Junglim Lee, Youngji Kim, Eun-Ah Kwak, Seungmi Park
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The most important keywords were 'exposure', ‘fetus’, ‘hypoglycemia’, 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were ‘cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: ‘cardiovascular disease’, ‘obesity’, ‘complication prevention strategy’, ‘support of breastfeeding’, ‘educational program’ and ‘management of GDM’. Conclusion: This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.","PeriodicalId":36262,"journal":{"name":"Journal of Korean Academic Society of Nursing Education","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A study on research trends for gestational diabetes mellitus and breastfeeding: Focusing on text network analysis and topic modeling\",\"authors\":\"Junglim Lee, Youngji Kim, Eun-Ah Kwak, Seungmi Park\",\"doi\":\"10.5977/JKASNE.2021.27.2.175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: The aim of this study was to identify core keywords and topic groups in the ‘Gestational diabetes mellitus (GDM) and Breastfeeding’ field of research for better understanding research trends in the past 20 years. Methods: This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. Results: A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', ‘fetus’, ‘hypoglycemia’, 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were ‘cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: ‘cardiovascular disease’, ‘obesity’, ‘complication prevention strategy’, ‘support of breastfeeding’, ‘educational program’ and ‘management of GDM’. 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引用次数: 4
摘要
目的:本研究的目的是识别“妊娠期糖尿病(GDM)与母乳喂养”研究领域的核心关键词和主题组,以便更好地了解近20年来的研究趋势。方法:本研究是一项文本挖掘和主题建模研究,包括四个步骤:1)收集摘要,2)提取和清理语义语素,3)构建共现矩阵,4)分析网络特征并聚类主题组。结果:在Web of Science、CINAHL、RISS、DBPIA、RISS、KISS等数据库中共检索到2001 ~ 2020年发表的论文635篇。其中,根据条件选取366篇文章,提取出3639个单词,通过文本网络分析和主题建模进行分析。最重要的关键词是“暴露”、“胎儿”、“低血糖”、“预防”和“程序”。通过主题建模确定了六个主题组。该研究的主要主题是“心血管疾病”和“肥胖”。通过主题建模分析,得出六个主题:“心血管疾病”、“肥胖”、“并发症预防策略”、“母乳喂养支持”、“教育计划”和“GDM管理”。结论:本研究表明,在过去的20年里,对妊娠糖尿病和母乳喂养相关的心血管疾病、肥胖等并发症进行了大量的研究。为了预防妊娠期糖尿病并发症,促进母乳喂养,护理领域应制定各种护理干预措施,包括妊娠期糖尿病管理和妊娠期糖尿病妊娠教育计划。
A study on research trends for gestational diabetes mellitus and breastfeeding: Focusing on text network analysis and topic modeling
Purpose: The aim of this study was to identify core keywords and topic groups in the ‘Gestational diabetes mellitus (GDM) and Breastfeeding’ field of research for better understanding research trends in the past 20 years. Methods: This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. Results: A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', ‘fetus’, ‘hypoglycemia’, 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were ‘cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: ‘cardiovascular disease’, ‘obesity’, ‘complication prevention strategy’, ‘support of breastfeeding’, ‘educational program’ and ‘management of GDM’. Conclusion: This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.