ArticleJournal of racial and ethnic health disparities2021
Beyond Asian-Specific Cutoffs: Gender Effects on the Predictability of Body Mass Index, Waist Circumference, and Waist Circumference to Height Ratio on Hemoglobin A1c.
Article in Journal of racial and ethnic health disparities, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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Who cites it
3 citing papers in PubMed, 2 citations in OpenAlex.
- 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.Endocrinology, diabetes & metabolism · 2026Article
- Association Between Skeletal Muscle Mass Indices and Cognitive Function Among Inpatients With Stable Schizophrenia.Psychiatry investigation · 2025Article
- Waist circumference and dysglycaemia: new insights and additional questions, but do not miss the opportunity to measure it!Internal and emergency medicine · 2022Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study examines the gender effect on the associations between body mass index (BMI), waist circumference (WC), and waist circumference to height ratio (WHtR) with hemoglobin A1c (HbA1c) when Asian-specific cutoffs are applied among Asians living in the USA.
designThis study used the pooled 2013-2014 and 2015-2016 National Health and Nutrition Examination Survey (NHANES) data to produce a sample of 900 Asians who were non-pregnant and non-Hispanic aged 20-65. Bivariate and general linear regression analyses were conducted based on gender and age group.
resultsThe group variations of BMI, WC, and WHtR all exhibited different patterns between males and females. Among the bivariate correlations with HbA1c, WHtR was the strongest in males and WC was the strongest in females. All three measures performed better in predicting HbA1c among younger Asians. WC predicted more of the variance in HbA1c among females, whereas WHtR predicted more of the variance in HbA1c among males.
conclusionsWC and WHtR are two anthropometric measures that serve as appropriate proxy of HbA1c for gauging the risk of developing type 2 diabetes among Asians living in the USA. They can be easily performed at non-clinical settings and should be used by individuals to monitor their health and be a part of disease prevention.
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Registered trials
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