ArticlePDF Available

Stress-Related Biosocial Mechanisms of Discrimination and African American Health Inequities

Authors:

Abstract and Figures

This review describes stress-related biological mechanisms linking interpersonal racism to life course health trajectories among African Americans. Interpersonal racism, a form of social exclusion enacted via discrimination, remains a salient issue in the lives of African Americans, and it triggers a cascade of biological processes originating as perceived social exclusion and registering as social pain. Exposure to discrimination increases sympathetic nervous system activation and upregulates the HPA axis, increasing physiological wear and tear and elevating the risks of cardiometabolic conditions. Consequently, discrimination is associated with morbidities including low birth weight, hypertension, abdominal obesity, and cardiovascular disease. Biological measures can provide important analytic tools to study the interactions between social experiences such as racial discrimination and health outcomes over the life course. We make future recommendations for the study of discrimination and health outcomes, including the integration of neuroscience, genomics, and new health technologies; interdisciplinary engagement; and the diversification of scholars engaged in biosocial inequities research.
Content may be subject to copyright.
SO44CH16_Goosby ARI 23 June 2018 9:11
Annual Review of Sociology
Stress-Related Biosocial
Mechanisms of Discrimination
and African American Health
Inequities
Bridget J. Goosby,1Jacob E. Cheadle,1
and Colter Mitchell2
1Department of Sociology, University of Nebraska–Lincoln, Lincoln, Nebraska 68588, USA;
email: bgoosby2@unl.edu, jcheadle2@unl.edu
2Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48104, USA;
email: cmsm@umich.edu
Annu. Rev. Sociol. 2018. 44:319–40
First published as a Review in Advance on
May 16, 2018
The Annual Review of Sociology is online at
soc.annualreviews.org
https://doi.org/10.1146/annurev-soc- 060116-
053403
Copyright c
2018 by Annual Reviews.
All rights reserved
Keywords
allostatic load, discrimination, genomics, HPA axis, racism, social exclusion
Abstract
This review describes stress-related biological mechanisms linking inter-
personal racism to life course health trajectories among African Americans.
Interpersonal racism, a form of social exclusion enacted via discrimination,
remains a salient issue in the lives of African Americans, and it triggers a
cascade of biological processes originating as perceived social exclusion and
registering as social pain. Exposure to discrimination increases sympathetic
nervous system activation and upregulates the HPA axis, increasing physio-
logical wear and tear and elevating the risks of cardiometabolic conditions.
Consequently, discrimination is associated with morbidities including low
birth weight, hypertension, abdominal obesity, and cardiovascular disease.
Biological measures can provide important analytic tools to study the inter-
actions between social experiences such as racial discrimination and health
outcomes over the life course. We make future recommendations for the
study of discrimination and health outcomes, including the integration of
neuroscience, genomics, and new health technologies; interdisciplinary en-
gagement; and the diversification of scholars engaged in biosocial inequities
research.
319
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
INTRODUCTION
Inequities in morbidity and mortality rates for African Americans compared to Whites are long-
standing and remain striking in the United States. Although the processes from which these
disparities arise are multifaceted, they are rooted in the historical legacy of racism that is woven
into the fabric of life in the United States. The United States is a racialized social system of
interlinked domains across layers of social organization (Reskin 2012), supported by practices and
behaviors that produce a network of relations at social, political, economic, and ideological levels
that together shape life chances and health inequities (Bonilla-Silva 2015). These forces act on
the bodies and minds of African Americans, eroding psychic resources and wearing bodies down.
We focus on a specific aspect of the United States’ racialized social system: the role of perceived
interpersonal discrimination over the life course. This review emphasizes how these negative social
experiences get under the skin via interactions with biological processes that support individuals’
capacities for responsivity and adaptation to stress.
Interpersonal discrimination is a mechanism of social exclusion that remains a pervasive prob-
lem in the United States (Priest & Williams 2018). In fact, in a 2017 national survey, 92% of
African Americans reported that discrimination exists in the United States today, and 75% of
those respondents believed that interpersonal discrimination is a significant social problem (NPR
et al. 2017). This review, therefore, focuses on (a) the pathways by which health inequities emerge
through interactions between the negative social experiences of interpersonal discrimination and
stress biology; (b) how these interactions emerge and are understood at different periods of the
life course; and (c) important new directions for future research at the intersection of the bio-
logical and the social. Biosocial processes linking discrimination to health are not exclusive to
African Americans, but we use African Americans’ unique conditions in the United States as an
important example. Much of what we discuss here is likely relevant to other stigmatized social and
racial/ethnic groups who experience high rates of interpersonal discrimination and social exclu-
sion (Pescosolido & Martin 2015). Moreover, the problem of racism is not unique to the United
States, and other societies also present racial health inequities to which the biosocial processes
reviewed here likely apply (Paradies 2006, Pascoe & Smart Richman 2009).
DEFINING DISCRIMINATION
Discrimination is the unjust or prejudicial treatment of a category of people. Minority racial
status is not a prerequisite for discrimination, but it is an important dimension along which
groups of people experience systemic adverse treatment (Williams & Mohammed 2009). This
systematic component with respect to race in general and African Americans in particular reflects
racism, that is, “the social categorization and stratification of social groups into races that devalues
and disempowers groups” (Priest & Williams 2018, p. 163). Racism is commonly conceptualized
across multiple levels. At the individual level, intrapersonal racism reflects individuals’ internalized
attitudes and beliefs about innate superiority or inferiority. Structural racism reflects the systematic
exclusion from institutions and markets, such as schools, employment, health, housing, credit, and
justice (Reskin 2012), as well as the withholding of symbolic resources within social institutions
and society more generally (Priest & Williams 2018).
Interpersonal racism, the focus of this review, is at a minimum a dyadic process of “discrimi-
nation between people, with varying degrees of frequency and intensity, including manifestation
from racially motivated assault to verbal abuse, ostracism, and exclusion” (Priest & Williams 2018,
p. 163). Such acts can reflect explicit biases (e.g., Jim Crow racism) and the aggressive acts of abuse
associated with racist ideologies, as well as implicit biases (e.g., aversive or colorblind racism) of
320 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
which the perpetrator may not be aware (Bonilla-Silva 2017) and that produce subtler forms of
exclusion (e.g., microaggressions; Sue et al. 2007). Each of these dimensions of racism contributes
to African American health inequities, and each is interdependent with the others.
SOCIOLOGY AND HEALTH BIOLOGY
Systematic and meta-analytic reviews of traditional survey-based studies demonstrate that per-
ceived interpersonal discrimination is associated with a broad range of mental and physical health
outcomes (Paradies et al. 2015, Priest et al. 2013, Pascoe & Smart Richman 2009). These studies
document consistent correlations of perceived discrimination with psychological constructs such
as depressive symptoms, anxiety, anger, low self-esteem, and negative well-being, as well as as-
sociated physical manifestations including poor self-rated health, low birth weight, hypertension,
obesity, high blood pressure, and cardiovascular disease. Models linking discrimination to health
usually posit two global pathways. The first pathway comprises physiological stress-related pro-
cesses, and the second reflects behavioral patterns (e.g., alcohol and substance use, diet, sexual
risk; e.g., Richman et al. 2018). This review focuses on the first set of stress biology pathways.
The pervasive adverse influences of discrimination on health point to a complex set of in-
teractions between human biology, the human brain’s capacity for sociality, and our social in-
terdependencies on one another. Our brains process and prepare for environmental (i.e., social)
demands by monitoring, regulating, and coordinating internal systems in a process of predictive
regulation termed allostasis (McEwen 1998, Sterling 2012). Allostatic mechanisms manage en-
ergy and homeostatic parameters when confronted with a stressor (McEwen 1998). From a social
science perspective, these allostatic parameters—physiological states—are latent variables. Re-
vealing these physiological indicators (i.e., biomarkers) allows researchers to peer into processes
otherwise invisible to the observer and often to the participants themselves. Many biomarkers are
highly sensitive, making it possible to determine health status characteristics prior to the onset
of morbidity. Moreover, the latent nature of biological measures also assists in addressing re-
verse causality concerns (e.g., negative affect bias) through traditional survey measures that link
perceived interpersonal discrimination to different facets of self-reported health (Richman et al.
2018).
Processes in our bodies are typically affected before we get sick enough to consciously recognize
the change in our health condition. To the extent that stressors become chronic, the modulation of
allostatic regulation can begin to tax systems over time, placing strain on those systems and wearing
them out due to the accumulating allostatic load burden (see also McEwen 1998). Allostatic load
refers to the wear and tear on bodily systems that occurs from frequent allostatic modulation arising
from exposure to chronic stress. The ongoing strain can limit physiological adaptive capacity to
stress by causing a failure to adapt to repeated stressors, by halting neuroendocrine and autonomic
responses, and generally by limiting the ability to respond adequately to stressors (McEwen &
Gianaros 2010). In this way, we could say that allostatic states accumulate over the life course and
are, over time, converted into physiological allostatic load traits.
Biological measures, thus, hold potential for understanding how social conditions and experi-
ences adversely affect health over the life course and at different points within it. Such measures
allow researchers to peer back earlier into life before illness manifests, and to quantify the tolls
exacted by socioenvironmental conditions. Together, period-specific modulation and accumula-
tion processes are critical for characterizing the what, when, and why of health outcomes. We
cannot review all the biological pathways by which racism in the United States affects health (e.g.,
differential exposure to environmental toxins as a result of residential segregation, etc.), and we
focus instead on the subdomains of neurobiology, stress physiology, and genomic factors.
www.annualreviews.org Discrimination and Health Inequities 321
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Amygdala: a brain
region serving several
functions, including
processing basic
threats (including
physical pain and
social rejection),
memory, decision
making, and emotions
Dorsal anterior
cingulate cortex
(dACC): a subdivision
of the anterior
cingulate cortex
involved in appraising
social experiences,
including social pain,
physical pain, and
reward-based learning
and memory
Anterior insula (AI):
a limbic-related cortex
involved in processing
norm violations,
emotions, empathy,
social decision making,
interoceptive
awareness, and pain
Periaqueductal gray
(PAG): the primary
control center for
descending pain
modulation
Dorsomedial
prefrontal cortex
(DMPFC): a brain
region involved in
creating a sense of the
self and of the mental
states of others
(“theory of mind”) and
in processing social
threat and exclusion
Ventromedial
prefrontal cortex
(VMPFC): a brain
region involved in
social decision making
and emotion
regulation
DISCRIMINATION AND HEALTH OVERVIEW
Sociologists have long recognized the pivotal role of social support and connection in human
health (House et al. 1988). Durkheim’s (1951) argument that social dynamics pattern individual
pathologies, of which integration and anomie are critical factors, is a staple of sociological training.
Interpersonal racism and the associated exclusionary acts of discrimination, whether intentional
or due to insensitivity, withhold their targets’ opportunities for inclusion and support. Targets of
racism and discrimination are thereby denied the symbols of group membership and the motivating
positive emotional energy that individuals derive from successful social experiences (Collins 2014).
Because interpersonal discrimination is socially patterned by racism, these experiences contribute
to large-scale population health inequities by regulating stress exposure risk beyond other forms
of social disadvantage [e.g., socioeconomic status (SES)] that are also patterned by racism (Glass
& McAtee 2006, Phelan & Link 2015).
To characterize why these experiences are harmful, it is important to begin not with the body,
but with the brain. For a social stressor like perceived interpersonal discrimination to get under
the skin, it must first get into the mind. Figure 1 presents a conceptual model illustrating the
stress-related pathways connected to interpersonal discrimination that we describe in the following
sections (see also Albert et al. 2013).
Neural Processing of Social Threats
In everyday language, negative social experiences are referred to as painful. When we have been
mistreated, we “feel hurt” by the experience (Eisenberger 2012). There is truth in these colloqui-
alisms. The neural structures supporting the emotional component of pain (as compared to the
somatic component) are shared with those supporting the experience of social pain that results
from social rejection and exclusion (Eisenberger 2012). Social connection is an important facet of
human survival. The mechanisms supporting protection from physical threats via physical pain
may have been conserved to support the feelings of social pain experienced when social inclusion
and therefore survival are threatened (Eisenberger 2013). The pathway between interpersonal dis-
crimination, neurobiological processes, and perceived discrimination is depicted in Figure 1.
A number of brain regions are responsible for processing different aspects of fear and pain,
including the amygdala, the dorsal anterior cingulate cortex (dACC), the anterior insula (AI),
and the periaqueductal gray (PAG). These regions detect and coordinate responses to perceived
threat, and along with the dorsomedial prefrontal cortex (DMPFC), they further support different
aspects of social exclusion processing (Eisenberger 2013), suggesting the shared basis for physical
and social pain mentioned above. These systems further interact with those that process safety in
the absence of negative outcomes, including the ventromedial prefrontal cortex (VMPFC) and the
posterior cingulate cortex (PCC) (Delgado et al. 2006, Schiller & Delgado 2010). Together, these
different systems monitor and respond to the social environment, including threats to inclusion,
and interact with key brain regions that mediate stress response systems.
These regions are embedded in large-scale intrinsic functional networks, including the salience
network (somatovisceral emotional experiences), the mentalizing network (“theory of mind”), and
the central executive network (cognition) (Barrett & Satpute 2013). The interactions within and
among these networks allow the social environment to be processed and monitored, support
socioenvironmental learning, and enable future social experiences and the anticipation of the po-
tential threats embedded in future encounters (Eisenberger & Lieberman 2004). Consequently,
whereas interpersonal discrimination can have localized harmful effects on a person via the im-
mediate needs it presents, the threat of such experiences is also a learning process, as depicted in
322 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
1
23
4
Interpersonal racism
Perceived discrimination
Allostatic load
SNS/SAM Glucocorticoids Inammation
Epigenetic processes, gene expression
Low birth weight, hypertension, obesity,
diabetes, cardiovascular disease
Learning, anticipation,
vigilance, behavior
Genetics, individual
experiences, life course
development
Hypothalamus
Pituitary
Adrenals
Flow of external to internal processes
Bidirectional ow from internal to external
Figure 1
Visual description of the reviewed biosocial links between interpersonal discrimination and health. This
figure is a visual abstract of the themes discussed in the paper and is not representative of all possible
biosocial relationships. Arrow boxes indicate temporal processes, blue boxes capture a range of predictors
and outcomes, and ovals indicate specific physiological response products that, over time, reduce health. In
section () interpersonal discrimination is identified by the brain as a stressor requiring immediate
physiologic response, and also, over time, it becomes a learned process that creates anticipation and vigilance
towards possible future exposures. Sympathetic nervous system arousal occurs in response to discrimination
stress exposure () and in concert with the upregulation of the hypothalamic-pituitary-adrenocortical axis
(). Together, these systems initiate stress activation including sympathetic-adrenal-medullary (SAM),
glucocorticoid, and inflammatory responses. When stress exposure is chronic, these responses create
allostatic load, or wear and tear on the body, and increase risks for a variety of adverse health outcomes
throughout the life course. Epigenetic processes and gene expression () contribute to the process in a
bidirectional manner. Social stress can potentially moderate gene expression and epigenetic processes over
the life course and across biological systems. The temporal nature of this process is depicted in the left to
right flow of Figure 1 and the epigenetic/expression feedback in Figure 1. Abbreviations: SAM,
sympathetic-adrenal-medullary system; SNS, sympathetic nervous system.
Posterior cingulate
cortex (PCC):
a brain region highly
interconnected with a
wide range of intrinsic
control networks,
including the
processing of emotions
and memory
Intrinsic functional
networks: widespread
brain regions that are
functionally
interconnected when
processing task
demands
the outward arrow box in Figure 1. These encounters shape how individuals understand their
experiences, form expectancies for future encounters, and therefore monitor and prepare the body
(i.e., predictive regulation) for the social interactions embedded in the social environments they
inhabit and pass through (i.e., vigilance; Blair & Raver 2012, Lewis et al. 2015).
These neural processes are therefore important for monitoring and recognizing discrimination
as a first phase in the downstream stress-related physiological cascades that we have depicted in
the descending pathways in Figure 1. Several studies now document the links between activity in
the neural regions involving social exclusion–related brain areas and different aspects of the stress
process. These regions monitor the environment for social feedback, including threats to social
inclusion, and coordinate physiological responses (Eisenberger 2013).
www.annualreviews.org Discrimination and Health Inequities 323
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Salience network:
network involved in
detecting and filtering
salient stimuli, with
anatomical
connections important
for autonomic nervous
system and hormonal
modulation
Mentalizing
network:
a network involved in
understanding the
mental states of self
and others that guide
or are responsible for
overt behavior
Central executive
network: a network
subserving basic
cognitive processes
such as attentional
control, cognitive
inhibition, inhibitory
control, working
memory, and cognitive
flexibility
Central nervous
system (CNS): the
part of the nervous
system containing the
brain and the spinal
cord
Peripheral nervous
system (PNS): the
nerves and ganglia
outside the brain and
spinal cord that relay
information from the
CNS to the rest of the
body
Autonomic nervous
system (ANS):
a largely unconscious
PNS subsystem
regulating bodily
functions such as heart
rate, digestion,
respiratory rate,
pupillary response,
urination, and sexual
arousal
Sympathetic Nervous System
At the broadest level, the nervous system consists of the central nervous system (CNS), which
contains the brain and spinal cord, and the peripheral nervous system (PNS), which contains
nerves and ganglia outside of the CNS. An important subdivision of the PNS is the autonomic
nervous system (ANS), which controls a range of bodily functions (e.g., heart rate, respiration,
digestion). In the ANS, the sympathetic nervous system (SNS) prepares the body to deal with
the demands of the environment, including threats to social inclusion (Bosch et al. 2009), and it
is responsible for the fight-or-flight response. A related balancing branch, the parasympathetic
nervous system (PSNS), manages recovery (rest-and-digest response). The SNS and PSNS work
mostly, but not entirely, in opposition to one another. SNS modulation, in particular, can be
damaging to health when stress is chronic (see Figure 1).
CNS activity in the dACC, AI, PAG, and amygdala associated with social exclusion and inclu-
sion processing (Eisenberger 2013) is connected to increased SNS activity (e.g., blood pressure,
heart rate) (Critchley et al. 2003, McEwen & Gianaros 2010). Moreover, damage to the dACC
decreases reactivity to mental stressors (Critchley et al. 2003), suggesting that the dACC mediates
ANS activity. VMPFC activity during fear extinction tasks predicts decreased SNS activity (Phelps
et al. 2004) and reduced cardiovascular responses during a social stressor (Wager et al. 2009), pos-
sibly due to associations with the PSNS (H¨
ansel & von K¨
anel 2008). The hypothalamus mediates
SNS reactivity to social exclusion threats such as perceived discrimination. The hypothalamus is
a structure located in the limbic system composed of small nuclei that manage a variety of ANS
functions. Relevant hypothalamus-mediated SNS activity has been referred to as the sympathoa-
drenal or sympathetic-adrenal-medullary (SAM) system (Cohen et al. 2007). SNS-triggered SAM
activity releases the adrenal hormones epinephrine/adrenaline and norepinephrine/noradrenaline,
which increase blood sugar, heart rate, and blood circulation, and reallocates energy to be utilized
during the acute-phase response to a stressor.
An important consequence of this elevated SAM activity is increased wear and tear on the
cardiovascular system (Brotman et al. 2007). Cardiovascular responding shows different patterns
depending on whether the stressor is positive or negative. In the former case, heart rate increases
and blood vessels dilate, lowering total peripheral resistance while increasing cardiac output and
keeping blood pressure relatively stable. During negative stressors, by contrast, blood vessels con-
tract, restricting blood flow for fast circulation and increasing blood pressure (Brondolo et al. 2003).
This elevated blood pressure, amounting to hypertension when chronic, is particularly dangerous
due to increased blood viscosity from elevated blood glucose levels and to increases in certain
cholesterol particles that contribute to arterial scarring and elevated cellular inflammation, which
are precursors to atherosclerosis (Sapolsky 2004). These conditions are all indications of higher
allostatic load in the body and markers of accelerated stress-induced wear and tear (McEwen 1998).
HPA Axis
Sociological research has sought to understand the stress process in terms of socially patterned
stressors that shape mental and physical health (Pearlin 2010). These studies have documented
stress typologies and characterized key mediators and moderators in the stress process, such
as social support (Pearlin 1999). The stress process model argues that the consequences of exposure
to stressors such as chronic economic hardships create psychological burdens that are challenging
for individuals to bear, leading to declines in health resulting from maladaptive psychological and
behavioral coping (Turner 2013). More recent stress process models include attention to physi-
ological stress reactivity, adaptation, and load via the hypothalamic-pituitary-adrenal (HPA) axis
( Jackson et al. 2010, Turner 2013), depicted in Figure 1.
324 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Sympathetic nervous
system (SNS):
the fight-or-flight
subsystem of the ANS
that accelerates the
heart rate, constricts
blood vessels, and
raises blood pressure
Parasympathetic
nervous system
(PSNS): a subdivision
of the ANS that serves
to slow the heart rate,
increase intestinal and
glandular activity, and
relax the sphincter
muscles
Sympathetic-
adrenal-medullary
(SAM) system:
hypothalamus-
mediated stress
response system that
controls adrenaline
and noradrenaline
release, upregulating
the SNS and
downregulating the
PSNS
Along with SNS/SAM processes, the HPA axis is a key mediator of stress responsivity and
long-term health outcomes. The HPA axis is a complex set of interactions comprising direct ef-
fects and feedback loops among the hypothalamus, the pituitary gland, and the adrenal glands.
The primary function of the HPA axis is to regulate metabolic (neuroendocrine) and immune
function (McEwen & Gianaros 2010). This system is primarily responsible for metabolizing car-
bohydrates, fats, and proteins; for gluconeogenesis (internal production of blood glucose); and
for inflammatory immune function regulation (Sapolsky 2004). The HPA axis elevates circulating
hormone levels, starting with the activation of corticotropin releasing hormone (CRH), which
triggers the production of adrenocorticotropic hormone (ACTH) into the bloodstream. ACTH
triggers the release of glucocorticoid hormones, including cortisol. Cortisol, a stress hormone,
regulates metabolic function (e.g., circulating blood glucose, fat storage, insulin response), immune
response (e.g., increased inflammation for wound healing), and mood (Sapolsky 2004). Cortisol
facilitates easy energy access by reducing the body’s sensitivity to insulin, the hormone responsible
for regulating uptake of blood glucose for storage in cells, while increasing gluconeogenesis. In
addition, cortisol promotes the breakdown of fats into fatty acids (lipolysis) and contributes to the
initial inhibition of inflammatory and acute-phase immune responses to infection (McEwen 2003).
Neural sensitivity to social exclusion and reactivity to negative social experiences such as per-
ceived interpersonal discrimination are linked directly to HPA axis activity. For example, social
stress experiments show increased HPA activity in response to social evaluative threats (Bosch
et al. 2009, Dickerson et al. 2009). Greater activity in the brain regions involved in processing
and monitoring for threat is also implicated. Activation in the dACC during a mental stress task
is associated with increased stress hormone output (Wang et al. 2005), and increased cortisol is
also predicted from dACC and DMPFC activity in response to social exclusion (Dedovic et al.
2009). Although such increases are adaptive in the short term, chronic increases in circulating
blood glucose, coupled with the dampened response to insulin regulated by higher cortisol lev-
els, heighten the risk for insulin resistance, abdominal obesity, and type 2 diabetes (Black 2003).
As with SNS/SAM, HPA pathways also create wear and tear on the arteries via an increase in
particle-dense blood. This increased blood viscosity is thought to cause inflammation and arterial
scarring, both of which are risk factors for cardiovascular disease and indicators of allostatic load
(Seeman et al. 2010).
Genomics
Genetic research is perhaps the most controversial area of biologically informed sociological re-
search. Concern that genetic research will be used to support racist agendas is a reflection of the
larger societal problem of racist ideologies, racial domination, and dehumanization (Zuberi et al.
2015). In practice, genomic research on African ancestry groups lags behind studies of European
ancestry groups, despite evidence that more multiethnic research is needed (Need & Goldstein
2009). This lag partly reflects the challenges of population stratification and admixture resulting
from slavery, a reliance on nonrepresentative higher-SES European-ancestry samples, a genotyp-
ing technology tailored for the more genetically homogenous European ancestry, and the complex
politics of race (Bentley et al. 2017, M´
arquez-Luna et al. 2017, Popejoy & Fullerton 2016). Conse-
quently, Eurocentric estimates perform poorly for groups from different ancestral lineages and who
experience different environments (M´
arquez-Luna et al. 2017, Ware et al. 2017). Multiple reviews
document the current methods, results, and major concerns of genetic research for social scientists,
including the lack of diversity in study populations (Duster 2015, Freese 2008, Mitchell 2018).
The a priori rejection of genetic information based on the key (and well-documented) distinc-
tion between genetic ancestry and the social attribution of race impairs our understanding of how
www.annualreviews.org Discrimination and Health Inequities 325
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
life in a racialized social system affects health through genetically influenced biological pathways.
Genetic variation, depicted in the entering arrow box in Figure 1, contributes to variability
of all the biological systems discussed above, and therefore it influences the individual capacities
underlying sensitivity to social exclusion and need for inclusion (Preller et al. 2016), emotional and
physiological reactivity (Mitchell et al. 2013, Moore & Depue 2016, Pluess 2015), and individual
differences in allostatic load accumulation (Brody et al. 2013). Moreover, the activity of genetic
networks varies during development, modulating the organism’s responses to the environment at
different life stages (Manuck & McCaffery 2014, Mitchell et al. 2013). Biosocial interactions likely
occur at a much higher level of biological organization than the gene, which is likely why most
genetic effects are exceptionally small and come from across the genome (Belsky et al. 2013). Be-
cause the genome evolved to set the parameters for environmental responsiveness, understanding
the underlying architecture of these biological processes provides clear benefits. Further, genes
may be highly informative if we consider that some of the biological levels are too dynamic or
too invasive to measure, such as the neurotransmitter systems that regulate communication be-
tween nodes in the neural networks involved in monitoring and responding to social inclusion and
exclusion (Preller et al. 2016).
Moreover, it is more useful to think in terms of genomics and not just genes, as we have indi-
cated at the bottom of Figure 1. The gene is a predictor that can be linked to the environment via
gene by environment interaction (GxE), but other genome features occupy different locations in
causal models with environmentally dependent pathways. Gene expression is the process by which
the information contained on the chromosome (DNA, epigenetics, etc.) is used to assemble func-
tional gene products. Research indicates that social stress regulates gene expression, potentially
moderating allostatic response and load accumulation. For example, social stress is associated with
upregulated pro-inflammatory immune response and downregulated antiviral immune response
(Slavich & Cole 2013). Loneliness is also implicated in differential expression of the genes involved
in reward circuits in the CNS (Canli et al. 2017), and the social stress of loneliness is associated with
differential expression of genes containing glucocorticoid receptor response elements (Cole 2013).
Gene expression is also dependent on epigenetic processes, as indicated by the dashed feedback
loop in Figure 1. Epigenetics—for example, DNA methylation—is the study of the chromo-
somal alterations that influence gene activity and expression without changing the nucleotide
sequence (Champagne 2018). Methylation, the process by which methyl groups attach to DNA
by binding to a cytosine base, typically diminishes and can even turn off gene expression (less
commonly, genes can also be turned on). Interpersonal discrimination is associated with meth-
ylation patterns (Brody et al. 2016, Saban et al. 2014), as is stress more generally (Champagne
2010, Mitchell et al. 2015). Epigenetic regulation of the genome is environmentally dependent and
sensitive to social experience. Both methylation (Horvath 2013) and length of telomeres—DNA
sequences at the end of the chromosome that (generally) shorten with aging and stress (Shalev
et al. 2013)—appear to provide indications of the degree of cellular adversity and biological aging.
Interpersonal discrimination is associated with shorter telomere length in adults (Chae et al. 2014,
Lee et al. 2017) and in the placentas of newborns of women exposed to discrimination during
pregnancy ( Jones et al. 2017). Further, it is well documented that all of these genomic processes
(from epigenetics to gene expression) are highly developmental and change throughout the life
course (Champagne 2010, Manuck & McCaffery 2014, Mitchell et al. 2015, Shalev et al. 2013).
DISCRIMINATION AND HEALTH OVER THE LIFE COURSE
The stress process model provides an important heuristic guide for understanding the conse-
quences of socially stratified and patterned stressors for well-being (Pearlin 2010). Of particular
326 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
importance is how exposure to chronic stress is regulated by ascribed characteristics of varying
social value (i.e., race) and their convergence with role statuses (i.e., student, parent, employee
etc.) over the life course (Pearlin 1999). Over their lives, individuals move from birth (when ad-
verse birth outcomes shape health and developmental trajectories), to childhood (when social
networks remain small and dependency on parents remains high), through adolescence (when
social networks expand and youth individuate from parents), and into adulthood (with its myriad
roles, demands, and dependencies). For stigmatized groups like African Americans, it is worth
considering whether some periods may be more sensitive to social rejection and exclusion than
others and how health deficits accumulate over that time (Colen 2011). The social exclusion of
interpersonal discrimination is a moment of learning that conditions how future social interactions
are experienced. It is also a moment of allostatic responding via SNS/SAM, HPA, and genomic
mechanisms that, when viewed over the life course, contribute to a stress-response time series
over which allostatic loads accumulate. Considering this process over the life course is important
to understand the when, why, and what of physiological functioning and therefore to identify
the first emergence of the biological manifestations of health disparities documented by midlife.
The temporal nature of this process is depicted in the left to right flow of Figure 1 and the
epigenetic/expression feedback in Figure 1.
Birth
African Americans experience substantially disparate birth outcomes compared to Whites. Birth
disparities have not improved significantly since the Jim Crow era (Sullivan 2013), and the odds
of low birth weight (<2.5 kg) and preterm birth for African Americans remain respectively 1.6
and 1.9 times larger than they are for Whites, even after controlling for a variety of factors
like SES (Schempf et al. 2007). Notably, the odds of unfavorable birth outcomes among African
immigrants in the United States decline substantially as time spent in the country increases,
converging with those of African American women by the third generation (David & Collins
1997). African American women exposed to discrimination during pregnancy have elevated blood
pressure, and their offspring have lower birth weights and higher preterm delivery risks (Hilmert
et al. 2008, 2014; Slaughter-Acey et al. 2016), outcomes strongly correlated with infant mortality
(Collins & David 2009, Schempf et al. 2007).
The in utero environment is a critical period shaping health risk trajectories.Exposure to stress-
ful conditions influences the neural and physiological stress pathways of the fetus via cascading
metabolic, epigenetic, and gene expression alterations (Champagne 2010, Godfrey & Barker 2001,
Mitchell et al. 2015, Thayer & Kuzawa 2015). Poor birth outcomes are associated with abdominal
obesity, insulin resistance, hypertension, type 2 diabetes, and cardiovascular disease (Nobili et al.
2008, Singhal et al. 2003), conditions for which African Americans are disproportionately at risk
(CDC 2005, Zhang et al. 2009). Though these conditions represent health risks, they are the
body’s way of preparing the offspring for the environmental stressors that may be experienced
outside the womb. In this way, the environment in the womb mirrors maternal stress-related
factors, preparing the child for the mother’s social environment.
For example, women who experience stress while pregnant secrete higher levels of CRH from
both brain and placenta, upregulating fetal neuroendocrine and HPA axis response during key
developmental periods of gestation (Collins & David 2009). Consequently, the fetus may be ex-
posed to higher levels of stress hormones, including cortisol, which can restrict growth and elevate
preterm delivery risk (Shapiro et al. 2013). When the fetus is exposed to high levels of stress hor-
mones through the placenta, glucocorticoid (i.e., stress hormones) receptors are downregulated
in the hippocampus, disrupting a key pathway modulating HPA axis activation. At the same time,
www.annualreviews.org Discrimination and Health Inequities 327
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
receptor density in the amygdala is increased, affecting a key region involved in SNS/SAM and
HPA responsivity and activation (Wadhwa 2005). These influences may emerge through epige-
netic processes that prepare the offspring for life in a high-stress environment. In other words,
the in utero environment prepares the offspring stress reactivity profile for stressful environ-
mental conditions outside the womb (Kuzawa & Sweet 2009, Mitchell et al. 2015, Shalev et al.
2013).
Childhood and Adolescence
In many ways, African American children in the United States are not given the same opportunities
to enjoy childhood as White youth (Goff et al. 2014). By the time they reach three or four years
of age, young children of color are able to discern the members of dominant social groups and to
perceive negative racial stereotypes (Averhart & Bigler 1997, Branch & Newcombe 1986). This
awareness may reflect African American experiences of discrimination in the form of racial slurs and
taunts, bullying and social exclusion, harassment by the police, and the disproportionate allocation
of punitive treatments in school (Perry & Morris 2014, Sanders-Phillips 2009). Consequently,
African American children are at risk of experiencing elevated feelings of danger, social isolation,
and psychological distress (Sanders-Phillips 2009). Together, these factors work to upregulate
stress response systems via brain-mediated pathways, and in combination with greater stress across
life domains due to factors such as residential segregation and other features of the United States’
racial hierarchy (e.g., Massey & Denton 1993), they may exceed some individuals’ ability to cope
and respond effectively (Sanders-Phillips et al. 2009).
In their systematic review, Priest and colleagues (2013) found that exposure to discrimination
from birth through age 18 was linked to a range of negative mental health outcomes. Early life
stress is linked to higher blood pressure, blood glucose, body mass index, and pro-inflammatory
immune function in childhood and adolescence, thus elevating chronic disease risk as youth age and
physiological insults accumulate (Goosby et al. 2016, Miller & Chen 2010). In children as young as
9 or 10 years old, exposure to discrimination is associated with elevated blood pressure and higher
inflammatory markers (Goosby et al. 2015) as well as flatter diurnal cortisol curves (Martin et al.
2012). Moreover, a number of studies now document genomic (i.e., GxE, epigenetics, telomere
length, etc.) correlates of social experiences disproportionally experienced by African American
children that may modify stress-health pathways in the long term (Champagne 2018, Mitchell
et al. 2017, Notterman & Mitchell 2015, Shalev et al. 2013).
Adolescence is marked by a host of interlinked physiologic and social transitions, including
neural sensitivity to social exclusion (Masten et al. 2009). Motivated by the biological changes due
to pubertal onset and development, youth become increasingly aware of their status in peer social
hierarchies as they shift from parents to peers as their primary socializing agents (Goosby et al.
2013). They may also become aware that they inhabit highly racialized systems of oppression as
they are exposed to discriminatory experiences in the expanding range of social environments their
autonomy allows them to navigate (Hope et al. 2015, Morris & Perry 2016). Also during this time,
adolescents may be exposed to more discrimination and become increasingly cognizant of the
vicarious discrimination and microaggressions experienced by themselves, their family members,
friends, peers, and others (Wickrama et al. 2017). Such experiences may add to or exacerbate their
existing stress burden, increasing allostatic load earlier in life and setting the stage for morbidity
and mortality inequities including obesity, hypertension, and cardiovascular disease (Goosby &
Heidbrink 2013).
Studies examining African American/White differences from adolescence into adulthood sug-
gest that the secretion of cortisol among African American adolescents is higher at bedtime and
328 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
flatter during the day, indicating higher levels of stress activation (DeSantis et al. 2007). These
profiles are also possible indications of reduced allostatic responding due to stress cascade modi-
fications resulting from persistent stressor anticipation and exposure (DeSantis et al. 2007, 2015).
Consequently, adolescent reports of discrimination are associated with flatter cortisol curves in
adulthood (Adam et al. 2015). Importantly, diurnal cortisol curves appear to peak during days
characterized by positive affect, as indicated by a steeper decline during the day (Hoyt et al.
2015). Interpersonal discrimination is also positively associated with higher allostatic load (Brody
et al. 2013) and elevated pro-inflammatory cytokine markers (Brody et al. 2015), an indicator of
inflammation.
Adulthood
Adulthood is generally the time when illness manifests. Earlier life course stages set up the health
patterns during adulthood, altering aspects of CNS social processing, moderating health physi-
ology and genomic mechanisms, and accumulating wear and tear. Stressors broaden and deepen
with age, social roles become more complicated, and family and other interdependencies become
more crucial. Given these many challenges, early adversity sets the individual baseline upon which
the unique stressors of adulthood continue building.
Emerging adulthood. Emerging adulthood (ages 18–29) involves various transitions or turn-
ing points, including education, employment, parenthood, and marriage, all of which can transpire
in the context of interpersonal discrimination (Hope et al. 2015). Such disruptive exposures can
exacerbate the existing stress burden associated with normative transitions during this period.
Indeed, the African American/White allostatic load gap is already pronounced at ages 18–24 and
continues to widen through middle age (Geronimus et al. 2006). In one functional magnetic res-
onance imaging (fMRI) study on discrimination, adults in this age range showed greater social
pain–related CNS activity and reduced neural activity associated with emotion regulation in re-
sponse to negative social treatment, though discrimination was associated with lower social pain
but greater regulatory CNS activity (Masten et al. 2010).
Important experimental laboratory studies have demonstrated that exposure to discrimination
for African American college students is linked to ANS and SNS responses. Blood pressure,
an indicator of SNS activation, is positively associated with discrimination in individuals with
lower Afrocentric orientation relative to college students with stronger Afrocentric orientation
(Neblett & Carter 2012). Perceived discrimination among African American (but not White)
college students is linked to lower heart rate variability, an indicator of SNS-PSNS modulation
and a cardiovascular risk factor (Hill et al. 2017, Williams et al. 2017). These laboratory studies
provide important clues regarding the physiological load accumulated by minority college students
in predominantly White spaces.
As they transition into parental roles, African Americans must consider their children’s ex-
periences with race-related stressors such as discriminatory experiences in schools and with law
enforcement (Dow 2016). Though little is known about how these worries affect parents’ health,
there is evidence that such conditions can lead to psychological stress and rumination (Murry
et al. 2001). Indeed, according to one estimate among college-educated adults, African Ameri-
cans’ allostatic load levels are 32% higher than those of comparable Whites (Howard & Sparks
2015). However, it is not clear how much of this disparity is due to the unique contributions of
parenting stress, to the high probability of contacts with Whites for this group of relatively advan-
taged African Americans (i.e., interpersonal discrimination), and to other factors (i.e., structural
or intrapersonal racism, behaviors, etc.).
www.annualreviews.org Discrimination and Health Inequities 329
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Middle age through senescence. By middle age, African American adults show numerous signs
of accelerated aging. For example, as measured by telomere length, African American women aged
49 to 55 are estimated to be 7.5 years biologically older than SES-comparable White counterparts
(Geronimus et al. 2010). There is recent evidence indicating that African American adults aged
51 and older who reported the highest lifetime discrimination exposures had shorter telomere
lengths relative to those who reported low to moderate levels of lifetime discrimination (Lee et al.
2017). Discrimination among middle-age and older African Americans is also associated with
other health-related markers predictive of chronic stress–related conditions such as diabetes, heart
disease, and stroke. Discrimination is associated with higher levels of the inflammatory marker
C-reactive protein (Lewis et al. 2010), elevated stress hormones (Fuller-Rowell et al. 2012),
abdominal/visceral fat (Lewis et al. 2011), high blood pressure (Lewis et al. 2009), oxidative stress
(Szanton et al. 2012), and coronary artery calcification (Everage et al. 2012). These outcomes are
important to note given the acute differences in health outcomes between African Americans and
Whites during middle age, and they likely reflect patterns of wear and tear accumulation over
many years.
African American adults have persistently higher allostatic load relative to Whites until they
reach age 60–65, at which point such disparities appear to reduce in magnitude, perhaps due
to mortality selection (Levine & Crimmins 2014). When comparing the allostatic load levels of
African American and White adults, Duru and colleagues (2012) found evidence that the disparities
in diabetes- and cardiovascular-related mortality were partially explained by allostatic load, and
these differences were independent of SES (Duru et al. 2012). These findings are significant given
that African Americans are also more likely to experience earlier onset of age-related chronic
diseases and fatal chronic conditions (Levine & Crimmins 2014). In fact, 28% of cardiovascular
deaths among African Americans occur at less than 65 years of age compared to 13% for Whites,
a difference that persists after controlling for SES (Jolly et al. 2010).
It is important to recognize the intersecting life-course pathways that come to shape African
American health disparities, including factors such as improved SES that may lead to additional
race-related stressors. Indeed, a recent study using the 1979 National Longitudinal Survey of
Youth (NLSY79) showed both that African Americans reported higher rates of discrimination
as they moved up the socioeconomic ladder relative to their SES-stable counterparts and that
the high rates of discrimination explained the racial disparity in health outcomes among upwardly
mobile adults (Colen et al. 2018). Additionally, an important and understudied area requiring more
attention is the role of death and bereavement as an extension of systemic racial inequality that
interpersonal discrimination likely contributes to. African American health inequities contribute
to the likelihood of experiencing the loss of multiple loved ones over the life course, which is a
traumatic and acute stressor that appears to exacerbate individual and intergenerational health
risks within African American families (Umberson et al. 2017).
FUTURE ISSUES
In this review we have emphasized stress-related processes modulated by experiences of inter-
personal discrimination, so we now focus on promising directions within this domain. There
remain a number of important avenues for continuing to illuminate the harsh inequities of life
in a racialized social system. We have focused on African Americans in this review, but research
on other marginalized social groups exists (though substantially smaller), and at a time of in-
creased aggression and hostility toward people of color, immigrants, sexual minorities, and people
of non-Christian faiths, more research is needed. In this final section, we discuss important de-
velopments emerging across a variety of disciplines that hold promise for better measurement
330 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
of racial inequality and the dynamic, adaptive biosocial pathways through which social condi-
tions shape health trajectories. Rather than reifying disciplinary boundaries, we see great value in
incorporating biological assessments into sociological research.
Neurobiology
We began our review of biosocial mechanisms noting the importance of the CNS as the mediator
of social experience and regulator of SNS/SAM and HPA axis activity. Neurosociological progress
since Massey (2002) in his 2001 presidential address to the American Sociological Association in-
troduced the limbic system and its role in cognition has been limited. That is not to say, however,
that there has been no progress. Theorists have grappled with the role of social encounters in
positive emotions and motivation (Collins 2014) and with the relationships between emotions and
neurobiology for social organization (Turner 2007). A more recent wave of scholars is becoming
involved in neuroscience research using brain imaging to answer sociological questions (Kalkhoff
et al. 2016; Kiat & Cheadle 2017; Kiat et al. 2016, 2017; Melamed et al. 2017). At the same time,
there is a growing interest in combining demographic population perspectives with neuroscientific
frameworks (Falk et al. 2013). We have argued that because the brain is the key mediator of both
experience and physiological regulation (McEwen 1998, Sterling 2012), a deeper understanding of
it is necessary for broadly conceptualizing stress-related and experiential emotion-based processes.
Such understandings are likely important for genetic and some genomic pathways, because many
pathways that are considered sociologically relevant (e.g., 5-HTTLPR) underlie neurobiological
systems. Imaging technologies may, in the future, shed light on how discrimination affects struc-
tural and functional neural network connectivity and may thereby illuminate important aspects
of social and emotional processing. Currently, the neuroscience of discrimination exposure is in
its infancy if compared to general experiences of social exclusion, and more work is needed to
determine how these experiences influence the brain to modify the ways individuals experience
and process complex social environments and interactions (Kiat et al. 2016, Masten et al. 2010).
The brain is the organ that decodes and responds to social experiences and is an important new
frontier for sociological researchers.
Sensor-Based Health Measurement
The knowledge base for understanding the basic biological pathways supporting health has de-
veloped rapidly and continues to do so. New assays and technologies will continue to provide
greater insight into specific mechanisms within different systems as the utility of saliva, blood,
and other tissues continues to expand. Whereas biological researchers seek to peer into different
processes in the body, sociologists often seek more global indicators and indexes, for example
when they use multiple biomarkers to estimate allostatic load. Although many of the biological
underpinnings already in place have utility in sociological research, looking forward sociologists
may begin considering noninvasive biosignals as compared to, or for use in conjunction with,
biomarkers. Rapid technological development is quickly expanding the nature and type of tools
available to researchers thanks to the tremendous diffusion of smartphones and wearable devices
as technology companies seek to capitalize on these markets.
The tools of ambulatory research (Trull & Ebner-Priemer 2014), such as ecological momentary
assessment, promise to more accurately characterize the nature of discriminatory experiences, their
frequencies, and the ways they are experienced. Discrimination research has mostly relied on scales
with item categories that provide only gross estimates of exposure rates. Cell phone frameworks
are now available for passive data collection (Ferreira et al. 2015), along with applications for
collecting real-time social contact networks within which individuals’ social experiences can be
www.annualreviews.org Discrimination and Health Inequities 331
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
situated (Fournet & Barrat 2014). Wearable devices are also receiving a great deal of attention,
with consumers using a range of sensors to gather data about themselves with the goal of informing
their health decisions (Swan 2013). Health assessment devices currently use signals measured on
the body, such as photoplethysmography (PPG) sensors for heart rate (Lu et al. 2009), changes in
skin conductance due to SNS activity (Boucsein 2012), and accelerometers (Goosby et al. 2018).
These approaches provide detailed information on aspects of the CNS, the PSNS, and physical
activity and sleep. Taken together, this engineering-based side of biological assessment holds
promise for monitoring emotional lability, activity and sleep recovery, social contacts, and high-
frequency participant reports on these and other factors. The timescales of some of these processes,
sometimes of the order of seconds, can be much finer than they are for traditional biomarkers,
which can span minutes or years. However, these measures assess state-based allostatic processes
and will need to be linked to longer-term measures of trait-based traditional biomarkers of allostatic
load to clarify how dynamic dimensions of interpersonal discrimination are associated with health
biology to form biosocial signals of sociological significance.
Genomics
As described above, the vast majority of work linking genetics to health outcomes has been con-
ducted on White European-ancestry populations (Need & Goldstein 2009, Popejoy & Fullerton
2016), and in their current state many of these genetic correlates do not perform as well in
non-European-ancestry populations (Ware et al. 2017). Nevertheless, as more African and other
non-European genetic work is conducted, the CNS underpinnings of social exclusion sensitivity
and vigilance, HPA reactivity, and behavioral or health outcomes may help detect the effects of
discrimination by controlling how genes and experiences interact to regulate the risks of poor
health outcomes. Discrimination may, like other social stressors, be moderated by genotype (i.e.,
by GxE). Finding those GxE will be challenging, and understanding the stress dynamics by which
interpersonal discrimination affects health-related processes may require greater use of molecu-
lar approaches such as epigenetics and gene expression. Further, in nearly all genomic research,
ancestry will continue to be an incredibly complex confounder. Ancestry is strongly correlated
with genotype frequency, and it may be strongly correlated with, but not be the same as, socially
ascribed race (Guo et al. 2014), which is what typically defines health inequities. Extremely careful
and thoughtful research is needed to disentangle GxE factors and explain how discrimination
interacts with the body to dysregulate physiological systems and increase allostatic load, thereby
becoming embodied.
The relatively recent use of genomic mechanisms in stress—and especially discrimination—
research has not afforded sufficient time to fully determine which measures are robust biological
mechanisms and which are symptoms of health decline. For example, is telomere shortening
associated with discriminatory stress resulting in higher rates of cancer, or is telomere shortening
simply a summary of chronic systemic dysregulation (especially at younger ages)? Work in the
next decade will likely begin by separating the extent to which these measures are acting as
mechanisms or biomarkers. This distinction almost certainly varies by stressor and health outcome
combination. Biosocial researchers are finally harnessing the necessary longitudinal data in non-
White samples to address these types of questions with respect to the unique constellations of
stressors experienced by non-European-ancestry populations (see Popejoy & Fullerton 2016), and
such research is supported by a recent NIH funding opportunity for social epigenetics research
on minority health and health disparities. The models resulting from this research will provide
new opportunities for understanding how social and genetic factors interact to shape complex
behavioral phenotypes and disease susceptibility.
332 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Training
As biological data expand into sociology, there is a tremendous need for collaboration between
biological scientists and health inequality and discrimination researchers across a range of increas-
ingly relevant fields, such as computer science and engineering, molecular biology, immunology,
and neuroscience. Biosocial problems are hard problems. Scholars in these areas will continue to
explore the links between stress and health alongside their colleagues in the social sciences, and
it is worth considering how this research will benefit from the inclusion of sociologists in inter-
disciplinary teams. Sociological perspectives that emphasize the role of discrimination at multiple
levels of social organization have much to offer because they inherently recognize that discrim-
ination today reflects ongoing historical processes whose roots spread deep and wide within our
culture. In the same way that sociologists are unfamiliar with the complexity of biological systems,
biologists and health scientists tend to be reductionist with respect to social context. Furthermore,
the sociologists who study different facets of discrimination themselves come from diverse back-
grounds, experiences, and perspectives. In particular, just as the biological data have often been
examined in White or European-ancestry samples, the vast majority of researchers in this area are
White. We strongly encourage scholars of color to lend their experience, knowledge, and skills
to this work, and we believe that broad and inclusive participation will help protect the future
of biosocial science from the mistakes of the past. In short, biosocial work—even concerning
discrimination—will continue to expand rapidly, and we argue it will be far more consequential
and accurate if sociologists are significantly involved.
CONCLUSION
This review has focused on an important dimension of the United States’ racialized social sys-
tem: the role of interpersonal discrimination and how this social experience becomes embodied.
Through stress process mechanisms, social experiences are translated into short-term physiological
states; over time, through learning processes and repeated experiences, the allostatic modulation
of physiological states accumulates allostatic load and potentially modifies and is modified by
genomic processes. The health inequities experienced by African Americans over the life course
begin at birth, when reproductive processes program the newborn for the stressful environment
experienced by the mother, whose level of physiological stress is the result of a life-long adapta-
tion process. Although we have pointed to some promising directions for future research, other
scholars would almost certainly have pointed in other directions and emphasized discrimination
at other levels of social organization. The mechanisms conducive to poor health are many, and
large-scale patterns of racial inequity have long been embedded in different facets of the racist so-
cial organization of the United States. However, even if we strip away the broad macro-structural
patterns of inequality in the United States and focus instead on the systemic yet small-scale in-
terpersonal interactions in which discrimination is enacted face-to-face, differential treatment via
exclusionary acts has large-scale consequences for population health.
SUMMARY POINTS
1. The majority of African Americans believe interpersonal discrimination is an important
social issue.
2. Interpersonal racism is enacted through discrimination, a form of social exclusion that is
processed in the brain as social pain in the same regions associated with the emotional
components of physical pain.
www.annualreviews.org Discrimination and Health Inequities 333
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
3. Activity in the neural regions that process social exclusion is associated with increased
SNS and HPA axis activity.
4. SNS and HPA activity increase the risk of cardiometabolic conditions and cardiovascular
wear and tear.
5. Genomics can be an important analytical tool to investigate the interactions between
experiences of racial inequality and life-course health outcomes.
6. Discrimination against African Americans is associated with adverse birth outcomes,
hypertension, abdominal obesity, cardiovascular disease, and other associated morbidities
over the life course.
7. In the future, sociologists are encouraged to integrate neuroscience, genomics, and new
health technologies; to engage in interdisciplinary collaboration; and to diversify the pool
of scholars engaged in biosocial health inequities research.
DISCLOSURE STATEMENT
The authors are not aware of any affiliations, memberships, funding, or financial holdings that
might be perceived as affecting the objectivity of this review.
ACKNOWLEDGMENTS
The authors would like to thank Doug Massey and the anonymous reviewer for their helpful
comments on earlier drafts.
LITERATURE CITED
Adam EK, Heissel JA, Zeiders KH, Richeson JA, Ross EC, et al. 2015. Developmental histories of per-
ceived racial discrimination and diurnal cortisol profiles in adulthood: a 20-year prospective study.
Psychoneuroendocrinology 62:279–91
Albert MA, Slopen N, Williams DR. 2013. Cumulative psychological stress and cardiovascular disease risk: a
focused review with consideration of black-white disparities. Curr. Cardiovasc. Risk Rep. 7:318–25
Averhart CJ, Bigler RS. 1997. Shades of meaning: skin tone, racial attitudes, and constructive memory in
African American children. J. Exp. Child Psychol. 67:363–88
Barrett LF, Satpute AB. 2013. Large-scale brain networks in affective and social neuroscience: towards an
integrative functional architecture of the brain. Curr. Opin. Neurobiol. 23:361–72
Belsky DW, Moffitt TE, Caspi A. 2013. Genetics in population health science: strategies and opportunities.
Am. J. Public Health 103:S73–83
Bentley AR, Callier S, Rotimi CN. 2017. Diversity and inclusion in genomic research: why the uneven progress?
J. Community Genet. 8:255–66
Black PH. 2003. The inflammatory response is an integral part of the stress response: implications for
atherosclerosis, insulin resistance, type II diabetes and metabolic syndrome X. Brain Behav. Immun.
17:350–64
Blair C, Raver CC. 2012. Child development in the context of adversity: experiential canalization of brain and
behavior. Am. Psychol. 67:309–18
Bonilla-Silva E. 2015. The structure of racism in color-blind, “post-racial” America. Am. Behav. Sci. 59:1358–
76
Bonilla-Silva E. 2017. Racism Without Racists: Color-Blind Racism and the Persistence of Racial Inequality in America.
