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Stunting, Wasting and Underweight in Sub-Saharan Africa

A Systematic Review

Datos Bibliográficos

ID23337804
AutoresBlessing Akombi-Inyang (0000-0002-6410-4154, Western Sydney University), Kingsley E Agho (0000-0003-4111-3207, Western Sydney University), John Hall (0000-0002-6453-8964, UNSW Sydney), Nidhi Wali (0000-0003-3667-9476, Western Sydney University), A M N Renzaho (0000-0002-6844-0833, Western Sydney University), Dafna Merom (0000-0001-6459-8628, Western Sydney University)
Año2017
Volumen14
Número8
Páginas863
Fecha de publicación2017-08-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMDPI AG (PUBLISHER • IT)
DOI10.3390/ijerph14080863
IdiomaEN
Citas recibidas80
Referencias citadas61

Introduction: Child undernutrition is a major public health problem. One third of all undernourished children globally reside in Sub-Saharan Africa (SSA). The aim of this study was to systematically review studies to determine the factors associated with stunting, wasting and underweight in SSA and contribute to the existing body of evidence needed for the formulation of effective interventions. Methods: This systematic review was conducted using the 2015 Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines. Five computerized bibliographic databases were searched: Scopus, PubMed, PsycINFO, CINAHL and Embase. The included studies were rated using eight quality-appraisal criteria derived from the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) checklist: sample size, sampling methodology, response rate, outcome measures, statistical analyses, control for confounding, study limitation, and ethical consideration. Results: Of a total of 2810 articles retrieved from the five databases, 49 studies met our inclusion criteria. The most consistent factors associated with childhood stunting, wasting and underweight in SSA were: low mother’s education, increasing child’s age, sex of child (male), wealth index/SES (poor household), prolonged duration of breastfeeding (>12 months), low birth weight, mother’s age (

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