University Research Priority Program 'Dynamics of Healthy Aging', University of Zurich, Zurich, Switzerland.
Resilience Research Centre, Dalhousie University, Halifax, Canada.
J Aging Health. 2020 Dec;32(10):1450-1463. doi: 10.1177/0898264320932777. Epub 2020 Jun 30.
To identify trajectories of depression and daily disability in the context of serious falls and widowhood and to predict those trajectories before the events occurred. Longitudinal data were used from the Mexican Health and Aging Study. Trajectories were estimated using latent class growth analysis. Internal and socio-ecological resources were analyzed as predictors of the trajectories. Unfavorable (worsening of symptoms and chronic high symptoms) and favorable (improvement of symptoms and stable low symptoms (resistance)) trajectories were identified. Favorable trajectories were more likely for daily disability. Persons who showed resistance in depression also tended to show resistance in daily disability. Net worth, cognition, and subjective well-being were early predictors for most trajectories. Besides resistance, individuals rather show different co-occurring trajectories in the studied outcomes. While some factors could be identified that lead to favorable trajectories in both stressful contexts, the study also shows the necessity for context-specific research and praxis.
为了在严重跌倒和丧偶的情况下识别抑郁和日常残疾的轨迹,并在事件发生之前预测这些轨迹,本研究使用了来自墨西哥健康与老龄化研究的纵向数据。轨迹使用潜在类别增长分析进行估计。内部和社会生态资源被分析为轨迹的预测因素。识别出不利(症状恶化和慢性高症状)和有利(症状改善和稳定低症状(抵抗))轨迹。有利的轨迹更可能导致日常残疾。在抑郁方面表现出抵抗的人在日常残疾方面也往往表现出抵抗。净资产、认知和主观幸福感是大多数轨迹的早期预测因素。除了抵抗之外,个体在研究结果中表现出不同的共同轨迹。虽然可以确定一些因素可以导致在这两种压力环境下都出现有利的轨迹,但研究也表明需要进行特定于情境的研究和实践。