Skip to main content
Log in

State Disparities in Time Trends of Adolescent Body Mass Index Percentile and Weight-Related Behaviors in the United States

  • Original Paper
  • Published:
Journal of Community Health Aims and scope Submit manuscript

Abstract

Evidence is conflicting as to whether youth obesity prevalence has reached a plateau in the United States overall. Trends vary by state, and experts recommend exploring whether trends in weight-related behaviors are associated with changes in weight status trends. Thus, our objective was to estimate between-state variation in time trends of adolescent body mass index (BMI) percentile and weight-related behaviors from 2001 to 2007. A time series design combined cross-sectional Youth Risk Behavior Survey data from 272,044 adolescents in 29 states from 2001 to 2007. Self-reported height, weight, sports participation, physical education, television viewing, and daily consumption of 100% fruit juice, milk, and fruits and vegetables were collected. Linear mixed models estimated state variance in time trends of behaviors and BMI percentile. Across states, BMI percentile trends were consistent despite differences in behavioral trends. Boys experienced a modest linear increase in BMI percentile (ß = 0.18, 95% CI: 0.07, 0.30); girls experienced a non-linear increase, as the rate of increase declined over time from 1.02 units in 2001–2002 (95% CI: 0.68, 1.36) to 0.23 units in 2006–2007 (95% CI: −0.09, 0.56). States in which BMI percentile decreased experienced a greater decrease in TV viewing than states where BMI percentile increased. Otherwise, states with disparate BMI percentile trends did not differ with respect to behaviors. Future research should explore the role of other behaviors (e.g., soda consumption), measurement units (e.g., portion size), and societal trends (e.g., urban sprawl) on state and national adiposity trends.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Must, A., & Strauss, R. S. (1999). Risks and consequences of childhood and adolescent obesity. International Journal of Obesity and Related Metabolic Disorders, 23(Suppl 2), S2–S11.

    Article  PubMed  Google Scholar 

  2. World Health Organization. (2000). Obesity: Preventing and managing the global epidemic. World Health Organization technical report series. Geneva: World Health Organization.

    Google Scholar 

  3. Bibbins-Domingo, K., Coxson, P., Pletcher, M. J., Lightwood, J., & Goldman, L. (2007). Adolescent overweight and future adult coronary heart disease. New England Journal of Medicine, 357(23), 2371–2379.

    Article  PubMed  CAS  Google Scholar 

  4. Ogden, C. L., Flegal, K. M., Carroll, M. D., & Johnson, C. L. (2002). Prevalence and trends in overweight among US children and adolescents, 1999–2000. JAMA, 288(14), 1728–1732.

    Article  PubMed  Google Scholar 

  5. Ogden, C. L., Carroll, M. D., Curtin, L. R., Lamb, M. M., & Flegal, K. M. (2010). Prevalence of high body mass index in US children and adolescents, 2007–2008. JAMA, 303(3), 242–249.

    Article  PubMed  CAS  Google Scholar 

  6. Bethell, C., Simpson, L., Stumbo, S., Carle, A. C., & Gombojav, N. (2010). National, state, and local disparities in childhood obesity. Health Affairs, 29(3), 347–356.

    Article  PubMed  Google Scholar 

  7. Singh, G. K., Kogan, M. D., & van Dyck, P. C. (2010). Changes in state-specific childhood obesity and overweight prevalence in the United States from 2003 to 2007. Archives of Pediatrics and Adolescent Medicine, 164(7), 598–607.

    Article  PubMed  Google Scholar 

  8. US Department of Health and Human Services. (2000). Healthy people 2010. Washington, DC: Government Printing Office.

    Google Scholar 

  9. Rokholm, B., Baker, J. L., & Sorensen, T. I. (2010). The levelling off of the obesity epidemic since the year 1999—A review of evidence and perspectives. Obesity Reviews, 11(12), 835–846.

    Article  PubMed  CAS  Google Scholar 

  10. Boehmer, T. K., Brownson, R. C., Haire-Joshu, D., & Dreisinger, M. L. (2007). Patterns of childhood obesity prevention legislation in the United States. Preventing Chronic Disease, 4(3), A56.

