What drives weight status among female university students? A machine learning analysis of sociodemographic, dietary, and lifestyle determinants

BackgroundObesity and underweight are increasingly common among young adult women, often resulting from complex interactions between diet, lifestyle, and socioeconomic factors. This study addresses that gap by applying machine learning to a wide range of behavioral, dietary, and demographic data. Th...

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Bibliographic Details

Published in:	Frontiers in Nutrition
Main Authors:	Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, Ayesha Al Dhaheri, Sharifa Alblooshi, Razan Abu Ghoush, Stephanny Vicuna Polo, Malak Amro, Suliman Thwib, Ghada Issa, Haleama Al Sabbah
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-07-01
Subjects:	body mass index dietary patterns lifestyle behaviors machine learning obesity weight management
Online Access:	https://www.frontiersin.org/articles/10.3389/fnut.2025.1574063/full