ArticlePloS one2018
Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report.
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 36 papers, 2 of them syntheses that pooled it.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- Association between gestational diabetes mellitus and risk of breast cancer: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- The relationship between the level of exercise and hemoglobin AEndocrine · 2021Pooled it
- Trial
- The sodium-glucose cotransporter 2 inhibitor ipragliflozin improves liver function and insulin resistance in Japanese patients with type 2 diabetes.Scientific reports · 2022Trial
- Long-term (52-week) efficacy and safety of dapagliflozin as an adjunct to insulin therapy in Japanese patients with type 1 diabetes: Subgroup analysis of the DEPICT-2 study.Diabetes, obesity & metabolism · 2021Trial
- Target tissue insulin resistance in early and late onset of overweight or obesity.International journal of obesity (2005) · 2026Article
- Circadian influences on glycemic control in 24-hr fasts initiated at different mealtimes.Frontiers in nutrition · 2026Article
- Adherence to combined healthy lifestyle and odds of metabolic syndrome in Iranian adults: the PERSIAN Dena cohort study.Scientific reports · 2025Article
- Pregestational BMI Over 23 kg/m2 May Increase Insulin Utilization in Gestational Diabetes Mellitus Patients.Cureus · 2024Article
- Association of dietary and lifestyle inflammatory indices with type 2 diabetes risk in Iranian adults.BMC endocrine disorders · 2024Article
- Article
- Mechanism of muscle atrophy in a normal-weight rat model of type 2 diabetes established by using a soft-pellet diet.Scientific reports · 2024Article
- Body Mass Index is Associated with blood pressure and vital capacity in medical students.Lipids in health and disease · 2023Article
- Triglyceride glucose-body mass index and hypertension risk in iranian adults: a population-based study.BMC endocrine disorders · 2023Article
- Development and validation of an insulin resistance model for a population without diabetes mellitus and its clinical implication: a prospective cohort study.EClinicalMedicine · 2023Article
- Targeted gene panel analysis of Japanese patients with maturity-onset diabetes of the young-like diabetes mellitus: Roles of inactivating variants in the ABCC8 and insulin resistance genes.Journal of diabetes investigation · 2023Article
- Significant impact of body mass index on the relationship between increased white blood cell count and new-onset diabetes.International journal of medical sciences · 2023Article
- Article
- Association between body mass index and reversion to normoglycemia from impaired fasting glucose among Chinese adults: a 5-year cohort study.Frontiers in endocrinology · 2023Article
- Higher scores of dietary and lifestyle inflammatory indices are associated with increased risk of insulin-related disorders in Iranian adults.European journal of clinical nutrition · 2022Article
Corrections and comments
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Authors and funding
15 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScreening for undiagnosed type 2 diabetes mellitus is recommended for Asian Americans with a body mass index ≥23. However, the optimal body mass index cut-off score for predicting the risk of diabetes mellitus in Japanese people is not well known. The aim of this study was to determine the best body mass index cut-off score for predicting insulin resistance and diabetes mellitus in the Japanese population.
methodsThis study had two parts, a clinical investigation and a retrospective observational investigation. In the clinical part of the study, 58 participants (26 with type 2 diabetes mellitus and 32 non-diabetics) underwent a hyperinsulinemic-euglycemic clamp from which their glucose disposal rate was measured. For the retrospective part of the study, medical check-up data from 88,305 people in the Tottori Prefecture were analyzed for clinical evidence of diabetes mellitus. The optimal BMI cut-off scores for prediction of insulin resistance and diabetes mellitus were determined.
resultsIn the clamp study, the optimal body mass index cut-off score to predict insulin resistance in non-diabetic patients was 22.7. All participants with type 2 diabetes mellitus were insulin resistant, and the optimal body mass index cut-off score for prediction of severe insulin resistance was 26.2. When the data from the type 2 diabetic and the non-diabetic participants were combined, the optimal body mass index cut-off score for prediction of insulin resistance was 23.5. Analysis of 88,305 medical check-up records yielded an optimal body mass index cut-off score for prediction of diabetes mellitus of 23.6.
conclusionsThese results suggest that having a body mass index ≥23 is a risk factor for insulin resistance and diabetes mellitus in the Japanese population.
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