Publication: Psychological characteristics and stress differentiate between high from low health trajectories in later life: a machine learning analysis
Psychological characteristics and stress differentiate between high from low health trajectories in later life: a machine learning analysis
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Thoma, M. V., Höltge, J., McGee, S. L., Maercker, A., & Augsburger, M. (2020). Psychological characteristics and stress differentiate between high from low health trajectories in later life: a machine learning analysis. Aging & Mental Health, 24(7), 1098–1107. https://doi.org/10.1080/13607863.2019.1584787
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OBJECTIVE: This study set out to empirically identify joint health trajectories in individuals of advanced age. Predictors of subgroup allocation were investigated to identify the impact of psychological characteristics, stress, and socio-demographic variables on more favorable aging trajectories.
METHOD: The sample consisted of N = 334 older adults (M=68.31 years; SD = 9.71). Clustered health trajectories were identified using a longitudinal variant of k-means and were based on health and satisfaction with life. Random forests with
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Thoma, M. V., Höltge, J., McGee, S. L., Maercker, A., & Augsburger, M. (2020). Psychological characteristics and stress differentiate between high from low health trajectories in later life: a machine learning analysis. Aging & Mental Health, 24(7), 1098–1107. https://doi.org/10.1080/13607863.2019.1584787