Evidence map›Paper›PMID 32580743›Full record

Trial reportNutrition journal2020

Sustainable and acceptable school meals through optimization analysis: an intervention study.

Patricia Eustachio Colombo, Emma Patterson, Anna Karin Lindroos, Alexandr Parlesak, Liselotte Schäfer Elinder

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Nutrition journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04168632 (Fostering Sustainable Dietary Habits Through Optimized School Meals - an Intervention Study), which is not on this map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 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.

NCT04168632 nacompletednot on this map

Fostering Sustainable Dietary Habits Through Optimized School Meals - an Intervention Study

TypeinterventionalSponsorKarolinska InstitutetRan2019 to 2019Enrolled1,635ConditionsFood HabitsArmsOPTIMAT
3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Systems-Based Dialogue With Secondary School Students to Explore School Food Environments That Promote Healthy People and Planet.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors.

Patricia Eustachio ColomboDepartment of Global Public Health, Karolinska Institutet, 171 77, Stockholm, Sweden. patricia.eustachio.colombo@ki.se.ORCID 0000-0002-8505-116X
Emma PattersonDepartment of Global Public Health, Karolinska Institutet, 171 77, Stockholm, Sweden.
Anna Karin LindroosThe Swedish Food Agency, 753 19 Uppsala, Sweden.
Alexandr ParlesakGlobal Nutrition and Health, University College Copenhagen, 2200, Copenhagen, Denmark.
Liselotte Schäfer ElinderDepartment of Global Public Health, Karolinska Institutet, 171 77, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchool meals hold considerable potential to shape children's diets and reduce food-related greenhouse gas emissions (GHGE)-in the short and long term. This study applied linear optimization to develop a GHGE-reduced, nutritionally adequate, and affordable school lunch menu. The effects on food waste, consumption and pupils' satisfaction with the meals were evaluated.

methodsA pre-post design was employed to assess the effects of implementing an optimized lunch menu on daily food waste, consumption, and pupils' school meal satisfaction in three schools (grades 0-9) from one Swedish municipality. A food list containing amounts, prices, nutrient content, and GHGE-values of all foods used for a previously served (baseline) four-week lunch menu was created. Using linear programming, this food list was optimized for minimum deviation and constrained to ensure nutritional adequacy and a reduced climate impact. The optimized food list was developed into a new (intervention) four-week lunch menu by a professional meal planner, following the baseline menu as closely as possible. The baseline and intervention menus were served for four weeks, respectively, with a two week break in between. Prepared, wasted and leftover food were weighed daily by the school kitchen staff during both periods. Interrupted time series analysis assessed mean and slope differences in daily food waste and consumption between the two periods. School lunch satisfaction was assessed with an online questionnaire at baseline and during the intervention.

resultsOptimization resulted in a food list that was 40% lower in GHGE, met all nutrient recommendations for school meals, and cost 11% less compared to baseline. The intervention menu was served as planned, with only minor changes required (for practical reasons). Plate waste, serving waste, consumption and school lunch satisfaction did not differ significantly from baseline, in any of the schools.

conclusionsThe findings demonstrate that school meals can successfully be improved regarding health and environmental sustainability using linear optimization, without negative effects on food waste, consumption or cost. This approach offers the necessary flexibility to tailor menus towards different priorities and could therefore be transferred to other types of meal services.

trial registrationThe trial is registered at clinicaltrials.gov (NCT04168632 Fostering Healthy and Sustainable Diets Through School Meals (OPTIMAT).

Indexed as

Food ServicesRefuse DisposalChildDietHumansLunchMealsSchoolsAgenda 2030ChildrenPublic mealsSustainable diets

Identifiers

PMID32580743
PMCPMC7315552

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.