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dc.contributor.authorScott, Samuel
dc.contributor.authorLahiri, Anwesha
dc.contributor.authorSethi, Vani
dc.contributor.authorde Wagt, Arjan
dc.contributor.authorMenon, Purnima
dc.contributor.authorYadav, Kapil
dc.contributor.authorVarghese, Mini
dc.contributor.authorJoe, William
dc.contributor.authorVir, Sheila C
dc.contributor.authorNguyen, Phuong Hong
dc.date.accessioned2022-06-29T19:42:42Z
dc.date.available2022-06-29T19:42:42Z
dc.date.issued2022-10
dc.date.submitted2021-12-22
dc.identifier.issn1740-8695
dc.identifier.othermcn13391
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/338443
dc.description.abstractAnaemia control programmes in India are hampered by a lack of representative evidence on anaemia prevalence, burden and associated factors for adolescents. The aim of this study was to: (1) describe the national and subnational prevalence, severity and burden of anaemia among Indian adolescents; (2) examine factors associated with anaemia at national and regional levels. Data (n = 14,673 individuals aged 10-19 years) were from India's Comprehensive National Nutrition Survey (CNNS, 2016-2018). CNNS used a multistage, stratified, probability proportion to size cluster sampling design. Prevalence was estimated using globally comparable age- and sex-specific cutoffs, using survey weights for biomarker sample collection. Burden analysis used prevalence estimates and projected population from 2011 Census data. Multivariable logistic regression models were used to analyse factors (diet, micronutrient deficiencies, haemoglobinopathies, sociodemographic factors, environment) associated with anaemia. Anaemia was present in 40% of girls and 18% of boys, equivalent to 72 million adolescents in 2018, and varied by region (girls 29%-46%; boys 11%-28%) and state (girls 7%-62%; boys 4%-32%). Iron deficiency (ferritin < 15 μg/L) was the strongest predictor of anaemia (odds ratio [OR]: 4.68, 95% confidence interval [CI]: [3.21,6.83]), followed by haemoglobinopathies (HbA2 > 3.5% or any HbS) (OR: 2.81, 95% CI: [1.66,4.74]), vitamin A deficiency (serum retinol <20 ng/ml) (OR: 1.86, 95% CI: [1.23,2.80]) and zinc deficiency (serum zinc < 70 μg/L) (OR: 1.32, 95% CI: [1.02,1.72]). Regional models show heterogeneity in the strength of association between factors and anaemia by region. Adolescent anaemia control programmes in India should continue to address iron deficiency, strengthen strategies to identify haemoglobinopathies and other micronutrient deficiencies, and further explore geographic variation in associated factors.
dc.languageen
dc.publisherWiley
dc.subjectORIGINAL ARTICLE
dc.subjectORIGINAL ARTICLES
dc.subjectadolescent
dc.subjectanaemia
dc.subjectIndia
dc.subjectmicronutrients
dc.subjectpublic health
dc.titleAnaemia in Indians aged 10-19 years: Prevalence, burden and associated factors at national and regional levels.
dc.typeArticle
dc.date.updated2022-06-29T19:42:42Z
prism.publicationNameMatern Child Nutr
dc.identifier.doi10.17863/CAM.85856
dcterms.dateAccepted2022-05-24
rioxxterms.versionofrecord10.1111/mcn.13391
rioxxterms.versionAO
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidScott, Samuel [0000-0002-5564-0510]
dc.contributor.orcidSethi, Vani [0000-0001-9408-2956]
dc.contributor.orcidMenon, Purnima [0000-0001-5988-2894]
dc.contributor.orcidNguyen, Phuong Hong [0000-0003-3418-1674]
dc.identifier.eissn1740-8709
pubs.funder-project-idBill and Melinda Gates Foundation (OPP1150189)
cam.issuedOnline2022-06-20


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