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Resilience During Pregnancy: How Early Life Experiences are Associated with Pregnancy-Specific Stress

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High levels of maternal pregnancy–specific stress are associated with an increased risk for adverse birth outcomes as well as anxiety and depression symptoms during and following pregnancy. There is evidence that early childhood experiences play an important role in maternal psychological health and well-being and may be important for shaping maternal vulnerability to pregnancy-specific stress. The current study examined the link between both maternal adverse childhood experiences (ACEs) and protective and compensatory experiences (PACEs) and pregnancy-specific stress and considered the mediating and moderating roles of resilience on these associations. Data came from a high-risk clinic cohort of 138 racially diverse pregnant women (ages 16–38). We found that resilience mediated the associations between PACEs and pregnancy-specific stress and moderated the association between ACEs and pregnancy-specific stress. In particular, high levels of resilience were protective against pregnancy-specific stress at low and moderate levels of ACEs. The findings highlight the importance of early childhood experiences on women’s well-being during pregnancy and demonstrate how both ACEs and PACEs contribute to and are protected by resilience.
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ORIGINAL ARTICLE
Resilience During Pregnancy: How Early Life Experiences
are Associated with Pregnancy-Specific Stress
Mira Armans
1
&Samantha Addante
1
&Lucia Ciciolla
1
&Machele Anderson
2
&Karina M. Shreffler
2
Accepted: 18 September 2020
#Springer Nature Switzerland AG 2020
Abstract
High levels of maternal pregnancyspecific stress are associated with an increased risk for adverse birth outcomes as well as
anxiety and depression symptoms during and following pregnancy. There is evidence that early childhood experiences play an
important role in maternal psychological health and well-being and may be important for shaping maternal vulnerability to
pregnancy-specific stress. The current study examined the link between both maternal adverse childhood experiences (ACEs)
and protective and compensatory experiences (PACEs) and pregnancy-specific stress and considered the mediating and moder-
ating roles of resilience on these associations. Data came from a high-risk clinic cohort of 138 racially diverse pregnant women
(ages 1638). We found that resilience mediated the associations between PACEs and pregnancy-specific stress and moderated
the association between ACEs and pregnancy-specific stress. In particular, high levels of resilience were protective against
pregnancy-specific stress at low and moderate levels of ACEs. The findings highlight the importance of early childhood
experiences on womens well-being during pregnancy and demonstrate how both ACEs and PACEs contribute to and are
protected by resilience.
Keywords Pregnancy stress .ACEs .PACEs .Adversity .Resilience .Childhood experiences
Pregnancy is a major life event associated with physiological
and psychological changes, including heightened levels of
stress for many women (Glynn et al., 2004). High levels of
stress during pregnancy have been associated with adverse
perinatal outcomes for mothers and infants (Copper et al.,
1996; Davis et al., 2005;Doleetal.,2003; Hedegaard et al.,
1996; Hoffman & Hatch, 1996). Therefore, it is imperative to
identify potential risks as well as protective factors that may
ameliorate stress levels and contribute to pregnant womens
health and well-being (Dunkel Schetter & Tanner, 2012).
Recent research has demonstrated a positive link between ad-
verse childhood experiences (ACEs) and increased rates of
stress and stress-related difficulties (Manyema et al., 2018),
but less is known about the impact of ACEs on pregnancy-
specific stress. Moreover, to our knowledge, studies have not
yet examined whether protective and compensatory experi-
ences (PACEs) during childhood contribute to lower stress
in adulthood. Finally, we explore the role of individual resil-
ience to explain how childhood experiences are associated
with womens pregnancy-specific stress. Understanding how
childhood experiences contribute to womenswell-beingdur-
ing pregnancy offers the potential for informing intervention
and prevention efforts designed to promote maternal and child
health and well-being. There is, therefore, a crucial need to
explore the relationships between exposure to both adverse
and protective early life experiences, resilience in adulthood,
and stress among pregnant women.
Pregnancy-Specific Stress
Women commonly experience a wide range of adaptations
during pregnancy, such as changes in psychosocial and bio-
logical processes, which may be stressful during the course of
pregnancy (Dunkel Schetter & Tanner, 2012). A number of
stressors may arise during pregnancy related to the
*Karina M. Shreffler
karina.shreffler@okstate.edu
1
Department of Psychology, Oklahoma State University,
Stillwater, OK, USA
2
Department of Human Development and Family Science, Oklahoma
State University, 700 N. Greenwood Ave., Tulsa, OK 74106, USA
https://doi.org/10.1007/s42844-020-00017-3
/ Published online: 8 October 2020
Adversity and Resilience Science (2020) 1:295–305
management or significance of physical symptoms, bodily
changes, parenting apprehensions, relationship tension, labor
and delivery procedures, and the babyswell-being(Guardino
& Dunkel Schetter, 2014; Hamilton & Lobel, 2008; Misra
et al., 2010). Stressors that account for maternal perceptions
and appraisals of personal and environmental circumstances
in relation to pregnancy are conceptualized as pregnancy-
specific stress (also labeled pregnancy-specific distress or
pregnancy anxiety) (Lobel, 1994). Pregnancy-specific stress
is also thought of as an interaction between a womansgeneral
predisposition toward anxious affective states and the condi-
tions and complications of her pregnancy (Guardino &
Dunkel Schetter, 2014). Although it may be adaptive to expe-
rience some degree of stress during pregnancy, as it may en-
courage women to be cautious and take steps to protect their
pregnancies (Guardino & Dunkel Schetter, 2014), when ma-
ternal perception of stress becomes impairing and unmanage-
able, it can quickly turn into distress, which has been linked
with a number of negative outcomes (Wheaton & Montazer,
2010).
A number of previous studies have suggested deleterious
effects of stress during pregnancy on maternal and child
health, demonstrating that prenatal stress increases maternal
vulnerability to anxiety and depression symptoms during and
following pregnancy as well as infant susceptibility to fetal
distress and congenital malformations (Andersson et al.,
2006; Dunkel Schetter & Tanner, 2012). Stress during preg-
nancy produces these harmful effects through neuroendocrine,
immune, cardiovascular, metabolic, and behavioral mecha-
nisms (Dunkel Schetter, 2011; Lobel and Dunkel-Schetter,
2016). Further, stress during pregnancy is particularly impor-
tant because changes in perception of stress during pregnancy
may cue chronically elevated levels of stress in future years
through these pathways. Indeed, Monk and colleagues (2018)
found that perceived maternal stress during pregnancy was
independently associated with higher stress levels several
years later. Yet some previous studies found small or no neg-
ative effects of stress on perinatal outcomes, though this may
be a function of the magnitude or types of perceived stress
among sample participants or sample demographic character-
istics (i.e., there may be a stronger link between stress and
adverse perinatal outcomes among women who identify as
racial/ethnic minority group members) (Littleton et al.,
2010). Thus, collectively these findings suggest the impor-
tance of investigating which types of stressors during preg-
nancy are most impactful.
A wide range of stressors occur during pregnancy and have
implications for adverse perinatal outcomes; however, re-
searchers have concluded that pregnancy-specific stress is as-
sociated with distinct and independent outcomes compared
and global stress (Alderdice et al., 2012). Global stress, also
known as general stress or stress nonspecific to pregnancy,
such as daily hassles, is likely to cooccur with pregnancy-
specific stress; however, pregnancy-specific stress captures a
unique form of stress that women experience during pregnan-
cy (Lobel et al., 2008; Dunkel Schetter & Glynn, 2011).
Pregnancy-specific stress seems to be a particularly potent
form of stress for pregnant women, as it more reliably predicts
preterm birth compared with global stress (Dunkel Schetter &
Glynn, 2011). For example, Roesch et al. (2004)demonstrat-
ed that pregnancy anxiety was associated with earlier birth,
while general state anxiety, general perceived stress, and life
events was not. Further, Kramer et al. (2009) found that
pregnancy anxiety was the only significant predictor of
preterm birth among a large sample of Canadian pregnant
women. Pregnancy-specific stress is argued to be especially
potent because it elicits greater physiological arousal through
neuroendocrine, immune, cardiovascular, metabolic, and be-
havioral pathways, and women may lack coping strategies to
manage this new type of stressor (DiPietro et al., 2002,2004;
Dunkel Schetter, 2011; Huizink et al., 2004; Lobel and
Dunkel-Schetter, 2016).
Additionally, the stress of pregnancy may be exacerbated
by cooccurring stressors. For example, women who are youn-
ger, at high risk for obstetric complications, experiencing on-
going chronic stressors, of racial/ethnic minority group mem-
bership, of lower socioeconomic status, and those experienc-
ing their first time or unplanned pregnancy demonstrate higher
pregnancy-specific stress (e.g., Asghari et al., 2016; Auerbach
et al., 2014,2017). In addition to cooccurring stressors, early
life experiences are relevant for pregnancy-related outcomes
and perinatal well-being (see Olsen, 2018 for a review). It is
critical, therefore, to examine the development of pregnancy-
specific stress, including factors that contribute to, or protect
against, experiencing higher levels of pregnancy-specific
stress.
EarlyLifeExperiences
The life course perspective as well as the theory of allostatic
load provide a comprehensive theoretical framework for un-
derstanding how early life experiences may influence health
outcomes and general well-being. Chronic and repeated stress
at an early age, such that occurs with adverse childhood ex-
periences (ACEs) (Danese et al., 2009), disrupt healthy bio-
logical, neurological, and psychological development, includ-
ing dysregulation of the stress response system, thereby in-
creasing physiological wear and tearand hindering the ac-
quisition of healthy coping strategies in the face of adversity,
ultimately placing individuals at greater risk for psychological
and physical health problems (Danese et al., 2009;Jaffee&
Christian, 2014; Nemeroff, 2004; Nurius et al., 2015).
Alternatively, emerging research suggests there might be
equally significant protective childhood experiences that mit-
igate the effects of adversity. There is a lack of a unified
296 ADV RES SCI (2020) 1:295–305
assessment tool for examining positive childhood experi-
ences, unlike the ACEs survey which has been widely used
to assess for negative childhood experiences. The Protective
and Compensatory Experiences (PACEs) scale (Hays-Grudo
&Morris,2020) has been introduced to assess the strengths
and availability of positive childhood experiences. Consistent
with the developmental literature, experiences such as having
access to a safe and loving caregiver, close friends, a stable
home environment, and community opportunities (e.g., social
clubs and educational resources) have been found to be pro-
motive of favorable health outcomes that extend into adult-
hood (Masten, 2001;Morrisetal.,2014;Wrightetal.,2013).
