Trial reportJournal of nutritional science2020
Obesity indicators that best predict type 2 diabetes in an Indian population: insights from the Kerala Diabetes Prevention Program.
Trial report in Journal of nutritional science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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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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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.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Objectively determined physical activity and adiposity measures in adult women: A systematic review and meta-analysis.Frontiers in physiology · 2022Pooled it
- Clinical obesity in Asian people: bridging the gap between adiposity and disease.Nature reviews. Endocrinology · 2026Review
- Association Between Anthropometric Indices and Presence of Type 2 Diabetes Mellitus in Obesity.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
- The Association Between Anthropometric Indices and Type 2 Diabetes Mellitus Among Adults: A Cross-Sectional Analysis From the Population-Based Bandare Kong Cohort Study.Health science reports · 2026Article
- The J-shaped relationship between body roundness index and adult asthma: insights from NHANES 2001-2018.Frontiers in nutrition · 2025Article
- An Indian Consensus on Sarcopenia: Epidemiology, Etiology, Clinical Impact, Screening, and Therapeutic Approaches.International journal of general medicine · 2025Article
- Observational
- Impact of adiposity indices changes across the lifespan on risk of diabetes in women: trajectory modeling approach.BMC public health · 2024Article
- Association between predicted fat mass, predicted lean mass, predicted percent fat and type 2 diabetes mellitus in Japanese adults: a retrospective study.BMC endocrine disorders · 2024Article
- Comparison of Incidence of Metabolic Syndrome and Five Obesity- and Lipid-Linked Indicators for Predicting Metabolic Syndrome Among Normal-Weight and Overweight Adults.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- South Asian Working Action Group on SARCOpenia (SWAG-SARCO) - A consensus document.Osteoporosis and sarcopenia · 2022Review
- Risk factors for hypertension and diabetes comorbidity in a Korean population: A cross-sectional study.PloS one · 2022Article
- Body Roundness Index and Waist-Hip Ratio Result in Better Cardiovascular Disease Risk Stratification: Results From a Large Chinese Cross-Sectional Study.Frontiers in nutrition · 2022Article
- Assessing temporal differences of baseline body mass index, waist circumference, and waist-height ratio in predicting future diabetes.Frontiers in endocrinology · 2022Article
- Trabecular Bone Score and Bone Mineral Density in Postmenopausal Women with Morbid Obesity-A Clinical Paradox.Medical sciences (Basel, Switzerland) · 2021Article
- Maternal malnutrition and anaemia in India: dysregulations leading to the 'thin-fat' phenotype in newborns.Journal of nutritional science · 2021Review
- Barocrinology: The Endocrinology of Obesity from Bench to Bedside.Medical sciences (Basel, Switzerland) · 2020Review
- The Prevalence and Predictors of Non-alcoholic Fatty Liver Disease in Morbidly Obese Women - A Cross-sectional Study from Southern India.European endocrinology · 2020Article
- ESI Clinical Practice Guidelines for the Evaluation and Management of Obesity In India.Indian journal of endocrinology and metabolismArticle
- Barophenotypic Characterization - The key to Person Centric Management of Obesity.Indian journal of endocrinology and metabolismArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Obesity indicators are known to predict the presence of type 2 diabetes mellitus (T2DM); however, evidence for which indicator best identifies undiagnosed T2DM in the Indian population is still very limited. In the present study we examined the utility of different obesity indicators to identify the presence of undiagnosed T2DM and determined their appropriate cut point for each obesity measure. Individuals were recruited from the large-scale population-based Kerala Diabetes Prevention Program. Oral glucose tolerance tests was performed to diagnose T2DM. Receiver operating characteristic (ROC) curve analyses were used to compare the association of different obesity indicators with T2DM and to determine the optimal cut points for identifying T2DM. A total of 357 new cases of T2DM and 1352 individuals without diabetes were identified. The mean age of the study participants was 46⋅4 (sd 7⋅4) years and 62 % were men. Waist circumference (WC), waist:hip ratio (WHR), waist:height ratio (WHtR), BMI, body fat percentage and fat per square of height were found to be significantly higher (
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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.