Literature DB >> 17426316

The efficacy of a technology-based system in a short-term behavioral weight loss intervention.

Kristen M Polzien1, John M Jakicic, Deborah F Tate, Amy D Otto.   

Abstract

OBJECTIVE: The objective was to examine the efficacy of adding a technology-based program to an in-person, behavioral weight loss intervention. RESEARCH METHODS AND PROCEDURES: Fifty-seven subjects (BMI=33.1+/-2.8 kg/m2; age=41.3+/-8.7 years) participated in a 12-week intervention with random assignment to Standard In-Person Behavioral Weight Control Program (SBWP) or Intermittent or Continuous Technology-Based Program (INT-TECH, CON-TECH). SBWP subjects received seven individualized weight loss sessions encouraging dietary and exercise modifications. INT-TECH and CON-TECH subjects received all SBWP components; additionally, these groups used a SenseWear Pro Armband (BodyMedia, Inc.) to monitor energy expenditure and an Internet-based program to monitor eating behaviors. These features were used by INT-TECH subjects during weeks 1, 5, and 9 and CON-TECH subjects weekly throughout the intervention.
RESULTS: Intent-to-treat analysis revealed weight loss of 4.1+/-2.8 kg, 3.4+/-3.4 kg, and 6.2+/-4.0 kg, for SBWP, INT-TECH, and CON-TECH groups, respectively (CON-TECH>INT-TECH, p<or=0.05). DISCUSSION: These results indicate that the technology-based program needs to be used continuously throughout the intervention period to significantly impact weight loss. Future studies should examine the long-term and independent effect of this technology on weight loss, and for whom this intervention format is most effective.

Entities:  

Mesh:

Year:  2007        PMID: 17426316     DOI: 10.1038/oby.2007.584

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  56 in total

1.  BALANCE (Bioengineering Approaches for Lifestyle Activity and Nutrition Continuous Engagement): developing new technology for monitoring energy balance in real time.

Authors:  Deonna C Hughes; Adrienne Andrew; Tamara Denning; Philip Hurvitz; Jonathan Lester; Shirley Beresford; Gaetano Borriello; Barbara Bruemmer; Anne Vernez Moudon; Glen E Duncan
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

Review 2.  A review of efficacious technology-based weight-loss interventions: five key components.

Authors:  Anna Khaylis; Themis Yiaslas; Jessica Bergstrom; Cheryl Gore-Felton
Journal:  Telemed J E Health       Date:  2010-11       Impact factor: 3.536

3.  PREDIRCAM eHealth platform for individualized telemedical assistance for lifestyle modification in the treatment of obesity, diabetes, and cardiometabolic risk prevention: a pilot study (PREDIRCAM 1).

Authors:  Cintia González; Pau Herrero; José M Cubero; José M Iniesta; M Elena Hernando; Gema García-Sáez; Alvaro J Serrano; Iñaki Martinez-Sarriegui; Carmen Perez-Gandia; Enrique J Gómez; Esther Rubinat; Valeria Alcantara; Eulalia Brugués; Ana Chico; Eugenia Mato; Olga Bell; Rosa Corcoy; Alberto de Leiva
Journal:  J Diabetes Sci Technol       Date:  2013-07-01

4.  Changes to dietary intake during a 12-week commercial web-based weight loss program: a randomized controlled trial.

Authors:  M J Hutchesson; C E Collins; P J Morgan; J F Watson; M Guest; R Callister
Journal:  Eur J Clin Nutr       Date:  2013-10-16       Impact factor: 4.016

5.  The current state of lifestyle intervention implementation research: where do we go next?

Authors:  Sherry Pagoto
Journal:  Transl Behav Med       Date:  2011-09       Impact factor: 3.046

6.  Using technology to promote postpartum weight loss in urban, low-income mothers: a pilot randomized controlled trial.

Authors:  Sharon J Herring; Jane F Cruice; Gary G Bennett; Adam Davey; Gary D Foster
Journal:  J Nutr Educ Behav       Date:  2014-07-26       Impact factor: 3.045

Review 7.  The effect of computers for weight loss: a systematic review and meta-analysis of randomized trials.

Authors:  Virginia A Reed; Karen E Schifferdecker; Michael E Rezaee; Sharon O'Connor; Robin J Larson
Journal:  J Gen Intern Med       Date:  2011-07-30       Impact factor: 5.128

8.  Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program.

Authors:  Gabrielle M Turner-McGrievy; Michael W Beets; Justin B Moore; Andrew T Kaczynski; Daheia J Barr-Anderson; Deborah F Tate
Journal:  J Am Med Inform Assoc       Date:  2013-02-21       Impact factor: 4.497

Review 9.  The Impact of Interventions that Integrate Accelerometers on Physical Activity and Weight Loss: A Systematic Review.

Authors:  Adam P Goode; Katherine S Hall; Bryan C Batch; Kim M Huffman; S Nicole Hastings; Kelli D Allen; Ryan J Shaw; Frances A Kanach; Jennifer R McDuffie; Andrzej S Kosinski; John W Williams; Jennifer M Gierisch
Journal:  Ann Behav Med       Date:  2017-02

10.  Objective quantification of physical activity in bariatric surgery candidates and normal-weight controls.

Authors:  Dale S Bond; John M Jakicic; Sivamainthan Vithiananthan; J Graham Thomas; Tricia M Leahey; Harry C Sax; Dieter Pohl; G D Roye; Beth A Ryder; Rena R Wing
Journal:  Surg Obes Relat Dis       Date:  2009-09-10       Impact factor: 4.734

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