{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T14:29:50Z","timestamp":1793456990343,"version":"4.5.0"},"reference-count":79,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T00:00:00Z","timestamp":1655683200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1150189"],"award-info":[{"award-number":["OPP1150189"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Maternal &amp; Child Nutrition"],"published-print":{"date-parts":[[2022,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Anaemia 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                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200914,673 individuals aged 10\u201319 years) were from India's Comprehensive National Nutrition Survey (CNNS, 2016\u20132018). CNNS used a multistage, stratified, probability proportion to size cluster sampling design. Prevalence was estimated using globally comparable age\u2010 and sex\u2010specific 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%\u201346%; boys 11%\u201328%) and state (girls 7%\u201362%; boys 4%\u201332%). Iron deficiency (ferritin\u2009&lt;\u200915\u2009\u03bcg\/L) was the strongest predictor of anaemia (odds ratio [OR]: 4.68, 95% confidence interval [CI]:\u00a0[3.21,6.83]), followed by haemoglobinopathies (HbA2\u2009&gt;\u20093.5% or any HbS) (OR: 2.81, 95% CI: [1.66,4.74]), vitamin A deficiency (serum retinol &lt;20\u2009ng\/ml) (OR: 1.86, 95% CI: [1.23,2.80]) and zinc deficiency (serum zinc\u2009&lt;\u200970\u2009\u03bcg\/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.\n                  <\/jats:p>","DOI":"10.1111\/mcn.13391","type":"journal-article","created":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T03:37:38Z","timestamp":1655696258000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":59,"title":["Anaemia in Indians aged 10\u201319 years: Prevalence, burden and associated factors at national and regional levels"],"prefix":"10.1111","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5564-0510","authenticated-orcid":false,"given":"Samuel","family":"Scott","sequence":"first","affiliation":[{"name":"International Food Policy Research Institute New Delhi 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