Dietary Diversity among Indian adolescents and young adults: Evidence from UDAYA study

preprint OA: closed
Full text JSON View at publisher
AI-generated summary by claude@2026-07+body, 2026-07-05

This study used the UDAYA longitudinal design to analyze dietary patterns and determinants of minimum dietary diversity in Indian adolescents, finding it varied by socio-economic characteristics but not age.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-07, 2026-07-05 · read from full text

This preprint analyzes dietary diversity among Indian adolescents and young adults using the UDAYA longitudinal study design, assessing how dietary patterns at one wave relate to changes by a subsequent wave via cross-tabulations, chi-square tests, and binary logistic regression for minimum dietary diversity (MDD). The authors report an average adherence to the dietary pattern of 58% overall (61% in Bihar and 56% in Uttar Pradesh), with MDD differing significantly by adolescents’ socio-economic characteristics, and no differences by young versus older adolescents in UP and Bihar. In adjusted models, a food consumption score index (AOR=2.6, 95% CI 2.1–3.1) and adolescents’ media exposure at wave 1 (AOR=2.1, 95% CI 1.7–2.7) were significant predictors of MDD at wave 2. The paper is a Research Square preprint not peer reviewed by a journal, and it does not provide an explicit caveat about the analytical approach beyond this status; it concludes by calling for strengthened evaluation of nutrition programming for adolescents. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Background: Adolescence is a period transition from childhood to adulthood , in which they undergo various rapid changes from physical appearances to changes in the food habits. During this period, childbearing age starts, particularly for women, which is one of the most precarious time wherein optimum nutritional status need to be achieved. So, Eating healthy during adolescence is important as rapid physical growth increases the need of several nutrients. Methods: : In our study, we have used the UDAYA longitudinal study design which provides a unique opportunity to determine the role of dietary pattern at one time point to the changes at the time 2. For analysis, cross-tabulation and chi-square test is used to test independence of various groups. Binary logistic regression is used to identify determinants of minimum dietary diversity (Yes=1, No=0) of the adolescents. Adjusted odds ratio are computed for Uttar Pradesh and Bihar separately, as well as for combined sample. Results: : In the present study, the average adherence to the dietary pattern in our adolescents was 58%, while in Bihar it was 61% , and in UP it was 56%. Using the logistic regression analysis, we found that there was significant difference in the MDD of adolescents by their socio-economic characteristics. But no differentials were found among young and old adolescents in UP and Bihar. Also, food consumption score index (A.O.R.=2.6, 95% CI (2.1-3.1), and media exposure of adolescents at wave1 (A.O.R.=2.1, 95% CI (1.7-2.7) were found significant in depicting the MDD at wave2. Conclusions: : India launched ICDS scheme in 1975s to strengthen the nutritional status of young children in the country, but the recent data of NFHS-5 (2019-20), shows that the nutritional status of the country improved only marginally, or rather decreased in some parts. Strengthening and proper evaluation of ICDS programme can help to improve the pro-nutrition among the adolescents. Also, there should be a specific state policy to address the needs of adolescents, and various educational programmes should be conducted in schools where students along with their parents should be educated about the need of healthy dietary habits.
Full text 13,418 characters · extracted from preprint-html · click to expand
Dietary Diversity among Indian adolescents and young adults: Evidence from UDAYA study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Dietary Diversity among Indian adolescents and young adults: Evidence from UDAYA study Anjali Bansal, Pooja Arora, Radhika Sharma, Archa Misra This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-242191/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract Background: Adolescence is a period transition from childhood to adulthood , in which they undergo various rapid changes from physical appearances to changes in the food habits. During this period, childbearing age starts, particularly for women, which is one of the most precarious time wherein optimum nutritional status need to be achieved. So, Eating healthy during adolescence is important as rapid physical growth increases the need of several nutrients. Methods: In our study, we have used the UDAYA longitudinal study design which provides a unique opportunity to determine the role of dietary pattern at one time point to the changes at the time 2. For analysis, cross-tabulation and chi-square test is used to test independence of various groups. Binary logistic regression is used to identify determinants of minimum dietary diversity (Yes=1, No=0) of the adolescents. Adjusted odds ratio are computed for Uttar Pradesh and Bihar separately, as well as for combined sample. Results: In the present study, the average adherence to the dietary pattern in our adolescents was 58%, while in Bihar it was 61% , and in UP it was 56%. Using the logistic regression analysis, we found that there was significant difference in the MDD of adolescents by their socio-economic characteristics. But no differentials were found among young and old adolescents in UP and Bihar. Also, food consumption score index (A.O.R.=2.6, 95% CI (2.1-3.1), and media exposure of adolescents at wave1 (A.O.R.