Chen Chun-Min, Su Yung-Yu, Mullan Judy, Huang Ming-Shyan, Chiu Herng-Chia
a Department of Health Care Management , University of Kang Ning , Tainan , Taiwan.
Exp Aging Res. 2015;41(3):240-58. doi: 10.1080/0361073X.2015.1021641.
BACKGROUND/STUDY CONTEXT: This longitudinal study was conducted between 1994 and 2004 in a cohort of southern Taiwan community-living older residents. The study aims to explore the trajectories of disability and how these patterns differed between respondents who survived and those who died during data collection phases; this study also investigated how health status change and social service use predicted the different trajectories of disability.
Disability, chronic disease, depression, and social service usage data were collected over six waves. Clusters of disability were used to define a categorical response variable. Baseline levels and new occurrences of chronic disease and depression and the frequency of social service use during this period were chosen as the predictors of disability trajectories.
Changes in levels of disability during the aging process were identified. Different trajectories clearly reflected heterogeneity within disability clusters and between surviving and nonsurviving respondents. This study highlighted that hypertension and depression were predictors of increased disability among both surviving and nonsurviving respondents, whereas diabetes was only found to be a strong predictor of increased disability for the nonsurviving respondents. In addition, this study found that use of social services such as personal care, homemaker-household, and physical therapy were significantly associated with an increase in disability, whereas use of recreational services seemed to be associated with a decrease in disability.
These findings identify disability to be a highly dynamic process, which can be characterized into different trajectory clusters (e.g., no, mild, and major disability clusters). A greater awareness of these trajectories could be used to better target strategies to prevent and/or manage disabilities in an aging population.
背景/研究背景:这项纵向研究于1994年至2004年在台湾南部社区居住的老年居民队列中进行。该研究旨在探索残疾的轨迹,以及这些模式在数据收集阶段存活和死亡的受访者之间有何不同;本研究还调查了健康状况变化和社会服务使用如何预测不同的残疾轨迹。
在六个时间点收集残疾、慢性病、抑郁症和社会服务使用数据。残疾类别用于定义一个分类响应变量。选择慢性病和抑郁症的基线水平、新发病例以及在此期间社会服务使用频率作为残疾轨迹的预测因素。
确定了衰老过程中残疾水平的变化。不同的轨迹清楚地反映了残疾类别内部以及存活和非存活受访者之间的异质性。本研究强调,高血压和抑郁症是存活和非存活受访者残疾增加的预测因素,而糖尿病仅被发现是非存活受访者残疾增加的有力预测因素。此外,本研究发现,使用个人护理、家务助理和物理治疗等社会服务与残疾增加显著相关,而使用娱乐服务似乎与残疾减少相关。
这些发现表明残疾是一个高度动态的过程,可分为不同的轨迹类别(如无残疾、轻度残疾和重度残疾类别)。对这些轨迹有更多认识可用于更好地制定针对老年人群预防和/或管理残疾的策略。