Trajectories of Depression in Late Life: A 1-Year Follow-Up Study

Dement Geriatr Cogn Disord. 2017;43(3-4):180-192. doi: 10.1159/000458148. Epub 2017 Feb 22.

Abstract

Aims: To investigate the prognosis of depression in late life (DLL) in terms of the course of depression over 1 year and assess clinical factors related to the prognosis.

Methods: We performed an observational, multicenter, longitudinal study of 160 patients aged ≥60 years who were admitted to inward treatment of DLL. The patients were followed with 3 assessments: at inclusion (T0), at discharge from the hospital (T1), and after 1 year (T2). Growth mixture modeling was applied to identify patient classes following distinct trajectories of the Montgomery-Åsberg Depression Rating Scale (MADRS) score. Two regression models were estimated to assess clinical factors for the trajectories and for a clinical assessment of the depression course between T1 and T2.

Results: Two trajectory classes were identified: one with higher and one with lower MADRS scores. Not being in remission at T1 and a longer hospital stay were associated with higher odds of being in the trajectory class with more severe depression. Early-onset depression (EOD) was associated with higher odds of being in a group with a poorer clinical course between T1 and T2.

Conclusion: EOD and not being in remission at discharge were important negative prognostic factors for DLL.

Publication types

  • Multicenter Study
  • Observational Study

MeSH terms

  • Aged
  • Antidepressive Agents / therapeutic use*
  • Depression* / diagnosis
  • Depression* / epidemiology
  • Depression* / psychology
  • Depression* / therapy
  • Electroconvulsive Therapy / methods*
  • Female
  • Follow-Up Studies
  • Humans
  • Late Onset Disorders
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Norway / epidemiology
  • Outcome and Process Assessment, Health Care
  • Prognosis
  • Psychiatric Status Rating Scales
  • Psychotherapy / methods*
  • Remission Induction*

Substances

  • Antidepressive Agents