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

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Kuchibhatla, MN; Fillenbaum, GG; Hybels, CF; Blazer, DG

Published Date

  • June 2012

Published In

Volume / Issue

  • 125 / 6

Start / End Page

  • 492 - 501

PubMed ID

  • 22118370

Pubmed Central ID

  • 22118370

Electronic International Standard Serial Number (EISSN)

  • 1600-0447

Digital Object Identifier (DOI)

  • 10.1111/j.1600-0447.2011.01801.x

Language

  • eng

Conference Location

  • United States