4.2 Article

Predictors of depression, anxiety and stress among remote workers during the COVID-19 pandemic

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IOS PRESS
DOI: 10.3233/WOR-210082

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Working from home; remote working; teleworking; Mental health; gender inequality

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During the COVID-19 pandemic, the prevalence of depression, anxiety, and stress among remote workers was 17.9%, 19.6%, and 19.6% respectively. Factors such as poor sleep quality, trouble focusing at work, being female, workplace loneliness, low levels of control over working hours, and low levels of physical activity were predictors of depression. Poor sleep quality, increased workload, and being female were predictors of anxiety. Poor sleep quality, trouble focusing at work, being female, financial concern, and workplace loneliness were predictors of stress. Women showed a higher increase in both housework and working hours during the COVID-19 pandemic.
BACKGROUND: The COVID-19 pandemic has had a massive impact on work and home life, changing all daily routines of remote workers. It is extremely important to figure out some changes in home and work life that may affect the mental health of remote workers more. OBJECTIVES: The first aim of the study was to investigate the predictors of depression, anxiety, and stress among first-time remote workers during the COVID-19 pandemic. The second aim was to explore sex differences regarding work and home life during the COVID-19 pandemic. METHODS: The sample consisted of 459 participants who have been working from home for the first time during the COVID-19 pandemic. An online survey used included questions relating to sociodemographic characteristics, changes in work and home life, Depression Anxiety Stress Questionnaire-Short Form, Jenkins Sleep Scale, and Leisure-Time Exercise Questionnaire. RESULTS: The prevalence of depression, anxiety, and stress was 17.9%, 19.6%, and 19.6% of the participants, respectively. Poor sleep quality, trouble focusing at work, being female, workplace loneliness, low levels of control over working hours, and low levels of physical activity were predictors of depression. Poor sleep quality, increased workload, and being female were predictors of anxiety. Poor sleep quality, trouble focusing at work, being female, financial concern, and workplace loneliness were predictors of stress. It was observed a higher increase in both housework and working hours during the COVID-19 pandemic in women. CONCLUSION: Determining the variables that can affect the mental health of remote workers is highly important for timely psychological intervention.

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