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Exploring changes in middle-school student lunch consumption after local school food service policy modifications

Published online by Cambridge University Press:  02 January 2007

Karen Weber Cullen*
Affiliation:
Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, 1100 Bates Street, Houston, TX 77030-2600, USA
Kathy Watson
Affiliation:
Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, 1100 Bates Street, Houston, TX 77030-2600, USA
Issa Zakeri
Affiliation:
Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, 1100 Bates Street, Houston, TX 77030-2600, USA
Katherine Ralston
Affiliation:
Economic Research Service, US Department of Agriculture, 1800 M Street NW Room N2183, Washington, DC 20036-5831, USA
*
*Corresponding author: Email [email protected]
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Abstract

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Objective

This study assessed the impact of changes in school food policy on student lunch consumption in middle schools

Methods

Two years of lunch food records were collected from students at three middle schools in the Houston, Texas area. During the first year, no changes occurred in the school food environment. After that school year was completed, chips and dessert foods were removed from the snack bars of all schools by the Food Service Director. Students recorded the amount and source of food and beverage items consumed. Point-of-service purchase machines provided a day-by-day electronic data file with food and beverage purchases from the snack bars during the 2-year period. Independent t-tests and time series analyses were used to document the impact of the policy change on consumption and sales data between the two years

Results

In general, student consumption of sweetened beverages declined and milk, calcium, vitamin A, saturated fat and sodium increased after the policy change. Snack chips consumption from the snack bar declined in year 2; however, consumption of snack chips and candy from vending increased and the number of vending machines in study schools doubled during the study period. Ice cream sales increased significantly in year 2

Conclusions

Policy changes on foods sold in schools can result in changes in student consumption from the targeted environments. However, if all environments do not make similar changes, compensation may occur

