The application and predictive value of the weight-adjusted-waist index in BC prevalence assessment: a comprehensive statistical and machine learning analysis using NHANES data

The application and predictive value of the weight-adjusted-waist index in BC prevalence assessment: a comprehensive statistical and machine learning analysis using NHANES data

Abstract Background Obesity is a known risk factor for breast cancer (BC), but conventional metrics such as body mass index (BMI) may insufficiently capture central adiposity. The weight-adjusted waist index (WWI) has emerged as a potentially superior anthropometric marker of central adiposity, as i...

Full description

Saved in:
Bibliographic Details
Main Authors: Wenjing Wang, Biao Wu, Jian Li, Yibiao Shang, Mengting Liu, Qi Fang, Han Zhang, Xiang Li, Dongdi Wu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Cancer
Subjects:
National health and nutrition examination survey
Breast cancer
Weight-adjusted-waist index
Obesity
Central adiposity
Machine Learning
Online Access:https://doi.org/10.1186/s12885-025-14651-6
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12885-025-14651-6

Similar Items