Evidence map›Paper›PMID 40132836›Full record

ArticleBMJ open2025

Optimal cut-off points for waist circumference in the definition of metabolic syndrome: a cross-sectional study in rural Bangladesh.

Tasnima Siddiquee, Bishwajit Bhowmik, Sanjida Binte Munir, Hafiza Nasrin, Nayla Cristina Do Vale Moreira, Sharif Mahmood, Tanjimul Islam, Fahmida Mahmud, Iasmin Haque, Shamim Khan and 2 more

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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Tasnima SiddiqueeCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Bishwajit BhowmikCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh doctorbiplob@gmail.com.ORCID http://orcid.org/0000-0003-1114-5873
Sanjida Binte MunirCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Hafiza NasrinCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Nayla Cristina Do Vale MoreiraNord Universitet, Bodo, Norway.
Sharif MahmoodUniversity of Central Arkansas, Conway, Arkansas, USA.
Tanjimul IslamCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Fahmida MahmudCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Iasmin HaqueCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Shamim KhanCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Hajera MahtabCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
A K Azad KhanCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine optimal waist circumference (WC) cut-off points for identifying metabolic syndrome (MetS) in Bangladeshi adults, with the aim of enhancing diagnostic accuracy specific to this population.

designCross-sectional analysis.

settingRural community in Chandra, Bangladesh.

participantsA total of 2293 adults aged 20 years and older. PRIMARY AND SECONDARY OUTCOME MEASURES: MetS was defined using the modified National Cholesterol Education Program Adult Treatment Panel III criteria. Receiver operating characteristic (ROC) curves and Youden's Index were used to identify WC cut-off points that maximised sensitivity and specificity for diagnosing MetS. Restricted cubic spline regression was employed to explore the non-linear relationship between WC and MetS risk.

resultsThe optimal WC cut-off points for predicting MetS were 90 cm for men (sensitivity 55.2%, specificity 94.3%, OR 12.5, 95% CI 8.6 to 18.0) and 80 cm for women (sensitivity 86.7%, specificity 71.9%, OR 15.6, 95% CI 11.4 to 21.3). The area under the ROC curve was 0.819 for men and 0.827 for women. Non-linear analysis indicated a significant increase in MetS risk beyond these thresholds, with a steeper risk gradient observed in men.

conclusionsThis study establishes WC cut-off points of 90 cm for men and 80 cm for women as optimal for diagnosing MetS in Bangladeshi adults, underscoring the necessity of population-specific diagnostic criteria to improve early detection and management.

Indexed as

Metabolic SyndromeWaist CircumferenceAdultAgedBangladeshCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsROC CurveRural PopulationSensitivity and SpecificityYoung AdultDiabetes Mellitus, Type 2EpidemiologyObesity

Identifiers

PMID40132836
PMCPMC11938217

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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.