Literature DB >> 11678486

Computerized weight loss intervention optimizes staff time: the clinical and cost results of a controlled clinical trial conducted in a managed care setting.

J Wylie-Rosett1, C Swencionis, M Ginsberg, C Cimino, S Wassertheil-Smoller, A Caban, C J Segal-Isaacson, T Martin, J Lewis.   

Abstract

OBJECTIVE: To evaluate the costs and effects of incremental components of a weight-loss program.
DESIGN: A 3-arm, 12-month randomized controlled clinical trial to evaluate 3 incremental levels of intervention intensity. SUBJECTS/
SETTING: The study included 588 individuals (BMI > 25 kg/m2) in a freestanding health maintenance organizalion and achieved an 81% completion rate. INTERVENTION: Using a cognitive behavioral approach for tailoring lifestyle modification goals, the incremental levels of intervention included a) a workbook alone, b) the addition of computerized tailoring using onsite computer kiosks with touch screen monitors, and c) the addition of both computers and staff consultation. MAIN OUTCOME MEASURES: Endpoints included weight parameters, lipid profile, plasma glucose, blood pressure, intervention costs, dietary intake, and physical activity. STATISTICAL ANALYSIS PERFORMED: Study endpoints were analyzed using analysis of variance for normally distributed variables and analysis of covariance to control for any baseline differences. Regression and correlation analysis assessed the relationship between weight loss and other variables.
RESULTS: For the increasing levels of intervention intensity, the mean 12-month weight losses were 2.2, 4.7, and 7.4 pounds, with the respective cost per participant being $12.33, $41.99, and $133.74. The decreases in mean BMIs for these respective intervelation levels were 0.4, 0.9 and 1.2. All groups reported a decrease in energy and fat intake and an increase in blocks walked (P<.01). Intervention variables that correlated with weight loss included more computer log-ons, achieving computer-selected goals, more self-monitoring, increased walking, and decreased energy and fat intake, as well as higher attendance in staff consultation group sessions for that treatment condition. Weight loss correlated with decreases in fasting glucose and blood pressure. APPLICATIONS/
CONCLUSIONS: In a weight-loss program, computers can facilitate selecting behavioral change goals. More frequent usage resulted in greater weight loss. Staff counseling to augment the computer intervention achieved the most weight loss.

Entities:  

Mesh:

Year:  2001        PMID: 11678486     DOI: 10.1016/s0002-8223(01)00284-x

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  26 in total

1.  Estimating software development costs for a patient multimedia education project.

Authors:  A Caban; C Cimino; C Swencionis; M Ginsberg; J Wylie-Rosett
Journal:  J Am Med Inform Assoc       Date:  2001 Mar-Apr       Impact factor: 4.497

Review 2.  Treatment of obesity in primary care practice in the United States: a systematic review.

Authors:  Adam Gilden Tsai; Thomas A Wadden
Journal:  J Gen Intern Med       Date:  2009-06-27       Impact factor: 5.128

Review 3.  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

4.  When it comes to lifestyle recommendations, more is sometimes less: a meta-analysis of theoretical assumptions underlying the effectiveness of interventions promoting multiple behavior domain change.

Authors:  Kristina Wilson; Ibrahim Senay; Marta Durantini; Flor Sánchez; Michael Hennessy; Bonnie Spring; Dolores Albarracín
Journal:  Psychol Bull       Date:  2014-12-22       Impact factor: 17.737

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

Review 6.  Technology-assisted weight loss interventions in primary care: a systematic review.

Authors:  David M Levine; Stella Savarimuthu; Allison Squires; Joseph Nicholson; Melanie Jay
Journal:  J Gen Intern Med       Date:  2014-08-19       Impact factor: 5.128

7.  Triggers of Lapse and Relapse of Diet and Exercise in Behavioral Weight Loss.

Authors:  Charles Swencionis; Lucia Smith-Wexler; Michelle R Lent; Christopher Cimino; C J Segal-Isaacson; Mindy Ginsberg; Arlene Caban-Pocai; Sylvia Wassertheil-Smoller; John L Theodore; Judith Wylie-Rosett
Journal:  Obesity (Silver Spring)       Date:  2019-04-29       Impact factor: 5.002

Review 8.  Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people.

Authors:  L Susan Wieland; Louise Falzon; Chris N Sciamanna; Kimberlee J Trudeau; Suzanne Brodney; Joseph E Schwartz; Karina W Davidson
Journal:  Cochrane Database Syst Rev       Date:  2012-08-15

9.  Weight change, psychological well-being, and vitality in adults participating in a cognitive-behavioral weight loss program.

Authors:  Charles Swencionis; Judith Wylie-Rosett; Michelle R Lent; Mindy Ginsberg; Christopher Cimino; Sylvia Wassertheil-Smoller; Arlene Caban; Carol-Jane Segal-Isaacson
Journal:  Health Psychol       Date:  2012-08-13       Impact factor: 4.267

Review 10.  A review of eHealth interventions for physical activity and dietary behavior change.

Authors:  Gregory J Norman; Marion F Zabinski; Marc A Adams; Dori E Rosenberg; Amy L Yaroch; Audie A Atienza
Journal:  Am J Prev Med       Date:  2007-10       Impact factor: 5.043

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