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翟亚, 尹文强, 李万鹏, 杨春晓, 李秋莎, 亓霏, 黄冬梅. 中国老年人互联网使用现状及其对抑郁症状影响[J]. 中国公共卫生, 2023, 39(3): 365-369. DOI: 10.11847/zgggws1138754
引用本文: 翟亚, 尹文强, 李万鹏, 杨春晓, 李秋莎, 亓霏, 黄冬梅. 中国老年人互联网使用现状及其对抑郁症状影响[J]. 中国公共卫生, 2023, 39(3): 365-369. DOI: 10.11847/zgggws1138754
ZHAI Ya, YIN Wen-qiang, LI Wan-peng, . Internet use and its impact on depression among elderly people in China, 2018: a CFPS data-based analysis[J]. Chinese Journal of Public Health, 2023, 39(3): 365-369. DOI: 10.11847/zgggws1138754
Citation: ZHAI Ya, YIN Wen-qiang, LI Wan-peng, . Internet use and its impact on depression among elderly people in China, 2018: a CFPS data-based analysis[J]. Chinese Journal of Public Health, 2023, 39(3): 365-369. DOI: 10.11847/zgggws1138754

中国老年人互联网使用现状及其对抑郁症状影响

Internet use and its impact on depression among elderly people in China, 2018: a CFPS data-based analysis

  • 摘要:
      目的  了解中国老年人互联网使用现状及其对抑郁症状影响,为提高老年人心理健康、降低抑郁的发生提供参考依据。
      方法  收集2018年中国家庭追踪调查(CFPS)数据中6302名 ≥ 60岁老年人的相关数据,分析中国老年人互联网使用现状及其对抑郁症状的影响。
      结果  6302名 ≥ 60岁中国老年人中,使用互联网者789人,互联网使用比例为12.52 %;抑郁症状阳性537例,检出率为8.52 %。在控制了性别、年龄、文化程度、婚姻状况、户口类型、是否有医疗保险、是否领取养老保险、是否吸烟、是否饮酒、是否锻炼、是否患慢性病、生活自理程度、与子女联系频率、与子女关系和自评健康状况等混杂因素后,多因素非条件logistic回归分析结果显示,使用互联网中国老年人出现抑郁症状阳性的风险为不使用互联网中国老年人的0.444倍(OR = 0.444, 95 % CI = 0.268~0.735)。
      结论  中国老年人互联网使用率较低,使用互联网有助于降低老年人的抑郁患病风险。

     

    Abstract:
      Objective  To examine the prevalence of Internet use and its impact on depression symptoms among community elderly in China and to provide evidence for improving mental health of the elderly.
      Methods  The data on 6 302 community elderly ( ≥ 60 years old) were extracted from one round of China Family Panel Studies (CFPS) conducted in 2018 across China. The depression symptoms of the elderly were assessed with Center for Epidemiological Studies Depression Scale (CES-D) in the study.
      Results  Of all the elderly, 789 (12.52%) reported Internet use and 537 (8.52%) were identified as having depression symptoms. Unconditional multivariate logistic regression analysis showed that the elderly being Internet users were less likely to have depression symptoms (odds ratio = 0.444, 95% confidence interval: 0.268 – 0.735) compared to the elderly not surfing the Internet after adjusting for gender, age, education level, marital status, type of household registration, medical insurance, pension insurance, smoking, alcohol drinking, physical exercise, chronic disease status, self-care capability, frequency of contacting with children, relationship with children, and self-rated health.
      Conclusion   Among community elderly in China, the prevalence rate of Internet use was low and the elderly Internet users could be at a reduced risk of having symptoms of depression.

     

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