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



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.


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.


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.


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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  1. Heckerman CL, Brownell KD, Westlake RJ . Self and external monitoring of weight. Psychol Rep 1978; 43 (2): 375–378.

    CAS  Google Scholar 

  2. Buckmaster L, Brownell K . Behavioral modification: the state of the art. In: Frankle R, Rockville YM (eds) Obesity and Weight Control 1988. Aspen Publishers: Rockville, MD.

    Google Scholar 

  3. Cooper Z, Fairburn C . Cognitive-behavioral treatment of obesity. In: Wadden T, Stunkard A (eds) Handbook of Obesity Treatment 2002. The Gulford Press: New York.

    Google Scholar 

  4. Perri A, Nezu A, Viegener B . Improving the Long-Term Management of Obesity: Theory, Research, and Clinical Guidelines. Wiley: New York, 1992.

    Google Scholar 

  5. Wadden T . The treatment of obesity: an overview. In: Stunkard A, Wadden T (eds). Obesity: Theory and Therapy. Raven Press: New York, 1993. pp 197–218.

    Google Scholar 

  6. Klem ML, Wing RR, McGuire MT, Seagle HM, Hill JO . A descriptive study of individuals successful at long-term maintenance of substantial weight loss. Am J Clin Nutr 1997; 66 (2): 239–246.

    CAS  Google Scholar 

  7. Fujimoto K, Sakata T, Etou H, Fukagawa K, Ookuma K, Terada K et al Charting of daily weight pattern reinforces maintenance of weight-reduction in moderately obese patients. Amer J Med Sci, 1992; 303 (3): 145–150.

    CAS  Google Scholar 

  8. Basiotis PP, Thomas RG, Kelsay JL, Mertz W . Sources of variation in energy intake by men and women as determined from one year's daily dietary records. Am J Clin Nutr 1989; 50 (3): 448–453.

    CAS  Google Scholar 

  9. de Castro JM . Weekly rhythms of spontaneous nutrient intake and meal pattern of humans. Physiol Behav 1991; 50 (4): 729–738.

    CAS  Google Scholar 

  10. Beaton GH, Milner J, McGuire V, Feather TE, Little JA . Source of variance in 24-h dietary recall data: implications for nutrition study design and interpretation. Carbohydrate sources, vitamins, and minerals. Am J Clin Nutr 1983; 37 (6): 986–995.

    CAS  Google Scholar 

  11. Bhargava A, Forthofer R, McPherson S, Nichaman M . Estimating the variations and autocorrelations in dietary intakes on weekdays and weekends. Stat Med 1994; 13 (2): 113–126.

    CAS  Google Scholar 

  12. Levitsky DA, Halbmaier CA, Mrdjenovic G . The freshman weight gain: a model for the study of the epidemic of obesity. Int J Obes Relat Metab Disord 2004; 28 (11): 1435–1442.

    CAS  Google Scholar 

  13. Anderson DA, Shapiro JR, Lundgren JD . The freshman year of college as a critical period for weight gain: an initial evaluation. Eat Behav 2003; 4 (4): 363–367.

    Google Scholar 

  14. Hovell MF, Mewborn CR, Randle Y, Fowler-Johnson S . Risk of excess weight gain in university women: a three-year community controlled analysis. Addict Behav 1985; 10 (1): 15–28.

    CAS  Google Scholar 

  15. Butler SM, Black DR, Blue CL, Gretebeck RJ . Change in diet, physical activity, and body weight in female college freshman. Am J Health Behav 2004; 28 (1): 24–32.

    Google Scholar 

  16. Matvienko O, Lewis DS, Schafer E . A college nutrition science course as an intervention to prevent weight gain in female college freshmen. J Nutr Educ Behav 2001; 33 (2): 95–100.

    CAS  Google Scholar 

  17. Hall SM, Bass A, Monroe J . Continued contact and monitoring as follow-up strategies: a long-term study of obesity treatment. Addict Behav 1978; 3 (2): 139–147.

    CAS  Google Scholar 

  18. Baum JG, Clark HB, Sandler J . Preventing relapse in obesity through posttreatment maintenance systems: comparing the relative efficacy of two levels of therapist support. J Behav Med 1991; 14 (3): 287–302.

