A systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023) DOI Creative Commons
Eun-Sil Her,

Erk Her

Korean Journal of Community Nutrition, Journal Year: 2024, Volume and Issue: 29(6), P. 445 - 454

Published: Dec. 31, 2024

Objectives: Obesity rates are rapidly rising in Korea. Weight control is highly involved obesity treatment. This study aimed to explore research trends related weight through keyword network analysis. By focusing on journals indexed the Korea Citation Index (KCI), this highlights specific Korea, offering insights that reflect country’s unique cultural and policy contexts research.Methods: collected keywords from control-related papers published KCI journal over past 20 years. Keywords were cleaned Textom (2024), relationships between key issue frequency analysis, structural characteristics, identified using Textom, UCINET6, NetDraw.Results: Over years, 40 50 studies have been conducted each year. The Korean Journal of Community Nutrition had largest number articles. Keyword analysis showed ‘obesity’ highest frequency. And degree centrality betweenness centrality, ranked highest. CONCOR four clusters: preventive health care, management, physical health, personal development.Conclusion: results reflecting characteristics times has steadily progressing relation increasing when developing policies or setting directions loss future, should be a prospective manner by subdividing it according groups interests.

Language: Английский

Rubia akane Nakai Fruit Extract Improves Obesity and Insulin Sensitivity in 3T3-L1 Adipocytes and High-Fat Diet-Induced Obese Mice DOI Open Access

Juhye Park,

Eunbi Lee,

Ju‐Ock Nam

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(5), P. 1833 - 1833

Published: Feb. 20, 2025

A rise in obesity during the COVID-19 pandemic has spurred development of safe and effective natural anti-obesity agents. In this study, we propose Rubia akane Nakai fruit extract (RFE) as a potential product-based agent. R. is plant Rubiaceae family that grows throughout Republic Korea. Its roots have long been used medicinally are known for various bioactivities, but fruit’s bioactivities unexplored. We investigated effects RFE using 3T3-L1 adipocytes high-fat diet-induced obese mice. adipocytes, inhibited adipogenic differentiation lipogenesis by downregulating PPARγ (peroxisome proliferator-activated receptor γ), C/EBPα (CCAAT enhancer-binding protein α), SREBP-1 (sterol regulatory element-binding 1) through AMPK (AMP-activated kinase) activation delaying initiation MCE (mitotic clonal expansion), which essential early adipogenesis. At vivo level, improved phenotypes insulin resistance. white adipose tissue, not only suppressed also sensitivity upregulating basal GLUT4 (glucose transporter type 4) expression. Therefore, study advances treatment

Language: Английский

Citations

0
Angelica gigas Nakai extract exerts anti-obesity effects by inducing lipolysis and thermogenesis in 3T3-L1 adipocytes DOI Open Access

Juhye Park,

Eunbi Lee,

Ju‐Ock Nam

et al.

Journal of Applied Biological Chemistry, Journal Year: 2025, Volume and Issue: 68

Published: April 28, 2025

Language: Английский

Citations

0
Correlation Analysis among Searches of Anti-Obesity Medications, Herbal Medicine, and Supplements Using Big Data: from 2016 to 2024 DOI Open Access
Suhyun Kwon, Shufen Han, Jia Ryu

et al.

Journal of Korean Medicine for Obesity Research, Journal Year: 2024, Volume and Issue: 24(2), P. 133 - 143

Published: Dec. 31, 2024

대한비만학회에서 발표한 2023년 obesity fact sheet에 의하면 서구화된 식습관 등에 의해 최근 10년간 성인의 비만 유병률은 지속적으로

Citations

0
A systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023) DOI Creative Commons
Eun-Sil Her,

Erk Her

Korean Journal of Community Nutrition, Journal Year: 2024, Volume and Issue: 29(6), P. 445 - 454

Published: Dec. 31, 2024

Objectives: Obesity rates are rapidly rising in Korea. Weight control is highly involved obesity treatment. This study aimed to explore research trends related weight through keyword network analysis. By focusing on journals indexed the Korea Citation Index (KCI), this highlights specific Korea, offering insights that reflect country’s unique cultural and policy contexts research.Methods: collected keywords from control-related papers published KCI journal over past 20 years. Keywords were cleaned Textom (2024), relationships between key issue frequency analysis, structural characteristics, identified using Textom, UCINET6, NetDraw.Results: Over years, 40 50 studies have been conducted each year. The Korean Journal of Community Nutrition had largest number articles. Keyword analysis showed ‘obesity’ highest frequency. And degree centrality betweenness centrality, ranked highest. CONCOR four clusters: preventive health care, management, physical health, personal development.Conclusion: results reflecting characteristics times has steadily progressing relation increasing when developing policies or setting directions loss future, should be a prospective manner by subdividing it according groups interests.

Language: Английский

Citations

0