Lanham, MD: Rowman & Littlefield
334 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Bosch JA, De Geus EJC, Carroll D, Goedhart AD, Anane LA, et al. 2009. A general enhancement of autonomic
and cortisol responses during social evaluative threat. Psychosom. Med. 71(8):877–85
Boucsein W. 2012. Electrodermal Activity. New York: Springer
Branch CW, Newcombe N. 1986. Racial attitude development among young black children as a function of
parental attitudes: a longitudinal and cross-sectional study. Child Dev. 57:712–21
Brody GH, Miller GE, Yu T, Beach SRH, Chen E. 2016. Supportive family environments ameliorate the link
between racial discrimination and epigenetic aging. Psychol. Sci. 27:530–41
Brody GH, Yu T, Chen Y-F, Kogan SM, Evans GW, et al. 2013. Cumulative socioeconomic status risk,
allostatic load, and adjustment: a prospective latent profile analysis with contextual and genetic protective
factors. Dev. Psychol. 49(5):913–27
Brody GH, Yu T, Miller GE, Chen E. 2015. Discrimination, racial identity, and cytokine levels among
African-American adolescents. J. Adolesc. Health 56:496–501
Brondolo E, Rieppi R, Kelly KP, Gerin W. 2003. Perceived racism and blood pressure: a review of the literature
and conceptual and methodological critique. Ann. Behav. Med. 25:55–65
Brotman DJ, Golden SH, Wittstein IS. 2007. The cardiovascular toll of stress. Lancet 370:1089–100
Canli T, Wen R, Wang X, Mikhailik A, Yu L, et al. 2017. Differential transcriptome expression in human
nucleus accumbens as a function of loneliness. Mol. Psychiatry 22(7):1069–78
CDC (Cent. Dis. Control Prev.). 2005. Racial/ethnic and socioeconomic disparities in multiple risk factors
for heart disease and stroke–United States, 2003. Morb. Mortal. Wkly. Rep. 54:113–17
Chae DH, Nuru-Jeter AM, Adler NE, Brody GH, Lin J, et al. 2014. Discrimination, racial bias, and telomere
length in African-American men. Am. J. Prev. Med. 46:103–11
Champagne FA. 2010. Epigenetic influence of social experiences across the lifespan. Dev. Psychobiol. 52:299–
311
Champagne FA. 2018. Social and behavioral epigenetics: evolving perspectives on nature-nurture interplay,
plasticity, and inheritance. In The Palgrave Handbook of Biology and Society, ed. M Meloni, J Cromby,
D Fitzgerald, S Lloyd, pp. 227–50. New York: Springer
Cohen S, Janicki-Deverts D, Miller GE. 2007. Psychological stress and disease. JAMA 298:1685–87
Cole SW. 2013. Social regulation of human gene expression: mechanisms and implications for public health.
Am. J. Public Health 103:S84–92
Colen CG. 2011. Addressing racial disparities in health using life course perspectives. Du Bois Rev.: Soc. Sci.
Res. Race 8:79–94
Colen CG, Ramey DM, Cooksey EC, Williams DR. 2018. Racial disparities in health among nonpoor African
Americans and Hispanics: the role of acute and chronic discrimination. Soc. Sci. Med. 199:167–80
Collins JW Jr., David RJ. 2009. Racial disparity in low birth weight and infant mortality. Clin. Perinatol.
36:63–73
Collins R. 2014. Interaction Ritual Chains. Princeton, NJ: Princeton Univ. Press
Critchley HD, Mathias CJ, Josephs O, O’Doherty J, Zanini S, et al. 2003. Human cingulate cortex and
autonomic control: converging neuroimaging and clinical evidence. Brain 126:2139–52
David RJ, Collins JW. 1997. Differing birth weight among infants of U.S.-born blacks, African-born blacks,
and U.S.-born whites. N. Engl. J. Med. 337:1209–14
Dedovic K, Rexroth M, Wolff E, Duchesne A, Scherling C, et al. 2009. Neural correlates of processing stressful
information: an event-related fMRI study. Brain Res. 1293:49–60
Delgado MR, Olsson A, Phelps EA. 2006. Extending animal models of fear conditioning to humans. Biol.
Psychol. 73:39–48
Desantis AS, Adam EK, Doane LD, Mineka S, Zinbarg RE, Craske MG. 2007. Racial/ethnic differences in
cortisol diurnal rhythms in a community sample of adolescents. J. Adolesc. Health 41:3–13
Desantis AS, Adam EK, Hawkley LC, Kudielka BM, Cacioppo JT. 2015. Racial and ethnic differences in
diurnal cortisol rhythms: Are they consistent over time? Psychosom. Med. 77:6–15
Dickerson SS, Gable SL, Irwin MR, Aziz N, Kemeny M. 2009. Social-evaluative threat and proinflammatory
cytokine regulation: an experimental laboratory investigation. Psychol. Sci. 20:1237–44
Dow DM. 2016. The deadly challenges of raising African American boys. Gend. Soc. 30:161–88
Durkheim E. 1951. Suicide. New York: Free Press
www.annualreviews.org Discrimination and Health Inequities 335
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Duru OK, Harawa NT, Kermah D, Norris KC. 2012. Allostatic load burden and racial disparities in mortality.
J. Natl. Med. Assoc. 104:89–95
Duster T. 2015. A post-genomic surprise: the molecular reinscription of race in science, law and medicine.
Br. J. Sociol. 66:1–27
Eisenberger NI. 2012. The neural bases of social pain: evidence for shared representations with physical pain.
Psychosom. Med. 74:126–35
Eisenberger NI. 2013. Social ties and health: a social neuroscience perspective. Curr. Opin. Neurobiol. 23:407–
13
Eisenberger NI, Lieberman MD. 2004. Why rejection hurts: a common neural alarm system for physical and
social pain. Trends Cogn. Sci. 8:294–300
Everage NJ, Gjelsvik A, Mcgarvey ST, Linkletter CD, Loucks EB. 2012. Inverse associations between per-
ceived racism and coronary artery calcification. Ann. Epidemiol. 22:183–90
Falk EB, Hyde LW, Mitchell C, Faul J, Gonzalez R, et al. 2013. What is a representative brain? Neuroscience
meets population science. Proc. Natl. Acad. Sci. 110:17615–22
Ferreira D, Kostakos V, Dey AK. 2015. AWARE: mobile context instrumentation framework. Front. ICT 2:6
Fournet J, Barrat A. 2014. Contact patterns among high school students. PLOS ONE 9:e107878
Freese J. 2008. Genetics and the social science explanation of individual outcomes. Am. J. Sociol. 114:S1–35
Fuller-Rowell TE, Doan SN, Eccles JS. 2012. Differential effects of perceived discrimination on the diurnal
cortisol rhythm of African Americans and Whites. Psychoneuroendocrinology 37:107–18
Geronimus AT, Hicken M, Keene D, Bound J. 2006. “Weathering” and age patterns of allostatic load scores
among blacks and whites in the United States. Am. J. Public Health 96:826–33
Geronimus AT, Hicken MT, Pearson JA, Seashols SJ, Brown KL, Cruz TD. 2010. Do US black women
experience stress-related accelerated biological aging? A novel theory and first population-based test of
black-white differences in telomere length. Hum. Nat. 21:19–38
Glass TA, Mcatee MJ. 2006. Behavioral science at the crossroads in public health: extending horizons, envi-
sioning the future. Soc. Sci. Med. 62:1650–71
Godfrey KM, Barker DJP. 2001. Fetal programming and adult health. Public Health Nutr. 4:611–24
Goff PA, Jackson MC, Di Leone BA, Culotta CM, Ditomasso NA. 2014. The essence of innocence: conse-
quences of dehumanizing Black children. J. Pers. Soc. Psychol. 106:526–45
Goosby BJ, Bellatorre A, Walsemann KM, Cheadle JE. 2013. Adolescent loneliness and health in early adult-
hood. Sociol. Inq. 83:505–36
Goosby BJ, Cheadle JE, McDade T. 2016. Birth weight, early life course BMI, and body size change: chains
of risk to adult inflammation? Soc. Sci. Med. 148:102–9
Goosby BJ, Cheadle JE, Strong-Bak W, Roth T, Nelson TD. 2018. Perceived discrimination and adolescent
sleep in a community sample. Russell Sage J. Soc. Sci. 4(4):43–61
Goosby BJ, Heidbrink C. 2013. The transgenerational consequences of discrimination on African-American
health outcomes: discrimination and health. Sociol. Compass 7:630–43
Goosby BJ, Malone S, Richardson EA, Cheadle JE, Williams DT. 2015. Perceived discrimination and markers
of cardiovascular risk among low-income African American youth. Am. J. Hum. Biol. 27:546–52
Guo G, Fu Y, Lee H, Cai T, Mullan Harris K, Li Y. 2014. Genetic bio-ancestry and social construction of
racial classification in social surveys in the contemporary United States. Demography 51:141–72
H¨
ansel A, von K¨
anel R. 2008. The ventro-medial prefrontal cortex: a major link between the autonomic
nervous system, regulation of emotion, and stress reactivity? Biopsychosocial Med.2:21
Hill LK, Hoggard LS, Richmond AS, Gray DL, Williams DP, Thayer JF. 2017. Examining the association
between perceived discrimination and heart rate variability in African Americans. Cult. Divers. Ethn.
Minor. Psychol. 23:5–14
Hilmert CJ, Dominguez TP, Schetter CD, Srinivas SK, Glynn LM, et al. 2014. Lifetime racism and blood
pressure changes during pregnancy: implications for fetal growth. Health Psychol. 33:43–51
Hilmert CJ, Schetter CD, Dominguez TP, Abdou C, Hobel CJ, et al. 2008. Stress and blood pressure during
pregnancy: racial differences and associations with birthweight. Psychosom. Med. 70:57–64
Hope EC, Hoggard LS, Thomas A. 2015. Emerging into adulthood in the face of racial discrimination:
physiological, psychological, and sociopolitical consequences for African American youth. Transl. Issues
Psychol. Sci. 1:342–51
336 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Horvath S. 2013. DNA methylation age of human tissues and cell types. Genome Biol. 14(10):R115
House JS, Umberson D, Landis KR. 1988. Structures and processes of social support. Annu. Rev. Sociol.
14:293–318
Howard JT, Sparks PJ. 2015. The role of education in explaining racial/ethnic allostatic load differentials in
the United States. Biodemogr. Soc. Biol. 61:18–39
Hoyt LT, Craske MG, Mineka S, Adam EK. 2015. Positive and negative affect and arousal: cross-sectional
and longitudinal associations with adolescent cortisol diurnal rhythms. Psychosom. Med. 77:392–401
Jackson JS, Knight KM, Rafferty JA. 2010. Race and unhealthy behaviors: chronic stress, the HPA axis, and
physical and mental health disparities over the life course. Am. J. Public Health 100:933–39
Jolly S, Vittinghoff E, Chattopadhyay A, Bibbins-Domingo K. 2010. Higher cardiovascular disease prevalence
and mortality among younger blacks compared to whites. Am. J. Med. 123:811–18
Jones CW, Gambala C, Esteves KC, Wallace M, Schlesinger R, et al. 2017. Differences in placental telomere
length suggest a link between racial disparities in birth outcomes and cellular aging. Am. J. Obstet. Gynecol.
216:294.e1–8
Kalkhoff W, Serpe RT, Pollock J, Miller B, Pfeiffer M. 2016. Neural processing of identity-relevant feedback.
In New Directions in Identity Theory and Research, ed. JE Stets, RT Serpe, pp. 195–238. New York: Oxford
Univ. Press
Kiat JE, Cheadle JE. 2017. The impact of individuation on the bases of human empathic responding.
NeuroImage 155:312–21
Kiat JE, Straley E, Cheadle JE. 2016. Escalating risk and the moderating effect of resistance to peer influence
on the P200 and feedback-related negativity. Soc. Cogn. Affect. Neurosci. 11:377–86
Kiat JE, Straley E, Cheadle JE. 2017. Why won’t they sit with me? An exploratory investigation of stereotyped
cues, social exclusion, and the P3b. Soc. Neurosci. 12:612–25
Kuzawa CW, Sweet E. 2009. Epigenetics and the embodiment of race: developmental origins of US racial
disparities in cardiovascular health. Am. J. Hum. Biol. 21:2–15
Lee DB, Kim ES, Neblett EW. 2017. The link between discrimination and telomere length in African
American adults. Health Psychol. 36:458–67
Levine ME, Crimmins EM. 2014. Evidence of accelerated aging among African Americans and its implications
for mortality. Soc. Sci. Med. 118:27–32
Lewis TT, Aiello AE, Leurgans S, Kelly J, Barnes LL. 2010. Self-reported experiences of everyday discrimina-
tion are associated with elevated C-reactive protein levels in older African-American adults. Brain Behav.
Immun. 24:438–43
Lewis TT, Barnes LL, Bienias JL, Lackland DT, Evans DA, Mendes De Leon CF. 2009. Perceived discrim-
ination and blood pressure in older African American and white adults. J. Gerontol. Ser. A: Biol. Sci. Med.
