Research trends in the Korean Journal of Women Health Nursing from 2011 to 2021: a quantitative content analysis
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Purpose: Topic modeling is a text mining technique that extracts concepts from textual data and uncovers semantic structures and potential knowledge frameworks within context. This study aimed to identify major keywords and network structures for each major topic to discern research trends in women’s health nursing published in the Korean Journal of Women Health Nursing (KJWHN) using text network analysis and topic modeling. Methods: The study targeted papers with English abstracts among 373 articles published in KJWHN from January 2011 to December 2021. Text network analysis and topic modeling were employed, and the analysis consisted of five steps: (1) data collection, (2) word extraction and refinement, (3) extraction of keywords and creation of networks, (4) network centrality analysis and key topic selection, and (5) topic modeling. Results: Six major keywords, each corresponding to a topic, were extracted through topic modeling analysis: “gynecologic neoplasms,” “menopausal health,” “health behavior,” “infertility,” “women’s health in transition,” and “nursing education for women.” Conclusion: The latent topics from the target studies primarily focused on the health of women across all age groups. Research related to women’s health is evolving with changing times and warrants further progress in the future. Future research on women’s health nursing should explore various topics that reflect changes in social trends, and research methods should be diversified accordingly.
Abstract
Purpose: Topic modeling is a text mining technique that extracts concepts from textual data and uncovers semantic structures and potential knowledge frameworks within context. This study aimed to identify major keywords and network structures for each major topic to discern research trends in women’s health nursing published in the Korean Journal of Women Health Nursing (KJWHN) using text network analysis and topic modeling. Methods: The study targeted papers with English abstracts among 373 articles published in KJWHN from January 2011 to December 2021. Text network analysis and topic modeling were employed, and the analysis consisted of five steps: (1) data collection, (2) word extraction and refinement, (3) extraction of keywords and creation of networks, (4) network centrality analysis and key topic selection, and (5) topic modeling. Results: Six major keywords, each corresponding to a topic, were extracted through topic modeling analysis: “gynecologic neoplasms,” “menopausal health,” “health behavior,” “infertility,” “women’s health in transition,” and “nursing education for women.” Conclusion: The latent topics from the target studies primarily focused on the health of women across all age groups. Research related to women’s health is evolving with changing times and warrants further progress in the future. Future research on women’s health nursing should explore various topics that reflect changes in social trends, and research methods should be diversified accordingly.
참고문헌 (23)
- 전은미, "토픽모델링을 이용한 최근 10년간 여성건강간호학회지 연구동향분석", Journal of The Korean Data Analysis Society, 23(4), pp.1855~1864 (2021), 한국자료분석학회[DOI]
- 윤은경, "의료인류학의 연구동향과 전망: 개념의 전개와 의료사와의 접점을 중심으로", 의사학, 29(3), pp.903~958 (2020), 대한의사학회
- Ma L, "Female labour force participation and second birth rates in South Korea", J Popul Res, 33(2), pp.173~195 (2016)[DOI]
- 이성용, "교육수준에 따른 비혼구성비 추세 분석: 서울시 강남과 비강남 비교연구", 사회과학연구, 25(1), pp.15~34 (2014), 사회과학연구소
- 박진희, "한국어판 폐경 특이형 삶의 질 측정도구의 신뢰도와 타당도 검증", Journal of Korean Academy of Nursing, 50(3), pp.487~500 (2020), 한국간호과학회[DOI]
- 박진희, "암생존자 삶의 질 영향요인에 대한 연구동향: 텍스트 네트워크 분석과 토픽모델링", Asian Oncology Nursing, 21(4), pp.231~240 (2021), 대한종양간호학회
- Kim K, "Identification of the knowledge structure of cancer survivors’ return to work and quality of life : a text network analysis", Int J Environ Res Public Health, 17(24), pp.9368~ (2020)[DOI]
- 이수상, "언어 네트워크 분석 방법을 활용한 학술논문의 내용분석", 정보관리학회지, 31(4), pp.49~68 (2014), 한국정보관리학회[DOI]
- Song M, "Text mining", pp.127~ (2017), Chungram Books
- Baek YM, "Text-mining using R", pp.53~ (2017), Hanul Academy Publishers
- 이도영, "텍스트네트워크분석과 토픽모델링을 활용한 국내 중년여성 건강 관련 연구 동향 분석", 문화기술의 융합, 8(4), pp.163~171 (2022), 국제문화기술진흥원
- 김성묵, "텍스트 마이닝을 이용한 리빙랩 연구동향 분석", 디지털융복합연구, 18(8), pp.37~48 (2020), 한국디지털정책학회[DOI]
- 황서이, "국내 언론에 나타난‘스마트시티’이슈의 의미연결망분석", 디지털콘텐츠학회논문지, 21(5), pp.941~950 (2020), 한국디지털콘텐츠학회[DOI]
- 김준환, "워드 클라우드 기법을 이용한 국내 융복합 학술연구 트렌드 분석", 디지털융복합연구, 19(2), pp.33~38 (2021), 한국디지털정책학회[DOI]
- 이영진, "최근 4년간 여성건강간호학회지에 게재된 여성건강 관련 연구의 동향(2013~2017년)", 여성건강간호학회지, 24(1), pp.90~103 (2018), 한국여성건강간호학회[DOI]
- 정여원, "지역사회 중년 및 고령여성의 건강문제와 대처경험: 포커스 그룹 인터뷰를 중심으로", 지역사회간호학회지, 31(2), pp.119~129 (2020), 한국지역사회간호학회
- "Cancer incidence" (2020)[URL]
- 장혜경, "중년의 건강관련 삶의 질에 영향을 미치는 요인", 성인간호학회지, 24(4), pp.339~347 (2012), 한국성인간호학회
- "2022 Birth statistics (confirmation)" (2022)[URL]
- 정유정, "보조생식술 받은 여성의 난임 관련 삶의 질에 미치는 영향 요인: 우울과 극복력 중심으로", 여성건강간호학회지, 23(2), pp.117~125 (2017), 한국여성건강간호학회
- 김미옥, "National policies for infertility support and nursing strategies for patients affected by infertility in South Korea", 여성건강간호학회지, 27(1), pp.1~5 (2021), 한국여성건강간호학회[DOI]
- Meleis AI, "Experiencing transitions : an emerging middle-range theory", ANS Adv Nurs Sci, 23(1), pp.12~28 (2000)[DOI]
- 전나미, "간호대학생의 분만실 임상실습 질 향상 방안", 한국콘텐츠학회 논문지, 16(7), pp.513~521 (2016), 한국콘텐츠학회[DOI]