队列
多项式logistic回归
人口学
老年学
纵向研究
医学
队列研究
逻辑回归
心理学
计算机科学
机器学习
内科学
病理
社会学
作者
Sean D. Rundell,Kushang V. Patel,Elizabeth A. Phelan,Bobby Jones,Zachary A. Marcum
标识
DOI:10.1016/j.archger.2022.104643
摘要
Although the prognostic value of physical capacity is well-established, less is known about longitudinal patterns of physical capacity among community-dwelling older adults. We sought to describe long-term trajectories of physical capacity in a nationally representative sample of Medicare beneficiaries.Cohort study SETTING AND PARTICIPANTS: Annually collected data on 6,783 community-dwelling participants in the National Health and Aging Trends Study from 2011 to 2016 were analyzed.Performance-based physical capacity was measured using the Short Physical Performance Battery [(SPPB) range: 0-12, higher is better]. Self-reported physical capacity was measured using six pairs of activities with composite scores from 0 to 12 (higher is better). We then used group-based trajectory modeling to identify longitudinal patterns of each physical capacity measure over 6 years. Associations of baseline characteristics with trajectories were examined using multinomial logistic regression.The cohort was 57% female, 68% white, and 58% were ≥75 years. Six distinct trajectories of SPPB scores were identified. Two "high" groups (n = 2192, 43%) maintained high average SPPB scores. Two "moderate decline" groups (n = 1459, 29%) had a mid-range SPPB score at baseline and demonstrated gradual decline. A "low decline" group (n = 811, 16%) started with a low SPPB score and experienced a greater decline. A "very low" group (n = 590, 12%) had very low SPPB scores in all years. Six trajectories for self-reported physical capacity were also identified. Older age, worse health, lower income and education, and being Black or Hispanic were associated with lower and declining physical capacity.
科研通智能强力驱动
Strongly Powered by AbleSci AI