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Record W2597801333 · doi:10.1177/2333794x17694227

Barriers and Facilitators to Intake of Dairy Products in Adolescent Males and Females With Different Levels of Habitual Intake

2017· article· en· W2597801333 on OpenAlexafffund
Megan Racey, Jeanette Bransfield, Kathryn Capello, David Field, Verena Kulak, David Machmueller, Michèle Preyde, Genevieve Newton

Bibliographic record

VenueGlobal Pediatric Health · 2017
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Guelph
FundersOntario Ministry of Agriculture, Food and Rural AffairsDairy Farmers of Ontario
KeywordsMedicineFocus groupOverweightPsychological interventionConsumption (sociology)Environmental healthQualitative researchProduct (mathematics)ObesityNursingMarketing

Abstract

fetched live from OpenAlex

Background: Dairy products and alternatives can contribute to overall good health including positive body composition and decreased adiposity; however, these foods are grossly underconsumed by youth, and worldwide, almost 25% of children are overweight or obese. Objective: The study investigated the barriers and facilitators toward dairy consumption by Grade 7 youth. Methods: Thirty 50-minute, audio-recorded focus groups were conducted with 134 students in eight Grade 7 classes across 5 elementary schools. Focus groups were led by trained facilitators in the elementary schools and participants were separated based on dairy consumption and gender. Recorded data were transcribed and thematically analyzed using qualitative analysis software to identify themes related to barriers and facilitators to dairy product intake by each gender. Results: Factors considered important by males and females across different levels of habitual intake include personal knowledge about dairy products and misconceptions regarding dairy foods and their associated health benefits; food characteristics, including taste; personal behaviors such as habits or routines including dairy products; social environments including parental and peer influence; physical environments factors such as availability and skipping meals; and the convenience of dairy products. Interestingly, only males noted sports as a positive influence for dairy product intake. Also, there were differences in the way males and females perceived dining out as affecting their dairy intake. Conclusion: Results suggest several potential factors that nutrition education interventions aiming to increase dairy consumption could target.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.315
Teacher spread0.274 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations30
Published2017
Admission routes2
Has abstractyes

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