首页|基于Fairlie分解法的中国老年人慢性病共病状况城乡差异研究

基于Fairlie分解法的中国老年人慢性病共病状况城乡差异研究

扫码查看
目的 分析我国城乡老年人慢性病共病状况之间存在的差异,为制定城乡特异性老年人健康管理和卫生政策提供科学依据.方法 基于2020年中国健康与养老追踪调查(CHARLS)调查数据中的9 252例60岁及以上老年人为研究对象,用Logistic回归分析法和Fairlie分解法,分析城乡老年人慢性病共病分布差异及其相关因素的贡献率.结果 在9 252例老年人中,慢性病共病患病率为66.10%;城镇老年人共病患病率高于农村老年人(68.52%比64.86%),且差异具有统计学意义(x2=12.421,P<0.001);Logistic回归分析结果显示:睡眠在6 h以上、有就业、健康自评为健康的城镇老年人慢性病共病患病率较低,65岁及以上城镇老年人共病患病率较高;睡眠在6 h以上、有就业、个人年收入在10 000元及以上、健康自评为健康、生活满意度较高的农村老年人慢性病共病患病率较低.Fairlie分解结果显示,老年人就业情况和睡眠时间对扩大老年人慢性病共病之间的城乡差异有统计学意义(P<0.05),贡献率分别为69.22%和6.92%.结论 在全球老龄化背景下,本研究探讨了城乡老年人共病患病率影响因素,研究结果提示改善老年人睡眠情况,促进老年人就业参与、社区活动及家庭互动等有利于缩短城乡健康差距,推动实现健康老龄化.
The urban-rural disparity in chronic comorbidities prevalence among elderly population based on Fairlie decomposition method
Objective To analyze the disparity in the prevalence of chronic comorbidities between the urban and rural elderly populations,providing scientific evidence to tailor health management strategies and policies.Methods Data from 9,252 participants aged 60 years and older,drawn from the 2020 China Health and Retirement Longitudinal Study(CH ARLS,2020),were analyzed.The urban-rural disparity in chronic comorbidities prevalence and the associated factors were examined using logistic regression analysis and Fairlie decomposition.Results Of the 9,252 participants,the rate of chronic comorbidities was 66.10%,with a higher prevalence observed in the urban population compared to the rural population(68.52%vs.64.86%,=12.421,P<0.001).Logistic regression analysis indicated that among the urban population,chronic comorbidities were less prevalent in participants who reported more than 6 hours of sleep,were employed,and assessed their health as good.Conversely,a higher prevalence was noted in individuals aged 65 and older.In the rural population,the rate of chronic comorbidities was lower in participants who reported more than 6 hours of sleep,were employed,had annual incomes exceeding RMB 10,000,assessed their health as good,and reported higher life satisfaction.Utilizing the Fairlie decomposition method,it was found that the differences in the prevalence of chronic comorbidities between urban and rural elderly populations were primarily attributable to employment status and sleep duration(P<0.05),with contribution rates of 69.22%and 6.92%,respectively.Conclusions In the context of global aging,this study examined the factors influencing the prevalence of comorbidity among elderly populations in urban and rural settings.The findings demonstrate that enhancing sleep quality,promoting employment opportunities,fostering community engagement,and encouraging family interaction may contribute to reducing the health disparities between urban and rural areas,thereby supporting healthy aging.

Chronic DiseaseComorbidityUrban-rural disparityElderly population

李敏莹、亢玉婷、陶睿嘉、张鹏俊、王辰

展开 >

北京中医药大学管理学院,北京 100029

北京医院科研处国家老年医学中心 中国医学科学院老年医学研究院,北京 100730

中国医学科学院北京协和医学院,北京 100730

国家呼吸医学中心 呼吸和共病全国重点实验室 中日友好医院呼吸与危重症医学科,北京 100029

展开 >

慢性病 共病现象 城乡差异 老年人

2024

中华老年医学杂志
中华医学会

中华老年医学杂志

CSTPCD北大核心
影响因子:1.606
ISSN:0254-9026
年,卷(期):2024.43(12)