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基于倾向性评分匹配法探索社会活动参与对老年人健康的影响

赵创艺,  杨媛,  袁空军,  周光清,  李海燕

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文章导航 > 中华疾病控制杂志  > 2023 >  27(8): 974-978
赵创艺, 杨媛, 袁空军, 周光清, 李海燕. 基于倾向性评分匹配法探索社会活动参与对老年人健康的影响[J]. 中华疾病控制杂志, 2023, 27(8): 974-978. doi: 10.16462/j.cnki.zhjbkz.2023.08.017
引用本文: 赵创艺, 杨媛, 袁空军, 周光清, 李海燕. 基于倾向性评分匹配法探索社会活动参与对老年人健康的影响[J]. 中华疾病控制杂志, 2023, 27(8): 974-978. doi: 10.16462/j.cnki.zhjbkz.2023.08.017
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ZHAO Chuangyi, YANG Yuan, YUAN Kongjun, ZHOU Guangqing, LI Haiyan. Impact of social activity participation on the health of the elderly: based on propensity score matching method[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(8): 974-978. doi: 10.16462/j.cnki.zhjbkz.2023.08.017
Citation: ZHAO Chuangyi, YANG Yuan, YUAN Kongjun, ZHOU Guangqing, LI Haiyan. Impact of social activity participation on the health of the elderly: based on propensity score matching method[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(8): 974-978. doi: 10.16462/j.cnki.zhjbkz.2023.08.017
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基于倾向性评分匹配法探索社会活动参与对老年人健康的影响

doi: 10.16462/j.cnki.zhjbkz.2023.08.017
  • 1.

    南方医科大学卫生管理学院管理学系，广州 510515

  • 2.

    南方医科大学南方医院健康管理中心，广州 510515

  • 3.

    南方医科大学研究生院书记办公室，广州 510515

基金项目: 

国家自然科学基金 U1132001

广东省科技计划项目 2017A030223004

详细信息
    通讯作者:

    李海燕，E-mail：lhy@smu.edu.cn

    周光清，E-mail：13318898668@189.cn

  • 中图分类号: R161.7

Impact of social activity participation on the health of the elderly: based on propensity score matching method

  • 1.

    Department of Management, School of Health Management, Southern Medical University, Guangzhou 510515, China

  • 2.

    Health Management Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China

  • 3.

    Clerk′s Office, Graduate School of Southern Medical University, Guangzhou 510515, China

Funds: 

National Natural Science Foundation of China U1132001

Guangdong Science and Technology Project 2017A030223004

More Information

    摘要
  • 摘要:   目的  研究社会活动参与对老年人健康的影响。  方法  采用2018年中国健康与养老追踪调查(China Health and Retirement Longitudinal Study, CHARLS)的调查数据，运用倾向性评分匹配法(propensity score matching, PSM)、logistic回归分析模型和工具变量法进行分析。  结果  logistic回归分析模型分析结果显示，匹配前社会活动参与对老年人抑郁的影响无统计学意义，参与社会活动的老年人日常生活活动能力受损的风险是未参与社会活动老年人的0.795倍(OR=0.795, 95% CI: 0.712~0.889, P＜0.001)。匹配后参与社会活动的老年人患抑郁或日常生活活动能力受损的可能性均低于未参与社会活动的老年人(OR=0.971, 95% CI: 0.964~0.978, P＜0.001; OR=0.689, 95% CI: 0.628~0.889, P＜0.001)。两阶段最小二乘法(two stage least square, 2SLS)回归结果显示，社会活动参与对老年人抑郁和日常生活活动能力受损均有抑制作用(β=-19.622, P＜0.001; β=-3.999, P＜0.001)。  结论  社会活动参与有利于改善老年人的日常生活活动能力和减少抑郁情绪，应采取措施提高老年人的社会活动参与度，促进健康老龄化。
    Abstract:   Objective  This study aimed to explore the impact of social participation on the health of the elderly.  Methods  Data of the 2018 China Health and Retirement Longitudinal Survey (CHARLS) was obtained and studied with propensity score matching method (PSM), logistic regression model and instrumental variables regression.  Results  The logistic regression showed that the effect of social activity participation on depression in the elderly before PSM was not statistically significant. The risk of impaired activities of daily living of the elderly who participated in social activities was 0.795 times higher than that of the elderly who did not participate in social activities (OR=0.795, 95% CI: 0.712-0.889, P < 0.001). After PSM, the elderly who participated in social activities were less likely to suffer from depression or impaired activities of daily living than the elderly who did not participate in social activities (OR=0.971, 95% CI: 0.964-0.978, P < 0.001; OR=0.689, 95% CI: 0.628-0.889, P < 0.001). The results of two-stage least squares (2SLS) regression showed that social activity participation had an inhibitory effect on depression and impairment of activities of daily living in the elderly (β=-19.622, P < 0.001; β=-3.999, P < 0.001).  Conclusions  Social activity participation can improve the activities of daily living of the elderly and reduce depression. Measures should be taken to improve the participation of the elderly in social activities and to promote healthy aging.
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  • 表  1  PSM前后研究对象特征比较

    Table  1.   Comparison of the characteristics of the study subjects before and after PSM

