Literature DB >> 19856202

Adherence is a multi-dimensional construct in the POUNDS LOST trial.

Donald A Williamson1, Stephen D Anton, Hongmei Han, Catherine M Champagne, Ray Allen, Eric LeBlanc, Donna H Ryan, Katherine McManus, Nancy Laranjo, Vincent J Carey, Catherine M Loria, George A Bray, Frank M Sacks.   

Abstract

Research on the conceptualization of adherence to treatment has not addressed a key question: Is adherence best defined as being a uni-dimensional or multi-dimensional behavioral construct? The primary aim of this study was to test which of these conceptual models best described adherence to a weight management program. This ancillary study was conducted as a part of the POUNDS LOST trial that tested the efficacy of four dietary macronutrient compositions for promoting weight loss. A sample of 811 overweight/obese adults was recruited across two clinical sites, and each participant was randomly assigned to one of four macronutrient prescriptions: (1) Low fat (20% of energy), average protein (15% of energy); (2) High fat (40%), average protein (15%); (3) Low fat (20%), high protein (25%); (4) High fat (40%), high protein (25%). Throughout the first 6 months of the study, a computer tracking system collected data on eight indicators of adherence. Computer tracking data from the initial 6 months of the intervention were analyzed using exploratory and confirmatory analyses. Two factors (accounting for 66% of the variance) were identified and confirmed: (1) behavioral adherence and (2) dietary adherence. Behavioral adherence did not differ across the four interventions, but prescription of a high fat diet (vs. a low fat diet) was found to be associated with higher levels of dietary adherence. The findings of this study indicated that adherence to a weight management program was best conceptualized as being multi-dimensional, with two dimensions: behavioral and dietary adherence.

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Year:  2009        PMID: 19856202      PMCID: PMC3153914          DOI: 10.1007/s10865-009-9230-7

Source DB:  PubMed          Journal:  J Behav Med        ISSN: 0160-7715


  11 in total

1.  Adherence across behavioral domains in treatment promoting smoking cessation plus weight control.

Authors:  Irena Persky; Bonnie Spring; Jillon S Vander Wal; Sherry Pagoto; Donald Hedeker
Journal:  Health Psychol       Date:  2005-03       Impact factor: 4.267

2.  Changes in self-efficacy and dietary adherence: the impact on weight loss in the PREFER study.

Authors:  Melanie T Warziski; Susan M Sereika; Mindi A Styn; Edvin Music; Lora E Burke
Journal:  J Behav Med       Date:  2007-10-26

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Authors:  L Terre; R S Drabman; E F Meydrech
Journal:  Prev Med       Date:  1990-03       Impact factor: 4.018

4.  Covariations of eating behaviors with other health-related behaviors among adolescents.

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Journal:  J Adolesc Health       Date:  1997-06       Impact factor: 5.012

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Authors:  R Hays; A W Stacy; M R DiMatteo
Journal:  Addict Behav       Date:  1984       Impact factor: 3.913

6.  A short questionnaire for the measurement of habitual physical activity in epidemiological studies.

Authors:  J A Baecke; J Burema; J E Frijters
Journal:  Am J Clin Nutr       Date:  1982-11       Impact factor: 7.045

Review 7.  The Look AHEAD study: a description of the lifestyle intervention and the evidence supporting it.

Authors:  Thomas A Wadden; Delia Smith West; Linda Delahanty; John Jakicic; Jack Rejeski; Don Williamson; Robert I Berkowitz; David E Kelley; Christine Tomchee; James O Hill; Shiriki Kumanyika
Journal:  Obesity (Silver Spring)       Date:  2006-05       Impact factor: 5.002

8.  Covariation of adolescent physical activity and dietary behaviors over 12 months.

Authors:  Dori E Rosenberg; Gregory J Norman; James F Sallis; Karen J Calfas; Kevin Patrick
Journal:  J Adolesc Health       Date:  2007-08-29       Impact factor: 5.012

9.  Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates.

