结构方程建模
验证性因素分析
医学
探索性因素分析
队列
调解
日常生活活动
老年学
结构效度
心理学
队列研究
物理疗法
心理测量学
临床心理学
内科学
数学
统计
政治学
法学
作者
Ruby Yu,Jotheeswaran Amuthavalli Thiyagarajan,Jason Leung,Zhi-Hui Lu,Timothy Kwok,Jean Woo
标识
DOI:10.1007/s12603-021-1637-z
摘要
We examined the structure and predictive ability of intrinsic capacity in a cohort of Chinese older adults. We used data from the MrOS and MsOS (Hong Kong) study, which was designed to examine the determinants of osteoporotic fractures and health in older Chinese adults. We analysed baseline and the 7-year follow-up data using exploratory factor analysis, confirmatory factor analysis (CFA), and mediation analysis. The study consisted of 3736 participants at baseline (mean 72.2 years), with 1475 in the 7-year follow-up. Bi-factor CFA revealed five sub-factors labelled as ‘cognitive’, ‘locomotor’, ‘vitality’, ‘sensory’, and ‘psychological’ and one general factor labelled as ‘intrinsic capacity’. The model fits the data well, with Root Mean Square Error of Approximation (RMSEA)=0.055 (90% CI=0.053–0.058) for the 5-factor model and RMSEA=0.031 (90% CI=0.028–0.035) for the bi-factor model. Significantly lower intrinsic capacity scores were found in older age groups, women, as well as those who had lower levels of education, lower subjective social status, reported more chronic diseases, or a higher number of IADL limitations (All p<0.0001). Intrinsic capacity had a direct effect in predicting incident IADL limitations at the 7-year follow-up (β=−0.21, p<0.001). The effect was larger than the direct effect of the number of chronic diseases on incident IADL limitations (β=0.05, not significant). This study supports the construct and predictive validity of the proposed capacity domains of intrinsic capacity. The findings could inform the development of an intrinsic capacity score that would facilitate implementation of the concept of intrinsic capacity in clinical practice.
科研通智能强力驱动
Strongly Powered by AbleSci AI