Cross-sectional and prospective associations between children's eating behavior and visceral fat area and trunk fat mass

Our findings suggest that eating behaviors are significantly associated with abdominal fat accumulation in primary school children. Addressing specific eating behaviors may be crucial in mitigating abdominal fat and its related health risks.

Authors

Institutions

Publication Details

Journal
Frontiers in Pediatrics
Published
2024-12-12
DOI
https://doi.org/10.3389/fped.2024.1514535
Citations
1
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
0.54

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-sectional and prospective associations between children's eating behavior and visceral fat area and trunk fat mass

Youxin Wang, Miao Xu, Li Li, Ping Zhang et al.
1 citations
Frontiers in Pediatrics
Obesity, Physical Activity, Diet
0.54
article

Cross-sectional and prospective associations between children's eating behavior and visceral fat area and trunk fat mass

Youxin Wang, Miao Xu, Li Li, Ping Zhang, Hui Wang, Fangjing Shen, Danqi Qiu
article en
1 citations

Abstract

Our findings suggest that eating behaviors are significantly associated with abdominal fat accumulation in primary school children. Addressing specific eating behaviors may be crucial in mitigating abdominal fat and its related health risks.

Frontiers in PediatricsVol. 12
Ningbo University (CN), Peking University (CN), Ningbo First Hospital (CN)
Cyrus Tang Foundation
Zero hunger
Openalex Percentile: Top 26%
Obesity, Physical Activity, Diet
0.54
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.