Food waste in a school nutrition program after implementation of new lunch program guidelines
Open accessAbstract
Objective To assess the amount of food waste by meal components according to the new National School Lunch Program guidelines among pre-kindergarten and kindergarten students.Methods For 5 consecutive school days in 1 elementary school, the research team collected school lunch trays and separated meal components into bins relative to each food or beverage appearing on the school's daily menu. Bins were weighed in grams and converted to ounces and cups at the end of each lunch period.Results The researchers examined 304 meals from 1 pre-kindergarten class and 5 kindergarten classes. Of 4,988 oz of food and beverages served, 2,261 oz (45.3%) were wasted during 1 full school week, totaling 141 lb. The greatest amount of food waste was generated from vegetables, the main entree, and milk, respectively.Conclusions and implications Strategies to reduce food waste in school lunch should be researched and implemented.
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At one elementary school after the implementation of the policy, 45 percent of served food and beverages were discarded by students.
“At one elementary school after the implementation of the policy 45 percent of served food and beverages were discarded by students (Byker et al. 2014).”
From Drivers of food waste and their implications for sustainable policy development (2016) · cites this paper as Byker et al. 2014
Cites
1 retracted
RETRACTED: Attractive names sustain increased vegetable intake in schools
Wansink, B. C., Just, D. R., Payne, C. R., & Klinger, M. Z. (2012) · Preventive Medicine · doi:10.1016/j.ypmed.2012.07.012 · Cited by 136 · see citing works
RetractedUS Environmental Protection Agency
Liu, X. (1998) · Choice Reviews Online · doi:10.5860/choice.35-4455 · Cited by 5,887 · see citing works
Influences on the Development of Children's Eating Behaviours: From Infancy to Adolescence.
Birch, L. L., Savage, J. S., & Ventura, A. K. (2007) · PubMed · Cited by 471 · see citing works
Costanzo, P. R., & Woody, E. Z. (1985) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.1985.3.4.425 · Cited by 400 · see citing works
“Clean up your plate”: Effects of child feeding practices on the conditioning of meal size
Birch, L. L., McPheee, L., Shoba, B. C., Steinberg, L., & Krehbiel, R. (1987) · Learning and Motivation · doi:10.1016/0023-9690(87)90017-8 · Cited by 321 · see citing works
School Lunch Waste Among Middle School Students
Cohen, J. F. W., Richardson, S., Austin, S. B., Economos, C. D., & Rimm, E. B. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.09.060 · Cited by 180 · see citing works
Nutrition standards for foods in schools : leading the way toward healthier youth
Stallings, V., & Yaktine, A. (2007) · PsycEXTRA Dataset · doi:10.1037/e719652007-001 · Cited by 169 · see citing works
Salad bars and fruit and vegetable consumption in elementary schools: A plate waste study
Adams, M. A., Pelletier, R. L., Zive, M. M., & Sallis, J. F. (2005) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2005.08.013 · Cited by 149 · see citing works
Smarter Lunchrooms: Using Behavioral Economics to Improve Meal Selection
Just, D. R., & Wansink, B. C. (2009) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.94315 · Cited by 139 · see citing works
Marlette, M. A., Templeton, S. B., & Panemangalore, M. (2005) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2005.08.033 · Cited by 95 · see citing works
Nordin, S., Boyle, M., & Kemmer, T. M. (2013) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2013.01.025 · Cited by 51 · see citing works
Several Strategies May Lower Plate Waste in School Feeding Programs
Guthrie, J. F., Buzby, J. C., Guthrie, J. F., & Buzby, J. C. (2002) · Unknown · doi:10.22004/ag.econ.234618 · Cited by 40 · see citing works
O’Neil, C. E., Nicklas, T. A., Myers, L., et al. (1996) · Cited by 32 · see citing works
Shanks, C. B., Pinard, C. A., Yaroch, A. L., & Serrano, E. L. (2013) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2013.06.004 · Cited by 27 · see citing works
Self-citationHanks, A., Just, D. R., & Wansink, B. C. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2079843 · Cited by 8 · see citing works
Smarter lunchrooms: Using behavioral economics to improve meal selection, choices
Just, D. R. (2009) · Medical Entomology and Zoology · Cited by 8 · see citing works
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Sorted by citations
Drivers of food waste and their implications for sustainable policy development
Thyberg, K. L., & Tonjes, D. J. (2016) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2015.11.016 · Cited by 928 · see citing works
New school meal regulations increase fruit consumption and do not increase total plate waste
Schwartz, M. B., Henderson, K. E., Read, M., Danna, N., & Ickovics, J. R. (2015) · Childhood Obesity · doi:10.1089/chi.2015.0019 · Cited by 224 · see citing works
Food waste reduction: a test of three consumer awareness interventions
Soma, T., Li, B., & Maclaren, V. (2020) · Sustainability · doi:10.3390/su12030907 · Cited by 132 · see citing works
Plate waste of adults in the United States measured in free-living conditions
Roe, B. E., Apolzan, J. W., Qi, D., Allen, H. R., & Martin, C. K. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191813 · Cited by 43 · see citing works
Hamdi, N., Ellison, B., McCaffrey, J., Metcalfe, J. J., Hoffman, A., Haywood, P., & Prescott, M. P. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17113971 · Cited by 28 · see citing works
Calvert, H. G., Ohri-Vachaspati, P., McQuilkin, M., Boedeker, P., & Turner, L. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18168558 · Cited by 8 · see citing works
- Authors
- Byker, C. J., Farris, A. R., Marcenelle, M., Davis, G. C., & Serrano, E. L.
- Affiliations
- Virginia Tech (US)
- Montgomery County Public Schools (US)
- Venue
- Journal of Nutrition Education and Behavior
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 46
- Issue
- 5
- Pages
- 406-411
- ISSN
- 1499-4046 (ISSN-L)
- OpenAlex
- W2035951612
- Cited by
- 195
- References
- 16
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 16 · 2023: 7 · 2022: 40 · 2021: 17 · 2020: 20 · 2019: 18 · 2018: 24 · 2017: 14 · 2016: 11 · 2015: 10 · 2014: 3
- FWCI
- 18.15
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Journal of Nutrition Education and Behavior (publishedVersion)
- PubMed (publishedVersion)
- Montana State University ScholarWorks (Montana State University) (submittedVersion, cc-by-nc-nd)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Waste Reduction and Sustainability
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Health Sciences › Health Professions › General Health Professions › Food Security and Health in Diverse Populations
- Keywords
- food waste, school meals, elementary school students, kindergarten children, food waste reduction, school nutrition programs
- MeSH terms
- Child Behavior, Child, Preschool, Food Preferences, Food Services, Humans, Menu Planning, Schools, Lunch
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