[1]李 威,崔文丽,苏 旋,等.基于CHARLS数据库的老年人抑郁调查及影响因素分析[J].医学信息,2025,38(17):57-61.[doi:10.3969/j.issn.1006-1959.2025.17.007]
　LI Wei,CUI Wenli,SU Xuan,et al.Depression Survey and Influencing Factors Analysis of the Elderly Based on CHARLS Database[J].Journal of Medical Information,2025,38(17):57-61.[doi:10.3969/j.issn.1006-1959.2025.17.007]
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基于CHARLS数据库的老年人抑郁调查及影响因素分析()

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
38卷
期数:
2025年17期
页码:
57-61
栏目:
公众健康信息学
出版日期:
2025-09-01

文章信息/Info

Title:
Depression Survey and Influencing Factors Analysis of the Elderly Based on CHARLS Database
文章编号:
1006-1959（2025）17-0057-05
作者:
李 威1; 崔文丽2; 苏 旋1; 陈仁娟1
1.西安医学院公共卫生学院，陕西 西安 710021；2.山西医科大学基础医学院，山西 晋中 030606
Author(s):
LI Wei1;  CUI Wenli2;  SU Xuan1;  CHEN Renjuan1
1.College of Public Health, Xi’an Medical University, Xi’an 710021, Shaanxi, China;2.College of Basic Medical, Shanxi Medical University, Jinzhong 030606, Shanxi, China
关键词:
老年人; 抑郁; 生活方式; 睡眠质量
Keywords:
The elderly;  Depression;  Lifestyle;  Sleep quality
分类号:
R749.4
DOI:
10.3969/j.issn.1006-1959.2025.17.007
文献标志码:
A
摘要:
目的 调查老年人的抑郁状况，探究其生活方式、睡眠质量、体育锻炼等影响因素，为制定针对性的健康政策和干预措施提供参考依据。方法 利用2020年中国健康与养老追踪调查数据（CHARLS）中≥60岁的老人，依据调查问卷中的CES-D10抑郁量表来判断老人抑郁情况，通过二元Logistic回归模型分析老人抑郁的影响因素。结果 研究对象共8233例，抑郁症状检出率为40.90%，分析结果显示女性（OR=1.59，95%CI：1.43~1.76）、失能（OR=3.15，95%CI：2.83~3.51）以及剧烈体力活动（OR=1.34，95%CI：1.20~1.49）均为老年人抑郁状况发生的危险因素。而城镇居住（OR=0.60，95%CI：0.54~0.67）、已婚（OR=0.74，95%CI：0.66~0.84）、6~8 h睡眠（OR=0.45，95%CI：0.41~0.50）以及＞8 h睡眠（OR=0.51，95%CI：0.42~0.61）、喝酒（OR=0.82，95%CI：0.73~0.91）、有其他工资（OR=0.86，95%CI：0.75~0.99）以及退休金（OR=0.83，95%CI：0.72~0.92）则为老年人发生抑郁的保护因素。结论 老年群体抑郁状况的检出率较高，应重视老年人的睡眠质量、生活方式、健康状况等问题，及时采取针对性的措施，以预防和延缓老年人抑郁问题。
Abstract:
Objective To investigate the depression status of the elderly, and to explore the influencing factors such as lifestyle, sleep quality and physical exercise, so as to provide reference for the formulation of targeted health policies and interventions. Methods The data of the elderly aged ≥60 years in the China Health and Retirement Longitudinal Study (CHARLS) in 2020 were used to judge the depression of the elderly according to the CES-D10 depression scale in the questionnaire, and the influencing factors of the depression of the elderly were analyzed by binary logistic regression model. Results A total of 8233 subjects were included in the study, and the detection rate of depressive symptoms was 40.90%. The results showed that female (OR=1.59, 95%CI: 1.43~1.76), disability (OR=3.15, 95%CI: 2.83~3.51) and vigorous physical activity (OR=1.34, 95%CI: 1.20~1.49) were risk factors for depression in the elderly, while urban residence (OR=0.60, 95%CI: 0.54~0.67), married (OR=0.74, 95%CI: 0.66~0.84), 6-8 h sleep (OR=0.45, 95%CI: 0.41~0.50) and > 8 h sleep (OR=0.51, 95%CI: 0.42~0.61), drinking (OR=0.82, 95%CI: 0.73~0.91), having other wages (OR=0.86, 95%CI: 0.75~0.99) and pension (OR=0.83, 95%CI: 0.72~0.92) were protective factors for depression in the elderly. Conclusion The detection rate of depression in the elderly population is high. Attention should be paid to the sleep quality, lifestyle and health status of the elderly, and targeted measures should be taken in time to prevent and delay the depression of the elderly.

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更新日期/Last Update: 1900-01-01