Competitive Food Sales in Schools and Childhood Obesity: A Longitudinal Study

First Published August 8, 2011 Research Article Find in PubMed

Authors

1
 
Pennsylvania State University, University Park, USA
by this author
, 1
 
Pennsylvania State University, University Park, USA
by this author
First Published Online: August 8, 2011

The vast majority of American middle schools and high schools sell what are known as “competitive foods,” such as soft drinks, candy bars, and chips, to children. The relationship between consumption of sugar-sweetened drinks and snacks and childhood obesity is well established, but it remains unknown whether competitive food sales in schools are related to unhealthy weight gain among children. The authors examined this association using data from the Early Childhood Longitudinal Study, Kindergarten Class. Employing fixed effects models and a natural experimental approach, they found that children’s weight gain between fifth and eighth grades was not associated with the introduction or the duration of exposure to competitive food sales in middle school. Also, the relationship between competitive foods and weight gain did not vary significantly by gender, race/ethnicity, or family socioeconomic status, and it remained weak and insignificant across several alternative model specifications. One possible explanation is that children’s food preferences and dietary patterns are firmly established before adolescence. Also, middle school environments may dampen the effects of competitive food sales because they so highly structure children’s time and eating opportunities.

Allison, Paul D. 2005. Fixed Effects Regression Models for Longitudinal Data Using SAS. Cary, NC: SAS Institute.
Google Scholar
Anderson, Patricia M., Butcher, Kristin F. 2006. “Reading, Writing, and Refreshments: Are School Finances Contributing to Children’s Obesity?” Journal of Human Resources 41:467-94.
Google Scholar | Crossref
Anderson, Patricia M., Butcher, Kristin F., Levine, Phillip B. 2003. “Economic Perspectives on Childhood Obesity.” Economic Perspectives 27:30-48.
Google Scholar
Angrist, Joshua D., Krueger, Alan B. 2001. “Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments.” Journal of Economic Perspectives 15(4): 69-85.
Google Scholar | Crossref | ISI
Angrist, Joshua D., Pischke, Jorn-Steffen. 2009. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton, NJ: Princeton University Press.
Google Scholar | Crossref
Barber, Brian K., Olsen, Joseph A. 2004. “Assessing the Transitions to Middle and High School.” Journal of Adolescent Research 19(1): 3-30.
Google Scholar | SAGE Journals | ISI
Collins, C. E., Watson, Jane, Burrows, T. 2010. “Measuring Dietary Intake in Children and Adolescents in the Context of Overweight and Obesity.” International Journal of Obesity 34:1103-15.
Google Scholar | Crossref
Committee on School Health . 2004. “Soft Drinks in Schools.” Pediatrics 113:152-54.
Google Scholar | Crossref | Medline
Cullen, Karen Webster, Ash, Danielle M., Warneke, Carla, de Moor, Carl. 2002. “Intake of Soft Drinks, Fruit-flavored Beverages, and Fruits and Vegetables by Children in Grades 4 through 6.” American Journal of Public Health 92:1475-78.
Google Scholar | Crossref | Medline
Cullen, Karen Webster, Zakeri, Issa. 2004. “Fruits, Vegetables, Milk, and Sweetened Beverages Consumption and Access to à la Carte/Snack Bar Meals at School.” American Journal of Public Health 94:463-67.
Google Scholar | Crossref | Medline
Datar, Ashlesha, Nicosia, Nancy. 2009. “Junk Food in Schools and Childhood Obesity.” Working Paper No. 672, RAND, Santa Monica, CA.
Google Scholar
Davison, K. Krahnstoever, Birch, L. Lipps. 2002. “Obesigenic Families: Parents’ Physical Activity and Dietary Intake Patterns Predict Girls’ Risk of Overweight.” International Journal of Eating Disorders 26:1186-93.
Google Scholar
Davison, Kirsten Krahnstoever, Francis, Lori A., Birch, Leann L. 2005. “Reexamining Obesigenic Families: Parents’ Obesity-related Behaviors Predict Girls’ Change in BMI.” Obesity Research 13:1980-90.
Google Scholar | Crossref | Medline
Downey, Douglas B., von Hippel, Paul T., Broh, Beckett. 2004. “Are Schools the Great Equalizer? Cognitive Inequality during the Summer Months and the School Year.” American Sociological Review 69:613-35.
Google Scholar | SAGE Journals | ISI
Downey, Douglas B., von Hippel, Paul T., Hughes, Melanie. 2008. “Are ‘Failing’ Schools Really Failing? Using Seasonal Comparison to Evaluate School Effectiveness.” Sociology of Education 81:242-70.
Google Scholar | SAGE Journals
Fiorito, Laura M., Marini, Michelle, Mitchell, Diane C., Smiciklas-Wright, Helen, Birch, Leann L. 2010. “Girls’ Early Sweetened Carbonated Beverage Intake Predicts Different Patterns of Beverage and Nutrient Intake across Childhood and Adolescence.” Journal of the American Dietetic Association 110:543-50.
Google Scholar | Crossref | Medline
Fisher, Jennifer O., Birch, Leann L. 1999. “Restricting Access to Foods and Children’s Eating.” Appetite 32:405-19.
Google Scholar | Crossref | Medline | ISI
Fletcher, Jason M., Frisvold, David, Tefft, Nathan. 2010. “Taxing Soft Drinks and Restricting Access to Vending Machines to Curb Child Obesity.” Health Affairs 29:1-8.
Google Scholar | Crossref
French, Simone A., Lin, Biing-Hwan, Guthrie, Joanne F. 2003. “National Trends in Soft Drink Consumption among Children and Adolescents Age 6 to 17 Years: Prevalence, Amounts, and Sources, 1977/1978 to 1994/1998.” Journal of the American Dietetic Association 103:1326-31.
Google Scholar | Crossref | Medline
Guinn, Caroline H., Baxter, Suzanne D., Royer, Julie A., Hardin, James W., Mackelprang, Alyssa J. 2010. “Fourth-grade Children’s Dietary Recall Accuracy for Energy Intake at School Meals Differs by Social Desirability and Body Mass Index Percentile in a Study Concerning Retention Interval.” Journal of Health Psychology 15:505-14.
Google Scholar | SAGE Journals | ISI
Haines, Pamela S., Hama, Mary Y., Guilkey, David K., Popkin, Barry M. 2003. “Weekend Eating in the United States Is Linked with Greater Energy, Fat, and Alcohol Intake.” Obesity Research 11:945-49.
Google Scholar | Crossref | Medline
Harnack, L., Stang, J., Story, M. 1999. “Soft Drink Consumption among US Children and Adolescents: Nutritional Consequences.” Journal of the American Dietetic Association 99:436-41.
Google Scholar | Crossref | Medline
James, J., Kerr, D. 2005. “Prevention of Childhood Obesity by Reducing Soft Drinks.” International Journal of Obesity 29:S54-57.
Google Scholar | Crossref
Johanson, Joy, Smith, Jason, Wootan, Margo G. 2006. Raw Deal: School Beverage Contracts Less Lucrative Than They Seem. Washington, DC: Center for Science in the Public Interest.
Google Scholar
Johnson, David R., Young, Rebekah. Forthcoming. “Towards Best Practices in Analyzing Datasets with Missing Data: Comparisons and Recommendations.” Journal of Marriage and Family.
Google Scholar
Johnston, Lloyd D., Delva, Jorge, O’Malley, Patrick M. 2007. “Soft Drink Availability, Contracts, and Revenues in American Secondary Schools.” American Journal of Preventive Medicine 33(4S):S209-25.
Google Scholar | Crossref
Kropski, Jonathan A., Keckley, Paul H., Jensen, Gordon L. 2008. “School-based Obesity Prevention Programs: An Evidence-based Review.” Obesity 16:1009-18.
Google Scholar | Crossref | Medline | ISI
Kuczmarski, Robert J., Ogden, Cynthia L., Guo, Shumei S. 2002. “2000 CDC Growth Charts for the United States: Methods and Development.” National Center for Health Statistics . Vital Health Statistics 11(246).
Google Scholar
Larson, Nicole, Story, Mary. 2010. “Are ‘Competitive Foods’ Sold at School Making Our Children Fat?” Health Affairs 29:430-35.
Google Scholar | Crossref
Ludwig, David S., Peterson, Karen E., Gortmaker, Steven L. 2001. “Relation between Consumption of Sugar-sweetened Drinks and Childhood Obesity: A Prospective, Observational Analysis.” Lancet 357:505-8.
Google Scholar | Crossref | Medline | ISI
Malik, Vasanti S., Schulze, Matthias B., Hu, Frank B. 2006. “Intake of Sugar-sweetened Beverages and Weight Gain: A Systematic Review.” American Journal of Clinical Nutrition 84:274-88.
Google Scholar | Crossref | Medline | ISI
Moore, Graham F., Tapper, Katy, Moore, Laurence, Murphy, Simon. 2010. “Cognitive, Behavioral, and Social Factors Are Associated with Bias in Dietary Questionnaire Self-reports by Schoolchildren Aged 9 to 11 Years.” Journal of the American Dietetic Association 108:1865-73.
Google Scholar | Crossref
National Center for Health Statistics . 2004. Prevalence of Overweight among Children and Adolescents: United States, 1999-2002. Washington, DC: Center for Disease Control.
Google Scholar
Nestle, Marion . 2000. “Soft Drink ‘Pouring Rights’: Marketing Empty Calories to Children.” Public Health Reports 115:308-19.
Google Scholar | Crossref | Medline
Neumark-Sztainer, D., French, S. A., Hannan, P. J., Story, M., Fulkerson, J. A. 2005. “School Lunch and Snacking Patterns among High School Students: Associations with School Food Environments and Policies.” International Journal of Behavioral Nutrition and Physical Activity 2:14.
Google Scholar | Crossref | Medline
O’Connor, Teresia M., Yang, Su-Jau, Nicklas, Theresa A. 2006. “Beverage Intake among Preschool Children and Its Effect on Weight Status.” Pediatrics 118:e1010-8.
Google Scholar | Crossref | Medline | ISI
Ogden, Cynthia L., Carroll, Margaret D., Curtin, Lester R., Lamb, Molly M., Flegal, Katherine M. 2010. “Prevalence of High Body Mass Index in US Children and Adolescents, 2007-2008.” Journal of the American Medical Association 303:242-49.
Google Scholar | Crossref | Medline | ISI
Price, James, Murnan, Judy, Moore, Bradene. 2006. “Soft Drink Vending Machines in Schools: A Clear and Present Danger.” American Journal of Health Education 37:306-14.
Google Scholar | Crossref
Royston, P. 2007. “Multiple Imputation of Missing Values: Further Update of ICE, with an Emphasis on Interval Censoring.” Stata Journal 7:445-64.
Google Scholar | SAGE Journals | ISI
Rubin, D. B. 2004. Multiple Imputation for Nonresponse in Surveys. Hoboken, NJ: Wiley.
Google Scholar
Rudolph, Karen D., Lambert, Sharon F., Clark, Alyssa G., Kurlakowsky, Kathryn D. 2001. “Negotiating the Transition to Middle School: The Role of Self-Regulatory Processes.” Child Development 72:929-46.
Google Scholar | Crossref | Medline | ISI
Savage, Jennifer S., Fisher, Jennifer Orlet, Birch, Leann L. 2007. “Parental Influence on Eating Behaviors: Conception to Adolescence.” Journal of Law, Medicine, and Ethics 35(1):22-34.
Google Scholar | SAGE Journals
Schwartz, M. B., Novak, S. A., Fiore, S. S. 2009. “The Impact of Removing Snacks of Low Nutritional Value from Middle Schools.” Health Education Behavior 36:999-1011.
Google Scholar | SAGE Journals
Sharma, M. 2006. “School-based Interventions for Childhood and Adolescent Obesity.” Obesity Reviews 7:261-69.
Google Scholar | Crossref | Medline | ISI
Sothern, M. 2004. “Obesity Prevention in Children: Physical Activity and Nutrition.” Nutrition 20:704-8.
Google Scholar | Crossref | Medline | ISI
U.S. Government Accountability Office . 2005. School Meal Programs: Competitive Foods Are Widely Available and Generate Substantial Revenues for Schools. Report No. GA0-05-563. Washington, DC: U.S. Government Accountability Office.
Google Scholar
Van Hook, Jennifer, Baker, Elizabeth, Altman, Claire. 2010. “Does It Begin at School or Home? The Institutional Origins of Overweight among Young Children of Immigrants.” Pp. 205-24 in Immigration, Diversity, and Education, edited by Grigorenko, Elena L., Takanishi, Ruby. New York: Routledge.
Google Scholar
Von Hippel, Paul T. 2007. “Regression with Missing Ys: An Improved Strategy for Analyzing Multiply-imputed Data.” Sociological Methodology 37(1):83-117.
Google Scholar | SAGE Journals | ISI
Von Hippel, Paul T., Powell, Brian, Downey, Douglas B., Rowland, Nicholas J. 2007. “The Effect of School on Overweight in Childhood: Gain in Body Mass Index during the School Year and during Summer Vacation.” American Journal of Public Health 97:696-702.
Google Scholar | Crossref | Medline | ISI
Wansink, Brian . 2006. Mindless Eating—Why We Eat More Than We Think. New York: Bantam-Dell.
Google Scholar
Wansink, Brian, Painter, James E., Lee, Yeon-Kyung. 2006. “The Office Candy Dish: Proximity’s Influence on Estimated and Actual Candy Consumption.” International Journal of Obesity 30:871-75.
Google Scholar | Crossref
Young, Rebekah, Johnson, David R. 2010. “Imputing the Missing Y’s: Implications for Survey Producers and Survey Users.” P. 186 in AAPOR 2010 Conference Abstracts. Retrieved February 24, 2011. (http://www.aapor.org/AM/Template.cfm?Section=65th_Annual_Conference&Template=/CM/ContentDisplay.cfm&ContentID=2385.)
Google Scholar

Access content

To read the fulltext, please use one of the options below to sign in or purchase access.
  • Access Options

    My Account

    Welcome
    You do not have access to this content.

    Chinese Institutions / 中国用户

    Click the button below for the full-text content

    请点击以下获取该全文

    Institutional Access

    does not have access to this content.

    Purchase Content

    24 hours online access to download content

    Research off-campus without worrying about access issues. Find out about Lean Library here


Purchase

SOE-article-ppv for $37.50

Cookies Notification

This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Find out more.
Top