Sci. 64A:1002–8
Lewis TT, Cogburn CD, Williams DR. 2015. Self-reported experiences of discrimination and health: scientific
advances, ongoing controversies, and emerging issues. Annu. Rev. Clin. Psychol. 11:407–40
Lewis TT, Kravitz HM, Janssen I, Powell LH. 2011. Self-reported experiences of discrimination and visceral
fat in middle-aged African-American and Caucasian women. Am. J. Epidemiol. 173:1223–31
Lu G, Yang F, Taylor JA, Stein JF. 2009. A comparison of photoplethysmography and ECG recording to
analyse heart rate variability in healthy subjects. J. Med. Eng. Technol. 33:634–41
Manuck SB, McCaffery JM. 2014. Gene-environment interaction. Annu. Rev. Psychol. 65:41–70
M´
arquez-Luna C, Loh PR, Price AL. 2017. Multiethnic polygenic risk scores improve risk prediction in
diverse populations. Genet. Epidemiol. 41:811–23
Martin CG, Bruce J, Fisher PA. 2012. Racial and ethnic differences in diurnal cortisol rhythms in preadoles-
cents: the role of parental psychosocial risk and monitoring. Horm. Behav. 61:661–68
Massey DS. 2002. A brief history of human society: the origin and role of emotion in social life. Am. Sociol.
Rev. 67:1–29
Massey DS, Denton NA. 1993. American Apartheid: Segregation and the Making of the Underclass. Cambridge,
MA: Harvard Univ. Press
Masten CL, Eisenberger NI, Borofsky LA, Pfeifer JH, McNealy K, et al. 2009. Neural correlates of social
exclusion during adolescence: understanding the distress of peer rejection. Soc. Cogn. Affect. Neurosci.
4:143–57
www.annualreviews.org Discrimination and Health Inequities 337
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Masten CL, Telzer EH, Eisenberger NI. 2010. An fMRI investigation of attributing negative social treatment
to racial discrimination. J. Cogn. Neurosci. 23:1042–51
McEwen BS. 1998. Stress, adaptation, and disease: allostasis and allostatic load. Ann. N. Y. Acad. Sci. 840:33–44
McEwen BS. 2003. Interacting mediators of allostasis and allostatic load: towards an understanding of resilience
in aging. Metabolism 52:10–16
McEwen BS, Gianaros PJ. 2010. Central role of the brain in stress and adaptation: links to socioeconomic
status, health, and disease. Ann. N. Y. Acad. Sci. 1186:190–222
Melamed D, Kalkhoff W, Han S, Li X. 2017. The neural bases of status-based influence. Socius 3:1–10
Miller GE, Chen E. 2010. Harsh family climate in early life presages the emergence of a proinflammatory
phenotype in adolescence. Psychol. Sci. 21:848–56
Mitchell C. 2018. The genetics of human behavior: a hopeless opus? In The Oxford Handbook of Evolution,
Biology, and Society, ed. RL Hopcraft, pp. 221–40. New York: Oxford Univ. Press
Mitchell C, McLanahan S, Brooks-Gunn J, Garfinkel I, Hobcraft J, Notterman D. 2013. Genetic differential
sensitivity to social environments: implications for research. Am. J. Public Health 103:S102–10
Mitchell C, McLanahan S, Schneper L, Garfinkel I, Brooks-Gunn J, Notterman D. 2017. Father loss and
child telomere length. Pediatrics 140(2):e20163245
Mitchell C, Schneper LM, Notterman DA. 2015. DNA methylation, early life environment, and health
outcomes. Pediatr. Res. 79:212–19
Moore SR, Depue RA. 2016. Neurobehavioral foundation of environmental reactivity. Psychol. Bull. 142:107–
64
Morris EW, Perry BL. 2016. The punishment gap: school suspension and racial disparities in achievement.
Soc. Probl. 63:68–86
Murry VM, Brown PA, Brody GH, Cutrona CE, Simons RL. 2001. Racial discrimination as a moderator of
the links among stress, maternal psychological functioning, and family relationships. J. Marriage Fam.
63:915–26
Neblett EW, Carter SE. 2012. The protective role of racial identity and Afrocentric worldview in the associ-
ation between racial discrimination and blood pressure. Psychosom. Med. 74:509–16
Need AC, Goldstein DB. 2009. Next generation disparities in human genomics: concerns and remedies. Trends
Genet. 25:489–94
Nobili V, Alisi A, Panera N, Agostoni C. 2008. Low birth weight and catch-up-growth associated with
metabolic syndrome: a ten year systematic review. Pediatr. Endocrinol. Rev. 6:241–47
Notterman DA, Mitchell C. 2015. Epigenetics and understanding the impact of social determinants of health.
Pediatr. Clin. N. Am. 62:1227–40
NPR, Robert Wood Johnson Found., Harvard T.H. Chan Sch. Public Health. 2017. Discrimination in America:
experiences and views of African Americans.Rep.,Oct.https://www.npr.org/assets/img/2017/10/23/
discriminationpoll-african-americans.pdf
Paradies Y. 2006. A systematic review of empirical research on self-reported racism and health. Int. J. Epidemiol.
35:888–901
Paradies Y, Ben J, Denson N, Elias A, Priest N, et al. 2015. Racism as a determinant of health: a systematic
review and meta-analysis. PLOS ONE 10:e0138511
Pascoe EA, Smart Richman L. 2009. Perceived discrimination and health: a meta-analytic review. Psychol. Bull.
135:531–54
Pearlin LI. 1999. The stress process revisited. In Handbook of the Sociology of Mental Health, ed. CS Aneshensel,
JC Phelan, pp. 395–415. New York: Springer
Pearlin LI. 2010. The life course and the stress process: some conceptual comparisons. J. Gerontol. Ser. B
Psychol. Sci. Soc. Sci. 65B:207–15
Perry BL, Morris EW. 2014. Suspending progress: collateral consequences of exclusionary punishment in
public schools. Am. Sociol. Rev. 79(6):1067–87
Pescosolido BA, Martin JK. 2015. The stigma complex. Annu. Rev. Sociol. 41:87–116
Phelan JC, Link BG. 2015. Is racism a fundamental cause of inequalities in health? Annu. Rev. Sociol. 41:311–30
Phelps EA, Delgado MR, Nearing KI, Ledoux JE. 2004. Extinction learning in humans: role of the amygdala
and vmPFC. Neuron 43:897–905
338 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Pluess M. 2015. Individual differences in environmental sensitivity. Child Dev. Perspect. 9:138–43
Popejoy AB, Fullerton SM. 2016. Genomics is failing on diversity. Nature 538:161–64
Preller KH, Pokorny T, Hock A, Kraehenmann R, St¨
ampfli P, et al. 2016. Effects of serotonin 2A/1A receptor
stimulation on social exclusion processing. Proc. Natl. Acad. Sci. 113:5119–24
Priest N, Paradies Y, Trenerry B, Truong M, Karlsen S, Kelly Y. 2013. A systematic review of studies examining
the relationship between reported racism and health and wellbeing for children and young people. Soc.
Sci. Med. 95:115–27
Priest N, Williams DR. 2018. Racial discrimination and disparities in health. In The Oxford Handbook of Stigma,
Discrimination, and Health, ed. B Major, JF Dovidio, BG Link, pp. 163–82. New York: Oxford Univ. Press
Reskin B. 2012. The race discrimination system. Annu. Rev. Sociol. 38:17–35
Richman LS, Pascoe EA, Lattaner M. 2018. Interpersonal discrimination and physical health. In Oxford
Handbook of Stigma, Discrimination, and Health, ed. B Major, JF Dovidio, BG Link, pp. 203–18. New
York: Oxford Univ. Press
Saban KL, Mathews HL, Devon HA, Janusek LW. 2014. Epigenetics and social context: implications for
disparity in cardiovascular disease. Aging Dis. 5:346–55
Sanders-Phillips K. 2009. Racial discrimination: a continuum of violence exposure for children of color. Clin.
Child Fam. Psychol. Rev. 12:174–95
Sanders-Phillips K, Settles-Reaves B, Walker D, Brownlow J. 2009. Social inequality and racial discrimination:
risk factors for health disparities in children of color. Pediatrics 124:S176–86
Sapolsky RM. 2004. Why Zebras Don’t Get Ulcers: The Acclaimed Guide to Stress, Stress-Related Diseases, and
Coping. New York: Holt. 3rd ed.
Schempf AH, Branum AM, Lukacs SL, Schoendorf KC. 2007. The contribution of preterm birth to the
Black-White infant mortality gap, 1990 and 2000. Am. J. Public Health 97:1255–60
Schiller D, Delgado MR. 2010. Overlapping neural systems mediating extinction, reversal and regulation of
fear. Trends Cogn. Sci. 14:268–76
Seeman T, Epel E, Gruenewald T, Karlamangla A, McEwen BS. 2010. Socio-economic differentials in pe-
ripheral biology: cumulative allostatic load. Ann. N. Y. Acad. Sci. 1186:223–39
Shalev I, Entringer S, Wadhwa PD, Wolkowitz OM, Puterman E, Lin J, Epel ES. 2013. Stress and telomere
biology: a lifespan perspective. Psychoneuroendocrinology 38:1835–42
Shapiro GD, Fraser WD, Frasch MG, S´
eguin JR. 2013. Psychosocial stress in pregnancy and preterm birth:
associations and mechanisms. J. Perinat. Med. 41:631–45
Singhal A, Wells J, Cole TJ, Fewtrell M, Lucas A. 2003. Programming of lean body mass: a link between birth
weight, obesity, and cardiovascular disease? Am. J. Clin. Nutr. 77:726–30
Slaughter-Acey JC, Sealy-Jefferson S, Helmkamp L, Caldwell CH, Osypuk TL, et al. 2016. Racism in the form
of micro aggressions and the risk of preterm birth among black women. Ann. Epidemiol. 26(1):7–13.e1
Slavich GM, Cole SW. 2013. The emerging field of human social genomics. Clin. Psychol. Sci. 1:331–48
Sterling P. 2012. Allostasis: a model of predictive regulation. Physiol. Behav. 106:5–15
Sue DW, Capodilupo CM, Torino GC, Bucceri JM, Holder AMB, et al. 2007. Racial microaggressions in
everyday life: implications for clinical practice. Am. Psychol. 62:271–86
Sullivan S. 2013. Inheriting racist disparities in health: epigenetics and the transgenerational effects of white
racism. Crit. Philos. Race 1:190–218
Swan M. 2013. The quantified self: fundamental disruption in big data science and biological discovery. Big
Data 1:85–99
Szanton SL, Rifkind JM, Mohanty JG, Miller ER, Thorpe RJ, et al. 2012. Racial discrimination is associated
with a measure of red blood cell oxidative stress: a potential pathway for racial health disparities. Int. J.
Behav. Med. 19:489–95
Thayer ZM, Kuzawa CW. 2015. Ethnic discrimination predicts poor self-rated health and cortisol in preg-
nancy: insights from New Zealand. Soc. Sci. Med. 128:36–42
Trull TJ, Ebner-Priemer U. 2014. The role of ambulatory assessment in psychological science. Curr. Dir.
Psychol. Sci. 23:466–70
Turner JH. 2007. Human Emotions: A Sociological Theory. New York: Routledge
Turner RJ. 2013. Understanding health disparities: the relevance of the stress process model. Soc. Ment. Health
3:170–86
www.annualreviews.org Discrimination and Health Inequities 339
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44CH16_Goosby ARI 23 June 2018 9:11
Umberson D, Olson JS, Crosnoe R, Liu H, Pudrovska T, Donnelly R. 2017. Death of family members as an
overlooked source of racial disadvantage in the United States. Proc. Natl. Acad. Sci. 114:915–20
Wadhwa PD. 2005. Psychoneuroendocrine processes in human pregnancy influence fetal development and
health. Psychoneuroendocrinology 30:724–43
Wager TD, Van Ast VA, Hughes BL, Davidson ML, Lindquist MA, Ochsner KN. 2009. Brain mediators of
cardiovascular responses to social threat. Part II: prefrontal-subcortical pathways and relationship with
anxiety. NeuroImage 47:836–51
Wang J, Rao H, Wetmore GS, Furlan PM, Korczykowski M, et al. 2005. Prefusion functional MRI reveals
cerebral blood flow pattern under psychological stress. Proc. Natl. Acad. Sci. 102:17804–9
Ware EB, Schmitz LL, Faul JD, Gard A, Mitchell C, et al. 2017. Heterogeneity in polygenic scores for
common human traits. bioRxiv 106062. https://doi.org/10.1101/106062
Wickrama KAS, O’Neal KW, Holmes C. 2017. Towards a heuristic research model linking early socioeco-
nomic adversity and youth cumulative disease risk: an integrative review. Adolesc. Res. Rev. 2(3):161–79
Williams DP, Pandya KD, Hill LK, Kemp AH, Way BM, et al. 2017. Rumination moderates the association
between resting high-frequency heart rate variability and perceived ethnic discrimination. J. Psychophysiol.
https://doi.org/10.1027/0269-8803/a000201
Williams DR, Mohammed SA. 2009. Discrimination and racial disparities in health: evidence and needed
research. J. Behav. Med. 32:20–47
Zhang Q, Wang Y, Huang ES. 2009. Changes in racial/ethnic disparities in the prevalence of type 2 diabetes
by obesity level among US adults. Ethn. Health 14(5):439–57
Zuberi T, Patterson EJ, Steward QT. 2015. Race, methodology, and social construction in the genomic era.
Ann. Am. Acad. Political Soc. Sci. 661:109–27
340 Goosby ·Cheadle ·Mitchell
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
ANNUAL REVIEWS
Connect With Our Experts
New From Annual Reviews:
Annual Review of Criminology
criminol.annualreviews.org • Volume 1 • January 2018
Co-Editors: Joan Petersilia, Stanford University and Robert J. Sampson, Harvard University
The Annual Review of Criminology provides comprehensive reviews of signicant developments in the multidisciplinary eld of
criminology, dened as the study of both the nature of criminal behavior and societal reactions to crime. International in scope, the
journal examines variations in crime and punishment across time (e.g., why crime increases or decreases) and among individuals,
communities, and societies (e.g., why certain individuals, groups, or nations are more likely than others to have high crime or
victimization rates). The societal effects of crime and crime control, and why certain individuals or groups are more likely to be
arrested, convicted, and sentenced to prison, will also be covered via topics relating to criminal justice agencies (e.g., police, courts,
and corrections) and criminal law.
