Evidence map›Paper›PMID 26158679›Full record

Trial reportAmerican journal of health promotion : AJHP2016

Making Healthy Eating Policy Practice: A Group Randomized Controlled Trial on Changes in Snack Quality, Costs, and Consumption in After-School Programs.

Michael W Beets, R Glenn Weaver, Gabrielle Turner-McGrievy, Jennifer Huberty, Dianne S Ward, Darcy Freedman, Brent Hutto, Justin B Moore, Aaron Beighle

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of health promotion : AJHP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Two-Year Healthy Eating Outcomes: An RCT in Afterschool Programs.American journal of preventive medicine · 2017
    Trial
  9. Trial
  10. Trial
  11. Trial
  12. Observational
  13. Review
  14. Review
  15. Observational
  16. Article
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  18. Article
  19. Article
  20. Identifying Strategies Programs Adopt to Meet Healthy Eating and Physical Activity Standards in Afterschool Programs.Health education & behavior : the official publication of the Society for Public Health Education · 2017
    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

9 authors.

Michael W BeetsUniversity of South Carolina, Columbia, South Carolina beets@mailbox.sc.edu.
R Glenn WeaverUniversity of South Carolina, Columbia, South Carolina.
Gabrielle Turner-McGrievyUniversity of South Carolina, Columbia, South Carolina.
Jennifer HubertyArizona State University, Tempe, Arizona.
Dianne S WardUniversity of North Carolina, Chapel Hill, South Carolina.
Darcy FreedmanCase Western Reserve University, Cleveland, Ohio.
Brent HuttoUniversity of South Carolina, Columbia, South Carolina.
Justin B MooreUniversity of South Carolina, Columbia, South Carolina.
Aaron BeighleUniversity of Kentucky, Lexington, Kentucky.

Funding

Physical Activity and Nutrition Intervention in Afterschool ProgramsR01HL112787 · NHLBI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI BEETS, MICHAEL W · 2012 to 2015
$2.6M
NHLBI NIH HHS L40 HL120010NHLBI NIH HHS R01 HL112787
6 · The paper itself

Abstract

purposeThe aim of this study was to evaluate an intervention designed to assist after-school programs (ASPs) in meeting snack nutrition policies that specify that a fruit or vegetable be served daily and sugar-sweetened beverages/foods and artificially flavored foods eliminated.

designThe study used a 1-year group-randomized controlled trial.

settingThe study took place in ASPs operating in South Carolina, United States. SUBJECTS: Twenty ASPs serving over 1700 children were recruited, match-paired postbaseline on enrollment size and days fruits/vegetables were served per week, and randomized to either intervention (n = 10) or control (n = 10) groups.

interventionThe study used Strategies To Enhance Practice for Healthy Eating (STEPs-HE), a multistep adaptive intervention framework that assists ASP leaders and staff to serve snacks that meet nutrition policies while maintaining cost. MEASURES: Direct observation of snacks served and consumed and monthly snack expenditures as determined by receipts were used. ANALYSIS: The study used nonparametric and mixed-model repeated measures.

resultsBy postassessment, intervention ASPs increased serving of fruits/vegetables to 3.9 ± 2.1 vs. 0.7 ± 1.7 d/wk and decreased serving sugar-sweetened beverages to 0.1 ± 0.7 vs. 1.8 ± 2.4 d/wk and sugar-sweetened foods to 0.3 ± 1.1 vs. 2.7 ± 2.5 d/wk compared to controls, respectively. Cost of snacks increased by $0.02/snack in the intervention ASPs ($0.36 to $0.38) compared to a $0.01 per snack decrease in the control group ($0.39 to $0.38). Across both assessments and groups, 80% to 100% of children consumed FVs.

conclusionsThe STEPs-HE intervention can assist ASPs in meeting nationally endorsed nutrition policies with marginal increases in cost.

Indexed as

Nutrition PolicySnacksChildChild Day Care CentersDiet, HealthyFemaleFruitHealth PromotionHumansMaleProgram EvaluationSchoolsSouth CarolinaUnited StatesVegetablesChildrenCommunityfinancial/economicHealth focus: nutritionInterventionlocal communityManuscript format: researchOutcome measure: behavioralpolicyPolicyPrevention Researchrace/ethnicityResearch purpose: intervention testing/ program evaluationSchoolSetting: schoolStrategy: skill building/behavior changeStudy design: group randomized trialTarget population age: youthTarget population circumstances: geographic location

Identifiers

PMID26158679
PMCPMC5594564

What OpenQuestion holds

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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.