Development and validation of a predictive model for weight loss psychological distress in obese patients: a cross-sectional study

This study developed a predictive model for weight loss psychological distress in obese patients, which has strong predictive performance and has been verified by internal and external cohorts. It was helpful for the early detection of high-risk groups for weight loss psychological distress.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2025-12-01
DOI
https://doi.org/10.3389/fpubh.2025.1700100
Primary Topic
Bariatric Surgery and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a predictive model for weight loss psychological distress in obese patients: a cross-sectional study

Xuqi Li, Jiazhen Tang, Mei‐Ling Liu, Zhichao Cheng et al.
Frontiers in Public Health
Bariatric Surgery and Outcomes
article

Development and validation of a predictive model for weight loss psychological distress in obese patients: a cross-sectional study

Xuqi Li, Jiazhen Tang, Mei‐Ling Liu, Zhichao Cheng, Caihong Huang
article en

Abstract

This study developed a predictive model for weight loss psychological distress in obese patients, which has strong predictive performance and has been verified by internal and external cohorts. It was helpful for the early detection of high-risk groups for weight loss psychological distress.

Frontiers in Public HealthVol. 13
Nanchang University (CN), First Affiliated Hospital of Gannan Medical University (CN), Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine (CN), First Affiliated Hospital of Nanchang University (CN)
Openalex Percentile: Top 43%
Bariatric Surgery and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.