    PubMed  Google Scholar 

  11. Ackerson, L. K., Kawachi, I., Barbeau, E. M., & Subramanian, S. V. (2008). Geography of underweight and overweight among women in India: A multilevel analysis of 3204 neighborhoods in 26 states. Economics and Human Biology, 6(2), 264–280.

    Article  PubMed  Google Scholar 

  12. Chaix, B., & Chauvin, P. (2003). Tobacco and alcohol consumption, sedentary lifestyle and overweightness in France: A multilevel analysis of individual and area-level determinants. European Journal of Epidemiology, 18(6), 531–538.

    Article  PubMed  Google Scholar 

  13. Dollman, J., & Pilgrim, A. (2005). Changes in body composition between 1997 and 2002 among South Australian children: Influences of socio-economic status and location of residence. Australian and New Zealand Journal of Public Health, 29(2), 166–170.

    Article  PubMed  Google Scholar 

  14. Ellaway, A., Anderson, A., & Macintyre, S. (1997). Does area of residence affect body size and shape? International Journal of Obesity and Related Metabolic Disorders, 21(4), 304–308.

    Article  PubMed  CAS  Google Scholar 

  15. Moon, G., Quarendon, G., Barnard, S., Twigg, L., & Blyth, B. (2007). Fat nation: Deciphering the distinctive geographies of obesity in England. Social Science and Medicine, 65(1), 20–31.

    Article  PubMed  Google Scholar 

  16. Rami, B., Schober, E., Kirchengast, S., Waldhor, T., & Sefranek, R. (2004). Prevalence of overweight, obesity in male adolescents in Austria between 1985 and 2000. A population based study. Journal of Pediatric Endocrinology and Metabolism, 17(1), 67–72.

    Article  PubMed  CAS  Google Scholar 

  17. Singh, G. K., Kogan, M. D., & van Dyck, P. C. (2008). A multilevel analysis of state and regional disparities in childhood and adolescent obesity in the United States. Journal of Community Health, 33(2), 90–102.

    Article  PubMed  Google Scholar 

  18. Willms, J. D., Tremblay, M. S., & Katzmarzyk, P. T. (2003). Geographic and demographic variation in the prevalence of overweight Canadian children. Obesity Research, 11(5), 668–673.

    Article  PubMed  Google Scholar 

  19. Du, P., Coles, F. B., O’Campo, P., & McNutt, L. A. (2007). Changes in population characteristics and their implication on public health research. Epidemiologic Perspectives & Innovations, 4(6).

  20. Brener, N. D., Kann, L., Kinchen, S. A., et al. (2004). Methodology of the youth risk behavior surveillance system. Morbidity and mortality weekly report. Morbidity and Mortality Weekly Report – Recommendations and Reports, 53(RR-12), 1–13.

  21. Kuczmarski, R. J., Ogden, C. L., Grummer-Strawn, L. M., et al. (2000). CDC growth charts: United States. Advance Data, 314, 1–27.

    PubMed  Google Scholar 

  22. Brener, N. D., McManus, T., Galuska, D. A., Lowry, R., & Wechsler, H. (2003). Reliability and validity of self-reported height and weight among high school students. Journal of Adolescent Health, 32(4), 281–287.

    Article  PubMed  Google Scholar 

  23. Barlow, S. E. (2007). Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: Summary report. Pediatrics, 120(Suppl 4), S164–S192.

    Article  PubMed  Google Scholar 

  24. Freedman, D. S., Wang, J., Thornton, J. C., et al. (2008). Racial/ethnic differences in body fatness among children and adolescents. Obesity (Silver Spring), 16(5), 1105–1111.

    Article  Google Scholar 

  25. McGavock, J. M., Torrance, B., McGuire, K. A., Wozny, P., & Lewanczuk, R. Z. (2007). The relationship between weight gain and blood pressure in children and adolescents. American Journal of Hypertension, 20(10), 1038–1044.

    Article  PubMed  Google Scholar 

  26. Sinaiko, A. R., Donahue, R. P., Jacobs, D. R., Jr., & Prineas, R. J. (1999). Relation of weight and rate of increase in weight during childhood and adolescence to body size, blood pressure, fasting insulin, and lipids in young adults. The Minneapolis children’s blood pressure study. Circulation, 99(11), 1471–1476.

    PubMed  CAS  Google Scholar 

  27. US Bureau of the Census. American Community Survey. Cited February 7, 2011. Available from http://www.census.gov/.

  28. Baum, C. L. (2009). The effects of cigarette costs on BMI and obesity. Health Economics, 18(1), 3–19.

    Article  PubMed  Google Scholar 

  29. Chou, S. Y., Grossman, M., & Saffer, H. (2004). An economic analysis of adult obesity: results from the behavioral risk factor surveillance system. Journal of Health Economics, 23(3), 565–587.

    Article  PubMed  Google Scholar 

  30. Gruber, J., & Frakes, M. (2006). Does falling smoking lead to rising obesity? Journal of Health Economics, 25(2), 183–197. discussion 389–193.

    Article  PubMed  Google Scholar 

  31. Liang, L., Chaloupka, F., Nichter, M., & Clayton, R. (2003). Prices, policies and youth smoking, May 2001. Addiction, 98(Suppl 1), 105–122.

    Article  PubMed  Google Scholar 

  32. The Tax Foundation. (2010). State sales, gasoline, cigarette, and alcohol tax rates by State, 2000–2009. Cited May 21, 2010. Available from http://www.taxfoundation.org/taxdata/show/245.html.

  33. Williams, R. L. (2000). A note on robust variance estimation for cluster-correlated data. Biometrics, 56(2), 645–646.

    Article  PubMed  CAS  Google Scholar 

  34. Murray, D. (1998). Design and analysis of group-randomized trials. New York: Oxford University Press.

    Google Scholar 

  35. Muthen, L. K., & Muthen, B. O. (1998–2007). MPlus user’s guide (5th ed). Los Angeles, CA: Muthen & Muthen.

  36. StataCorp. (2009). Stata statistical software: Release 11. College Station, TX: StataCorp LP.

    Google Scholar 

  37. Ryan, K. W., Card-Higginson, P., McCarthy, S. G., Justus, M. B., & Thompson, J. W. (2006). Arkansas fights fat: Translating research into policy to combat childhood and adolescent obesity. Health Affairs, 25(4), 992–1004.

    Article  PubMed  Google Scholar 

  38. Kipnis, V., Subar, A. F., Midthune, D., et al. (2003). Structure of dietary measurement error: Results of the OPEN biomarker study. American Journal of Epidemiology, 158(1), 14–21.

    Article  PubMed  Google Scholar 

  39. Shephard, R. J. (2003). Limits to the measurement of habitual physical activity by questionnaires. British Journal of Sports Medicine, 37(3), 197–206.

    Article  PubMed  CAS  Google Scholar 

  40. Wang, Y., & Beydoun, M. A. (2007). The obesity epidemic in the United States—Gender, age, socioeconomic, racial/ethnic, and geographic characteristics: A systematic review and meta-regression analysis. Epidemiologic Reviews, 29, 6–28.

    Article  PubMed  CAS  Google Scholar 

  41. Young, L. R., & Nestle, M. (2002). The contribution of expanding portion sizes to the US obesity epidemic. American Journal of Public Health, 92(2), 246–249.

    Article  PubMed  Google Scholar 

  42. Lopez, R., & Hynes, H. P. (2003). Sprawl in the 1990s: Measurement, distribution, and trends. Urban Affairs Review, 38(3), 325–355.

    Article  PubMed  Google Scholar 

  43. Schluter, G., & Lee, C. (1999). Changing food consumption patterns: their effect on the US food system, 1972–1992. Food Review, 22, 35–37.

    Google Scholar 

Download references

Acknowledgments

This study was supported by funding from the National Heart, Lung, and Blood Institute (R21 HL097374) and the Caroline H. and Thomas S. Royster Fellowship of the University of North Carolina—Chapel Hill. We thank the Centers for Disease Control and Prevention, and the state education agencies and health departments that generously shared their Youth Risk Behavior Survey data. We also thank David Murray for his thoughtful comments on this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel R. Taber.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Taber, D.R., Stevens, J., Poole, C. et al. State Disparities in Time Trends of Adolescent Body Mass Index Percentile and Weight-Related Behaviors in the United States. J Community Health 37, 242–252 (2012). https://doi.org/10.1007/s10900-011-9442-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10900-011-9442-y

Keywords

Navigation