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Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey

BACKGROUND: Longitudinal work on the impact of COVID-19 on population mental health and resilience beyond the first year of the pandemic is lacking. We aimed to understand how mental health and resilience evolved during the pandemic (2020) and two years later (2022) in a multi-ethnic Singaporean pop...

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Autores principales: Sumner, Jennifer, Chen, Mark, En, Alexius Matthias Soh Sheng, Xun, Vanessa Lim Wei, Neo, Sin Hui, Lim, Yee Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676608/
https://www.ncbi.nlm.nih.gov/pubmed/38007456
http://dx.doi.org/10.1186/s12889-023-17230-1
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author Sumner, Jennifer
Chen, Mark
En, Alexius Matthias Soh Sheng
Xun, Vanessa Lim Wei
Neo, Sin Hui
Lim, Yee Wei
author_facet Sumner, Jennifer
Chen, Mark
En, Alexius Matthias Soh Sheng
Xun, Vanessa Lim Wei
Neo, Sin Hui
Lim, Yee Wei
author_sort Sumner, Jennifer
collection PubMed
description BACKGROUND: Longitudinal work on the impact of COVID-19 on population mental health and resilience beyond the first year of the pandemic is lacking. We aimed to understand how mental health and resilience evolved during the pandemic (2020) and two years later (2022) in a multi-ethnic Singaporean population. In addition, we assessed what characteristics were associated with mental health and resilience scores. METHODS: We surveyed and analysed two balanced panel samples up to four times between 30(th) April 2020 and 11(th) July 2022. One panel assessed psychological distress (Kessler-10) and well-being (short Warwick Edinburgh Mental Well-being scale) n = 313, and one panel assessed resilience (10-item Connor-Davidson Resilience Scale(©)) n = 583. A linear panel regression model with random effects assessed the temporal patterns for psychological distress, well-being, and resilience. RESULTS: Mean psychological distress scores (Kessler-10) were relatively stable over time and were not statistically significantly worse than baseline at any follow-up. Well-being scores improved over time and were significantly better than baseline by the third survey (22(nd) Jul-18th Aug 2020) (0.54 p = 0.007, Cohen’s (d) 0.12). Scores had worsened by the last survey (27(th) June-11(th) July 2022) but were not significantly different from baseline 0.20 p = 0.30. Resilience scores declined over time. Scores at both follow-ups (14th Aug- 4th Sep 2020 and 27(th) June-11(th) July 2022) were statistically significantly lower than baseline: -1.69 p < 0.001 (Cohen’s (d) 0.25) and -0.96 p = 0.006 (Cohen’s (d) 0.14), respectively. CONCLUSIONS: Our study joins a body of work measuring the longitudinal effects of COVID-19 on population mental health and resilience. While, the magnitude of the effect related to resilience decline is small, our findings indicate that particular attention should be given to ongoing population surveillance, with the aim of maintaining good health and well-being. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-17230-1.
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spelling pubmed-106766082023-11-25 Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey Sumner, Jennifer Chen, Mark En, Alexius Matthias Soh Sheng Xun, Vanessa Lim Wei Neo, Sin Hui Lim, Yee Wei BMC Public Health Research BACKGROUND: Longitudinal work on the impact of COVID-19 on population mental health and resilience beyond the first year of the pandemic is lacking. We aimed to understand how mental health and resilience evolved during the pandemic (2020) and two years later (2022) in a multi-ethnic Singaporean population. In addition, we assessed what characteristics were associated with mental health and resilience scores. METHODS: We surveyed and analysed two balanced panel samples up to four times between 30(th) April 2020 and 11(th) July 2022. One panel assessed psychological distress (Kessler-10) and well-being (short Warwick Edinburgh Mental Well-being scale) n = 313, and one panel assessed resilience (10-item Connor-Davidson Resilience Scale(©)) n = 583. A linear panel regression model with random effects assessed the temporal patterns for psychological distress, well-being, and resilience. RESULTS: Mean psychological distress scores (Kessler-10) were relatively stable over time and were not statistically significantly worse than baseline at any follow-up. Well-being scores improved over time and were significantly better than baseline by the third survey (22(nd) Jul-18th Aug 2020) (0.54 p = 0.007, Cohen’s (d) 0.12). Scores had worsened by the last survey (27(th) June-11(th) July 2022) but were not significantly different from baseline 0.20 p = 0.30. Resilience scores declined over time. Scores at both follow-ups (14th Aug- 4th Sep 2020 and 27(th) June-11(th) July 2022) were statistically significantly lower than baseline: -1.69 p < 0.001 (Cohen’s (d) 0.25) and -0.96 p = 0.006 (Cohen’s (d) 0.14), respectively. CONCLUSIONS: Our study joins a body of work measuring the longitudinal effects of COVID-19 on population mental health and resilience. While, the magnitude of the effect related to resilience decline is small, our findings indicate that particular attention should be given to ongoing population surveillance, with the aim of maintaining good health and well-being. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-17230-1. BioMed Central 2023-11-25 /pmc/articles/PMC10676608/ /pubmed/38007456 http://dx.doi.org/10.1186/s12889-023-17230-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sumner, Jennifer
Chen, Mark
En, Alexius Matthias Soh Sheng
Xun, Vanessa Lim Wei
Neo, Sin Hui
Lim, Yee Wei
Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey
title Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey
title_full Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey
title_fullStr Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey
title_full_unstemmed Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey
title_short Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey
title_sort mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676608/
https://www.ncbi.nlm.nih.gov/pubmed/38007456
http://dx.doi.org/10.1186/s12889-023-17230-1
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