Research trends relating to body weight control: a systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023)
Objectives Obesity rates are rapidly rising in Korea. Weight control is highly involved in obesity treatment. This study aimed to explore research trends related to weight control through keyword network analysis. By focusing on journals indexed in the Korea Citation Index (KCI), this study highligh...
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The Korean Society of Community Nutrition
2024-12-01
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Online Access: | http://kjcn.or.kr/upload/pdf/kjcn-2024-00269.pdf |
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author | Yunkyoung Oh Eunsil Her |
author_facet | Yunkyoung Oh Eunsil Her |
author_sort | Yunkyoung Oh |
collection | DOAJ |
description | Objectives Obesity rates are rapidly rising in Korea. Weight control is highly involved in obesity treatment. This study aimed to explore research trends related to weight control through keyword network analysis. By focusing on journals indexed in the Korea Citation Index (KCI), this study highlights trends specific to Korea, offering insights that reflect the country’s unique cultural and policy contexts in weight control research. Methods This study collected keywords from weight control-related papers published in the KCI journal over the past 20 years. Keywords were cleaned through Textom (2024), and the relationships between key research issue frequency analysis, structural characteristics, and keywords were identified using Textom, UCINET6, and NetDraw. Results Over the past 20 years, 40 to 50 studies related to weight control have been conducted each year. The Korean Journal of Community Nutrition had the largest number of published articles. Keyword frequency analysis showed that ‘obesity’ had the highest frequency. And the analysis of degree centrality and betweenness centrality, the keyword ‘obesity’ ranked the highest. CONCOR analysis identified four clusters: preventive health care, health management, physical health, and personal development. Conclusion The results of this study showed that weight control research reflecting the characteristics of the times has been steadily progressing in relation to the rapidly increasing obesity in Korea, and when developing policies or setting research directions related to weight loss in the future, research should be conducted in a prospective manner by subdividing it according to groups and interests. |
format | Article |
id | doaj-art-cf9d6c89ac874432bdb7c74dc1b9f9d3 |
institution | Kabale University |
issn | 2951-3146 |
language | English |
publishDate | 2024-12-01 |
publisher | The Korean Society of Community Nutrition |
record_format | Article |
series | Korean Journal of Community Nutrition |
spelling | doaj-art-cf9d6c89ac874432bdb7c74dc1b9f9d32025-02-03T23:30:24ZengThe Korean Society of Community NutritionKorean Journal of Community Nutrition2951-31462024-12-0129644545410.5720/kjcn.2024.002691665Research trends relating to body weight control: a systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023)Yunkyoung Oh0Eunsil Her1 Professor, Department of Cosmetology, Changshin University, Changwon, Korea Professor, Department of Food and Nutrition, Changshin University, Changwon, KoreaObjectives Obesity rates are rapidly rising in Korea. Weight control is highly involved in obesity treatment. This study aimed to explore research trends related to weight control through keyword network analysis. By focusing on journals indexed in the Korea Citation Index (KCI), this study highlights trends specific to Korea, offering insights that reflect the country’s unique cultural and policy contexts in weight control research. Methods This study collected keywords from weight control-related papers published in the KCI journal over the past 20 years. Keywords were cleaned through Textom (2024), and the relationships between key research issue frequency analysis, structural characteristics, and keywords were identified using Textom, UCINET6, and NetDraw. Results Over the past 20 years, 40 to 50 studies related to weight control have been conducted each year. The Korean Journal of Community Nutrition had the largest number of published articles. Keyword frequency analysis showed that ‘obesity’ had the highest frequency. And the analysis of degree centrality and betweenness centrality, the keyword ‘obesity’ ranked the highest. CONCOR analysis identified four clusters: preventive health care, health management, physical health, and personal development. Conclusion The results of this study showed that weight control research reflecting the characteristics of the times has been steadily progressing in relation to the rapidly increasing obesity in Korea, and when developing policies or setting research directions related to weight loss in the future, research should be conducted in a prospective manner by subdividing it according to groups and interests.http://kjcn.or.kr/upload/pdf/kjcn-2024-00269.pdfbig datajournal articlebody weight |
spellingShingle | Yunkyoung Oh Eunsil Her Research trends relating to body weight control: a systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023) Korean Journal of Community Nutrition big data journal article body weight |
title | Research trends relating to body weight control: a systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023) |
title_full | Research trends relating to body weight control: a systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023) |
title_fullStr | Research trends relating to body weight control: a systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023) |
title_full_unstemmed | Research trends relating to body weight control: a systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023) |
title_short | Research trends relating to body weight control: a systematic review and keyword network analysis of Korea Citation Index Journals (2004–2023) |
title_sort | research trends relating to body weight control a systematic review and keyword network analysis of korea citation index journals 2004 2023 |
topic | big data journal article body weight |
url | http://kjcn.or.kr/upload/pdf/kjcn-2024-00269.pdf |
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