Specifically, early social interactions such as secure attach-
ment with caregivers, relationships with peers, teachers, and
supportive adults have been shown to promote feelings of
safety and security and lay the foundation for later positive
relational experiences (Hays-Grudo & Morris, 2020;Sroufe,
2000;Sroufe,2005).
Childhood Experiences and Pregnancy
Early life experiences, both negative and positive, have sig-
nificant implications for health and well-being during preg-
nancy. Women with a history of childhood adversity are at
greater risk for complications during and following pregnan-
cy, including low birth weight and preterm birth, alcohol use
and smoking during pregnancy, and psychological risk (e.g.,
depression, anxiety, stress) (Chung et al., 2010;Hillisetal.,
2004;Hudziak,2018; Racine et al., 2018). Thomas et al.
(2018) found women with a history of four or more ACEs to
have altered HPA (hypothalamic-pituitary-adrenal) axis func-
tioning (e.g., 2.5 times higher awakening cortisol levels) dur-
ing pregnancy than those who reported none. To date, much of
the psychological literature has focused on the dose-response
association between ACEs and depressive symptoms during
and following pregnancy (Ångerud et al., 2018; Chung et al.,
2008), whereas no studies have examined the associations
between ACEs and pregnancy-specific stress. However, the
wear and tearprocess of ACEs (e.g., altered HPA function-
ing) and the hindering of the acquisition of healthy coping
strategies in the face of adversity, may exacerbate
pregnancy-specific stress, especially among women with lack
of adequate resources. Thus, it is critical to expand the litera-
ture on ACEs to include impact on pregnancy-specific stress
due to the risks for adverse maternal and child health out-
comes that are due to exposure to increased physiological
arousal during childhood (Alderdice et al., 2012;Lieberman
et al., 2009; Narayan et al., 2016; Narayan et al., 2017).
Similarly, PACEs might also be critically important during
pregnancy, as pregnant women begin to shape and organize
their expectations for parenthood based on recollection of ear-
ly life experiences (Lieberman et al., 2009; Narayan et al.,
2016; Narayan et al., 2017). Protective childhood experiences
may be particularly important to buffer the impacts of child-
hood adversity. For example, Carroll and colleagues (2013)
found parental warmth to buffer the negative impact of child-
hood abuse on allostatic load during young and middle
adulthood. Chung et al. (2008) found positive influences in
childhood to buffer the risk for depressive symptoms during
pregnancy among a sample of African American, low-income
women with a history of ACEs. Similarly, Narayan et al.
(2017) found that higher benevolent childhood experiences
predicted lower levels of psychopathology and stress above
and beyond the effects of ACEs in a sample of ethnically
diverse, low-income pregnancy women. These studies high-
light how protective early life experiences might mitigate the
negative consequences of ACEs for women during
pregnancy.
Resilience
In addition to directly buffering the impact of ACEs on
pregnancy-related outcomes, PACEs may protect against the
negative effects of ACEs through the promotion of resilience
and resilient functioning (Masten, 2001; Wright et al., 2013).
Resilience, at its most basic meaning, refers to the ability to
bounce back or recover from threats and return to a previous
level of functioning in spite of adversity (Masten, 2001;
Wright et al., 2013). Having positive relationships with family
and peers and strong connections to adults are among the top
factors that promote resilient functioning among the general
population (Burt and Paysnick, 2012). Though research on the
direct link between PACEs and adulthood resilience is scant,
Bradley et al. (2013) found that a positive childhood family
environment (e.g., warmth) predicted resilience within a large
African-American adult sample (Bradley et al., 2013).
The concept of resilience has been defined in numerous
ways, including utilizing effective coping, adjusting to chang-
es in the environment, and not developing illness in the face of
adversity (Dunkle Schetter and Dolbier, 2011; Tusaie and
Dyer, 2004). A growing body of literature suggests that de-
spite lacking a uniform conceptualization and measurement,
resilience is associated with favorable maternal and infant
health outcomes (Chung et al., 2008;Lietal.,2016;
Narayan et al., 2017). Of particular relevance for the current
study, resilience may buffer the negative impacts of childhood
adversity among pregnant women; Young-Wolf and col-
leagues (2019) found that among pregnant women, higher
ACE scores were associated with poorer mental health out-
comes (e.g., anxiety, depression) only among those with low
levels of resilience. Further, a study that examined the associ-
ations between pregnancy-specific stress, resilience, and sleep
quality demonstrated that resilience was a protective factor for
sleep quality (Li et al., 2016). These findings suggest that
297ADV RES SCI (2020) 1:295–305
resilience may attenuate the negative impacts of childhood
adversity for pregnant women.
Although no studies to our knowledge have examined re-
silience as it directly relates to the relationship between early
life experiences and pregnancy-specific stress, resilience may
explain or moderate this association, because higher levels of
resilience are associated with healthier functioning (or less
disruptions in functioning) strategies in the face of stress
(Chung et al., 2008;Lietal.,2016; Narayan et al., 2017). In
sum, resilience may be especially salient for pregnant women
experiencing pregnancy-specific stress. An examination of the
mediating and moderating roles of resilience is needed given
the limited attention this research has received to-date in the
literature.
Current Study
The current study examined the direct effects of ACEs and
PACEs on pregnancy-specific stress as well as the mecha-
nisms through which resilience may be a protective factor in
a clinic-based cohort sample of pregnant women. We hypoth-
esized that exposure to more ACEs is associated with higher
levels of pregnancy-specific stress, whereas exposure to more
PACEs is associated with lower levels of pregnancy-specific
stress. To better understand the role of resilience, tests of
moderation and mediation were examined. We hypothesized
that resilience moderates the association between ACEs and
pregnancy-specific stress such that the relationship between
ACEs and pregnancy-specific stress is weaker at higher levels
of resilience. Additionally, resilience was examined as a pos-
sible mediator between PACEs and pregnancy-specific stress.
We hypothesized that resilience mediates or explains the as-
sociation between PACEs and pregnancy-specific stress;
more protective early life experiences are expected to be as-
sociated with higher resilience in adulthood, which in turn is
expected to be associated with lower levels of pregnancy-
specific stress.
Methods
Study Sample
Data for the current study are from an ongoing clinic-based
cohort study involving 177 pregnant women (ages 1638)
recruited from two university-affiliated perinatal clinics in a
metropolitan area in a South-Central US state. The focus of
the larger study is maternal early life experiences and adverse
birth outcomes, and the first wave of data collection occurred
in 20172018. The clinics serve a racially diverse, socioeco-
nomically disadvantaged, and medically underserved patient
population. The sample for the current study was restricted to
the 138 participants who responded to the first and third sur-
vey waves, conducted in the first and third trimesters of preg-
nancy. All variables for the current study were assessed in the
first wave. The study received approval from the authors
university Institutional Review Board. All participants provid-
ed written informed consent, and participants younger than 18
provided written assent and their parents provided consent.
Measures
The Prenatal Distress Questionnaire (PDQ) (Yali and Lobel,
1999) was used to measure the dependent variable,
pregnancy-specific stress, and is the only variable in the study
drawn from the third survey wave. The PDQ is a 12-item self-
reported assessment of concerns and worries associated with
pregnancy including medical problems, physical symptoms,
parenting, relationships, bodily changes, labor and delivery,
and the health of the baby, and has good internal reliability
and validity (Alderdice and Lynn, 2011). Items were rated on
a 5-point scale ranging from 0 (not at all) to 4 (extremely), and
were summed. Items include I worry about having an un-
healthy babyand physical symptoms of pregnancy such as
nausea, vomiting, swollen feet, or backaches irritate me.
Although the PDQ average score in the current sample (M=
18.79) is higher than other studies that used the PDQ (M=
15.1; Lynn et al., 2011;M= 14.8; Pluess et al., 2010), these
studies examined pregnancy-specific stress among low-risk
mothers, while this sample is characterized as high-risk. In
the current sample, Cronbachs alpha is 0.84.
Early life experiences are the primary independent vari-
ables in the study. Adverse childhood experiences (ACEs)
were coded as a sum of 10 items of childhood adversity that
include questions about physical and emotional abuse and
neglect as well as household dysfunction, with scores ranging
from 0 (no adverse childhood experiences) to 10 (Felitti et al.,
1998). Although the ACE scores in the current sample (aver-
age = 3) are nearly twice as high as the national average (1.57)
(Merrick et al., 2018), this is reflective of the sample popula-
tion, which is predominately nonWhite and low income.
Similar ACE scores have been noted in other samples of dis-
advantaged pregnant women (e.g., Howell et al., 2020).
Protective and compensatory experiences (PACEs) were also
coded as a sum of 10 items reflecting protective experiences
including being loved unconditionally, having a safe and
clean home, having enough food to eat, and having prosocial
relationships with peers and adults (Hays-Grudo and Morris,
2020).
Resilience was measured using the Brief Resilience Scale
(BRS) (Smith et al., 2008). The BRS is a six-item scale mea-
suring the ability to bounce back or recover from stress (e.g.,
I tend to bounce back quickly after hard times,”“It does not
take me long to recover from a stressful event,”“It is hard for
me to snap back when something bad happens), and scores
298 ADV RES SCI (2020) 1:295–305
are coded or reverse coded on a 5-point Likert scale from 1
(strongly disagree) to 5 (strongly agree) with higher scores
indicating higher resilience. The Cronbachs alpha in our
study was 0.71.
Several control variables were also examined in relation to
pregnancy-specific stress, early life experiences, and resil-
ience that have known associations to the variables of interest.
Age and education were included as continuous variable indi-
cating years. Unplanned pregnancy was assessed by a ques-
tion asking participants, Was this pregnancy unplanned?
with responses coded as 0 = no and 1 = yes. Those who indi-
cated they lived in a marriage or cohabiting union were coded
as 1, with those not in a union coded as 0. Race/ethnicity was
assessed using the two standard census questions. Due to
small cell counts in minority groups, dummy variables were
constructed for Black, Hispanic, and Native American as
compared with White. Only a few respondents indicating an
otherrace/ethnicity, and they were excluded from analyses.
Overview of Analyses
First, descriptive statistics and bivariate associations were cal-
culated for all variables. Second, structural equation modeling
was utilizedto construct the simultaneous mediating and mod-
erating role of resilience. Specifically, resilience was exam-
ined as a mediator in the association between PACEs and
pregnancy-specific stress, and as a moderator in the link be-
tween ACEs and pregnancy-specific stress. The model con-
trolled for (included as covariates) additional demographic
variables including age, race, education level, the presence
of a partner in the home, and whether the pregnancy was
unplanned. Simple slopes were constructed and examined
for moderation analyses. Missing data was handled through
Mplus using maximum likelihood (ML) modeling.
