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      Associations Between Employment Changes and Mental Health: US Data From During the COVID-19 Pandemic

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          Abstract

          Objectives: To examine associations of changing employment conditions, specifically switching to working from home (WFH) or job loss, with mental health, using data collected during the COVID-19 pandemic.

          Methods: Data from 2,301 US adults in employment prior to COVID-19 were collected April 3rd−7th, 2020. Participants reported whether their employment remained unchanged, they were WFH when they had not been before, or they had lost their job due to the pandemic. Outcomes were symptoms of depression, anxiety, stress, loneliness, and positive mental health (PMH) assessed using validated questionnaires. Linear regression quantified associations of employment changes with mental health outcomes, controlling for age, sex, race, BMI, smoking status, screen time, physical activity, marital status, chronic conditions, and current COVID-19 containment strategies being followed.

          Results: Compared to participants whose employment remained unchanged, those who switched to WFH did not differ in any measures of mental health (all p ≥ 0.200). Participants who had lost their job reported higher symptoms of depression ( g = −0.200, 95%CI = −0.333 to −0.067; p = 0.003), anxiety ( g = −0.212, −0.363 to −0.061; p = 0.008), and stress ( g = −0.348, −0.482 to −0.214; p < 0.001), and lower PMH ( g = −0.212, −0.347 to −0.078; p = 0.002). Loneliness did not differ between groups ( p = 0.087).

          Conclusion: This study demonstrates (1) that concerns around potential adverse mental health effects, particularly increases in loneliness, should not preclude WFH in the general population, while considering each individual's personal circumstances, and (2) the acute adverse association of job loss with mental health. Tailored and sensitive interventions may be required to prevent deteriorations in mental health associated with job loss during periods of societal stress.

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          Most cited references25

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          The psychological impact of quarantine and how to reduce it: rapid review of the evidence

          Summary The December, 2019 coronavirus disease outbreak has seen many countries ask people who have potentially come into contact with the infection to isolate themselves at home or in a dedicated quarantine facility. Decisions on how to apply quarantine should be based on the best available evidence. We did a Review of the psychological impact of quarantine using three electronic databases. Of 3166 papers found, 24 are included in this Review. Most reviewed studies reported negative psychological effects including post-traumatic stress symptoms, confusion, and anger. Stressors included longer quarantine duration, infection fears, frustration, boredom, inadequate supplies, inadequate information, financial loss, and stigma. Some researchers have suggested long-lasting effects. In situations where quarantine is deemed necessary, officials should quarantine individuals for no longer than required, provide clear rationale for quarantine and information about protocols, and ensure sufficient supplies are provided. Appeals to altruism by reminding the public about the benefits of quarantine to wider society can be favourable.
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            Mental Health and the Covid-19 Pandemic

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              Sensitivity Analysis in Observational Research: Introducing the E-Value.

              Sensitivity analysis is useful in assessing how robust an association is to potential unmeasured or uncontrolled confounding. This article introduces a new measure called the "E-value," which is related to the evidence for causality in observational studies that are potentially subject to confounding. The E-value is defined as the minimum strength of association, on the risk ratio scale, that an unmeasured confounder would need to have with both the treatment and the outcome to fully explain away a specific treatment-outcome association, conditional on the measured covariates. A large E-value implies that considerable unmeasured confounding would be needed to explain away an effect estimate. A small E-value implies little unmeasured confounding would be needed to explain away an effect estimate. The authors propose that in all observational studies intended to produce evidence for causality, the E-value be reported or some other sensitivity analysis be used. They suggest calculating the E-value for both the observed association estimate (after adjustments for measured confounders) and the limit of the confidence interval closest to the null. If this were to become standard practice, the ability of the scientific community to assess evidence from observational studies would improve considerably, and ultimately, science would be strengthened.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                11 February 2021
                2021
                11 February 2021
                : 12
                : 631510
                Affiliations
                [1] 1The Irish Longitudinal Study of Ageing, Trinity College Dublin, The University of Dublin , Dublin, Ireland
                [2] 2School of Medicine, Trinity College Dublin, The University of Dublin , Dublin, Ireland
                [3] 3Physical Activity for Health Research Cluster, Health Research Institute, University of Limerick , Limerick, Ireland
                [4] 4Department of Physical Education and Sport Sciences, University of Limerick , Limerick, Ireland
                [5] 5Department of Kinesiology, Iowa State University , Ames, IA, United States
                Author notes

                Edited by: Jingguang Li, Dali University, China

                Reviewed by: Yajun Zhao, Southwest Minzu University, China; Hongmei Yang, Beijing Normal University, China

                *Correspondence: Jacob D. Meyer jdmeyer3@ 123456iastate.edu

                This article was submitted to Health Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2021.631510
                7904880
                33643165
                bfd2dcbd-dbe2-4d1e-98c3-f5e8e4934ccd
                Copyright © 2021 McDowell, Herring, Lansing, Brower and Meyer.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 November 2020
                : 19 January 2021
                Page count
                Figures: 1, Tables: 0, Equations: 0, References: 28, Pages: 5, Words: 3464
                Funding
                Funded by: Irish Research Council 10.13039/501100002081
                Categories
                Psychology
                Brief Research Report

                Clinical Psychology & Psychiatry
                coronavirus,employment,working from home (wfh),depression,anxiety,lonelineness,stress,positive mental health

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