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Record W2811215052 · doi:10.1080/09637486.2018.1486392

Validation of a self-administered version of the Mediterranean diet scale (MDS) for cardiac rehabilitation patients in Canada

2018· article· en· W2811215052 on OpenAlexafffundabout
Gabriela Lima de Melo Ghisi, Anisha Mahajan, Gabriela Chaves, Veronica Rouse, Margaret Brum, Fatim Ajwani, Crystal Aultman, Maria Ricupero, Paul Oh, Tracey J. F. Colella

Bibliographic record

VenueInternational Journal of Food Sciences and Nutrition · 2018
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsToronto General HospitalToronto Western HospitalUniversity of TorontoToronto Rehabilitation InstituteUniversity Health Network
FundersToronto Rehabilitation InstituteUniversity Health Network
KeywordsCronbach's alphaConstruct validityMediterranean dietRehabilitationScale (ratio)MedicineContent validityReliability (semiconductor)Criterion validityPhysical therapyPsychologyClinical psychologyPsychometricsInternal medicineCartographyGeography

Abstract

fetched live from OpenAlex

The Mediterranean dietary pattern has been linked with lower incidence of cardiovascular disease and the Mediterranean diet scale (MDS) has been created to incorporate and test the inherent characteristics of this dietary pattern. This study aimed to psychometrically validate a self-administered version of the MDS in cardiac rehabilitation (CR) patients in Canada. To establish content validity, the scale was reviewed by an expert interdisciplinary panel. A final version of the tool was tested in 150 CR patients. Cronbach's alpha was 0.69. All ICC coefficients met the minimum recommended standard. Factor analysis revealed four factors, all internally consistent. Criterion validity was supported by significant differences in total scores by duration in CR. Construct validity was supported by agreements between the self-administered MDS and original MDS in all items and with the 3-day food record in 8 of 13 items. In conclusion, the self-administered version of the MDS demonstrated good reliability and validity.

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 score0.048
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.016
GPT teacher head0.279
Teacher spread0.262 · 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

Citations19
Published2018
Admission routes3
Has abstractyes

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