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당뇨병 모바일 앱 관련 연구동향: 텍스트 네트워크 분석 및 토픽 모델링
Research Trend on Diabetes Mobile Applications: Text Network Analysis and Topic Modeling 원문보기

Journal of Korean biological nursing science, v.23 no.3, 2021년, pp.170 - 179  

박승미 (충북대학교 간호학과) ,  곽은주 (충북대학교 간호학과) ,  김영지 (공주대학교 간호학과)

Abstract AI-Helper 아이콘AI-Helper

Purpose: The aim of this study was to identify core keywords and topic groups in the 'Diabetes mellitus and mobile applications' field of research for better understanding research trends in the past 20 years. Methods: This study was a text-mining and topic modeling study including four steps such a...

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참고문헌 (35)

  1. Jung CH, Son JW, Kang S, Kim WJ, Kim HS, Kim HS, et al. Diabetes fact sheets in korea, 2020: an appraisal of current status. Diabetes & Metabolism Journal. 2021;45(1):1-10. https://doi.org/10.4093/dmj.2020.0254 

  2. Park JW. Fundamental principles for diabetes mellitus management. Weekly Health and Illness.2019;12(36):1359-1363. 

  3. Korean Diabetes association. Treatment guidelines for diabetes. 6th edition. Seoul: Korean Diabetes Association; 2019: 25-49. 

  4. Lee BK. The key to opening the smart healthcare market, mobile medical de vices. The Optical Journal. 2015;156:41-51. 

  5. Hunt CW. Technology and diabetes self-management: an integrative review. World Journal of Diabetes. 2015;6(2):225-233. https://doi.org/10.4239%2Fwjd.v6.i2.225 

  6. Shan R, Sarkar S, Martin SS. Digital health technology and mobile devices for the management of diabetes mellitus: state of the art. Diabetologia. 2019;62(6):877-887. https://doi.org/10.1007/s00125-019-4864-7 

  7. Kim HU, Kim EJ, Kim KE. The effects of diabetes management programs using mobile app: a systematic review and a meta-analysis. Journal of the Korea Contents Association. 2015;15(1):300-307. https://doi.org/10.5392/JKCA.2015.15.01.300 

  8. Adu MD, Malabu UH, Malau-Aduli AE, Malau-Aduli BS. The development of my care hub mobile-phone app to support self-management in australians with type 1 or type 2 diabetes. Scientific reports. 2020;10(1), 1-10. https://doi.org/10.1038/s41598-019-56411-0 

  9. Kirwan M, Vandelanotte C, Fenning A, Duncan M. Diabetes self-management smartphone application for adults with type 1 diabetes: randomized controlled trial. Journal Medical Internet Reserch. 2013;15(11):e235. https://doi.org/10.2196/jmir.2588 

  10. Fijacko N, Brzan PP, Stiglic G. Mobile applications for type 2 diabetes risk estimation: a systematic review. Journal of Medical Systems. 2015;39(10):124. http://doi.org/10.1007/s10916-015-0319-y 

  11. Ye Q, Boren SA, Khan U, Kim MS. Evaluation of functionality and usability on diabetes mobile applications: a systematic literature review. In: Vincent G. Duffy, editor. Applications in health, safety, ergonomics, and risk management: health and safety. Digital human modeling. 8th. Vancouver, BC, Canada: Lecture Notes in Computer Science; 2017. p.108-116. https://doi.org/10.1007/978-3-319-58466-9_11 

  12. Wang X, Shu W, Du J, Du M, Wang P, Xue M, et al. Mobile health in the management of type 1 diabetes: a systematic review and meta-analysis. BMC Endocrine Disorders. 2019;19(1):21. https://doi.org/10.1186/s12902-019-0347-6 

  13. Park CS. Using text network analysis for analyzing academic papers in nursing. Perspectives in Nursing Science. 2019;16(1):12-24. https://doi.org/10.16952/pns.2019.16.1.12 

  14. Lee SS. A content analysis of journal articles using the language network analysis methods. Journal of the Korean Society for Information Management. 2014;31(4):49-68. http://doi.org/10.3743/KOSIM.2014.31.4.049 

  15. Lee SK, Jeong S, Kim HG, Yom YH. A social network analysis of research topics in Korean nursing science. Journal of Korean Academy of Nursing. 2011;41(5):623-632. https://doi.org/10.4040/jkan.2011.41.5.623 

  16. Aggarwal CC. An introduction to social network data analytics. In: Aggarwal CC, editor. Social network data analytics. Boston, MA: Springer; 2011. p. 1-15. https://doi.org/10.1007/978-1-4419-8462-3_1 

  17. Lee J, Kim Y, Kwak E, Park S. A study on research trends for gestational diabetes mellitus and breastfeeding: focusing on text network analysis and topic modeling. The Journal of Korean Academic Society of Nursing Education. 2021;27(2):175-185. https://doi.org/10.5977/jkasne.2021.27.2.175 

  18. Park EJ, Kim YJ, Park CS. A comparison of hospice care research topics between Korea and other countries using text network analysis. Journal of Korean Academy of Nursing. 2017;47(5):600-612. https://doi.org/10.4040/jkan.2017.47.5.600 

  19. Griffiths TL, Steyvers M. Finding scientific topics. Proceedings of the National Academy of Science. 2004;101(Suppl 1):5228-5235. https://doi.org/10.1073/pnas.0307752101 

  20. Niwattanakul S, Singthongchai J, Naenudorn E, Wanapu S. Using of Jaccard coefficient for keywords similarity. In Proceedings of the international multiconference of engineers and computer scientists. 2013;6(1):380-384. 

