Evidence map›Paper›PMID 33875031›Full record

ArticlePublic health nutrition2021

Double burden of underweight and overweight among Indian adults: spatial patterns and social determinants.

Pravat Bhandari, Ezra Gayawan, Suryakant Yadav

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Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Pravat BhandariInternational Institute for Population Sciences, Mumbai, India.ORCID 0000-0002-9422-8094
Ezra GayawanDepartment of Statistics, Federal University of Technology, Akure340271, Nigeria.ORCID 0000-0001-7702-4586
Suryakant YadavDepartment of Development Studies, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0003-1579-9524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe current study explores the spatial patterns of underweight and overweight among adult men and women in districts of India and identifies the micro-geographical locations where the risks of underweight and overweight are simultaneously prevalent, after accounting for demographic and socio-economic factors.

designWe relied on BMI (weight (kg)/height squared (m2)), a measure of nutritional status among adult individuals, from the 2015-2016 National Family and Health Survey. Underweight was defined as <18·5 kg/m2 and overweight as ≥25·0 kg/m2.

settingWe adopted Bayesian structured additive quantile regression to model the underlying spatial structure in underweight and overweight burden.

participantsMen aged 15-54 years (sample size: 108 092) and women aged 15-49 years (sample size: 642 002).

resultsAbout 19·7 % of men and 22·9 % of women were underweight, and 19·6 % of men and 20·6 % of women were overweight. Results indicate that malnutrition burden in adults exhibits geographical divides across the country. Districts located in the central, western and eastern regions show higher risks of underweight. There is evidence of substantial spatial clustering of districts with higher risk of overweight in southern and northern India. While finding a little evidence on double burden of malnutrition among population groups, we identified a total of sixty-six double burden districts.

conclusionsThe current study demonstrates that the geographical burden of overweight in Indian adults is yet to surpass that of underweight, but the coexistence of double burden of underweight and overweight in selected regions presents a new challenge for improving nutritional status and necessitates specialised policy initiatives.

Indexed as

Social Determinants of HealthThinnessAdultAsian PeopleBayes TheoremFemaleHumansMaleObesityOverweightPrevalenceSocioeconomic FactorsBayesian spatial modellingIndiaObesityOverweightQuantile regressionUnderweight

Identifiers

PMID33875031
PMCPMC9884774

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.