TABLE OF CONTENTS FOR VOLUME 1:
THE DISCIPLINE
Reflections on Disciplines and Fields, Problems, Policies, and Life,
James F. Short
Replication in Criminology and the Social Sciences,
William Alex Pridemore, Matthew C. Makel, Jonathan A. Plucker
CRIME AND VIOLENCE
Bringing Crime Trends Back into Criminology: A Critical Assessment
of the Literature and a Blueprint for Future Inquiry, Eric P. Baumer,
María B. Vélez, Richard Rosenfeld
Immigration and Crime: Assessing a Contentious Issue,
Graham C. Ousey, Charis E. Kubrin
The Long Reach of Violence: A Broader Perspective on Data, Theory,
and Evidence on the Prevalence and Consequences of Exposure to
Violence, Patrick Sharkey
Victimization Trends and Correlates: Macro‑ and Microinfluences
and New Directions for Research, Janet L. Lauritsen, Maribeth L. Rezey
Situational Opportunity Theories of Crime, Pamela Wilcox,
Francis T. Cullen
Schools and Crime, Paul J. Hirschfield
PUNISHMENT AND POLICY
Collateral Consequences of Punishment: A Critical Review and Path
Forward, David S. Kirk, Sara Wakefield
Understanding the Determinants of Penal Policy: Crime, Culture,
and Comparative Political Economy, Nicola Lacey, David Soskice,
David Hope
Varieties of Mass Incarceration: What We Learn from State Histories,
Michael C. Campbell
The Politics, Promise, and Peril of Criminal Justice Reform in the
Context of Mass Incarceration, Katherine Beckett
THE PRISON
Inmate Society in the Era of Mass Incarceration, Derek A. Kreager,
Candace Kruttschnitt
Restricting the Use of Solitary Confinement, Craig Haney
DEVELOPMENTAL AND LIFE‑COURSE CRIMINOLOGY
Desistance from Offending in the Twenty‑First Century,
Bianca E. Bersani, Elaine Eggleston Doherty
On the Measurement and Identification of Turning Points
in Criminology, Holly Nguyen, Thomas A. Loughran
ECONOMICS OF CRIME
Gun Markets, Philip J. Cook
Offender Decision‑Making in Criminology: Contributions from
Behavioral Economics, Greg Pogarsky, Sean Patrick Roche,
Justin T. Pickett
POLICE AND COURTS
Policing in the Era of Big Data, Greg Ridgeway
Reducing Fatal Police Shootings as System Crashes: Research, Theory,
and Practice, Lawrence W. Sherman
The Problems With Prosecutors, David Alan Sklansky
Monetary Sanctions: Legal Financial Obligations in US Systems of
Justice, Karin D. Martin, Bryan L. Sykes, Sarah Shannon, Frank Edwards,
Alexes Harris
Forensic DNA Typing, Erin Murphy
ANNUAL REVIEWS | CONNECT WITH OUR EXPERTS
650.493.4400/800.523.8635 (us/can)
www.annualreviews.org | service@annualreviews.org
ONLINE NOW!
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44-FrontMatter ARI 22 June 2018 17:46
Annual Review
of Sociology
Volume 44, 2018
Contents
Prefatory Article
On Becoming a Mathematical Demographer—And the Career
in Problem-Focused Inquiry that Followed
Jane Menken pppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp1
Theory and Methods
Historical Census Record Linkage
Steven Ruggles, Catherine A. Fitch, and Evan Roberts ppppppppppppppppppppppppppppppppppppp19
Interpreting and Understanding Logits, Probits, and Other Nonlinear
Probability Models
Richard Breen, Kristian Bernt Karlson, and Anders Holm ppppppppppppppppppppppppppppppppp39
Social Processes
Consumer Credit in Comparative Perspective
Akos Rona-Tas and Alya Guseva ppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp55
Control over Time: Employers, Workers, and Families Shaping Work
Schedules
Naomi Gerstel and Dan Clawson ppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp77
Silence, Power, and Inequality: An Intersectional Approach to Sexual
Violence
Elizabeth A. Armstrong, Miriam Gleckman-Krut, and Lanora Johnson pppppppppppppppppp99
Formal Organizations
Globalization and Business Regulation
Marie-Laure Djelic and Sigrid Quack ppppppppppppppppppppppppppppppppppppppppppppppppppppp123
Transnational Corporations and Global Governance
Tim Bartley pppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp145
Political and Economic Sociology
Boundary-Spanning in Social Movements: Antecedents and Outcomes
Dan Wang, Alessandro Piazza, and Sarah A. Soule pppppppppppppppppppppppppppppppppppppp167
Globalization and Social Movements
Paul Almeida and Chris Chase-Dunn ppppppppppppppppppppppppppppppppppppppppppppppppppppp189
v
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44-FrontMatter ARI 22 June 2018 17:46
Political (Mis)behavior: Attention and Lacunae in the Study of
Latino Politics
Michael Jones-Correa, Hajer Al-Faham, and David Cortez ppppppppppppppppppppppppppppp213
Differentiation and Stratification
Credit, Debt, and Inequality
Rachel E. Dwyer ppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp237
Environmental Inequality: The Social Causes and Consequences
of Lead Exposure
Christopher Muller, Robert J. Sampson, and Alix S. Winter ppppppppppppppppppppppppppppp263
Occupations, Organizations, and Intragenerational Career Mobility
Arne L. Kalleberg and Ted Mouw pppppppppppppppppppppppppppppppppppppppppppppppppppppppppp283
Poverty in America: New Directions and Debates
Matthew Desmond and Bruce Western pppppppppppppppppppppppppppppppppppppppppppppppppppp305
Stress-Related Biosocial Mechanisms of Discrimination and African
American Health Inequities
Bridget J. Goosby, Jacob E. Cheadle, and Colter Mitchell ppppppppppppppppppppppppppppppppp319
Individual and Society
The Reversal of the Gender Gap in Education and its Consequences
for Family Life
Jan Van Bavel, Christine R. Schwartz, and Albert Esteve ppppppppppppppppppppppppppppppp341
Demography
Integrating Biomarkers in Social Stratification and Health Research
Kathleen Mullan Harris and Kristen M. Schorpp ppppppppppppppppppppppppppppppppppppppppp361
The Sociology of Refugee Migration
David Scott FitzGerald and Rawan Arar ppppppppppppppppppppppppppppppppppppppppppppppppp387
Policy
Modern Trafficking, Slavery, and Other Forms of Servitude
Orlando Patterson and Xiaolin Zhuo ppppppppppppppppppppppppppppppppppppppppppppppppppppppp407
Redistributional Policy in Rich Countries: Institutions and Impacts
in Nonelderly Households
Janet C. Gornick and Timothy M. Smeeding ppppppppppppppppppppppppppppppppppppppppppppp441
Sociology and World Regions
Families in Southeast and South Asia
Wei-Jun Jean Yeung, Sonalde Desai, and Gavin W. Jones pppppppppppppppppppppppppppppp469
vi Contents
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
SO44-FrontMatter ARI 22 June 2018 17:46
From Chicago to China and India: Studying the City in the
Twenty-First Century
Xuefei Ren ppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp497
Globalization of Quantitative Policing: Between Management and
Statactivism
Emmanuel Didier ppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp515
Latin America, a Continent in Movement but Where To? A Review of
Social Movements’ Studies in the Region
Mar´ıa Incl ´an ppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp535
Indexes
Cumulative Index of Contributing Authors, Volumes 35–44 ppppppppppppppppppppppppppp553
Cumulative Index of Article Titles, Volumes 35–44 ppppppppppppppppppppppppppppppppppppp557
Errata
An online log of corrections to Annual Review of Sociology articles may be found at
http://www.annualreviews.org/errata/soc
Contents vii
Annu. Rev. Sociol. 2018.44:319-340. Downloaded from www.annualreviews.org
Access provided by University of Nebraska - Lincoln on 07/31/18. For personal use only.
... Researchers have examined the stress-related biosocial mechanisms of discrimination on Black Americans and health outcomes. It has been suggested that the effect of interpersonal racism leads to changes in vigilance and behavior and is closely linked to perceived discrimination, which the brain (hypothalamus and pituitary, with the adrenal glands affected) reacts to as a stressor that must be quickly responded to physiologically [8]. With this chronic, heightened state of vigilance, the sympathetic nervous system becomes aroused, and the hypothalamus pituitary adrenal (HPA) axis becomes dysregulated [9]. ...
... Stress also impacts autonomic processes, leading to hypertension and increased abdominal obesity; these processes are both interconnected and bidirectionally related [9]. The body becomes more susceptible to diseases like diabetes as a result of possible changes in epigenetic processes and gene expression [8]. ...
Article
Full-text available
Purpose of Review This literature review highlights the behavioral and biological mechanisms that link racial discrimination to type 2 diabetes (T2D) risk, self-management, and related complications in the Black population in the United States. Next steps are discussed and include recommendations for disease mitigation. Recent Findings Black Americans are exposed to high levels of stress, with many stressors rooted in racial discrimination, a psychosocial factor that inhibits positive behavior change and disrupts bodily systems and functioning. T2D is a largely preventable disease, yet Black Americans experience known structural and systemic barriers (i.e., structural racism) that profoundly impact diabetes onset and progression. While causal mechanisms that link racial discrimination and T2D have become a more recent focus of study, a dearth of research on racial discrimination-related stress, and the role it plays in the onset and self-management of T2D, remains. Summary Identifying the structural and contextual factors, specifically racial discrimination, that influence diabetes risk and self-management among Black adults is important in closing the gap in health disparities. Findings on coping strategies adopted across the African diaspora are also warranted as policy makers, researchers, and clinicians work together to create an actionable path forward.
... Exposure to discrimination has been linked to a wide variety of negative health outcomes, including heart disease, diabetes, and hypertension [1][2][3][4][5]. Evidence suggests that unfair treatment affects health through multiple mechanisms. ...
Article
Full-text available
Perceived discrimination, recognized as a chronic psychosocial stressor, has adverse consequences on health. DNA methylation (DNAm) may be a potential mechanism by which stressors get embedded into the human body at the molecular level and subsequently affect health outcomes. However, relatively little is known about the effects of perceived discrimination on DNAm. To identify the DNAm sites across the epigenome that are associated with discrimination, we conducted epigenome-wide association analyses (EWAS) of three discrimination measures (everyday discrimination, race-related major discrimination, and non-race-related major discrimination) in 1,151 participants, including 565 non-Hispanic White, 221 African American, and 365 Hispanic individuals, from the Multi-Ethnic Study of Atherosclerosis (MESA). We conducted both race/ethnicity-stratified analyses as well as trans-ancestry meta-analyses. At false discovery rate of 10%, 7 CpGs and 4 differentially methylated regions (DMRs) containing 11 CpGs were associated with perceived discrimination exposures in at least one racial/ethnic group or in meta-analysis. Identified CpGs and/or nearby genes have been implicated in cellular development pathways, transcription factor binding, cancer and multiple autoimmune and/or inflammatory diseases. Of the identified CpGs (7 individual CpGs and 11 within DMRs), two CpGs and one CpG within a DMR were associated with expression of cis genes NDUFS5, AK1RIN1, NCF4 and ADSSL1. Our study demonstrated the potential influence of discrimination on DNAm and subsequent gene expression.
... Complementariamente, cuando una persona del grupo "minoritario" o "débil" participa en un escenario donde hay prejuicios sobre su comportamiento, se puede presentar un trato injusto por el mero hecho de pertenecer a ese grupo, sin tener en consideración a la persona. En palabras de Goosby et al. (2018) la discriminación afecta perjudicialmente a cierto tipo de personas, de manera completamente injusta. ...
Article
Full-text available
Desde el inicio de la profesión contable, las mujeres han tenido dificultades en la integración a esta y en ser consideradas profesionales cualificadas para enfrentar cualquier reto en los negocios, lo cual evoca los límites establecidos por los estereotipos de género que aun persisten en la sociedad. A pesar de la femilización que ocurrió en la carrera de Contador Público y Auditor en pleno siglo XXI, se ha identificado que los altos cargos de las empresas siguen estando fuera de alcance para las mujeres. Este ejercicio de investigación revisó las memorias anuales y estados financieros de las empresas del IPSA entre 2015-2022 con el objetivo de identificar si las mujeres están participando de estos escenarios profesionales o siguen siendo excluidas. Se encontró que, si bien hay pocas mujeres auditando dichas empresas, estas se ubican en la industria retail, segmentando su participación dentro del mercado de servicios profesionales de contabilidad y auditoría en Chile.
... Davon zeugen etwa Gen-Umwelt-Interaktionen, soziale Einflüsse auf hormonelle Prozesse, die wiederum soziales Verhalten modulieren und soziale Prozesse, die "unter die Haut gehen", also vielfältige Spuren im Körper hinterlassen und Unterschiede in der Gesundheit und Lebenserwartung zwischen sozialen Gruppen im Aggregat erklären (z. B. Goosby et al., 2018;Guo, 2006;Taylor, 2014; siehe auch den Beitrag von Diewald et al. in diesem Handbuch). ...