  21. Seo Y, Kim K, Kim JS. Trends of nursing research on accidental falls: a topic modeling analysis. International Journal of Environmental Research and Public Health. 2021;18(8):3963. https://doi.org/10.3390/ijerph18083963 

  22. Jeddi FR, Nabovati E, Hamidi R, Sharif R. Mobile phone usage in patients with type II diabetes and their intention to use it for self-management: a cross-sectional study in Iran. BMC Medical Informatics and Decision Making. 2020;20(1):1-8. https://doi.org/10.21203/rs.2.13951/v3 

  23. Hartz J, Yingling L, Powell-Wiley TM. Use of mobile health technology in the prevention and management of diabetes mellitus. Current Cardiology Reports. 2016;18(12):1-11. https://doi.org/10.1007/s11886-016-0796-8 

  24. Chopoghlo SB, Hosseinkhani A, Khedmat L, Zaki-Nejad M, Puryaghoob M. The self-efficacy improvement in adolescent girls with type 1 diabetes mellitus with self-care education through mobile-based social networking. International Journal of Diabetes in Developing Countries. 2021;1-7. https://doi.org/10.1007/s13410-021-00929-5 

  25. Priscilla S, Nanditha A, Simon M, Satheesh K, Kumar S, Shetty AS, et al. A pragmatic and scalable strategy using mobile technology to promote sustained lifestyle changes to prevent type 2 diabetes in India-Outcome of screening. Diabetes Research and Clinical Practice. 2015;110(3):335-340. https://doi.org/10.1016/j.diabres.2015.09.004 

  26. Dabelea D, Mayer-Davis EJ, Saydah S, Imperatore G, Linder B, Divers J, et al. Prevalence of type 1 and type 2 diabetes among children and adolescents from 2001 to 2009. Journal of American Medical Association. 2014;311(17):1778-1786. https://doi.org/10.1001/jama.2014.3201 

  27. Lee MK, Lee DY, Ahn HY, Park CY. A novel user utility score for diabetes management using tailored mobile coaching: secondary analysis of a randomized controlled trial. Journal of Medical Internet Research Mhealth Uhealth. 2021;9(2):e17573. https://preprints.jmir.org/preprint/17573 

  28. Fu H, McMahon SK, Gross CR, Adam TJ, Wyman JF. Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: a systematic review. Diabetes Research and Clinical Practice. 2017;131:70-81. https://doi.org/10.1016/j.diabres.2017.06.016 

  29. Goyal S, Morita P, Lewis GF, Yu C, Seto E, Cafazzo JA. The systematic design of a behavioural mobile health application for the self-management of type 2 diabetes. Canadian Journal of Diabetes. 2016;40(1):95-104. https://doi.org/10.1016/j.jcjd.2015.06.007 

  30. GBD 2017 Risk factor collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1923-1994. https://doi.org/ 10.1016/S0140-6736(18)32225-6 

  31. World Health Organization. Global action plan for the prevention and control of noncommunicable diseases 2013-2020. World Health Organization; 2013. [cited 2021 June 16]. Available from: https://apps.who.int/iris/bitstream/handle/10665/94384/9789241506236_eng.pdfjsessionid75D5722BE3A73FAE254F414C58825563?sequence1 

  32. Nundy S, Dick JJ, Chou CH, Nocon RS, Chin MH, Peek ME. Mobile phone diabetes project led to improved glycemic control and net savings for Chicago plan participants. Health Affairs. 2014;33(2):265-272. https://doi.org/10.1377/hlthaff.2013.0589 

  33. Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. American Diabetes Association Diabetes Care. 2020;43(1):250-260. https://doi.org/10.2337/dci19-0062 

  34. Hou C, Xu Q, Diao S, Hewitt J, Li J, Carter B. Mobile phone applications and self-management of diabetes: A systematic review with meta-analysis, meta-regression of 21 randomized trials and GRADE. Diabetes, Obesity and Metabolism. 2018;20(8):2009-2013. https://doi.org/10.1111/dom.13307 

  35. Goodarzi M, Ebrahimzadeh I, Rabi A, Saedipoor B, Jafarabadi MA. Impact of distance education via mobile phone text messaging on knowledge, attitude, practice and self efficacy of patients with type 2 diabetes mellitus in Iran. Journal of Diabetes & Metabolic Disorders. 2012;11(1):10. https://doi.org/10.1186/2251-6581-11-10 

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