ArticleBMJ open diabetes research & care2020
30-minute postload plasma glucose levels during an oral glucose tolerance test predict the risk of future type 2 diabetes: the Hisayama Study.
Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 9 citations in OpenAlex.
- Impact of iGlarLixi on Glycaemic Control Depth and Variability in Asian Pacific People With Type 2 Diabetes: A Post Hoc Analysis of LixiLan-O-AP and LixiLan-L-CN.Diabetes, obesity & metabolism · 2026Trial
- Sleep-Aligned Extended Overnight Fasting Improves Nighttime and Daytime Cardiometabolic Function.Arteriosclerosis, thrombosis, and vascular biology · 2026Trial
- Overnight wakefulness impairs next-day postprandial glucose in young women independent of sex hormones.The Journal of clinical endocrinology and metabolism · 2026Article
- Association of the uric acid to albumin ratio with early glycemic disturbances beyond conventional OGTT criteria.BMC endocrine disorders · 2026Observational
- Evaluation of glycemic response and starch digestibility in Korean rice toward the development of low GI rice.Frontiers in plant science · 2025Article
- Prediabetes and Cardiometabolic Risk: The Need for Improved Diagnostic Strategies and Treatment to Prevent Diabetes and Cardiovascular Disease.Biomedicines · 2024Review
- Thirty-Minute Post-load Glucose Could Be a Useful Screening Measure for Abnormal Oral Glucose Tolerance Test Response in Adolescents with Obesity.Journal of obesity & metabolic syndrome · 2022Article
- Prediction of antidiabetic effect after gastrectomy with Roux-en-Y reconstruction in patients with gastric cancer and type 2 diabetes.Medicine · 2022Article
- Association of sickle cell trait with β-cell dysfunction and physical activity in adults living with and without HIV in Tanzania.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2022Article
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Authors and funding
14 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionTo investigate the associations of 30 min postload plasma glucose (30 mPG) levels during an oral glucose tolerance test (OGTT) with the risk of future diabetes in a general Japanese population. RESEARCH DESIGN AND
methodsA total of 2957 Japanese community-dwelling residents without diabetes, aged 40-79 years, participated in the examinations in 2007 and 2008 (participation rate, 77.1%). Among them, 2162 subjects who received 75 g OGTT in a fasting state with measurements of plasma glucose level at 0, 30, and 120 min were followed up for 7 years (2007-2014). Cox's proportional hazards model was used to estimate HRs and their 95% CIs of each index for the development of type 2 diabetes using continuous variables and quartiles with adjustment for traditional risk factors. The influence of 30 mPG on the predictive ability was estimated with Harrell's C-statistics, integrated discrimination improvement (IDI), and the continuous net reclassification index (cNRI).
resultsDuring follow-up, 275 subjects experienced type 2 diabetes. Elevated 30 mPG levels were significantly associated with increased risk of developing diabetes (p<0.01 for trend): the multivariable-adjusted HR was 8.41 (95% CI 4.97 to 14.24) for the highest versus the lowest quartile, and 2.26 (2.04 to 2.52) per 1 SD increase. This association was attenuated but remained significant after further adjustment for fasting and 2-hour postload plasma glucose levels. Incorporation of 30 mPG into the model including traditional risk factors with fasting and 2-hour postload plasma glucose levels for diabetes improved the predictive ability of type 2 diabetes (improvement in Harrell's C-statistics values: from 0.828 to 0.839, p<0.01; IDI: 0.016, p<0.01; cNRI: 0.103, p=0.37).
conclusionsElevated 30 mPG levels were associated with increased risk of diabetes, and inclusion of 30 mPG levels significantly improved the predictive ability for future diabetes, suggesting that 30 mPG may be useful for identifying high-risk populations for type 2 diabetes.
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