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Is Consumption of Fruit Juice Associated with an Increased Risk of Overweight or Obesity in Canadian School Age Children?

2019· article· en· W2913475144 on OpenAlexaffabout
Ivan L. Cepeda

Bibliographic record

VenueInterdisciplinary Journal of Epidemiology and Public Health · 2019
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsInstitute of Population and Public Health
Fundersnot available
KeywordsOverweightObesityMedicineEnvironmental healthConsumption (sociology)Fruit juiceOdds ratioOddsConfoundingDemographyGerontologyFood scienceLogistic regressionBiologyInternal medicine

Abstract

fetched live from OpenAlex

Background: Obesity rates in Canada have tripled in the last three decades. Up to 32% of 5-17-year-olds in Canada are overweight (20%) or obese (12%). Excess weight in childhood has been linked to health issues that are major public health concern. For children, fruit juice is an important proportion of their daily fruit and vegetable servings. However, little is known about the association of fruit juice consumption and obesity. Objective: To investigate the association of consumption of fruit juice and the risk of overweight or obesity in 12 to 17 year-olds in Canada.Methods: Using the Canadian Community Health Survey (CCHS 2011-1012) we examined the association of fruit juice consumption and the risk of overweight or obesity in Canadian youth, while controlling sex, household income, healthy diet, and physical activity.Results: After adjusting for relevant confounders, consumption of more than one fruit juice a day remained associated with a lower odds of overweight or obesity. Even though the 95% CI for all the daily fruit juice consumption categories examined in the adjusted model included ‘1’, fruit juice consumption was associated with a reduction in the odds of being overweight or obese between 16% and 27%.Conclusion: We found a moderate negative association of daily consumption of fruit juice and overweight or obesity in Canadian youth. However, before any dietary recommendation on this age group of children are established, more research is needed to clarify the role of sex and healthy diet in this association.

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)0.007
metaresearch head score (Gemma)0.002
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 score0.062
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
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 integrity0.0000.001
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 head0.047
GPT teacher head0.364
Teacher spread0.317 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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