Evidence map›Paper›PMID 38755591›Full record

ArticleBMC public health2024

Temporal change in prevalence of BMI categories in India: patterns across States and Union territories of India, 1999-2021.

Meekang Sung, Akhil Kumar, Raman Mishra, Bharati Kulkarni, Rockli Kim, S V Subramanian

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Molecular subtypes and survival patterns of endometrial cancer in a South Indian cohort.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Meekang SungDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-5067-5792
Akhil KumarFaculty of Arts and Sciences, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-8346-8634
Raman MishraInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.ORCID 0000-0001-8257-6019
Bharati KulkarniDivision of Reproductive & Child Health & Nutrition, Indian Council of Medical Research, V. Ramalingaswami Bhawan, Ansari Nagar, New Delhi, India.ORCID 0000-0003-0636-318X
Rockli KimInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.ORCID 0000-0002-9864-3957
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA. svsubram@hsph.harvard.edu.ORCID 0000-0003-2365-4165

Funding

Bill & Melinda Gates Foundation INV-002992
6 · The paper itself

Abstract

backgroundThe problem of overweight/obesity often coexists with the burden of undernutrition in most low- and middle-income countries. BMI change in India incorporating the most recent trends has been under-researched.

methodsThis repeated cross-sectional study of 1,477,885 adults in India analyzed the prevalence of different categories of BMI among adults (age 20-54) in 4 rounds of National Family Health Surveys (1998-1999, 2005-2006, 2015-2016, and 2019-2021) for 36 states/UTs. State differences across time were harmonized for accurate analysis. The categories were Severely/Moderately Thin (BMI < 17.0), Mildly Thin (17.0-18.4), Normal (18.5-24.9), Overweight (25.0-29.9), and Obese (≥ 30.0). We also estimated change in Standardized Absolute Change (SAC), ranking of states, and headcount burden to quantify the trend of BMI distribution across time periods for all-India, urban/rural residence, and by states/UTs.

resultsThe prevalence of thinness declined from 31.7% in 1999 to 14.2% in 2021 for women, and from 23.4% in 2006 to 10.0% in 2021 for men. Obesity prevalence increased from 2.9% (1999) to 6.3% (2021) for women, and from 2.0% (2006) to 4.2% (2021) for men. In 2021, the states with the highest obesity prevalence were Puducherry, Chandigarh, and Delhi. These states also had a high prevalence of overweight. Dadra and Nagar Haveli and Diu, Gujarat, Jharkhand, and Bihar had the highest prevalence of severe/moderately thin. Prevalence of extreme categories (severely/moderately thin and obese) was larger in the case of women than men. While States/UTs with a higher prevalence of thin populations tend to have a larger absolute burden of severe or moderate thinness, the relationship between headcount burden and prevalence for overweight and obese is unclear.

conclusionsWe found persistent interstate inequalities of undernutrition. Tailored efforts at state levels are required to further strengthen existing policies and develop new interventions to target both forms of malnutrition.

Indexed as

Body Mass IndexObesityOverweightAdultCross-Sectional StudiesFemaleHealth SurveysHumansIndiaMaleMiddle AgedPrevalenceThinnessYoung AdultBody mass indexChangeDouble burden of malnutritionIndiaMalnutritionObesityStates/Union territories

Identifiers

PMID38755591
PMCPMC11097587

What Socratic holds

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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 Socratic graph.