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Depression status and its influencing factors in urban and rural elderly in China |
Liu Haixia1,2, Yan Haosen1, Li Rui1, Xu Zhaoyang1, Xu Mingdan1 |
1 School of Public Health and Management, Binzhou Medical University, Yantai 264003, China;
2 School of Public Health, Xi′an Jiaotong University Health Science Center, Xi′an 710061; China |
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Abstract Objective To analyze the status and influencing factors of depression symptoms in urban and rural elderly in China.Methods The data were collected from the fourth round of China Health and Retirement Longitudinal Study (CHARLS) and the 10-item Center for Epidemiological Studies Depression Scale (CES-D-10) to assess depressive symptoms of the elderly. Logistic regression model was used to analyze the influencing factors of depression of the elderly.Results The positive rate of depression symptoms in 7 690 elderly was 30.73%, with 21.5% in urban area and 43.0% in rural area. Compared with that of the urban elderly, the OR (95%CI) of the rural elderly was 1.515 (1.311-1.751). Compared with that of males, the OR (95%CI) of females was 1.609 (1.423-1.820). The OR (95%CI) of the widowed elderly was 1.222 (1.052-1.419), compared with the married elderly who lived with their spouses. Compared with that of the elderly who were completely satisfied with their life, the OR (95%CI) of more satisfied, less satisfied and completely dissatisfied were 1.963 (1.472-2.614), 7.278 (5.179-10.228) and 16.922 (9.997-28.644) respectively. Compared with that of the elderly without chronic diseases, the OR (95%CI)of the elderly with chronic diseases was 1.221 (1.090-1.369). Compared with that of the illiterate, the OR (95%CI) of the elderly with junior high school education, senior high school/technical secondary school/vocational high school education, undergraduate education and above were 0.677 (0.557-0.823), 0.482 (0.370-0.626) and 0.339 (0.137-0.838) respectively. Compared with that of the elderly with sleep time ≤ 5 h, the OR (95%CI) of the elderly with sleep time of 6~9 h and ≥10 h were 0.481 (0.428-0.541) and 0.537 (0.440-0.656) respectively. Compared with that of the elderly without social activities, the OR (95%CI) of the elderly with social activities was 0.865 (0.773-0.968). The OR (95%CI) of the elderly having wage income was 0.794 (0.691-0.913).Conclusion Rural area, female, widowhood, low life satisfaction, and chronic diseases were risk factors for depression symptoms in older adults. High educational level, long sleep time, social activities, and income in the past year were protective factors for depression symptoms in the elderly. Targeted intervention measures should be put forward on the basis of accurately identifying the influencing factors of depression in urban and rural elderly.
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Received: 02 March 2022
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[1]OUYANG P, SUN W J. The association between depressive symptoms and fall accidents among middle-aged and elderly people in China[J]. Environ Health Prev Med, 2018,23(1):42-49. DOI: 10.1186/s12199-018-0735-y.
[2]WILKINSON P, RUANE C, TEMPEST K. Depression in older adults [J]. BMJ, 2018,363:k4922. DOI:10.1136/bmj.k4922.
[3]HUANG Y, LIU Z, WANG H, et al. The China Mental Health Survey (CMHS): I. background, aims and measures[J]. Soc Psychiatry Psychiatr Epidemiol,2016,51(11):1559-1569. DOI: 10.1007/s00127-016-1270-z.
[4]张玲,徐勇,聂宏伟.2000—2010年中国老年人抑郁患病率的meta分析[J].中国老年学杂志,2011,31(17):3349-3352.DOI:10.3969/j.issn.1005-9202.2011.17.066.
[5]ZHAO Y H, HU Y, SMITH J P, et al. Cohort profile: the China Health and Retirement Longitudinal Study (CHARLS)[J]. Int J Epidemiol,2014,43(1):61-68. DOI: 10.1093/ije/dys203.
[6]CHEN H, MUI A C. Factorial validity of the Center for Epidemiologic Studies Depression Scale short form in older population in China[J]. Int Psychogeriatr, 2014,26(1):49-57. DOI:10.1017/S1041610213001701.
[7]QIN T, LIU W, YIN M, et al. Body mass index moderates the relationship between C-reactive protein and depressive symptoms: evidence from the China Health and Retirement Longitudinal Study[J]. Sci Rep, 2017,7:39940. DOI:10.1038/srep39940.
[8]胡明月,熊大艳,胡恒瑜,等.45岁及以上人群抑郁对日常活动能力影响的meta分析[J].中国心理卫生杂志,2020,34(5):416-422.DOI:10.3969/j.issn.1000-6729.2020.5.006.
[9]JIANG C H, ZHU F, QIN T T. Relationships between chronic diseases and depression among middle-aged and elderly people in China: A prospective study from CHARLS[J]. Curr Med Sci, 2020, 40(5):858-870. DOI:10.1007/s11596-020-2270-5.
[10]HE S, SONG D, JIAN W Y. The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China[J]. Inquiry,2020,57:46958020965470. DOI:10.1177/0046958020965470.
[11]景璐石,冯景蕙,陈贤清,等.农村丧偶老年人抑郁状况与社会支持、应对方式的相关性[J].中国老年学杂志,2021,41(11):2414-2416.DOI:10.3969/j.issn.1005-9202.2021.11.050.
[12]康琪,吕跃斌,魏源,等.中国8个长寿地区65岁及以上老年人抑郁症状影响因素分析[J].中华流行病学杂志,2020,41(1):20-24.DOI:10.3760/cma.j.issn.0254-6450.2020.01.005.
[13]张洪惠,李红.老年慢性病患者抑郁情绪的研究进展[J].中华护理教育,2008,5(2):95-97.DOI:10.3761/j.issn.1672-9234.2008.02.021.
[14]犹忆,孟玺,邱荷语.我国中老年人抑郁、肥胖和功能损失的关系:基于CHARLS的实证研究[J].现代预防医学,2019,46(19):3580-3584. |
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