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Biopsychosocial Processes of Health and Disease During the COVID-19 Pandemic

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Abstract

The biopsychosocial model provides a useful perspective for understanding the development and characteristics of the COVID-19 pandemic and its anticipated long-term consequences for society as well as individuals. This article provides a biopsychosocial perspective on the COVID pandemic and an editorial comment on the articles in this Special Issue of Psychosomatic Medicine. Based on analysis of the PubMed database, it is shown that the attention to psychological and social factors is 74% higher in COVID-19-related articles compared to all other health-related scientific articles published during the same time-period (between 1/1/2020 and 4/18/2021). Specifically, 18.6% of the ≈123,500 articles addressing COVID-19-related topics also included psychological or social factors in their content vs. 10.7% of articles that did not address COVID-19. The biopsychosocial model is relevant to understanding the interrelationships among risk factors and the multidimensional clinical and psychosocial COVID-19 outcomes. Clinical outcomes directly related to COVID-19 range from severe but rare events (mortality and intensive care treatment) to less severe common outcomes such as positive screening tests for COVID-19 with or without symptoms. In addition, psychosocial outcomes range in severity from frequently observed reduced psychological wellbeing to less common clinical mood and anxiety disorders and, in rare cases, suicidality. The COVID-19 pandemic is characterized by an unusually strong and short-term link between social factors and biological aspects of the disease, without mediating psychological factors. After a review of the articles presented in this Special Issue, this editorial concludes with suggestions for biopsychosocial models in research on COVID-19 and other large-scale health threats.
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Biopsychosocial Processes of Health and Disease
During the COVID-19 Pandemic
Willem J. Kop, PhD
ABSTRACT
The biopsychosocial model provides a useful perspective for understanding the development and characteristics of the COVID-19 pandemic
and its anticipated long-term consequences for society as well as individuals. This article provides a biopsychosocial perspective on the
COVID pandemic and an editorial comment on the articles in this Special Issue of Psychosomatic Medicine. Based on analysis of the PubMed
database, it isshown that the attention to psychological and social factors is 74% higher inCOVID-19-related articles compared to all other
health-related scientific articles published during the same time-period (between 1/1/2020 and 4/18/2021). Specifically, 18.6% of the
123,500 articles addressing COVID-19-related topics also included psychological or social factors in their content vs. 10.7% of articles
that did not address COVID-19. The biopsychosocial model is relevant to understanding the interrelationships among risk factors and the
multidimensional clinical and psychosocial COVID-19 outcomes. Clinical outcomes directly related to COVID-19 range from severe but
rare events (mortality and intensive care treatment) to less severe common outcomes such as positive screening tests for COVID-19 with or
without symptoms. In addition, psychosocial outcomes range in severity from frequently observed reduced psychological wellbeing to
less common clinical mood and anxiety disorders and, in rare cases, suicidality. The COVID-19 pandemic is characterized by an unusually
strong and short-term link between social factors and biological aspects of the disease, without mediating psychological factors. After a
review of the articles presented in this Special Issue, this editorial concludes with suggestions for biopsychosocial models in research
on COVID-19 and other large-scale health threats.
Key words: biopsychosocial, COVID-19, psychology, social factors, behavior, risk factors, corona virus, review.
The COVID-19 pandemic is characterized by strong interactions
among biological, psychological and social processes. The
biopsychosocial model (1) is therefore critically important to the
understanding of health risks and disease consequences of the
COVID-19 pandemic. Biopsychosocial approaches are also useful
to optimize preventive strategies targeting exposure and vulnerability
to COVID-19 as well as the development and improvement of
immediate and long-term interventions. These contributions can
take place at the population level and also in the treatment of
individuals infected with the virus. In this editorial, a perspective
is presented on: (1) the exponential growth in the published
scientific literature addressing the COVID-19 pandemic and its
social and psychological aspects; (2) the social, psychological,
and biological components of the biopsychosocial model as related
to COVID-19; and (3) a summary of the articles that appear in
this Special Issue of Psychosomatic Medicine on COVID-19.
The scientific literature addressing COVID-19-related issues
has grown exponentially since the emergence of the virus at the
end of 2019. The social and behavioral sciences have added signif-
icantly to this literature, including work from experts in psychoso-
matic medicine, health psychology, and behavioral medicine. To
illustrate the magnitude of the scientific contributions in this area,
the PubMed database was searched on the terms (corona OR
covid), which revealed a total of approximately 123,500 articles
for the period from January 1, 2020, through April 18, 2021, indi-
cating that circa 7% of all 1,900,000 biomedical scientific publi-
cations in that period have in some way addressed the COVID-19
pandemic. Limiting this search to articles that also address social
or psychological factors (i.e., adding AND (psychol* OR social*)
to the search terms) resulted in a total of 22,944 remaining articles,
suggesting that more than 1 in 6 (18.6%) articles about COVID-19
also included psychological or sociological content. This is substan-
tially higher (i.e., 74%) than the number of papers with a focus on
social or psychological factors included in the PubMed database
that did not address COVID-19-related issues (about 1 in 10) in
the same time period (212,219/(1,900,000123500) = 10.7%).
However, specific mention of the biopsychosocial perspective
was relatively rare, with only 81 articles mentioning the term in
the title or abstract and 16 in the title (e.g., (2,3)), which can be used
as an overall index of how central the topic was in the article. These
numbers, although not reflecting a formal literature search, indicate
that the behavioral and social sciences have added substantially
From the Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands; Center of Research on Psychology and Somatic
diseases (CoRPS), Tilburg, the Netherlands.
Address correspondence to Willem J. Kop, PhD, Department of Medical and Clinical Psychology P.O. Box 90153 5000 LE Tilburg the Netherlands.
E-mail: w.j.kop@tilburguniversity.edu
Received for publication April 23, 2021; revision received April 27, 2021.
DOI: 10.1097/PSY.0000000000000954
Copyright © 2021 by the American Psychosomatic Society
COVID = corona virus disease, PTSD = post-traumatic stress
disorder
EDITORIAL COMMENT
Psychosomatic Medicine, V 83 304-308 304 May 2021
Copyright © 2021 by the American Psychosomatic Society. Unauthorized reproduction of this article is prohibited.
to the scientific literature on the COVID-19 pandemic and that a
biopsychosocial perspective might add important insights into
the prevention and treatment of the short-term disease complica-
tions and its long-term consequences.
Figure 1 presents a conceptual model based on biopsychosocial
research over the past 50 years since the term was coined by
Dr. George L. Engel in 1977 (1) and incorporating recent work
on the social and psychological factors that play a role in the
COVID-19 pandemic. The biopsychosocial factors displayed in
the left part of the figure result in exposure and vulnerability factors
for adverse COVID-19 outcomes. The clinical COVID-19 outcomes
(middle part) range from relatively rare severe disease manifestations
such as mortality and intensive care treatment, to more common
and less severe outcomes (e.g., a positive screening test for
COVID-19 with or without signs or symptoms of infection). The
psychosocial outcomes also range in severity from relatively rare
events (e.g., suicidality (4)) to clinical psychological outcomes
such as mood and anxiety disorders (5), poor sleep (6), burnout
and exhaustion (particularly among health care workers) (7), to
very common but less severe outcomes (e.g., high levels of
perceived stress and reduced psychological well-being) (see also
articles in this issue of the journal). Psychological outcomes of
COVID-19 can further increase the risk or severity of its clinical
manifestations. The COVID-19 pandemic is not limited to short-term
consequences; it is increasingly clear that adverse long-term effects
can be expected (right part of the figure), which also have biological,
psychological and social aspects. These include adverse economic
consequences at the societal and individual level, including
increased socioeconomic disparities, reduced education (8) and
employment opportunities (9), post stress-related psychological
disorders and symptoms (10) and, importantly, post-viral infection
symptoms (11,12) (e.g., fatigue, poor sleep, respiratory problems,
cognitive problems such as poor concentration, memory, and
sustained attention).
