Dietary patterns and obesity are associated with type 2 diabetes risk in elderly Chinese men: a machine learning approach.

ABSTRACT:

Background

Type 2 diabetes mellitus (T2DM) is a major global public health issue, with a particularly high prevalence in China, especially among older men. Obesity, dietary habits, and metabolic risk factors are key contributors to the development of T2DM. However, research on the relationship between dietary patterns, obesity, and T2DM in elderly Chinese men remains limited. Objective: This study aims to examine the links between obesity, dietary habits, blood pressure, and the risk of developing T2DM in elderly Chinese men. We utilize unsupervised machine learning methods along with SHAP-based model interpretation to identify significant lifestyle and metabolic factors associated with T2DM risk.

Methods

A cross-sectional study was conducted with 982 participants aged 60 ye

SUBMITTER: Sun H 

PROVIDER: S-EPMC12689295 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature