Non-linear associations of a body shape index with diabetes among adults: A cross-sectional study.

ABSTRACT:

Objective

This study aimed to explore the relationship between a body shape index (ABSI) and diabetes, and to assess the robustness of this relationship across different population subgroups.

Methods

Utilizing data from the National Health and Nutrition Examination Survey (NHANES) database, this study employed multivariate linear regression analysis to evaluate the association between ABSI and the likelihood of having diabetes. This research further explored non-linear issues in gender stratification through smooth curve fitting and two-part linear regression models, analyzing different subgroups including gender, race, hypertension, and stroke.

Results

A total of 34,693 participants were involved in the study, with a diabetes prevalence of 11.60%. The prevalence incr

SUBMITTER: Chen K 

PROVIDER: S-EPMC12548853 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature