Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Technical Report
  • Published:

State-level estimates of childhood obesity prevalence in the United States corrected for report bias

Abstract

Background/Objectives:

State-specific obesity prevalence data are critical to public health efforts to address the childhood obesity epidemic. However, few states administer objectively measured body mass index (BMI) surveillance programs. This study reports state-specific childhood obesity prevalence by age and sex correcting for parent-reported child height and weight bias.

Subjects/Methods:

As part of the Childhood Obesity Intervention Cost Effectiveness Study (CHOICES), we developed childhood obesity prevalence estimates for states for the period 2005–2010 using data from the 2010 US Census and American Community Survey (ACS), 2003–2004 and 2007–2008 National Survey of Children’s Health (NSCH) (n=133 213), and 2005–2010 National Health and Nutrition Examination Surveys (NHANES) (n=9377; ages 2–17). Measured height and weight data from NHANES were used to correct parent-report bias in NSCH using a non-parametric statistical matching algorithm. Model estimates were validated against surveillance data from five states (AR, FL, MA, PA and TN) that conduct censuses of children across a range of grades.

Results:

Parent-reported height and weight resulted in the largest overestimation of childhood obesity in males ages 2–5 years (NSCH: 42.36% vs NHANES: 11.44%). The CHOICES model estimates for this group (12.81%) and for all age and sex categories were not statistically different from NHANES. Our modeled obesity prevalence aligned closely with measured data from five validation states, with a 0.64 percentage point mean difference (range: 0.23–1.39) and a high correlation coefficient (r=0.96, P=0.009). Estimated state-specific childhood obesity prevalence ranged from 11.0 to 20.4%.

Conclusion:

Uncorrected estimates of childhood obesity prevalence from NSCH vary widely from measured national data, from a 278% overestimate among males aged 2–5 years to a 44% underestimate among females aged 14–17 years. This study demonstrates the validity of the CHOICES matching methods to correct the bias of parent-reported BMI data and highlights the need for public release of more recent data from the 2011 to 2012 NSCH.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1

Similar content being viewed by others

References

  1. Blondin K, Giles CM, Gortmaker SL, Cradock AL, Resch SC, Wang YC et al Improving state childhood obesity surveillance: a review of current practice and recommendations for change. Prev Chronic Dis 2016; 13: 160060.

  2. Dietz WH . Letter re PedNSS and PNSS: U.S. Centers for Disease Control and Prevention; 2011. Available at: http://www.nj.gov/health/fhs/shapingnj/news/newsletter/documents/Letter%20re%20PedNSS%20and%20PNSS.pdf last accessed 16 June 2016.

  3. Youth Risk Behavior Surveillance System (YRBSS): U.S. Centers for Disease Control and Prevention; 2015. Available at: http://www.cdc.gov/healthyyouth/data/yrbs/index.htm. (last accessed 15 July 2015).

  4. Gosse MA . How accurate is self-reported BMI? Nutr Bull 2014; 39: 105–114.

    Article  Google Scholar 

  5. Brener ND, McManus T, Galuska DA, Lowry R, Wechsler H . Reliability and validity of self-reported height and weight among high school students. J Adolesc Health 2003; 32: 281–287.

    Article  Google Scholar 

  6. Singh GK, Kogan MD, van Dyck PC . Changes in state-specific childhood obesity and overweight prevalence in the United States from 2003 to 2007. Arch Pediatr Adolesc Med 2010; 164: 598–607.

    PubMed  Google Scholar 

  7. Connor Gorber S, Tremblay M, Moher D, Gorber B . A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obes Rev 2007; 8: 307–326.

    Article  CAS  Google Scholar 

  8. Akinbami LJ, Ogden CL . Childhood overweight prevalence in the United States: the impact of parent-reported height and weight. Obesity 2009; 17: 1574–1580.

    Article  Google Scholar 

  9. Weden MM, Brownell PB, Rendall MS, Lau C, Fernandes M, Nazarov Z . Parent-reported height and weight as sources of bias in survey estimates of childhood obesity. Am J Epidemiol 2013; 178: 461–473.

    Article  Google Scholar 

  10. Cawley J, Burkhauser R Beyond BMI: the Value of More Accurate Measures of Fatness and Obesity in Social Science Research. NBER Working Paper Series 2006;Working Paper 12291.

  11. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL et al. Three interventions that reduce childhood obesity are projected to save more than they cost to implement. Health Aff (Millwood) 2015; 34: 1932–1939.

    Article  Google Scholar 

  12. Blumberg SJ, Foster EB, Frasier AM, Satorius J, Skalland BJ, Nysse-Carris KL et al. Design and operation of the National Survey of Children's Health, 2007. Vital Health Stat 1 2012; 55: 1–149.

    Google Scholar 

  13. Blumberg SJ, Olson L, Frankel MR, Srinath LO, Giambo KP . Design and operation of the National Survey of Children's Health, 2003. Vital Health Stat 2005; 1: 1–124.

    Google Scholar 

  14. Arkansas Center for Health Improvement. Assessment of Childhood and Adolescent Obesity in Arkansas: Year Eleven (Fall 2013-Spring 2014). Little Rock, AR, USA, 2014. Available at http://achi.net/Docs/274/ last accessed 16 June 2016.

  15. School Health Services Program, Florida Department of Health. State of Florida 2013–2014 Summary of School Health Services. Tallahassee, FL, USA, 2015. Available at http://www.floridahealth.gov/programs-and-services/childrens-health/school-health/_documents/13_14_county_data_summary.pdf (last accessed 16 June 2016).

  16. School Health Unit, Bureau of Community Health and Prevention, Massachusetts Department of Health. Results from the Body Mass Index Screening in Massachusetts Public School Districts, 2014. Boston, MA, USA, 2015. Available at http://www.mass.gov/eohhs/docs/dph/com-health/school/status-childhood-obesity-2014.pdf last accessed 16 June 2016.

  17. Division of School Health, Bureau of Community Health Services, Pennsylvania Department of Health. Growth Screens/BMI-For-Age Percentiles by Health District and County, 2012–2013 School Year. Harrisburg, PA, USA, 2015. Available at http://www.health.pa.gov/My%20Health/School%20Health/Documents/Mandated%20School%20Health%20Program/Growth%20Screen/2012-13BMIByCounty.pdf (last accessed 16 June 2016).

  18. Division of Policy Planning, and Assessment, Tennessee Department of Health. A summary of Weight Status Data: Tennessee Public Schools, 2012–2013 School Year. Nashville, TN, USA, 2013. Available at https://www.tn.gov/assets/entities/education/attachments/csh_bmi_school_summary_2012-13.pdflast accessed 16 June 2016.

  19. D'Orazio M Statistical Matching and Imputation of Survey Data with StatMatch. StatMatch R package vignette. 2014. Available at: http://cran.r-project.org/web/packages/StatMatch/vignettes/Statistical_Matching_with_StatMatch.pdf.

  20. D'Orazio M, Di Zio M, Scanu M . Statistical Matching: Theory and Practice. Wiley: Chichester, England; Hoboken, NJ, 2006. x, 256 p.

    Book  Google Scholar 

  21. Vantaggi B . Statistical matching of multiple sources: a look through coherence. Int J Approx Reason 2008; 49: 701–711.

    Article  Google Scholar 

  22. Ward ZJ, Long MW, Resch SC, Gortmaker SL, Cradock AL, Giles CM et al. Redrawing the US obesity landscape: bias-corrected estimates of state-specific adult obesity prevalence. PLoS One 2016; 11: e0150735.

    Article  Google Scholar 

  23. Ogden CL, Carroll MD, Kit BK, Flegal KM . Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA 2014; 311: 806–814.

    Article  CAS  Google Scholar 

  24. Kelly AS, Barlow SE, Rao G, Inge TH, Hayman LL, Steinberger J et al. Severe obesity in children and adolescents: identification, associated health risks, and treatment approaches: a scientific statement from the American Heart Association. Circulation 2013; 128: 1689–1712.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by grants from The JPB Foundation, the Robert Wood Johnson Foundation (Grant No. 66284), the Donald and Sue Pritzker Nutrition and Fitness Initiative, and the Centers for Disease Control and Prevention (Grant No. U48DP001946), including the Nutrition and Obesity Policy Research and Evaluation Network. YC Wang is partly supported by a grant from the National Cancer Institute (1R01CA172814-01A1).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M W Long.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Disclaimer

This work is solely the responsibility of the authors and does not represent the official views of the Centers for Disease Control and Prevention or any of the other funders.

Additional information

Supplementary Information accompanies this paper on International Journal of Obesity website

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Long, M., Ward, Z., Resch, S. et al. State-level estimates of childhood obesity prevalence in the United States corrected for report bias. Int J Obes 40, 1523–1528 (2016). https://doi.org/10.1038/ijo.2016.130

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ijo.2016.130

This article is cited by

Search

Quick links