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农村日裔老年人的驾车状态和生活安排与肌肉减少症的关系:一项横断面研究。

Car Driving Status and Living Arrangement Associated with Sarcopenia among Rural Japanese Older Adults: A Cross-Sectional Study.

机构信息

Department of Sports Sociology and Health Sciences, Faculty of Sociology, Kyoto Sangyo University, Kyoto 603-8555, Japan.

Center for Community-Based Healthcare Research and Education (CoHRE), Head Office for Research and Academic Information, Shimane University, Izumo 693-8501, Japan.

出版信息

Int J Environ Res Public Health. 2021 Dec 31;19(1):414. doi: 10.3390/ijerph19010414.

Abstract

Ensuring mobility after driving cessation is an important public health issue to prevent functional limitations, but this issue is still not fully understood in rural settings. The aim of this study was to test the hypothesis that being a non-driver and living alone is associated with a greater risk of sarcopenia among the community-dwelling elderly in rural Japanese areas. This study was conducted in 2018 and data from 738 participants were used. Sarcopenia was assessed by measuring walking speed, handgrip strength, and skeletal muscle mass. Car driving status and living arrangement were collected using self-reported questionnaires and face-to-face interviews. Four groups were set to determine combined conditions of car driving status and living arrangement. Logistic regression analysis was performed to estimate the odds ratio (OR) and a 95% confidence interval of sarcopenia after adjustment for confounding factors. Compared with the reference group (driver and living with others), the OR of sarcopenia was significantly higher in the non-driver and living alone group (OR = 2.21; 95% confidence interval, 1.02-4.80). Our findings suggest that the consideration of both driving status and living arrangement are important in the formulation of public health strategies to prevent sarcopenia in rural Japanese areas.

摘要

确保停止驾驶后能够行动自如,是预防功能受限的重要公共卫生问题,但这一问题在农村地区仍未得到充分理解。本研究旨在验证以下假设,即作为非驾驶员且独居与日本农村地区社区居住的老年人发生肌肉减少症的风险增加相关。本研究于 2018 年进行,共纳入了 738 名参与者。通过测量步行速度、握力和骨骼肌量来评估肌肉减少症。使用自我报告问卷和面对面访谈收集驾驶状况和居住安排信息。设置了四个组来确定驾驶状况和居住安排的综合情况。采用 logistic 回归分析来估计调整混杂因素后的肌肉减少症的比值比(OR)及其 95%置信区间。与参照组(驾驶员且与他人同住)相比,非驾驶员且独居者的肌肉减少症患病风险显著更高(OR=2.21;95%置信区间,1.02-4.80)。我们的研究结果表明,在制定预防日本农村地区肌肉减少症的公共卫生策略时,不仅要考虑驾驶状况,还要考虑居住安排。

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