Literature DB >> 22575038

Adoption of diet-related self-monitoring behaviors varies by race/ethnicity, education, and baseline binge eating score among overweight-to-obese postmenopausal women in a 12-month dietary weight loss intervention.

Angela Kong1, Shirley A A Beresford, Ikuyo Imayama, Catherine Duggan, Catherine M Alfano, Karen E Foster-Schubert, Marian L Neuhouser, Donna B Johnson, Ching-Yun Wang, Liren Xiao, Carolyn E Bain, Anne McTiernan.   

Abstract

Recent research has identified self-monitoring behaviors as important strategies for both initial weight loss and weight loss maintenance, but relatively little is known about adopters and nonadopters of these behaviors. To test our hypothesis that key characteristics distinguish adopters from nonadopters, we examined the demographic characteristics and eating behaviors (eg, restrained, uncontrolled, emotional, and binge eating) associated with more frequent compared with less frequent use of these behaviors. Baseline demographic characteristics and eating behaviors as well as 12-month self-monitoring behaviors (ie, self-weighing, food journaling, monitoring energy intake) were assessed in 123 postmenopausal women enrolled in a dietary weight loss intervention. Logistic regression models were used to test associations of self-monitoring use with demographic characteristics and eating behaviors. Nonwhites, compared with non-Hispanic whites, were less likely to monitor energy intake regularly (adjusted odds ratio [OR], 0.36; 95% confidence interval [CI], 0.13-0.97; P < .05), controlling for intervention arm and baseline body mass index. Participants with a college degree or higher education were less likely to self-weigh daily (adjusted OR, 0.30; 95% CI, 0.13-0.67; P < .01) compared with individuals who attended some college or less. Those with higher baseline binge eating scores were less likely to monitor energy intake (adjusted OR, 0.84; 95% CI, 0.73-0.97; P < .01) compared with participants with lower binge eating scores. In summary, use of diet-related self-monitoring behaviors varied by race/ethnicity, education, and binge eating score in postmenopausal women who completed a year-long dietary weight loss intervention. Improved recognition of groups less likely to self-monitor may be helpful in promoting these behaviors in future interventions.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22575038      PMCID: PMC3350640          DOI: 10.1016/j.nutres.2012.03.001

Source DB:  PubMed          Journal:  Nutr Res        ISSN: 0271-5317            Impact factor:   3.315


  26 in total

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Authors:  Lora E Burke; Jing Wang; Mary Ann Sevick
Journal:  J Am Diet Assoc       Date:  2011-01

2.  A self-regulation program for maintenance of weight loss.

Authors:  Rena R Wing; Deborah F Tate; Amy A Gorin; Hollie A Raynor; Joseph L Fava
Journal:  N Engl J Med       Date:  2006-10-12       Impact factor: 91.245

3.  Effect of diet and exercise, alone or combined, on weight and body composition in overweight-to-obese postmenopausal women.

Authors:  Karen E Foster-Schubert; Catherine M Alfano; Catherine R Duggan; Liren Xiao; Kristin L Campbell; Angela Kong; Carolyn E Bain; Ching-Yun Wang; George L Blackburn; Anne McTiernan
Journal:  Obesity (Silver Spring)       Date:  2011-04-14       Impact factor: 5.002

4.  Randomized trial of lifestyle modification and pharmacotherapy for obesity.

Authors:  Thomas A Wadden; Robert I Berkowitz; Leslie G Womble; David B Sarwer; Suzanne Phelan; Robert K Cato; Louise A Hesson; Suzette Y Osei; Rosalind Kaplan; Albert J Stunkard
Journal:  N Engl J Med       Date:  2005-11-17       Impact factor: 91.245

5.  The Diabetes Prevention Program (DPP): description of lifestyle intervention.

Authors: 
Journal:  Diabetes Care       Date:  2002-12       Impact factor: 19.112

6.  Binge status as a predictor of weight loss treatment outcome.

Authors:  N E Sherwood; R W Jeffery; R R Wing
Journal:  Int J Obes Relat Metab Disord       Date:  1999-05

7.  Look AHEAD (Action for Health in Diabetes): design and methods for a clinical trial of weight loss for the prevention of cardiovascular disease in type 2 diabetes.

Authors:  Donna H Ryan; Mark A Espeland; Gary D Foster; Steven M Haffner; Van S Hubbard; Karen C Johnson; Steven E Kahn; William C Knowler; Susan Z Yanovski
Journal:  Control Clin Trials       Date:  2003-10

8.  Weight loss during the intensive intervention phase of the weight-loss maintenance trial.

Authors:  Jack F Hollis; Christina M Gullion; Victor J Stevens; Phillip J Brantley; Lawrence J Appel; Jamy D Ard; Catherine M Champagne; Arlene Dalcin; Thomas P Erlinger; Kristine Funk; Daniel Laferriere; Pao-Hwa Lin; Catherine M Loria; Carmen Samuel-Hodge; William M Vollmer; Laura P Svetkey
Journal:  Am J Prev Med       Date:  2008-08       Impact factor: 5.043

9.  The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger.

Authors:  A J Stunkard; S Messick
Journal:  J Psychosom Res       Date:  1985       Impact factor: 3.006

10.  Consistent self-monitoring of weight: a key component of successful weight loss maintenance.

Authors:  Meghan L Butryn; Suzanne Phelan; James O Hill; Rena R Wing
Journal:  Obesity (Silver Spring)       Date:  2007-12       Impact factor: 5.002

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  5 in total

1.  Adherence to mobile-app-based dietary self-monitoring-Impact on weight loss in adults.

Authors:  Jason E Payne; Melanie T Turk; Melissa A Kalarchian; Christine A Pellegrini
Journal:  Obes Sci Pract       Date:  2021-09-28

2.  Relation of self-weighing to future weight gain and onset of disordered eating symptoms.

Authors:  Paul Rohde; Danielle Arigo; Heather Shaw; Eric Stice
Journal:  J Consult Clin Psychol       Date:  2018-08

3.  Socio-demographic, anthropometric, and psychosocial predictors of attrition across behavioral weight-loss trials.

Authors:  Rachel W Goode; Lei Ye; Susan M Sereika; Yaguang Zheng; Meghan Mattos; Sushama D Acharya; Linda J Ewing; Cynthia Danford; Lu Hu; Christopher C Imes; Eileen Chasens; Nicole Osier; Juliet Mancino; Lora E Burke
Journal:  Eat Behav       Date:  2015-11-14

4.  What is the psychological impact of self-weighing? A meta-analysis.

Authors:  Yael Benn; Thomas L Webb; Betty P I Chang; Benjamin Harkin
Journal:  Health Psychol Rev       Date:  2016-02-09

5.  Florida child care center directors' intention to implement oral health promotion practices in licensed child care centers.

Authors:  Ajay Joshi; Romer Ocanto; Robin J Jacobs; Vinodh Bhoopathi
Journal:  BMC Oral Health       Date:  2016-09-22       Impact factor: 2.757

  5 in total

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