Association between snack intake behaviors of children and neighboring women: A population-based cross-sectional analysis with spatial regionalization

The results suggest that the out-of-home physical and social neighborhood environments may have non-ignorable associations with children's dietary behaviors by offering behavioral opportunities in addition to maternal influence.

Authors

Institutions

Publication Details

Journal
SSM - Population Health
Published
2024-10-13
DOI
https://doi.org/10.1016/j.ssmph.2024.101720
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

Association between snack intake behaviors of children and neighboring women: A population-based cross-sectional analysis with spatial regionalization

Hideki Hashimoto, Emiko Yamamoto, Daisuke Takagi
1 citations
SSM - Population Health
Obesity, Physical Activity, Diet
0.54
article

Association between snack intake behaviors of children and neighboring women: A population-based cross-sectional analysis with spatial regionalization

Hideki Hashimoto, Emiko Yamamoto, Daisuke Takagi
article en
1 citations

Abstract

The results suggest that the out-of-home physical and social neighborhood environments may have non-ignorable associations with children's dietary behaviors by offering behavioral opportunities in addition to maternal influence.

SSM - Population HealthVol. 28
The University of Tokyo (JP)
Keio University, Ministry of Education, Culture, Sports, Science and Technology, University of Tokyo
Gender equality
Openalex Percentile: Top 28%
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.