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杨晶, 李连友, 潘昌健, 周新发. 基于RIF-I-OLS分解法中国城镇老年人健康不平等影响因素分析[J]. 中国公共卫生, 2022, 38(4): 404-409. DOI: 10.11847/zgggws1132884
引用本文: 杨晶, 李连友, 潘昌健, 周新发. 基于RIF-I-OLS分解法中国城镇老年人健康不平等影响因素分析[J]. 中国公共卫生, 2022, 38(4): 404-409. DOI: 10.11847/zgggws1132884
YANG Jing, LI Lian-you, PAN Chang-jian, . Influencing factors of health inequality among urban elderly in China: a RIF-I-OLS decomposition analysis[J]. Chinese Journal of Public Health, 2022, 38(4): 404-409. DOI: 10.11847/zgggws1132884
Citation: YANG Jing, LI Lian-you, PAN Chang-jian, . Influencing factors of health inequality among urban elderly in China: a RIF-I-OLS decomposition analysis[J]. Chinese Journal of Public Health, 2022, 38(4): 404-409. DOI: 10.11847/zgggws1132884

基于RIF-I-OLS分解法中国城镇老年人健康不平等影响因素分析

Influencing factors of health inequality among urban elderly in China: a RIF-I-OLS decomposition analysis

  • 摘要:
      目的  了解中国城镇老年人健康不平等影响因素,为促进平等健康老龄化提供参考依据。
      方法  收集2005 — 2018年中国老年健康影响因素跟踪调查(CLHLS)中16170名 ≥ 65岁城镇老年人相关数据,从行动指标、身体活动指标、社会活动指标和症状问题指标4个维度综合测度中国城镇老年人的健康不平等状况及其变化趋势,并应用RIF-I-OLS分解法对城镇老年人健康不平等影响因素进行分析。
      结果  中国城镇老年人健康水平从2005年的0.6615上升到2018年的0.7211;城镇老年人之间存在亲富性健康不平等,但是健康不平等指数WI和EI均随时间波动变化,分别从2005年的0.0269和0.0258下降到2018年的0.0225和0.0207,且低龄老年人较高龄老年人更易面临健康不平等;经RIF-I-OLS分解法得到4种健康不平等指数影响因素回归分析的结果均显示,前一年医疗总费用、病重时能否及时就医和自助养老是抑制城镇老年人健康不平等的重要因素,而生理年龄差异、受教育水平差距、贫富不均的家庭付费比、养老金不平等和当前锻炼行为分化会加剧城镇老年人的健康不平等。
      结论  经济社会因素的不平等是中国城镇老年人健康不平等的形成诱因,而提高医疗卫生保障公平性及可持续性、减轻家庭疾病负担和改善老年人养老保障方式则能够缓冲、补偿或抑制中国城镇老年人健康不平等问题。

     

    Abstract:
      Objective   To examine factors affecting health inequality of urban elderly in China and to provide evidences for promoting equality in healthy aging.
      Methods  The data on 16170 urban elderly aged ≥ 65 years were extracted from Chinese Longitudinal Healthy Longevity Survey (CLHLS) conducted yearly from 2005 to 2018. Health inequality and its changing trend among the elderly were comprehensively assessed with mobility scale, physical activity scale, social activity scale, and symptom-problem complexity scale. Recentered influence function-index-ordinary least squares (RIF-I-OLS) decomposition method was used to analyze influencing factors of health inequality among the elderly.
      Results   Among the elderly surveyed, the average score for quality of well-being scale increased from 0.66 in 2005 to 0.72 in 2018. An income-related health inequality was observed among the elderly and the Wagstaff′s index (WI) and Erreygers′s index (EI) for health inequality fluctuated over time, decreasing from 0.0269 and 0.0258 in 2005 to 0.0225 and 0.0207 in 2018, indicating that individuals at younger ages were more likely to have health inequality compared to the elderly at old ages. All the results of regression analysis on influencing factors for the four-category health inequality indexes obtained by the RIF-I-OLS decomposition method demonstrated that total medical expense in previous one year, availability of timely medical treatment for major disease, and self-supported living at older age were protective factors against the health inequality; whereas, disparities in age/education/family medical payment ratio, pension inequality, and differentiation of current physical activity could exacerbate the health inequality among the urban elderly.
      Conclusion  Among urban elderly in China, unequal socioeconomic status is an incentive factor for health inequality; promotion in the fairness and efficiency of medical health system, household′s reduction in disease burden, and improvement in the redistribution of pension system may buffer and compensate the health inequality.

     

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