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Meta-Analysis
. 2024 Dec;28(12):1569-1580.
doi: 10.1080/13607863.2024.2367044. Epub 2024 Jul 1.

Prevalence and risk factors of depression among elderly people in nursing homes from 2012 to 2022: a systematic review and meta-analysis

Qing Wang  1 , Xiaoting Huang  1 , Minhui Liu  2 , Chunyu Wang  1 , Zaiqing Sun  1 , Chongmei Huang  2 , Siyuan Tang  1
Affiliations
Meta-Analysis

Prevalence and risk factors of depression among elderly people in nursing homes from 2012 to 2022: a systematic review and meta-analysis

Qing Wang et al. Aging Ment Health. 2024 Dec.

Abstract

Objectives: To determine a pooled prevalence of depression and its influencing factors among nursing home residents.

Method: PsycINFO, PubMed, Embase, and Web of Science were searched for studies investigating the prevalence and risk factors of late-life depression among nursing home residents between January 2012 and November 2022. Two reviewers independently completed the literature screening, data extraction and quality assessment. A random-effects model was utilized to pool the prevalence of depression and summarize the influencing factors.

Results: This meta-analysis included 48 studies involving 28,501 participants. The pooled prevalence of depressive mood and major depressive disorder was 53% and 27%, respectively. The rate of depressive mood is higher in lower-middle-income countries (60.0%), compared with high- (53.0%) and upper-middle-income countries (44.0%). The rate of depressive mood (35.0%) is higher among females than male (19.0%). Depression was influenced by factors, including male (OR = 0.28), insufficient income (OR = 3.53), comorbidities (OR = 2.66), pain (OR = 2.67; r = 0.31), functional disability (r = 0.33), loneliness (r = 0.43), number of chronic health problems (r = 0.18), social support (r = -0.28), activities of daily living (r = -0.43), subjective health (r = -0.28), autonomy (r = -0.41), environment (r = -0.50) and physical (r = -0.57) and psychological health (r = -0.65).

Conclusion: The prevalence of depressive mood is high among nursing home residents, especially in lower-middle-income countries. It is influenced by factors including gender, income, social support, daily activities, environment, physical and psychological health and autonomy. Understanding those factors can provide evidence-based recommendations for improved awareness, prevention and better management of late-life depression.

Keywords: Nursing home; depression; elderly; meta-analysis.

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