The trajectory of physical function among elderly in Taiwan

碩士 === 中山醫學大學 === 公共衛生學系碩士班 === 99 === Objectives:As life expectancy lengthens and prevalence of disability increases in elderly, it is important to understand the early stage of disability, mobility limitations. This longitudinal study aims at the relation between mobility trajectory and the poten...

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Bibliographic Details
Main Authors: Yu-Cheng, 趙育晟
Other Authors: 葉志嶸
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/67492408245334613182
Description
Summary:碩士 === 中山醫學大學 === 公共衛生學系碩士班 === 99 === Objectives:As life expectancy lengthens and prevalence of disability increases in elderly, it is important to understand the early stage of disability, mobility limitations. This longitudinal study aims at the relation between mobility trajectory and the potential risk factors including gender, age, education level, marital status, exercise, drinking, smoking, disease status, self-rated health, and depression status. The association between mobility trajectory and Instrumental Activities of Daily Living (IADL) and Activities of Daily Living (ADL) is investigated. Methods:Four-wave longitudinal data from “The Survey of Health and Living Status of the Near Elderly and Elderly in Taiwan” in 1996, 1999, 2003, and 2007 were included for trajectory analysis. Result: In comparison with the “good maintenance” group, both the “poor maintenance, slow impairment” and the “poor maintenance, fast impairment” groups were related to the potential risk factors including gender, age, disease status, self-rated health, and depression status (OR=1.9, 1.04, 3.74, 1.69, and 1.6 for the former group, and OR=3.38, 1.07, 8.23, 1.72, and 1.89 for the later, respectively). Education level was a protective factor to mobility limitations. In addition, mobility trajectory of each group was positively correlated with IADL. Nevertheless, only two groups, the “poor maintenance, slow impairment” and “poor maintenance, rapid impairment” were positively correlated with ADL. Conclusion: Gender, age, disease status, self-rated health, depression status increased the risk of mobility limitations, especially in the “poor maintenance, rapid increase” group. Mobility trajectory appeared to have better association with future IADL.