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      The association between COVID-19 preventive behaviors and mental health conditions

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          Abstract

          Background

          An unintended consequence of COVID-19 quarantine preventive measures, is the increased prevalence of anxiety and depression. The purpose of this study was to examine the association between COVID-19 preventive behaviors and mental health conditions.

          Methods

          A cross-sectional study was conducted using secondary data collected weekly from US adults aged 18 and older nationwide as part of the COVID-19 Household Impact Survey (CIS) from the University of Chicago. Logistic regression examined associations between COVID-19 preventive behaviors (wearing a face mask, washing or sanitizing hands, and keeping six-feet distance from those outside their household), mental health conditions (self-reporting feeling nervous, anxious, or on edge, feeling lonely, and feeling hopeless about the future and a history of a mental health condition) and demographic factors.

          Results

          Majority of study participants were under 60 years (62.2%), female (55.8%), and non-Hispanic White (72.2%). Overall, participants more likely to have followed all three COVID-19 measures were those who reported high psychological distress compared to those with low distress for feeling anxious (adj. OR 1.16, 95% CI: 1.06–1.28, p = 0.002), lonely (adj. OR 1.12, 95% CI: 1.02–1.23, p = 0.019) or hopeless (adj. OR 1.10, 95% CI: 1.00–1.21, p = 0.043) for more than a day during the past 7 days.

          Conclusion

          Our findings highlight that individuals with mental health conditions reported more psychological distress. Specifically, feeling depressed, anxious, lonely, and hopeless were triggered and exacerbated as a result of the pandemic and may have long-term effects on general well-being and productivity. Therefore, our findings have important implications on the need to include mental health promotion as part of pandemic response efforts. This includes developing policies and allocating funding so as to ensure sustainable mental health interventions and support, public and provider education on the importance of screening for mental health issues.

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          Most cited references26

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          Comparison of Prevalence and Associated Factors of Anxiety and Depression Among People Affected by versus People Unaffected by Quarantine During the COVID-19 Epidemic in Southwestern China

          Background At the end of 2019, the COVID-19 outbreak began in Wuhan, Hubei, China, and spread rapidly to the whole country within 1 month. This new epidemic caused a great mental reaction among the public. This study aimed to assess and compare the prevalence and associated factors of anxiety and depression among the public affected by quarantine and those unaffected during the COVID-19 outbreak in southwestern China in early Feb. 2020. Material/Methods Data were collected using the self-rating anxiety scale (SAS) and the self-rating depression scale (SDS) administered to 1593 respondents aged 18 years and above. The respondents were grouped as ‘affected group’ and ‘unaffected group’ on the basis of whether they or their families/colleagues/classmates/neighbors had been quarantined. Results Among 1593 participants, the prevalence of anxiety and depression was approximately 8.3% and 14.6%, respectively, and the prevalence in the affected group (12.9%, 22.4%) was significantly higher than that in the unaffected group (6.7%, 11.9%). Lower average household income, lower education level, having a higher self-evaluated level of knowledge, being more worried about being infected, having no psychological support, greater property damage, and lower self-perceived health condition were significant associated with higher scores on the SAS and SDS. People living in Chongqing had higher SAS and SDS scores than those living in Yunnan Province. Conclusions The prevalence of anxiety and depression of the affected group are higher than in the unaffected group during the COVID-19 outbreak in southwestern China in early Feb. 2020. The government should focus more on providing economic and medical support to improve the general population’s mental state.
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            How health anxiety influences responses to viral outbreaks like COVID-19: What all decision-makers, health authorities, and health care professionals need to know