Social factors are associated with adverse COVID-19 outcomes
(13,14). The effects of these social factors on the likelihood of
contracting COVID-19 infection and worse clinical outcomes are
unusually strong and short-term, in contrast to most other contexts
in which the link between social factors and the manifestation of
disease outcomes typically takes years to decades. Large-scale
(macro) social factors (e.g., laws and regulations) have direct
consequences for the biological aspects of the infectious disease,
including virus exposure, individual exposure and access to optimal
medical care. National and local governments play essential roles
in preventive strategies, vaccination programs, and resource
allocations to hospitals and other health care facilities (see
Figu re 1). There is an increasing need for international collaboration
in areas such as travel, trade, production and access to vaccines,
information exchange, and other areas to reduce the threats associated
with the COVID-19 pandemic. In addition, the standard application
of the biopsychosocial model focuses on the per levelapproach
linking the various levels of the model, for example, factors at the
social level are assumed to influence factors at the individual
psychological and behavioral level and these individual factors
in turn influence the individuals biological processes. However,
the COVID-19 pandemic is characterized by unusually strong
and short-term links between societal factors to biological factors
relevant to disease vulnerability, thereby partly skippingthe
step of mediation via individual psychological factors. The role
of behavioral factors (e.g., physical or social distancing and
FIGURE 1. The biopsychosocial model as related to clinical and psychosocial outcomes of COVID-19. The left part shows the social,
psychological and biological components of the biopsychosocial model, the middle part displays the COVID-19 clinical and
psychological outcomes, with rare events at the top of the triangles and more common events at the base. The right part displays the
long-term outcomes after the acute phase of COVID-19 has passed (see text for additional details).
Biopsychosocial Factors and COVID-19 Outcomes
Psychosomatic Medicine, V 83 304-308 305 May 2021
Copyright © 2021 by the American Psychosomatic Society. Unauthorized reproduction of this article is prohibited.
other COVID-19 protective behaviors) in this context is critically
important and is related to social, cultural, and individual
personality factors (see Hall et al. in this issue of Psychosomatic
Medicine (15).
Psychological factors are part of the individual personlevel
of the biopsychosocial model (1), including experiences (e.g.,
affect and cognitions) and behaviors. The COVID-19 pandemic
is associated with perceived threat, experiences of loss, loneliness/
social isolation and lack of control. These individual psychological
experiences can lead to outcomes ranging from elevated levels of
general psychological distress and reduced well-being to severe
psychopathology and suicidality (4). These psychological outcomes
can be a reaction to having COVID-19 (Figure 1, middle part), but
more often result from the multiple macro-social consequences of
COVID-19 which have had a substantial impact on smaller social
groups (i.e., schools, universities, religious groups, professional and
non-professional associations, etc.), families and groups of close
friends (i.e., the link between biopsychosocial factors with
COVID-19 outcomes in Figure 1). For example, government-based
interventions to curtail the COVID-19 pandemic involve major
changes to societal processes, including restrictions on social
behavior, lockdowns, curfews, closing of businesses, reduction
of public transportation and (international) travel. These government-
based interventions can result in psychological distress because
of their direct consequences on daily life and also because they
are sometimes not consistent with the legal rights or usual customs
of individuals and groups and enforced by short-term laws and
regulations that might not have gone through the usual evaluation
processes. Adverse COVID-19-related psychosocial outcomes can
additionally be exacerbated by individual psychological
vulnerability factors such as personality, early life adversity, and
genetic factors. The long-term consequences of social isolation
following government-initiated regulations (e.g., lack of visitors
in nursing homes, restriction to the home in families where
violence is a problem), and job loss are difficult to quantify at
this stage, but are likely to resonate for a long time. The
psychological outcomes of the COVID-19 pandemic also include
non-social factors, such as perceived threat related to fear of becoming
infected, distress associated with actually contracting the disease,
and worries about long-term post-COVID-19 disease-related
factors such as fatigue or other persisting symptoms and cognitive
problems (i.e., post-viral syndromes).
Behavioral factors play an important role in COVID-19, at
the individual person levelas well as higherlevels of the
biopsychosocial model (i.e., the behaviors of family members,
friends, and larger groups; for a review see (15)). Two behavioral
domains are particularly relevant to COVID-19. In the first place,
behaviors specific to COVID-19 including social distancing,
minimizing travel, adhering to protective measures such as
wearing masks and hand washing, staying home and/or getting
tested when symptomatic, and getting vaccinated. These behav-
iors are critically important in pandemics as they influence ex-
posure to and spreading of the virus. Individual differences in
these behaviors depend on social, cultural and psychological
factors. A second domain of COVID-19-relevant behaviors in-
cludes health-related behaviors such as smoking, poor dietary
habits and suboptimal weight management, and overuse of al-
cohol and/or other substances. Evidence also suggests that be-
haviors such as physical activity and adequate sleep can
reduce the risk of COVID-19 as they have beneficial effects
on the biology of the disease.
The biological processes involved in COVID-19 are complex
and described in more detail elsewhere (15). In brief, the virus
responsible for the COVID-19 pandemic, the severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), is unusually contagious
and can result in severe and life-threatening conditions, primarily
affecting the respiratory system. However, the occurrence of clinically
severe outcomes is relatively rare compared to other high-risk
viral epidemics, and the main threat is the spread of the disease
and the lack of sufficient hospital capacity to treat the number of
patients that end up developing life-threatening conditions.
High-risk groups for adverse COVID-19 progression include
individuals with low socioeconomic resources, minority groups,
individuals with chronic medical conditions, including diabetes
mellitus, individuals with obesity, among others. In addition to
these general risk factors, psychoneuroimmunology research has
shown that high levels of psychological distress are associated
with impaired functioning of the immune system (16) and autonomic
nervous system dysregulation (5). Systematic laboratory research
by Cohen and colleagues found that, when young adults are
exposed to a cold or influenza virus that typically causes respiratory
complaints, those with high levels of psychological distress, current
smokers, and individuals with suboptimal intake of vitamin C,
experienced more respiratory problems when monitored in
quarantine (in groups of participants) for up to 6 days (17). In
contrast, usual physical activity levels, adequate and efficient
sleep, moderate alcohol intake, social integration, and perceived
social support were associated with a lower risk of respiratory
problems (17). Of particular relevance to COVID-19 is the
reduced anti-viral response among individuals with depression
or other psychological conditions associated with high levels of
distress (18). Furthermore, evidence has shown that psychological
distress may adversely affect the response to vaccines (19,20), but
current evidence supporting benefits of psychological interventions
to enhance the antibody response to vaccination is limited (21).
The role of genetic factors and gene-environment interactions in
this context still needs systematic investigation.
In this special issue of Psychosomatic Medicine, a series of ar-
ticles is presented in which biopsychosocial risk factors and out-
comes of COVID-19 play a central role. Hall and colleagues (15)
provide a comprehensive review of the biological characteristics of
COVID-19 and discuss critical behavioral aspects of exposure and
vulnerability to adverse clinical outcomes. The authors summarize
critical evidence supporting the association of affective, cognitive,
behavioral, and socioeconomic factors with the spread of infection,
response precautions, and outcomes of government-based
mitigation measures.Individuals living with severe mental
illness and/or chronic medical diseases are at high risk of adverse
outcomes, and the authors show that technological innovations
might prove useful in improving outcomes and reducing COVID-
19-related risks. In a cross-sectional study by Wang and colleagues
(22) the affective consequences of COVID-19 are documented in
Wuhan, China, where the first major adverse consequences of
the COVID-19 pandemic occurred. This team, being at the core
of the early phases of the pandemic, documented that participants
from Wuhan had a higher prevalence of mental health problems
compared to participants from other parts of China (46.6% vs.
