Literature DB >> 18319635

Psychosocial and behavioral pre-treatment predictors of weight loss outcomes.

S D Anton1, C K Martin, L Redman, E York-Crowe, L K Heilbronn, H Han, D A Williamson, E Ravussin.   

Abstract

OBJECTIVE: This study tested whether baseline behavioral and psychological variables predict weight and fat loss among overweight, non-obese individuals participating in a six-month calorie restriction trial. Participants (N=48) were randomly assigned to four groups, three of which included a calorie restriction program and one of which served as a healthy diet weight maintenance control. For the purposes of this study, data were analyzed only for participants assigned to the three calorie restriction groups (n=36). Ten psychological and behavioral measures were investigated through principal components factor analysis to examine whether these measures were assessing similar or distinct psychological and behavioral constructs. Based on the obtained six-factor solution, one measure from each domain was selected for inclusion in hierarchical regression analyses, which was used to test the relative importance of psychosocial and behavioral variables in predicting percent weight and fat loss over six months. After controlling for demographic and treatment variables, the behavioral and psychological measures of negative mood states, poor psychosocial functioning, and somatic symptoms were associated with less weight loss (R2=0.68, p<0.001) and fat loss (R2=0.65, p<0.001) over six months. Among overweight individuals, poor psychological adjustment, somatic symptoms, and negative mood states appear to form a psychosocial profile that is predictive of less weight and fat loss in calorie restriction programs.

Entities:  

Mesh:

Year:  2008        PMID: 18319635     DOI: 10.1007/bf03327782

Source DB:  PubMed          Journal:  Eat Weight Disord        ISSN: 1124-4909            Impact factor:   4.652


  20 in total

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Journal:  Health Psychol       Date:  2005-07       Impact factor: 4.267

Review 3.  The effects of dieting on eating behavior: a three-factor model.

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Journal:  Psychol Bull       Date:  1993-07       Impact factor: 17.737

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Journal:  Science       Date:  2004-09-03       Impact factor: 47.728

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Journal:  J Psychosom Res       Date:  1985       Impact factor: 3.006

7.  Examination of cognitive function during six months of calorie restriction: results of a randomized controlled trial.

Authors:  Corby K Martin; Stephen D Anton; Hongmei Han; Emily York-Crowe; Leanne M Redman; Eric Ravussin; Donald A Williamson
Journal:  Rejuvenation Res       Date:  2007-06       Impact factor: 4.663

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Journal:  J Nutr       Date:  1986-04       Impact factor: 4.798

9.  The children's DEBQ for assessment of restrained, emotional, and external eating in 7- to 12-year-old children.

Authors:  Tatjana van Strien; Paul Oosterveld
Journal:  Int J Eat Disord       Date:  2008-01       Impact factor: 4.861

10.  Is caloric restriction associated with development of eating-disorder symptoms? Results from the CALERIE trial.

Authors:  Donald A Williamson; Corby K Martin; Stephen D Anton; Emily York-Crowe; Hongmei Han; Leanne Redman; Eric Ravussin
Journal:  Health Psychol       Date:  2008-01       Impact factor: 4.267

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  11 in total

1.  Readiness redefined: a behavioral task during screening predicted 1-year weight loss in the look AHEAD study.

Authors:  Adam G Tsai; Anthony N Fabricatore; Thomas A Wadden; Allison J Higginbotham; Andrea Anderson; John Foreyt; James O Hill; Robert W Jeffery; Marci E Gluck; Edward W Lipkin; Rebecca S Reeves; Brent Van Dorsten
Journal:  Obesity (Silver Spring)       Date:  2013-12-09       Impact factor: 5.002

Review 2.  Caloric restriction in humans: impact on physiological, psychological, and behavioral outcomes.

Authors:  Leanne M Redman; Eric Ravussin
Journal:  Antioxid Redox Signal       Date:  2010-08-28       Impact factor: 8.401

3.  Risk factors for weight gain: a longitudinal study in non-weight loss treatment-seeking overweight adults.

Authors:  Emilia Manzato; Antonia Bolognesi; Marzia Simoni; Massimo Cuzzolaro
Journal:  Eat Weight Disord       Date:  2015-01-21       Impact factor: 4.652

4.  The Weight of Racial Discrimination: Examining the Association Between Racial Discrimination and Change in Adiposity Among Emerging Adult Women Enrolled in a Behavioral Weight Loss Program.

Authors:  Kristal Lyn Brown; Anika L Hines; Nao Hagiwara; Shawn Utsey; Robert A Perera; Jessica Gokee LaRose
Journal:  J Racial Ethn Health Disparities       Date:  2021-03-29

5.  Predictors of attrition and weight loss success: Results from a randomized controlled trial.

Authors:  Anthony N Fabricatore; Thomas A Wadden; Reneé H Moore; Meghan L Butryn; Steven B Heymsfield; Allison Martin Nguyen
Journal:  Behav Res Ther       Date:  2009-05-20

Review 6.  Effect of caloric restriction in non-obese humans on physiological, psychological and behavioral outcomes.

Authors:  Leanne M Redman; Corby K Martin; Donald A Williamson; Eric Ravussin
Journal:  Physiol Behav       Date:  2008-04-18

7.  Psychosocial factors that have an influence on the effects of obesity improvement programs.

Authors:  Hideaki Hanaoka; Hitoshi Okamura; Mamiko Iwamoto; Chiaki Yagura; Isao Kihara; Akiko Nogi; Hajime Shimizu; Kuninori Shiwaku
Journal:  J Rural Med       Date:  2010

8.  Eating and psychological profiles of women with higher depressive symptoms who are trying to lose weight.

Authors:  C Bégin; S De Grandpré; M-P Gagnon-Girouard
Journal:  J Obes       Date:  2012-08-07

9.  Social networks and social norms are associated with obesity treatment outcomes.

Authors:  Tricia M Leahey; Caroline Y Doyle; Xiaomeng Xu; Jessica Bihuniak; Rena R Wing
Journal:  Obesity (Silver Spring)       Date:  2015-07-07       Impact factor: 5.002

10.  Calorie restriction is the most reasonable anti-ageing intervention: a meta-analysis of survival curves.

Authors:  Yaru Liang; Chang Liu; Maoyang Lu; Qiongye Dong; Zimu Wang; Zhuoran Wang; Wenxiang Xiong; Nannan Zhang; Jiawei Zhou; Qingfei Liu; Xiaowo Wang; Zhao Wang
Journal:  Sci Rep       Date:  2018-04-10       Impact factor: 4.379

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