            Heath anxiety occurs when perceived bodily sensations or changes, including but not limited to those related to infectious diseases (e.g., fever, coughing, aching muscles), are interpreted as symptoms of being ill (Asmundson, Abramowitz, Richter, & Whedon, 2010; Taylor & Asmundson, 2004). Almost everyone experiences health anxiety to some degree, and the associated vigilance to potential health-related threat can be protective, helping identify early signs of health issues that prompt health-promoting behavior. But, when excessive, health anxiety can be detrimental. As illustrated by Kosic, Lindholm, Jarvholm, Hedman-Lagerlof, and Axelsson (2020) in this volume, high levels of health anxiety are becoming increasingly common and, given that high health anxiety is known to manifest following exposure to disease-related popular media (Asmundson et al., 2010), of which there is no current shortage with COVID-19, levels around the world and particularly in areas reporting confirmed cases are likely to be on the rise. Psychological factors are known to play a vital role in the success of public health strategies used to manage epidemics and pandemics; that is, risk communication, vaccination and antiviral therapy, hygiene practices, and social distancing. Health anxiety is important in influencing the success or failure of each of these strategies (Taylor, 2019). Accordingly, it is critical that public health decision-makers, health authorities, and health care providers across disciplines understand how health anxiety will influence responses to viral outbreaks, including current responses to COVID-19. Contemporary cognitive-behavioral models (e.g., Asmundson et al., 2010; Taylor & Asmundson, 2004) posit that health anxiety occurs along a continuum; that is, it varies in degree, from very low levels to very high levels, as opposed to varying in quality. These models also suggest that high levels of health anxiety are characterized primarily by catastrophic misinterpretations of bodily sensations and changes, dysfunctional beliefs about health and illness, and maladaptive coping behaviours. People with high health anxiety tend to misinterpret benign bodily sensations and changes as dangerous. In the case of viral outbreaks, depending on prior experiences with influenza and available information about the current outbreak, a person with high health anxiety may misinterpret benign muscle aches or coughing as a tell-tale signs that they are infected (Taylor & Asmundson, 2004; Wheaton, Abramowitz, Berman, Fabricant, & Olatunji, 2012). This, in turn, increases their anxiety. Misinterpretations of bodily sensations and changes are influenced by one’s beliefs about health and disease, which in those with high health anxiety often include beliefs that all bodily sensations and changes are signs of illness and that one is especially weak or vulnerable to becoming ill. In short, in the context of a viral outbreak or pandemic, individuals with high health anxiety are prone to misinterpreting harmless bodily sensations and changes as evidence that they are infected. This will, in turn, increase their anxiety, influence their ability to make rational decisions, and impact their behaviour. There are several ways in which high health anxiety may influence behavioural responses to the belief of being infected. On the one hand, some people with high health anxiety may regard hospitals and doctor’s offices as a source of contagion and, therefore, avoid seeking medical assistance. On the other hand, other people with high health anxiety tend to seek out health-related information and reassurance, often from doctors. As such, they may visit multiple doctors or even attend hospital emergency rooms in their pursuit of reassurance that their bodily sensations and changes are not due to infection. This behaviour, if it occurs, would add undue burden to health care resources. This was evident during the 2009 H1N1 influenza pandemic, where the surge of patients on hospitals occurred even when the outbreak was only a rumor. At the time in the state of Utah, for example, there was heightened public concern about influenza but little actual disease prevalence; however, emergency room departments experienced substantial surges in patient volumes, with the volumes comparable to the increases experienced when the disease actually reached the state (McDonnell, Nelson, & Schunk, 2012). Most of the surge was due to pediatric visits. Young children frequently contract diseases with flu-like features (e.g., fever, cough, congestion), which were likely misinterpreted by their parents as possible signs of pandemic influenza. A recent article in the Journal of the American Medical Association highlights the need for hospital and medical clinic preparedness so that that concerns regarding COVID-19 do negatively impact normal medical care or compound its direct morbidity and mortality (Adalja, Toner, & Inglesby, 2020). People with high health anxiety also tend to engage in a variety of other maladaptive safety behaviours. In the context of viral outbreaks, this may include excessive hand washing, social withdrawal, and panic purchasing. It is noteworthy that all of these behaviours are consistent with public health recommendations for managing epidemics and pandemics; however, in the case of those with high health anxiety, they are taken to an extreme that can have negative consequences to the individual and their community. For example, the false sense of urgency for various products needed for self-quarantine may lead the health anxious person to over-spend on stockpiling unneeded resources (e.g., hand sanitizer, medications, protective masks). This can have a rippling detrimental impact on a community in need of these resources for other purposes, including normal medical care. Low levels of health anxiety can also have negative impacts on health behaviour (Asmundson, Taylor, Carleton, Weeks, & Hadjistavropoulos, 2012), including public health strategies for managing epidemics and pandemics. To illustrate, during the 2009 H1N1 influenza pandemic, people who viewed themselves as having a low risk of infection were less likely to wash their hands (Gilles et al., 2011) and less likely to seek vaccination (Taha, Matheson, & Anisman, 2013). People who view themselves as being at low risk of infection will also be unlikely to change their social behaviour and disregard recommendations for social distancing. Failure to adhere to even the simplest recommendations, such as washing one’s hands and social distancing, can have significant negative impacts on any efforts to mitigate viral spread. Given that some people are now changing travel plans, organizers are cancelling conferences and other large public events, and hand sanitizer and other health “safety” and “survival” products are flying off the shelves, it is apparent that concern for personal safety is mounting as the number of COVID-19 cases continues to rise around the world. Health anxiety is one of the several psychological factors that will influence the way any given person responds to a viral outbreak (Taylor, 2019), including COVID-19. As per our recent recommendations (Asmundson & Taylor, 2020), more research is needed to understand how individual difference factors, including health anxiety, specifically impact behaviour in response to COVID-19. This will take some time. In the meantime, basic knowledge of how high and low levels of health anxiety will impact behaviour as it relates to strategies for containing and mitigating viral spread is important for all decision-makers, health authorities, and health care professional and needs to be communicated to the public in an effort to curb maladaptive or irresponsible decisions that may negatively impact these efforts.
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              Prevalence of depression during the COVID-19 outbreak: A meta-analysis of community-based studies