Results
Means and standard deviations for all variables appear in
Table 1, along with maximum and minimum values for each
variable. The average pregnancy-specific stress score was
18.79, which is near the midpoint of the range (2 to 44). On
average, participants reported nearly three (M=2.54) ACEs
and more than seven (M= 7.03) PACEs. The percentage of
participants endorsing individual ACEs and PACEs items
were examined. The most frequently endorsed ACEs items
were ones related to parents separated/divorced (48.6%), ver-
bal abuse (39%), emotional neglect (28%), and physical abuse
(27.7%). The most frequently endorsed PACEs items were
having a best friend (84.7%), living in a typically clean and
safe home (81.8%), and having someone who unconditionally
loved them (81.1%). Least frequently endorsed ACEs includ-
ed having a household member in prison (13%) and sexual
abuse (16.4%). Least frequently endorsed PACEs items were
having a hobby (43.7%) and engaging in service to help others
(52.8%). Participants reported moderate levels of resilience,
on average (M= 12.795). On average, participants were
25 years old and had a high school diploma. More than a third
(35.0%) reported their pregnancies were unplanned, and
46.3% were married or cohabiting. The sample was diverse,
with 39.5% of participants reporting their race/ethnicity as
White; 28.2% as Black, 13.6% as Hispanic, and 17.5% as
Native American.
Simple correlations among the variables appear in Table 2
and show statistical significance among conceptually related
variables. Pregnancy-specific stress was associated in the ex-
pected directions with ACEs (r=0.27,p< 0.01), PACEs (r=
0.28, p< 0.01), and resilience (r=0.51, p< 0.01). Only
PACEs was significantly correlated with resilience (r=0.18,
p< 0.05). ACEs and PACEs were not correlated with each
other. To further investigate the cooccurrence of ACEs and
PACEs, the association between ACEs and PACEs levels was
examined and depicted in Fig. 1. Results indicated that 2.5%
reported high ACEs (4+ items endorsed) and low PACEs (04
items endorsed), whereas 17% reported high ACEs and high
PACEs (810 items endorsed). Interestingly, 25% endorsed
low ACEs and high PACEs, while 8% endorsed low ACEs
and low PACEs.
Structural equation modeling was utilized using Mplus 8.0
(Muthén and Muthén, 1998-2017) to simultaneously and
comprehensively examine the mediating and moderating roles
of resilience. Specifically, resilience was examined as a medi-
ating variable in the association between PACEs and
pregnancy-specific stress, and as a moderating variable in
the association between ACEs and pregnancy-specific stress.
Table 1 Descriptive statistics of study variables (n=138)
M/ % SD Min Max
Pregnancy-specific stress 18.79 7.27 2 44
Early life experiences
ACEs 2.54 2.75 0 10
PACEs 7.03 2.92 0 10
Resilience 21.51 3.66 12 30
Age (years) 25.16 5.54 16 38
Education (years) 12.79 1.95 8 19
Unplanned pregnancy 35.0% –– –
Union (married/cohabiting) 46.3% –– –
Race/ethnicity
White 39.5% –– –
Black 28.2% –– –
Hispanic 13.6% –– –
Native American 17.5% –– –
ACEs Adverse Childhood Experiences Scale; PACEs Protective And
Compensatory Experiences Scale
299ADV RES SCI (2020) 1:295–305
The model controlled for demographic variables including
age, race, education level, the presence of a partner in the
home, and whether the pregnancy was unplanned. Of the de-
mographic variables, age was the only predictor significantly
associated with pregnancy-specific stress. Younger age was
predictive of higher pregnancy-specific stress (β=0.27,
SE = 0.09, p< 0.01). Overall, the fit indices for the combined
model indicated acceptable fit according to widely used stan-
dards (Hooper et al., 2008), χ
2
= 12.21 (9), p=0.20;
RMSEA = 0.05; SRMR = 0.03; CFI = 0.96. The model pre-
dicted 41% of the variance in pregnancy-specific stress ac-
cording to R
2
. The model is depicted in Fig. 2.
Resilience was found to be a significant mediator in the
association between PACEs and pregnancy-specific stress,
as shown in Table 3. The results of the mediation analysis
supported the hypothesized indirect effect of PACEs on
pregnancy-specific stress via resilience, ab =0.23, 95%
CI = [0.41, 0.05].
Results also showed that resilience was a significant mod-
erator in the association between ACEs and pregnancy-
specific stress, with a statistically significant interaction term,
[ACEs × resilience], β=0.14,SE =0.04,p<0.01.Thesimple
slopes were examined under low, moderate, and high levels of
resilience, which represent the mean± 1 SD. Women with low
levels of resilience had consistently high levels of pregnancy-
specific stress across the range of ACEs scores. The simple
slopes between ACEs and pregnancy-specific stress were pos-
itive at moderate and high levels of resilience. High levels of
resilience were found to be protective against pregnancy-
specific stress at low and moderate levels of ACEs, compared
with women with low levels of resilience (mean differences in
pregnancy-specific stress between women with low and high
resilience were medium to large, with Cohensdvalues of
0.60 and 1.13 at moderate and low levels of ACEs, respec-
tively). At high levels of ACEs, pregnancy-specific stress
levels were approximately equal for all levels of resilience.
Figure 3shows the simple slopes for the moderation analyses.
For a sensitivity analysis, we also conducted the analysisin
an adult-only sample (those ages 18 and older), resulting in a
removal of 5 participants (ages 16 and 17). Results were con-
sistent with results from the full sample reported above.
Specifically, all significant and nonsignificant paths retained
their significance status and betas changed by an average of
0.01. Simple slopes also retained their pattern (findings not
presented).
Discussion
The current study aimed to understand the impact of early life
experiences on pregnancy-specific stress in a clinic-based co-
hort sample of pregnant women. We examined the associa-
tions of both adverse (ACEs) and protective (PACEs) early
life experiences on pregnancy-specific stress and investigated
the role of resilience in both relationships. We hypothesized
Table 2 Bivariate correlations among study variables
1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11.
1. Pregnancy-specific stress
2. ACEs 0.27
**
3. PACEs 0.28
**
0.00
4. Resilience 0.51
**
0.09 0.18
*
5. Age 0.19
*
0.05 0.10 0.12
6. Education (years) 0.03 0.00 0.19
*
0.17
*
0.37
**
7. Unplanned pregnancy
a
0.10 0.14 0.04 0.03 0.09 0.00
8. Union 0.05 0.22
**
0.09 0.01 0.02 0.12 0.16
*
9. White 0.11 0.19
*
0.04 0.12 0.22
**
0.14 0.17
*
0.16
*
10. Black 0.07 0.21
**
0.03 0.08 0.00 0.08 0.06 0.28
**
52
**
11. Hispanic 0.00 0.03 0.01 0.00 0.22
**
0.00 0.16
*
0.03 0.33
**
0.25
**
12. Native American 0.05 0.03 0.09 0.05 0.08 0.27
**
0.02 0.09 0.38
**
0.29
**
0.19
*
*
p<0.05,
**
p<0.01
Fig. 1 The association between ACEs and PACEs categories
300 ADV RES SCI (2020) 1:295–305
resilience to be a significant mediator in the relationship be-
tween PACEs and pregnancy-specific stress, and to be a mod-
erator in the relationship between ACEs and pregnancy-
specific stress.
Exposure to ACEs among our participants was predictive
of pregnancy-specific stress, thereby confirming our hypoth-
eses and supporting numerous studies highlighting the delete-
rious effects of adverse childhood experiences (Danese et al.,
2009; Jaffee & Christian, 2014;Nemeroff,2004; Nurius et al.,
2015). However, resilience was a significant moderator of the
association between ACEs and pregnancy-specific stress, fur-
ther emphasizing the protective nature of resilience among
pregnant women as it relates to stress. Of note, high levels
of resilience were found to be protective against pregnancy-
specific stress at low and moderate levels of ACEs, but not at
high levels of ACEs. In other words, at high levels of ACEs,
resilience was not as effective at counteractingthe negative
impact of adversity as it was at lower levels of ACEs. This
finding is similar to prior research suggesting resilience fac-
tors are not as protective at higher levels of ACEs (Crandall
et al., 2019). However, previous studies found other protective
factors to be significant moderators even at higher levels of
ACEs including social support and life satisfaction (Crandall
et al., 2019; Logan-Greene et al., 2014). Additional research is
needed to determine whether the impact of high levels of
ACEs on pregnancy-specific stress is moderated by different
types of protective factors. Moreover, previous literature sug-
gests a dose-response effect of ACEs; it is possible that resil-
ience has a similar graded effect, although it has not specifi-
cally been examined in this fashion. Overall, results under-
score the protective role of resilience against pregnancy-
specific stress among our sample of women who may be at
increased risk due to being socioeconomically disadvantaged
and medically underserved (Kingston et al., 2012).
Table 3 Model coefficients for
mediation and moderation
analyses
Β(SE) 95% CI
Mediation paths
PACEs pregnancy-specific stress 0.38 (0.22) [0.85, 0.00]
PACEs resilience 0.24* (0.09) [0.06, 0.43]
Resilience pregnancy-specific stress 0.93* (0.11) [1.13, 0.71]
Moderation paths
ACEs pregnancy-specific stress 0.56* (0.18) [0.19, 0.90]
ACEs × resilience Pregnancy-specific stress 0.14* (0.04) [0.05, 0.22]
Simple slope (low resilience) 0.01 (0.26) [0.54, 0.51]
Simple slope (medium resilience) 0.56* (0.18) [0.19, 0.90]
Simple slope (high resilience) 1.11* (0.24) [0.63, 1.57]
Covariates
Age pregnancy stress 0.27* (0.09) [0.45, 0.10]
Education pregnancy-specific stress 0.47* (0.23) [0.01, 0.94]
Unplanned pregnancy pregnancy specific stress 0.97 (0.97) [0.94, 2.88]
Union pregnancy-specific stress 0.60 (0.99) [1.32, 2.49]
Black
a
pregnancy stress 1.26 (1.28) [2.62, 2.41]
Hispanic
a
pregnancy stress 1.66 (1.50) [4.74, 1.26]
Native American
a
pregnancy stress 0.54* (1.27) [3.11, 1.96]
*
p< 0.05. Unstandardized path coefficients are reported. Low, medium, and high resilience = mean ± 1 SD.
a
Reference group = White
Fig. 2 Structural equation model examining resilience as a mediating and
moderating variable. Analyses controlled for age, race, education, union
status, and unplanned pregnancy. Standardized path coefficients are
reported. ACEs = Adverse childhood experiences; PACEs = Protective
and compensatory experiences
301ADV RES SCI (2020) 1:295–305
Also in support of our hypothesis, exposure to a greater
number of PACEs was associated with lower levels of
pregnancy-specific stress among our participants. Previous
literature (Hays-Grudo, & Morris, 2020; Wright et al., 2013)
documents the positive impact of early protective factors on
various outcomes in adulthood, and our results lend further
support with regard to benefits for pregnancy-specific stress.
Importantly, resilience mediated the observed link between
PACEs and pregnancy-specific stress, wherein greater expo-
sure to PACEs was associated with higher levels of resilience,
and in turn, higher resilience was associated with lower levels
of pregnancy-specific stress. These results are preliminary, yet
suggest a beneficial role of childhood protective and compen-
satory experiences as a mechanism that may foster resilience.
Moreover, these results replicate others that suggest that resil-
ience may be fostered through positive early life experiences
despite childhood adversity rather than an innate characteristic
(Masten, 2001). It is possible, therefore, that promoting posi-
tive experiences during childhood may play a critical role for
fostering resilience in adulthood.
Strengths
The current study has several strengths including examining
resilience in a sample of racially diverse, economically disad-
vantaged, and medically underserved pregnant women.
Although extant literature documents the buffering effects of
resilience against a host of negative outcomes, fewer investi-
gations have focused on women during pregnancy. Similarly,
there has been little focus in the literature given to pregnancy-
specific stress, even though stressamong pregnant women has
been predictive of a number of negative maternal and infant
outcomes (Andersson et al., 2006; Dunkel Schetter & Tanner,
2012), particularly for pregnant women of minority status and
who are undergoing socioeconomic challenges (Ciciolla et al.,
2019).
Further, the current study examined early positive and pro-
tective childhood experiences that are linked to resilience
among pregnant women. As the deleterious effects of ACEs
have been widely established in literature and policy, there is a
growing awareness of and need to understand early childhood
protective and compensatory experiences that may help offset
the impact of such adverse events. The examination of a num-
ber of protective and compensatory childhood experiences in
this study (PACEs scale) shed light on factors that may foster
resilience and thus can inform secondary and tertiary preven-
tion services (Oral et al., 2016).
Limitations and Future Directions
There are several limitations that should be considered when
interpreting the results of this study and addressed in future
studies. Most notably, data regarding childhood experiences
were reported retrospectively, suggesting that results may
consequently be affected by recall bias or lack of
comfortability with reporting past experiences. Additionally,
data were collected solely from the study participants on their
own childhood experiences. Although self-reports of traumat-
ic events in childhood are stronger predictors of psychological
outcomes in adulthood than informant-reports(Newbury et al.
2018), it is possible that their reports may be confounded by
mood or recall. Including measures at multiple time points or
by multiple informants may enhance the reliability or validity
of these findings. Further, the sample was recruited from ur-
ban-serving, low-income prenatal clinics in a small, metropol-
itan city. Although it included a diverse sample of women
from a variety of racial/ethnic backgrounds, it should be noted
that data was primarily collected from a single geographic
region in the USA. Thus, the mediation findings, although
supported byrelevant theory and guided temporal precedence,
should be considered as exploratory and not representative of
all pregnant women. Additionally, although this study
assessed individual-level resilience, resilience as a construct
may be influenced by broader systems, such as community
and societal factors. Thus, future research may benefit from
examining a broader conceptualization of resilience that in-
cludes aspects of the community and sociopolitical setting. It
would also be beneficial for future studies to examine the
Fig. 3 Associations between
ACEs and pregnancy-specific
stress at high, moderate, and low
levels of resilience (mean ± 1 SD)
302 ADV RES SCI (2020) 1:295–305
long-term role of resilience and examine if it has additional
promotive effects on pregnancy stress over time or on birth
outcomes. It is possible, for example, that the impact of resil-
ience may become more evident over time or more beneficial
during certain time periods, especially as it relates to maternal
and infant health during pregnancy and the postpartum period.
Further, it is important to note that this sample reported high
PACEs, even among those with high ACEs. Although results
were similar to other findings that suggested that resilience
factors are not as protective at higher levels of ACEs
(Crandall et al., 2019), it may be beneficial for future studies
to consider if there are any differences between low and high
PACES among individuals with low ACEs. This study also
highlights several implications for clinical practice related to
the health and well-being of pregnant women. First, future
work should consider maternal ACEs and PACEs in relation
to the prevention of elevated stress level during pregnancy.
For example, screening for pregnancy-specific stress and
known risk factors, such as ACEs, during the perinatal period
may help to identify mothers needing additional support and
intervention. Additionally, screening for protective factors,
such as PACEs and resilience, may be another critical element
in a comprehensive approach to intervention, as it may help to
identify additional protective factors that may be utilized to
support treatment goals or strengthened as part of treatment in
order to foster resilience over time. Second,
psychoeducational programs implemented with pregnant
women with a history of ACEs that aim to enhance the mental
health and pregnancy-related outcomes have shown participa-
tion to be beneficial (e.g., Seng et al., 2011). Thus, it may
benefit these programs to incorporate content related to build-
ing coping strategies and support systems crucial for postpar-
tum functioning. The concept of resilience is closely connect-
ed to aspects of security, closeness, and belonging; therefore,
interventions research that aims to promote interpersonal
skills and connectedness may be especially relevant for preg-
nant women exposed to high levels of stress and adversity.
Conclusion
In sum, findings from this study suggest that early child-
hood experiences play an important role in maternal psy-
chological health and well-being and may be important for
shaping maternal vulnerability to pregnancy-specific
stress. Resilience mediates the association between
PACES and pregnancy-specific stress and moderates the
association between ACEs and pregnancy-specific stress,
such that high levels of resilience are protective against
pregnancy-specific stress at low and moderate levels of
ACEs. The findings highlight the importance of early
childhood experiences on womens well-being during
pregnancy and demonstrate how both ACEs and PACEs
contribute to the protective role of resilience against
pregnancy-specific stress.
Acknowledgments This research was supported by the National Institute
of General Medical Sciences of the National Institutes of Health
(P20GM109097; Jennifer Hays-Grudo, PI).
Funding Author blinded.
Availability of Data and Materials The datasets used and/or analyzed
during the current study are available from the corresponding author upon
request.
Compliance with Ethical Standards
Competing Interests The authors declare that they have no competing
interests.
Ethics Approval and Consent to Participate The Oklahoma State
University Institutional Review Board (IRB) approved this study.
Consent for Publication Not applicable.
Disclaimer The content is solely the responsibility of the authors and
does not necessarily represent the official views of the National Institutes
of Health. The authors would like to thank the HATCH Project partici-
pating clinics, and particularly Drs. Karen Gold, Jameca Price, and Lance
Frye for their support.
References
Alderdice, F., & Lynn, F.(2011). Factor structure of the Prenatal Distress
Questionnaire. Midwifery, 27(4), 553559.
Alderdice, F., Lynn, F., & Lobel, M. (2012). A review and psychometric
evaluation of pregnancy-specific stress measures. Journal of
Psychosomatic Obstetrics and Gynecology, 33(2), 6277.
Andersson, L., Sundström-Poromaa, I., Wulff, M., Åström, M., & Bixo,
M. (2006). Depression and anxiety during pregnancy and six
months postpartum: a follow-up study. Acta Obstetricia et
Gynecologica Scandinavica, 85(8), 937944.
Ångerud, K., Annerbäck, E. M., Tydén, T., Boddeti, S., & Kristiansson,
P. (2018). Adverse childhood experiences and depressive symptom-
atology among pregnant women. Acta Obstetricia et Gynecologica
Scandinavica, 97(6), 701708.
Asghari, E., Faramarzi, M., & Mohammmadi, A. K. (2016). The effect of
cognitive behavioural therapy on anxiety, depression and stress in
women with preeclampsia. Journal of Clinical and Diagnostic
Research: JCDR, 10(11), QC04QC07.
Auerbach, M. V., Lobel, M., & Cannella, D. T. (2014). Psychosocial
correlates of health- promoting and health-impairing behaviors in
pregnancy. Journal of Psychosomatic Obstetrics and Gynecology,
35(3), 7683.
Auerbach, M. V., Nicoloro-SantaBarbara, J., Rosenthal, L., Kocis, C.,
Weglarz, E. R., Busso, C. E., & Lobel, M. (2017). Psychometric
properties of the Prenatal Health Behavior Scale in mid-and late
pregnancy. Journal of Psychosomatic Obstetrics and Gynecology,
38(2), 143151.
Bradley, B., Davis, T. A., Wingo, A. P., Mercer, K. B., & Ressler, K. J.
(2013). Family environment and adult resilience: contributions of
positive parenting and the oxytocin receptor gene. European
Journal of Psychotraumatology, 4(1), 21659.
303ADV RES SCI (2020) 1:295–305
Burt, K. B., & Paysnick, A. A. (2012). Resilience in the transition to
adulthood. Development and Psychopathology, 24(2), 493505.
Chung, E. K., Mathew, L., Elo, I. T., Coyne, J. C., & Culhane, J. F.
(2008). Depressive symptoms in disadvantaged women receiving
prenatal care: the influence of adverse and positive childhood expe-
riences. Ambulatory Pediatrics, 8(2), 109116.
Chung, E. K., Nurmohamed, L., Mathew, L., Elo, I. T., Coyne, J. C., &
Culhane, J.F. (2010). Risky health behaviors among mothers-to-be:
the impact of adverse childhood experiences. Academic Pediatrics,
10(4), 245251.
Ciciolla, L., Armans, M., Addante, S., & Huffer, A. (2019). Racial dis-
parities in pregnancy and birth outcomes. In Handbook of Children
and Prejudice (pp. 6797). Springer, Cham, Racial Disparities in
Pregnancy and Birth Outcomes.
Copper, R. L., Goldenberg, R. L., Das, A., Elder, N., Swain, M., Norman,
G., et al. (1996). The preterm prediction study: maternal stress is
associated with spontaneous preterm birth at less than thirty-five
weeksgestation. American Journal of Obstetrics and
Gynecology, 175(5), 12861292.
Crandall, A., Miller, J.R., Cheung, A., Novilla, L. K., Glade, R., Novilla,
M. L. B., Magnusson, B. M., Leavitt, B. L., Barnes, M. D., &
Hanson, C. L. (2019). ACEs and counter-ACEs: how positive and
negative childhood experiences influence adult health. Child Abuse
& Neglect, 96, 104089.
Danese, A., Moffitt, T. E., Harrington, H., Milne, B. J., Polanczyk, G.,
Pariante, C. M., Poulton, R., & Caspi, A. (2009). Adverse childhood
experiences and adult risk factors for age-related disease: depres-
sion, inflammation, and clustering of metabolic risk markers.
Archives of Pediatrics & Adolescent Medicine, 163(12), 1135
1143.
Davis, E. P., Glynn, L. M., Schetter, C. D., Hobel, C., Chicz-Demet, A.,
& Sandman, C. A. (2005). Corticotropin-releasing hormone during
pregnancy is associated with infant temperament. Developmental
Neuroscience, 27(5), 299305.
DiPietro,J. A., Hilton, S. C., Hawkins, M., Costigan, K. A., & Pressman,
E. K. (2002). Maternal stress and affect influence fetal neurobehav-
ioral development. Developmental Psychology, 38(5), 659668.
DiPietro, J. A., Ghera, M. M., Costigan, K., & Hawkins, M. (2004).
Measuring the ups and downs of pregnancy stress. Journal of
Psychosomatic Obstetrics and Gynecology, 25(34), 189201.
Dole, N., Savitz, D. A., Hertz-Picciotto, I., Siega-Riz, A. M., McMahon,
M. J., & Buekens, P. (2003). Maternal stress and preterm birth.
American Journal of Epidemiology, 157(1), 1424.
Dunkel Schetter, C. (2011). Psychological science on pregnancy: stress
processes, biopsychosocial models, and emerging research issues.
Annual Review of Psychology, 62,531558.
Dunkel Schetter, C., & Glynn, L. M. (2011). Stress in pregnancy: empir-
ical evidence and theoretical issues to guide interdisciplinary re-
search. In In The Handbook of Stress Science Biology, Psychology
and Health. Springer Publishing Company New York.
Dunkel Schetter, C., & Tanner, L. (2012). Anxiety, depression and stress
in pregnancy: implications for mothers, children, research, and prac-
tice. Current Opinion in Psychiatry, 25(2), 141148.
Dunkle Schetter, C., & Dolbier, C. (2011). Resilience in the context of
chronic stress and health in adults. Social and Personality
Psychology Compass, 5(9), 634652.
Felitti, V. J., Anda, R. F., Nordenberg, D., Williamson, D. F., Spitz, A.
M., Edwards, V., & Marks, J. S. (1998). Relationship of childhood
abuse and household dysfunction to many of the leading causes of
death in adults: The Adverse Childhood Experiences (ACE) Study.
American Journal of Preventive Medicine, 14(4), 245258.
Glynn, L. M., Dunkle Schetter, C., Wadhwa, P. D., & Sandman, C. A.
(2004). Pregnancy affects appraisal of negative life events. Journal
of Psychosomatic Research, 56(1), 4752.
Guardino, C. M., & Dunkel Schetter, C. (2014). Coping during pregnan-
cy: a systematic review and recommendations. Health Psychology
Review, 8(1), 7094.
Hamilton, J. G., & Lobel, M. (2008). Types, patterns, and predictors of
coping with stress during pregnancy: examination of the Revised
Prenatal Coping Inventory in a diverse sample. Journal of
Psychosomatic Obstetrics and Gynecology, 29(2), 97104.
Hays-Grudo, J., & Morris, A. S. (2020). Adverse and protective child-
hood experiences:A developmental perspective. Washington, DC:
American Psychological Association.
Hedegaard, M., Henriksen, T. B., Secher, N. J., Hatch, M. C., & Sabroe,
S. (1996). Do stressful life events affect duration of gestation and
risk of preterm delivery? Epidemiology, 7,339345.
Hillis, S. D., Anda, R. F., Dube, S. R., Felitti, V. J., Marchbanks, P. A., &
Marks, J. S. (2004). The association between adverse childhood
experiences and adolescent pregnancy, long-term psychosocial con-
sequences, and fetal death. Pediatrics, 113(2), 320327.
Hoffman, S., & Hatch, M. C.(1996). Stress, social support and pregnancy
outcome: a reassessment based on recent research. Paediatric and
Perinatal Epidemiology, 10(4), 380405.
Hooper, D., Coughlan, J., & Mullen, M. (2008). Evaluating model fit: a
synthesis of the structural equation modelling literature. In In 7th
European Conference on research methodology for business and
management studies (pp. 195200).
Howell, K. H., Miller-Graff, L. E., Schaefer, L. M., & Scrafford, K. E.
(2020). Relational resilience as a potential mediator between adverse
childhood experiences and prenatal depression. Journal of Health
Psychology, 25(4), 545557.
Hudziak, J. J. (2018). ACEs and pregnancy: time to support all expectant
mothers. Pediatrics, 141(4), e20180232.
Huizink, A. C., Mulder, E. J., de Medina, P. G. R., Visser, G. H., &
Buitelaar, J. K. (2004). Is pregnancy anxiety a distinctive syndrome?
Early Human Development, 79(2), 8191.
Jaffee, S. R., & Christian, C. W. (2014). The biological embedding of
child abuse and neglect implications for policy and practice. social
policy report. Volume 28, Number 1. Society for Research in Child
Development.
Kingston, D., Heaman, M., Fell, D., Dzakpasu, S., & Chalmers, B.
(2012). Factors associated with perceived stress and stressful life
events in pregnant women: findings from the Canadian Maternity
Experiences Survey. Maternal and Child Health Journal, 16(1),
158168.
Kramer, M. S., Lydon, J., Séguin, L., Goulet, L., Kahn, S. R., McNamara,
H., et al. (2009). Stress pathways to spontaneous preterm birth: the
role of stressors, psychological distress, and stress hormones.
American Journal of Epidemiology, 169(11), 13191326.
Li, G., Kong, L., Zhou, H., Kang, X., Fang, Y., & Li, P. (2016).
Relationship between prenatal maternal stress and sleep quality in
Chinese pregnant women: the mediation effect of resilience. Sleep
Medicine, 25,812.
Lieberman, A. F., Diaz, M. A., & Van Horn, P. (2009). Safer beginnings:
perinatal child-parent psychotherapy for newborns and mothers ex-
posed to domestic violence. Zero to Three (J), 29(5), 1722.
Littleton, H. L., Bye, K., Buck, K., & Amacker, A. (2010). Psychosocial
stress during pregnancy and perinatal outcomes: a meta-analytic
review. Journal of Psychosomatic Obstetrics and Gynecology,
31(4), 219228.
Lobel, M. (1994). Conceptualizations, measurement, and effects of pre-
natal maternal stress on birth outcomes. Journal of Behavioral
Medicine, 17(3), 225272.
Lobel, M., & Dunkel-Schetter, C. (2016). Pregnancy and prenatal stress.
In H. S. Friedman (Ed.), Encyclopedia of mental health (Vol. 3, 2nd
ed., pp. 318329). Waltham: Academic Press. https://doi.org/10.
1016/B978-0-12-397045-9.00164-6.
304 ADV RES SCI (2020) 1:295–305
Lobel, M., Cannella, D. L., Graham, J. E., DeVincent, C., Schneider, J., &
Meyer, B. A. (2008). Pregnancy-specific stress, prenatal health be-
haviors, and birth outcomes. Health Psychology, 27(5), 604615.
Logan-Greene, P., Green, S., Nurius, P. S., & Longhi, D. (2014). Distinct
contributions of adverse childhood experiences and resilience re-
sources: a cohort analysis of adult physical and mental health.
Social Work in Health Care, 53(8), 776797.
Lynn, F. A., Alderdice, F. A., Crealey, G. E., & McElnay, J. C. (2011).
Associations between maternal characteristics and pregnancy-
related stress among low-risk mothers: an observational cross-
sectional study. International Journal of Nursing Studies, 48(5),
620627.
Manyema, M., Norris, S. A., & Richter, L. M. (2018). Stress begets stress:
the association of adverse childhood experiences with psychological
distress in the presence of adult life stress. BMC Public Health,
18(1), 835.
Masten, A. S. (2001). Ordinary magic: resilience processes in develop-
ment. American Psychologist, 56(3), 227238.
Merrick, M. T., Ford, D. C., Ports, K. A., & Guinn, A. S. (2018).
Prevalence of adverse childhood experiences from the 2011-2014
behavioral risk factor surveillance system in 23 states. JAMA
Pediatrics, 172(11), 10381044.
Misra, D., Strobino, D., & Trabert, B. (2010). Effects of social and psy-
chosocial factors on risk of preterm birth in black women.
Paediatric and Perinatal Epidemiology, 24(6), 546554.
Morris, A., Hays-Grudo, J., Treat, A., Williamson, A., Roblyer, M., &
Staton, J. (2014). Protecting parents and children from adverse
childhood experiences (ACEs): preliminary evidence for the validity
of the PACEs. In Paper presented at the Society for Research in
Child Development Special Topic Meeting: new conceptualizations
in the study of parenting-at-risk. San Diego: CA.
Muthén, L. K., & Muthén,B. O. (1998-2017). Mplus usersguide(Eighth
ed.). Los Angeles: Muthén & Muthén.
Narayan, A. J., Bucio, G. O., Rivera, L. M., & Lieberman, A. F. (2016).
Making sense of the past creates space for the baby: perinatal child-
parent psychotherapy for pregnant women with childhood trauma.
Zero to Three, 36(5), 2228.
Narayan, A. J., Thomas, M., Nau, M., Rivera, L. M., Harris, W. W.,
Bernstein, R. E., et al. (2017). Between pregnancy and motherhood:
identifying unmet mental health needs in pregnant women with
lifetime adversity. Zero to Three, 37(4), 1423.
Nemeroff, C. B. (2004). Neurobiological consequences of childhood
trauma. The Journal of Clinical Psychiatry, 65(Suppl1), 1828.
Newbury, J. B., Arseneault, L., Moffitt, T. E., Caspi, A., Danese, A.,
Baldwin, J. R., & Fisher, H. L. (2018). Measuring childhood mal-
treatment to predict early-adult psychopathology: comparison of
prospective informant-reports and retrospective self-reports.
Journal of Psychiatric Research, 96,5764.