32.2%; covariate-adjusted odds ratio (OR) = 1.89, 95% confidence
EDITORIAL COMMENT
Psychosomatic Medicine, V 83 304-308 306 May 2021
Copyright © 2021 by the American Psychosomatic Society. Unauthorized reproduction of this article is prohibited.
interval (CI) = 1.652.17), with the highest risk for anxiety (15.2% vs.
6.2%; OR = 2.65, 95%CI = 2.143.29) and depression (18.3% vs.
9.7%; OR = 2.11, 95%CI = 1.742.54). The prevalence of suicidal
ideation during the COVID-19 epidemic in Wuhan was 10.5%.
Only 7.1% of participants reported seeking help for mental
health issues and 3.5% received treatment. Results from the UK
revealed consistent findings, as shown by Pieh and colleagues
(23), with more mental health problems in individuals younger
than 35 years, women, people with no work, and people with
low income. During COVID-19, several groups are at high risk
of mental health problems, and Bo and colleagues (24) showed
that pregnancy was associated with high levels of depression,
particularly among women who experienced delays in prenatal
care as a consequence of COVID-19-related limitations in prenatal
care resources. Jowett et al. (25) found that of the post-traumatic
symptom clusters that develop in response to COVID-19, a
sense of threat was most strongly related to somatic complaints.
The association between post-traumatic stress disorder (PTSD)
and psychophysiological risk factors is addressed in a study by
Ginty and colleagues (26). This intriguing study found that heart
rate reactivity to a mental challenge task predicted subsequent
PTSD symptoms of intrusion and hyperarousal, but not avoidance,
whereas no associations with blood pressure reactivity were found.
Bourassa et al. (27) used novel technologies (large-scale GPS
tracking) to determine the effects of government-issued stay-at-
home orders on physical movement (i.e., remaining within 1 mile
of home and overall vehicle miles driven per day). It was found
that these orders resulted in corresponding changes in mobility,
but the magnitude of these changes was relatively minor. Willroth
et al. (28) showed that the personality factor agreeableness was
associated with compliance to government-issued behavioral
guidelines.
The studies in this Special Issue mentioned so far focused on
individuals in the general population. When examining patients
admitted for clinically severe COVID-19 in Wuhan, Li et al. (29)
found high levels of anxiety (56.3%) and depression (39.3%),
with female sex, widowhood, and COVID-19 disease duration as
potential risk factor for both conditions. In addition to patients
with COVID-19, health care workers who take care of severely
ill patients also experience reduced psychological well-being and
a higher prevalence of psychological disorders, possibly resulting
from high levels of psychological strain. Wang et al. (30) found
that acute stress disorder is common (38.3%) among health
professionals in Wuhan. Acute stress disorder was also associated
with physical symptoms (30). High levels of psychological
distress were also reported in primary care physicians during the
peak of the COVID-19 epidemic in Chengdu city, province of
Sichuan, China as shown by Zeng et al. (31). High levels of
distress were related to perceived low preparedness and high
levels of work and personal life impact. A systematic review of
35 articles by Yan et al. (32) covering data from 25,343 health
care professionals indicated that fear-related symptoms (67%)
and high levels of perceived stress (56%) were the most commonly
reported psychological problems, followed by anxiety symptoms
(41%), insomnia (41%), post-traumatic stress disorder symptoms
(38%), depressive symptoms (27%), and somatic symptoms (16%).
In aggregate, the findings reported in this Special Issue of
Psychosomatic Medicine indicate a high prevalence of mental
health and other psychosocial problems during the COVID-19
pandemic, particularly among young adults and individuals with
low socioeconomic resources in the general population, patients
hospitalized with COVID-19 symptoms, and (frontline) health
care professionals. Anxiety and a sense of COVID-19 related
threat may increase the risk of developing somatic symptoms in
general, and possibly corona virus infection-related symptoms.
Elevated autonomic nervous system responsiveness to mental
stressors may further increase the risk of developing mental health
problems. Individuals who experience mental health problems
during the COVID-19 pandemic may also have an increased risk
of developing long-term post-COVID-19 adverse mental and
physical health outcomes and future studies are needed to evaluate
whether these high-risk groups could benefit from early intervention
programs.
This selective review highlights the importance of the
biopsychosocial model in optimizing the response to the COVID-19
pandemic. Although this model has been criticized as being too
vague, insufficiently specific on how the three main factors of
the model interact, and inadequately considering an individuals
subjective/personal experiences (e.g., (33)), the biopsychosocial
model remains a valuable alternative to the biomedical model it
intended to expand upon (34). In addition, models focusing on
social and structural determinants of health (e.g., as proposed by
the World Health Organization) could be considered as additional
perspectives on the COVID-19 pandemic because they are more
explicit about macro-social factors. However, the biopsychosocial
model also specifically addresses these higher order
socioeconomic and cultural levels in addition to the biological,
psychological and social factors mentioned in this article. For
example, it is possible that collectivistic cultures and also countries
with a relative totalitarian government structure are better equipped
than individualistic cultures and democratically organized countries
to efficiently respond to the social challenges related to a large-scale
infectious epidemic such as COVID-19. At the biosphere leveli.e.,
the top levelof the biopsychosocial modelit has been found
that air pollution was reduced at the peak of lockdown and travel
restriction (35). The COVID-19 pandemic has created enormous
suffering worldwide, causing high levels of distress, substantial
societal, and individual disease burden, and already over
3 million deaths in the 15 months after the report of the first
cases in December 2019. Despite the clearly devastating effects,
there have also been a few positive points related to the COVID-19
pandemic (36), including the increased use of the internet for social
communication and connectedness (37) and major advances in the
application and progress of telecommunication, telemedicine, and
telemonitoring (for example, (38)). These positive aspects also
have biopsychosocial underpinnings and are essential in promoting
resilience at the societal and individual level. Research methods
other than cross-sectional designs are needed to unravel the role of
biopsychosocial processes in large-scale public health threats. The
behavioral subcomponent of the biopsychosocial model is of
particular importance in infectious disease pandemics (see Figure 1),
The negative consequences of the COVID-19 pandemic far
outweigh the positive ones and the major effects of psychosocial
factors, such as social isolation, on health make it clear that the
biomedical model is not sufficient to fully understand patterns of
health and well-being, illness and disease risks. Social and
psychological determinants of health are increasingly incorporated
in the diagnosis and treatment of diseases in clinical care settings,
Biopsychosocial Factors and COVID-19 Outcomes
Psychosomatic Medicine, V 83 304-308 307 May 2021
Copyright © 2021 by the American Psychosomatic Society. Unauthorized reproduction of this article is prohibited.
and the COVID-19 pandemic will likely accelerate the attention
paid to biopsychosocial factors in routine health care. It is likely
that the COVID-19 pandemic will have long-term adverse outcomes
and not be the last infectious large-scale health challenge that
requires an integrated global response. The present experiences and
scientific findings emphasizing the importance of biopsychosocial
factors in COVID-19 should help preparedness and effective
responsiveness to future large-scale health threats.
Dr. Deborah N. Ader provided very helpful suggestions on an
earlier version of this paper.
Source of Funding and Conflicts of Interest: The present re-
search was supported by the Dutch Research Council, The Hague,
the Netherlands (project NWO # 440.20.039). The author reports
no conflicts of interest.
REFERENCES
1. Engel GL. The need for a new medical model: A challenge for biomedicine. Sci-
ence 1977;196:12936.
2. Chigangaidze RK. Risk factors and effects of the morbus:COVID-19 through the
biopsychosocial model and ecological systems approach to social work practice.
Soc Work Public Health 2021;36:98117.
3. Leonardi M, Lee H, van der Veen S, Maribo T, Cuenot M, Simon L, Paltamaa J,
Maart S, Tucker C, Besstrashnova Y, Shosmin A, Cid D,Almborg AH, AnttilaH,
Yamada S, Frattura L, Zavaroni C, Zhuoying Q, Martinuzzi A, Martinuzzi
M, Magnani FG, Snyman S, El Oumri AA, Sylvain N, Layton N, Sykes C,
Saleeby PW, Winkler AS, de Cam argo OK. Avoiding the ban ality of evil in times
of COVID-19: Thinking differently with a biopsychosocial perspective for future
health and social policies development. SN Compr Clin Med 2020;13.
4. Banerjee D, Kosagishara f JR, Sathyanarayana Rao TS. The dual pandemicof sui-
cide and COVID-19: A biopsychosocial narrative of risks and prevention. Psychia-
try Res 2021;295:113577.
5. Dedoncker J,Vanderhasselt MA, Ottaviani C, Slavich GM. Mental health during
the COVID-19 pandemic and beyond: The importance of the vagus nerve for
biopsychosocial resilience. Neurosci Biobehav Rev 2021;125:110.
6. Dzierzewski JM, Dautovich ND, Ravyts SG, Perez E, Soto P, Donovan EK. Insom-
nia symptoms during the COVID-19 pandemic: An examination of biopsyc hosocial
moderators. Sleep Med 2021. doi: 10.1016/j.sleep.2021.02.018.
7. Sanghera J, Pattani N, Hashmi Y, Varley KF, Cheruvu MS, Bradley A, Burke JR.
The impact of sars-cov-2 on the mental health of healthcare workers in a hospital
setting-a systematic review. J Occup Health 2020;62:e12175.
8. The Lancet. COVID-19: The intersection of education and health. Lancet 2021;
397:253.
9. Rosén M, Stenbeck M. Interventions to suppress the coronavirus pandemic will
increase unemployment and lead to many premature deaths. Scand J Public Health
2021;49:648.
10. Xiong J, Lipsitz O, Nasri F, Lui LMW, Gill H, Phan L, Chen-Li D, Iacobucci M,
Ho R, Majeed A, McIntyre RS. Impact of COVID-19 pandemic on mental health
in the general population: A systematic review. J Affect Disord 2020;277:5564.
11. Writing Committee for the COMEBAC Study Group, Morin L, Savale L, Pham T,
Colle R, Figueiredo S, Harrois A, Gasnier M, Lecoq AL , Meyrignac O, Noel N,
Baudry E, Bellin MF, Beurnier A, Choucha W, Corruble E, Dortet L, Hardy-Leger
I, Radiguer F, Sportouch S, Verny C, Wyplosz B, Zaidan M, Becquemont L,
Montani D, Monnet X. Four-month clinical status of a cohort of patients after hos-
pitalization for COVID-19. JAMA 2021;325:152534.
12. Huang C, HuangL, Wang Y, Li X, Ren L, Gu X, Kang L, GuoL, Liu M, Zhou X,
Luo J, Huang Z, Tu S, Zhao Y, Chen L, Xu D, Li Y, Li C, Peng L, Li Y, Xie W,
Cui D, Shang L, Fan G, Xu J, Wang G, Wang Y, Zhong J, Wang C, Wang
J, Zhang D, Cao B. 6-month consequences of COVID-19 in patients
discharged from hospital: A cohort study. Lancet 2021;397:22032.
13. Mishra V, Seyedzenouzi G, Almohtadi A, Chowdhury T, Khashkhusha A, Axiaq
A, Wong WYE, Harky A. Health inequalities during COVID-19 and their effects
on morbidity and mortality. J Healthc Leadersh 2021;13:1926.
14. Prati G, Mancini AD. The psychological impact of COVID-19 pandemic lock-
downs: A review and meta-analysisof longitudinal studies and natural experiments.
Psychol Med 2021;51:20111.
15. Hall PA, Sheeran P, Fong GT, Cheah CSL, Oremus M, Liu-Ambrose T, Sakib
MN, Butt Z, Ayaz H, Jandu N, Morita PP. Biobehavioral aspects of the
COVID-19 pandemic: A review. Psychosom Med 2021;83:30921.
16. Miller G, Chen E, Cole SW. Health psychology: Developing biologically plausi-
ble modelslinking the social world and physicalhealth. Annu Rev Psychol 2009;
60:50124.
17. Cohen S. Psychosocial vulnerabilities to upper respiratory infectious illness: Im-
plications for susceptibility to coronavirus disease 2019 (COVID-19). Perspect
Psychol Sci 2021;16:16174.
18. Slavich GM, Irwin MR. From stress to inflammation and major depressive disor-
der: A soc ial signal t ransduct ion theor y of depression. Psych ol Bull 2014;140:
774815.
19. Glaser R,Sheridan J, MalarkeyWB, MacCallum RC, Kiecolt-GlaserJK. Chronic
stress modulates the immune response to a pneumococcal pneumonia vaccine.
Psychosom Med 2000;62:8047.
20. Madison AA, Shrout MR, Renna ME, Kiecolt-Glaser JK. Psychological and be-
havioral predictors of vaccine efficacy: Considerations for COVID-19. Perspect
Psychol Sci 2021;16:191203.
21. Vedhara K, Ayling K, Sunger K, Caldwell DM, Halliday V, Fairclough L, Avery
A, RoblesL, Garibaldi J, Welton NJ, RoyalS. Psychologicalinterventions asvac-
cine adjuvants: A systematic review. Vaccine 2019;37:325566.
22. Wang Q, Feng H, Wang M, Xie Y, Hou B, Lu X, LiuZ, Ouyang K, Zhang R, Cai
Q, Xu Z, Li H, Chao H, Yang X, Hong Y, Hu X, Liu Z, Liu Y. Mental health and
psychological responses during the coronavirus disease 2019 (COVID-19) epi-
demic: A comparison between wuhan and other areas in China. Psychosom Med
2021;83:3227.
23. PiehC,BudimirS,DelgadilloJ,BarkhamM,FontaineJRJ,ProbstT.Mental
health during COVID-19 lockdown in the united kingdom. Psychosom Med
2021;83:32837.
24. BoHX,YangY,ChenJ,ZhangM,ZhangDY,LiY,LiR,CheungT,NgCH,Wu
XJ, Xiang YT. Prevalence of depressive symptoms among pregnant and postpar-
tum womenin China during the COVID-19 pandemic. PsychosomMed 2021;83:
34550.
25. JowettS, Shevlin M, Hyland P, Karatzias T. Posttraumatic stressdisorder and per-
sistent somatic symptoms during the COVID-19 epidemic: The role of sense of
threat. Psych osom Med 2021; 83:33844.
26. Ginty AT, Young DA, Tyra AT, Hurley PE, Brindle RC, Williams SE. Heart rate
reactivity to acute psychological stress predicts higher levels of ptsd symptoms
during the COVID-19 pandemic. Psychosom Med 2021;83:3517.
27. Bourassa KJ. State-level stay-at-home orders and objectively measured move-
ment in the united states during the COVID-19 pandemic. Psychosom Med
2021;83:35862.
28. Willroth EC, SmithAM, Shallcross AJ, Graham EK, MroczekDK, Ford BQ. The
health behavior model of personality in the context of a public health crisis.
Psychosom Med 2021;83:3637.
29. Li T, Sun S, Liu B,Wang J, ZhangY, GongC, Duan J. Prevalenceand risk factors
for anxiety and depression in patients with COVID-19 in Wuhan, China.
Psychosom Med 2021;83:36872.
30. WangY,DuanZ,PengK,LiD,OuJ,WilsonA,WangN,SiL,ChenR.Acute
stress disorder among frontline health professionals during the COVID-19 outbreak:
A structural equation modelling investigation. Psychosom Med 2021;83:3739.
31. Zeng X, PengT, Hao X, ZouC, Lin K, Liao X, Chen S,Hayhoe B. Psychological
distress reported by primary-care physicians in China during the COVID-19 pan-
demic. Psychosom Med 2021;83:3806.
32. Yan H, Ding Y, Guo W. Mental health of medical staff during the coronavirus
disease 2019 (COVID-19) pandemic: A systematic review and meta-analysis.
Psychosom Med 2021;83:38796.
33. Haslam SA, Haslam C, Jetten J,Cruwys T, Bentley SV. Rethinking the nature of
the person at the heart of the biopsychosocial model: Exploring social changeways
not just per sonal pathw ays. Soc Sci Med 2 021;272:113566.
34. Kar unamuni N, Ima yama I, Goonetilleke D. P athways to well -being: Unt angling
the causal relationships among biopsychosocial variables. Soc Sci Med 2021;
272:112846.
35. Lu D, ZhangJ, Xue C, Zuo P,Chen Z, Zhang L, Ling W, Liu Q, Jiang G. COVID-
19-inducedlockdowns indicate the short-term control effect of air pollutant emis-
sion in 174 cities in China. Environ Sci Technol 2021;55:4094102.
36. Ha KM. The reliance on positive impacts of COVID-19 outbreak for psycholog-
ical mitiga tion. Psychosom Med 2 021;83:3989.
37. Dezecache G, Frith CD, Deroy O. Pandemics and the great evolutionary mis-
match. Curr Biol 2020;30:R4179.
38. Tretter F, Wolkenhauer O, Meyer-Hermann M, Dietrich JW, Green S, Marcum J,
Weckwerth W. The quest for system-theoretical medicine in the COVID-19 era.
Front Med (Lausanne) 2021;8:640974.
EDITORIAL COMMENT
Psychosomatic Medicine, V 83 304-308 308 May 2021
Copyright © 2021 by the American Psychosomatic Society. Unauthorized reproduction of this article is prohibited.
... It is widely accepted that COVID-19 has had an unprecedented impact on societies and individuals around the world and that the implications spanned the body, mind, and social structures. There is a growing consensus that COVID-19 and the multi-scalar implications for survivors and their families require a broad, comprehensive explanatory framework, such as the BPS model [9][10][11][12]. There is also a growing body of literature confirming the impact of the modern means of communication, at the local, regional, national, and global levels on (frequently aggravated) perceptions of fear, anxiety, and stress among society members [13][14][15]. ...
... It comprises 21 items answered on a 5-point rating scale ranging from 1 (strongly disagree) to 5 (strongly agree) to determine the impact of COVID-19 across various domains of life. The measure has 4 subscales, namely physical impact (1, 2, 3, 4, 5, 6), psychological impact (7,8,9,10,11,12), social impact (13,14,15,16,17,18), and financial impact (19,20,21). The Biopsychosocial Symptoms Questionnaire has an alpha reliability of 0.89, and its validity score is 0.85. ...
... This scale is made through a survey and has 23 items with 4 subscales. Acceptance (1,3,10,11,12,15,17,18,19,20), fear (2,5,6,9,13,14,16), neutral acceptance (8,21,22,23), and faith (4,7) are the subscales of this scale. The participants indicate their agreement with the statement using a 6-point Likert scale including 1 = "Strongly disagree," 2 = "disagree, "3 = "somehow agree," 4 = "somehow disagree," 5 = "agree," and 6 = "strongly agree". ...
Article
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As the COVID-19 pandemic erupted, attempts to contain the spread of the virus took two concurrent forms, including mobility restrictions (aka lockdowns) and the race to produce a vaccine. However, it is quite striking that, amidst both the lockdown and the race to produce a vaccine, the question of how COVID-19 survivors/patients coped with the disease has not received the degree of attention it deserved. To navigate this issue, we employed a sample consisting of 100 COVID-19 survivors; this paper explores the relationship between the biopsychosocial (BPS) impacts of COVID-19, death anxiety, and coping strategies. In this context, the mediating role of death anxiety is placed in the spotlight. The analysis reveals a significant positive association between the BPS impact of COVID-19 and death anxiety and a significant negative association between death anxiety and coping strategies among COVID-19 survivors. Thus, death anxiety mediates the relationship between the BPS impact and the coping strategies that COVID-19 survivors adopt. Given the general recognition of the validity of the BPS model in contemporary medical science and practice, a thorough examination of COVID-19 survivors and their experiences related to surviving is necessary to match the challenges of today, including the increased probability of pandemics.
... En todo el mundo al igual que en Latinoamérica nacieron diferentes mitos sobre la vacuna contra la Covid-19 en cuanto a efectos como: infertilidad, alteración del ADN, ser contagiado con la vacuna, entre otros (25)(26)(27)(28). Cada País tiene percepciones o actitudes sobre la vacuna contra el Covid-19 (29)(30)(31)(32), que pueden nacer de factores biopsicosociales, influyendo en la aceptación e intención para vacunarse (33)(34)(35)(36)(37)(38)(39). ...
... En cuanto al hecho de haber tenido la muerte de alguien cercano por COVID-19 aún estando vacunado, esto influyó negativamente en la percepción de la vacuna, lo cual de acuerdo con el modelo biopsicosocial permite una mirada integral comprendiendo que la exposición a una experiencia negativa como la mencionada, no permite tener una percepción objetiva de la vacuna (9,(32)(33)(34). ...
Article
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Introducción: La vacuna ha demostrado ser la forma más efectiva para controlar la pandemia por COVID-19 previniendo complicaciones como sintomatología grave y mortalidad. En la decisión de vacunarse y la percepción de la vacuna han influido los medios de comunicación y factores psicológicos, socioculturales y biológicos. Objetivos: Identificar en población chilena la percepción de la vacuna contra la COVID-19, sus factores biopsicosociales y la influencia de variables sociodemográficas y relacionadas con la vacunación. Métodos: Estudio de cohorte transversal, cuyo nivel de profundización es descriptivo-inferencial. Tamaño muestral con un nivel de confianza del 95% y un error de estimación de 5%, en un muestreo aleatorio (probabilístico o sin intencionalidad) y estratificado. Se adaptó un cuestionario para obtener un índice de percepción de la vacuna y se aplicó a 695 chilenos. Se efectuaron análisis de asociación y regresión lineal múltiple. Resultados: Se observó que, aunque el 96.3% de los participantes se encuentran vacunados contra la COVID-19, la percepción general de la vacuna es regular, con predominio de la dimensión psicológica. Variables como el nivel socioeconómico, la decisión voluntaria de vacunarse contra la COVID-19, la muerte de alguien cercano por COVID-19 estando vacunado y el conflicto por la decisión de vacunarse, se encuentran significativamente relacionadas y tienen influencia en la percepción de la vacuna. Conclusiones: Para comprender la percepción de una vacuna, debe tomarse en cuenta la perspectiva biopsicosocial, la percepción del riesgo en relación con las conductas de salud, la influencia de los medios y otros factores implicados.
... This was supported by UK COVID-19 guidelines which recommended pragmatic treatment for psychological, emotional, and physical health 7 . However, for people with long-COVID, direct face-to-face contact with medical professionals in general, and specifically specialist post-COVID- 19 clinics, has been difficult to access, and provision is highly variable. One method of countering these problems is to provide resources online. ...
... Emerging evidence highlighted the importance of the biopsychosocial model 19,20 in understanding the interrelationships among risk factors and multidimensional clinical and psychosocial COVID-19 outcomes. The support sessions were based on behaviour change theory (Michie's COM-B model: mapping key processes and functions to enhance Capability, Opportunity, and Motivation) 21 , self-efficacy 22 , motivational interviewing 23 , and group-based learning 24 . ...