    变量Variable PSM匹配前Before PSM PSM匹配后After PSM
    参与社会活动①
    Participate in social activities(n=4 886)    		 未参与社会活动①
    Not participatingin social activities(n=5 537)    		 t/χ2值
    value    		 P值
    value    		 参与社会活动①
    Participate in social activities(n=3 765)    		 未参与社会活动①
    Not participating in social activities(n=3 765)    		 t/χ2值
    value    		 P值
    value
    年龄组/岁, x ±s Age group/year, x ±s 68.55±6.80 69.90±7.43 -9.513 ＜0.001 68.82±6.89 69.12±7.18 -1.843 0.065
    性别Sex 0.779 0.377 0.065 0.799
      男Male 2 357(48.24) 2 719(49.11) 1 690(44.89) 1 701(45.18)
      女Female 2 529(51.76) 2 818(50.89) 2 075(55.11) 2 064(54.82)
    居住地Residence 197.099 ＜0.001 0.328 0.567
      城市Urban 1 607(32.96) 1 146(20.78) 1 019(27.07) 997(26.48)
      农村Rural 3 268(67.04) 4 368(79.22) 2 746(72.93) 2 768(73.52)
    婚姻状态Marriage 5.482 0.140 2.288 0.515
      已婚Married 3 856(78.92) 4 319(78.00) 2 955(78.49) 2 968(78.83)
      离异Divorce 48(0.98) 50(0.90) 33(0.88) 38(1.01)
      丧偶Widowed 956(19.57) 1 119(20.21) 759(20.16) 733(19.47)
      未婚Unmarried 26(0.53) 49(0.89) 18(0.47) 26(0.69)
    教育水平Education 265.955 ＜0.001 1.693 0.638
      文盲Llliteracy 2 302(47.11) 3 329(60.12) 1 977(52.51) 2 027(53.84)
      小学Primary school 1 059(21.68) 1 142(20.63) 880(23.37) 838(22.26)
      初中Junior middle school 874(17.89) 733(13.24) 614(16.31) 607(16.12)
      高中及以上High school and above 651(13.32) 333(6.01) 294(7.81) 293(7.78)
    吸烟Smoking 6.154 0.013 0.377 0.539
      是Yes 1 754(39.72) 1 811(37.19) 1 484(39.42) 1 458(38.73)
      否No 2 662(60.28) 3 058(62.81) 2 281(60.58) 2 307(61.27)
    饮酒Drinking 70.839 ＜0.001 1.566 0.211
      是Yes 1 704(34.88) 1 509(27.25) 1 174(31.18) 1 124(29.85)
      否No 3 181(65.12) 4 028(72.75) 2 591(68.82) 2 641(70.15)
    注：PSM, 倾向性评分匹配法。
    ①以[人数(占比/%)]表示。
    Note: PSM, propensity score matching.
    ① [Number of people (proportion /%)].
    下载: 导出CSV

    表  2  社会活动参与对老年人身心健康影响的logistic回归分析模型分析

    Table  2.   Logistic model of the impact of social activity participation on the physical and mental health of the elderly

    PSM 变量Variable 抑郁Depression 日常生活活动能力Activities of daily living
    β值value OR值(95% CI)OR value (95% CI) P值value β值value OR值(95% CI)OR value (95% CI) P值value
    匹配前Before PSM 常量Constant -0.454 0.635 ＜0.001 1.429 4.176 ＜0.001
    社会活动参与
    Social activity participation    		 -0.026 0.974(0.900~1.054) 0.519 -0.229 0.795(0.712~0.889) ＜0.001
    匹配后After PSM 常量Constant -1.793 0.172 ＜0.001 1.311 3.710 ＜0.001
    社会活动参与
    Social activity participation    		 -0.29 0.971(0.964~0.978) 0.004 -0.373 0.689(0.628~0.889) ＜0.001
    注：PSM, 倾向性评分匹配法。
    Note: PSM, propensity score matching.
    下载: 导出CSV

    表  3  社会活动参与对老年人身心健康影响的2SLS模型

    Table  3.   2SLS model of the impact of social activity participation on the physical and mental health of the elderly

    变量Variable 抑郁Depression 日常生活活动能力Activities of Daily Living
    OLS 2SLS OLS 2SLS
    一阶段One Step 二阶段Two Step 一阶段One Step 二阶段Two Step
    工具变量Instrumental variables 0.070 ② 0.070 ②
    社会活动参与Social activity participation -0.209 ① -19.622 ② -1.140 ② -3.999 ①
    性别Sex 1.351 ② 0.094 ② 3.194 ② 1.424 ② 0.094 ② 1.687 ②
    年龄Age -0.134 ② -0.005 ② -0.238 ② 0.187 ② -0.005 ② 0.172 ②
    居住地Residence 0.643 ② -0.100 ② -1.313 ③ 0.417 ② -0.100 ② 0.132
    教育水平Educatiom -0.209 ③ 0.065 ② 1.096 ② -0.335 ② 0.065 ② -0.147
    婚姻状态Marriage 0.159 0.021 ② 0.538 ③ 0.217 ② 0.021 ② 0.272 ②
    吸烟Smoking -0.023 0.032 ② 0.593 ① 0.333 ② 0.032 ③ 0.423 ③
    饮酒Drinking -0.192 0.090 ② 1.581 ② -1.119 ② 0.090 ② -0.864 ②
    常量Constant 14.812 ② 0.648 ② 28.294 ① -10.069 ② 0.648 ② -8.113 ②
    一阶段F值F value of the One Step 62.493 ③ 62.493 ③
    注：2SLS, 两阶段最小二乘法；OLS, 普通最小二乘法。
    ① P＜0.05。② P＜0.001。③ P＜0.01。
    2SLS, two stage least square; OLS, ordinary least squares.
    ① P＜0.05. ② P＜0.001. ③ P＜0.01.
    下载: 导出CSV
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  • 收稿日期:  2021-12-23
  • 修回日期:  2022-04-28
  • 网络出版日期:  2023-09-02
  • 刊出日期:  2023-08-10

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