Loading
Life sciences · Journal article
Endocrinology Diabetes & Metabolism · October 22, 2026
No summary has been generated for this record yet. What follows is drawn from its source metadata only.
Journal article.
No findings were extractable from the material analysed.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
The source did not state who this applies to in practice.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
This record has not been graded across any dimension yet. Treat the label above as provisional and read the source.
What is missing. This record has no bottom line, key findings, reported figures, evidence dimensions. That is a gap in the analysis, not a judgement about the study.
ABSTRACT Background Obesity is a major risk factor for cardiovascular disease, but traditional measures like BMI and waist circumference have limitations. New indices, BRI and ABSI, may better reflect fat distribution and cardiovascular risk. This study examined their association with carotid intima‐media thickness (cIMT) in young healthy adults. Methods In this cross‐sectional study within the Tehran Lipid and Glucose Study (TLGS) framework, 572 adults aged 20–40 years underwent anthropometric assessments, biochemical tests and carotid ultrasound for cIMT measurement. Anthropometric indices including BMI, WC, waist‐to‐height ratio (WHtR), ABSI and BRI were calculated. Associations between these indices and cIMT were analysed using correlation and multivariable linear regression models adjusting for demographic, metabolic and lifestyle factors. Receiver operating characteristic (ROC) curve analyses assessed the predictive ability of the indices for elevated cIMT. Result BRI and WHtR were nearly collinear ( r = 0.997) and showed modest positive correlations with cIMT in unadjusted analyses ( r = 0.103 for both), but these associations weakened after adjustment for cardiometabolic risk factors. WC was the only independent predictor of cIMT in partially adjusted models, though this significance disappeared in fully adjusted analyses. ABSI exhibited a significant but mechanistically unexpected inverse association with cIMT. ROC analyses indicated limited discriminative power for all anthropometric measures in predicting high cIMT, with BRI and WHtR having the highest but still modest area under the curve (AUC). Conclusion In young healthy adults, BRI and WHtR showed modest associations with subclinical carotid atherosclerosis, which weakened after adjustment. Waist circumference was an inconsistent predictor, and ABSI demonstrated an inverse relationship with cIMT. Further longitudinal studies are needed to confirm their clinical utility.