Latent class growth modeling of depression and anxiety in older adults: an 8-year follow-up of a population-based study.

ABSTRACT:

Background

Depression and anxiety are common mental health conditions in the older adult population. Understanding the trajectories of these will help implement treatments and interventions.

Aims

This study aims to identify depression and anxiety trajectories in older adults, evaluate the interrelationship of these conditions, and recognize trajectory-predicting characteristics.

Methods

Group-based dual trajectory modeling (GBDTM) was applied to the data of 3983 individuals, aged 65 years or older who participated in the Korean Health Panel Study between 2008 and 2015. Logistic regression was used to identify the association between characteristics and trajectory groups.

Results

Four trajectory groups from GBDTM were identified within both depression and anxiet

SUBMITTER: Cheng Y 

PROVIDER: S-EPMC8515663 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature