农村老年人短视频成瘾倾向与抑郁的关系:横断面研究

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Ping Dong, Xianqi Zhang, Wenqiang Yin, Yongli Shi, Mengyuan Xu, Haoqi Li, Xianglan Zhuge, Ziyuan Li, Kui Sun, Zhongming Chen
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引用次数: 0

摘要

背景:抑郁症是老年人中普遍存在的一种精神疾病,与一些不良的健康问题和较低的生活质量有关。在人口老龄化日益严重的背景下,应对晚年抑郁症已成为一项重要的公共卫生优先事项。越来越多的证据表明,短视频成瘾倾向可能是抑郁症的一个新的危险因素。然而,关于老年人短视频成瘾倾向与抑郁症之间的潜在联系的讨论有限。目的:探讨农村老年人短视频成瘾倾向与抑郁之间的关系。此外,本研究旨在探讨视疲劳和睡眠效率在短视频成瘾倾向与抑郁之间的中介作用。方法:采用面对面访谈设计,收集2024年10月至2025年1月中国2个省份872名年龄≥60岁的农村老年人的有效数据。参与者被要求完成短视频成瘾倾向(短视频成瘾量表)、视疲劳(11项视疲劳调查问卷)、睡眠效率(实际睡眠时间和晚上在床上的时间)和抑郁(流行病学研究中心抑郁量表)的自我报告。采用SPSS 26.0中PROCESS 4.1宏的模型6进行线性回归分析,评估短视频成瘾倾向与抑郁之间的关系,并在调整性别、年龄、教育程度和婚姻状况后,检验视疲劳和睡眠效率在这种关系中的中介作用。结果:本研究中抑郁症患病率为27.8%(242/872)。短视频成瘾倾向与抑郁呈显著正相关(β= 0.263;结论:我们强调了短视频成瘾倾向与抑郁之间的直接和统计上的实质性关系,视疲劳和睡眠效率可能是潜在的中介因素。我们的研究结果预测,指导和帮助农村老年人适当使用短视频应用,解决视疲劳问题,提高睡眠效率可能是改善他们心理健康,预防和延缓抑郁症发生和发展的有价值的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship Between Short Video Addiction Tendency and Depression Among Rural Older Adults: Cross-Sectional Study.

Background: Depression, a prevalent mental illness among older people, is associated with some adverse health problems and lower quality of life. Against the backdrop of a growing aging population, coping with late-life depression has become an important public health priority. Emerging evidence suggests that short video addiction tendency may be a new risk factor for depression. However, there has been limited discussion on the potential association between short video addiction tendency and depression among older adults.

Objective: We aimed to investigate the relationship between short video addiction tendency and depression in a sample of rural older adults. In addition, we aimed to examine the mediating roles of asthenopia and sleep efficiency in the relationship between short video addiction tendency and depression.

Methods: A face-to-face interview design was used to collect valid data from 872 rural older adults aged ≥60 years from October 2024 to January 2025 in 2 provinces of China. Participants were requested to complete self-report measures on short video addiction tendency (Short Video Addiction Scale), asthenopia (11-item Asthenopia Survey Questionnaire), sleep efficiency (actual sleep time and time in bed at night), and depression (Center for Epidemiologic Studies Depression Scale). Linear regression analyses were performed using model 6 of the PROCESS 4.1 macro in SPSS 26.0 to assess the relationship between short video addiction tendency and depression and to examine the mediating roles of asthenopia and sleep efficiency in this relationship, adjusting for sex, age, education, and marital status.

Results: We observed that the prevalence of depression was 27.8% (242/872) in this study. There was a significant positive relationship between short video addiction tendency and depression (β=.263; P<.001). Short video addiction tendency affected depression through 3 different pathways: the mediating role of asthenopia (β=.084, 95% CI .059-.114); the mediating role of sleep efficiency (β=.021, 95% CI .001-.043); and the chain mediating role of asthenopia and sleep efficiency (β=.017, 95% CI .010-.026). The effect values of the 3 pathways accounted for 31.94%, 7.99%, and 6.46% of the total effect, respectively.

Conclusions: We highlighted a direct and statistically substantial relationship between short video addiction tendency and depression, with asthenopia and sleep efficiency serving as potential mediating factors. Our findings predicted that guiding and assisting rural older adults to use short video apps appropriately, addressing asthenopia, and enhancing sleep efficiency may be a valuable approach to improve their mental health, preventing and delaying the occurrence and development of depression.

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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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