Evidence map›Paper›PMID 25728060›Full record

ArticlePublic health nutrition2015

Factors affecting fruit and vegetable school lunch waste in Wisconsin elementary schools participating in Farm to School programmes.

Andrea B Bontrager Yoder, Leah L Foecke, Dale A Schoeller

Abstract read
In one paragraph

Article in Public health nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Pooled it
  5. Food Waste in the National School Lunch Program 1978-2015: A Systematic Review.Journal of the Academy of Nutrition and Dietetics · 2017
    Pooled it
  6. Article
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  8. Review
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  10. Article
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  12. Food Trying and Liking Related to Grade Level and Meal Participation.International journal of environmental research and public health · 2020
    Article
  13. Article
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  15. Article
  16. Amin et al. Respond.Public health reports (Washington, D.C. : 1974)
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Andrea B Bontrager YoderDepartment of Nutritional Sciences,University of Wisconsin-Madison,1415 Linden Drive,Madison,WI 53706,USA.
Leah L FoeckeDepartment of Nutritional Sciences,University of Wisconsin-Madison,1415 Linden Drive,Madison,WI 53706,USA.
Dale A SchoellerDepartment of Nutritional Sciences,University of Wisconsin-Madison,1415 Linden Drive,Madison,WI 53706,USA.

Funding

WISCONSIN: HEALTHY COMMUNITIES, TOBACCO CONTROL, DIABETES PREVENTION AND CONTROL,U58DP001997 · DP · WISCONSIN DEPARTMENT OF HEALTH SERVICES · PI UTTECH, SUSAN · 2009 to 2014
$18.0M
PATIENT PROTECTION AND AFFORDABLE CARE ACTU58DP003597 · DP · UNIVERSITY OF WISCONSIN-MADISON · PI VAN ORMAN, SARAH A · 2011 to 2013
$14.1M
NCCDPHP CDC HHS 1U58 DP003597NCCDPHP CDC HHS 3U58DP001997NCCDPHP CDC HHS U58 DP001997NCCDPHP CDC HHS U58 DP003597
6 · The paper itself

Abstract

objectiveTo examine characteristics potentially associated with school lunch fruit and vegetable waste, both overall and pre/post implementation of the Healthy, Hunger-Free Kids Act.

designMulti-year (2010-2013) cross-sectional study using pre- and post-meal digital photographs of students' school lunch trays to estimate fruit and vegetable availability and consumption. Fruit and vegetable items were categorized for factors suspected to impact waste: prior farm to school years, placement (main menu, salad bar), procurement (local, conventional), preparation (cooked, raw) and meal component (entrée, side, topping). Analyses to assess within-category differences in waste volume were performed using a Tobit model.

settingWisconsin elementary schools participating in farm to school programmes, USA. SUBJECTS: Children in third to fifth grade.

resultsMany within-factor differences were detected overall and/or across time. Cooked fruits were wasted less than raw, while cooked vegetables were wasted more than raw. Where identified, locally sourced items were wasted more than conventionally sourced (+0·1 cups, P<0·0001) and salad bar items more than main menu items (+0·01 cups, P<0·0001). Increasing prior farm to school years decreased waste (-0·02 cups, P<0·0001). Items previously tried were wasted at the same volume whether reported as liked or not. New school lunch meal pattern requirement implementation did not uniformly impact fruit and vegetable waste across all categories and there was no change in waste for seven of fifteen assessed categories.

conclusionsMany factors impact elementary students' school lunch waste. These factors may be helpful for school food-service authorities to consider when planning school menus.

Indexed as

AgricultureDietFood PreferencesFood ServicesFood SupplyLunchSchoolsChildCookingCross-Sectional StudiesFemaleFruitHumansMaleMenu PlanningVegetablesFood wasteFruits and vegetablesSchool lunch

Identifiers

PMID25728060
PMCPMC10271538

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.