Health> Vol.4 No.12A, December 2012

A novel algorithm for describing population level trends in body weight

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ABSTRACT

Modeling population trends and predicting the impact of interventions to address obesity requires algorithms for predicting body weight status in the future. Predictions can be based on statistical consideration of different risk factors, or be an extrapolation of past and current trends. Despite the well known correlation between previous and future weight, individual weight history has not been used to predict future trends. We developed a novel population-level model to examine trends of different classes of body weight considering individual body weight histories from the National Longitudinal Survey of Youth (NLSY79). A subset of data used to assess the predictive ability of our proposed model with actual data. Our results confirm the importance of weight history in determining future weight status. Over 80% of individuals in a specific weight category (normal, overweight, obese) will stay in the same weight category after two years (except overweight females). The length of body weight stability was also found to be important. The probability of remaining normal weight increased with longer prior periods of being at a normal weight over 18 years (0.834 to 0.893). We demonstrate that an individual’s most probable weight class in the future is consistent with their maximal historical weight class.

Cite this paper

Alimadad, A. , Matteson, C. , Hare, W. , Karanfil, O. and Finegood, D. (2012) A novel algorithm for describing population level trends in body weight. Health, 4, 1514-1521. doi: 10.4236/health.2012.412A217.

References

[1] Mokdad, A.H., Marks, J.S., Stroup, D.F. and Gerberding J.L. (2004) Actual causes of death in the United States, 2000. American Medical Association, 291, 1238-1245.
[2] Flegal, K.M., Carroll, M.D., Ogden, C.L. and Johnson C.L. (2002) Prevalence and trends in obesity among US adults, 1999-2000. American Medical Association, 288, 1723-1727.
[3] Wang, Y. and Lobstein, T. (2006) Worldwide trends in childhood over-weight and obesity. International Journal of Pediatric Obesity, 1, 11-25. doi:10.1080/17477160600586747
[4] Basu, A. (2010) Fore-casting distribution of body mass index in the United States: Is there more room for growth? Medical Decision Making, 30, E1-E11. doi:10.1177/0272989X09351749
[5] Huang, E.S. and Basu, A. (2009) Projecting the future diabetes population size and related costs for the US. Diabetes Care, 32, 2225-2229. doi:10.2337/dc09-0459
[6] Wang, Y., Beydoun, M.A., Liang, L., Caballero, B. and Kumanyika, S.K. (2008) Will all Americans become overweight or obese? Estimating the progression and cost of the US obesity Epidemic. Obesity, 16, 2323-2330. doi:10.1038/oby.2008.351
[7] Brown, M., Byatt, T., Marsh, T. and McPherson, K. (2009) Obesity trends for children aged 2 - 11, analysis from the health survey for England 1993-2007. Report by the National Heart Forum.
[8] Huang, E.S., Basu, A., O’Grady, M.J. and Capretta, J.C. (2009) Using clinical information to project federal health care spending. Health affairs, 28, w978-w990. doi:10.1377/hlthaff.28.5.w978
[9] Ortegon, M.M., Redekop, W.K. and Niessen, L.W. (2004) Cost effectiveness of prevention and treatment of the diabetic foot. Diabetes Care, 27, 901-907. doi:10.2337/diacare.27.4.901
[10] Van Baal, P.H.M., Polder, J.J., De Wit, G.A., Hoogenveen, R.T., Feenstra, T.L., Boshuizen, H.C., Engelfriet, P.M. and Brouwer, W.B.F. (2008) Lifetime medical costs of obesity: Prevention no cure for increasing health expenditure. PLoS Medicine, 5, e29. doi:10.1371/journal.pmed.0050029
[11] Miller, F.J.W., Bille-wicz, W.Z. and Thomson, A.M. (1972) Growth from birth to adult life of 442 Newcastle upon Tyne children. British Journal of Prevention and Social Medicine, 26, 224-230
[12] Stark, O., Atkins, E., Wolff, O.H. and Douglas, J.W.B. (1981) Longitu-dinal study of obesity in the National Survey of Health and Development. British Medical Journal, 283, 13-17. doi:10.1136/bmj.283.6283.13
[13] Abraham, S. and Nordieck, M. (1960) Relationship of excess weight in children and adults. Public Health Reports, 75, 263-273. doi:10.2307/4590775

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