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BioPsychoSocial Medicine
Published in: BioPsychoSocial Medicine 1/2017

Open Access 01-12-2017 | Research

Predictors of successful long-term weight loss maintenance: a two-year follow-up

Authors: Ryoko Sawamoto, Takehiro Nozaki, Tomoe Nishihara, Tomokazu Furukawa, Tomokazu Hata, Gen Komaki, Nobuyuki Sudo

Published in: BioPsychoSocial Medicine | Issue 1/2017

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Abstract

Background

Weight regain is a common problem following weight loss intervention, with most people who seek treatment for obesity able to lose weight, but few able to sustain the changes in behavior required to prevent subsequent weight regain. The identification of factors that predict which patients will successfully maintain weight loss or who are at risk of weight regain after weight loss intervention is necessary to improve the current weight maintenance strategies. The aim of the present study is identify factors associated with successful weight loss maintenance by women with overweight or obesity who completed group cognitive behavioral treatment (CBT) for weight loss.

Methods

Ninety women with overweight or obesity completed a 7-month weight loss intervention. The data of 86 who completed follow-up surveys 12 and 24 months after the end of the treatment was analyzed. Depression, anxiety, binge eating, food addiction, and eating behaviors were assessed before and after the weight loss intervention. Participants who lost at least 10% of their initial weight during the weight loss intervention and had maintained the loss at the month 24 follow-up were defined as successful.

Results

The intervention was successful for 27 participants (31.3%) and unsuccessful for 59 (68.6%). Multiple logistic regression analysis extracted larger weight reduction during the weight loss intervention, a lower disinhibition score, and a low food addiction score at the end of the weight loss intervention as associated with successful weight loss maintenance.

Conclusion

The results suggest that larger weight reduction during the weight loss intervention and lower levels of disinhibition and food addiction at the end of the weight loss intervention predicted successful weight loss maintenance.

