ArticlePloS one2018
Body composition analysis, anthropometric indices and lipid profile markers as predictors for prediabetes.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 37 citations in OpenAlex.
- Association of cardiovascular risk factors in different anthropometric parameters in overweight or obese adults.American heart journal plus : cardiology research and practice · 2026Article
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- A comparative analysis of anthropometric indices for identifying prediabetes in US adults: results from NHANES 2021-2023.Preventive medicine reports · 2026Article
- The role of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (nhhr) in prediabetes progression and the mediating effect of BMI: a longitudinal study in China.Diabetology & metabolic syndrome · 2025Article
- Characteristics and risk factors associated with developing prediabetes in Saudi Arabia.Annals of medicine · 2024Article
- External validation of Prediabetes Risk Test in Indian population for screening prediabetes.Medical journal, Armed Forces India · 2024Article
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- Uric acid is associated with type 2 diabetes: data mining approaches.Diabetology international · 2024Article
- A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning.Journal of diabetes and metabolic disorders · 2024Article
- Measurement of visceral fat for early prediction of prediabetes-Cross-sectional study from Southern India.Journal of Taibah University Medical Sciences · 2022Article
- Body composition analysis components as markers for coronary artery diseases in type 2 diabetic patients.Journal of Taibah University Medical Sciences · 2022Article
- Predictive performance of lipid parameters in identifying undiagnosed diabetes and prediabetes: a cross-sectional study in eastern China.BMC endocrine disorders · 2022Article
- A 16-year prospective cohort study to evaluate effects of long-term fluctuations in obesity indices of prediabetics on the incidence of future diabetes.Scientific reports · 2021Article
- No Association between 25-Hydroxyvitamin D and Insulin Resistance or Thyroid Hormone Concentrations in a Romanian Observational Study.Medicina (Kaunas, Lithuania) · 2020Observational
- Patterns of changes in serum lipid profiles in prediabetic subjects: results from a 16-year prospective cohort study among first-degree relatives of type 2 diabetic patients.Lipids in health and disease · 2020Article
- Burden and determinants of multimorbidity among women in reproductive age group: a cross-sectional study based in India.Wellcome open research · 2020Article
- Tracking lipid profile and atherogenic indices in the prediabetics of Andaman Nicobar Islands: A retrospective hospital-based study.Journal of family medicine and primary care · 2019Article
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4 authors at 1 institution in 1 country.
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Abstract
objectivesTo compare different anthropometric indices, Body composition analysis and lipid profile markers in terms of their ability to predict prediabetes (PD).
methodsWe enrolled 83 subjects with PD and 84 normoglycemic subjects who were matched for age and gender. The diagnosis of prediabetes was done according to the American Diabetes Association (ADA) criteria. All subjects were aged between 30-55 years of age and visited the outpatient department of tertiary care hospital. Anthropometric and lipid profile measurements were obtained. Analysis of body composition was done using Bodystat 1500MDD Instrument. Backward logistic regression was performed for detecting the predictors of PD. A receiver operator characteristic curve (ROC) with area under curve (AUC) was utilized for the accuracy of the predictors of PD.
resultsComparison of anthropometric measurement and body composition analysis parameters between the two groups showed that Waist circumference (WC), Body mass index, Body Fat% were significantly higher whereas Extracellular water and Dry lean weight in percentage (ECW% and DLW%) were found to be lower in PD (p< 0.05). Higher triglyceride (TG) levels and lower high-density cholesterol (HDL-C) with high TG/HDL-C were seen in subjects with PD. Backward logistic regression analysis found the combination of Body Fat % with WC, TG, ECW% and DLW% as strong predictors of PD. In ROC analysis, ECW% (AUC = 0.703) was the most predictive measure, followed by WC (AUC = 0.702).
conclusionThis study demonstrated that estimation of Body Fat % combined with waist circumference, Extracellular water and Dry lean weight in percentage are valuable in screening and diagnosis of prediabetes. Plasma levels of TG in lipid profile measurements can also serve as an additional marker for prediction of prediabetes.
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