암생존자 삶의 질 영향요인에 대한 연구동향: 텍스트 네트워크 분석과 토픽모델링

• Published in: Asian oncology nursing Vol. 21; no. 4; pp. 231 - 240
• Main Authors: 박진희(Park, Jin-Hee), 전미선(Chun, Mison), 배선형(Bae, Sun Hyoung), 김희준(Kim, Hee-Jun)
• Format: Journal Article
• Language: Korean
• Published: 대한종양간호학회 01.12.2021
• Subjects: 간호학; Cancer survivors; Topic modeling; 주제어 문헌고찰; Social network analysis; 인과관계; 암생존자; Causality; 삶의 질; Quality of life
• ISSN: 2287-2434; 2287-447X

Purpose: This study aimed to identify the major keywords and the structure of the networks for each major topic to gain knowledge on factors influencing the quality of life of cancer survivors using Text Network Analysis (TNA) and topic modeling. Methods: The study was conducted in four steps:(1) collecting abstracts, (2) text preprocessing in Python, (3) building a co-occurrence matrix, and (4) analyzing network features and clustering topic groups. From 2010 to 2020, 133 studies related to factors affecting the quality of life of cancer survivors were collected from several databases (PubMed, Embase, Cochrane, CINAHL RISS, KoreaMed, KISS). Results: As a result of analyzing 9,968 evaluation results on “breast cancer,” “female,” “depression,” “treatment,” “age,” “questionnaire,” “symptom,” and “diagnosis,” five topics were derived after topic modeling considering coherence score and perplexity score. The main themes were breast cancer survivor, symptom experience, colon cancer survivor, psycho-social factors, and lifestyle and health management. Conclusion: Based on the results of this study, symptoms such as depression, physical activity, and lifestyle and health management are significant factors affecting the quality of life of cancer survivors. KCI Citation Count: 0