Evidence map›Paper›PMID 42137997›Full record

ArticleEndocrinology, diabetes & metabolism2026

Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study.

Mohammad Moqaddasi Amiri, Hadi Bazyar, Mohammad Reza Amini, Vahideh Aghamohammadi, Ahmad Zare Javid

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Article in Endocrinology, diabetes & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mohammad Moqaddasi AmiriDepartment of Public Health, Sirjan School of Medical Sciences, Sirjan, Iran.
Hadi BazyarDepartment of Public Health, Sirjan School of Medical Sciences, Sirjan, Iran.
Mohammad Reza AminiNutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0003-0640-2142
Vahideh AghamohammadiDepartment of Nutrition, Khalkhal University of Medical Sciences, Khalkhal, Iran.ORCID https://orcid.org/0000-0001-7083-0040
Ahmad Zare JavidFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.

Funding

Sirjan School of Medical Sciences
6 · The paper itself

Abstract

aimsMetabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM) are two diseases that are related to each other and the presence of both can increase the risk of heart attack and death. The present study aimed to assess the efficacy of anthropometric indices in predicting the risk of MetS among T2DM patients in Iran. MATERIALS AND

methodsIn this study, 400 T2DM subjects were included via convenience sampling. Some anthropometric information, such as weight, height, waist circumference, and hip circumference along with biochemical data including fasting blood sugar, lipid profile components, systolic and diastolic blood pressure, were collected. The performance of the anthropometric indices in predicting MetS was evaluated using receiver operating characteristic (ROC) curve analysis and estimation of the area under the curve (AUC) values.

resultsAbdominal volume index (AVI) had the largest AUC in the total population. Although this result was also obtained in females, the highest value of AUC was related to vaisceral adiposity index (VAI) in males. All of the anthropometric indices increased the odds of MetS significantly, with p < 0.001 in all crude and adjusted models. Although AVI had the highest odds ratio in the crude model (21.28, 95% CI 12.26-36.92), the highest odds ratio belonged to Relative fat mass (RFM) in the adjusted models.

conclusionsAll anthropometric indices used in the study were effective in predicting the odds of MetS. AVI and VAI showed the strongest associations with MetS in both genders. Given the cross-sectional design of the study, these results should be interpreted as associations rather than causal or predictive relationships.

Indexed as

AnthropometryDiabetes Mellitus, Type 2Metabolic SyndromeAdultAgedCross-Sectional StudiesFemaleHumansIranMaleMiddle AgedRisk FactorsROC CurveWaist Circumferenceanthropometric indicescut‐off pointmetabolic syndrometype 2 diabetes mellitus

Identifiers

PMID42137997
PMCPMC13176952

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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.