              Introduction COVID-19 pandemic, declared on March 11, 2020, constitute an extraordinary health, social and economic global challenge. The impact on people's mental health is expected to be high. This paper sought to systematically review community-based studies on depression conducted during the COVID-19 and estimate the pooled prevalence of depression. Method We searched for cross-sectional, community-based studies listed on PubMed or Web of Science from January 1, 2020 to May 8, 2020 that reported prevalence of depression. A random effect model was used to estimate the pooled proportion of depression. Results A total of 12 studies were included in the meta-analysis, with prevalence rates of depression ranging from 7.45% to 48.30%. The pooled prevalence of depression was 25% (95% CI: 18% − 33%), with significant heterogeneity between studies (I 2  = 99.60%, p < .001). Conclusions Compared with a global estimated prevalence of depression of 3.44% in 2017, our pooled prevalence of 25% appears to be 7 times higher, thus suggesting an important impact of the COVID-19 outbreak on people's mental health. Addressing mental health during and after this global health crisis should be placed into the international and national public health agenda to improve citizens’ wellbeing.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                4 August 2023
                2023
                4 August 2023
                : 18
                : 8
                : e0289533
                Affiliations
                [1 ] Department of Health and Human Performance, Texas A&M University- Commerce, Commerce, Texas, United States of America
                [2 ] College of Osteopathic Medicine, Ohio University, Athens, Ohio, United States of America
                [3 ] AWN Foundation, Baltimore, Maryland, United States of America
                [4 ] College of Health Sciences and Professions, Ohio University, Athens, Ohio, United States of America
                Atish Dipankar University of Science and Technology, BANGLADESH
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-4219-7545
                Article
                PONE-D-22-32241
                10.1371/journal.pone.0289533
                10403101
                37540660
                c8db2f7d-0799-4f0a-965b-cfa85e497897
                © 2023 Wachira et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 November 2022
                : 15 July 2023
                Page count
                Figures: 0, Tables: 3, Pages: 13
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Covid 19
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Medicine and Health Sciences
                Epidemiology
                Pandemics
                Biology and Life Sciences
                Psychology
                Behavior
                Social Sciences
                Psychology
                Behavior
                Biology and Life Sciences
                Psychology
                Emotions
                Anxiety
                Social Sciences
                Psychology
                Emotions
                Anxiety
                Medicine and Health Sciences
                Public and Occupational Health
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Population Density
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.
                COVID-19

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