Article
Full-text available
Background: Up to half of people hospitalised with COVID-19 report diverse and persistent symptoms affecting quality of life for months and sometimes years after discharge (long-COVID). We describe the development of an online group exercise and behavioural support intervention for people who continue to experience such physical and/or emotional health problems more than three months after hospital discharge. Methods: Intervention development was informed by the Medical Research Council framework for complex interventions. Our multidisciplinary team of academics, clinicians, and people with long-COVID, had collective expertise in the development and testing of complex interventions. We integrated a bio-psycho-social model of care drawing on rehabilitation literature for long-term health conditions and experiences from our pre-pilot study. Multiple stakeholder meetings were held to refine the intervention which was designed to be deliverable within the UK National Health Service. We adhere to TIDieR guidance for transparent and explicit reporting of telehealth interventions. Results: The final REGAIN online exercise and behavioural support intervention consisted of an initial 1:1 consultation with a trained practitioner, followed by eight online group exercise, and six group support, sessions delivered over eight weeks. Participants could also access an online library of on-demand exercise and support videos. Conclusions: The final REGAIN intervention, combining exercise and behavioural support, is fully manualised with clear pathways to delivery and implementation. It is currently being tested in a randomised controlled trial. The intervention, developed with extensive patient and stakeholder engagement, could be incorporated into existing NHS rehabilitation programmes, should it prove to be clinically and cost-effective for people with long-COVID. Trial registration: International Standard Randomised Controlled Trial Number (ISRCTN) 11466448: Rehabilitation exercise and psychological support after COVID-19 infection: REGAIN.
... For instance, Spain and Italy, two of the most affected countries by the pandemic, adopted more restrictive strategies compared to France or Switzerland, which could affect the population's health status, as well as their physical activity levels and sedentary behavior, in a different manner [11]. Concerning this, the unprecedented challenging situation generated by COVID-19 produced a negative impact on both social and psychological outcomes, which some have suggested have received less attention compared to the biological responses to the pandemic [12]. ...
Article
Full-text available
Background: Running can improve health status from a biopsychosocial perspective. However , isolation strategies, like the COVID-19 pandemic-induced lockdown, produce deleterious effects on both health status and sport performance. The aim of our study was to investigate recreational run-ners' sporting habits, subjective vitality (SV), and well-being after the COVID-19 pandemic-induced lockdown. Methods: After data filtration, 5542 recreational runners (74.5% men and 25.5% women, >18 years) were selected for further analyses. The participants answered preliminary questions regarding sporting habits and completed the validated Spanish version of the Subjective Vitality as a Dynamic Reflection of Well-Being questionnaire for assessing their SV after lockdown. Results: Subjective vitality scores did not differ between men and women, nor between age groups (p = 0.41 and p = 0.11, respectively). Subjective vitality was greater with weekly training frequency up to 5 days/week, where this enhancement plateaued, while average training session duration was positively related to SV, stabilizing at 91-120 min/session (p < 0.001 for both). Conclusions: There is a dose-response relationship between both weekly training frequency and training session duration, and mental health benefits in recreational runners. Further longitudinal studies are needed in order to determine the optimal dose-response relationship for simultaneously enhancing mental health outcomes and running performance in recreational runners, especially regarding weekly training frequency, training session duration, and exercise intensity.
... In return, protective psychological factors include protective behaviors (adhering to protective measures such as wearing masks and hand washing and other psychosocial variables (Cohen, 2021;Kop, 2021). Psychosocial variables associated with decreased risk include social integration, social support, physical activity, adequate and efficient sleep, and moderate alcohol intake. ...
... (8,11,12,13,14,15,16,17,18,19,20,21) Además, son escasos los trabajos que pretenden evaluar la percepción de la vacuna contra la COVID-19 desde una postura teórica de los modelos en salud, se encuentran estudios desde la perspectiva del consumidor, (22) quedando sin abordar desde una mirada holística de la salud la vacunación en tiempos de pandemia, de hecho, el modelo biopsicosocial ha mostrado ser útil para comprender el desarrollo y las consecuencias de la pandemia a largo plazo y, a su vez, ser un modelo de respuesta para la recuperación integral de las personas y la sociedad. (23,24,25,26) Aunque el 86,3 % de la población de estudio señaló estar vacunada, el índice de percepción de la vacuna fue regular (IPV 69,3), con una alta influencia del factor psicológico, seguido del biológico, lo cual se atribuye a una alta ponderación a los sentimientos, emociones y creencias de los individuos frente la vacuna, a la confianza en los diferentes tipos de vacuna y en el programa de vacunación diseñado por el gobierno de Colombia. ...
Article
Full-text available
Introducción: La vacuna contra la COVID-19, aunque es considerada como la medida preventiva más competente para mitigar la morbilidad, gravedad y mortalidad, por ser un fármaco biológico ha suscitado distintas percepciones que involucran la influencia de diferentes factores como: personales, sociales, culturales, espirituales, entre otros, de los individuos y las poblaciones, que pueden afectar la decisión de adherencia a la vacunación de las dosis de refuerzo. Objetivo: Evaluar la percepción de la vacuna contra la COVID-19 en población colombiana desde el modelo biopsicosocialcultural y la influencia de variables sociodemográficas y propias de la vacuna. Métodos: Se diseñó y aplicó a 7617 colombianos un cuestionario de factores biológicos, psicológicos y socioculturales; además, de un cuestionario sociodemográfico y con preguntas relacionadas sobre la vacuna contra la COVID-19, se realizaron análisis de componentes principales, medidas de asociación y regresión lineal múltiple. Resultados: Se observó que, aunque el 86,3 % de la población se encuentra vacunada contra la COVID-19, la percepción sobre la vacuna es regular, con predominio de las dimensiones psicológica y biológica, además se hallaron asociaciones significativas directas con el nivel educativo, el estar vacunado, motivación y conflictos por vacunarse. Se evidencia que la edad, el nivel educativo y disposición a vacunarse lograron explicar significativamente la percepción de la vacuna. Conclusiones: El modelo biopsicosocial permitió comprender los factores de manera integral como de forma separada frente las percepciones sobre la vacuna contra la COVID-19, información relevante a tener en cuenta para los programas de vacunación frente a las dosis de refuerzo según evolución de la pandemia. Palabras clave: COVID-19; vacuna; factor biológico; factor psicológico; factor sociocultural; salud pública.
... The coronavirus disease (COVID-19) pandemic has resulted in a growing burden of biopsychosocial problems globally [1]. A growing body of knowledge about COVID-19 informs how SARS CoV-2, the virus causing COVID-19, spreads quickly among individuals and populations, leading to high mortality and morbidity [2][3][4]. The acute nature of the COVID-19 symptoms necessitated global attention to understand how it spreads, manifests, how to prevent it in populations, and how to treat it in clinical settings [5][6][7]. ...
Preprint
Full-text available
Background The infection rates with SARS-CoV 2 virus, known since 2019, are currently significantly weakened in their dynamics. Nevertheless, COVID 19 is still a common disease, which in most cases is overcome quite well and can be treated by the general practitioner. Despite an initially uncomplicated disease progression, the long-term consequences can be considerable. Symptoms persisting over a period of more than 12 weeks after infection are summarized as Post-COVID (PC) syndrome. The aim of this study is to document the symptom expression in PC patients in the outpatient setting, with a major focus on limitations in daily life and consequences for mental health. Methods This survey is part of a prospective European collaborative study with the German cohort having been slightly extended and evaluated separately. Data collection was performed by telephone interviews of adult SARS CoV 2 positive patients using standardized questionnaires (38 open and 6 closed questions). After an inclusion interview, follow-up interviews were conducted every 4 weeks over a period of 6 months. Participants were recruited in collaboration with the local health department (Würzburg, Germany). Results Sixty participants were recruited in April and May 2021. After 12 weeks (PC cutoff), 48% still reported symptoms related to SARS-CoV-2 infection. The most commonly reported symptoms were fatigue (33%), cognitive impairment (27%), and breathing problems (23%). One-quarter of respondents reported impaired functioning, with the most common daily limitations being sports (28%), work (25%), and social life (15%). At 6 months, 22% of respondents experienced anxiety and 12% reported depressive symptoms. Overall, 40% of respondents were concerned that their health would deteriorate again or not fully normalize because of COVID-19. Over two-thirds (70%) visited a physician during the course of the study because of COVID-19, 74% of whom visited their general practitioner. Conclusion PC in the outpatient setting is a common, difficult and multidimensional condition. In addition to physical symptoms, limitations in mental health and activities of daily life are particularly apparent. PC is not yet fully understood in its complexity and poses long-term challenges, particularly for outpatient care. Routine screening for psychosocial comorbidities can help to offer supportive measures to prevent chronification and/or somatization.
