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Hajek A, König HH. Personality-related and psychosocial correlates of sick leave days in Germany during the COVID-19 pandemic: findings of a representative survey. Arch Public Health 2022; 80:227. [PMID: 36329550 PMCID: PMC9635154 DOI: 10.1186/s13690-022-00980-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/30/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022] Open
Abstract
Background The aim of our study was to assess the personality-related and psychosocial correlates of sick leave days in Germany during the COVID-19 pandemic. Methods We used data from a representative online-survey covering the general German adult population (data collection: mid-March 2022). We restricted our sample to full-time employed individuals aged 18 to 64 years (n = 1,342 individuals). Sick leave days in the preceding 12 months served as outcome measure. Validated and established tools were used to quantify personality characteristics and psychosocial factors (such as the Coronavirus Anxiety Scale or the De Jong Gierveld loneliness tool). Negative binomial regression models were used. Results After adjusting for various sociodemographic and health-related factors, regressions showed that a higher number of sick leave days was associated with lower levels of conscientiousness (IRR: 0.84, 95% CI: 0.73-0.97), higher levels of openness to experience (IRR: 1.19, 1.04–1.35), less coronavirus anxiety (IRR: 0.90, 95% CI: 0.86-0.93), and more depressive symptoms (IRR: 1.06, 1.02–1.11). Conclusion After adjusting for various sociodemographic and health-related factors, our study showed an association between personality-related and psychosocial factors with sick leave days. More research is required to clarify the underlying pathways. Supplementary Information The online version contains supplementary material available at 10.1186/s13690-022-00980-6.
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Affiliation(s)
- André Hajek
- grid.13648.380000 0001 2180 3484Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
| | - Hans-Helmut König
- grid.13648.380000 0001 2180 3484Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
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Volz HP, Bartečků E, Bartova L, Bessa J, De Berardis D, Dragasek J, Kozhuharov H, Ladea M, Lazáry J, Roca M, Usov G, Wichniak A, Godman B, Kasper S. Sick leave duration as a potential marker of functionality and disease severity in depression. Int J Psychiatry Clin Pract 2022; 26:406-416. [PMID: 35373692 DOI: 10.1080/13651501.2022.2054350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Objective: To discuss the impact of depression on work and how depression-related sick leave duration could be a potential indicator and outcome for measuring functionality in depression.Methods: Our review was based on a literature search and expert opinion that emerged during a virtual meeting of European psychiatrists that was convened to discuss this topic.Results: Current evidence demonstrates that depression-related sick leave duration is influenced by multiple disease-, patient- and work-related factors, together with societal attitudes towards depression and socioeconomic conditions. A wide variety of pharmacological and non-pharmacological treatments and work-based interventions are effective in reducing depression-related sick leave duration and/or facilitating return to work. Recent real-world evidence showed that patients treated with antidepressant monotherapy appear to recover their working life faster than those receiving combination therapy. Although depression-related sick leave duration was found to correlate with severity of depressive symptoms, it cannot be used alone as a viable marker for disease severity.Conclusions: Given its multifactorial nature, depression-related sick leave duration is not on its own a viable outcome measure of depression severity but could be used as a secondary outcome alongside more formal severity measures and may also represent a useful measure of functionality in depression. Key pointsDepression in the working population and depression-related sick leave have a profound economic impact on societyDepression-related sick leave duration is influenced by multiple disease-, patient- and work-related factors, together with societal attitudes towards depression and socioeconomic conditionsA wide variety of pharmacological and non-pharmacological treatments and work-based interventions have been shown to be effective in reducing depression-related sick leave duration and/or facilitating return to workIn terms of pharmacological intervention, recent real-world evidence has shown that patients treated with antidepressant monotherapy are able to recover their working life faster than those treated with combination therapyAlthough depression-related sick leave duration has been shown to correlate with severity of depressive symptoms, it is not a viable outcome measure of depression severity on its own, but could be used as secondary outcome alongside more formal clinician- and patient-rated severity measuresDepression-related sick leave duration may, however, represent a viable outcome for measuring functionality in depression.
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Affiliation(s)
- Hans-Peter Volz
- Department of Psychotherapy and Psychosomatic Medicine, Hospital for Psychiatry, Werneck, Germany
| | - Elis Bartečků
- Department of Psychiatry, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy (Division of General Psychiatry), Medical University of Vienna, Vienna, Austria
| | - João Bessa
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal
| | - Domenico De Berardis
- NHS, Department of Mental Health, Psychiatric Service for Diagnosis and Treatment, Hospital "G. Mazzini", Teramo, Italy
| | - Jozef Dragasek
- First Department of Psychiatry, Pavol Jozef Šafárik University and University Hospital, Košice, Slovakia
| | - Hristo Kozhuharov
- Department of Psychiatry, University Hospital, "St. Marina", Varna, Bulgaria
| | - Maria Ladea
- University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
| | - Judit Lazáry
- Nyírő Gyula National Institute of Psychiatry and Addictions, Budapest, Hungary
| | - Miquel Roca
- School of Medicine, Son Espases University Hospital, IUNICS/IDISBA, University of Balearic Islands, Palma de Mallorca, Spain
| | | | - Adam Wichniak
- Third Department of Psychiatry, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Brian Godman
- Department of Pharmacoepidemiology, Strathclyde Institute of Pharmacy and Biomedical Sciences, Strathclyde University, Glasgow, UK.,School of Pharmacy, Faculty of Health Sciences, Sefako Makgatho Health Sciences University, Pretoria, South Africa.,Centre of Medical and Bio-allied Health Sciences Research, Ajman University, United Arab Emirates
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy (Division of General Psychiatry), Medical University of Vienna, Vienna, Austria.,Center for Brain Research, Medical University of Vienna, Vienna, Austria
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