Predictors of Body Weight Loss and Body Weight Loss Maintenance in Children and Adolescents following Inpatient Multidisciplinary Obesity Treatment

This study provides initial indications that energy intake, in interaction with psychological and physiological factors, may be relevant to understanding BWL and BWLM in pediatric obesity, warranting further investigation.

Authors

Institutions

Publication Details

Journal
Obesity Facts
Published
2025-11-05
DOI
https://doi.org/10.1159/000548602
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of Body Weight Loss and Body Weight Loss Maintenance in Children and Adolescents following Inpatient Multidisciplinary Obesity Treatment

Björn Horing, Alisa Weiland, Lena Kasemann, Nazar Mazurak et al.
Obesity Facts
Eating Disorders and Behaviors
article

Predictors of Body Weight Loss and Body Weight Loss Maintenance in Children and Adolescents following Inpatient Multidisciplinary Obesity Treatment

Björn Horing, Alisa Weiland, Lena Kasemann, Nazar Mazurak, Stephan Zipfel, Paul Enck, Isabelle Mack, Helene Sauer
article en

Abstract

This study provides initial indications that energy intake, in interaction with psychological and physiological factors, may be relevant to understanding BWL and BWLM in pediatric obesity, warranting further investigation.

Obesity Facts
Universitätsklinikum Tübingen (DE), Hochschule Fresenius (DE), University of Tübingen (DE)
Openalex Percentile: Top 55%
Eating Disorders and Behaviors
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.