Bidirectional relationships between cognition and depressive symptoms and effects of sociodemographic and lifestyle factors: random-intercept, cross-lagged panel model.

IF 3.9 3区 医学 Q1 PSYCHIATRY
Ted C T Fong, Ryder T H Chan, Ming Wen, Paul S F Yip
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Abstract

Background: Existing panel studies on the relationships between cognition and depressive symptoms did not systematically separate between- and within-person components, with measurement time lags that are too long for precise assessment of dynamic within-person relationships.

Aims: To investigate the bidirectional relationships between cognition and depressive symptoms and examine the effects of sociodemographic characteristics and lifestyle factors via random-intercept, cross-lagged panel modelling (RI-CLPM) in middle-aged and older adults.

Method: The sample comprised 24 425 community-based residents aged 45 years or above, recruited via five waves of the China Health and Retirement Longitudinal Study (2011-2020). Cognition was evaluated using the Telephone Interview of Cognition Status, and depressive symptoms were assessed by the ten-item Center for Epidemiologic Studies Depression Scale. RI-CLPM included sociodemographic and lifestyle factors as time-invariant and -varying covariates. Subgroup analysis was conducted across gender, age groups and urban/rural regions.

Results: RI-CLPM showed a superior fit to cross-lagged panel models. Male, higher education, married, urban region, non-smoking, currently working and participation in social activities were linked with better cognition and fewer depressive symptoms. Overall, cognition and depressive symptoms showed significant and negative bidirectional cross-lagged effects over time. Despite similar cross-lagged effects across gender, subgroup analysis across urbanicity found that cross-lagged effects were not significant in urban regions.

Conclusions: The present study provided nuanced results on negative bidirectional relationships between cognition and depressive symptoms in Chinese middle-aged and older adults. Our results highlight the health disparities in cognitive and emotional health across urbanicity and age groups.

认知与抑郁症状的双向关系以及社会人口学和生活方式因素的影响:随机截距,交叉滞后面板模型
背景:现有的关于认知与抑郁症状之间关系的小组研究没有系统地分离人与人之间和人与人之间的成分,测量时间滞后太长,无法精确评估动态的人与人之间的关系。目的:通过随机截点交叉滞后面板模型(RI-CLPM),探讨认知与抑郁症状之间的双向关系,并检验社会人口学特征和生活方式因素的影响。方法:通过中国健康与退休纵向研究(2011-2020)的五波调查,抽取24 425名45岁及以上的社区居民作为样本。认知采用认知状态电话访谈法进行评估,抑郁症状采用流行病学研究中心抑郁量表进行评估。RI-CLPM包括社会人口学和生活方式因素作为时不变和变的协变量。进行了跨性别、年龄组和城乡地区的亚组分析。结果:RI-CLPM与交叉滞后面板模型拟合较好。男性、受过高等教育、已婚、居住在城市、不吸烟、目前有工作和参加社会活动与更好的认知能力和更少的抑郁症状有关。总体而言,随着时间的推移,认知和抑郁症状表现出显著的负双向交叉滞后效应。尽管跨性别的交叉滞后效应相似,但跨城市化的亚组分析发现,交叉滞后效应在城市地区并不显著。结论:本研究提供了中国中老年人认知与抑郁症状负向双向关系的微妙结果。我们的研究结果强调了不同城市和年龄群体在认知和情感健康方面的健康差异。
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
BJPsych Open
BJPsych Open Medicine-Psychiatry and Mental Health
CiteScore
6.30
自引率
3.70%
发文量
610
审稿时长
16 weeks
期刊介绍: Announcing the launch of BJPsych Open, an exciting new open access online journal for the publication of all methodologically sound research in all fields of psychiatry and disciplines related to mental health. BJPsych Open will maintain the highest scientific, peer review, and ethical standards of the BJPsych, ensure rapid publication for authors whilst sharing research with no cost to the reader in the spirit of maximising dissemination and public engagement. Cascade submission from BJPsych to BJPsych Open is a new option for authors whose first priority is rapid online publication with the prestigious BJPsych brand. Authors will also retain copyright to their works under a creative commons license.
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