Trial registration

Trial registry name: Development and validation of effective treatments of weight loss and weight-loss maintenance using cognitive behavioral therapy for obese patients.
Registration ID: UMIN000006803
Registered 1 January 2012.
Literature
1.
Wadden TA, Butryn ML, Byrne KJ. Efficacy of lifestyle modification for long-term weight control. Obes Res. 2004;12(Suppl):151S–62S.CrossRefPubMed
2.
Cooper Z, Doll HA, Hawker DM, Byrne S, Bonner G, Eeley E, O’Connor ME, Firburn CG. Testing a new cognitive behavioural treatment for obesity: A randomized controlled trial with three-year follow-up. Behav Res Ther. 2010;48:706–13.CrossRefPubMedPubMedCentral
3.
Teixeira PJ, Going SB, Sardinha LB, Lohman TG. A review of psychosocial pre-treatment predictors of weight control. Obes Rev. 2005;6:43–65.CrossRefPubMed
4.
Elfhag K, Rossner S. Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obes Rev. 2005;6:67–85.CrossRefPubMed
5.
Nieto MM, Wilson J, Cupo A, Roques BP, Noble F. Chronic morphine treatment modulates the extracellular levels of endogenous enkephalins in rat brain structures involved in opiate dependence: a microdialysis study. J Neurosci. 2002;22:1034–41.PubMed
6.
Gearhardt AN, Corbin WR, Brownell KD. Preliminary validation of the Yale Food Addiction Scale. Appetite. 2009;52:430–6.CrossRefPubMed
7.
Gearhardt AN, White MA, Masheb RM, Morgan PT, Crosby RD, Grilo CM. An examination of the food addiction construct in obese patients with binge eating disorder. Int J Eat Disord. 2012;45:657–63.CrossRefPubMed
8.
Ceccarini M, Manzoni GM, Castelnuovo G, Molinari E. An Evaluation of the Italian Version of the Yale Food Addiction Scale in Obese Adult Inpatients Engaged in a 1-Month-Weight-Loss Treatment. J Med Food. 2015;18:1281–7.CrossRefPubMed
9.
Sawamoto R, Nozaki T, Furukawa T, Tanahashi T, Morita C, Hata T, Komaki G, Sudo N. Higher sleep fragmentation predicts a lower magnitude of weight loss in overweight and obese women participating in a weight-loss intervention. Nutr Diabetes. 2014;4:e144.CrossRefPubMedPubMedCentral
10.
Sawamoto R, Nozaki T, Furukawa T, Tanahashi T, Morita C, Hata T, Komaki G, Sudo N. Predictors of Dropout by Female Obese Patients Treated with a Group Cognitive Behavioral Therapy to Promote Weight Loss. Obes Facts. 2016;9:29–38.CrossRefPubMed
11.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: APA Press; 1994.
12.
Cooper Z, Fairburn C, Hawker D. Cognitive–behavioral treatment of obesity; a clinician’s Guide 2003. New York: Guilford Press; 2003.
13.
Nozaki T, Sawamoto R, Sudo N. Cognitive behavioral therapy for obesity. Nihon Rinsho. 2013;71:329–34.PubMed
14.
National Institutes of Health. Anonymous Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults─The Evidence Report. Obes Res. 1998;6 Suppl 2:51S–209S.
15.
Look AHEAD Research Group and Wing RR. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the Look AHEAD trial. Arch Intern Med. 2010;170:1566–75.PubMed
16.
Diabetes Prevention Program (DPP) Research Group. The Diabetes Prevention Program (DPP): description of lifestyle intervention. Diabetes Care. 2002;25:2165–71.CrossRef
17.
18.
Japanese Society of Hypertension Committee for Guidelines for the Management of Hypertension. The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2014). Hypertens Res. 2014;37:253–390.CrossRef
19.
Shima S, Shikano T, Kitamura T, Asai M. A new self-report depression scale. Clin Psychiatry (Seishinigaku). 1985;27:717–23 (in Japanese).
20.
Radloff L. The CES-D Scale. A Self-Report Depression Scale for Research in the General Population. Appl Psychol Meas. 1997;1(3):385–401.CrossRef
21.
Nakazato K, Mizuguchi K. Studies on psychometric characteristics of depression in the field of internal medicine. Jap J Psychosom Med. 1982;22:107–12 (in Japanese).
22.
Spielberger C, Gorsuch R, Lushene R, Vagg P, Jacobs G. Manual for the state-trait anxiety inventory (STAI). Palo Alto: Consulting Psychologists Press; 1983.
23.
Gormally J, Black S, Daston S, Rardin D. The assessment of binge eating severity among obese persons. Addict Behav. 1982;7:47–55.CrossRefPubMed
24.
Adachi T, Fujii K, Yamagami T. Responses regarding restrained eating on the Three-Factor Eating Questionnaire and weight loss. Jap J Behav Ther. 1992;18(2):54–66. in Japanese.
25.
Stunkard AJ, Messick S. The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res. 1985;29:71–83.CrossRefPubMed
26.
27.
Rena R. Wing, Suzanne Phelan. Long-term weight loss maintenance. Am J Clin Nutr. 2005;82(suppl):222S–5S.
28.
Benjamini Y, Hochberg Y. Controlling the false discovery rate: A practical and powerful approach to multiple significance testing. J R Stat Soc Ser B Methodol. 1995;57:289–300.
