Issue |
MATEC Web Conf.
Volume 119, 2017
The Fifth International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI 2016)
|
|
---|---|---|
Article Number | 01060 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/matecconf/201711901060 | |
Published online | 04 August 2017 |
Predictors of changes in quality of life among older people: comparison between the UK and Taiwan
Department of Health Industry Management, Kainan University, Taoyuan 33857, Taiwan
a Corresponding author : luciali@mail.knu.edu.tw
The purpose of this study was to compare the factors affecting change in quality of life in old age in the UK and Taiwan. Data were derived from the 1989 and 1993 waves of two nationally representative samples: the Nottingham Longitudinal Study of Activity and Ageing (NLSAA) in the UK and the Survey of Health and Living Status of the Elderlyin Taiwan (SHLSET). Quality of life was assessed using comparable measures of life satisfaction. Analysis consisted of stepwise multiple regressions, Mann-Whitney U, Chi-square, and multivariate logistic regression models to identify the factors related to changes in quality of life.There are common variables in that participants in both studies selected the factors “better perceived health relative to peers” and “improvement in self-rated health” in the stepwise regression models. Additional variables (e.g., age in the UK and satisfaction with income, walking difficulties, and having a TV or radio in Taiwan) were selected individually at different time periods in the two studies.Related to these various factors and change in quality of life, this research has helped to identify the prospect of clarifying the most important factors affecting the change in quality of life among older people in the two countries.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.