1
|
Weiß M, Gutzeit J, Appel KS, Bahmer T, Beutel M, Deckert J, Fricke J, Hanß S, Hettich-Damm N, Heuschmann PU, Horn A, Jauch-Chara K, Kohls M, Krist L, Lorenz-Depiereux B, Otte C, Pape D, Reese JP, Schreiber S, Störk S, Vehreschild JJ, Hein G. Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study. J Affect Disord 2024; 352:296-305. [PMID: 38360365 DOI: 10.1016/j.jad.2024.02.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/30/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Depression and fatigue are commonly observed sequelae following viral diseases such as COVID-19. Identifying symptom constellations that differentially classify post-COVID depression and fatigue may be helpful to individualize treatment strategies. Here, we investigated whether self-reported post-COVID depression and post-COVID fatigue are associated with the same or different symptom constellations. METHODS To address this question, we used data from COVIDOM, a population-based cohort study conducted as part of the NAPKON-POP platform. Data were collected in three different German regions (Kiel, Berlin, Würzburg). We analyzed data from >2000 individuals at least six months past a PCR-confirmed COVID-19 disease, using elastic net regression and cluster analysis. The regression model was developed in the Kiel data set, and externally validated using data sets from Berlin and Würzburg. RESULTS Our results revealed that post-COVID depression and fatigue are associated with overlapping symptom constellations consisting of difficulties with daily activities, perceived health-related quality of life, chronic exhaustion, unrestful sleep, and impaired concentration. Confirming the overlap in symptom constellations, a follow-up cluster analysis could categorize individuals as scoring high or low on depression and fatigue but could not differentiate between both dimensions. LIMITATIONS The data presented are cross-sectional, consisting primarily of self-reported questionnaire or medical records rather than biometric data. CONCLUSIONS In summary, our results suggest a strong link between post-COVID depression and fatigue, highlighting the need for integrative treatment approaches.
Collapse
Affiliation(s)
- Martin Weiß
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany.
| | - Julian Gutzeit
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany
| | - Katharina S Appel
- Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Frankfurt, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I for Internal Medicine, Cologne, Germany
| | - Thomas Bahmer
- Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany; Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm 80, 22927 Großhansdorf, Germany
| | - Manfred Beutel
- Department for Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Str. 8, 55131 Mainz, Germany
| | - Jürgen Deckert
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Germany
| | - Sabine Hanß
- Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany
| | - Nora Hettich-Damm
- Department for Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Str. 8, 55131 Mainz, Germany
| | - Peter U Heuschmann
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center, Department of Internal Medicine I, University Hospital Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; Clinical Trial Center Würzburg (CTC/ZKS), University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Anna Horn
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Kamila Jauch-Chara
- Department of Psychiatry and Psychotherapy, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Mirjam Kohls
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Germany
| | | | - Christian Otte
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany
| | - Daniel Pape
- Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Stefan Schreiber
- Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Stefan Störk
- Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center, Department of Internal Medicine I, University Hospital Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany
| | - Jörg Janne Vehreschild
- Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Frankfurt, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I for Internal Medicine, Cologne, Germany; German Centre for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany
| | - Grit Hein
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany
| |
Collapse
|
2
|
Ishii S, Jung H, Akishita M, Kawamura A. Prevalence and associated factors of work impairment among geriatricians during the COVID-19 pandemic in Japan. Geriatr Gerontol Int 2024; 24 Suppl 1:215-220. [PMID: 38131637 DOI: 10.1111/ggi.14772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/30/2023] [Accepted: 11/19/2023] [Indexed: 12/23/2023]
Abstract
AIM This study investigated work impairment and its associated factors among geriatricians during the coronavirus disease 2019 (COVID-19) pandemic. METHODS This cross-sectional study was carried out using an anonymous online survey questionnaire administered to members of the Japanese Geriatric Society between October and December 2022. The questionnaire included questions regarding psychological distress (Kessler Psychological Distress Scale), fear of COVID-19 (Fear of COVID-19 Scale) and work impairment (Work Functioning Impairment Scale). Multivariate logistic regression analyses were carried out to determine the factors associated with work impairment. Causal mediation analyses were performed to delineate the relationship between work impairment, psychological distress and fear of COVID-19. RESULTS The analytic sample included 386 geriatricians, and work impairment was observed in 24.8% of them. Work impairment was associated with age, prefecture where the institution was located and fear of COVID-19. Mediation analysis showed that the effect of fear of COVID-19 on work impairment was almost completely mediated by psychological distress. CONCLUSION During the COVID-19 pandemic, work impairment was commonly observed among geriatricians. We found that fear of COVID-19 might cause work impairment; however, this effect was exerted entirely through psychological distress. This implies that interventions to prevent or reduce work impairment among doctors should mainly target psychological distress; however, the fear of COVID-19, if it causes psychological distress, should also be addressed. Managers of hospitals and long-term care facilities must take steps to protect healthcare workers' mental well-being and maintain work productivity. Therefore, understanding the factors related to work impairment might help them devise effective measures. Geriatr Gerontol Int 2024; 24: 215-220.
Collapse
Affiliation(s)
- Shinya Ishii
- Department of Medicine for Integrated Approach to Social Inclusion, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima City, Japan
| | - Hungu Jung
- Department of Medicine for Integrated Approach to Social Inclusion, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima City, Japan
| | - Masahiro Akishita
- Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Atsuko Kawamura
- Department of Medicine for Integrated Approach to Social Inclusion, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima City, Japan
| |
Collapse
|