Unknown

Dataset Information

Depressive and anxiety symptoms during the COVID-19 pandemic in the oldest-old population and the role of psychosocial factors: a multivariate and multi-wave analysis.


ABSTRACT:

Background

Since the oldest-old population was identified as a high-risk group for a severe course of the coronavirus disease and higher mortality, it was assumed that they might be particularly psychologically burdened. The aim of the study is to analyze the development of anxiety and depressive symptoms over the course of the pandemic from 2020 to 2022, as well as psychosocial factors associated with these outcomes.

Method

We analyzed data of n = 135 participants aged 78 to 97 years old (2020: M = 86.77, SD = 4.54) with three points of measurement from May to June 2020 (t1), March to May 2021 (t2) and November to January 2022 (t3). Besides sociodemographic variables, worries about the Sars-Cov-2 virus, living situation, perceived social support (ESSI),

SUBMITTER: Gerhards SK 

PROVIDER: S-EPMC10773748 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature