Work

A comparative analysis of anthropometric indices for identifying prediabetes in US adults: results from NHANES 2021–2023

Year: 2025

Type: article

Abstract: Objective: This study evaluates the association between various anthropometric indices and prediabetes prevalence among adults in the United States. Methods: We conducted a cross-sectional analysis on participants aged ≥20 years using data from the National Health and Nutrition Examination Survey (NHANES) cycles 2021-2023. Weight, height, waist circumference, and hip circumference were used to calculate indices such as BMI, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), conicity index, abdominal volume index (AVI), body roundness index (BRI), body adiposity index (BAI), and a body shape index (ABSI). Multivariable logistic regression assessed associations between indices and prediabetes risk. Receiver Operating Characteristic (ROC) curve analysis evaluated the discriminatory power of each index. Results: < 0.05). WHR demonstrated the highest discriminatory power (AUC: 0.695; 95 % CI; 0.674, 0.716), followed by conicity index (AUC; 0.693; 95 % CI; 0.672, 0.714). Conclusions: Central adiposity measures, particularly WHR and CI, are more effective than BMI in identifying individuals at risk for prediabetes. However, due to the cross-sectional nature of our study, causal relationships between anthropometric indices and prediabetes risk cannot be established.

Source: Preventive Medicine Reports

DOI: 10.1016/j.pmedr.2025.103345

Authors: Xi Chen, Lijun Yan, Jie Yang, Shufang Yang

Institutions: The Affiliated Taizhou People's Hospital of Nanjing Medical University, Nanjing Medical University, Jiangsu Province Hospital

Language: English

Topic: Diabetes, Cardiovascular Risks, and Lipoproteins

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,610