COVID-19大流行前后中国中老年人群的互联网使用、社会参与和抑郁症状:来自中国健康与退休纵向观察研究的证据

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Siqian Zhang, Shiju Dong, Zexuan Yu, Shuwen Bi, Wen Wen, Jiajia Li
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引用次数: 0

摘要

背景:虽然互联网使用与抑郁之间的关系以及社会参与在这种关联中的中介作用受到了广泛关注,但COVID-19大流行破坏了传统的社会参与形式。这种破坏在多大程度上改变了这种联系仍未得到充分探讨。目的:本研究旨在研究互联网使用对中老年人群抑郁症状的影响,并评估社会参与在COVID-19大流行前和期间的中介作用差异。方法:本研究的数据来自中国健康与退休纵向研究的第四波(2018年:15,326个观察值)和第五波(2020年:15,758个观察值)。本研究采用包含工具变量的双向固定效应模型,探讨网络使用与中老年人群抑郁症状之间的关系。此外,采用倾向得分匹配的中介效应模型,评估社会参与在大流行前和大流行期间对互联网使用与抑郁症状关系的中介作用的变化,并探讨3项互联网使用功能的变化。采用基于年龄和城乡居住的亚组分析来评估这种关联的异质性。结果:中国中老年人群抑郁量表(csd -10)平均得分从2018年的1.94分上升至2020年的1.98分。网络使用与抑郁症状呈负相关(β=- 0.041; p)结论:网络使用与中老年人抑郁症状呈负相关。尽管与2018年相比,2020年的抑郁得分明显上升,但社会参与的中介作用减弱了,而互联网使用的直接影响在疫情期间变得更加明显。这些发现强调需要优先考虑这一人群的心理健康恢复,促进各种形式的社会参与,并利用互联网的潜力来提高社会参与和心理健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Internet Usage, Social Participation, and Depression Symptoms Among Middle-Aged and Older Adult Chinese Individuals Before and During the COVID-19 Pandemic: Evidence From the China Health and Retirement Longitudinal Observational Study.

Internet Usage, Social Participation, and Depression Symptoms Among Middle-Aged and Older Adult Chinese Individuals Before and During the COVID-19 Pandemic: Evidence From the China Health and Retirement Longitudinal Observational Study.

Internet Usage, Social Participation, and Depression Symptoms Among Middle-Aged and Older Adult Chinese Individuals Before and During the COVID-19 Pandemic: Evidence From the China Health and Retirement Longitudinal Observational Study.

Internet Usage, Social Participation, and Depression Symptoms Among Middle-Aged and Older Adult Chinese Individuals Before and During the COVID-19 Pandemic: Evidence From the China Health and Retirement Longitudinal Observational Study.

Background: While the relationship between internet usage and depression, and the mediating role of social participation in this association, has garnered significant attention, the COVID-19 pandemic has disrupted traditional forms of social participation. The extent to which this disruption has altered the association remains underexplored.

Objective: This study aims to examine the impact of internet usage on depressive symptoms among middle-aged and older adults and to assess how the mediating role of social participation differs before and during the COVID-19 pandemic.

Methods: Data for this study were sourced from the fourth wave (2018: 15,326 observations) and the fifth wave (2020: 15,758 observations) of the China Health and Retirement Longitudinal Study. A 2-way fixed-effects model incorporating an instrumental variable was employed to investigate the relationship between internet usage and depressive symptoms among middle-aged and older adults. Furthermore, a mediation effect model was applied following propensity score matching to assess changes in the mediating role of social participation on the relationship between internet usage and depressive symptoms before and during the pandemic, as well as to explore changes in 3 internet usage functions. Subgroup analyses based on age and urban-rural residence were performed to assess heterogeneity in this association.

Results: The average Center for Epidemiological Studies Depression Scale (CESD-10) score among middle-aged and older Chinese people increased from 1.94 in 2018 to 1.98 in 2020. Internet usage was negatively associated with depressive symptoms (β=-.041; P<.01), with social participation serving as a partial mediator. The proportion of the mediating effect of social participation on the relationship between distinct internet usage functions and depression shifted during the pandemic: the social function declined from 12.55% in 2018 to 9.30% in 2020, while the informational and recreational function increased from 7.53% and 11.29% in 2018 to 8.85% and 16.37% in 2020, respectively. Both the total and indirect effects were statistically significant across subgroups, with a higher mediation proportion observed among rural residents and women than among urban residents and men.

Conclusions: Internet usage was negatively associated with depressive symptoms among middle-aged and older adults. Despite a noticeable increase in depression scores in 2020 compared with 2018, the mediating effect of social participation diminished, while the direct effect of internet usage became more pronounced during the pandemic. These findings underscore the need to prioritize mental health recovery in this population, promote diverse forms of social participation, and leverage the internet's potential to enhance social participation and mental well-being.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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