Relationship Between Food Insecurity and Poor Cardiovascular Health in Korean Adults

Food insecurity is associated with poor CVH in Korean adults. Specifically, it is associated with current smoking and high blood pressure. Improving food insecurity may help prevent poor CVH in Korea.

Authors

Institutions

Publication Details

Journal
Korean Circulation Journal
Published
2025-08-19
DOI
https://doi.org/10.4070/kcj.2025.0081
Citations
1
Primary Topic
Nutrition, Health and Food Behavior
Type
article
Field-Weighted Citation Impact
1.12

Funders

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

Relationship Between Food Insecurity and Poor Cardiovascular Health in Korean Adults

Jung Yeon Chin, Wonsock Kim, Youn Huh, Seo Young Kang et al.
1 citations
Korean Circulation Journal
Nutrition, Health and Food Behavior
1.12
article

Relationship Between Food Insecurity and Poor Cardiovascular Health in Korean Adults

Jung Yeon Chin, Wonsock Kim, Youn Huh, Seo Young Kang, Jung Hwan Kim, Jae Min Park, Young Sik Kim, Danbi Ku
article en
1 citations

Abstract

Food insecurity is associated with poor CVH in Korean adults. Specifically, it is associated with current smoking and high blood pressure. Improving food insecurity may help prevent poor CVH in Korea.

Korean Circulation JournalVol. 56(2)
Ulsan College (KR), Eulji University (KR), Asan Medical Center (KR), University of Ulsan (KR), The Catholic University of Korea Uijeongbu St. Mary's Hospital (KR), Eulji Medical Center (KR)
Eulji University
Zero hunger
Openalex Percentile: Top 21%
Nutrition, Health and Food Behavior
1.12
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.