=2.1, 95% CI (1.7-2.7) were found significant in depicting the MDD at wave2. Conclusions: India launched ICDS scheme in 1975s to strengthen the nutritional status of young children in the country, but the recent data of NFHS-5 (2019-20), shows that the nutritional status of the country improved only marginally, or rather decreased in some parts. Strengthening and proper evaluation of ICDS programme can help to improve the pro-nutrition among the adolescents. Also, there should be a specific state policy to address the needs of adolescents, and various educational programmes should be conducted in schools where students along with their parents should be educated about the need of healthy dietary habits. Nutrition & Dietetics Dietary Diversity India Adolescents Nutrition Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-242191","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":12746379,"identity":"f6287641-3118-4b38-88d0-d85c3f1cc045","order_by":0,"name":"Anjali Bansal","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDklEQVRIie2PsWrDMBCGBQF3MWQVBKQnKMgYjIeQx8h8wmAtSghk6eitS95AQ14hoZBZkLUPIKgHh0JnjR5KqWRSKKVy1kL1DSch7tN/h1Ak8jcB1DFXPF3/Qfypu1sKfCl8p/NBgds5VwUSzZvrS5Cpai4WNmg9VY/ukrZivzxfXMqC3De/K7jVFXaDbXH7nGMo31bHl5o5pcoLHYgxAF7hjZEIQzpZHRV4RfNTQKEGqt4reyNee0gmIlPCjirMQD2kHAwUGJIz0JkcT8mcUgLD28zIouS7OjvM5EYDC+9CjKyMfZ+viRvM2H5OqRJP1j4sSHB9lIIr+NuoQycLtXvufnxGm7HuSCQS+Y98AvD5abXo4PbYAAAAAElFTkSuQmCC","orcid":"","institution":"International Institution for Population Sciences","correspondingAuthor":true,"prefix":"","firstName":"Anjali","middleName":"","lastName":"Bansal","suffix":""},{"id":12746380,"identity":"e3af6027-5f48-40b8-b9fe-6adb5a80377b","order_by":1,"name":"Pooja Arora","email":"","orcid":"","institution":"International Institution for Population Sciences","correspondingAuthor":false,"prefix":"","firstName":"Pooja","middleName":"","lastName":"Arora","suffix":""},{"id":12746381,"identity":"8218c1ee-e628-472b-b24d-dbd9185c7983","order_by":2,"name":"Radhika Sharma","email":"","orcid":"","institution":"International Institution for Population Sciences","correspondingAuthor":false,"prefix":"","firstName":"Radhika","middleName":"","lastName":"Sharma","suffix":""},{"id":12746382,"identity":"ecdc5ed3-25b5-4a3d-84f1-535b0e23ae3e","order_by":3,"name":"Archa Misra","email":"","orcid":"","institution":"Institute of Economic Growth","correspondingAuthor":false,"prefix":"","firstName":"Archa","middleName":"","lastName":"Misra","suffix":""}],"badges":[],"createdAt":"2021-02-14 18:29:07","currentVersionCode":2,"declarations":"","doi":"10.21203/rs.3.rs-242191/v2","doiUrl":"https://doi.org/10.21203/rs.3.rs-242191/v2","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":16288486,"identity":"d9201a7a-7dd7-44a9-8ea5-70238cc4a16c","added_by":"auto","created_at":"2021-12-08 18:26:02","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":279883,"visible":true,"origin":"","legend":"","description":"","filename":"DietaryDiversityManuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-242191/v2_covered.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eDietary Diversity among Indian adolescents and young adults: Evidence from UDAYA study\u003c/p\u003e","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-242191/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Dietary Diversity, India, Adolescents, Nutrition","lastPublishedDoi":"10.21203/rs.3.rs-242191/v2","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-242191/v2","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground: \u003c/strong\u003eAdolescence is a period transition from childhood to adulthood , in which they undergo various rapid changes from physical appearances to changes in the food habits. During this period, childbearing age starts, particularly for women, which is one of the most precarious time wherein optimum nutritional status need to be achieved. So, Eating healthy during adolescence is important as rapid physical growth increases the need of several nutrients.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e In our study, we have used the UDAYA longitudinal study design which provides a unique opportunity to determine the role of dietary pattern at one time point to the changes at the time 2. For analysis, cross-tabulation and chi-square test is used to test independence of various groups. Binary logistic regression is used to identify determinants of minimum dietary diversity (Yes=1, No=0) of the adolescents. Adjusted odds ratio are computed for Uttar Pradesh and Bihar separately, as well as for combined sample.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003eIn the present study, the average adherence to the dietary pattern in our adolescents was 58%, while in Bihar it was 61% , and in UP it was 56%. Using the logistic regression analysis, we found that there was significant difference in the MDD of adolescents by their socio-economic characteristics. But no differentials were found among young and old adolescents in UP and Bihar. Also, food consumption score index (A.O.R.=2.6, 95% CI (2.1-3.1), and media exposure of adolescents at wave1 (A.O.R.=2.1, 95% CI (1.7-2.7) were found significant in depicting the MDD at wave2. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003e India launched ICDS scheme in 1975s to strengthen the nutritional status of young children in the country, but the recent data of NFHS-5 (2019-20), shows that the nutritional status of the country improved only marginally, or rather decreased in some parts. Strengthening and proper evaluation of ICDS programme can help to improve the pro-nutrition among the adolescents. Also, there should be a specific state policy to address the needs of adolescents, and various educational programmes should be conducted in schools where students along with their parents should be educated about the need of healthy dietary habits.\u003c/p\u003e","manuscriptTitle":"Dietary Diversity among Indian adolescents and young adults: Evidence from UDAYA study","msid":"","msnumber":"","nonDraftVersions":[{"code":2,"date":"2021-12-08 18:25:51","doi":"10.21203/rs.3.rs-242191/v2","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}},{"code":1,"date":"2021-02-19 21:22:59","doi":"10.21203/rs.3.rs-242191/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"f2f7de0a-e052-42b1-b0d6-430d3f281f41","owner":[],"postedDate":"December 8th, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":9033554,"name":"Nutrition \u0026 Dietetics"}],"tags":[],"updatedAt":"2021-03-22T07:14:18+00:00","versionOfRecord":[],"versionCreatedAt":"2021-12-08 18:25:51","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v2","identity":"rs-242191","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-242191","identity":"rs-242191","version":["v2"]},"buildId":"J0_U0BvcaRcwD8yVFaRlm","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00