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.

Journal: BMC cancer
Published Date: Jul 29, 2025

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 it provides a more accurate reflection of fat distribution around the abdomen compared to traditional measures such as BMI. This study aimed to investigate the association between WWI and BC prevalence using data from a nationally representative population in the United States.

Authors

  • Wenjing Wang
    School of Economics, Tianjin University of Commerce, Tianjin, 300134, China. Electronic address: maggiewwj@163.com.
  • Biao Wu
    School of Computer Science, Guangdong University of Technology, China.
  • Jian Li
    Fujian Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health, College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China.
  • Yibiao Shang
    First Affiliated Hospital of Nanchang University, No.17 Yongwai Zhengjie, Nanchang, Jiangxi, China.
  • Mengting Liu
    Department of Ophthalmology, The Second Xiangya Hospital, Hunan Clinical Research Centre of Ophthalmic Disease, Central South University, Changsha, Hunan, China.
  • Qi Fang
    State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China; School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.
  • Han Zhang
    Johns Hopkins University, Baltimore, MD, USA.
  • Xiang Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Dongdi Wu
    First Affiliated Hospital of Nanchang University, No.17 Yongwai Zhengjie, Nanchang, Jiangxi, China. yfywdd31@163.com.

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