Evidence map›Paper›PMID 38517308›Full record

ArticleInternational health2025

Metabolic syndrome burden, determinants and treatment status in an urban slum resettlement colony in Delhi, India.

Shivani Rao, Saurav Basu, Kajal Nandi, M M Singh, Heena Lalwani, Vansh Maheshwari, Amod Borle, Nandini Sharma

Open access · goldAbstract read
In one paragraph

Article in International health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Shivani RaoDepartment of Community Medicine, Maulana Azad Medical College, New Delhi 110002, India.
Saurav BasuIndian Institute of Public Health - Delhi, Public Health Foundation of India, Haryana 122102, India.ORCID 0000-0003-1336-8720
Kajal NandiDepartment of Biochemistry, Maulana Azad Medical College, New Delhi 110002, India.
M M SinghDepartment of Community Medicine, Maulana Azad Medical College, New Delhi 110002, India.
Heena LalwaniDepartment of Community Medicine, Maulana Azad Medical College, New Delhi 110002, India.ORCID 0009-0009-3682-9113
Vansh MaheshwariIndian Institute of Public Health - Delhi, Public Health Foundation of India, Haryana 122102, India.
Amod BorleDepartment of Community Medicine, Maulana Azad Medical College, New Delhi 110002, India.
Nandini SharmaDepartment of Community Medicine, Maulana Azad Medical College, New Delhi 110002, India.
Maulana Azad Medical College · INInstitute of Public Health Bengaluru · IN

Funding

Biotechnology Industrial Research Assistant Council
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) in low-resource settings contributes to accentuated risk of cardiovascular disease, including stroke. The study objective was to estimate the prevalence, determinants and treatment status of MetS in an urban slum resettlement population in Delhi, India.

methodsThis study was conducted from February to May 2023. Multiphase sampling was conducted with 1910 individuals screened for abdominal obesity (AO), with 996 detected as having AO, of which, 400 were selected by simple random sampling and further evaluated for triglycerides (TGs), high-density lipoprotein (HDL) and fasting glucose levels.

resultsAmong the 400 participants detected as having AO, 211 had evidence of MetS (52.75% [95% confidence interval 47.83 to 57.62]). The most prevalent combination of MetS clustering was for all five components (AO, diabetes mellitus [DM], hypertension [HTN], low HDL and high TGs; 14.69%), followed by AO, DM and HTN (12.32%). On adjusted analysis, the odds of having MetS was found to be independently associated with increasing age (≥40 y) but not sex.

conclusionsA high burden of MetS and suboptimal treatment status is prevalent in urban slum populations. Screening of individuals with AO, especially in those >40 y of age, can be an effective programmatic strategy for early diagnosis and management of MetS and its underlying components.

Indexed as

Metabolic SyndromeObesity, AbdominalPoverty AreasUrban PopulationAdultAgedBlood GlucoseDiabetes MellitusFemaleHumansHypertensionIndiaMaleMiddle AgedPrevalenceRisk FactorsBlood GlucoseTriglyceridesabdominal obesitydiabeteshypertensionIndiametabolic syndromescreening

Identifiers

PMID38517308
PMCPMC11697089
OpenAlexW4393063521

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.