Evidence map›Paper›PMID 36280821›Full record

ArticleBMC endocrine disorders2022

Prevalence of metabolic syndrome among adolescents in India: a population-based study.

Sowmya Ramesh, Ransi Ann Abraham, Avina Sarna, Harshpal S Sachdev, Akash Porwal, Nizamuddin Khan, Rajib Acharya, Praween K Agrawal, Sana Ashraf, Lakshmi Ramakrishnan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Extent and Predictors of Metabolic Syndrome in Rural Adults of Varanasi, India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 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

10 authors at 5 institutions in 1 country.

Sowmya RameshPopulation Council, Zone 5A, Ground Floor India Habitat Centre, Lodi Road, New Delhi, Delhi, 110003, India. sramesh@popcouncil.org.
Ransi Ann AbrahamCardiac Biochemistry, All India Institute of Medical Sciences, Delhi, India.
Avina SarnaPopulation Council, Zone 5A, Ground Floor India Habitat Centre, Lodi Road, New Delhi, Delhi, 110003, India.
Harshpal S SachdevSitaram Bhartia Institute of Science and Research, New Delhi, India.
Akash PorwalPopulation Council, Zone 5A, Ground Floor India Habitat Centre, Lodi Road, New Delhi, Delhi, 110003, India.
Nizamuddin KhanPopulation Council, Zone 5A, Ground Floor India Habitat Centre, Lodi Road, New Delhi, Delhi, 110003, India.
Rajib AcharyaPopulation Council, Zone 5A, Ground Floor India Habitat Centre, Lodi Road, New Delhi, Delhi, 110003, India.
Praween K AgrawalIPE Global Limited, New Delhi, India.
Sana AshrafPopulation Council, Zone 5A, Ground Floor India Habitat Centre, Lodi Road, New Delhi, Delhi, 110003, India.
Lakshmi RamakrishnanCardiac Biochemistry, All India Institute of Medical Sciences, Delhi, India.
India Habitat Centre · INAll India Institute of Medical Sciences · INPopulation Council · INPopulation Council Institute · INSitaram Bhartia Institute of Science and Research · IN

Funding

UNICEF 43170344
6 · The paper itself

Abstract

backgroundIn India, the prevalence of overweight among adolescents is on the rise, setting the stage for an increase in metabolic syndrome (MS). This paper presents the national prevalence of MS in adolescents in India.

methodsA nationally representative data of adolescents (10-19 years) from the Comprehensive National Nutrition Survey was used. MS was defined based on the NCEP-ATP III criteria for adolescents. Bivariate analysis was used to report socio-demographic differentials in prevalence and to assess interstate variability. Multivariate logistic regression model was constructed to measure the association between socio-demographic characteristics and prevalence of MS. Census data from 2011 was projected to 2017 to calculate burden.

resultsThe prevalence of MS was 5.2% among adolescents. 11.9%, 15.4%, 26.0%, 31.9% and 3.7% had central obesity, high blood pressure, hypertriglyceridemia, low HDL-cholesterol and high fasting glucose, respectively. The prevalence was higher among males (5.7% vs. 4.7%, adjusted odds ratio (AOR): 1.3, 95% confidence interval [CI]: 1.0, 1.6), those residing in urban areas (7.9% vs 4.2%, AOR: 1.4, 95% CI: 1.1, 1.8), and from wealthier households as compared to their counterparts (8.3% vs. 2.4%, AOR: 3.4, 95% CI: 2.1, 5.5). There was wide interstate variability in the prevalence of MS (0.5% - 16.5%). In 2017, 14.2 million adolescents had MS in India.

conclusionsThe prevalence of MS among adolescents in India is low and clustered in urban areas and richer households. Early prevention interventions promoting a healthy lifestyle, especially in high prevalence areas, are needed to keep MS from becoming a public health issue.

Indexed as

Metabolic SyndromeAdenosine TriphosphateAdolescentCholesterolGlucoseHumansIndiaMalePrevalenceRisk FactorsAdenosine TriphosphateCholesterolGlucoseAdolescentsCNNSIndiaMetabolic syndrome

Identifiers

PMID36280821
PMCPMC9594972
OpenAlexW4307283082

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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.