Nurius, P. S., Green, S., Logan-Greene, P., & Borja, S. (2015). Life
course pathways of adverse childhood experiences toward adult
psychological well-being: a stress process analysis. Child Abuse &
Neglect, 45,143153.
Olsen, J. M. (2018). Integrative review of pregnancy health risks and
outcomes associated with adverse childhood experiences. Journal
of Obstetric, Gynecologic & Neonatal Nursing, 47(6), 783794.
Oral, R., Ramirez, M., Coohey, C., Nakada, S., Walz, A., Kuntz, A.,
Benoit, J., & Peek-Asa, C. (2016). Adverse childhood experiences
and trauma informed care: the future of health care. Pediatric
Research, 79(1), 227233.
Pluess, M., Bolten, M., Pirke, K. M., & Hellhammer, D. (2010). Maternal
trait anxiety, emotional distress, and salivary cortisol in pregnancy.
Biological Psychology, 83(3), 169175.
Racine, N., Plamondon, A., Madigan, S., McDonald, S., & Tough, S.
(2018). Maternal adverse childhood experiences and infant develop-
ment. Pediatrics, 141(4), e20172495.
Roesch, S. C., Schetter, C. D., Woo,G., & Hobel, C. J.(2004). Modeling
the types and timing of stress in pregnancy. Anxiety, Stress, and
Coping, 17(1), 87102.
Seng, J. S., Sperlich, M., Rowe, H., Cameron, H., Harris, A., Rauch, S.
A., & Bell, S. A.(2011). Thesurvivor momscompanion: open pilot
of a posttraumatic stress specific psychoeducation program for preg-
nant survivors of childhood maltreatment and sexual trauma.
International Journal of Childbirth, 1(2), 111121.
Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., &
Bernard, J. (2008). The brief resilience scale: assessing the ability
to bounce back. International Journal of Behavioral Medicine,
15(3), 194200.
Sroufe, L. A. (2000). Early relationships and the development of children.
Infant Mental Health Journal, 21(12), 6774.
Sroufe, L. A. (2005). Attachment and development: a prospective, longi-
tudinal study from birth to adulthood. Attachment & Human
Development, 7(4), 349367.
Thomas,J.C.,Magel,C.,Tomfohr-Madsen,L.,Madigan,S.L.,
Letourneau, N. L., Campbell, T. S., et al. (2018). Adverse childhood
experiences and HPA axis function in pregnant women. Hormones
and Behavior, 102,1022.
Tusaie, K., & Dyer, J. (2004). Resilience: a historical review of the con-
struct. Holistic Nursing Practice, 18(1), 310.
Wheaton, B., & Montazer, S. (2010). Stressors, stress, and distress. In A
handbook for the study of mental health: Social contexts, theories,
and systems (pp. 171199).
Wright, M. O. D., Masten, A. S., & Narayan, A. J. (2013). Resilience
processes in development: Four waves of research on positive ad-
aptation in the context of adversity. In In Handbook of Resilience in
Children (pp. 1537). Springer.
Yali, A. M., & Lobel, M. (1999). Coping and distress in pregnancy: an
investigation of medically high risk women. Journal of
Psychosomatic Obstetrics and Gynecology, 20(1), 3952.
305ADV RES SCI (2020) 1:295–305
... Previous research has found that a history of adverse childhood experiences (ACEs) is strongly associated with high levels of stress (Manyema et al., 2018). Further, this relationship has also been found among pregnant mothers, such that exposure to ACEs is predictive of greater stress during pregnancy (Armans et al., 2020). Stress perception can also be influenced by personality (Ebstrup et al., 2011), and interestingly, previous research shows a connection between ACEs and personality traits (Hengartner, 2015;Moran et al., 2011;Allen & Lauterbach, 2007;Talbot et al., 2000). ...
... In the perinatal period, ACEs have been associated with adverse birth outcomes for both mothers and their offspring, including preterm birth and NICU hospitalization (Ciciolla et al., 2021), self-regulation difficulties (Gray et al., 2017), postpartum depression (McDonnell & Valentino, 2016) and insecure attachment (Berthelot et al., 2015). Moreover, research has consistently shown that experiencing adversity during childhood is associated with higher levels of stress during pregnancy (Hudziak, 2018;Racine et al., 2018), and there is evidence that stress associated with commonly challenging situations, including pregnancy-specific stress, may be exacerbated by ACEs history (Armans et al., 2020). ...
... Our results showed that as the number of ACEs increased, so did the level of perceived stress during pregnancy, with the 6 + ACE group endorsing the highest levels of stress. This finding lends support to literature documenting the associations between a history of ACEs and dysregulated maternal stress reactivity (Armans et al., 2020;Hudziak, 2018) and supports the hypothesis that ACEs may place individuals at greater risk for stress-related Table 3 Bivariate correlations among study variables Note. ACEs = Adverse Childhood Experiences total score (range 0-9). ...
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This study explores the role of personality traits in the relationship between maternal adverse childhood experiences (ACEs) and perceived stress during pregnancy. Pregnancy can be a stressful time for new mothers. ACEs have been associated with elevated levels of pregnancy stress, and have also been linked to the Big Five dimensions of personality, including a positive association with neuroticism. The Big Five have also been associated with perceptions of stress, and there is evidence to suggest that personality may be one mechanism through which ACEs disrupt psychosocial functioning during pregnancy. The sample included 177 pregnant girls and women (ages 15-40) from two prenatal clinics serving diverse and low-income patients. Participants completed online questionnaires on perceived stress, ACEs, and the Ten Item Personality Inventory. Results of a path analysis and test of mediation showed significant indirect effects from ACEs to perceived stress mediated independently by neuroticism and conscientiousness. Mothers with high ACEs reported higher neuroticism and lower conscientiousness, and in turn, experienced high levels of perceived stress during pregnancy. High neuroticism and low conscientiousness associated with early adverse experiences increase the risk for perceived stress during pregnancy. Screening for ACEs may help identify mothers at risk for perinatal stress and provide the opportunity for additional support for maternal emotion regulation and mental health.
... Thus, several investigations have discovered a negative association between resilience and anxiety during pregnancy (Lubián López et al., 2021), and between resilience towards stress and anxiety in other populations at the time of the pandemic (Braun-Lewensohn et al., 2021;Satici et al., 2020: Wang et al., 2021. Additionally, previous researches carried out before the pandemic have proven the protective role of resilience regarding these variables in the perinatal stage (Armans et al., 2020;García-León et al., 2019). ...
... Thus, our findings are in line with those provided by structural equation models in other studies. For example, they support those found by Armans et al. (2020), who showed that resilience negatively influenced pregnancy-specific stress, or those found by Peñacoba-Puente et al. (2016), which demonstrated how pregnancy worries had an impact on anxiety symptoms before the pandemic. The results provided by this model showed that resilience also acts as a buffering factor in relation to stress, pregnancy worries and anxious symptoms in women during their pregnancy before the COVID-19, and not only in times of crisis or great adversity. ...
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The present study explored and compared the link between resilience and pregnancy-related stress, perceived stress, and anxiety, employing two structural equation models. One model focused on pregnant women before the outbreak of the pandemic, and the other on pregnancies throughout the pandemic. For this purpose, a total sample of 690 women during their pregnancy were collected: the Pre-Pandemic Group (P-PG) was composed of 341 pregnant women evaluated prior to the pandemic; and 349 pregnant women assessed at the time of the pandemic constituted the Pandemic Group (PG). The resilience, pregnancy-related stress, perceived stress, and anxiety symptomatology of the women were assessed. For both samples, resilience was found to lower levels of pregnancy-specific stress, as well as general perceived stress, and anxiety symptomatology. Furthermore, pregnancy-specific stress and perceived stress showed a covariance relationship and, that these, in turn, increased the anxiety. Moreover, the PG showed greater levels of pregnancy-specific stress, anxiety, somatisa-tions, and obsessions-compulsions, while the P-PG presented higher perceived stress levels.
... This meta-analytic investigation provides evidence from 21 samples of pregnant women that the use of pregnancy-specific coping strategies differs by the characteristics of participants and by the circumstances of their pregnancies. Understanding how different groups of women cope with prenatal stress can inform the fit of stress-management interventions and thus enhance their success Mahaffey & Lobel, 2019) in promoting resilience among pregnant women (Alves et al., 2021;Armans et al., 2020). Results also confirm that the PCI and NuPCI are reliable tools to assess the ways that women cope with stress during pregnancy. ...
Article
Substantial research demonstrates that high stress during pregnancy is a potent risk factor for adverse maternal, infant, and child out- comes. Strategies to cope with prenatal maternal stress have the potential to alleviate or exacerbate stress impacts. Yet we lack suffi- cient understanding of how frequently pregnant women use various ways of adaptive and maladaptive coping and whether coping practi- ces differ by individual characteristics or by the circumstances of preg- nancy. This meta-analysis evaluated 21 studies of commonly used instruments that assess coping with prenatal stressors: the Prenatal Coping Inventory (PCI; k1⁄46) and its successor, the Revised Prenatal Coping Inventory (NuPCI; k1⁄415). Across studies, pregnant women used adaptive coping strategies most frequently: [Planning- ]Preparation and Spiritual-Positive coping. They used Avoidant coping least often. There were also differences in ways of coping by study tri- mester, racial and ethnic composition of samples, parity, and gravidity. Coping factors from the PCI and NuPCI exhibited good internal con- sistency in different countries and languages. Findings confirm that these instruments are reliable tools to assess prenatal coping and indicate that coping during pregnancy is influenced by individual and contextual factors. Understanding how women cope with prenatal stress can improve the ability of interventions to promote resilience.
... Stress experienced during pregnancy affects women's self-care capacity and healthy life behaviours (7). At the same time, the stress experienced during this period causes psychological consequences such as anxiety, depression, weak mother-baby attachment, as well as many physiological negative pregnancy and birth outcomes such as nausea-vomiting, constipation, sleep problems, premature birth, low birth weight, and intrauterine development (8)(9)(10)(11). ...
