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Analysis of Factors Influencing Obesity Treatment according to Initial Condition and Compliance with Medication

초기 조건과 복약 순응도에 따른 비만 치료 영향 인자 분석

  • Han, Ji-Yeon (Department of Diagnostics & Biofunctional Medicine, College of Korean Medicine, Kyung Hee University) ;
  • Park, Young-Jae (Department of Diagnostics & Biofunctional Medicine, College of Korean Medicine, Kyung Hee University)
  • 한지연 (경희대학교 한의과대학 진단생기능의학과학교실) ;
  • 박영재 (경희대학교 한의과대학 진단생기능의학과학교실)
  • Received : 2019.05.31
  • Accepted : 2019.06.07
  • Published : 2019.06.30

Abstract

Objectives: The purpose of this study was to investigate the effects of gender, age, body weight, muscle mass, fat mass, body mass index (BMI), metabolism, and compliance with medication on weight loss in obese adults. Methods: We reviewed the medical records of 178 patients who were visited to the Korean Oriental Clinic for 3~6 month and had obesity treatment using Gamitaeumjowee-tang from April 2017 to May 2017. We conducted a paired T-test, correlation coefficient and decision tree to analyze factors influencing obesity treatment. Results: The results of correlation analysis showed that initial weight (kg), initial fat mass (kg), BMI ($kg/m^2$), compliance with medication (%), Original Harris-Benedict Equation, Revised Harris-Benedict Equation and The Mifflin St Jeor Equation was significantly correlated to weight loss (kg) (P<0.001). As a result of constructing the decision tree model, it showed that over 5% weight loss of their initial weight (n=154) was related with initial BMI ($kg/m^2$), compliance with medication (%) and initial muscle mass (kg). In case of over 5 kg weight loss of their initial weight (n=131), it was related with initial BMI ($kg/m^2$), compliance with medication (%) and final BMI ($kg/m^2$). Conclusions: This study suggests that weight loss may be affected by initial factors and that initial factors can be used for obesity treatment.

Keywords

References

  1. The Society of Korean Medicine Rehabilitation. Oriental rehabilitation medicine. 3rd ed. Seoul : Koonja. 2011 : 350.
  2. KOSIS (Statistics Korea, national nutrition survey). Obesity prevalence trend [Internet]. Seoul: KOSIS; 2017 [cited May 7, 2019]. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=117&tblId=DT_11702_N101&conn_path=I2.
  3. Organization for Economic Co-operation and Development. OECD obesity update [Internet]. 2017 [cited May 7, 20 19] Available from: URL: https://www.oecd.org/els/health-systems/Obesity-Update-2017.pdf.
  4. World Health Organization. Obesity: preventing and mana ging the global epidemic. Report of a WHO Consultation (WHO Technical Report Series 894) [Internet]. Geneva: World Health Organization; 2000 [cited Mar 12, 2019]. Available from: http://www.who.int/nutrition/publications/obesity/.
  5. Kang EY, Park YB, Kim MY, Park YJ. A study on factors associated with weight loss by 'Gamitaeeumjowee-tang'. Journal of Korean Medicine for Obesity Research. 2017 ; 17(2) : 68-76. https://doi.org/10.15429/jkomor.2017.17.2.68
  6. Nam SH, Kim SY, Lim YW, Park YB. Review on predictors of weight loss in obesity treatment. Journal of Korean Medicine for Obesity Research. 2018 ; 18(2) : 115-27. https://doi.org/10.15429/jkomor.2018.18.2.115
  7. Nicklas JM, Huskey KW, Davis RB, Wee CC. Successful weight loss among obese U.S. adults. American Journal of Preventive Medicine. 2012 ; 42(5) : 481-5. https://doi.org/10.1016/j.amepre.2012.01.005
  8. Jo SI, Lee JK, Shin JY. Factors related to failure in weight reduction or maintenance in Korean adults. Korean Journal of Family Practice. 2017 ; 7(1) : 72-9. https://doi.org/10.21215/kjfp.2017.7.1.72
  9. Jung, HG, Jeong HS. Factors related to successful weight reduction among subjects who tried to reduce their weight for 1 year: data from the 2015 Korea National Health and Nutrition Examination Survey. Journal of Health Informatics and Statistics. 2017 ; 42(4) : 355-60. https://doi.org/10.21032/jhis.2017.42.4.355
  10. Jeong JW, Cho SW. Trend research of the human bodyoriented obesity studies on Korean Medicine. J Korean Med Rehab. 2016 ; 26(1) : 49-61. https://doi.org/10.18325/jkmr.2016.26.1.49
  11. Park TY, Shin BC, Kong JC, Song MY, Kim EK, Seo EA, et al. Study on anti-obesity effect of Chegameuiin-tang. Journal of Physiology & Pathology in Korean Medicine. 2008 ; 22(3) : 642-8.
  12. Lee JE, Song YK, Lim HH. Randomized, double blind, placebo-controlled study of Bofu-tsusho-san on obese patients. Journal of Korean Medicine for Obesity Research. 2010 ; 10(1) : 1-6.
  13. Han K, Lee MJ, Kim H. Systematic review on herbal treatment for obesity in adults. Journal of Korean Medicine Rehabilitation. 2016 ; 26(4) : 23-35. https://doi.org/10.18325/jkmr.2016.26.4.23
  14. Lee JM. Longevity and life preservation in Eastern medicine. 2nd ed. Seoul : Hanglimsa. 1993 : 19-24, 137-41.
  15. Lee JE, Song YK, Lim HH. Clinical trial of Taeeumjowui-tang (Taiyintiaowei-tang) on obese patients: randomized, double blind, placebo-controlled study. J Oriental Rehab Med. 2010 ; 20(4) : 197-213.
  16. Harris JA, Benedict FG. A biometric study of human basal metabolism. Proceedings of the National Academy of Sciences of the United States of America. 1918 ; 4(12) : 370-3. https://doi.org/10.1073/pnas.4.12.370
  17. Roza AM, Shizgal HM. The Harris Benedict equation reevaluated: resting energy requirements and the body cell mass. The American journal of clinical nutrition. 1984 ; 40(1) : 168-82. https://doi.org/10.1093/ajcn/40.1.168
  18. Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. The American Journal of Clinical Nutrition. 1990 ; 51(2) : 241-7. https://doi.org/10.1093/ajcn/51.2.241
  19. Cunningham JJ. Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation. The American Journal of Clinical Nutrition. 1991 ; 54(6) : 963-9. https://doi.org/10.1093/ajcn/54.6.963
  20. Park HC, Cho KW. Social indicator survey data analysis using decision tree. The Journal of Korean Data Analysis Society. 2005 ; 7 : 773-83.
  21. Korean Society for The Study of Obesity. 2018 clinical guideline for obesity. Seoul : Korean Society for The Study of Obesity Committee of Clinical Guideline. 2018 : 47-53.
  22. National Heart, Lung, and Blood Institute in Cooperation with The National Institute of Diabetes and Digestive and Kidney Diseases. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. The American Journal of Clinical Nutrition. 1998 ; 68(4) : 899-917. https://doi.org/10.1093/ajcn/68.4.899
  23. Park HS, Kim KS, Kim BT, Lee KW, Ahn CW, Choi WH. Double-blind, randomized, multi-center, comparative clinical trial of Sibutramine Mesilate with Sibutramine hydrochloride for evaluating efficacy and safety in obese patients. Korean J Obes. 2008 ; 17(2) : 82-90.
  24. Park CY, Kim YS, Ryu MS, Nam SY, Park HS, Kim SM. A phase 3 double-blind, parallel-group, placebo-controlled trail of the efficacy and safety of sibutramine (Reductil) in the treatment of obese patients. Korean J Obes. 2001 ; 10(4) : 336-47.
  25. Na Y, Park SG. Understanding statistical research @ethodology. 1st ed. Seoul : Shinyoungsa. 2009 : 209-10.
  26. Jung YJ, Kim YJ. Relationship between energy consumption and operational variables at wastewater treatment plant. Journal of Korean Society on Water Environment. 2016 ; 32(3) : 253-60. https://doi.org/10.15681/KSWE.2016.32.3.253
  27. Sotiris K. Decision trees: a recent overview. Artificial Intelligence Review. 2013 ; 39(4) : 261-83. https://doi.org/10.1007/s10462-011-9272-4
  28. Dhurandhar NV, Blank RC, Schumacher D, Atkinson RL. Initial weight loss as a predictor of response to obesity drugs. International Journal of Obesity. 1999 ; 23(12) : 1333-6. https://doi.org/10.1038/sj.ijo.0801111
  29. Handjieva-Darlenska T, Handjiev S, Larsen TM, van Baak MA, Jebb S, Papadaki A, et al. Initial weight loss on an 800-kcal diet as a predictor of weight loss success after 8 weeks: the Diogenes study. Eur J Clin Nutr. 2010 ; 64(9) : 994-9. https://doi.org/10.1038/ejcn.2010.110
  30. Kim SY, Park YJ, Park YB. Review on predictors of dropout and weight loss maintenance in weight loss interventions. J Korean Med. 2016 ; 39(3) : 62-73.
  31. Mauro M, Taylor V, Wharton S, Sharma AM. Barriers to obesity treatment. European Journal of Internal Medicine. 2008 ; 19(3) : 173-80. https://doi.org/10.1016/j.ejim.2007.09.011
  32. Morrison DS, Boyle S, Morrison C, Allardice G, Greenlaw N, Forde L. Evaluation of the first phase of a specialist weight management programme in the UK National Health Service: prospective cohort study. Public Health Nutrition. 2012 ; 15(1) : 28-38. https://doi.org/10.1017/S1368980011001625

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