... For instance, studies have utilized self-reported measures to examine the relationship between discrimination and the mental and physical health of victims (e.g. Goosby, Cheadle and Mitchell, 2018;Williams et al., 2019), to identify groups most susceptible to discrimination (e.g. Tuppat and Gerhards, 2021;Schaeffer and Kas, 2024), and to evaluate the effectiveness of anti-discrimination policies (e.g. ...
Article
Discrimination is one of the largest barriers that immigrants and racial/ethnic minorities face in contemporary society. Social scientists have developed and applied field experimental methods to detect the existence and prevalence of discrimination in various domains. In addition, researchers have utilized questionnaires to directly ask discrimination victims about their experiences and the frequency of discrimination they encounter. However, self-reports of discrimination may be biased due to judgment errors in attributing mistreatment to discrimination and intentional overreporting (vigilance) or underreporting (minimization) of discrimination. In this study, we propose a two-stage model that distinguishes between these judgment and reporting biases. We argue that vigilance and minimization stem from sensitivity concerns. We conducted a list experiment with African American respondents who asked about their experiences of employment and everyday discrimination. Comparing the list experiment and direct question estimates, we find no evidence of systematic underreporting or overreporting of employment discrimination. For everyday discrimination, we find overreporting concentrated among ideologically liberal African Americans. These results provide new insights into biases in self-reported discrimination and suggest researchers should be attentive to the conditions under which these biases arise.
Article
Background Racial health disparities are well documented and pervasive across the United States. Evidence suggests there is a “rural mortality penalty” whereby rural residents experience poorer health outcomes than their urban counterparts. However, whether this penalty is uniform across demographic groups and U.S. regions is unknown. Objective To assess how rural–urban differences in mortality differ by race (Black vs. White), U.S. region, poverty status, and how rural–urban status is measured. Methods Age‐standardized mortality rates (ASMRs)/100,000 by U.S. county (2015–2019) were obtained by race (Black/White) from the CDC Wonder National Vital Statistics System (2015–2019) and were merged with county‐level social determinants from the US Census Bureau and County Health Rankings. Multivariable generalized linear models assessed the associations between rurality (index of relative rurality [IRR] decile, rural–urban continuum codes, and population density) and race‐specific ASMR, overall, and by Census region and poverty level. Results Overall, average ASMR was significantly higher in rural areas than urban areas for both Black (rural ASMR = 949.1 per 100,000 vs. urban ASMR = 857.7 per 100,000) and White (rural ASMR = 903.0 per 100,000 vs. urban ASMR = 791.6 per 100,000) populations. The Black‐White difference was substantially higher ( p < 0.001) in urban than in rural counties (65.1 per 100,000 vs. 46.1 per 100,000). Black–White differences and patterns in ASMR varied notably by poverty status and U.S. region. Conclusion Policies and interventions designed to reduce racial health disparities should consider and address key contextual factors associated with geographic location, including rural–urban status and socioeconomic status.
Book
This book offers a comprehensive examination of trust and its relationship with mental illness and wellbeing. Engaging with a broad range of mental health research, theory, and practice through various transdisciplinary theoretical models of trust, this book highlights the social and family contexts surrounding the making and breaking of trust and mental health. It examines various sociological conceptual and theoretical frameworks of risk and trust while also engaging with evolutionary perspectives on the human need for cooperation and trust. The author describes how, in a world of constant connectivity, the drawing of boundaries assigns some people as strangers, using stigma as a form of power. The book concludes by considering the future of mental health and where trust-building may be possible. Each chapter is interspersed with observations and insights from the author’s personal research covering many populations, communities, and issues over several decades. Drawing on a wide range of interdisciplinary literature, the book will be of interest to mental health practitioners, researchers, and scholars interested in the psychosocial aspects of mental illness and stigma. ‘Professor Leavey’s book throws light on a far too long neglected factor with a powerful impact on structures of society and the management of problems ranging from care for people with diseases to the continuation of war or the maintenance of peace’. – Professor Norman Sartorius (MD, PhD, FRCPsych) is a leading international expert in psychiatry. He has been the President of the World Psychiatric Association and of the European Psychiatric Association, and Director of the Mental health Division of the World Health Organization ‘This remarkable book takes the concepts of trust and mental health and moves them around each other as if they were reciprocal moons of our planetary existence. Trust is a concept perfectly central to individuals, families, communities and society. For almost a thousand years the idea of ‘trust’ has grown from the ancient roots of meaning that include: integrity, alliance, faithful, steadfast, shelter, safety, hope, and consolation. This book is a fascinating tour-de-force which gazes at trust and hope, and their inversions, from multiple perspectives, and asks how we can strengthen trust and hope and mental health in the future’. – Sir Graham Thornicroft is Emeritus Professor of Community Psychiatry at King’s College London. He was Knighted in 2017 for services to mental health; Graham has authored over 30 books and written over 670 peer-reviewed scientific papers, shaping global mental health policies.
Book
This book delves into critical factors for women’s success in academia, offering strategies, and counsel anchored in a robust theoretical framework. Hozien’s thoughtful, interdisciplinary approach to women leadership culminates in a comprehensive understanding of the critical factors that can influence career success in higher education. Grounded by an intersectional lens and data-driven analysis, the book’s focus on minority female populations informs the inherent challenges and shifting representation in educational leadership. Each chapter integrates real-world examples, case studies, and immediately actionable advice to advocate for and support current and aspiring female leaders, administrators, and policymakers. A masterful blend of theory and practice, this book’s timely insights empower women to take charge of their leadership journeys with the intention of fostering a generation of confident and capable academic leaders who can drive positive transformation.
Chapter
Place performs a powerful role in shaping experiences of aging. Aims of the age-friendly movement have changed dramatically since the inception of the Global Age-friendly Cities Project in 2006, and the aging demographic has simultaneously become more diverse and complex. Growing economic disparities, climate crises, and the global pandemic have amplified challenges to aging well across the lifespan. This chapter provides an overview of the age-friendly movement both internationally and within the United States. It examines how the concept of age-friendliness has grown into a framework that guides placemaking in a variety of settings and calls attention to contemporary criticism of the movement related to diversity, equity, and inclusion. The chapter examines the intersectional nature of the social, economic, and environmental challenges tied to aging and considers age-friendliness as an ecological framework with a unique capacity to address historic barriers in new, significant ways. The chapter locates the age-friendly movement in the context of the widening of socioeconomic and health disparities and presents a case of need to refocus the lenses of equity and participation in order to expand health and social justice in the design of places.
Article
Full-text available
Sleep is a key restorative process, and poor sleep is linked to disease and mortality risk. The adolescent population requires more sleep on average than adults but are most likely to be sleep deprived. Adolescence is a time of rapid social upheaval and sensitivity to social stressors including discrimination. This study uses two weeks of daily e-diary measures documenting discrimination exposure and concurrent objective sleep indicators measured using actigraphy. We assess associations between daily discrimination and contemporaneous sleep with a diverse sample of adolescents. This novel study shows youth with higher average discrimination reports have worse average sleep relative to their counterparts. Interestingly, youth reporting daily discrimination have better sleep the day of the report than youth who do not.
Article
Full-text available
Conducting genomic research in diverse populations has led to numerous advances in our understanding of human history, biology, and health disparities, in addition to discoveries of vital clinical significance. Conducting genomic research in diverse populations is also important in ensuring that the genomic revolution does not exacerbate health disparities by facilitating discoveries that will disproportionately benefit well-represented populations. Despite the general agreement on the need for genomic research in diverse populations in terms of equity and scientific progress, genomic research remains largely focused on populations of European descent. In this article, we describe the rationale for conducting genomic research in diverse populations by reviewing examples of advances facilitated by their inclusion. We also explore some of the factors that perpetuate the disproportionate attention on well-represented populations. Finally, we discuss ongoing efforts to ameliorate this continuing bias. Collaborative and intensive efforts at all levels of research, from the funding of studies to the publication of their findings, will be necessary to ensure that genomic research does not conserve historical inequalities or curtail the contribution that genomics could make to the health of all humanity.
Article
Full-text available
Ethnic discrimination (ED) is both an unfortunate and uncontrollable phenomenon that uniquely impacts African Americans (AAs) and other individuals of ethnic minority status. Perceived ethnic discrimination (PED), defined as the degree to which an individual consciously perceives a negative event as discriminatory and threatening, largely determines the impact that ED can have on target individuals. However, research has not yet considered how individual differences in both emotion regulation abilities, as indexed by resting high-frequency heart rate variability (HF-HRV), and rumination, a maladaptive emotion regulation strategy, may predict PED in AAs. The following investigation examined this relationship in a sample of 101 college-aged students (45 AAs and 56 Caucasian Americans). Resting HF-HRV was assessed via electrocardiogram during a 5-minute-resting period. Rumination was assessed using the ruminative responses scale and everyday PED was assessed using the perceived ethnic discrimination questionnaire. Results showed a significant negative relationship between resting HF-HRV and PED in AAs only. Rumination significantly moderated this relationship, such that lower HF-HRV was related to higher PED only in AAs who reported moderate to higher, β = 0.417 (0.125), p <.01, levels of trait rumination. These results suggest that greater HF-HRV and lesser ruminative tendencies are key factors in reducing PED and therefore possibly, negative consequences associated with ED.
Article
Full-text available
Status characteristics theory provides a theoretical explanation for why social status promotes social influence in collectively oriented task groups. It argues that status differences produce differences in expectation states, which are anticipations of task-related contributions. Those with an expectation advantage are more influential, contribute more often to group discussions, and so on. The authors conducted the first experimental test of status characteristics theory while participants were in a magnetic resonance imaging machine. This permitted the measurement of neural activity in brain regions found to be associated with processing social status. The results indicate that neural activity does not explain the effect of status on behavior.
Article
Full-text available
While there is substantial overlap in the neural systems underlying empathy for people we know as opposed to strangers, social distance has been shown to significantly moderate empathic neural responses towards the negative experiences of others. Intriguingly however, variance in empathic neural responses towards known and unknown targets has not been reflected by behavioral differences as indexed by self-reported empathic ratings. One explanation for this disconnect is that empathic evaluations of known and unknown individuals draw on different bases (e.g. target identity/reactions) within the empathic process. To test this hypothesis, we utilized high density EEG to assess how individuating targets with personal names moderated the link between behavioral pain ratings and attentional processing oriented towards (a) initial target processing and (b) subsequent expressions target discomfort. Consistent with prior findings, no differences in pain ratings between individuated and unindividuated targets was observed. However, individual mean pain rating differences for individuated targets was strongly positively related to attentional processing levels, indexed by the P300, during the initial presentation of those targets, a relationship absent for unindividuated targets. In contrast, pain ratings for unindividuated targets was positively related to levels of attentional processing, indexed by the Late Positive Potential (LPP), during the subsequent discomfort expression stage. Furthermore, the LPP response to individuated target discomfort was positively linked to behavioral measures of emotional expressivity whereas the LPP response to unindividuated target discomfort was positively associated with cognitive appraisal. These findings suggest that individuation can significantly shift the bases of empathic responding.
Article
Methods for genetic risk prediction have been widely investigated in recent years. However, most available training data involves European samples, and it is currently unclear how to accurately predict disease risk in other populations. Previous studies have used either training data from European samples in large sample size or training data from the target population in small sample size, but not both. Here, we introduce a multiethnic polygenic risk score that combines training data from European samples and training data from the target population. We applied this approach to predict type 2 diabetes (T2D) in a Latino cohort using both publicly available European summary statistics in large sample size (Neff = 40k) and Latino training data in small sample size (Neff = 8k). Here, we attained a >70% relative improvement in prediction accuracy (from R2 = 0.027 to 0.047) compared to methods that use only one source of training data, consistent with large relative improvements in simulations. We observed a systematically lower load of T2D risk alleles in Latino individuals with more European ancestry, which could be explained by polygenic selection in ancestral European and/or Native American populations. We predict T2D in a South Asian UK Biobank cohort using European (Neff = 40k) and South Asian (Neff = 16k) training data and attained a >70% relative improvement in prediction accuracy, and application to predict height in an African UK Biobank cohort using European (N = 113k) and African (N = 2k) training data attained a 30% relative improvement. Our work reduces the gap in polygenic risk prediction accuracy between European and non-European target populations.
Article
Background and objectives: Father loss during childhood has negative health and behavioral consequences, but the biological consequences are unknown. Our goal was to examine how father loss (because of separation and/or divorce, death, or incarceration) is associated with cellular function as estimated by telomere length. Methods: Data come from the 9-year follow-up of the Fragile Families and Child Wellbeing Study, a birth cohort study of children in 20 large American cities (N = 2420). Principal measures are as follows: salivary telomere length (sTL), mother reports of father loss, and polymorphisms in genes related to serotonergic and dopaminergic signaling. Results: At 9 years of age, children with father loss have significantly shorter telomeres (14% reduction). Paternal death has the largest association (16%), followed by incarceration (10%), and separation and/or divorce (6%). Changes in income partially mediate these associations (95% mediation for separation and/or divorce, 30% for incarceration, and 25% for death). Effects are 40% greater for boys and 90% greater for children with the most reactive alleles of the serotonin transporter genes when compared with those with the least reactive alleles. No differences were found by age at father loss or a child's race/ethnicity. Conclusions: Father loss has a significant association with children's sTL, with the death of a father showing the largest effect. Income loss explains most of the association between child sTL and separation and/or divorce but much less of the association with incarceration or death. This underscores the important role of fathers in the care and development of children and supplements evidence of the strong negative effects of parental incarceration.