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This study was conducted to evaluate pregnancy stress and sleep quality according to trimester. The study, which was planned as a descriptive cross-sectional type, was carried out with 148 pregnant women. Data were collected using a personal information form, PSAS-36 and PSQI. Descriptive statistics, One Way ANOVA, Kruskal Wallis, Mann Whitney U, Independent Two Sample Test and were used in the analysis of the data. The total of 33.1% of the pregnant women were in the first trimester, 33.1% were in the 2nd trimester and 33.8% were in the 3rd trimester. There was no statistically significant difference between the mean PSAS-36 total scores of the pregnant women according to the trimester (p < 0.05). However, it was observed that there was a statistically significant difference between the mean PSQI scores of pregnant women according to trimester (p < 0.001). Poor sleep quality rates were 44.9% in the 1st trimester, 38.8% in the 2nd trimester & 64% in the 3rd trimester. A positive and significant correlation was found between the PSAS-36 and the total PSQI score (r: 0.246; p < 0.05). Increased total pregnancy stress score and being in the 3rd trimester of pregnancy is significantly increases the total score of PSQI (p: 0.001, p: 0.005). It was determined that the stress level of pregnant women was high in all three trimesters, and the worst sleep quality was experienced in the third trimester. Sleep quality decreases as the level of pregnancy stress increases and in the third trimester of pregnancy. It is recommended that midwives and nurses evaluate stress and sleep quality during pregnancy with objective tests and take interventions to reduce the stress level of pregnant women and increase sleep quality.Keywords: Pregnancy, Trimester, Pregnancy Stress, Sleep Quality
... Stress experienced during pregnancy affects women's self-care capacity and healthy life behaviours (7). At the same time, the stress experienced during this period causes psychological consequences such as anxiety, depression, weak mother-baby attachment, as well as many physiological negative pregnancy and birth outcomes such as nausea-vomiting, constipation, sleep problems, premature birth, low birth weight, and intrauterine development (8)(9)(10)(11). ...
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Full-text available
AbstractThis study was conducted to evaluate pregnancy stress and sleep quality according to trimester. The study, which was planned as a descriptive cross-sectional type, was carried out with 148 pregnant women. Data were collected using a personal information form, PSAS-36 and PSQI. Descriptive statistics, One Way ANOVA, Kruskal Wallis, Mann Whitney U, Independent Two Sample Test and were used in the analysis of the data. The total of 33.1% of the pregnant women were in the first trimester, 33.1% were in the 2nd trimester and 33.8% were in the 3rd trimester. There was no statistically significant difference between the mean PSAS-36 total scores of the pregnant women according to the trimester (p < 0.05). However, it was observed that there was a statistically significant difference between the mean PSQI scores of pregnant women according to trimester (p < 0.001). Poor sleep quality rates were 44.9% in the 1st trimester, 38.8% in the 2nd trimester & 64% in the 3rd trimester. A positive and significant correlation was found between the PSAS-36 and the total PSQI score (r: 0.246; p < 0.05). Increased total pregnancy stress score and being in the 3rd trimester of pregnancy is significantly increases the total score of PSQI (p: 0.001, p: 0.005). It was determined that the stress level of pregnant women was high in all three trimesters, and the worst sleep quality was experienced in the third trimester. Sleep quality decreases as the level of pregnancy stress increases and in the third trimester of pregnancy. It is recommended that midwives and nurses evaluate stress and sleep quality during pregnancy with objective tests and take interventions to reduce the stress level of pregnant women and increase sleep quality.Keywords: Pregnancy, Trimester, Pregnancy Stress, Sleep Quality
... RS is potentially useful in improving the P Introduction Materials and Methods health of pregnant women and their neonates (Jin, 2021). The higher adverse childhood experience associated with poorer women's mental health outcomes was found only among those with low levels of RS; these childhood negative impacts may be buffered by RS (Armans et al., 2020). Women with a high level of RS reported fewer symptoms of post-traumatic syndrome disorder, less depression, less fear of childbirth, and fewer additional traumas after birth (Young & Ayers, 2021). ...
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Background: Pregnancy causes inevitably significant psychological and physiological impacts on the woman. It causes high emotional changes and occasionally mental disturbances. These make pregnancy a period of life that requires the woman to have bio-psycho-social adjustments through good social support, quality of life, and resilience.
... Chung and colleagues (2008) reported that adults' recollections of positive childhood experiences were related to lower incidence of perinatal depression among women with low economic resources. In another study, protective childhood experiences promoted resilient functioning (e.g., reports of being able to recover from stressful circumstances) in prospective mothers and this resilience was associated with reductions in pregnancy-related stress (Armans, Addante, Ciciolla, Anderson, & Shreffler, 2020). Although research is limited, most investigations of positive childhood experiences (PCEs) have followed the research on ACEs, investigating effects on adult health (Crandall et al., 2019;Kosterman et al., 2011). ...
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Research on adverse childhood experiences demonstrates long-term implications of childhood abuse and family dysfunction for health and well-being in adulthood. The present study expanded prior research on the effects of adverse experiences in childhood to include community-based childhood adversities (e.g., community violence) and to investigate childhood adversities in relation to later parenting/maltreatment risk. We used a resilience framework to examine whether current resources (e.g., social support, community engagement) would buffer early adversity. A diverse U.S. sample (19% Black, 36% Hispanic, 37% White, non-Hispanic) of young mothers (approximately 700 at study enrollment) completed interviews and questionnaires at multiple timepoints during pregnancy and early parenting. Data focused on intrafamilial and community-based childhood adversity (e.g., abuse, mental illness, community violence), current protective factors (e.g., social support from peers, father of child, and family; neighborhood and community connections), and parenting maltreatment risk (e.g., parenting stress, Child Protective Services reports). Mothers reported considerable childhood adverse exposures (30% reported exposure to 7–11 adversities; 31% reported fewer than 3 adverse exposures); many also reported considerable protective factors (27% reported 4–7 protective factors); one-third reported having 0–1 protective resources. Latent Class Analysis (LCA) was used to identify patterns of adverse exposures and protective resources associated with parenting outcomes. Three patterns were identified: (1) Adversity with Low Protective Factors; (2) Supported Early Parenthood; and (3) Challenging Early Parenthood. Results highlight that current social support can buffer the effects of adversities experienced during childhood and may protect the next generation from similar adverse exposures.
... 17 Relatedly, recent research suggests that resilience (i.e., the ability to bounce back after stress) can serve as a protective factor in the relationship between ACE exposure and health issues during pregnancy. 12,32 A promising avenue may be directing ACEs exposed women to programs that helps build resilience in the face of adversity. Moreover, the promotion of family-level factors such as maternal responsiveness 33 or social support, 34 which have been found to moderate the effect of stressful life events -a construct closely related to ACEs-and promote resilience could potentially attenuate the negative impacts of ACEs on unwanted pregnancies. ...
Article
Purpose: The current study investigates the association between maternal adverse childhood experiences (ACEs) and having an unwanted (i.e., a pregnancy that was undesired) or mistimed pregnancy (i.e., a pregnancy that occurred sooner than wanted). Methods: Data are from the 2018 North Dakota and South Dakota Pregnancy Risk Assessment Monitoring System (PRAMS) (N = 1,897). Multinomial logistic regression analyses are used to assess the association between levels of ACE exposure and having an unwanted or mistimed pregnancy relative to an intended pregnancy. Results: Findings demonstrated that women with 3 ACEs (Relative Risk Ratio [RRR] = 2.157, 95% confidence interval [CI] = 1.121, 4.151) and 4 or more ACEs (RRR = 1.836, 95% CI = 1.181, 2.854) had approximately twice the relative risk of having an unwanted pregnancy (versus to an intended pregnancy) compared to women with 0 ACEs. There was no association between ACEs and reporting a mistimed pregnancy. Conclusions: These findings add to a burgeoning literature detailing how accumulating ACEs can create challenges for family planning by increasing the likelihood of having an unintended pregnancy. Study results suggest the need to devote greater resources to the prevention of ACEs and unintended pregnancies.
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Importance Early adversity is associated with leading causes of adult morbidity and mortality and effects on life opportunities. Objective To provide an updated prevalence estimate of adverse childhood experiences (ACEs) in the United States using a large, diverse, and representative sample of adults in 23 states. Design, Setting, and Participants Data were collected through the Behavioral Risk Factor Surveillance System (BRFSS), an annual, nationally representative telephone survey on health-related behaviors, health conditions, and use of preventive services, from January 1, 2011, through December 31, 2014. Twenty-three states included the ACE assessment in their BRFSS. Respondents included 248 934 noninstitutionalized adults older than 18 years. Data were analyzed from March 15 to April 25, 2017. Main Outcomes and Measures The ACE module consists of 11 questions collapsed into the following 8 categories: physical abuse, emotional abuse, sexual abuse, household mental illness, household substance use, household domestic violence, incarcerated household member, and parental separation or divorce. Lifetime ACE prevalence estimates within each subdomain were calculated (range, 1.00-8.00, with higher scores indicating greater exposure) and stratified by sex, age group, race/ethnicity, annual household income, educational attainment, employment status, sexual orientation, and geographic region. Results Of the 214 157 respondents included in the sample (51.51% female), 61.55% had at least 1 and 24.64% reported 3 or more ACEs. Significantly higher ACE exposures were reported by participants who identified as black (mean score, 1.69; 95% CI, 1.62-1.76), Hispanic (mean score, 1.80; 95% CI, 1.70-1.91), or multiracial (mean score, 2.52; 95% CI, 2.36-2.67), those with less than a high school education (mean score, 1.97; 95% CI, 1.88-2.05), those with income of less than $15 000 per year (mean score, 2.16; 95% CI, 2.09-2.23), those who were unemployed (mean score, 2.30; 95% CI, 2.21-2.38) or unable to work (mean score, 2.33; 95% CI, 2.25-2.42), and those identifying as gay/lesbian (mean score 2.19; 95% CI, 1.95-2.43) or bisexual (mean score, 3.14; 95% CI, 2.82-3.46) compared with those identifying as white, those completing high school or more education, those in all other income brackets, those who were employed, and those identifying as straight, respectively. Emotional abuse was the most prevalent ACE (34.42%; 95% CI, 33.81%-35.03%), followed by parental separation or divorce (27.63%; 95% CI, 27.02%-28.24%) and household substance abuse (27.56%; 95% CI, 27.00%-28.14%). Conclusions and Relevance This report demonstrates the burden of ACEs among the US adult population using the largest and most diverse sample to date. These findings highlight that childhood adversity is common across sociodemographic characteristics, but some individuals are at higher risk of experiencing ACEs than others. Although identifying and treating ACE exposure is important, prioritizing primary prevention of ACEs is critical to improve health and life outcomes throughout the lifespan and across generations.
