Evidence map›Paper›PMID 34491207›Full record

Trial reportJournal of medical Internet research2021

Effectiveness of a Multistrategy Behavioral Intervention to Increase the Nutritional Quality of Primary School Students' Web-Based Canteen Lunch Orders (Click & Crunch): Cluster Randomized Controlled Trial.

Rebecca Wyse, Tessa Delaney, Fiona Stacey, Rachel Zoetemeyer, Christophe Lecathelinais, Hannah Lamont, Kylie Ball, Karen Campbell, Chris Rissel, John Attia and 7 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

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

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

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  8. Characterisation of At-Scale Community Health Interventions Aimed to Improve Healthy Eating Behaviour in Australia: A Rapid Review.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
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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

17 authors.

Rebecca WyseSchool of Medicine and Public Health, University of Newcastle, Callaghan, Australia.ORCID 0000-0002-4872-2112
Tessa DelaneyHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0002-2756-4821
Fiona StaceyHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0002-7041-5020
Rachel ZoetemeyerHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0003-1372-8431
Christophe LecathelinaisHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0002-8931-473X
Hannah LamontHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0002-3688-566X
Kylie BallSchool of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia.ORCID 0000-0003-2893-8415
Karen CampbellSchool of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia.ORCID 0000-0002-4499-3396
Chris RisselSchool of Public Health, University of Sydney, Sydney, Australia.ORCID 0000-0002-2156-8581
John AttiaHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0001-9800-1308
John WiggersHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0001-6361-9685
Sze Lin YoongHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0002-0836-017X
Christopher OldmeadowHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0001-6104-1322
Rachel SutherlandHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0003-0470-7663
Nicole NathanHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0002-7726-1714
Kathryn ReillyHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0002-2862-956X
Luke WolfendenHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0002-6178-3868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchool food outlets represent a key setting for public health nutrition intervention. The recent proliferation of web-based food ordering systems provides a unique opportunity to support healthy purchasing from schools. Embedding evidence-based choice architecture strategies within these routinely used systems provides the opportunity to impact the purchasing decisions of many users simultaneously and warrants investigation.

objectiveThis study aims to assess the effectiveness of a multistrategy behavioral intervention implemented via a web-based school canteen lunch ordering system in reducing the energy, saturated fat, sugar, and sodium content of primary students' web-based lunch orders.

methodsThe study used a parallel-group, cohort, cluster randomized controlled trial design with 2207 students from 17 Australian primary schools. Schools with a web-based canteen lunch ordering system were randomly assigned to receive either a multistrategy behavioral intervention that included choice architecture strategies embedded in the web-based system (n=9 schools) or the standard web-based ordering system only (n=8 control schools). Automatically collected student purchasing data at baseline (term 2, 2018) and 12 months later (term 2, 2019) were used to assess trial outcomes. Primary trial outcomes included the mean energy (kJ), saturated fat (g), sugar (g), and sodium (mg) content of student lunch orders. Secondary outcomes included the proportion of all web-based lunch order items classified as everyday, occasional, and caution (based on the New South Wales Healthy School Canteen Strategy) and canteen revenue.

resultsFrom baseline to follow-up, the intervention lunch orders had significantly lower energy content (-69.4 kJ, 95% CI -119.6 to -19.1; P=.01) and saturated fat content (-0.6 g, 95% CI -0.9 to -0.4; P<.001) than the control lunch orders, but they did not have significantly lower sugar or sodium content. There was also a small significant between-group difference in the percentage of energy from saturated fat (-0.9%, 95% CI -1.4% to -0.5%; P<.001) but not in the percentage of energy from sugar (+1.1%, 95% CI 0.2% to 1.9%; P=.02). Relative to control schools, intervention schools had significantly greater odds of having everyday items purchased (odds ratio [OR] 1.7, 95% CI 1.5-2.0; P<.001), corresponding to a 9.8% increase in everyday items, and lower odds of having occasional items purchased (OR 0.7, 95% CI 0.6-0.8; P<.001), corresponding to a 7.7% decrease in occasional items); however, there was no change in the odds of having caution (least healthy) items purchased (OR 0.8, 95% CI 0.7-1.0; P=.05). Furthermore, there was no change in schools' revenue between groups.

conclusionsGiven the evidence of small statistically significant improvements in the energy and saturated fat content, acceptability, and wide reach, this intervention has the potential to influence dietary choices at a population level, and further research is warranted to determine its impact when implemented at scale.

trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12618000855224; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375075. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2019-030538.

Indexed as

Food ServicesLunchAustraliaChildDiet, HealthyHumansInternetNutritive ValueSchoolsStudentscanteenschoice architecturedigital interventionsinterventionmenu labelingnudgeonline canteenonline ordering systemsschool childrenschool food service

Identifiers

PMID34491207
PMCPMC8456336

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.