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A Risk Analysis Model of the Relationship Between Beverage Consumption from School Vending Machines and Risk of Adolescent Overweight

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  • Richard A. Forshee
  • Maureen L. Storey
  • Michael E. Ginevan

Abstract

Risk analysis is a widely used tool to understand problems in food safety policy, but it is seldom applied to nutrition policy. We propose that risk analysis be applied more often to inform debates on nutrition policy, and we conduct a risk assessment of the relationship of regular carbonated soft drink (RCSD) consumption in schools and body mass index (BMI) as a case study. Data for RCSD consumption in schools were drawn from three data sets: the Continuing Survey of Food Intake by Individuals 1994–1996, 1998 (CSFII), the National Health and Nutrition Examination Survey 1999–2000 (NHANES), and the National Family Opinion (NFO) WorldGroup Share of Intake Panel (SIP) study. We used the largest relationship between RCSD and BMI that was published by prospective observational studies to characterize the maximum plausible relationship in our study. Consumption of RCSD in schools was low in all three data sets, ranging from 15 g/day in NFO‐SIP to 60 g/day in NHANES. There was no relationship between RCSD consumption from all sources and BMI in either the CSFII or the NHANES data. The risk assessment showed no impact on BMI by removing RCSD consumption in school. These findings suggest that focusing adolescent overweight prevention programs on RCSD in schools will not have a significant impact on BMI.

Suggested Citation

  • Richard A. Forshee & Maureen L. Storey & Michael E. Ginevan, 2005. "A Risk Analysis Model of the Relationship Between Beverage Consumption from School Vending Machines and Risk of Adolescent Overweight," Risk Analysis, John Wiley & Sons, vol. 25(5), pages 1121-1135, October.
    • Handle: RePEc:wly:riskan:v:25:y:2005:i:5:p:1121-1135
    DOI: 10.1111/j.1539-6924.2005.00667.x
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    References listed on IDEAS

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    1. Dupont, William D. & Plummer Jr., W. Dale, 2003. "Density Distribution Sunflower Plots," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i03).
    2. Anders Alexandersson, 2004. "Graphing confidence ellipses: An update of ellip for Stata 8," Stata Journal, StataCorp LP, vol. 4(3), pages 242-256, September.
    3. Carriquiry, Alicia L. & Jensen, Helen H. & Guenther, Patricia M. & Fuller, Wayne A., 1992. "Estimating Usual Intake Distributions," Staff General Research Papers Archive 456, Iowa State University, Department of Economics.
    4. Judy S. LaKind & Michael E. Ginevan & Daniel Q. Naiman & Anthony C. James & Roger A. Jenkins & Michael L. Dourson & Susan P. Felter & Carol G. Graves & Robert G. Tardiff, 1999. "Distribution of Exposure Concentrations and Doses for Constituents of Environmental Tobacco Smoke," Risk Analysis, John Wiley & Sons, vol. 19(3), pages 375-390, June.
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    Cited by:

    1. Dobromir Stoyanov, 2021. "The role of vending channels in marketing: A systematic review and taxonomy of studies," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(2), pages 654-679, June.

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