ArticleHealth science reports2025
A Nonlinear Association of Body Mass Index and Fasting Blood Glucose: A Dose-Response Analysis From Fasa Adults Cohort Study (FACS).
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Generalizability of Progression Risk in the TN-10 Trial to a European Population With or Without a First-Degree Relative With Type 1 Diabetes.Diabetes care · 2026Article
- Machine learning predicts diabetes risk in high-risk populations: analysis of National Health and Nutrition Examination Survey data.Archives of medical science : AMS · 2026Article
- Association of serum urea-to-creatinine and creatinine-to-cystatin C ratios with bone mineral density and osteoporosis: a cross-sectional study.Scientific reports · 2025Article
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Authors and funding
6 authors.
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Abstract
Background and Aims: Obesity is associated with diabetes; however, the dose-response association between body mass index (BMI) and fasting blood glucose (FBG) remains unclear. This study aims to evaluate the dose-response relationship between BMI and the risk of prediabetes and diabetes among adults. Methods: A total of 10,135 participants were enrolled in this study from the baseline profiles of the Fasa Adults Cohort Study (FACS) conducted between October 2014 and September 2016. Multivariable logistic regression model and restricted cubic spline (RCS) were applied to evaluate the dose-response relationship between BMI and the risk of prediabetes and diabetes. Statistical analyses were performed using the software R (4.3.1), taking the significance level at 0.05. Results: Findings indicated that after adjusting the confounding variables, the risk of diabetes was increased by increasing BMI (overweight: OR = 1.67, 95% CI = 1.36-2.06; obese: OR = 1.76, 95% CI = 1.37-2.26). The results of dose-response analysis displayed a nonlinear J-shaped association between BMI and the risk of diabetes ( Conclusion: Based on our research, a higher BMI is a dose-dependent, independent risk factor for diabetes. As a result, prevention initiatives should think about emphasizing ongoing BMI modifications.
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