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  • P-ISSN 1010-0695
  • E-ISSN 2288-3339

Review on predictors of dropout and weight loss maintenance in weight loss interventions

Journal of Korean Medicine / Journal of Korean Medicine, (P)1010-0695; (E)2288-3339
2016, v.37 no.3, pp.62-73



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Abstract

Objectives: Dropout and weight regain are common problems in most obesity treatments. The purpose of this study was to review previously published study results of the predictive factors associated with dropout during weight loss treatment and weight loss maintenance after successful weight loss. Methods: Authors searched for the articles related to dropout and weight loss maintenance, published from 2007 to 2016 found on Pubmed, Scopus, RISS, and KISS. A total of 19 articles were finally selected. From the study results, unchangeable and changeable predictors were extracted, and these predictors were examined according to dropout and weight loss maintenance categories. Results: The unchangeable predictors of dropout were younger age, lower education level and female, whereas the changeable predictors of dropout were lower initial weight loss, symptoms of depression and body dissatisfaction. The strongest factor for predicting the dropout was initial weight loss. The unchangeable predictors of weight loss maintenance were old age, male and family history of obesity, whereas the changeable predictors of weight loss maintenance were regular exercise, dietary restraint, self-weighing and low depressive symptoms. Initial weight loss, depressive symptoms, body image, dietary restraint, physical activity, weight loss expectation and social support were considered to be dominant factors for weight loss treatments. Conclusions: Our review results suggest that unchangeable and changeable predictors of dropout and weight loss maintenance should be carefully examined during treatments of obesity.

keywords
Dropout, Weight loss maintenance, Obesity treatment, Predictors, Factors


Reference

1

1. World Health Organization (CH). Obesity and overweight [Internet]. Geneva: WHO Media Centre. 2011. Available at: URL:http://www. who.int/mediacentre/factsheets/fs311/en/. Accessed Jun 16, 2014.

2

2. Haidar YM, Cosman BC. Obesity epidemiology. Clinics in Colon and Rectal Surgery. 2011;24:205-210.

3

3. 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).

4

4. Kopelman P. Health risks associated with overweight and obesity. Obesity Reviews. 2007;8(1):13-17.

5

5. Kopelman PG. Obesity as a medical problem. Nature.2000;404(6778):635-643.

6

6. Park JW. The Effect of Weight Reduction on Chronic Inflammatory Molecules and Insulin Resistance in type 2 DM. Ajou Univ.; 2005.

7

7. Nam JS. Gene polymorphism of 5-HT2c receptor influences on the therapeutic effects of sibutramine to obesity. Journal of Korean Diabetes. 2007;1:255.

8

8. Wing RR. Benefits of modest weight loss in improving cardiovascular risk factors in overweight and obese individuals with type 2diabetes. Diabetes care. 2011;34(7):1481-1486.

9

9. Yang SK, Lee YS, Lee HS, Kim CY. Histologic Findings of the Liver in HbsAg -Negative Patients with Chronic Aminotransferase Elevations. Korean Journal of Medicine. 1992;42(2):139-147.

10

10. Fabricatore AN, Wadden TA, Moore RH, Butryn ML, Gravallese EA, Erondu NE, et al. Attrition from randomized controlled trials of pharmacological weight loss agents: a systematic review and analysis. Obesity Review. 2009;10:333-341.

11

11. Christopher N. Sciamanna. Michaela Kiernan. Practices associated with weight loss versus weight-loss maintenance results of a national survey. American journal of preventive medicine. 2011;41(2):159.

12

12. Kim SY. General Characteristics and Psychological and Environmental Factors Related to Successful Weight Reduction Programs in Obese Premenopausal Women. Journal of the East Asian Society of Dietary Life. 2007;17(5):634-643.

13

13. Fabricatore, Anthony N. Predictors of attrition and weight loss success: Results from a randomized controlled trial. 2009;47(8): 685-691.

14

14. Gunnarsdottir I. Predictors of Dropping Out in a Weight Loss Intervention Trial. Annals of Nutrition and Metabolism. 2010;56(3):212-216.

15

15. Elfhag K. Initial weight loss is the best predictor for success in obesity treatment and sociodemographic liabilities increase risk for drop-out. Patient Education and Counselling. 2010;79(3):361-366.

16

16. Moroshko I, Brennan L, O’'Brien P. dropout in weight loss interventions a systematic review of the literature. Obesity Reviews. 2011;12(11):912-934.

17

17. Ortner Hadziabdic M, 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. Journal of Human Nutrition and Dietetics. 2015;28(2):24-32.

18

18. Yackobovitch-Gavan M. Factors associated with dropout in a group weight-loss programme:a longitudinal investigation. Journal of Human Nutrition and Dietetics. 2015;28(2):33-40.

19

19. Goode RW, Ye L, Sereika SM, Mancino J. Socio-demographic, anthropometric and psychosocial predictors of attrition across behavioral weight-loss trials. Source of the DocumentEating Behaviors. 2016;20:27-33.

20

20. Rena RW. Maintaining Large Weight Losses:The Role of Behavioral and Psychological Factors. Journal of Consulting and Clinical Psychology. 2008;76(6):1015-1021.

21

21. Collings AS. A prospective study of predictors of successful weight maintenance by women enrolled in community-based weight-loss programs. Bulimia and Obesity. 2008;13(1):38-47.

22

22. Ohsiek S. Psychological factors influencing weight loss maintenance: an integrative literature review. Journal of the American Academy of Nurse of Nurse practitioner. 2011;23(11):592-601.

23

23. Ovbiosa A, Osayi E. Factors associated with long-term weight loss and weight maintenance:analysis of a comprehensive workplace wellness program. Journal of Occupational and Environmental Medicine. 2011;53(11):1236-1242.

24

24. Stubbs J, Whybrow S, Teixeira P, Blundell J, Lawton C. Problems in identifying predictors and correlates of weight loss and maintenance:implications for weight control therapies based on behaviour change. Obesity Reviews. 2011;12(9):88-708.

25

25. Linda MD, Qing P, Kathleen AJ, Karol EW, Jeanne MM, Alan S, et al. Genetic predictors of weight loss and weight regain after intensive lifestyle modification, metformin treatment, or standard care in the diabetes prevention program. Diabetes care. 2012;35(2):363-366.

26

26. Lee JH. Related factors of long-term maintenance of weight loss in obese patients. Ulsan Univ.;2014.

27

27. Brantley PJ. Psychosocial predictors of weight regain in the weight loss maintenance trial. Journal of Behavioral Medicine. 2014;37(6):1155-1168.

28

28. Abildso CG, Schmid O, Byrd M, Quartiroli A, Fitzpatrick SJ. Predictors of weight loss maintenance following an insurance-sponsored weight management program. Journal of Obesity. 2014:736080.

29

29. Nikolić MA, Kruljac IB, Kirigin LC, Mirošević GB, Ljubičić NA, Pezo NikolićBD. Initial weight loss after restrictive bariatric procedures may predict mid-term weight maintenance: Results from a 12-month pilot trial. Bariatric Surgical Practice and Patient Care. 2015;10(2):68-73.

30

30. Santos I, Mata J. Predicting long-term weight loss maintenance in previously overweight women: A signal detection approach. Obesity. 2015;23(5):957-964.

31

31. Kathryn MR, J Graham T, Wing RR. Successful weight loss maintenance associated with morning chronotype and better sleep quality. Journal of Behavioral Medicine. 2016;39(3):465-471.

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