한방비만학회지 (Journal of Korean Medicine for Obesity Research)

  • 제18권2호
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  • Pages.115-127
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  • 2018
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  • 1976-9334(pISSN)
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  • 2288-1522(eISSN)
한방비만학회 (The Society of Korean Medicine for obesity Research)
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비만 치료에 있어서 체중 감량에 영향을 주는 인자들에 대한 고찰

Review on Predictors of Weight Loss in Obesity Treatment

  • 투고 : 2018.08.17
  • 심사 : 2018.11.18
  • 발행 : 2018.12.30
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초록

Objectives: People often fail to reduce or maintain their weight despite trying to lose weight. The purpose of this study was to review previously published study results of the predictive factors associated with weight loss in obesity treatment. Methods: Authors searched for the articles related to weight loss, published from 2007 to 2017 found on PubMed, Scopus, Research Information Sharing Service (RISS), and Koreanstudies Information Service System (KISS). A total of 43 articles were finally selected. From the study results, unchangeable and changeable predictors were extracted, and these predictors were examined according to detailed categories. Results: Predictors of weight loss in obesity treatment included genetic and physiological factors, demographic factors, history of treatment on obesity related factors, behavioral factors, psychological factors and treatment process related factors. The main factors of weight loss were unchangeable predictors such as high initial degree of obesity and younger age, and changeable predictors such as dietary restraint, regular exercise, self-efficacy, initial weight loss and attendance. Especially dietary restraint, regular exercise, successful initial weight loss and high attendance were considered to be dominant factors for weight loss treatments. Conclusions: Our review results suggest that unchangeable and changeable predictors of weight loss should be carefully examined during treatments of obesity.

