FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387478055> ?p ?o ?g. }

• W4387478055 abstract "Abstract Background Anthropometric 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. Methods Data 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. Findings The 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). Interpretation Major 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. Funding UK Medical Research Council, Novo Nordisk Foundation Research in context Evidence before this study We 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 study To 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 evidence Child growth faltering persists as a major cause of morbidity and mortality in sub-Saharan Africa 1 but 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." @default.
• W4387478055 created "2023-10-11" @default.
• W4387478055 creator A5009209916 @default.
• W4387478055 creator A5024741320 @default.
• W4387478055 creator A5028181428 @default.
• W4387478055 creator A5032005702 @default.
• W4387478055 creator A5043164969 @default.
• W4387478055 creator A5063912611 @default.
• W4387478055 creator A5091290326 @default.
• W4387478055 date "2023-10-10" @default.
• W4387478055 modified "2023-10-17" @default.
• W4387478055 title "Ethnicity and anthropometric deficits in children: a cross-sectional analysis of national survey data from 18 countries in sub-Saharan Africa" @default.
• W4387478055 cites W1525114242 @default.
• W4387478055 cites W1563140870 @default.
• W4387478055 cites W1971429875 @default.
• W4387478055 cites W2049217636 @default.
• W4387478055 cites W2071934377 @default.
• W4387478055 cites W2099599884 @default.
• W4387478055 cites W2116255916 @default.
• W4387478055 cites W2127537121 @default.
• W4387478055 cites W2162280708 @default.
• W4387478055 cites W2261645655 @default.
• W4387478055 cites W2298920427 @default.
• W4387478055 cites W2394641128 @default.
• W4387478055 cites W2416058866 @default.
• W4387478055 cites W2551301925 @default.
• W4387478055 cites W2586753918 @default.
• W4387478055 cites W2783065878 @default.
• W4387478055 cites W2786358356 @default.
• W4387478055 cites W2788364872 @default.
• W4387478055 cites W2885970036 @default.
• W4387478055 cites W2912765309 @default.
• W4387478055 cites W3008851948 @default.
• W4387478055 cites W3013799664 @default.
• W4387478055 cites W3015628823 @default.
• W4387478055 cites W3041993293 @default.
• W4387478055 cites W3093136258 @default.
• W4387478055 cites W3181248477 @default.
• W4387478055 cites W4221114704 @default.
• W4387478055 cites W4386697793 @default.
• W4387478055 cites W2257689573 @default.
• W4387478055 doi "https://doi.org/10.1101/2023.10.10.23296801" @default.
• W4387478055 hasPublicationYear "2023" @default.
• W4387478055 type Work @default.
• W4387478055 citedByCount "0" @default.
• W4387478055 crossrefType "posted-content" @default.
• W4387478055 hasAuthorship W4387478055A5009209916 @default.
• W4387478055 hasAuthorship W4387478055A5024741320 @default.
• W4387478055 hasAuthorship W4387478055A5028181428 @default.
• W4387478055 hasAuthorship W4387478055A5032005702 @default.
• W4387478055 hasAuthorship W4387478055A5043164969 @default.
• W4387478055 hasAuthorship W4387478055A5063912611 @default.
• W4387478055 hasAuthorship W4387478055A5091290326 @default.
• W4387478055 hasBestOaLocation W43874780551 @default.
• W4387478055 hasConcept C126322002 @default.
• W4387478055 hasConcept C134018914 @default.
• W4387478055 hasConcept C137403100 @default.
• W4387478055 hasConcept C142052008 @default.
• W4387478055 hasConcept C142724271 @default.
• W4387478055 hasConcept C144024400 @default.
• W4387478055 hasConcept C147077947 @default.
• W4387478055 hasConcept C149923435 @default.
• W4387478055 hasConcept C156957248 @default.
• W4387478055 hasConcept C19165224 @default.
• W4387478055 hasConcept C205649164 @default.
• W4387478055 hasConcept C2779764123 @default.
• W4387478055 hasConcept C2780221984 @default.
• W4387478055 hasConcept C2780586474 @default.
• W4387478055 hasConcept C2781121325 @default.
• W4387478055 hasConcept C2908647359 @default.
• W4387478055 hasConcept C44249647 @default.
• W4387478055 hasConcept C61427482 @default.
• W4387478055 hasConcept C71924100 @default.
• W4387478055 hasConcept C99454951 @default.
• W4387478055 hasConceptScore W4387478055C126322002 @default.
• W4387478055 hasConceptScore W4387478055C134018914 @default.
• W4387478055 hasConceptScore W4387478055C137403100 @default.
• W4387478055 hasConceptScore W4387478055C142052008 @default.
• W4387478055 hasConceptScore W4387478055C142724271 @default.
• W4387478055 hasConceptScore W4387478055C144024400 @default.
• W4387478055 hasConceptScore W4387478055C147077947 @default.
• W4387478055 hasConceptScore W4387478055C149923435 @default.
• W4387478055 hasConceptScore W4387478055C156957248 @default.
• W4387478055 hasConceptScore W4387478055C19165224 @default.
• W4387478055 hasConceptScore W4387478055C205649164 @default.
• W4387478055 hasConceptScore W4387478055C2779764123 @default.
• W4387478055 hasConceptScore W4387478055C2780221984 @default.
• W4387478055 hasConceptScore W4387478055C2780586474 @default.
• W4387478055 hasConceptScore W4387478055C2781121325 @default.
• W4387478055 hasConceptScore W4387478055C2908647359 @default.
• W4387478055 hasConceptScore W4387478055C44249647 @default.
• W4387478055 hasConceptScore W4387478055C61427482 @default.
• W4387478055 hasConceptScore W4387478055C71924100 @default.
• W4387478055 hasConceptScore W4387478055C99454951 @default.
• W4387478055 hasLocation W43874780551 @default.
• W4387478055 hasOpenAccess W4387478055 @default.
• W4387478055 hasPrimaryLocation W43874780551 @default.
• W4387478055 hasRelatedWork W2006195992 @default.
• W4387478055 hasRelatedWork W2020198432 @default.
• W4387478055 hasRelatedWork W2170409980 @default.

• next