The timing of growth faltering has important implications for observational analyses of the underlying determinants of nutrition outcomes

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cg.authorship.typesCGIAR single centreen_US
cg.contributor.crpAgriculture for Nutrition and Healthen_US
cg.contributor.donorBill & Melinda Gates Foundationen_US
cg.creator.identifierHarold Alderman: 0000-0001-8019-6397en_US
cg.creator.identifierDEREK HEADEY: 0000-0003-2476-5131en_US
cg.identifier.doihttps://doi.org/10.1371/journal.pone.0195904en_US
cg.identifier.projectIFPRI - Poverty, Health, and Nutrition Divisionen_US
cg.identifier.publicationRankBen_US
cg.isijournalISI Journalen_US
cg.issn1932-6203en_US
cg.issue4en_US
cg.journalPLOS ONEen_US
cg.reviewStatusPeer Reviewen_US
cg.volume13en_US
dc.contributor.authorAlderman, Harolden_US
dc.contributor.authorHeadey, Derek D.en_US
dc.date.accessioned2024-06-21T09:05:28Zen_US
dc.date.available2024-06-21T09:05:28Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/145975en_US
dc.titleThe timing of growth faltering has important implications for observational analyses of the underlying determinants of nutrition outcomesen_US
dcterms.abstractThis studies objectives were to test the prediction that associations between child anthropometric outcomes and various socioeconomic conditions are systematically different for older and younger children. The conclusion is that previous observational analyses appear to substantially underestimate the protective impacts of a wide range of underlying determinants on stunting. Conversely, wasting rates are typically low for children 24–59 months, implying that associations between underlying conditions and wasting may be stronger for children 0–23 months of age. Such analyses should pay closer attention to age disaggregation; researchers should be aware of the age effect reported in the current study and present analysis stratified by age.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationAlderman, Harold; and Headey, Derek. 2018. The timing of growth faltering has important implications for observational analyses of the underlying determinants of nutrition outcomes. PLOS One 13(4): e0195904. https://doi.org/10.1371/journal.pone.0195904en_US
dcterms.issued2018-05-01en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherPublic Library of Scienceen_US
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/6234en_US
dcterms.subjectwealthen_US
dcterms.subjectnutritional statusen_US
dcterms.subjectinfantsen_US
dcterms.subjecteducationen_US
dcterms.subjectanthropometric dimensionsen_US
dcterms.subjectsocioeconomicsen_US
dcterms.subjectanthropometryen_US
dcterms.subjectweighten_US
dcterms.subjecthouseholdsen_US
dcterms.subjectage groupsen_US
dcterms.subjectstuntingen_US
dcterms.subjectnutritionen_US
dcterms.subjectchildrenen_US
dcterms.subjectwasting disease (nutritional disorder)en_US
dcterms.subjectdeveloping countriesen_US
dcterms.subjectgrowthen_US
dcterms.subjectageen_US
dcterms.typeJournal Articleen_US

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