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참고문헌

  1. Organization for Economic Cooperation and Development (OECD). Obesity Update 2017 [Internet]. Paris (FR): OECD; 2017 [cited 2017 May 18]. Available from: https://www.oecd.org/els/health-systems/Obesity-Update-2017.pdf.
  2. National Health Insurance Service. 2017 Obesity white paper [Internet]. Wonju (KR): National Health Insurance Service; 2017 [cited 2017 Dec]. Available from: https://hi.nhis.or.kr/service_download.do?bm_idx=MM00000032&bd_idx=BD00006975&ba_idx=BA00001720.
  3. World Health Organization. Fact sheets-Obesity and overweight [Internet]. Geneva (CH): World Health Organization; 2018 [cited 2018 Feb 16]. Available from: http://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight.
  4. Padwal RS, Majumdar SR. Drug treatment of obesity: orlistat, sibutramine, and rimonabant. Lancet. 2007 ; 369(9555) : 71-7. https://doi.org/10.1016/S0140-6736(07)60033-6
  5. Jo SI, Lee JK, Shin JK. Factors related to failure in weight reduction or maintenance in Korean adults. Korean J Fam Pract. 2017 ; 7(1) : 72-9. https://doi.org/10.21215/kjfp.2017.7.1.72
  6. Kim SY, Park YJ, Park YB. Review on predictors of dropout and weight loss maintenance in weight loss interventions. J Korean Med. 2016 ; 37(3) : 62-73. https://doi.org/10.13048/jkm.16035
  7. Sjostrom L. Review of the key results from the Swedish Obese Subjects (SOS) trial - a prospective controlled intervention study of bariatric surgery. J Intern Med. 2013 ; 273(3) : 219-34. https://doi.org/10.1111/joim.12012
  8. Kim SY. General characteristics and psychological and environmental factors related to successful weight reduction programs in obese premenopausal women. J East Asian Soc Dietary Life. 2007 ; 17(5) : 634-43.
  9. Anton SD, Martin CK, Redman L, York-Crowe E, Heilbronn LK, Han H, et al. Psychosocial and behavioral pre-treatment predictors of weight loss outcomes. Eat Weight Disord. 2008 ; 13(1) : 30-7. https://doi.org/10.1007/BF03327782
  10. Bas M, Donmez S. Self-efficacy and restrained eating in relation to weight loss among overweight men and women in Turkey. Appetite. 2009 ; 52(1) : 209-16. https://doi.org/10.1016/j.appet.2008.09.017
  11. VanWormer JJ, Martinez AM, Martinson BC, Crain AL, Benson GA, Cosentino DL, et al. Self-weighing promotes weight loss for obese adults. Am J Prev Med. 2009 ; 36(1) : 70-3. https://doi.org/10.1016/j.amepre.2008.09.022
  12. Annesi JJ, Whitaker AC. Psychological factors associated with weight loss in obese and severely obese women in a behavioral physical activity intervention. Heal Educ Behav. 2010 ; 37(4) : 593-606. https://doi.org/10.1177/1090198109331671
  13. Annesi JJ, Whitaker AC. Psychological factors discriminating between successful and unsuccessful weight loss in a behavioral exercise and nutrition education treatment. Int J Behav Med. 2010 ; 17(3) : 168-75. https://doi.org/10.1007/s12529-009-9056-2
  14. 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
  15. Elfhag K, Rossner S. Initial weight loss is the best predictor for success in obesity treatment and sociodemographic liabilities increase risk for drop-out. Patient Educ Couns. 2010 ; 79(3) : 361-6. https://doi.org/10.1016/j.pec.2010.02.006
  16. Ovbiosa-Akinbosoye OE, Long DA. Factors associated with long-term weight loss and weight maintenance: analysis of a comprehensive workplace wellness program. J Occup Environ Med. 2011 ; 53(11) : 1236-42. https://doi.org/10.1097/JOM.0b013e31823401db
  17. Munro IA, Bore MR, Munro D, Garg ML. Using personality as a predictor of diet induced weight loss and weight management. Int J Behav Nutr Phys Act. 2011 ; 8(1) : 129. https://doi.org/10.1186/1479-5868-8-129
  18. Byrne S, Barry D, Petry NM. Predictors of weight loss success. Exercise vs. dietary self-efficacy and treatment attendance. Appetite. 2012 ; 58(2) : 695-8. https://doi.org/10.1016/j.appet.2012.01.005
  19. Neve MJ, Morgan PJ, Collins CE. Behavioural factors related with successful weight loss 15 months post-enrolment in a commercial web-based weight-loss programme. Public Health Nutr. 2012 ; 15(7) : 1299-1309. https://doi.org/10.1017/S1368980011003090