Type
Research Article
Copyright
Copyright © The Authors 2006

References

1Devaney, B, Gordon, A, Burghardt, J. The School Nutrition Dietary Assessment Study: Dietary Intakes of Program Participants and Nonparticipants. Princeton, NJ: Mathematica Policy Research Inc., 1993.Google Scholar
2Gordon, AR, Devaney, BL, Burghardt, JA. Dietary effects of the National School Lunch Program and the School Breakfast Program. American Journal of Clinical Nutrition 1995; 61: 221S–31S.CrossRefGoogle ScholarPubMed
3Hedley, AA, Ogden, CL, Johnson, CL, Carroll, MD, Curtin, LR, Flegal, KM. Prevalence of overweight and obesity among US children, adolescents, and adults, 1999–2002. Journal of the American Medical Association 2004; 291: 2847–50.CrossRefGoogle ScholarPubMed
4US General Accounting Office (GAO). Competitive Foods are Available in Many Schools; Actions Taken to Restrict Them Differ by State and Locality. Report GAO-04-673 Washington, DC: GAO 2004.Google Scholar
5Bandura, A. Social Foundations for Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ:Prentice Hall, 1986.Google Scholar
6Perry, CL, Bishop, DB, Taylor, GL, Davis, M, Story, M, Gray, C, et al. A randomized school trial of environmental strategies to encourage fruit and vegetable consumption among children. Health Education & Behavior 2004; 31: 6576.CrossRefGoogle ScholarPubMed
7US Department of Agriculture (USDA). National School Lunch Program: Nutrition Standards for Lunches and Menu Planning Methods (7 CFR 210.10). Report 63 FR 9721. Alexandria, VA: USDA, Food and Nutrition Service, 1997.Google Scholar
8Fox, MK, Crepinsek, MK, Connor, P, Battaglia, M. (SNDA) School Nutrition Dietary Assessment Study – II (Summary Findings). Report CN-01-SNDAII. Alexandria, VA: US Department of Agriculture, Food and Nutrition Service, Office of Analysis, Nutrition and Evaluation, 04 2001.Google Scholar
9French, SA, Story, M, Fulkerson, JA, Gerlach, AF. Food environment in secondary schools: a la carte, vending machines, and food policies and practices. American Journal of Public Health 2003; 93: 1161–7.CrossRefGoogle Scholar
10Kubik, MY, Lytle, LA, Hannan, PJ, Perry, CL, Story, M. The association of the school food environment with dietary behaviors of young adolescents. American Journal of Public Health 2003; 93: 1168–73.CrossRefGoogle ScholarPubMed
11Ho, C, Gould, RA, Jensen, LN, Kiser, SJ, Mozar, A, Jensen, JB. Evaluation of the nutrient content of school, snack and vending lunch of junior high students. School Food Service Research Review 1991; 15: 8590.Google Scholar
12Gleason, P, Suitor, C. Children's Diets in the Mid-1990's: Dietary Intake and Its Relationship with School Meal Participation. Repor CN-01-CD1. Alexandria, VA: US Department of Agriculture, Food and Nutrition Service, Office of Analysis, Nutrition and Evaluation, 01 2001.Google Scholar
13Cullen, KW, Eagan, J, Baranowski, T, Owens, E, de Moor, C. Effect of a la carte and snack bar foods at school on children's lunchtime intake of fruits and vegetables. Journal of the American Dietetic Association 2000; 100: 1482–6.CrossRefGoogle Scholar
14Cullen, KW, Zakeri, I. Fruits, vegetables, milk, and sweetened beverages consumption and access to a la carte/snack bar meals at school. American Journal of Public Health 2004; 94: 463–7.CrossRefGoogle Scholar
15Malloy, C, Johanson, J, Wootan, M. The School Foods Tool Kit. Washington, DC: Center for Science in the Public Interest, 2003.Google Scholar
16Cullen, KW, Thompson, VJ, Watson, K, Nicklas, T. Marketing fruit and vegetables to middle school students: formative assessment results. Journal of Child Nutrition & Management 2005; 29(2): Available at http://d.cs.schoolnutrition.org/newsroom/jcnm/05fall/cullen/index.aspGoogle Scholar
17Baxter, SD, Thompson, WO, Davis, HC, Johnson, MH. Impact of gender, ethnicity, meal component, and time interval between eating and reporting on accuracy of fourth-graders’ self-reports of school lunch. Journal of the American Dietetic Association 1997; 97: 1293–8.CrossRefGoogle ScholarPubMed
18Domel, SB, Baranowski, T, Davis, H, Leonard, SB, Riley, P, Baranowski, J. Fruit and vegetable food frequencies by fourth and fifth grade students: validity and reliability. Journal of the American College of Nutrition 1994; 13: 17.CrossRefGoogle ScholarPubMed
19Cullen, KW, Himes, JH, Baranowski, T, Pettit, J, Stevens, M, Slawson, DL, et al. Validity and reliability of a behavior-based food coding system for measuring fruit, 100% fruit juice, vegetable, and sweetened beverage consumption: results from the Girls Health Enrichment Multisite Studies. Preventive Medicine 2004; 38(Suppl): s24–33.CrossRefGoogle ScholarPubMed
20Box, GEP, Jenkins, GM, Reinsel, GC. Time Series Analysis, Forecasting, and Control. Englewood Cliffs, NJ: Prentice Hall, 1994.Google Scholar
21Box, GEP, Tiao, GC. ARIMA: intervention model for ozone data. Journal of the American Statistical Association 1975; 70: 70–5.CrossRefGoogle Scholar
22McCleary, R, Hay, JRA. Applied Time Series Analysis for Social Sciences. Newbury Park, CA: Sage, 1980.Google Scholar
23Meyer, M, Conklin, M, Lewis, J, Marshak, J, Cousin, S, et al. Barriers to healthy nutrition environment in public school middle grades. Journal of Child Nutrition & Management 2001; 25: 6671.Google Scholar
24Cohen, R, Ramani, AK, Nogales, R, Ohls, J, Sinclair, M. Measuring Competitive Foods in Schools: A Point of Sales Approach. Report CN-04-CFMPR. Alexandria, VA: US Department of Agriculture, Food and Nutrition Service, Office of Analysis, Nutrition and Evaluation, 2004.Google Scholar