Ethnicity and anthropometric deficits in children: a cross-sectional analysis of national survey data from 18 countries in sub-Saharan Africa

Author:

Tusting Lucy S.,Gibson Harry S.,Mishra SwapnilORCID,Lindsay Steven W.,Weiss Daniel J.,Flaxman Seth,Bhatt Samir

Abstract

AbstractBackgroundAnthropometric deficits persist in sub-Saharan Africa (SSA) despite sustained improvements in nutrition, disease burden and living conditions. The UN Sustainable Development Goals advocate for disaggregation of health indicators by ethnic group. However, few studies have assessed how ethnicity is associated with anthropometric deficits across SSA.MethodsData were extracted from 37 georeferenced Demographic and Health Surveys carried out during 2006-2019 across SSA that recorded anthropometric data for children aged <5 years. In a cross-sectional analysis, the odds of stunting (low height-for-age), wasting (low weight-for-height) and underweight (low weight-for-age) were modelled in relation to ethnic group using a generalised linear hierarchical mixed-effects model, controlling for survey design and environmental, socioeconomic, and clinical variables.FindingsThe study population comprised 138,312 children spanning 45 ethnic groups across 18 countries. In pairwise comparisons between ethnic groups, height-for-age Z scores differed by at least 0.5 standard deviations in 56% of comparisons, weight-for-height Z scores in 39% of comparisons and weight-for-age Z scores in 34% of comparisons. Compared to a reference group of Fula children (the largest ethnic group), ethnic group membership was associated with both increases and decreases in growth faltering, ranging from a 69% reduction to a 32% increase in odds of stunting (Igbo: adjusted odds ratio (aOR) 0.31, 95% confidence intervals (CI) 0.27-0.35, p<0.0001; Hausa: aOR 1.32, 95% CI 1.21-1.44, p<0.0001); a 13% to 87% reduction in odds of wasting (Mandinka: aOR 0.87, 95% CI 0.76-0.99, p=0.034; Bamileke: aOR 0.13, 95% CI 0.05-0.32, p<0.0001) and an 85% reduction to 13% increase in odds of underweight (Bamileke: aOR 0.15, 95% CI 0.08-0.29, p<0.0001; Hausa: aOR 1.13, 95% CI 1.03-1.24, p=0.010).InterpretationMajor ethnic disparities in stunting, wasting and underweight were observed across 18 countries in SSA. Understanding and accounting for these differences is essential to support progress monitoring and targeting of nutrition interventions in children.FundingUK Medical Research Council, Novo Nordisk FoundationResearch in contextEvidence before this studyWe searched PubMed with no date restrictions for studies published in English, using the following search terms: (“child*”, “five” OR “infant”) AND (“child growth”, “stunting”, “stunted”, “growth failure”, “growth faltering”, “height” OR “anthropometric”) AND (“ethnic*”). We identified 288 studies (196 from the database search and 92 from reference lists). Of 93 studies full text studies screened, 37 were relevant. Two multi-country studies measured the association between ethnicity and growth outcomes. An analysis of 13 national surveys from Latin America during 2006-2020 found a 97% higher prevalence of stunting among indigenous than European or mixed ancestry participants. In a 2014 systematic review, 20% of height means in 55 countries or ethnic groups differed by ≥0.5 standard deviations (SD) from the WHO Multicentre Growth Reference Study mean, suggesting some differences. A further 35 local studies measured ethnicity as a potential risk factor for child growth outcomes in Australia, Brazil, China, Guatemala, Hawaii, India, Iran, Lithuania, Malaysia, Nepal, Peru, South Africa, Thailand, Trinidad and Tobago, the UK and the USA, with a range of associations observed. We identified additional multi-country, population-based cohorts designed to support the development of international growth standards, but these did not specifically measure inequalities between ethnic groups.Added value of this studyTo our knowledge, this is the first systematic, multi-country analysis of ethnicity and anthropometric deficits in sub-Saharan Africa. By analysing data for 138,312 children spanning 45 ethnic groups in 18 countries, measured in 37 Demographic and Health Surveys, we found ethnicity to be a primary risk factor for anthropometric deficits after adjusting for socioeconomic, environmental and child-level characteristics. The strength of this association exceeded that for other factors known to affect children’s growth, such as household wealth, history of diarrhoea and access to improved water and sanitation. Anthropometric z-scores differed by ≥0.5 SD (a clinically relevant threshold) in 34%-56% of pairwise comparisons between ethnic groups.Implications of all the available evidenceChild growth faltering persists as a major cause of morbidity and mortality in sub-Saharan Africa1but our study shows that this burden is unequally distributed among ethnic groups. Research is needed to understand these differences, in order to target interventions and effectively track progress towards Sustainable Development Goal 2.

Publisher

Cold Spring Harbor Laboratory

Reference36 articles.

1. Causes and consequences of child growth faltering in low-resource settings;Nature,2023

2. WHO/UNICEF. Maternal, Infant and Young Child Nutrition Targets Geneva: World Health Organisation / United Nations Children’s Fund, 2012.

3. Mapping child growth failure in Africa between 2000 and 2015

4. Association between ethnicity and under-5 mortality: analysis of data from demographic surveys from 36 low-income and middle-income countries;Lancet Global Health,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3