  20. Batra P, Das SK, Salinardi T, Robinson L, Saltzman E, Scott T, et al. Eating behaviors as predictors of weight loss in a 6 month weight loss intervention. Obesity. 2013 ; 21(11) : 2256-63. https://doi.org/10.1002/oby.20404
  21. Karlsen TI, Sohagen M, Hjelmesæth J. Predictors of weight loss after an intensive lifestyle intervention program in obese patients: a 1-year prospective cohort study. Health Qual Life Outcomes. 2013 ; 11(1) : 165. https://doi.org/10.1186/1477-7525-11-165
  22. 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 Psychol. 2014 ; 19(2) : 253-61. https://doi.org/10.1177/1359105312468191
  23. Annesi JJ, Johnson PH. Theory-based psychosocial factors that discriminate between weight-loss success and failure over 6 months in women with morbid obesity receiving behavioral treatments. Eat Weight Disord. 2015 ; 20(2) : 223-32. https://doi.org/10.1007/s40519-014-0159-7
  24. Hadziabdic MO, Mucalo I, Hrabac P, Matic T, Rahelic D, Bozikov V. Factors predictive of drop-out and weight loss success in weight management of obese patients. J Hum Nutr Diet. 2015 ; 28 Suppl 2 : 24-32. https://doi.org/10.1111/jhn.12270
  25. Jiandani D, Wharton S, Rotondi MA, Ardern CI, Kuk JL. Predictors of early attrition and successful weight loss in patients attending an obesity management program. BMC Obes. 2016 ; 3(1) : 14. https://doi.org/10.1186/s40608-016-0098-0
  26. Reed JR, Yates BC, Houfek J, Briner W, Schmid KK, Pullen CH. Motivational factors predict weight loss in rural adults. Public Health Nurs. 2016 ; 33(3) : 232-41. https://doi.org/10.1111/phn.12213
  27. Tigay JH, Thompson M, Sutton D, Lesley M. Motivation for weight loss. J Nurse Pract. 2016 ; 12(4) : e 169-73. https://doi.org/10.1016/j.nurpra.2015.10.017
  28. Batterham M, Tapsell L, Charlton K, O’Shea J, Thorne R. Using data mining to predict success in a weight loss trial. J Hum Nutr Diet. 2017 ; 30(4) : 471-8. https://doi.org/10.1111/jhn.12448
  29. Sylvester MD, Burgess EE, Soleymani T, Daniel S, Turan B, Ray MK, et al. Baseline motives for eating palatable food: racial differences and preliminary utility in predicting weight loss. Eat Weight Disord. 2017 Aug 24. doi: 10.1007/s40519-017-0426-5. [Epub ahead of print]
  30. Sallet PC, Sallet JA, Dixon JB, Collis E, Pisani CE, Levy A, et al. Eating behavior as a prognostic factor for weight loss after gastric bypass. Obes Surg. 2007 ; 17(4) : 445-51. https://doi.org/10.1007/s11695-007-9077-3
  31. Hatoum IJ, Stein HK, Merrifield BF, Kaplan LM. Capacity for physical activity predicts weight loss after roux-en-Y gastric bypass. Obesity. 2009 ; 17(1) : 92-9. https://doi.org/10.1038/oby.2008.507
  32. Ashton K, Heinberg L, Windover A, Merrell J. Positive response to binge eating intervention enhances postoperative weight loss. Surg Obes R elat Dis. 2011 ; 7(3) : 315-20. https://doi.org/10.1016/j.soard.2010.12.005
  33. Junior WS, Do Amaral JL, Nonino-Borges CB. Factors related to weight loss up to 4 years after bariatric surgery. Obes Surg. 2011 ; 21(11) : 1724-30. https://doi.org/10.1007/s11695-011-0420-3
  34. Miras AD, Al-Najim W, Jackson SN, McGirr J, Cotter L, Tharakan G, et al. Psychological characteristics, eating behavior, and quality of life assessment of obese patients undergoing weight loss interventions. Scand J Surg. 2014 ; 104(1) : 10 -7. https://doi.org/10.1177/1457496914543977
  35. Fox B, Chen E, Suzo A, Jolles S, Greenberg JA, Campos GM, et al. Dietary and psych predictors of weight loss after gastric bypass. J Surg Res. 2015 ; 197(2) : 283-90. https://doi.org/10.1016/j.jss.2015.04.019
  36. Parri A, Benaiges D, Schroder H, Izquierdo-Pulido M, Ramon J, Villatoro M, et al. Preoperative predictors of weight loss at 4 years following bariatric surgery. Nutr Clin Pract. 2015 ; 30(3) : 420-4. https://doi.org/10.1177/0884533614568154
  37. Binda A, Jaworski P, Kudlicka E, Ciesielski A, Cabaj H, Tarnowski W. The impact of selected factors on parameters of weight loss after sleeve gastrectomy. Videosurgery Miniinv. 2016 ; 11(4) : 288-94.
