Effects of Radio-Taiso on Health-Related Quality of Life in Older Adults with Frailty: A Randomized Controlled Trial.

Journal of epidemiology(2024)

引用 0|浏览0
暂无评分
摘要
BACKGROUND:Radio-Taiso could be a sustainable public health strategy for maintaining quality of life (QoL) in older adults with frailty. This study aimed to investigate whether Radio-Taiso provided greater benefits for health-related quality of life (HR-QoL) and to identify the mechanisms underlying the effectiveness in this population. METHODS:A 12-week randomized controlled trial enrolled 226 older Japanese adults with pre-frailty or frailty, assessed using the modified frailty phenotype. Participants were randomly allocated to the intervention (Radio-Taiso + nutrition program) or control (nutrition program) groups. The Radio-Taiso program comprised five 60-min group sessions and daily practice at the participants' homes. The primary outcome was the change in the mental domain of HR-QoL, assessed using the SF-36®. The secondary outcomes included six physical fitness items and exercise self-efficacy. RESULTS:Overall, 104 and 105 participants in the intervention and control groups, respectively, were analyzed based on the intention-to-treat principle. The median (interquartile range) daily practice rate of Radio-Taiso was 94.1% (73.2-98.8%). Although general linear models adjusted for baseline values and allocation stratification factors showed that the intervention group obtained greater benefits (adjusted mean differences [95% confidence intervals]) in the up-and-go (0.3 [0.1, 0.6] s), 2-min step-in-place (-3.2 [-6.2, -0.2] steps) tests, and exercise self-efficacy scale (-1.4 [-2.6, -0.1] points) than the control group, there were no group differences in changes in the mental domain score of HR-QoL. CONCLUSIONS:Radio-Taiso provided greater benefits for agility/dynamic balance, aerobic endurance, and exercise self-efficacy in older adults with frailty; however, these changes do not improve HR-QoL.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要