Trajectory classes of depressive symptoms in a community sample of older adults.

OBJECTIVE: To identify trajectories of depressive symptoms in older community residents. METHOD: Depressive symptomatology, based on a modified Center for Epidemiological Studies-Depression scale, was obtained at years 0, 3, 6, and 10, in the Duke Established Populations for Epidemiologic Studies of the Elderly (n = 4162). Generalized growth mixture models identified the latent class trajectories present. Baseline demographic, health, and social characteristics distinguishing the classes were identified using multinomial logistic regression. RESULTS: Four latent class trajectories were identified. Class 1 - stable low depressive symptomatology (76.6% of the sample); class 2 - initially low depressive symptomatology, increasing to the subsyndromal level (10.0%); class 3 - stable high depressive symptomatology (5.4%); class 4 - high depressive symptomatology improving over 6 years before reverting somewhat (8.0%). Class 1 was younger, male gender, with better education, health, and social resources, in contrast to class 3. Class 2 had poorer cognitive functioning and higher death rate. Class 4 had better health and social resources. CONCLUSION: Reduction in high depressive symptomatology is associated with more education, better health, fewer stressful events, and a larger social network. Increasing depressive symptomatology is accompanied by poorer physical and cognitive health, more stressful life events, and greater risk of death.

Duke Scholars

Author Maragatha Kuchibhatla Biostatistics & Bioinformatics, Division of Biostatistics

Author Gerda G. Fillenbaum Psychiatry & Behavioral Sciences, Adult Psychiatry & Psychol ...

Author Celia F. Hybels Psychiatry & Behavioral Sciences, Adult Psychiatry & Psychol ...

Author Daniel German Blazer Psychiatry & Behavioral Sciences, Behavioral Medicine & Neur ...