    CAS  Google Scholar 

  19. Perri MG, McAdoo WG, Spevak PA, Newlin DB . Effect of a multicomponent maintenance program on long-term weight loss. J Consult Clin Psychol 1984; 52 (3): 480–481.

    CAS  Google Scholar 

  20. Perri MG, McAllister DA, Gange JJ, Jordan RC, McAdoo G, Nezu AM . Effects of four maintenance programs on the long-term management of obesity. J Consult Clin Psychol 1988; 56 (4): 529–534.

    CAS  Google Scholar 

  21. Harvey-Berino J, Pintauro S, Buzzell P, DiGiulio M, Casey Gold B, Moldovan C et al Does using the Internet facilitate the maintenance of weight loss? Int J Obes Relat Metab Disord 2002; 26 (9): 1254–1260.

    CAS  Google Scholar 

  22. Harvey-Berino J, Pintauro SJ, Gold EC . The feasibility of using Internet support for the maintenance of weight loss. Behav Modif 2002; 26 (1): 103–116.

    Google Scholar 

  23. National Task Force on the Prevention and Treatment of Obesity. Dieting and the development of eating disorders in overweight and obese adults. Arch Intern Med 2000; 160 (17): 2581–2589.

  24. Katzmarzyk PT . The Canadian obesity epidemic: an historical perspective. Obes Res 2002; 10 (7): 666–674.

    Google Scholar 

  25. Korman L . The growing epidemic of obesity. N J Med Assoc 2002; 99 (7–8): 30–39.

    Google Scholar 

  26. Mokdad AH, Serdula MK, Dietz WH, Bowman BA, Marks JS, Koplan JP . The spread of the obesity epidemic in the United States, 1991–1998. JAMA 1999; 282 (16): 1519–1522.

    CAS  Google Scholar 

  27. Mokdad AH, Serdula MK, Dietz WH, Bowman BA, Marks JS, Koplan JP . The continuing epidemic of obesity in the United States. JAMA 2000; 284 (13): 1650–1651.

    CAS  Google Scholar 

  28. Gross LS, Li L, Ford ES, Liu S . Increased consumption of refined carbohydrates and the epidemic of type 2 diabetes in the United States: an ecologic assessment. Am J Clin Nutr 2004; 79 (5): 774–779.

    CAS  Google Scholar 

  29. Schmitz KH, Jacobs Jr DR, Leon AS, Schreiner PJ, Sternfeld B . Physical activity and body weight: associations over ten years in the CARDIA study. Coronary Artery Risk Development in Young Adults. Int J Obes Relat Metab Disord 2000; 24 (11): 1475–1487.

    CAS  Google Scholar 

  30. Bray GA, Nielsen SJ, Popkin BM . Consumption of high-fructose corn syrup in beverages may play a role in the epidemic of obesity. Am J Clin Nutr 2004; 79 (4): 537–543.

    CAS  Google Scholar 

  31. Young LR, Nestle M . The contribution of expanding portion sizes to the US obesity epidemic. Am J Public Health 2002; 92 (2): 246–249.

    Google Scholar 

  32. Ebbeling CB, Sinclair KB, Pereira MA, Garcia-Lago E, Feldman HA, Ludwig DS . Compensation for energy intake from fast food among overweight and lean adolescents. JAMA 2004; 291 (23): 2828–2833.

    CAS  Google Scholar 

  33. Jeffery RW, French SA . Epidemic obesity in the United States: are fast foods and television viewing contributing? Am J Public Health 1998; 88 (2): 277–280.

    CAS  Google Scholar 

  34. Putnam J, Allshouse J . Food Consumption, Prices, and Expenditures, 1997–97. Statistical Bulletin No. 965. Vol. 965, E.R. Service. United States Department of Agriculture: Washington, DC, 1999. pp 1–196.

  35. USDA. Agricultural Statistics 2004. United States Government Printing Office: Washington, DC, 2004.

  36. Flegal KM, Carroll MD, Ogden CL, Johnson CL . Prevalence and trends in obesity among US adults, 1999–2000. JAMA 2002; 288 (14): 1723–1727.

    Google Scholar 

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Correspondence to D A Levitsky.

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Levitsky, D., Garay, J., Nausbaum, M. et al. Monitoring weight daily blocks the freshman weight gain: a model for combating the epidemic of obesity. Int J Obes 30, 1003–1010 (2006).

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