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Background: Adverse childhood experiences (ACES) have been linked to poor health and well-being outcomes, including poor mental health such as psychological distress. Both ACEs and psychological distress pose a significant public health burden, particularly in low to middle income countries. Contemporaneous stress events in adulthood may also impact psychological distress. The aims of this study were to describe the prevalence of ACEs and psychological distress and to assess the separate and cumulative effect of ACEs on psychological distress, while accounting for the effect of adult stress. Methods: In this cross-sectional study, we used retrospectively measured ACEs from a sample of 1223 young adults aged between 22 and 23 years (52% female) from the Birth to Twenty Plus Study. Psychological distress and adult life stress were measured with a six-month recall period. Hierarchical logistic regression was employed to assess the associations between the exposures and outcome. Results: Nearly 90% of the sample reported at least one ACE and 28% reported psychological distress. The median number of ACEs reported was three (range 0-11). After accounting for demographic and socio-economic factors, all ACEs were individually associated with psychological distress except for parental divorce and unemployment. The individual ACEs increased the odds of PD by between 1.42 and 2.79 times. Compared to participants experiencing no ACEs, those experiencing one to five ACEs were three times more likely to report psychological distress (AOR 3.2 95% CI: 1.83-5.63), while participants who experienced six or more ACEs had nearly eight times greater odds of reporting psychological distress (AOR 7.98 95% CI: 4.28-14.91). Interaction analysis showed that in the absence of adult life stress, the effect of low ACEs compared to high ACEs on PD was not significantly different. Discussion and conclusion: The prevalence of ACEs in this young adult population is high, similar to other studies in young adult populations. A significant direct association exists between ACEs and psychological distress. Adult life stress seems to be a mediator of this relationship. Interventions targeted at psychological distress should address both early life adversity and contemporary stress.
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Both prospective informant-reports and retrospective self-reports may be used to measure childhood maltreatment, though both methods entail potential limitations such as underestimation and memory biases. The validity and utility of standard measures of childhood maltreatment requires clarification in order to inform the design of future studies investigating the mental health consequences of maltreatment. The present study assessed agreement between prospective informant-reports and retrospective self-reports of childhood maltreatment, as well as the comparative utility of both reports for predicting a range of psychiatric problems at age 18. Data were obtained from the Environmental Risk (E-Risk) Longitudinal Twin Study, a nationally-representative birth cohort of 2232 children followed to 18 years of age (with 93% retention). Childhood maltreatment was assessed in two ways: (i) prospective informant-reports from caregivers, researchers, and clinicians when children were aged 5, 7, 10 and 12; and (ii) retrospective self-reports of maltreatment experiences occurring up to age 12, obtained at age 18 using the Childhood Trauma Questionnaire. Participants were privately interviewed at age 18 concerning several psychiatric problems including depression, anxiety, self-injury, alcohol/cannabis dependence, and conduct disorder. There was only slight to fair agreement between prospective and retrospective reports of childhood maltreatment (all Kappa's ≤ 0.31). Both prospective and retrospective reports of maltreatment were associated with age-18 psychiatric problems, though the strongest associations were found when maltreatment was retrospectively self-reported. These findings indicate that prospective and retrospective reports of childhood maltreatment capture largely non-overlapping groups of individuals. Young adults who recall being maltreated have a particularly elevated risk for psychopathology.
Article
Background: Numerous studies over the past two decades have found a link between adverse childhood experiences (ACEs) and worse adult health outcomes. Less well understood is how advantageous childhood experiences (counter-ACEs) may lead to better adult health, especially in the presence of adversity. Objective: To examine how counter-ACEs and ACEs affect adult physical and mental health using Resiliency Theory as the theoretical framework. Participants and setting: Participants were Amazon mTurk users ages 19-57 years (N = 246; 42% female) who completed an online survey. Methods: We conducted a series of regression analyses to examine how counter-ACEs and ACEs predicted adult health. Results: Corresponding to the Compensatory Model of Resiliency Theory, higher counter-ACEs scores were associated with improved adult health and that counter-ACEs neutralized the negative impact of ACEs on adult health. Contrary to the Protective Factors Model, there was a stronger relationship between ACEs and worse adult health among those with above average counter-ACEs scores compared to those with below average counter-ACEs scores. Consistent with the Challenge Model, counter-ACEs had a reduced positive effect on adult health among those with four or more ACEs compared to those with fewer than four ACEs. Conclusions: Overall, the findings suggest that counter-ACEs protect against poor adult health and lead to better adult wellness. When ACEs scores are moderate, counter-ACEs largely neutralize the negative effects of ACEs on adult health. Ultimately, the results demonstrate that a public health approach to promoting positive childhood experiences may promote better lifelong health.
Objective: To identify pregnancy risk factors and outcomes associated with a woman's history of adverse childhood experiences (ACEs) and summarize what is known about routine screening for ACEs as part of prenatal care. Data sources: The Academic Search Premier, Academic Search Complete, CINAHL, Health Source: Nursing Academic Edition, MEDLINE, PsychINFO, and PubMed databases were searched. The terms adverse childhood experiences or ACEs, trauma informed care, and childhood trauma were each paired individually with the terms pregnancy or pregnant or prenatal or antenatal or perinatal or maternal; obstetrics; and maternal-child health. Study selection: Database and reference list searches resulted in 1,626 articles with 230 retained for full review and 17 included in the final sample. Studies were included if results were reported specific to pregnancy and ACEs as operationally defined in the ACE Study. Data extraction: Studies were evaluated for methodologic quality using Joanna Briggs Institute appraisal tools. Data were extracted with the matrix method. Tabular synthesis was used to cluster and compare findings and identify themes. Data synthesis: Five categories of pregnancy health risks and outcomes related to ACEs were identified: physiologic risk, psychologic risk, social risk, behavioral risk, and negative pregnancy outcomes. Limited research was found on routine screening for ACEs as part of prenatal care, but findings indicated women's support for ACE screening during prenatal appointments. Conclusion: Routine prenatal ACE screening may be accepted by women and may help identify significant pregnancy health risks. This could provide opportunities for interventions that improve pregnancy outcomes. More research is needed to determine the most effective and efficient methods to screen pregnant women for ACEs and intervene for those with high screening scores. To optimally advance science in this area, conceptual and operational clarity in ACE research is important. Nurses should be at the forefront of these research and practice translation efforts.
Article
The current study examined the association between maternal adverse childhood experiences (ACEs) and maternal hypothalamic-pituitary-adrenal (HPA) axis function during pregnancy. Maternal ACEs were evaluated in 356 pregnant women using a 10-item retrospective questionnaire of abuse, neglect, and household challenges experienced prior to the age of 18. Maternal diurnal cortisol was assessed across the first (0-13 weeks), second (14-27 weeks) and third (28-40 weeks) trimesters of pregnancy. Participants collected salivary cortisol at waking, waking +30min, 1100h, and 2100h on two consecutive days at each time point. Both cross-sectional and longitudinal analyses were conducted to gain insight into the overall association and the pregnancy-related changes in HPA axis function during pregnancy (i.e., cortisol awakening response (CAR), daytime slope, and total cortisol levels). Maternal ACEs were associated with altered diurnal cortisol pattern, including increased 30 min post waking levels and a flattened daytime slope. In early gestation, women with ≥4 ACEs had a 2.5 fold increase in the CAR compared to women with no exposure to ACEs. With advancing gestation, maternal ACEs were associated with steepening of the daytime cortisol slope. Relative to the beginning of pregnancy, women with no ACEs exposure had a 10% flattening of the daytime slope at 40 weeks gestation whereas women with ≥4 ACEs had a 17% steeper daytime slope. The findings suggest that maternal ACEs are associated with changes in maternal HPA axis function during pregnancy and this association may have implications for the intergenerational transmission of stress. Keywords: Adverse childhood experiences; HPA axis; pregnancy; intergenerational stress transmission
Article
Objectives: To examine the prenatal and postnatal mechanisms by which maternal adverse childhood experiences (ACEs) predict the early development of their offspring, specifically via biological (maternal health risk in pregnancy, infant health risk at birth) and psychosocial risk (maternal stress during and after pregnancy, as well as hostile behavior in early infancy). Methods: Participants were 1994 women (mean age = 31 years) and their infants, who were recruited in pregnancy as part of a prospective longitudinal cohort from 2008 to 2010. Pregnant women completed self-report questionnaires in pregnancy and postpartum related to psychosocial risk and a questionnaire about hostile behavior when their infant was 4 months of age. Health risk in pregnancy and infant health risk at birth were obtained from health records. Mothers completed the Ages and Stages Questionnaire when infants were 12 months of age. Results: Path analysis revealed that the association between maternal ACEs and infant development outcomes at 12 months operated through 2 indirect pathways: biological health risk (pregnancy health risk and infant health risk at birth) and psychosocial risk (maternal psychosocial risk in pregnancy and maternal hostile behavior in infancy). Conclusions: Psychosocial risks in pregnancy, but not in early infancy, contribute to the transmission of vulnerability from maternal ACEs to child development outcomes in infancy via maternal behavior. Maternal health risk in pregnancy indirectly confers risk from maternal ACEs to child development outcomes at 12 months of age through infant health risk. Maternal health and psychosocial well-being in pregnancy may be key targets for intervention.
Article
Introduction: Adverse childhood experiences (ACE) result in somatic and mental health disturbances. Its influence on antenatal depression is scarcely studied. This study examined the association between experience of ACE and antenatal depressive symptomatology. Material and methods: 1257 women from 172 antenatal clinics in Sweden were surveyed during pregnancy and one year after delivery. Demographics, previous medical history and Edinburgh Postpartum Depression Scale (EPDS) were collected in pregnancy and postpartum and ACE one year postpartum. ACEs were partitioned into 10 categories. Statistical analyses used linear and logistic regression with EPDS score as main outcome measure. Results: 736 (58.6%) women reported at least one ACE category and 88 women (7%) reported five or more ACE categories. An EPDS score of ≥13, which qualifies for a probable depression diagnosis, was reported by 277 (23%) women. In simple regression analyses the EPDS score was positively associated with the number of ACEs, cigarette smoking before pregnancy, body mass index and psychiatric disorders while education level was inversely associated. In a multiple regression analysis ACEs, education level and psychiatric disorder remained associated to the EPDS score. Among women with an ACE score ≥5 the odds ratio of having an EPDS score indicating probable depression was 4.2 (CI; 2.5-7.0). Conclusions: ACE was commonly reported. ACE and depressive symptomatology in late pregnancy were strongly associated in a dose-response manner. Women with several ACEs had high odds of depressive symptomatology in late pregnancy and were more likely to report depressive symptoms both in late pregnancy and postpartum. This article is protected by copyright. All rights reserved.