Title | Trajectories of major depression in middle-aged and older adults: A population-based study. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Xiang, X, Cheng, J |
Journal | International Journal of Geriatric Psychiatry |
ISSN Number | 1099-1166 |
Keywords | Depressive symptoms, Health Trajectories |
Abstract | OBJECTIVES: This study aimed to examine depression trajectories and correlates in a nationally representative sample of middle-aged and older adults in the United States. METHODS: The study sample consisted of 15 661 participants aged over 50 years from the US Health and Retirement Study. Major depression was assessed using the Composite International Diagnostic Interview (CIDI-SF). Depression trajectories were identified using a group-based trajectory modeling enhanced to account for nonrandom attrition. Multinomial logistic regression was conducted to investigate predictors of depression trajectories. RESULTS: Four depression trajectory groups were identified: "never" (85.8%), "increasing" (6.3%), "decreasing" (3.2%), and "persistently moderate/high" (4.7%). Baseline depressive symptom severity was a strong predictor of depression trajectories. Older age, male sex, and non-Hispanic African American race were associated with a lower risk of the three trajectories with small to high depression burden, whereas chronic disease count was associated with a higher risk of these trajectories. The risk of being on the increasing trajectory increased with mobility difficulties. Difficulties in household activities predicted membership in the persistently moderate/high group. CONCLUSIONS: A small but nonignorable proportion of middle-aged and older adults have chronic major depression. Initial symptom severity and chronic disease burden are consistent risk factors for unfavorable depression trajectories and potential targets for screening and intervention. |
DOI | 10.1002/gps.5161 |
User Guide Notes | |
Alternate Journal | Int J Geriatr Psychiatry |
Citation Key | 10154 |
PubMed ID | 31179582 |
PubMed Central ID | PMC6742519 |
Grant List | P30 AG024824 / AG / NIA NIH HHS / United States |