Literature DB >> 10431937

How can obese weight controllers minimize weight gain during the high risk holiday season? By self-monitoring very consistently.

K N Boutelle1, D S Kirschenbaum, R C Baker, M E Mitchell.   

Abstract

This study examined the efficacy of augmenting standard weekly cognitive-behavioral treatment for obesity with a self-monitoring intervention during the high risk holiday season. Fifty-seven participants in a long-term cognitive-behavioral treatment program were randomly assigned to self-monitoring intervention or comparison groups. During 2 holiday weeks (Christmas-New Years), the intervention group's treatment was supplemented with additional phone calls and daily mailings, all focused on self-monitoring. As hypothesized, the intervention group self-monitored more consistently and managed their weight better than the comparison group during the holidays. However, both groups struggled with weight management throughout the holidays. These findings support the critical role of self-monitoring in weight control and demonstrate the benefits of a low-cost intervention for assisting weight controllers during the holidays.

Entities:  

Mesh:

Year:  1999        PMID: 10431937     DOI: 10.1037//0278-6133.18.4.364

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


  39 in total

Review 1.  Self-monitoring in weight loss: a systematic review of the literature.

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

2.  Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program.

Authors:  Bethany A Yon; Rachel K Johnson; Jean Harvey-Berino; Beth Casey Gold; Alan B Howard
Journal:  J Behav Med       Date:  2007-01-10

3.  Using instrumented paper diaries to document self-monitoring patterns in weight loss.

Authors:  Lora E Burke; Susan M Sereika; Edvin Music; Melanie Warziski; Mindi A Styn; Arthur Stone
Journal:  Contemp Clin Trials       Date:  2007-07-25       Impact factor: 2.226

4.  Holiday weight management by successful weight losers and normal weight individuals.

Authors:  Suzanne Phelan; Rena R Wing; Hollie A Raynor; Julia Dibello; Kim Nedeau; Wanfeng Peng
Journal:  J Consult Clin Psychol       Date:  2008-06

Review 5.  Behavioral management of obesity.

Authors:  Craig A Johnston; Chermaine Tyler; John P Foreyt
Journal:  Curr Atheroscler Rep       Date:  2007-12       Impact factor: 5.113

6.  Stepped-care in obesity treatment: matching treatment intensity to participant performance.

Authors:  Robert A Carels; Kathleen M Young; Nova Hinman; Amanda Gumble; Afton Koball; Marissa Wagner Oehlhof; Lynn Darby
Journal:  Eat Behav       Date:  2012-01-24

7.  A pilot study evaluating a minimal contact telephone and mail weight management intervention for primary care patients.

Authors:  K N Boutelle; P Dubbert; M Vander Weg
Journal:  Eat Weight Disord       Date:  2005-03       Impact factor: 4.652

8.  Adherence and weight loss outcomes associated with food-exercise diary preference in a military weight management program.

Authors:  Laura E Shay; Diane Seibert; Dorraine Watts; Tracy Sbrocco; Claire Pagliara
Journal:  Eat Behav       Date:  2009-07-16

9.  A randomized controlled trial to prevent excessive gestational weight gain and promote postpartum weight loss in overweight and obese women: Health In Pregnancy and Postpartum (HIPP).

Authors:  Sara Wilcox; Jihong Liu; Cheryl L Addy; Gabrielle Turner-McGrievy; Judith T Burgis; Ellen Wingard; Alicia A Dahl; Kara M Whitaker; Lara Schneider; Alycia K Boutté
Journal:  Contemp Clin Trials       Date:  2018-01-31       Impact factor: 2.226

10.  Web-based weight loss in primary care: a randomized controlled trial.

Authors:  Gary G Bennett; Sharon J Herring; Elaine Puleo; Evelyn K Stein; Karen M Emmons; Matthew W Gillman
Journal:  Obesity (Silver Spring)       Date:  2009-08-20       Impact factor: 5.002

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.