Submitted:
01 June 2025
Posted:
04 June 2025
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Abstract
Keywords:
1. Introduction
2. Methods
2.1. Setting
2.2. Data
2.3. Measures
2.4. Weight
2.5. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Funding
Acknowledgments
References
- Solmi M, Correll CU. The Collaborative Outcomes study on Health and Functioning during Infection Times in Adults (COH-FIT-Adults): Design and methods of an international online survey targeting physical and mental health effects of the COVID-19 pandemic. Journal of Affective Disorders 2021, 299, 1393–407. [CrossRef]
- Amed, N., Barnett, P., Greenburgh, A., Pemovska, T., Stefanidou, T., Lyons, N.,…Johnson, S. Mental health in Europe during the COVID-19 pandemic: a systematic review. Lancet Psychiatry 2023, 10, 537–56. [CrossRef] [PubMed]
- Covid-19 Mental disorders collaborators. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet 2021, 398, 1700–1712.
- Salanti, G., Peter, N., Tonia, T., Holloway, A., White, I.R., Darwish, L.,…MHCOVID crowd investigators. The impact of the COVID-19 pandemic and associated control measures on mental health of the general population. Annals of internal medicine 2022. [CrossRef]
- Cénat, J.M., Farahi, S.M.M.M., Dalexis, R.D., Darius, W.P., Bekarkhanechi, F.M., Poisson, H.,…Labelle, P.R. The global evolution of mental health problems during the COVID.19 pandemic: A systematic review and meta-analysis of longitudinal studies. Journal of affective disorders 2022, 315, 70–95. [CrossRef] [PubMed]
- Hossain, M.M., Tasnim, S., Sultana, A., Faizah, F., Mozumder, H., Zou, L….Ma, P. Epidemiology of mental health problems in COVID-19: a review. F1000Research 2020, 9, 636–52. [CrossRef] [PubMed]
- Nam, S-H., Nam, J-H., Kwon, C-Y. Comparison of the Mental Health Impact of COVID-19 on vulnerable and non-vulnerable groups: A systematic review and meta-analysis of observational studies. International journal of environmental research and public health 2021, 18, 10830. [CrossRef] [PubMed]
- Sun, Y., Wu, Y., Fan, S., Dal Santo, T., Li, L., Jiang, X.,…Thombs, B. Comparison of mental health symptoms before and during the covid-19 pandemic: evidence from a systematic review and meta-analysis of 134 cohorts. BMJ 2023, 380, e074224.
- Kunzler, A.M., Lindner, S., Röthke, N., Schäfer, S.K., Metzendorf, M-I., Sachkova, A.,… Lieb, K. Mental health impact of early stages of the COVID-19 pandemic on individuals with pre-existing mental disorders: a systematic review of longitudinal research. International journal of environmental research and public health 2023, 20, 948. [CrossRef] [PubMed]
- Pedersen, M.T., Andersen, T.O., Clotworthy, A., Jensen, A.K., Strandberg-Larsen, K., Rod, N.H., Varga, T.V. Time trends in mental health indicators during the initial 16 months of the COVID-19 pandemic in Denmark. BMC psychiatry 2022, 22, 25.
- Thygesen LC, Møller SP, Ersbøll AK, Santini ZI, Dahl Nielsen MB, Grønbæk MK, Ekholm, O. Decreasing mental well-being during the COVID-19 pandemic: A longitudinal study among Danes before and during the pandemic. Journal of Psychiatric Research 2021, 144, 151–157. [CrossRef] [PubMed]



| May 2020a (n=3134) n (%) |
May 2020b (n=3068) n (%) |
January 2021 (n=1170) n (%) |
January 2022 (n=1174) n (%) |
|
|---|---|---|---|---|
| Sociodemographic characteristics | ||||
| Sex | ||||
| Men | 496 (16) | 1,409 (46) | 560 (48) | 526 (45) |
| Women | 2638 (84) | 1,659 (54) | 610 (52) | 648 (55) |
| Age | ||||
| 18-29 years | 384 (12) | 872 (28) | 333 (28) | 320 (27) |
| 30-39 years | 465 (15) | 408 (13) | 180 (15) | 191 (16) |
| 40-49 years | 677 (22) | 518 (17) | 204 (17) | 197 (17) |
| 50-59 years | 805 (26) | 551 (18) | 199 (17) | 217 (18) |
| 60-69 years | 590 (19) | 569 (18) | 202 (17) | 203 (17) |
| 70+ years | 213 (7) | 150 (5) | 52 (4) | 46 (4) |
| Mean age (min; max) | 49 (18;84) | 44 (18;84) | 43 (18;76) | 43 (18;86) |
| Educational level | ||||
| None/primary education | 217 (7) | 871 (28) | 361 (31) | 216 (18) |
| High school/vocational school | 230 (7) | 1,009 (33) | 407 (35) | 327 (28) |
| College/university degree/PhD | 2687 (86) | 1,188 (39) | 402 (34) | 631 (54) |
| Occupation | ||||
| Not working | 1243 (40) | 747 (24) | 263 (22) | 194 (17) |
| Not working in health care | 1303 (41) | 2,032 (67) | 802 (69) | 837 (71) |
| Working in healthcare | 574 (18) | 256 (8) | 104 (9) | 142 (12) |
| Missing | 14 (1) | 33 (1) | 1 (0) | 1 (0) |
| Health and wellbeing | ||||
| Mental illness | ||||
| No mental illness | 1629 (52) | 1,304 (43) | 956 (82) | 946 (80) |
| At least one mental illness | 1322 (42) | 1,504 (49) | 172 (15) | 194 (17) |
| Missing | 183 (6) | 260 (8) | 42 (3) | 34 (3) |
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