Association between individual resilience and depression or anxiety among general adult population during COVID-19: a systematic review.


Journal

Journal of public health (Oxford, England)
ISSN: 1741-3850
Titre abrégé: J Public Health (Oxf)
Pays: England
ID NLM: 101188638

Informations de publication

Date de publication:
29 Nov 2023
Historique:
received: 29 03 2023
revised: 10 07 2023
medline: 4 12 2023
pubmed: 15 8 2023
entrez: 15 8 2023
Statut: ppublish

Résumé

The coronavirus disease (COVID-19) pandemic exacerbated depression and anxiety worldwide. Resilience is important to maintain mental health during uncertain times, but limited study has systematically reviewed its association with depression or anxiety with an emphasis on the general population. We searched PubMed and Embase for quantitative or mixed-methods studies on the general adult population published between 1 January 2020 and 31 April 2022 (PROSPERO ID: CRD 42022340935). National Institute of the Health quality assessment tools was used to assess the risk of bias. We qualitatively synthesized findings by outcome and study design. A total of 2945 studies were screened and 35 studies were included in the narrative analysis (5 on depression, 9 on anxiety, and 21 on both). Overall, 21 studies identified statistically significant inverse associations between resilience and depression, while 24 studies found statistically significant inverse associations between resilience and anxiety. Eight studies reported no statistically significant relationships between resilience with depression or anxiety. Resilience was found to be inversely associated with depression and anxiety during the COVID-19 pandemic. The findings highlight the importance of resilience-enhancing intervention in migrating the global mental health burden from outbreaks of infectious diseases.

Sections du résumé

BACKGROUND BACKGROUND
The coronavirus disease (COVID-19) pandemic exacerbated depression and anxiety worldwide. Resilience is important to maintain mental health during uncertain times, but limited study has systematically reviewed its association with depression or anxiety with an emphasis on the general population.
METHODS METHODS
We searched PubMed and Embase for quantitative or mixed-methods studies on the general adult population published between 1 January 2020 and 31 April 2022 (PROSPERO ID: CRD 42022340935). National Institute of the Health quality assessment tools was used to assess the risk of bias. We qualitatively synthesized findings by outcome and study design.
RESULTS RESULTS
A total of 2945 studies were screened and 35 studies were included in the narrative analysis (5 on depression, 9 on anxiety, and 21 on both). Overall, 21 studies identified statistically significant inverse associations between resilience and depression, while 24 studies found statistically significant inverse associations between resilience and anxiety. Eight studies reported no statistically significant relationships between resilience with depression or anxiety.
CONCLUSIONS CONCLUSIONS
Resilience was found to be inversely associated with depression and anxiety during the COVID-19 pandemic. The findings highlight the importance of resilience-enhancing intervention in migrating the global mental health burden from outbreaks of infectious diseases.

Identifiants

pubmed: 37580860
pii: 7242315
doi: 10.1093/pubmed/fdad144
doi:

Types de publication

Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e639-e655

Subventions

Organisme : Duke Kunshan University Office of Undergraduate Studies' Summer Research Scholar Program and the Research Network
ID : #U05010118
Organisme : Jiangsu Provincial Department of Science and Technology
ID : BK20221267

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Mei Chen Yap (MC)

Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.

Fei Wu (F)

Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.

Xulei Huang (X)

Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.

Lingli Tang (L)

Graduate School of Education, Harvard University, Cambridge, MA, 02138, USA.

Kehan Su (K)

Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.

Xin Tong (X)

Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.
Data Science Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.

Sze Chai Kwok (SC)

Data Science Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.
Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.
Duke Institute for Brain Sciences, Duke University, Durham, NC, 27708, USA.
Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China.
Shanghai Changning Mental Health Center, Shanghai, 200335, China.
Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, China.

Chenkai Wu (C)

Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.

Shan Wang (S)

Data Science Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.
Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.

Zhengting He (Z)

Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21025, USA.

Lijing L Yan (LL)

Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China.
Duke Global Health Institute, Duke University, Durham, NC, 27710, USA.
School of Public Health, Wuhan University, Wuhan, Hubei, 430071, China.
Institute for Global Health and Development, Peking University, Beijing, 100871, China.

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