Literature DB >> 10023729

Predictors of weight maintenance.

W J Pasman1, W H Saris, M S Westerterp-Plantenga.   

Abstract

OBJECTIVE: To obtain predictors of weight maintenance after a weight-loss intervention. RESEARCH METHODS AND PROCEDURES: An overall analysis of data from two-long intervention studies [n=67 women; age: 37.9+/-1.0 years; body weight (BW): 87.0+/-1.2 kg; body mass index: 32.1+/-0.5 kg.m(-2); % body fat: 42.4+/-0.5%]. Subjects were measured before a very low energy diet (month 0), after the very low energy diet of 2 months (month 2) and after a 14-month follow-up phase (at 16 months), in which fiber or a carbohydrate-containing food supplement was supplied. The baseline measurements and the changes in parameters induced by the diet intervention were used to predict the changes in BW in the follow-up phase [deltaBW(2-16)].
RESULTS: Multiple regression analysis revealed that 50% (p<0.001) of the variability in weight regain could be explained by physiological and behavioral factors. These were: frequency of previous dieting (r2=0.27, p<0.05), hunger score (measured with the three-factor eating behavior questionnaire), and change in 24-hour resting metabolic rate (RMR). Frequent dieters showed significantly more weight regain than less frequent dieters (8.8+/-1.0 kg vs. 5.1+/-0.8 kg, p<0.01). Subjects having parents with obesity regained almost significantly more weight than subjects with lean parents (8.5+/-0.2 kg vs. 5.1+/-1.5 kg, respectively; p = 0.06). DISCUSSION: Physiological (deltaRMR-24 hours) and behavioral factors (previous frequency of dieting and hunger score) predicted failure of weight maintenance and, as such, can be used to identify women who are at risk for weight regain.

Entities:  

Mesh:

Year:  1999        PMID: 10023729     DOI: 10.1002/j.1550-8528.1999.tb00389.x

Source DB:  PubMed          Journal:  Obes Res        ISSN: 1071-7323


  39 in total

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2.  A prospective study of predictors of successful weight maintenance by women enrolled in community-based weight-loss programs.

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3.  Psychological and behavioural factors associated with long-term weight maintenance after a multidisciplinary treatment of uncomplicated obesity.

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4.  Weight and Shape Concern Impacts Weight Gain Prevention in the SNAP Trial: Implications for Tailoring Intervention Delivery.

Authors:  KayLoni L Olson; Rebecca H Neiberg; Deborah F Tate; Katelyn R Garcia; Amy A Gorin; Cora E Lewis; Jessica Unick; Rena R Wing
Journal:  Obesity (Silver Spring)       Date:  2018-06-28       Impact factor: 5.002

Review 5.  Biology's response to dieting: the impetus for weight regain.

Authors:  Paul S Maclean; Audrey Bergouignan; Marc-Andre Cornier; Matthew R Jackman
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6.  Week-to-week predictors of weight loss and regain.

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Journal:  Health Psychol       Date:  2019-09-30       Impact factor: 4.267

7.  Analysis of the factors affecting the success of weight reduction programs.

Authors:  Jungsun Kim; Sue Kyung Park; Yun Jeong Lim
Journal:  Yonsei Med J       Date:  2007-02-28       Impact factor: 2.759

8.  Effects of caloric restriction with varying energy density and aerobic exercise on weight change and satiety in young female adults.

Authors:  Sae Won Song; Yoon Jung Bae; Dae Taek Lee
Journal:  Nutr Res Pract       Date:  2010-10-26       Impact factor: 1.926

9.  Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index.

Authors:  Ping Wang; Claus Holst; Malene R Andersen; Arne Astrup; Freek G Bouwman; Sanne van Otterdijk; Will K W H Wodzig; Marleen A van Baak; Thomas M Larsen; Susan A Jebb; Anthony Kafatos; Andreas F H Pfeiffer; J Alfredo Martinez; Teodora Handjieva-Darlenska; Marie Kunesova; Wim H M Saris; Edwin C M Mariman
Journal:  PLoS One       Date:  2011-02-14       Impact factor: 3.240

10.  Weight loss and regain in obese individuals: a link with adipose tissue metabolism indices?

Authors:  P Mauriège; P Imbeault; E Doucet; M Lacaille; D Langin; N Alméras; J P Després; A Tremblay
Journal:  J Physiol Biochem       Date:  2013-01-27       Impact factor: 4.158

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