Pre-COVID-19 cognitive social capital trajectories and peri-COVID-19 depression in China, 2014–2020: A longitudinal study

IF 4.9 2区医学 Q1 CLINICAL NEUROLOGY

Journal of affective disorders Pub Date : 2024-10-24 DOI:10.1016/j.jad.2024.10.106

Yang Han , Junjie Huang , Roger Yat-Nork Chung

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引用次数: 0

Abstract

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.

查看原文本刊更多论文

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。

背景：社会资本是动态的，但人们对其动态变化与围大流行期健康的关系知之甚少。我们研究了中国 COVID-19 前认知社会资本轨迹与围 COVID-19 抑郁症状的纵向联系，以及省一级 COVID-19 严重程度对这种联系的调节作用：我们采用了中国家庭面板研究（China Family Panel Studies）2014-2020年间的四波数据。2020年的抑郁症状由流行病学研究中心抑郁量表的8个项目测量。2014年至2018年的COVID-19前认知社会资本包括二分法（高/低）的广义信任、对邻居的信任、对当地政府官员的信任和互惠，每种信任都包括五种轨迹：持续低、降低、波动、增加和持续高。2020 年各省 COVID-19 严重程度是由各省 COVID-19 病例数和死亡数构建的因子得分。我们通过混合效应线性回归来回答研究问题：对邻居的信任度持续偏低（β：0.46；95 % CI：0.15,0.78）、持续偏低（β：0.57；95 % CI：0.22,0.92）、降低（β：0.36；95 % CI：0.07,0.65）和增加（β：0.40；95 % CI：0.12,0.68），以及持续偏低（β：0.39；95 % CI：0.02, 0.77）和互惠性降低（β：0.68；95 % CI：0.38, 0.97）与他们的持续高轨迹相比，与更高水平的围 COVID-19 抑郁症状相关。我们没有发现有力的证据支持省一级 COVID-19 严重程度的调节作用：结论：需要采取长期策略来增加认知社会资本并防止认知社会资本下降，以保护心理健康免受大流行病的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of affective disorders 医学-精神病学

CiteScore

10.90

自引率

6.10%

发文量

1319

审稿时长

9.3 weeks

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.