Key result
Higher waist-hip ratio, body mass index, and body fat percentage were significantly associated with the highest quartile of postprandial insulin, with waist-hip ratio showing the strongest association (PR 5.85).
Why the study?
Are anthropometric markers of adiposity (BMI, WHR, BFP) associated with postprandial hyperinsulinemia in adults without known metabolic disease?
Observational (n=752)
No
Are anthropometric markers of adiposity (BMI, WHR, BFP) associated with postprandial hyperinsulinemia in adults without known metabolic disease?
Effect estimate: PR 5.85 (95% CI 3.76 to 9.10)
p-value: p=<0.01
Anthropometric markers of adiposity, particularly waist-hip ratio and body fat percentage, are strongly associated with postprandial hyperinsulinemia in adults without known metabolic disease, suggesting their utility in identifying hidden cardiometabolic risk.
Adiposity markers may aid early hyperinsulinemia risk detection; hypothesis-generating and requires prospective validation before practice change.
Our objective was to evaluate the relationship between postprandial hyperinsulinemia with three anthropometric markers of adiposity; body mass index (BMI), waist hip ratio (WHR) and body fat percentage (BFP). We carry out a retrospective observational study reviewed medical records of 752 patients who attended outpatient endocrinology, no previous diagnosis of metabolic disease, but with a family history of metabolic risk in the period 2012 to 2014. We collected demographic, anthropometric measurements (BMI, WHR, and BFP) and postprandial insulin values (quartiles 1, 2, 3 and 4) between 30 to 60 minutes into oral glucose tolerance test. For testing the association between anthropometric measurements and postprandial insulin quartiles, we use a univariate and multivariate multinomial logistic regression model. The measure of association is presented as relative prevalence ratio (PR) with confidence intervals (CI) at 95%. The mean age was 37.5 years 14.8 and 66% of the participants were women. In the univariate analysis using quartile 1 as references, quartiles 3 and 4 were associated with BMI, WHR and BFP. In multivariate analysis, quartiles 3 and 4 remained associated with markers of adiposity. BMI; PR=1.15, 95% CI (1.10 to 1.22) and PR=1.25, 95% CI (1.19 to 1.32) for quartiles 3 and 4; respectively. WHR; PR=3.25, 95% CI (2.17 to 4.87) and PR=5.85, 95% CI (3.76 to 9.10) for quartiles 3 and 4 respectively. BFP; PR=1.09, 95% CI (1.05 to 1.12) and PR=1.14, 95% CI (1.10 to 1.18) for quartiles 3 and 4; respectively.
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Betzi Pantoja Torres (2016) conducted an observational in Postprandial hyperinsulinemia (n=752). Anthropometric markers (BMI, WHR, BFP) vs. Lowest quartile of postprandial insulin (Quartile 1) was evaluated on Highest quartile of postprandial insulin (Quartile 4) per 0.1 unit increase in waist-hip ratio (PR 5.85, 95% CI 3.76 to 9.10, p=<0.01). Higher waist-hip ratio, body mass index, and body fat percentage were significantly associated with the highest quartile of postprandial insulin, with waist-hip ratio showing the strongest association (PR 5.85).
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