Nutritional characterisation of low-income households of Nairobi: Socioeconomic, livestock and gender considerations and predictors of malnutrition from a cross-sectional survey

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cg.authorship.typesCGIAR and developing country instituteen_US
cg.authorship.typesCGIAR and advanced research instituteen_US
cg.contributor.affiliationRoyal Veterinary College, United Kingdomen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.affiliationLeverhulme Centre for Integrated Research on Agriculture and Healthen_US
cg.contributor.affiliationUniversity of Prince Edward Islanden_US
cg.contributor.affiliationUniversity of Floridaen_US
cg.contributor.affiliationAfrican Population and Health Research Centeren_US
cg.contributor.affiliationLondon School of Hygiene and Tropical Medicineen_US
cg.contributor.affiliationUniversity of Liverpoolen_US
cg.contributor.crpAgriculture for Nutrition and Healthen_US
cg.contributor.donorMedical Research Council, United Kingdomen_US
cg.contributor.donorNatural Environment Research Council, United Kingdomen_US
cg.contributor.donorEconomic and Social Research Council, United Kingdomen_US
cg.contributor.donorBiotechnology and Biological Sciences Research Council, United Kingdomen_US
cg.coverage.countryKenyaen_US
cg.coverage.iso3166-alpha2KEen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionEastern Africaen_US
cg.creator.identifierDelia Grace: 0000-0002-0195-9489en_US
cg.creator.identifierAlarcon, P.: 0000-0001-9040-7629en_US
cg.creator.identifierSilvia Alonso: 0000-0002-0565-536Xen_US
cg.creator.identifierEric M. Fèvre: 0000-0001-8931-4986en_US
cg.creator.identifierJonathan Rushton: 0000-0001-5450-4202en_US
cg.howPublishedFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.1186/s40795-016-0086-2en_US
cg.isijournalISI Journalen_US
cg.issn2055-0928en_US
cg.issue1en_US
cg.journalBMC Nutritionen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.ilriGENDERen_US
cg.subject.ilriHEALTHen_US
cg.subject.ilriLIVESTOCKen_US
cg.subject.ilriNUTRITIONen_US
cg.volume2en_US
dc.contributor.authorDomínguez Salas, Paulaen_US
dc.contributor.authorAlarcón, Pabloen_US
dc.contributor.authorHäsler, Barbaraen_US
dc.contributor.authorDohoo, I.R.en_US
dc.contributor.authorColverson, Kathleen E.en_US
dc.contributor.authorKimani-Murage, E.W.en_US
dc.contributor.authorAlonso, Silviaen_US
dc.contributor.authorFerguson, E.en_US
dc.contributor.authorFèvre, Eric M.en_US
dc.contributor.authorRushton, Jonathanen_US
dc.contributor.authorGrace, Deliaen_US
dc.date.accessioned2016-08-16T08:33:43Zen_US
dc.date.available2016-08-16T08:33:43Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/76488en_US
dc.titleNutritional characterisation of low-income households of Nairobi: Socioeconomic, livestock and gender considerations and predictors of malnutrition from a cross-sectional surveyen_US
dcterms.abstractBackground In sub-Saharan Africa, urban informal settlements are rapidly expanding, leading to overcrowding and constituting challenging environments for food and water supplies, health and nutrition. The study objectives were to characterise and compare two low-income areas of Nairobi according to socioeconomic (including livestock and gender) indicators and the nutritional status of non-pregnant women of reproductive age and 1 to 3 year-old children; and to investigate socioeconomic predictors of malnutrition in these areas. Methods In this cross-sectional survey 205 low-income households in deprived areas of Dagoretti and Korogocho (Nairobi) were randomly selected. Socioeconomic data were collected via an interviewer-administered questionnaire. Maternal and child dietary data were collected by a 24-h dietary recall. Maternal and child anthropometric and haemoglobin measurements were taken. Chi-square, t-test and Wilcoxon-Mann–Whitney test were used to compare groups and multivariable linear regression to assess predictors of malnutrition. Results Dagoretti consistently showed better socioeconomic indicators including: income, education and occupation of household head, land ownership, housing quality and domestic asset ownership. Animal ownership was more than twice as high in Dagoretti as in Korogocho (53.0 % vs 22.9 % of households; p-value < 0.0001). A double burden of malnutrition existed: 41.5 % of children were stunted, and 29.0 % of women were overweight. In addition, 74.0 % of the children and 25.9 % of the women were anaemic, and were at risk of inadequate intakes for a number of micronutrients. Nutritional status and nutrient intakes were consistently better in Dagoretti than Korogocho; height-for-age (0.47 Z-scores higher; p-value = 0.004), the minimum dietary diversity (80.0 % vs 57.7 % in children, p-value = 0.001) and intakes of several nutrients were significantly higher. Positive predictors of maternal nutritional status were income, age and not having a premature delivery. Positive predictors of child nutritional status were area, household head education, mother not being married, female animal ownership and child’s sex (female). Conclusions Malnutrition is prevalent in these settings, which could be partly due to low nutrient intakes, and to socioeconomic factors (including poverty), thus requiring comprehensive approaches that include increased accessibility and affordability of nutrient-dense foods. This study indicates that differences among low-income areas may need consideration for prioritisation and design of interventions.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.available2016-08-05en_US
dcterms.bibliographicCitationDominguez-Salas, P., Alarcón, P., Häsler, B., Dohoo, I.R., Colverson, K., Kimani-Murage, E.W., Alonso, S., Ferguson, E., Fèvre, E.M., Rushton, J. and Grace, D. 2016. Nutritional characterisation of low-income households of Nairobi: Socioeconomic, livestock and gender considerations and predictors of malnutrition from a cross-sectional survey. BMC Nutrition 2: 47.en_US
dcterms.issued2016-12en_US
dcterms.languageenen_US
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.publisherSpringeren_US
dcterms.subjectgenderen_US
dcterms.subjecthealthen_US
dcterms.typeJournal Articleen_US

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