Evidence map›Paper›PMID 27216875›Full record

Trial reportHealth promotion practice2016

Process Evaluation of Making HEPA Policy Practice: A Group Randomized Trial.

Robert G Weaver, Justin B Moore, Jennifer Huberty, Darcy Freedman, Brie Turner-McGrievy, Aaron Beighle, Diane Ward, Russell Pate, Ruth Saunders, Keith Brazendale and 4 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Health promotion practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. 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
  9. 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

14 authors.

Robert G WeaverUniversity of South Carolina, Columbia, SC, USA weaverrg@mailbox.sc.edu.
Justin B MooreWake Forest School of Medicine, Winston-Salem, NC, USA.
Jennifer HubertyArizona State University, Phoenix, AZ, USA.
Darcy FreedmanCase Western Reserve University, Cleveland, OH, USA.
Brie Turner-McGrievyUniversity of South Carolina, Columbia, SC, USA.
Aaron BeighleUniversity of Kentucky, Lexington, KY, USA.
Diane WardUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Russell PateUniversity of South Carolina, Columbia, SC, USA.
Ruth SaundersUniversity of South Carolina, Columbia, SC, USA.
Keith BrazendaleUniversity of South Carolina, Columbia, SC, USA.
Jessica ChandlerUniversity of South Carolina, Columbia, SC, USA.
Rahma AjjaUniversity of South Carolina, Columbia, SC, USA.
Becky KyryliukUniversity of South Carolina, Columbia, SC, USA.
Michael W BeetsUniversity of South Carolina, Columbia, SC, USA.

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 R01 HL112787
6 · The paper itself

Abstract

This study examines the link between implementation of Strategies to Enhance Practice (STEPs) and outcomes. Twenty after-school programs (ASPs) participated in an intervention to increase children's accumulation of 30 minutes/day of moderate to vigorous physical activity (MVPA) and quality of snacks served during program time. Outcomes were measured via accelerometer (MVPA) and direct observation (snacks). STEPs implementation data were collected via document review and direct observation. Based on implementation data, ASPs were divided into high/low implementers. Differences between high/low implementers' change in percentage of boys accumulating 30 minutes/day of MVPA were observed. There was no difference between high/low implementers for girls. Days fruits and/or vegetables and water were served increased in the high/low implementation groups, while desserts and sugar-sweetened beverages decreased. Effect sizes (ES) for the difference in changes between the high and low group ranged from low (ES = 0.16) to high (ES = 0.97). Higher levels of implementation led to increased MVPA for boys, whereas girls MVPA benefited from the intervention regardless of high/low implementation. ESs of the difference between high/low implementers indicate that increased implementation of STEPs increases days healthier snacks are served. Programs in the high-implementation group implemented a variety of STEPs strategies, suggesting local adoption/adaptation is key to implementation.

Indexed as

ExerciseHealth PolicySnacksAccelerometryDrinking WaterFemaleFruitHealth PromotionHumansMalePolicy MakingProgram EvaluationSchoolsSex FactorsVegetablesDrinking Waterinterventionobesitypolicyyouth

Identifiers

PMID27216875
PMCPMC7229442

What OpenQuestion holds

Textmetadata
LicenceTDM
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.