Prevalence of depression and anxiety in older people in low- and middle- income countries in Africa, Asia and South America: A systematic review and meta-analysis.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 03 2023
Historique:
received: 30 06 2022
revised: 11 01 2023
accepted: 16 01 2023
pubmed: 22 1 2023
medline: 14 2 2023
entrez: 21 1 2023
Statut: ppublish

Résumé

There is rapid growth of older people in Low- and Middle- Income Countries (LMICs). The aim of this review was to assess the literature on prevalence of anxiety and depression in this demographic, which to our knowledge, has not yet been conducted. Databases including Medline, PsychInfo, Embase, Scielo and African Journals Online were searched for terms including "mental disorders", "neurotic disorders", "mood disorders" and "anxiety disorders". Studies published between 1990 and 2020 providing data on older people (≥50 years) in LMICs (defined by World Bank Criteria) were included and quality-assessed. Meta-analysis was conducted on a subset of higher-quality studies to derive pooled prevalence estimates of depression. One hundred and forty relevant studies were identified, of which thirty-two were included in meta-analysis. One hundred and fifteen studies reported depression prevalence only, 19 reported both depression and anxiety, and six reported anxiety only. In all studies identified, depression prevalence ranged from 0.5 % to 62.7 %, and Generalised Anxiety Disorder prevalence ranged from 0.2 % to 32.2 %. The pooled prevalence of depression on meta-analysis was 10.5 % (95 % CI, 8.9 % - 11.2 %). Reported prevalence rates of depression were significantly different in studies using ICD-10 compared with DSM criteria, and between community and clinical settings. The search strategy contained bias towards English language papers and high income country (HIC) publications. There is significant heterogeneity within the meta-analysis. A wide range of methodologies and clinical criteria are used in prevalence studies of depression and anxiety in older people. Studies using screening tools found higher prevalence rates; clinicians and researchers should ensure diagnosis is made with gold-standard clinical criteria. Meta-analysis data suggest that rates of depression are similar in older people in LMICs compared to HICs but mental healthcare resources are limited, suggesting a large potential treatment gap.

Sections du résumé

BACKGROUND
There is rapid growth of older people in Low- and Middle- Income Countries (LMICs). The aim of this review was to assess the literature on prevalence of anxiety and depression in this demographic, which to our knowledge, has not yet been conducted.
METHODS
Databases including Medline, PsychInfo, Embase, Scielo and African Journals Online were searched for terms including "mental disorders", "neurotic disorders", "mood disorders" and "anxiety disorders". Studies published between 1990 and 2020 providing data on older people (≥50 years) in LMICs (defined by World Bank Criteria) were included and quality-assessed. Meta-analysis was conducted on a subset of higher-quality studies to derive pooled prevalence estimates of depression.
RESULTS
One hundred and forty relevant studies were identified, of which thirty-two were included in meta-analysis. One hundred and fifteen studies reported depression prevalence only, 19 reported both depression and anxiety, and six reported anxiety only. In all studies identified, depression prevalence ranged from 0.5 % to 62.7 %, and Generalised Anxiety Disorder prevalence ranged from 0.2 % to 32.2 %. The pooled prevalence of depression on meta-analysis was 10.5 % (95 % CI, 8.9 % - 11.2 %). Reported prevalence rates of depression were significantly different in studies using ICD-10 compared with DSM criteria, and between community and clinical settings.
LIMITATIONS
The search strategy contained bias towards English language papers and high income country (HIC) publications. There is significant heterogeneity within the meta-analysis.
DISCUSSION
A wide range of methodologies and clinical criteria are used in prevalence studies of depression and anxiety in older people. Studies using screening tools found higher prevalence rates; clinicians and researchers should ensure diagnosis is made with gold-standard clinical criteria. Meta-analysis data suggest that rates of depression are similar in older people in LMICs compared to HICs but mental healthcare resources are limited, suggesting a large potential treatment gap.

Identifiants

pubmed: 36681304
pii: S0165-0327(23)00084-8
doi: 10.1016/j.jad.2023.01.068
pii:
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

656-674

Subventions

Organisme : Department of Health
Pays : United Kingdom

Informations de copyright

Crown Copyright © 2023. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest None of the authors declare a conflict of interest.

Auteurs

N Edwards (N)

Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle-Upon-Tyne, UK. Electronic address: nicole.edwards@cntw.nhs.uk.

S Walker (S)

Translational and Clinical Research Institute, Newcastle University, Newcastle-Upon-Tyne, UK.

S-M Paddick (SM)

Department of Old Age Psychiatry, Gateshead Health NHS Foundation Trust, Tyne and Wear, UK; Population Health Sciences Institute, Newcastle University, Newcastle-Upon-Tyne, UK.

A M Prina (AM)

Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

M Chinnasamy (M)

Bradford Primary Care NHS Foundation Trust, Bradford, UK.

N Reddy (N)

Newcastle University, Newcastle-Upon-Tyne, UK.

I B Mboya (IB)

Institute of Public Health, Kilimanjaro Christian Medical University College, Moshi, Tanzania.

M Mtei (M)

Department of Epidemiology and Biostatistics, Kilimanjaro Christian Medical University College, Moshi, Tanzania.

M Varghese (M)

Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.

N Nakkasuja (N)

College of Health Sciences, Makerere University, Kampala, Uganda.

M Guerra (M)

Memory and Depression Centre, Cayetano Heredia Peruvian University, Peru.

N Sapkota (N)

B.P Koirala Institute of Health Sciences, Dhahran, Eastern Nepal, Nepal.

C Dotchin (C)

Department of Old Age Psychiatry, Gateshead Health NHS Foundation Trust, Tyne and Wear, UK; Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, UK.

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