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Record W6941056619 · doi:10.11575/prism/45824

Eat, play, live: a randomized controlled trial within a natural experiment examining the role of nutrition policy and capacity building in improving food environments in recreation and sport facilities

2019· other· en· W6941056619 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary · 2019
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationRandomized controlled trialBaseline (sea)Natural experimentCapacity buildingGuidelineQuality (philosophy)

Abstract

fetched live from OpenAlex

Abstract Background Recreation and sport facilities often have unhealthy food environments that may promote unhealthy dietary patterns among children. In response, some Canadian provinces have released voluntary nutrition guidelines for recreation and sport facilities, however implementation has been limited. Organizational capacity building may overcome barriers to implementing guidelines. Eat, Play, Live was a randomized controlled trial embedded within a natural experiment that tested the impact of an 18 month capacity building intervention (CBI) in enhancing implementation of provincial nutrition guidelines, and whether nutrition guidelines were associated with positive changes. Primary outcomes were facility capacity, policy development and food environment quality. Methods Recreation and sport facilities in three guideline provinces were randomized into a guideline + CBI (GL + CBI; n = 17) or a guideline only comparison condition (GL-ONLY; n = 15). Facilities in a province without guidelines constituted a second comparison condition (NO-GL; n = 17). Facility capacity, policy development, and food environment quality (vending and concession) were measured and compared at baseline and follow-up across conditions using repeated measures ANOVA and Chi-square statistics. Healthfulness of vending and concession items was rated as Do Not Sell (least nutritious), Sell Sometimes or Sell Most (most nutritious). Results There were significant time by condition effects, with significant increases in facility capacity (mean ± SD: 30.8 ± 15.6% to 62.3 ± 22.0%; p < 0.01), nutrition policy development (17.6% developed new policies; p = 0.049), overall quality of the concession food environment (14.7 ± 8.4 to 17.5 ± 7.2; p < 0.001), and in the proportion of Sell Most (3.7 ± 4.4% to 11.0 ± 9.0%; p = 0.002) and Sell Sometimes vending snacks (22.4 ± 14.4% to 43.8 ± 15.8%; p < 0.001) in GL + CBI facilities, with a significant decline in Do Not Sell vending snacks (74.0 ± 16.6% to 45.2 ± 20.1%; p < 0.001). Conclusions Significant improvements in facility capacity, policy development and food environment quality occurred in recreation and sport facilities that were exposed to nutrition guidelines and participated in a CBI. Outcomes did not improve in facilities that were only passively or not at all exposed to guidelines. Ongoing capacity building may enhance implementation of voluntary nutrition guidelines, however food environments remained overwhelmingly unhealthy, suggesting additional scope to enhance implementation. Trials registration Clinical trials registration (retrospectively registered): ISRCTN14669997 Jul 3, 2018.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.178
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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