Predicting Managers' Mental Health Across Countries: Using Country-Level COVID-19 Statistics
BackgroundThere 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.Objecti...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.791977/full |
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| author | Lun Li Stephen X. Zhang Lorenz Graf-Vlachy Lorenz Graf-Vlachy |
| author_facet | Lun Li Stephen X. Zhang Lorenz Graf-Vlachy Lorenz Graf-Vlachy |
| author_sort | Lun Li |
| collection | DOAJ |
| description | BackgroundThere 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.ObjectiveWe aim to predict mental disorder (anxiety and depression) symptoms of managers across countries using country-level COVID-19 statistics.MethodsA 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.FindingsWe 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.ConclusionsCumulative 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. |
| first_indexed | 2024-04-12T11:20:11Z |
| format | Article |
| id | doaj.art-7e445f566d0e4204871b786bdcbc837a |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-12T11:20:11Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-7e445f566d0e4204871b786bdcbc837a2022-12-22T03:35:23ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-05-011010.3389/fpubh.2022.791977791977Predicting Managers' Mental Health Across Countries: Using Country-Level COVID-19 StatisticsLun Li0Stephen X. Zhang1Lorenz Graf-Vlachy2Lorenz Graf-Vlachy3School of Economics and Management, Tsinghua University, Beijing, ChinaAdelaide Business School, University of Adelaide, Adelaide, SA, AustraliaTU Dortmund University, Dortmund, GermanyESCP Business School, Paris, FranceBackgroundThere 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.ObjectiveWe aim to predict mental disorder (anxiety and depression) symptoms of managers across countries using country-level COVID-19 statistics.MethodsA 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.FindingsWe 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.ConclusionsCumulative 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.https://www.frontiersin.org/articles/10.3389/fpubh.2022.791977/fullmanagersmental disorderscumulative deathsCOVID-19cross-country |
| spellingShingle | Lun Li Stephen X. Zhang Lorenz Graf-Vlachy Lorenz Graf-Vlachy Predicting Managers' Mental Health Across Countries: Using Country-Level COVID-19 Statistics Frontiers in Public Health managers mental disorders cumulative deaths COVID-19 cross-country |
| title | Predicting Managers' Mental Health Across Countries: Using Country-Level COVID-19 Statistics |
| title_full | Predicting Managers' Mental Health Across Countries: Using Country-Level COVID-19 Statistics |
| title_fullStr | Predicting Managers' Mental Health Across Countries: Using Country-Level COVID-19 Statistics |
| title_full_unstemmed | Predicting Managers' Mental Health Across Countries: Using Country-Level COVID-19 Statistics |
| title_short | Predicting Managers' Mental Health Across Countries: Using Country-Level COVID-19 Statistics |
| title_sort | predicting managers mental health across countries using country level covid 19 statistics |
| topic | managers mental disorders cumulative deaths COVID-19 cross-country |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.791977/full |
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