{"title":"通过 Fitbit 和自评问卷测量睡眠质量和体育锻炼对社区老年人健康相关生活质量的影响:横断面研究","authors":"M. Jeong, Yeongmi Ha","doi":"10.17079/jkgn.2023.00255","DOIUrl":null,"url":null,"abstract":"Purpose: This study aimed to identify influencing factors on health-related quality of life by examining relationships among sleep quality, physical activity, and health-related quality of life in older adults living in the community using a Fitbit and self-rated questionnaire. Methods: The participants were adults aged 65 years and above who were recruited from one senior university and three senior citizen centers. A total of 106 participants were included in the analysis. The data were analyzed with t-test, ANOVA, Pearson’s correlations, and multiple regression analysis. Results: According to multiple regression analysis regarding objectively measured sleep quality and physical activity using a Fitbit, the factors affecting the health-related quality of life were age (β=-.30, p=.006), subjective health status as ‘moderate’ (β=.33, p=.001), and subjective health status as ‘good’ (β=.41, p=.001). In terms of using a self-rated questionnaire, the factors affecting health-related quality of life were age (β=-.27, p=.010), subjective health status as ‘moderate’ (β=.32, p=.001), subjective health status as ‘good’ (β=.37, p=.001), and physical activity (β=.18, p=.030). Conclusion: Although the findings may not be generalizable to community-dwelling older adults due to our convenience samples, this study suggests that customized physical activity programs are required to improve health-related quality of life in community-dwelling older adults of different age groups.","PeriodicalId":52377,"journal":{"name":"Journal of Korean Gerontological Nursing","volume":"14 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of sleep quality and physical activity measured by a Fitbit and self-rated questionnaire on the health-related quality of life in community-dwelling older adults: A cross-sectional study\",\"authors\":\"M. Jeong, Yeongmi Ha\",\"doi\":\"10.17079/jkgn.2023.00255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: This study aimed to identify influencing factors on health-related quality of life by examining relationships among sleep quality, physical activity, and health-related quality of life in older adults living in the community using a Fitbit and self-rated questionnaire. Methods: The participants were adults aged 65 years and above who were recruited from one senior university and three senior citizen centers. A total of 106 participants were included in the analysis. The data were analyzed with t-test, ANOVA, Pearson’s correlations, and multiple regression analysis. Results: According to multiple regression analysis regarding objectively measured sleep quality and physical activity using a Fitbit, the factors affecting the health-related quality of life were age (β=-.30, p=.006), subjective health status as ‘moderate’ (β=.33, p=.001), and subjective health status as ‘good’ (β=.41, p=.001). In terms of using a self-rated questionnaire, the factors affecting health-related quality of life were age (β=-.27, p=.010), subjective health status as ‘moderate’ (β=.32, p=.001), subjective health status as ‘good’ (β=.37, p=.001), and physical activity (β=.18, p=.030). Conclusion: Although the findings may not be generalizable to community-dwelling older adults due to our convenience samples, this study suggests that customized physical activity programs are required to improve health-related quality of life in community-dwelling older adults of different age groups.\",\"PeriodicalId\":52377,\"journal\":{\"name\":\"Journal of Korean Gerontological Nursing\",\"volume\":\"14 9\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Korean Gerontological Nursing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17079/jkgn.2023.00255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Gerontological Nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17079/jkgn.2023.00255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Nursing","Score":null,"Total":0}
Effects of sleep quality and physical activity measured by a Fitbit and self-rated questionnaire on the health-related quality of life in community-dwelling older adults: A cross-sectional study
Purpose: This study aimed to identify influencing factors on health-related quality of life by examining relationships among sleep quality, physical activity, and health-related quality of life in older adults living in the community using a Fitbit and self-rated questionnaire. Methods: The participants were adults aged 65 years and above who were recruited from one senior university and three senior citizen centers. A total of 106 participants were included in the analysis. The data were analyzed with t-test, ANOVA, Pearson’s correlations, and multiple regression analysis. Results: According to multiple regression analysis regarding objectively measured sleep quality and physical activity using a Fitbit, the factors affecting the health-related quality of life were age (β=-.30, p=.006), subjective health status as ‘moderate’ (β=.33, p=.001), and subjective health status as ‘good’ (β=.41, p=.001). In terms of using a self-rated questionnaire, the factors affecting health-related quality of life were age (β=-.27, p=.010), subjective health status as ‘moderate’ (β=.32, p=.001), subjective health status as ‘good’ (β=.37, p=.001), and physical activity (β=.18, p=.030). Conclusion: Although the findings may not be generalizable to community-dwelling older adults due to our convenience samples, this study suggests that customized physical activity programs are required to improve health-related quality of life in community-dwelling older adults of different age groups.