DOI QR코드

DOI QR Code

A Study on Factors Associated with Weight Loss by 'Gamitaeeumjowee-Tang'

가미태음조위탕의 체중감량 효과에 영향을 미치는 요인 연구

  • Kang, Eun-Yeong (Department of Human Informatics of Korean Medicine, Graduate School, Kyung-Hee University) ;
  • Park, Young-Bae (Department of Human Informatics of Korean Medicine, Graduate School, Kyung-Hee University) ;
  • Kim, Min-Yong (Department of Human Informatics of Korean Medicine, Graduate School, Kyung-Hee University) ;
  • Park, Young-Jae (Department of Human Informatics of Korean Medicine, Graduate School, Kyung-Hee University)
  • 강은영 (경희대학교 대학원 한방인체정보의학과) ;
  • 박영배 (경희대학교 대학원 한방인체정보의학과) ;
  • 김민용 (경희대학교 대학원 한방인체정보의학과) ;
  • 박영재 (경희대학교 대학원 한방인체정보의학과)
  • Received : 2017.10.27
  • Accepted : 2017.12.13
  • Published : 2017.12.30

Abstract

Objectives: The purpose of this study was to analyze the factors affecting weight loss effect of Gamitaeumjowee-tang and to see if weight loss could be predicted using influence factors and weight loss progress. Methods: From September 2016 to March 2017, we retrospectively reviewed the medical records of 139 patients who were visited to the Korean Oriental Clinic for 3 months. We conducted a regression analysis to determine whether age, gender, initial weight, patient health questionnaire-9, heart rate variability (HRV), sleep quality, drinking habit and the medication history of weight loss affect weight loss. We found weight loss prediction equations using multiple regression analysis applying significant factors and weight loss progress. Results: Gender and initial weight had a significant effect on weight loss in all periods (P<0.001). HRV had a significant effect on primary weight loss (P<0.01). Other factors did not have any significant effect on weight loss. Using the significant factors, weight loss of each period could be predicted from 23.9% to 44.6%, and tertiary weight loss could be predicted with 76.6% using factors, primary weight loss and secondary weight loss (P<0.001). Conclusions: This study suggests that weight loss effect of Gamitaeumjowee-tang maybe be affected by influence factors and that weight loss prediction equations using them can be used for obesity treatment.

Keywords

References

  1. Haidar YM, Cosman BC. Obesity epidemiology. Clin Colon Rectal Surg. 2011 ; 24(4) : 205-10. https://doi.org/10.1055/s-0031-1295684
  2. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2014: Korea National Health and Nutrition Examination Survey (KNHANES VI-2). Sejong, Cheongju : Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. 2014.
  3. Jeong JW, Cho SW. Trend research of the human body-oriented obesity studies on Korean Medicine. J Korean Med Rehab. 2016 ; 26(1) : 49-61. https://doi.org/10.18325/jkmr.2016.26.1.49
  4. Hwang MJ, Shin HD, Song MY. Literature review of herbal medicines on treatment of obesity since 2000-mainly about Ephedra Herba. J Soc Korean Med Obes Res. 2007 ; 7(1) : 39-54.
  5. Lee JM. Longevity and life preservation in Eastern medicine, Seoul : Haklimsa. 1986 : 333-8.
  6. Lim SY, Park SW, Joo JH, Kim SR, Kim DJ, Choi WS. The effects of Taeeumjowui-tang (Taiyintiaowei-tang) on obesity in Sasang constitution. J East-West Med. 2012 ; 37(4) : 109-16.
  7. Park KM, Song YK, Lim HH. Review on the research relative to taeeumjowui-Tang (Taiyintiaowei-tang). J Soc Korean Med Obes Res. 2009 ; 9(1) : 23-6.
  8. Lee JE, Song YK, Lim HH. Clinical trial of Taeeumjowui-tang (Taiyintiaowei-tang) on obese patients: randomized, double blind, placebo-controlled study. J Orient Rehab Med. 2010 ; 20(4) : 197-213.
  9. Park SJ, Nahmkoong W, Cheon CH, Park JS, Jang BH, Shin YC, et al. Efficacy and safety of Taeeumjowi-tang in obese Korean adults: a double-blind, randomized, and placebo-controlled pilot trial. Evid-Based Complement Altern Med. 2013 ; 2013 : 498935.
  10. Hansen D, Astrup A, Toubro S, Finer N, Kopelman P, Hilsted J, et al. Predictors of weight loss and maintenance during 2 years of treatment by sibutramine in obesity-results from the European multi-centre STORM trial. Int J Obes Relat Metab Disord. 2001 ; 25(4) : 496-501. https://doi.org/10.1038/sj.ijo.0801481
  11. Heo YS, Park JM, Kim YJ, Kim SM, Park DJ, Lee SK, et al. Bariatric surgery versus conventional therapy in obese Korea patients: a multicenter retrospective cohort study. J Korean Surg Soc. 2012 ; 83(6) : 335-42. https://doi.org/10.4174/jkss.2012.83.6.335
  12. Fabricatroe AN. Predictors of attrition and weight loss success: results from a randomized controlled trial. Behav Res Ther. 2009 ; 47(8) : 685-91. https://doi.org/10.1016/j.brat.2009.05.004
  13. Wright SM, Aronne LJ. Causes of obesity. Abdom Imaging. 2012 ; 37(5) : 730-2. https://doi.org/10.1007/s00261-012-9862-x
  14. 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.
  15. Dhurandhar NA, Blank RC, Schumacher D, Atkinson RL. Initial weight loss as a predictor of response to obesity drugs. Int J Obes Relat Metab Disord. 1999 ; 23(12) : 1333-6. https://doi.org/10.1038/sj.ijo.0801111
  16. 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
  17. 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.
  18. 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.
  19. Spitzer RL, Kroenke K, Williams JBW. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. JAMA. 1999 ; 282(18) : 1737-44. https://doi.org/10.1001/jama.282.18.1737
  20. Lim KH, Park YN, Kim DH, Shin IH, Lee WS, Kim JB. A preliminary study of the standardization of the Korean version of Patient Health Questionnaire-9. Korean J Helath Promot Dis Prev. 2009 ; 9(4) : 275-81.
  21. Department of Biofunctional Medicine&Dianostics in Colleges of Korean Medicine. Biofunctional medicine. Paju : Koonja. 2008 : 81-101.
  22. Sartorio A, Maffiuletti NA, Agosti F, Lafortuna CL, Genderrelated changes in body composition, muscle strength and power output after a short-term multidisciplinary weight loss intervention in morbid obesity. J Endocrinol Invest. 2005 ; 28(6) : 494-501. https://doi.org/10.1007/BF03347236
  23. Goode RW, Ye L, Sereika SM, Zheng Y, Mattos M, Acharya SD, et al. Socio-demographic, anthropometric and psychosocial predictors of attrition across behavioral weight loss trials. Sour Doc Eat Behav. 2016 ; 20 : 27-33. https://doi.org/10.1016/j.eatbeh.2015.11.009
  24. Jung HH, Choi YS, Kim SH, Sohn KJ, Kim DG, Hong JI, et al. Association between metabolic syndrome and heart rate variability. Korean J Obes. 2005 ; 14(4) : 220-7.
  25. Moroshko I, Brennan L, O'Brien P. Predictor of dropout in weight loss interventions a systematic review of the literature. Obes Rev. 2011 ; 12(11) : 912-34. https://doi.org/10.1111/j.1467-789X.2011.00915.x
  26. Coughlin JW, Smith MT. Sleep, obesity, and weight loss in adults: is there a rationale for providing sleep interventions in the treatment of obesity? Int Rev Psychiatry. 2014 ; 26(2) : 177-88. https://doi.org/10.3109/09540261.2014.911150
  27. Kase CA, Piers AD, Schuamberg K, Forman EM, Butryn ML. The relationship of alcohol use to weight loss in the context of behavioral weight loss treatment. Appetite. 2016 ; 99 : 105-11. https://doi.org/10.1016/j.appet.2016.01.014
  28. Alizai PH, Akkerman MK, Kaemmer D, Ulmer F, Klink CD, Ernst S, et al. Presurgical assessment of bariatric patients with the Patient Health Questionnaire (PHQ)-A screening of the prevalence of psychosocial comorbidity. Health Qual Life Outcome. 2015 ; 13(1) : 80-6. https://doi.org/10.1186/s12955-015-0278-5
  29. Ludman E, Simon G, Ichikawa L, Operskalski B, Arteburn D, Linde J, et al. Does depression reduce the effectiveness of behavioral weight loss treatment? Behav Med. 2009 ; 35(4) : 126-34. https://doi.org/10.1080/08964280903334527
  30. Latner JD, Ciao AC. Weight-loss history as a predictor of obesity treatment outcome: prospective, long-term results from behavioral, group self-help treatment. J Health Psychology. 2014 ; 19(2) : 253-61. https://doi.org/10.1177/1359105312468191
  31. Yackobovitch-Gavan M, Steinberg DM, Endevelt R, Benyamini Y. Factors associated with dropout in a group weight-loss programme: a longitudinal investigation. J Hum Nutr Diet. 2015 ; 28(2) : 33-40. https://doi.org/10.1111/jhn.12220

Cited by

  1. 비만 치료에 있어서 체중 감량에 영향을 주는 인자들에 대한 고찰 vol.18, pp.2, 2017, https://doi.org/10.15429/jkomor.2018.18.2.115
  2. 초기 조건과 복약 순응도에 따른 비만 치료 영향 인자 분석 vol.19, pp.1, 2017, https://doi.org/10.15429/jkomor.2019.19.1.31
  3. 한의 체중 조절 프로그램에 참여한 과체중, 비만 환자에서의 머신러닝 기법을 적용한 체중 감량 예측 연구 vol.41, pp.2, 2020, https://doi.org/10.13048/jkm.20015
  4. 가미 태음조위탕을 투여한 성인 비만 여성에서 수면과 체중감량과의 연관성 vol.41, pp.3, 2017, https://doi.org/10.13048/jkm.20023
  5. 최근 10년간 한방비만학회지의 연구동향 분석: 2010-2019년 한방비만학회지 게재논문을 중심으로 vol.20, pp.2, 2017, https://doi.org/10.15429/jkomor.2020.20.2.149
  6. Effects on Heart Rate Variability of Stress Level Responses to the Properties of Indoor Environmental Colors: A Preliminary Study vol.18, pp.17, 2017, https://doi.org/10.3390/ijerph18179136