Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Department of Chronic Disease Prevention and Treatment and Health Education, Huangpu District Center for Disease Control and Prevention, Guangzhou, P.R. China.
Age Ageing. 2022 Feb 2;51(2). doi: 10.1093/ageing/afab274.
To develop and validate an index to quantify the multimorbidity burden in Chinese middle-aged and older community-dwelling individuals.
We included 20,035 individuals aged 45 and older from the China Health and Retirement Longitudinal Study (CHARLS) and 19,297 individuals aged 65 and older from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Health outcomes of physical functioning (PF), basic and instrumental activities of daily living (ADL and IADL) and mortality were obtained. Based on self-reported disease status, we calculated five commonly used western multimorbidity indexes for CHARLS baseline participants. The one that predicted the health outcomes the best was selected and then modified through a linear mixed model using the repeated individual data in CHARLS. The performance of the modified index was internally and externally evaluated with CHARLS and CLHLS data.
The multimorbidity-weighted index (MWI) performed the best among the five indexes. In the modified Chinese multimorbidity-weighted index (CMWI), the weights of the diseases varied greatly (range 0.2-5.1). The top three diseases with the highest impact were stroke, memory-related diseases and cancer, corresponding to weights of 5.1, 4.3 and 3.4, respectively. Compared with the MWI, the CMWI showed better model fits for PF and IADL with larger R2 and smaller Akaike information criterion, and comparable prediction performances for ADL, IADL and mortality (e.g. the same predictive accuracy of 0.80 for ADL disability).
The CMWI is an adequate index to quantify the multimorbidity burden for Chinese middle-aged and older community-dwelling individuals. It can be directly computed via disease status examined in regular community health check-ups to facilitate health management.
开发并验证一个适用于中国中老年社区居民的多维疾病负担量化指数。
我们纳入了中国健康与养老追踪调查(CHARLS)中 20035 名 45 岁及以上的个体和中国老年健康纵向研究(CLHLS)中 19297 名 65 岁及以上的个体。获取了他们的生理功能(PF)、基本日常生活活动(ADL)和工具性日常生活活动(IADL)以及死亡率等健康结局的相关数据。基于自我报告的疾病状态,我们计算了 CHARLS 基线参与者中五种常用的西方多维疾病负担指数。选择对健康结局预测效果最好的指数,并通过 CHARLS 中个体的重复数据,使用线性混合模型对其进行修正。使用 CHARLS 和 CLHLS 数据对内和对外评估了修正指数的性能。
在这五种指数中,多维疾病加权指数(MWI)表现最佳。在修正后的中国多维疾病加权指数(CMWI)中,疾病的权重差异很大(范围 0.2-5.1)。影响最大的前三种疾病是中风、记忆相关疾病和癌症,相应的权重分别为 5.1、4.3 和 3.4。与 MWI 相比,CMWI 对 PF 和 IADL 的模型拟合更好,R2 更大,Akaike 信息准则更小,对 ADL、IADL 和死亡率的预测性能相当(例如,ADL 残疾的预测准确性相同,均为 0.80)。
CMWI 是一种适用于量化中国中老年社区居民多维疾病负担的充分指数。它可以通过常规社区健康检查中检查的疾病状态直接计算,以促进健康管理。