Research Trends of Lifestyle Intervention for Women With Obesity: A Text Network Analysis.

Journal of lifestyle medicine Pub Date : 2023-02-28 DOI:10.15280/jlm.2023.13.1.44

Sook Kyoung Park, Ju-Hee Nho

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Abstract

Background: While the number of lifestyle intervention studies for women with obesity continues to increase, the research trends related to this topic should be evaluated through text network analysis.

Methods: A total of 231 relevant studies published in international journals between 2011 and 2021 were identified. Semantic morphemes of the abstracts were refined, and a co-occurrence matrix with 117 keywords was generated using the text network analysis program NetMiner 4.3.

Results: The core keywords were determined as the top 25 in degree centrality, closeness centrality, or betweenness centrality. 'Lifestyle', 'Intervention', 'Diet', 'Exercise', 'Diabetes mellitus', 'Body', 'Composition', 'Quality of life', 'Obesity', 'Gain', 'Diet', and 'Loss' were the most frequently used keywords.

Conclusion: The findings of this study provide a general overview of the research trends in lifestyle interventions for women with obesity and may be used as reference for future research.

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查看原文本刊更多论文

女性肥胖生活方式干预的研究趋势:文本网络分析。

背景:在针对女性肥胖的生活方式干预研究不断增多的同时，需要通过文本网络分析来评估与该主题相关的研究趋势。方法:选取2011 - 2021年间发表在国际期刊上的231篇相关研究。利用文本网络分析程序NetMiner 4.3对摘要的语义语素进行提炼，生成包含117个关键词的共现矩阵。结果:核心关键词的度中心性、接近中心性或中间中心性均为前25名。“生活方式”、“干预”、“饮食”、“运动”、“糖尿病”、“身体”、“成分”、“生活品质”、“肥胖”、“增益”、“饮食”和“损失”是最常用的关键词。结论:本研究结果概述了肥胖女性生活方式干预的研究趋势，可为今后的研究提供参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Journal of lifestyle medicine

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