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Record W4286770926 · doi:10.1111/dme.14921

Nutrition and food literacy among young Canadian adults living with type 1 diabetes

2022· article· en· W4286770926 on OpenAlexaffabout
Alexandra Itzkovitz, Vanessa Maggio, Amélie Roy‐Fleming, Laurent Legault, Anne‐Sophie Brazeau

Bibliographic record

VenueDiabetic Medicine · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineType 2 diabetesConfidence intervalMealHealth literacyDiabetes mellitusGerontologyType 1 diabetesMeal preparationLiteracyInternal medicineHealth careEndocrinologyFood sciencePsychology

Abstract

fetched live from OpenAlex

AIM: Nutrition and food literacy encompasses knowledge, skills and confidence to prepare healthy meals. This project aimed to assess and compare the proportion of young Canadian adults (18-29 years old) living with type 1 diabetes and without diabetes (controls) who demonstrated adequate nutritional health literacy. METHODS: This cross-sectional study involved participants completing an online survey that included questions on socio-economic status, nutrition knowledge, confidence and skills in meal preparation and the Short Food Literacy Questionnaire (SFLQ). Proportion of participants with adequate SFLQ score (i.e. ≥34/52) was compared between the groups (two-sample t-test). RESULTS: Among the 236 people living with type 1 diabetes and 191 controls (81.5% women), mean age was 24 ± 3 years for people living with type 1 diabetes and 22 ± 3 years for controls (p < 0.001). More people living with type 1 diabetes reported adequate SFLQ score (people living with type 1 diabetes 88.0% vs. Controls 68.0%; p < 0.001). Similarly, majority of people living with type 1 diabetes prepared their own meals compared to the controls (74.5% vs. 47.6%; p < 0.001). Enhanced SFLQ score was associated with higher cooking skills (p = 0.02) and confidence (p < 0.01) in preparing healthy meals. CONCLUSIONS: Living with type 1 diabetes was associated with greater SFLQ scores among young Canadian adults. Having the independence, the confidence and skills in meal preparation were contributing factors.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.340
Teacher spread0.320 · 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.

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

Citations18
Published2022
Admission routes2
Has abstractyes

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