Literature DB >> 16446748

Monitoring weight daily blocks the freshman weight gain: a model for combating the epidemic of obesity.

D A Levitsky1, J Garay, M Nausbaum, L Neighbors, D M Dellavalle.   

Abstract

BACKGROUND: The Tissue Monitoring System (TMS) is an algorithm that estimates changes in body tissue from a series of daily weight measures. It is intended to provide people with a feedback of changes in their tissue weight so they may have a basis for estimating how much they would have to change their intake or expenditure to maintain their weight at a prescribed level. We tested the effectiveness of the TMS to prevent freshmen from gaining weight during their first semester in college.
METHODS: In two similar but independent studies (Fall 2002, 2003), female freshmen college students were given analog bathroom scales and instructed to weigh themselves each morning immediately after rising from bed, then e-mail their weight to our staff. After 7 days, a linear function was performed on the most recent 7 days of the weight-day function for each participant. In the first study, the slope of this function was e-mailed back to the participants. In the second study, the difference between last point and the original weight was determined, using linear regression techniques, converted to calories, and the information was e-mailed back to the participants. Control participants in both studies were weighed at the beginning and the end of the semester.
RESULTS: The untreated controls gained 3.1+/-0.51 kg and 2.0+/-0.65 kg, respectively (P<0.01 for both studies), whereas weight gain of the experimental groups was 0.1+/-0.99 kg and -0.82+/-0.56 kg, values that were not significantly different than zero.
CONCLUSIONS: The TMS appears to be an effective technique to help female college freshmen resist gaining weight in an environment that is conducive to weight gain. These results suggest that the TMS may be a useful method to help curb the slow increase in the prevalence of overweight and obesity that is characteristic of all industrialized societies.

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Mesh:

Year:  2006        PMID: 16446748     DOI: 10.1038/sj.ijo.0803221

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  51 in total

1.  Preventing weight gain in first year college students: an online intervention to prevent the "freshman fifteen".

Authors:  Rachel W Gow; Sara E Trace; Suzanne E Mazzeo
Journal:  Eat Behav       Date:  2009-08-29

2.  [Overweight and obesity in young adults: relevance of job-related changes of exercise on fat, lean body and body mass in students].

Authors:  Wolfgang Kemmler; Matthias Kohl; Michael Bebenek; Simon von Stengel
Journal:  Wien Med Wochenschr       Date:  2015-03-27

Review 3.  Interventions for weight gain prevention during the transition to young adulthood: a review of the literature.

Authors:  Melissa N Laska; Jennifer E Pelletier; Nicole I Larson; Mary Story
Journal:  J Adolesc Health       Date:  2012-04       Impact factor: 5.012

4.  Beliefs about weight gain among young adults: potential challenges to prevention.

Authors:  Jessica Gokee LaRose; Amy A Gorin; Megan M Clarke; Rena R Wing
Journal:  Obesity (Silver Spring)       Date:  2011-07-07       Impact factor: 5.002

5.  Self-weighing frequency is associated with weight gain prevention over 2 years among working adults.

Authors:  Jeffrey J VanWormer; Jennifer A Linde; Lisa J Harnack; Steven D Stovitz; Robert W Jeffery
Journal:  Int J Behav Med       Date:  2012-09

6.  Using an alternate reality game to increase physical activity and decrease obesity risk of college students.

Authors:  Jeanne D Johnston; Anne P Massey; Rickie Lee Marker-Hoffman
Journal:  J Diabetes Sci Technol       Date:  2012-07-01

Review 7.  Weighing the Evidence of Common Beliefs in Obesity Research.

Authors:  Krista Casazza; Andrew Brown; Arne Astrup; Fredrik Bertz; Charles Baum; Michelle Bohan Brown; John Dawson; Nefertiti Durant; Gareth Dutton; David A Fields; Kevin R Fontaine; Steven Heymsfield; David Levitsky; Tapan Mehta; Nir Menachemi; P K Newby; Russell Pate; Hollie Raynor; Barbara J Rolls; Bisakha Sen; Daniel L Smith; Diana Thomas; Brian Wansink; David B Allison
Journal:  Crit Rev Food Sci Nutr       Date:  2015       Impact factor: 11.176

8.  A prospective study of weight gain during the college freshman and sophomore years.

Authors:  Elizabeth E Lloyd-Richardson; Steffani Bailey; Joseph L Fava; Rena Wing
Journal:  Prev Med       Date:  2008-12-24       Impact factor: 4.018

9.  Are standard behavioral weight loss programs effective for young adults?

Authors:  J Gokee-LaRose; A A Gorin; H A Raynor; M N Laska; R W Jeffery; R L Levy; R R Wing
Journal:  Int J Obes (Lond)       Date:  2009-12       Impact factor: 5.095

10.  Does measuring body weight impact subsequent response to eating behavior questions?

Authors:  Carly R Pacanowski; Jeffery Sobal; David A Levitsky; Nancy E Sherwood; Chelsey L Keeler; April M Miller; Ashley R Acosta; Natalie Hansen; Peter L Wang; Sarah R Guilbert; Arianne L Paroly; Michael Commesso; Francoise M Vermeylen
Journal:  J Am Coll Nutr       Date:  2015-03-09       Impact factor: 3.169

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