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This narrative review investigates racial and ethnic inequities in children with a history of coronavirus disease 2019 (COVID-19), focusing on neuropsychological outcomes using a bio-psycho-sociocultural approach. We conducted literature searches in PubMed, PsycINFO, ERIC, and Web of Science and analyzed public-use data from the Centers for Disease Control and Prevention (CDC) from the start of the pandemic to March 17, 2023. Public-use data from the CDC were analyzed to establish inequities in pediatric COVID-19 cases. Results indicate that children marginalized by race and ethnicity are disproportionately affected by COVID-19. Our findings show that racial and ethnic inequities in children with a history of COVID-19 can be effectively examined using a bio-psycho-sociocultural conceptual model. While biological and psychological factors contribute to illness severity and stress responses, sociocultural factors, such as discrimination, systemic racism, intergenerational trauma, and medical mistrust, exacerbate these inequities. Positive sociocultural factors highlighted the importance of language, proper nutrition, school support for diverse cultures, and open family discussions in fostering resilience and well-being among children from diverse racial and ethnic backgrounds. Furthermore, there are limited studies on neuropsychological outcomes in children from various racial and ethnic backgrounds with a history of COVID-19. Therefore, longitudinal research, educational interventions, and culturally sensitive clinical practice can help address these disparities and promote better access to care for children affected by COVID-19.
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Objective This review highlights the scope and significance of the coronavirus disease 2019 (COVID-19) pandemic with a focus on biobehavioral aspects and critical avenues for research. Methods A narrative review of the published research literature was undertaken, highlighting major empirical findings emerging during the first and second waves of the COVID-19 pandemic. Results Interactions among biological, behavioral, and societal processes were prominent across all regions of the globe during the first year of the COVID-19 emergency. Affective, cognitive, behavioral, socioeconomic, and technological factors all played a significant role in the spread of infection, response precautions, and outcomes of mitigation efforts. Affective symptoms, suicidality, and cognitive dysfunction have been widely described consequences of the infection, the economic fallout, and the necessary public health mitigation measures themselves. The impact of COVID-19 may be especially serious for those living with severe mental illness and/or chronic medical diseases, given the confluence of several adverse factors in a manner that appears to have syndemic potential. Conclusions The COVID-19 pandemic has made clear that biological and behavioral factors interact with societal processes in the infectious disease context. Empirical research examining mechanistic pathways from infection and recovery to immunological, behavioral, and emotional outcomes is critical. Examination of how emotional and behavioral factors relate to the pandemic—both as causes and as effects—can provide valuable insights that can improve management of the current pandemic and future pandemics to come.
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Precision medicine and molecular systems medicine (MSM) are highly utilized and successful approaches to improve understanding, diagnosis, and treatment of many diseases from bench-to-bedside. Especially in the COVID-19 pandemic, molecular techniques and biotechnological innovation have proven to be of utmost importance for rapid developments in disease diagnostics and treatment, including DNA and RNA sequencing technology, treatment with drugs and natural products and vaccine development. The COVID-19 crisis, however, has also demonstrated the need for systemic thinking and transdisciplinarity and the limits of MSM: the neglect of the bio-psycho-social systemic nature of humans and their context as the object of individual therapeutic and population-oriented interventions. COVID-19 illustrates how a medical problem requires a transdisciplinary approach in epidemiology, pathology, internal medicine, public health, environmental medicine, and socioeconomic modeling. Regarding the need for conceptual integration of these different kinds of knowledge we suggest the application of general system theory (GST). This approach endorses an organism-centered view on health and disease, which according to Ludwig von Bertalanffy who was the founder of GST, we call Organismal Systems Medicine (OSM). We argue that systems science offers wider applications in the field of pathology and can contribute to an integrative systems medicine by (i) integration of evidence across functional and structural differentially scaled subsystems, (ii) conceptualization of complex multilevel systems, and (iii) suggesting mechanisms and non-linear relationships underlying the observed phenomena. We underline these points with a proposal on multi-level systems pathology including neurophysiology, endocrinology, immune system, genetics, and general metabolism. An integration of these areas is necessary to understand excess mortality rates and polypharmacological treatments. In the pandemic era this multi-level systems pathology is most important to assess potential vaccines, their effectiveness, short-, and long-time adverse effects. We further argue that these conceptual frameworks are not only valid in the COVID-19 era but also important to be integrated in a medicinal curriculum.
Article
Objectives: The U.S. Centers for Disease Control and Prevention (CDC) recommended behavioral measures to slow the spread of COVID-19, such as social distancing and wearing masks. While many individuals comply with these recommendations, compliance has been far from universal. Identifying predictors of compliance is crucial for improving health-behavior messaging and thereby reducing disease spread and fatalities. Method: We report pre-registered analyses from a longitudinal study which investigated personality predictors of compliance with behavioral recommendations in diverse U.S. adults across five waves from March through August, 2020 (N=596) and cross-sectionally in August, 2020 (N=405). Results: Agreeableness-characterized by compassion-was the most consistent predictor of compliance, above and beyond other traits and socio-demographic predictors (Sample A β = 0.25; Sample B β = 0.12). The effect of agreeableness was robust across two diverse samples and sensitivity analyses. In addition, openness, conscientiousness, and extraversion were also associated with greater compliance but effects were less consistent across sensitivity analyses and were smaller in Sample A. Conclusions: Individuals who are less agreeable are at high-risk for non-compliance with behavioral mandates, suggesting that health messaging can be meaningfully improved with approaches that address these individuals in particular. These findings highlight the strong theoretical and practical utility of testing long-standing psychological theories during real-world crises.
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Objective: Primary-care physicians (PCPs) play a key role in responding to the COVID-19 epidemic. The objective of this study was to explore the influencing factors associated with self-reported psychological distress among a sample of PCPs in China in relation to COVID-19. Methods: An online survey was distributed to a sample of PCPs in Chengdu city between February 10-13, 2020. The survey consisted of three sections: demographic characteristics, COVID-19 related questions, and the General Health Questionnaire-12 (GHQ-12). After five months, a follow-up survey investigating the change of GHQ-12 was conducted. Results: A total of 712 PCPs completed the baseline survey (11.8% of those invited), 55.6% were female and 74.4% were aged between 30 and 49 years. High levels of psychological distress (GHQ-12≥3) were observed in 29.2%, and were associated with: low preparedness, high work impact, working with infected residents, personal life impact and concerns, as well as older age and being married (p-values<0.05). Logistic regression analysis showed that psychological distress was associated with low preparedness (OR=0.91, 95%CI=0.87-0.96), high work impact (OR=1.11, 95%CI=1.03-1.20), personal life impact (OR=1.12, 95%CI=1.07-1.17), and safety-related concerns (OR=1.09, 95%CI=1.02-1.16). At the 5-months assessment point, high psychological distress was less frequent (21.8%). Conclusions: COVID-19 has resulted in high levels of distress in approximately 30% of PCPs in China. Factors associated with high psychological distress levels include low preparedness and high levels of work impact, personal life impact and concerns. These findings highlight the importance of enhance psychological health throughout the course of infectious pandemics.
