{"title":"Prevalence and risk factors of depression among elderly people in nursing homes from 2012 to 2022: a systematic review and meta-analysis.","authors":"Qing Wang, Xiaoting Huang, Minhui Liu, Chunyu Wang, Zaiqing Sun, Chongmei Huang, Siyuan Tang","doi":"10.1080/13607863.2024.2367044","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To determine a pooled prevalence of depression and its influencing factors among nursing home residents.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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 (<i>OR</i> = 0.28), insufficient income (<i>OR</i> = 3.53), comorbidities (<i>OR</i> = 2.66), pain (<i>OR</i> = 2.67; <i>r</i> = 0.31), functional disability (<i>r</i> = 0.33), loneliness (<i>r</i> = 0.43), number of chronic health problems (<i>r</i> = 0.18), social support (<i>r</i> = -0.28), activities of daily living (<i>r</i> = -0.43), subjective health (<i>r</i> = -0.28), autonomy (<i>r</i> = -0.41), environment (<i>r</i> = -0.50) and physical (<i>r</i> = -0.57) and psychological health (<i>r</i> = -0.65).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":55546,"journal":{"name":"Aging & Mental Health","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging & Mental Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/13607863.2024.2367044","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/1 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Aging & Mental Health provides a leading international forum for the rapidly expanding field which investigates the relationship between the aging process and mental health. The journal addresses the mental changes associated with normal and abnormal or pathological aging, as well as the psychological and psychiatric problems of the aging population. The journal also has a strong commitment to interdisciplinary and innovative approaches that explore new topics and methods.
Aging & Mental Health covers the biological, psychological and social aspects of aging as they relate to mental health. In particular it encourages an integrated approach for examining various biopsychosocial processes and etiological factors associated with psychological changes in the elderly. It also emphasizes the various strategies, therapies and services which may be directed at improving the mental health of the elderly and their families. In this way the journal promotes a strong alliance among the theoretical, experimental and applied sciences across a range of issues affecting mental health and aging. The emphasis of the journal is on rigorous quantitative, and qualitative, research and, high quality innovative studies on emerging topics.