Risk factors analysis and prediction models of obesity in college students based on dietary patterns.

ABSTRACT:

Background

Overweight and obesity among college students have become significant public health concerns. This study aims to develop a nomogram model for assessing obesity risk in college students.

Methods

A cross-sectional study was conducted among college students in Xuzhou. Demographic, dietary, and lifestyle information was obtained through self-administered questionnaires, while body composition was assessed using the InBody 570 analyzer. Dietary patterns and obesity prevalence were examined through multiple indicators. Principal component analysis (PCA), logistic regression, and a non-invasive risk assessment model based on percentage of body fat (PBF) were applied.

Results

The vegetable meat grain dietary pattern and milk egg dietary pattern were associated with

SUBMITTER: Bai J 

PROVIDER: S-EPMC12460112 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature