The bidirectional relationship between intrinsic capacity and catastrophic health expenditure in China: A Longitudinal Study

Yuting Kang, Hong Shi, Jie Zhang, Xue Meng, Chi Zhang, Ji Shen, Pengjun Zhang
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Abstract

Background Intrinsic capacity (IC), as a potential proxy for healthy ageing, guidance on framing the concept is limited. Furthermore, research on the relationship between IC and catastrophic health expenditure (CHE) is scarce.The current study aims to construct a validated IC framework using structural equation modelling (SEM) and examine such an association among older adults in China. Methods Using a 4-year prospective observational study, we enrolled 5,427 participants from wave 1 and wave 3 in the China Health and Retirement Longitudinal Study (CHARLS) for analysis. The SEM was used to construct IC score, and assessed its association with medical and financial burdens by using negative binomial regression and logistic mixed-effect models, where financial burden was defined as CHE according to the World Bank definitions. Results The SEM results showed a clear 5-subfactor structure for IC. After adjustment for potential confounders, the populations with poor and moderate IC had 1.927 times [95% confidence intervals (95% CI): 1.559-2.382] and 1.548 times (95% CI: 1.281-1.872) higher risk for inpatient visits in comparison with the group showing high IC, respectively, and also experiencing 2.163 times (95% CI: 1.674-2.795) and 1.687 times (95% CI: 1.347-2.112) risk for CHE, respectively. Conclusions Our analysis with both cross-sectional and longitudinal representative national data, provided an extensive picture of the adverse effects of IC loss, demonstrating that a favorable IC is important to reduce medical and financial burden. IC is applicable to more widely as a usual clinical assessment tool to reduce effectively health burden.
中国内在能力与灾难性医疗支出的双向关系:一项纵向研究
背景:内在能力(IC)作为健康老龄化的潜在代表,关于构建这一概念的指导是有限的。此外,对突发卫生费用与突发卫生费用之间关系的研究较少。本研究旨在利用结构方程模型(SEM)构建一个有效的IC框架,并在中国老年人中研究这种关联。方法采用一项为期4年的前瞻性观察研究,我们从中国健康与退休纵向研究(CHARLS)的第一和第三波中招募了5,427名参与者进行分析。SEM用于构建IC评分,并通过负二项回归和logistic混合效应模型评估其与医疗和经济负担的关系,其中经济负担根据世界银行的定义定义为CHE。结果扫描电镜结果显示了IC的明确的5子因子结构。在调整潜在混杂因素后,IC差和中度人群的住院就诊风险分别是IC高组的1.927倍[95%置信区间(95% CI): 1.559-2.382]和1.548倍(95% CI: 1.281-1.872), CHE风险分别是IC高组的2.163倍(95% CI: 1.674-2.795)和1.687倍(95% CI: 1.347-2.112)。我们对具有代表性的国家数据进行了横断面和纵向分析,提供了IC丢失的不良影响的广泛图景,表明有利的IC对于减轻医疗和经济负担很重要。IC作为一种常用的临床评估工具,可以更广泛地应用,有效地减轻健康负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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