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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. Methods: 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. Results: 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. Conclusions: 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. [ABSTRACT FROM AUTHOR]

Abstract: This longitudinal study was conducted between 1994 and 2004 in a cohort of Southern Taiwan community-living elderly residents. The study aims to explore the trajectories of depression 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 health/social service use predicted the different trajectories of depression. Eight hundred and ten participants had completed all six waves of the survey or were followed-up at each wave until death in the prospective study in Kaohsiung City. Depressive symptoms were evaluated by the Short Psychiatric Evaluation Schedule (SPES). Changes in levels of depression during the ageing process were identified. Different trajectories clearly reflected heterogeneity within depression and the association with mortality. The study highlighted that diabetes, gastrointestinal problems, heart disease and disability, whether at baseline or as new occurrences, were predictors of health decline. High uses of health/social services were also predictive of increased depression. These findings identified depression as a highly dynamic process, characterized by different trajectories of depression between states of no, mild and severe depression. Greater awareness of these various trajectories should potentially improve the prevention and/or management strategies of depression. [Copyright &y& Elsevier]

Background: Although depressive symptoms in older adults are common, their relationship with disability and the influence of disability on the development of depressive symptoms over time is not well understood. This longitudinal study investigates the change trajectories of both depressive symptoms and disability, as well as their associations over time., Methods: Participants included 442 community-dwelling older adults living in Taiwan, aged 65 years or older, who completed six waves of survey interviews. Depression was scored with the Short Psychiatric Evaluation Schedule and disability with the instrumental and physical activities of daily living measure during each consecutive data collection wave. The autoregressive latent trajectory model and parallel latent growth curve modeling were adopted for analysis of the data., Results: The autoregressive latent trajectory model highlights that previous depressive symptoms (and disability) significantly contributed to the advancement of more severe depressive symptoms (and disability). This model also indicates that disability significantly contributed to the onset of depressive symptoms and vice versa. The parallel latent growth curve modeling highlights that the disability intercept had significant effects on the depressive symptoms intercept, as did the depressive symptoms on disability. Furthermore, the disability slope had significant effects on the slope of the depressive symptoms., Conclusions: These findings demonstrate that disability is a stronger predictor of depressive symptoms than depressive symptoms are of disability. In addition, the prior existence of a health condition will lead to further deterioration of health conditions and that they often coexist.