Liu Li-Fan, Su Pei-Fang
Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan city, Taiwan.
Department of Statistics, National Cheng Kung University, Tainan, Taiwan.
Geriatr Gerontol Int. 2017 May;17(5):697-707. doi: 10.1111/ggi.12774. Epub 2016 May 31.
The present study aimed to identify the health profiles of older adults by using latent class analysis to investigate health heterogeneity and to determine what factors predicted healthy aging among an oldest-old sample cohort that was followed up for 14 years in Taiwan.
Data were drawn from five waves (carried out in 1993, 1996, 1999, 2003 and 2007) of the Taiwan Longitudinal Study on Aging to examine the changes in health heterogeneity in a nationally representative oldest-old cohort of Taiwanese. Overall, data from a total of 11 145 observations of 3155 older adults were considered. The influential factors predicting health changes were analyzed by using a generalized estimating equation.
The results showed that four health profiles were identified among the aging population observed in the Taiwan Longitudinal Study on Aging. With increasing age, the combined effects of the physical functioning, cognitive and emotional health, and comorbidities of older adults significantly impact their health changes. Apart from health deteriorating with age and sex disparities, educational and economic status, health behaviors, and social participation at the individual level were found to be the robust factors in predicting healthy aging.
In considering what factors impact healthy aging, we suggest that a person-centered approach would be useful and critical for policy makers to understand the compositions of health profiles and the influencing factors in view of a life-course perspective. Based on the factors identified as influencing healthy aging at the individual level, it is imperative from a policy-making perspective to maximize opportunities for healthy aging. Geriatr Gerontol Int 2017; 17: 697-707.
本研究旨在通过潜在类别分析来识别老年人的健康状况,以调查健康异质性,并确定在台湾追踪了14年的高龄样本队列中,哪些因素可预测健康老龄化。
数据取自台湾老龄化纵向研究的五轮调查(分别于1993年、1996年、1999年、2003年和2007年进行),以检验台湾具有全国代表性的高龄队列中健康异质性的变化。总共纳入了3155名老年人的11145条观测数据。使用广义估计方程分析预测健康变化的影响因素。
结果显示,在台湾老龄化纵向研究中观察到的老年人群体中,识别出了四种健康状况。随着年龄增长,老年人身体功能、认知与情绪健康以及共病的综合影响对其健康变化有显著影响。除了健康状况随年龄和性别差异而恶化外,还发现个人层面的教育和经济状况、健康行为以及社会参与是预测健康老龄化的有力因素。
在考虑哪些因素影响健康老龄化时,我们建议以人为主的方法对政策制定者从生命历程角度理解健康状况的构成和影响因素很有用且至关重要。基于在个体层面确定的影响健康老龄化的因素,从政策制定角度来看,必须最大限度地增加实现健康老龄化的机会。《老年医学与老年学国际杂志》2017年;17: 697 - 707。