Prevalence of dementia in Nigeria: a systematic review of the evidence.


Journal

Journal of global health reports
ISSN: 2399-1623
Titre abrégé: J Glob Health Rep
Pays: Scotland
ID NLM: 101731683

Informations de publication

Date de publication:
2019
Historique:
entrez: 19 9 2019
pubmed: 19 9 2019
medline: 19 9 2019
Statut: ppublish

Résumé

The burden of dementia is poorly understood in Nigeria. We sought to gather available epidemiologic evidence on dementia in Nigeria to provide country-wide estimates of its prevalence and associated risks. We searched MEDLINE, EMBASE, Global Health, Africa Journals Online (AJOL) and Google Scholar for epidemiologic studies on dementia in Nigeria from 1990 to 2018. We pooled crude estimates using random effects meta-analysis. A meta-regression epidemiologic model, using the United Nations demographics for Nigeria, was used to estimate the absolute number of people living with dementia in Nigeria in 1995 and 2015. Our searches returned 835 studies, of which nine were selected. These included 10 820 individuals with a median age of 74.4 years. Heterogeneity ( Our findings suggest the prevalence and cases of dementia have increased in Nigeria over the last two decades. Population-wide response to dementia is lacking.

Sections du résumé

BACKGROUND BACKGROUND
The burden of dementia is poorly understood in Nigeria. We sought to gather available epidemiologic evidence on dementia in Nigeria to provide country-wide estimates of its prevalence and associated risks.
METHODS METHODS
We searched MEDLINE, EMBASE, Global Health, Africa Journals Online (AJOL) and Google Scholar for epidemiologic studies on dementia in Nigeria from 1990 to 2018. We pooled crude estimates using random effects meta-analysis. A meta-regression epidemiologic model, using the United Nations demographics for Nigeria, was used to estimate the absolute number of people living with dementia in Nigeria in 1995 and 2015.
RESULTS RESULTS
Our searches returned 835 studies, of which nine were selected. These included 10 820 individuals with a median age of 74.4 years. Heterogeneity (
CONCLUSION CONCLUSIONS
Our findings suggest the prevalence and cases of dementia have increased in Nigeria over the last two decades. Population-wide response to dementia is lacking.

Identifiants

pubmed: 31528708
doi: 10.29392/joghr.3.e2019014
pmc: PMC6746335
mid: NIHMS1048843
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NHLBI NIH HHS
ID : K99 HL141678
Pays : United States

Déclaration de conflit d'intérêts

Conflict of interest: DA is a Co-Editor-in-Chief of the Journal of Global Health Reports. To ensure that any possible conflict of interest relevant to the journal has been addressed, this article was reviewed according to best practice guidelines of international editorial organizations. All authors have completed the Unified Competing Interest form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author). None of the participating authors has a conflicting financial or other interest related to the work detailed in this manuscript

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Auteurs

Davies Adeloye (D)

Centre for Global Health Research, Usher Institute, University of Edinburgh, UK.
RcDavies Evidence-based Medicine, Lagos, Nigeria.

Asa Auta (A)

School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Fylde Road, Preston, UK.

Martinsixtus Ezejimofor (M)

British Association of Dermatologists, London, UK.

Ayo Oyedokun (A)

Department of Elderly Medicine, Salisbury District Hospital, Odstock Road, Salisbury, UK.

Michael O Harhay (MO)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine University of Pennsylvania Philadelphia, Pennsylvania, USA.
Palliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Igor Rudan (I)

Centre for Global Health Research, Usher Institute, University of Edinburgh, UK.

Kit Yee Chan (KY)

Centre for Global Health Research, Usher Institute, University of Edinburgh, UK.

Classifications MeSH