  38. Thomson L, Sheehan KA, Meaney C, Wnuk S, Hawa R, Sockalingam S. Prospective study of psychiatric illness as a predictor of weight loss and health related quality of life one year after bariatric surgery. J Psychosom Res. 2016 ; 86 : 7-12. https://doi.org/10.1016/j.jpsychores.2016.04.008
  39. Wise ES, Hocking KM, Kavic SM. Prediction of excess weight loss after laparoscopic Roux-en-Y gastric bypass: data from an artificial neural network. Surg Endosc Other Interv Tech. 2016 ; 30(2) : 480-8.
  40. Alfonsson S, Weineland-Strandskov S, Sundbom M. Selfreported hedonism predicts 12-month weight loss after Roux-en-Y gastric bypass. Obes Surg. 2017 ; 27(8) : 2073-8. https://doi.org/10.1007/s11695-017-2603-z
  41. Al-Khyatt W, Ryall R, Leeder P, Ahmed J, Awad S. Predictors of inadequate weight loss after laparoscopic gastric bypass for morbid obesity. Obes Surg. 2017 ; 27(6) : 1446-52. https://doi.org/10.1007/s11695-016-2500-x
  42. Dilektasli E, Erol MF, Cayci HM, Ozkaya G, Bayam ME, Duman U, et al. Low educational status and childhood obesity associated with insufficient mid-term weight loss after sleeve gastrectomy: a retrospective observational cohort study. Obes Surg. 2017 ; 27(1) : 162-8. https://doi.org/10.1007/s11695-016-2273-2
  43. Kim KK, Suh HS, Hwang IC, Ko KD. Influence of eating behaviors on short-term weight loss by orlistat and anorectic agent. Eat Behav. 2014 ; 15(1) : 87-90. https://doi.org/10.1016/j.eatbeh.2013.10.019
  44. Fujioka K, O'Neil PM, Davies M, Greenway F, Lau D, Claudius B, et al. Early weight loss with liraglutide 3.0 mg predicts 1-year weight loss and is associated with improvements in clinical markers. Obesity. 2016 ; 24(11) : 2278-88. https://doi.org/10.1002/oby.21629
  45. Thomas EA, McNair B, Bechtell JL, Ferland A, Cornier MA, Eckel RH. Greater hunger and less restraint predict weight loss success with phentermine treatment. Obesity. 2016 ; 24(1) : 37-43. https://doi.org/10.1002/oby.21244
  46. Hwang DS, Lee YJ, Lee CH, Kim YS, Jang JB, Lee KS. The efficacy of low frequency electroacupuncture therapy for weight loss in obese Korean women. 2009 ; 22(2) : 140-50.
  47. Lee YJ, Hwang DS, Cho JM, Lee JM, Lee CH, Jang JB, et al. The difference of weight loss at age and exercise in women after oriental obesity treatment in short term. 2009 ; 22(3) : 197-204.
  48. Kim SJ, Kim WI. A clinical study about the effects of oriental medical therapy on obesity and different effects between groups. The Journal of Korean Medicine Ophthalmology & Otolaryngology & Dermatology. 2012 ; 25(3) : 97-112. https://doi.org/10.6114/jkood.2012.25.3.097
  49. Lee YH, Go NG, Min DL. Retrospective study about the effectiveness of Korean Medicine treatment on 254 patients visited obesity clinic. J Korean Med Obes Res. 2015 ; 15(1) : 33-7. https://doi.org/10.15429/jkomor.2015.15.1.33
  50. Kang EY, Park YB, Kim MY, Park YJ. A study on factors associated with weight loss by "Gamitaeeumjowee- Tang." J Korean Med Obes Res. 2017 ; 17(2) : 68-76. https://doi.org/10.15429/jkomor.2017.17.2.68
  51. Williams RL, Wood LG, Collins CE, Callister R. Effectiveness of weight loss interventions-is there a difference between men and women: a systematic review. Obes Rev. 2015 ; 16(2) : 171-86. https://doi.org/10.1111/obr.12241
  52. Wimmelmann CL, Dela F, Mortensen EL. Psychological predictors of weight loss after bariatric surgery: a review of the recent research. Obes Res Clin Pract. 2014 ; 8(4) : e299-313. https://doi.org/10.1016/j.orcp.2013.09.003
  53. Livhits M, Mercado C, Yermilov I, Parikh JA, Dutson E, Mehran A, et al. Preoperative predictors of weight loss following bariatric surgery: systematic review. Obes Surg. 2012 ; 22(1) : 70-89. https://doi.org/10.1007/s11695-011-0472-4
  54. Stubbs J, Whybrow S, Teixeira P, Blundell J, Lawton C, Westenhoefer J, et al. Problems in identifying predictors and correlates of weight loss and maintenance: implications for weight control therapies based on behaviour change. Obes Rev. 2011 ; 12(9) : 688-708. https://doi.org/10.1111/j.1467-789X.2011.00883.x
  55. Boutcher SH, Dunn SL. Factors that may impede the weight loss response to exercise-based interventions. Obes Rev. 2009 ; 10(6) : 671-80. https://doi.org/10.1111/j.1467-789X.2009.00621.x

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