{"title":"2014-2020年中国 \"COVID-19 \"前认知社会资本轨迹与 \"COVID-19 \"前抑郁症：一项纵向研究。","authors":"Yang Han , Junjie Huang , Roger Yat-Nork Chung","doi":"10.1016/j.jad.2024.10.106","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Social capital is dynamic; however, little is known about the association of its dynamics with peri-pandemic health. We examined the longitudinal association of pre-COVID-19 cognitive social capital trajectories with peri-COVID-19 depressive symptoms and the moderating effect of province-level COVID-19 severity on the association in China.</div></div><div><h3>Methods</h3><div>We employed four-wave data from China Family Panel Studies between 2014 and 2020. Depressive symptoms in 2020 were measured by the 8-item Center for Epidemiological Studies-Depression Scale. Pre-COVID-19 cognitive social capital from 2014 to 2018 included dichotomized (high/low) generalized trust, trust in neighbors, trust in local government officials, and reciprocity, each of which included five trajectories: persistently low, decreased, fluctuated, increased, and persistently high. Province-level COVID-19 severity in 2020 was a factor score constructed by the number of provincial COVID-19 cases and deaths. We conducted mixed-effects linear regression to answer our research questions.</div></div><div><h3>Results</h3><div>Persistently low generalized trust (<em>β</em>: 0.46; 95 % CI: 0.15,0.78), persistently low (<em>β</em>: 0.57; 95 % CI: 0.22, 0.92), decreased (<em>β</em>: 0.36; 95 % CI: 0.07, 0.65) and increased (<em>β</em>: 0.40; 95 % CI: 0.12, 0.68) trust in neighbors, and persistently low (<em>β</em>: 0.39; 95 % CI: 0.02, 0.77) and decreased (<em>β</em>: 0.68; 95 % CI: 0.38, 0.97) reciprocity, compared with their persistently high trajectories, were associated with a higher level of peri-COVID-19 depressive symptoms. We did not find robust evidence to support the moderating effect of province-level COVID-19 severity.</div></div><div><h3>Conclusions</h3><div>Long-term strategies to increase cognitive social capital and prevent cognitive social capital decline are needed to protect mental health against a pandemic.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"370 ","pages":"Pages 109-117"},"PeriodicalIF":4.9000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pre-COVID-19 cognitive social capital trajectories and peri-COVID-19 depression in China, 2014–2020: A longitudinal study\",\"authors\":\"Yang Han , Junjie Huang , Roger Yat-Nork Chung\",\"doi\":\"10.1016/j.jad.2024.10.106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Social capital is dynamic; however, little is known about the association of its dynamics with peri-pandemic health. We examined the longitudinal association of pre-COVID-19 cognitive social capital trajectories with peri-COVID-19 depressive symptoms and the moderating effect of province-level COVID-19 severity on the association in China.</div></div><div><h3>Methods</h3><div>We employed four-wave data from China Family Panel Studies between 2014 and 2020. Depressive symptoms in 2020 were measured by the 8-item Center for Epidemiological Studies-Depression Scale. Pre-COVID-19 cognitive social capital from 2014 to 2018 included dichotomized (high/low) generalized trust, trust in neighbors, trust in local government officials, and reciprocity, each of which included five trajectories: persistently low, decreased, fluctuated, increased, and persistently high. Province-level COVID-19 severity in 2020 was a factor score constructed by the number of provincial COVID-19 cases and deaths. We conducted mixed-effects linear regression to answer our research questions.</div></div><div><h3>Results</h3><div>Persistently low generalized trust (<em>β</em>: 0.46; 95 % CI: 0.15,0.78), persistently low (<em>β</em>: 0.57; 95 % CI: 0.22, 0.92), decreased (<em>β</em>: 0.36; 95 % CI: 0.07, 0.65) and increased (<em>β</em>: 0.40; 95 % CI: 0.12, 0.68) trust in neighbors, and persistently low (<em>β</em>: 0.39; 95 % CI: 0.02, 0.77) and decreased (<em>β</em>: 0.68; 95 % CI: 0.38, 0.97) reciprocity, compared with their persistently high trajectories, were associated with a higher level of peri-COVID-19 depressive symptoms. We did not find robust evidence to support the moderating effect of province-level COVID-19 severity.</div></div><div><h3>Conclusions</h3><div>Long-term strategies to increase cognitive social capital and prevent cognitive social capital decline are needed to protect mental health against a pandemic.</div></div>\",\"PeriodicalId\":14963,\"journal\":{\"name\":\"Journal of affective disorders\",\"volume\":\"370 \",\"pages\":\"Pages 109-117\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of affective disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165032724017865\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of affective disorders","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165032724017865","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Pre-COVID-19 cognitive social capital trajectories and peri-COVID-19 depression in China, 2014–2020: A longitudinal study
Background
Social capital is dynamic; however, little is known about the association of its dynamics with peri-pandemic health. We examined the longitudinal association of pre-COVID-19 cognitive social capital trajectories with peri-COVID-19 depressive symptoms and the moderating effect of province-level COVID-19 severity on the association in China.
Methods
We employed four-wave data from China Family Panel Studies between 2014 and 2020. Depressive symptoms in 2020 were measured by the 8-item Center for Epidemiological Studies-Depression Scale. Pre-COVID-19 cognitive social capital from 2014 to 2018 included dichotomized (high/low) generalized trust, trust in neighbors, trust in local government officials, and reciprocity, each of which included five trajectories: persistently low, decreased, fluctuated, increased, and persistently high. Province-level COVID-19 severity in 2020 was a factor score constructed by the number of provincial COVID-19 cases and deaths. We conducted mixed-effects linear regression to answer our research questions.
Results
Persistently low generalized trust (β: 0.46; 95 % CI: 0.15,0.78), persistently low (β: 0.57; 95 % CI: 0.22, 0.92), decreased (β: 0.36; 95 % CI: 0.07, 0.65) and increased (β: 0.40; 95 % CI: 0.12, 0.68) trust in neighbors, and persistently low (β: 0.39; 95 % CI: 0.02, 0.77) and decreased (β: 0.68; 95 % CI: 0.38, 0.97) reciprocity, compared with their persistently high trajectories, were associated with a higher level of peri-COVID-19 depressive symptoms. We did not find robust evidence to support the moderating effect of province-level COVID-19 severity.
Conclusions
Long-term strategies to increase cognitive social capital and prevent cognitive social capital decline are needed to protect mental health against a pandemic.
期刊介绍：
The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.
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