Background: There is limited research focusing on publicly available statistics on the Coronavirus disease 2019 (COVID-19) pandemic as predictors of mental health across countries. Managers are at risk of suffering from mental disorders during the pandemic because they face particular hardship.
Objective: We aim to predict mental disorder (anxiety and depression) symptoms of managers across countries using country-level COVID-19 statistics.
Methods: A two-wave online survey of 406 managers from 26 countries was performed in May and July 2020. We used logistic panel regression models for our main analyses and performed robustness checks using ordinary least squares regressions. In the sample, 26.5% of managers reached the cut-off levels for anxiety (General Anxiety Disorder-7; GAD-7) and 43.5% did so for depression (Patient Health Questionnaire-9; PHQ-9) symptoms.
Findings: We found that cumulative COVID-19 statistics (e.g., cumulative cases, cumulative cases per million, cumulative deaths, and cumulative deaths per million) predicted managers' anxiety and depression symptoms positively, whereas daily COVID-19 statistics (daily new cases, smoothed daily new cases, daily new deaths, smoothed daily new deaths, daily new cases per million, and smoothed daily new cases per million) predicted anxiety and depression symptoms negatively. In addition, the reproduction rate was a positive predictor, while stringency of governmental lockdown measures was a negative predictor. Individually, we found that the cumulative count of deaths is the most suitable single predictor of both anxiety and depression symptoms.
Conclusions: Cumulative COVID-19 statistics predicted managers' anxiety and depression symptoms positively, while non-cumulative daily COVID-19 statistics predicted anxiety and depression symptoms negatively. Cumulative count of deaths is the most suitable single predictor of both anxiety and depression symptoms. Reproduction rate was a positive predictor, while stringency of governmental lockdown measures was a negative predictor.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160832 | PMC |
| http://dx.doi.org/10.3389/fpubh.2022.791977 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Longitudinal Relationship Between Co-Rumination and Emotional Problems in Early Chinese Adolescents: The Moderating Role of Self-Compassion.
Psychol Rep
January 2025
School of Education, Renmin University of China, Beijing, China.
The longitudinal relationship between co-rumination and emotional problems has been understudied, particularly regarding the role of protective factors in moderating the relationship. This study employed a cross-lagged analysis to examine the bi-directional relationship between co-rumination and emotional problems, and the moderating role of self-compassion in this dynamic. The participants comprised 814 Chinese junior school students (M = 13.
View Article and Find Full Text PDFParental Mental Health and Child Maltreatment in the COVID-19 Pandemic: Importance of Sampling in a Quantitative Statistical Study.
J Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews.
JMIR Ment Health
January 2025
Inspire, Belfast, United Kingdom.
Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.
Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.
Digital Mindfulness Training for Burnout Reduction in Physicians: Clinician-Driven Approach.
JMIR Form Res
January 2025
Brown University, Department of Behavioral and Social Sciences, Providence, RI, United States.
Background: Physician burnout is widespread in health care systems, with harmful consequences on physicians, patients, and health care organizations. Mindfulness training (MT) has proven effective in reducing burnout; however, its time-consuming requirements often pose challenges for physicians who are already struggling with their busy schedules.
Objective: This study aimed to design a short and pragmatic digital MT program with input from clinicians specifically to address burnout and to test its efficacy in physicians.
Prevalence and predictors of genitourinary syndrome of menopause: a population-based study in middle-aged Brazilian women.
Menopause
February 2025
From the Department of Obstetrics and Gynecology, Faculty of Medical Sciences, State University of Campinas (FCM-UNICAMP), Campinas, São Paulo, Brazil.
Objective: This study aimed to determine the prevalence and predictors of genitourinary syndrome of menopause (GSM) in Brazilian women.
Methods: A cross-sectional population-based household survey was conducted among 749 women aged 45 to 60 years. The dependent variable was the presence of GSM, which was assessed using a pretested structured questionnaire.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!