The Relationships between Health Behaviors and Quality of life of the Community Elders

碩士 === 美和技術學院 === 健康照護研究所 === 93 === The purpose of this study was to explore the relationship between health behaviors and quality of life. A cross-sectional survey with structural questionnaires design was used. The measures included demographic data, health behavior and Taiwan Chinese versions of...

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Bibliographic Details
Main Authors: Chun-hua Li, 李純華
Other Authors: Lu- kui Yun
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/74700492971544603404
Description
Summary:碩士 === 美和技術學院 === 健康照護研究所 === 93 === The purpose of this study was to explore the relationship between health behaviors and quality of life. A cross-sectional survey with structural questionnaires design was used. The measures included demographic data, health behavior and Taiwan Chinese versions of Short Form-36 (SF-36). A total of 480 community elderls were participated in this atudy. Data were analyzed by descriptive statistics, Pearson’s correlation, independent t-test, one-way ANOVA and stepwise regression. The results of this study were as below: (1) each person revealed an everage of 1.53 chronic disease, hypertension was the most prevelant diasese. Subjects with different sex, age,education, occupation, and economic level were significantly different in the number of chronic disease.(2) there were significances between sex and education and smoking behavior; between age, education, marital status, occupation, and economic level and drinking behavior; between sex, age and occupation and betel nut chewing behavior; and between economic level and exercise behavior. (3) sex, educational background, marital status, occupation and economic level were significant negatively correlated to PCS and MCS. Age was negatively correlated to PCS. Number of chronic disease was negatively correlated to PCS and MCS. (4) by using stepwise regressing analysis, it was indicated that perceived sex, educational background, marital status, occucation and economic level were significant predictors of PCS with 11.7% of the total variance, occupation and educational background, were significant predictors of MCS with 7.8% of the total variance. Hopefully the results of this study could improve the elders’ quality of life and as a reference for policy makers in further consideration.