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Objective: Infectious diseases can cause psychological changes in patients. This study aimed to evaluate the prevalence and related risk factors for anxiety and depression in patients with COVID-19. Methods: A cross-sectional study was performed on patients with COVID-19 admitted to the Sino-French New City branch of Wuhan Tongji Hospital from January to February 2020. The Zung Self-Rating Anxiety and Depression Scales were used to evaluate the prevalence of anxiety and depression. Demographic, clinical, and sociological data were also collected. Multivariable logistic regression analysis was used to identify independent risk factors of anxiety and depression in patients with COVID-19. Results: In the current study, 183 patients were enrolled (mean age = 53 ± 9 years; 41.1% women). The prevalences of anxiety and depression were 56.3% and 39.3%, respectively. Logistic regression analysis revealed that older age, female sex, being divorced or widowed, COVID-19 disease duration, renal disease, and depression were identified as independent risk factors for anxiety in patients with COVID-19. Factors that were associated with depression were female sex, being widowed, COVID-19 disease duration, and anxiety. Conclusions: This study demonstrates a high prevalence of anxiety and depression in patients with COVID-19 at the peak of the epidemic in Wuhan, China. The identification of demographic, clinical, and social factors may help identify health care professionals to provide psychological care as part of treatment for patients with COVID-19 and other life-threatening infectious diseases.
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The contradiction between the regional imbalance and an one-size-fits-all policy is one of the biggest challenges in current air pollution control in China. With the recent implementation of first-level public health emergency response (FLPHER) in response to the COVID-19 pandemic in China (a total of 77 041 confirmed cases by February 22, 2020), human activities were extremely decreased nationwide and almost all economic activities were suspended. Here, we show that this scenario represents an unprecedented "base period" to probe the short-term emission control effect of air pollution at a city level. We quantify the FLPHER-induced changes of NO2, SO2, PM2.5, and PM10 levels in 174 cities in China. A machine learning prediction model for air pollution is established by coupling a generalized additive model, random effects meta-analysis, and weather research and forecasting model with chemistry analysis. The short-term control effect under the current energy structure in each city is estimated by comparing the predicted and observed results during the FLPHER period. We found that the short-term emission control effect ranges within 53.0%-98.3% for all cities, and southern cities show a significantly stronger effect than northern cities (P < 0.01). Compared with megacities, small-medium cities show a similar control effect on NO2 and SO2 but a larger effect on PM2.5 and PM10.
Article
Importance Little is known about long-term sequelae of COVID-19. Objective To describe the consequences at 4 months in patients hospitalized for COVID-19. Design, Setting, and Participants In a prospective uncontrolled cohort study, survivors of COVID-19 who had been hospitalized in a university hospital in France between March 1 and May 29, 2020, underwent a telephone assessment 4 months after discharge, between July 15 and September 18, 2020. Patients with relevant symptoms and all patients hospitalized in an intensive care unit (ICU) were invited for further assessment at an ambulatory care visit. Exposures Survival of hospitalization for COVID-19. Main Outcomes and Measures Respiratory, cognitive, and functional symptoms were assessed by telephone with the Q3PC cognitive screening questionnaire and a checklist of symptoms. At the ambulatory care visit, patients underwent pulmonary function tests, lung computed tomographic scan, psychometric and cognitive tests (including the 36-Item Short-Form Health Survey and 20-item Multidimensional Fatigue Inventory), and, for patients who had been hospitalized in the ICU or reported ongoing symptoms, echocardiography. Results Among 834 eligible patients, 478 were evaluated by telephone (mean age, 61 years [SD, 16 years]; 201 men, 277 women). During the telephone interview, 244 patients (51%) declared at least 1 symptom that did not exist before COVID-19: fatigue in 31%, cognitive symptoms in 21%, and new-onset dyspnea in 16%. There was further evaluation in 177 patients (37%), including 97 of 142 former ICU patients. The median 20-item Multidimensional Fatigue Inventory score (n = 130) was 4.5 (interquartile range, 3.0-5.0) for reduced motivation and 3.7 (interquartile range, 3.0-4.5) for mental fatigue (possible range, 1 [best] to 5 [worst]). The median 36-Item Short-Form Health Survey score (n = 145) was 25 (interquartile range, 25.0-75.0) for the subscale “role limited owing to physical problems” (possible range, 0 [best] to 100 [worst]). Computed tomographic lung-scan abnormalities were found in 108 of 171 patients (63%), mainly subtle ground-glass opacities. Fibrotic lesions were observed in 33 of 171 patients (19%), involving less than 25% of parenchyma in all but 1 patient. Fibrotic lesions were observed in 19 of 49 survivors (39%) with acute respiratory distress syndrome. Among 94 former ICU patients, anxiety, depression, and posttraumatic symptoms were observed in 23%, 18%, and 7%, respectively. The left ventricular ejection fraction was less than 50% in 8 of 83 ICU patients (10%). New-onset chronic kidney disease was observed in 2 ICU patients. Serology was positive in 172 of 177 outpatients (97%). Conclusions and Relevance Four months after hospitalization for COVID-19, a cohort of patients frequently reported symptoms not previously present, and lung-scan abnormalities were common among those who were tested. These findings are limited by the absence of a control group and of pre-COVID assessments in this cohort. Further research is needed to understand longer-term outcomes and whether these findings reflect associations with the disease.
Article
Objective: To quantify the prevalence of the adverse mental health outcomes in medical staff working in the hospital settings during the COVID-19 pandemic and explore the relative distribution of anxiety and depressive symptoms. Methods: PubMed, EMBASE, China National Knowledge Infrastructure, WANFANG DATA, and VIP Database for Chinese Technical Periodicals, were searched for papers published from January 1, 2019 to April 19, 2020. The prevalence estimates of adverse mental health symptoms in medical staff were pooled using the random-effects model. Results: A total of 35 articles and data of 25,343 medical staff were used in the final analysis. The pooled prevalence estimates in medical staff during the COVID-19 pandemic were as follows (ordered from high to low): fear-related symptoms 67% (95% confidence interval [CI]: 61%-73%), high levels of perceived stress 56% (95% CI: 32%-79%), anxiety symptoms 41% (95%CI: 35%-47%), insomnia 41% (95% CI: 33%-50%), post-traumatic stress disorder symptoms 38% (95% CI: 34%-43%), depressive symptoms 27% (95% CI: 20%-34%), and somatic symptoms 16% (95% CI: 3%-36%). The subgroup analysis revealed that the prevalence estimates of fear-related symptoms were consistently high. Conclusions: Medical staff during the COVID-19 epidemic have high prevalence of adverse mental health symptoms. Data-based strategies are needed to optimize mental health of medical staff and other health care professionals during times of high demand such as the COVID-19 and other epidemics.PROSPERO registration: CRD42020182433.
Article
Objective/Background Healthy sleep is vital for physical and psychological health, and poor sleep can result in a myriad of negative physical and psychological outcomes. Insomnia symptoms often manifest as a result of acute life stressors or changes, and COVID-19 experiences may be one such stressor. Other known predisposing factors to insomnia may moderate the impact of COVID-19 experiences on sleep. The present study aimed to determine current levels of insomnia severity in a US sample, to investigate the relation of COVID-19 experiences to insomnia symptoms, and to determine which individuals are most susceptible to this association. Methods Data were drawn from a larger online survey investigating sleep and health outcomes across the lifespan. COVID-19 experiences were assessed with the exposure and impact subscales of the CAIR Pandemic Impact Questionnaire (C-PIQ). The Insomnia Severity Index (ISI) measured insomnia symptoms. Biological, psychological, and social moderators were measured using other brief self-report measures. Results Insomnia symptoms prevalence was as follows: moderate-to-severe symptoms (25.5%), subthreshold symptoms (37.7%), and no symptoms (36.7%). Individuals’ COVID-19 experiences significantly predicted insomnia symptom severity [F(1,997) = 472.92, p < .001, R² =.32]. This association was moderated by race, anxiety symptoms, depressive symptoms, physical somatization, and social loneliness, but not age, gender, or education. Conclusions Although negative experiences with COVID-19 are associated with worse insomnia symptoms, this relationship is not the same for everyone.