The Journal of Korean Academic Society of Nursing Education (한국간호교육학회지)

The Korean Academic Society of Nursing Education (한국간호교육학회)
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A study on research trends for gestational diabetes mellitus and breastfeeding: Focusing on text network analysis and topic modeling

임신성 당뇨와 모유수유에 대한 연구 동향 분석: 텍스트네트워크 분석과 토픽모델링 중심

  • Received : 2021.05.07
  • Accepted : 2021.05.18
  • Published : 2021.05.31
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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'. 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.

Keywords

Acknowledgement

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2019R1I1A3A01059963).

References

  1. Statistics Korea. 2019 life tables for Korea [Internet]. Seoul: Statistics Korea; 2020 [cited 2020 August 26]. Available from: http://kostat.go.kr/assist/synap/preview/skin/doc.html?fn=synapview384631_4&rs=/assist/synap/preview
  2. International Diabetes Federation. IDF DIABETES ATLAS Ninth edition 2019 [Internet]. Brussels: International Diabetes Federation; 2019 [cited 2020 June 1]. Available from: https://diabetesatlas.org/upload/resources/material/20200302_133351_IDFATLAS9e-final-web.pdf
  3. Much D, Beyerlein A, Rossbauer M, Hummel S, Ziegler A. Beneficial effects of breastfeeding in women with gestational diabetes mellitus. Molecular Metabolism. 2014;3(3):284-292. https://doi.org/10.1016/j.molmet.2014.01.002
  4. Pedersen J. Weight and length at birth of infants of diabetic mothers. European Journal of Endocrinology. 1954;16(4): 330-342. https://doi.org/10.1530/acta.0.0160330
  5. Barker DJ, Osmond C. Infant mortality, childhood nutrition, and ischemic heart disease in England and Wales. Lancet. 1986;327(8489):1077-1081. https://doi.org/10.1016/S0140-6736(86)91340-1
  6. Kim HR. Breastfeeding trends, affecting factors and policy options for breastfeeding promotion in Korea. Health and Welfare Policy Forum. 2013;201:49-60.
  7. Young M, Wolfheim C, Marsh DR, Hammamy D. World Health Organization/United Nations Children's Fund joint statement on integrated community case management: an equity-focused strategy to improve access to essential treatment services for children. American Journal of Tropical Medicine & Hygiene. 2012;87(5 Suppl):6-10. https://doi.org/10.4269/ajtmh.2012.12-0221
  8. Ha BM, Kim SH. Exclusive breastfeeding rates and it's influencing factors by the 1st and 6th month of postpartum. The Journal of the Korea Contents Association. 2018;18(5):230-240. https://doi.org/10.5392/JKCA.2018.18.05.230
  9. Stuebe AM, Bonuck K, Adatorwovor R, Schwartz TA, Berry DC. A cluster randomized trial of tailored breastfeeding support for women with gestational diabetes. Breastfeeding Medicine. 2016;11(10):504-513. https://doi.org/10.1089/bfm.2016.0069
  10. Horta BL, de Lima NP. Breastfeeding and type 2 diabetes: systematic review and meta-analysis. Current Diabetes Reports. 2019;19(1):1-6. https://doi.org/10.1007/s11892-019-1121-x
  11. Nguyen PTH, Pham NM, Chu KT, Van Duong D, Van Do D. Gestational diabetes and breastfeeding outcomes: a systematic review. Asia Pacific Journal of Public Health. 2019;31(3):183-198. https://doi.org/10.1177/1010539519833497
  12. Park SM, Min DL, Park JY. The influence of knowledge and health beliefs about gestational diabetes on breastfeeding intention of women with gestational diabetes. Journal of Korean Academy of Community Health Nursing. 2020;31(4):427-435. http://doi.org/10.12799/jkachn.2020.31.4.427
  13. Aggarwal CC. An introduction to social network data analytics. In: Aggarwal CC, editor. Social network data analytics. Boston: Springer; 2011. p. 1-15. https://doi.org/10.1007/978-1-4419-8462-3_1
  14. Greene D, O'Callaghan D, Cunningham P. How many topics? stability analysis for topic models. In: Calders T, Esposito F, Hullermeier E, Meo R, editors. Machine learning and knowledge discovery in databases. Berlin, Heidelberg: Springer; 2014. p. 498-513. https://doi.org/10.1007/978-3-662-44848-9_32
  15. 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. https://doi.org/10.3743/KOSIM.2014.31.4.049
  16. 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
  17. Lee SS. A study on the application of topic modeling for the book report text. Journal of Korean Library and Information Science Society. 2016;47(4):1-18. https://doi.org/10.16981/kliss.47.4.201612.1
  18. 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
  19. Silva MDB, Oliveira RVC, Braga JU, Almeida JAG, Melo ECP. Breastfeeding patterns in cohort infants at a high-risk fetal, neonatal and child referral center in Brazil: a correspondence analysis. BMC Pediatrics. 2020;20:372-384. https://doi.org/10.1186/s12887-020-02272-w
  20. Rosenbauer J, Herzig P, Giani G. Early infant feeding and risk of type 1 diabetes mellitus-a nationwide population-based case-control study in pre-school children. Diabetes/Metabolism Research and Reviews. 2008;24(3):211-222. https://doi.org/10.1002/dmrr.791
  21. Bernstein JA, McCloskey L, Gebel CM, Iverson RE, Lee-Parritz A. Lost opportunities to prevent early onset type 2 diabetes mellitus after a pregnancy complicated by gestational diabetes. BMJ Open Diabetes Research and Care. 2016;4(1):e000250. http://doi.org/10.1136/bmjdrc-2016-000250
  22. Halipchuk J, Temple B, Dart A, Martin D, Sellers EA. Prenatal, obstetric and perinatal factors associated with the development of childhood-onset type 2 diabetes. Canadian Journal of Diabetes. 2018;42(1):71-77. https://doi.org/10.1016/j.jcjd.2017.04.003
  23. Abuelezam NN, Cuevas AG, Galea S, Hawkins SS. Maternal health behaviors and infant health outcomes among Arab American and non-Hispanic white mothers in Massachusetts, 2012-2016. Public Health Reports. 2020;135(5):658-667. http://doi.org/10.1177/0033354920941146
  24. Hui LL, Li AM, Nelson EAS, Leung GM, Lee SL, Schooling CM. In utero exposure to gestational diabetes and adiposity: does breastfeeding make a difference. International Journal of Obesity. 2018;42(7):1317-1325. https://doi.org/10.1038/s41366-018-0077-2
  25. Cuneyt A, Sabri C, Kerem U, Gorsel S, Teslime A, Gokhan T. Maternal gestational diabetes and early childhood obesity: a retrospective cohort study. Childhood Obesity. 2020;16(8):579-585. http://doi.org/10.1089/chi.2020.0183
  26. Zhao P, Liu E, Qiao Y, Peter TK, Jean-Philippe C, Mikael F, et al. Maternal gestational diabetes and childhood obesity at age 9-11: results of a multinational study. Diabetologia. 2016;59:2339-2348. https://doi.org/10.1007/s00125-016-4062-9
  27. Lee KA. Management of type 2 diabetes mellitus in adolescents and young adults. Journal of Korean Diabetes. 2020;21(1):6-10. https://doi.org/10.4093/jkd.2020.21.1.6
  28. Bider-Canfield Z, Martinez MP, Wang X, Yu W, Bautista MP, Brookey J, et al. Maternal obesity, gestational diabetes, breastfeeding and childhood overweight at age 2 years. Pediatric Obesity. 2017;12:171-178. https://doi.org/10.1111/ijpo.12125
  29. Korean Diabetes Association. Treatment guideline for diabetes 2019 [Internet]. Seoul: Korean Diabetes Association; 2019 [cited 2019 June 21]. Available from: https://www.diabetes.or.kr/pro/publish/guide.php?code=guide&year_v=2019&mode=view&number=735
  30. Nielsen KK, Dahl-Petersen IK, Jensen DM, Overson P, Damm P, Jensen NH, et al. Protocol for a randomized controlled trial of a co-produced, complex, health promotion intervention for women with prior gestational diabetes and their families: the Face-it study. Trials. 2020;21(146):1-12. https://doi.org/10.1186/s13063-020-4062-4

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