29.
Anderson JW, Konz EC, Frederich RC, Wood CL. Long-term weight-loss maintenance: a meta-analysis of US studies. Am J Clin Nutr. 2001;74:579–84.PubMed
30.
Gow ML, Baur LA, Ho M, Chisholm K, Noakes M, Cowell CT, Gamett SP. Can early weight loss, eating behaviors and socioeconomic factors predict successful weight loss at 12- and 24-months in adolescents with obesity and insulin resistance participating in a randomised controlled trial? Int J Behav Nutr Phys Act. 2016;13:43.CrossRefPubMedPubMedCentral
31.
Vogels N, Westerterp-Plantenga MS. Successful long-term weight maintenance: a 2-year follow-up. Obesity (Silver Spring). 2007;15:1258–66.CrossRef
32.
Dulloo AG, Jacquet J. The control of partitioning between protein and fat during human starvation: its internal determinants and biological significance. Br J Nutr. 1999;82:339–56.CrossRefPubMed
33.
Unick JL, Neiberg RH, Hogan PE, Cheskin LJ, Dutton GR, Jeffery R, Nelson JA, Pi-Sunyer X, West DS, Wing RR, Look AHEAD Research Group. Weight change in the first 2 months of a lifestyle intervention predicts weight changes 8 years later. Obesity (Silver Spring). 2015;23:1353–6.CrossRef
34.
Teixeira PJ, Going SB, Houtkooper LB, Cussler EC, Metcalfe LL, Blew RM, Sardinha LB, Lohaman TG. Pretreatment predictors of attrition and successful weight management in women. Int J Obes Relat Metab Disord. 2004;28:1124–33.CrossRefPubMed
35.
Mackie GM, Samocha-Bonet D, Tam CS. Dose weight cycling promote obesity and metabolic risk factors? Obes Res Clin Prac. 2016;10:284.
36.
Strychar I, Lavoie ME, Messier L, Karelis AD, Doucet E, Proud’homme D, Fontaine J, Rabasa-Lhoret R. Anthropometric, metabolic, psychosocial, and dietary characteristics of overweight/obese postmenopausal women with a history of weight cycling: A MONET (Montreal Ottawa New Emerging Team) Study. J Am Diet Ass. 2009;109:718–24.CrossRef
37.
Chin SO, Keum C, Woo J, Park J, Choi HJ, Woo J, Rhee SY. Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Sci Rep. 2016;1:34563.CrossRef
38.
Marchesini G, Cussolaro M, Mannucci E, Grave RD, Gennaro M, Tomasi F, Barantani EG. Melchionda N and the QUOVADIS Study Group. Int J Obes. 2004;28:1456–62.CrossRef
39.
Foster GD, Wadden TA, Swain RM, Stunkard AJ, Platte P, Vogt RA. The Eating Inventory in obese women: clinical correlates and relationship to weight loss. Int J Obes Relat Metab Disord. 1998;22:778–85.CrossRefPubMed
40.
Karlsson J, Hallgren P, Kral J, Lindroos AK, Sjostrom L, Sullivan M. Predictors and effects of long-term dieting on mental well-being and weight loss in obese women. Appetite. 1994;23:15–26.CrossRefPubMed
41.
Cuntz U, Leibbrand R, Ehrig C, Shaw R, Fichter MM. Predictors of post-treatment weight reduction after in-patient behavioral therapy. Int J Obes Relat Metab Disord. 2001;25 Suppl 1:S99–S101.CrossRefPubMed
42.
McGuire MT, Wing RR, Klem ML, Lang W, Hill JO. What predicts weight regain in a group of successful weight losers? J Consult Clin Psychol. 1999;67:177–85.CrossRefPubMed
43.
Niemeier HM, Phelan S, Fava JL, Wing RR. Internal disinhibition predicts weight regain following weight loss and weight loss maintenance. Obesity (Silver Spring). 2007;15:2485–94.CrossRef
44.
Butryn ML, Thomas JG, Lowe MR. Reductions in internal disinhibition during weight loss predict better weight loss maintenance. Obesity (Silver Spring). 2009;17:1101–3.CrossRef
45.
Davis C, Curtis C, Levitan RD, Carter JC, Kaplan AS, Kennedy JL. Evidence that ‘food addiction’ is a valid phenotype of obesity. Appetite. 2011;57:711–7.CrossRefPubMed
46.
Lent MR, Eichen DM, Goldbacher E, Wadden TA, Foster GD. Relationship of food addiction to weight loss and attrition during obesity treatment. Obesity (Silver Spring). 2014;22:52–5.CrossRef
47.
Stice E, Yokum S, Bohon C, Marti N, Smolen A. Reward circuitry responsivity to food predicts future increases in body mass: moderating effects of DRD2 and DRD4. Neuroimage. 2010;50:1618–25.CrossRefPubMedPubMedCentral
48.
Murdaugh DL, Cox JE, Cook 3rd EW, Weller RE. fMRI reactivity to high-calorie food pictures predicts short- and long-term outcome in a weight-loss program. Neuroimage. 2012;59:2709–21.CrossRefPubMedPubMedCentral
Metadata
Title
Predictors of successful long-term weight loss maintenance: a two-year follow-up
Authors
Ryoko Sawamoto
Takehiro Nozaki
Tomoe Nishihara
Tomokazu Furukawa
Tomokazu Hata
Gen Komaki
Nobuyuki Sudo
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BioPsychoSocial Medicine / Issue 1/2017
Electronic ISSN: 1751-0759
DOI
https://doi.org/10.1186/s13030-017-0099-3

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