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      Effects of 12 Weeks of At-Home, Application-Based Exercise on Health Care Workers’ Depressive Symptoms, Burnout, and Absenteeism : A Randomized Clinical Trial

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          Abstract

          Importance

          During the COVID-19 pandemic, health care workers (HCWs) reported a significant decline in their mental health. One potential health behavior intervention that has been shown to be effective for improving mental health is exercise, which may be facilitated by taking advantage of mobile application (app) technologies.

          Objective

          To determine the extent to which a 12-week app-based exercise intervention can reduce depressive symptoms, burnout, and absenteeism in HCWs, compared with a wait list control condition.

          Design, Setting, and Participants

          A 2-group randomized clinical trial was conducted, with participants screened from April 6 to July 4, 2022. Participants were recruited from an urban health care organization in British Columbia, Canada. Participants completed measures before randomization and every 2 weeks thereafter.

          Interventions

          Exercise condition participants were asked to complete four 20-minute sessions per week using a suite of body weight interval training, yoga, barre, and running apps. Wait-listed control participants received the apps at the end of the trial.

          Main Outcomes and Measures

          The primary outcome consisted of the between-group difference in depressive symptoms measured with the 10-item Center for Epidemiological Studies Depression Scale. The secondary outcomes corresponded to 3 subfacets of burnout (cynicism, emotional exhaustion, and professional efficacy) and absenteeism. Intention-to-treat analyses were completed with multilevel structural equation modeling, and Feingold effect sizes (ES) were estimated every 2 weeks.

          Results

          A total of 288 participants (mean [SD] age, 41.0 [10.8] years; 246 [85.4%] women) were randomized to either exercise (n = 142) or wait list control (n = 146) conditions. Results revealed that ESs for depressive symptoms were in the small to medium range by trial’s end (week 12, −0.41 [95% CI, −0.69 to −0.13]). Significant and consistent treatment effects were revealed for 2 facets of burnout, namely cynicism (week 12 ES, −0.33 [95% CI, −0.53 to −0.13]) and emotional exhaustion (week 12 ES, −0.39 [95% CI, −0.64 to −0.14]), as well as absenteeism ( r = 0.15 [95% CI, 0.03-0.26]). Adherence to the 80 minutes per week of exercise decreased from 78 (54.9%) to 33 (23.2%) participants between weeks 2 and 12.

          Conclusions and Relevance

          Although exercise was able to reduce depressive symptoms among HCWs, adherence was low toward the end of the trial. Optimizing adherence to exercise programming represents an important challenge to help maintain improvements in mental health among HCWs.

          Trial Registration

          ClinicalTrials.gov Identifier: NCT05271006

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          Most cited references28

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          Effect size estimates: current use, calculations, and interpretation.

          The Publication Manual of the American Psychological Association (American Psychological Association, 2001, American Psychological Association, 2010) calls for the reporting of effect sizes and their confidence intervals. Estimates of effect size are useful for determining the practical or theoretical importance of an effect, the relative contributions of factors, and the power of an analysis. We surveyed articles published in 2009 and 2010 in the Journal of Experimental Psychology: General, noting the statistical analyses reported and the associated reporting of effect size estimates. Effect sizes were reported for fewer than half of the analyses; no article reported a confidence interval for an effect size. The most often reported analysis was analysis of variance, and almost half of these reports were not accompanied by effect sizes. Partial η2 was the most commonly reported effect size estimate for analysis of variance. For t tests, 2/3 of the articles did not report an associated effect size estimate; Cohen's d was the most often reported. We provide a straightforward guide to understanding, selecting, calculating, and interpreting effect sizes for many types of data and to methods for calculating effect size confidence intervals and power analysis.
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            Managing mental health challenges faced by healthcare workers during covid-19 pandemic

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              Screening for Depression in Well Older Adults: Evaluation of a Short Form of the CES-D

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                Author and article information

                Journal
                JAMA Psychiatry
                JAMA Psychiatry
                American Medical Association (AMA)
                2168-622X
                August 09 2023
                Affiliations
                [1 ]School of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada
                [2 ]Department of Educational and Counselling Psychology and Special Education, University of British Columbia, Vancouver, British Columbia, Canada
                [3 ]Canadian Sport Institute Pacific, Victoria, British Columbia, Canada
                [4 ]Department of Psychology, Carleton University, Ottawa, Ontario, Canada
                [5 ]Providence Health Care, Vancouver, British Columbia, Canada
                Article
                10.1001/jamapsychiatry.2023.2706
                37556150
                ee576a3a-0b45-4212-ab2d-1e61cdd60dee
                © 2023
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