Xiangya School of Nursing, Central South University, Changsha, China.
Xiangya-Oceanwide Health Management Research Institute, Central South University, Changsha, China.
Front Public Health. 2022 Aug 25;10:923767. doi: 10.3389/fpubh.2022.923767. eCollection 2022.
Maintaining and delaying a decline in physical function in older adults is critical for healthy aging. This study aimed to explore trajectories, critical points of the trajectory changes, and predictors among older people in the Chinese community.
This study was one with a longitudinal design performed in China.
The target population was community-dwelling older adults aged over 65 years. A total of 2,503 older adults from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included in this study.
Physical functioning was measured by instrumental activities of daily living (IADL). Population-based trajectory models were used to identify potential heterogeneity in longitudinal changes over 12 years and to investigate associations between baseline predictors and different trajectories for different cohort members using LASSO regression and logistic regression.
Four trajectories of physical function were identified: slow decline (33.0%), poor function and moderate decline (8.1%), rapid decline (23.5%), and stable function (35.4%). Older age, male sex, worse self-reported health status, worse vision status, more chronic diseases, worse cognitive function, and a decreased frequency of leisure activity influenced changes in the trajectory of physical function. Having fewer teeth, stronger depressive symptoms, a lack of exercise, and reduced hearing may increase the rate of decline.
Four trajectories of physical function were identified in the Chinese elderly population. Early prevention or intervention of the determinants of these trajectories can maintain or delay the rate of decline in physical function and improve healthy aging.
维持和延缓老年人身体功能的下降对于健康老龄化至关重要。本研究旨在探索中国社区老年人的轨迹、轨迹变化的关键点以及预测因素。
这是一项在中国进行的纵向研究。
目标人群为年龄在 65 岁以上的社区居住老年人。共有 2503 名来自中国长寿纵向研究(CLHLS)的老年人纳入本研究。
身体功能通过工具性日常生活活动(IADL)来衡量。采用基于人群的轨迹模型来识别 12 年纵向变化中的潜在异质性,并使用 LASSO 回归和逻辑回归来研究基线预测因素与不同队列成员不同轨迹之间的关系。
确定了四种身体功能轨迹:缓慢下降(33.0%)、功能较差且中度下降(8.1%)、快速下降(23.5%)和功能稳定(35.4%)。年龄较大、男性、自我报告健康状况较差、视力状况较差、患有更多慢性病、认知功能较差以及休闲活动频率降低会影响身体功能轨迹的变化。牙齿较少、抑郁症状较强、缺乏运动和听力下降可能会增加下降速度。
在中国老年人群中确定了四种身体功能轨迹。对这些轨迹的决定因素进行早期预防或干预,可以维持或延缓身体功能下降的速度,改善健康老龄化。