Authors:  Frank M Sacks; George A Bray; Vincent J Carey; Steven R Smith; Donna H Ryan; Stephen D Anton; Katherine McManus; Catherine M Champagne; Louise M Bishop; Nancy Laranjo; Meryl S Leboff; Jennifer C Rood; Lilian de Jonge; Frank L Greenway; Catherine M Loria; Eva Obarzanek; Donald A Williamson
Journal:  N Engl J Med       Date:  2009-02-26       Impact factor: 91.245

10.  Dietary adherence and weight loss success among overweight women: results from the A TO Z weight loss study.

Authors:  S Alhassan; S Kim; A Bersamin; A C King; C D Gardner
Journal:  Int J Obes (Lond)       Date:  2008-02-12       Impact factor: 5.095

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  29 in total

1.  Is there a magic diet? Studying the balance of macronutrients needed for best weight loss.

Authors:  Anthony L McCall
Journal:  Curr Diab Rep       Date:  2010-06       Impact factor: 4.810

2.  Neuropeptide Y genotype, central obesity, and abdominal fat distribution: the POUNDS LOST trial.

Authors:  Xiaochen Lin; Qibin Qi; Yan Zheng; Tao Huang; Mark Lathrop; Diana Zelenika; George A Bray; Frank M Sacks; Liming Liang; Lu Qi
Journal:  Am J Clin Nutr       Date:  2015-07-08       Impact factor: 7.045

3.  Fiber Intake Predicts Weight Loss and Dietary Adherence in Adults Consuming Calorie-Restricted Diets: The POUNDS Lost (Preventing Overweight Using Novel Dietary Strategies) Study.

Authors:  Derek C Miketinas; George A Bray; Robbie A Beyl; Donna H Ryan; Frank M Sacks; Catherine M Champagne
Journal:  J Nutr       Date:  2019-10-01       Impact factor: 4.798

4.  Participant adherence indicators predict changes in blood pressure, anthropometric measures, and self-reported physical activity in a lifestyle intervention: HUB city steps.

Authors:  Jessica L Thomson; Alicia S Landry; Jamie M Zoellner; Carol Connell; Michael B Madson; Elaine Fontenot Molaison; Kathy Yadrick
Journal:  Health Educ Behav       Date:  2014-07-01

5.  Interventions to promote physical activity and dietary lifestyle changes for cardiovascular risk factor reduction in adults: a scientific statement from the American Heart Association.

Authors:  Nancy T Artinian; Gerald F Fletcher; Dariush Mozaffarian; Penny Kris-Etherton; Linda Van Horn; Alice H Lichtenstein; Shiriki Kumanyika; William E Kraus; Jerome L Fleg; Nancy S Redeker; Janet C Meininger; Joanne Banks; Eileen M Stuart-Shor; Barbara J Fletcher; Todd D Miller; Suzanne Hughes; Lynne T Braun; Laurie A Kopin; Kathy Berra; Laura L Hayman; Linda J Ewing; Philip A Ades; J Larry Durstine; Nancy Houston-Miller; Lora E Burke
Journal:  Circulation       Date:  2010-07-12       Impact factor: 29.690

6.  In the Footsteps of Wilbur Olin Atwater: The Atwater Lecture for 2019.

Authors:  George A Bray
Journal:  Adv Nutr       Date:  2020-05-01       Impact factor: 8.701

7.  Markers of dietary protein intake are associated with successful weight loss in the POUNDS Lost trial.

Authors:  G A Bray; D H Ryan; W Johnson; C M Champagne; C M Johnson; J Rood; D A Williamson; F M Sacks
Journal:  Clin Obes       Date:  2017-03-24

Review 8.  Predictive Mathematical Models of Weight Loss.

Authors:  Diana M Thomas; Michael Scioletti; Steven B Heymsfield
Journal:  Curr Diab Rep       Date:  2019-08-31       Impact factor: 4.810

9.  Using mHealth technology to enhance self-monitoring for weight loss: a randomized trial.

Authors:  Lora E Burke; Mindi A Styn; Susan M Sereika; Molly B Conroy; Lei Ye; Karen Glanz; Mary Ann Sevick; Linda J Ewing
Journal:  Am J Prev Med       Date:  2012-07       Impact factor: 5.043

10.  Use of a computerized tracking system to monitor and provide feedback on dietary goals for calorie-restricted diets: the POUNDS LOST study.

Authors:  Stephen D Anton; Eric LeBlanc; H Raymond Allen; Christy Karabetian; Frank Sacks; George Bray; Donald A Williamson
Journal:  J Diabetes Sci Technol       Date:  2012-09-01
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