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Record W7045350664

Avaliação das propriedades de medida da versão brasileira do questionário Mediterranean Diet Scale (MDS-Brasil) em indivíduos com Diabetes Mellitus

2020· dissertation· pt· W7045350664 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2020
Typedissertation
Languagept
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsnot available
Fundersnot available
KeywordsMediterranean dietDiabetes mellitusInsulinMediterranean climateScale (ratio)PortugueseFood frequency questionnaireConstruct validity
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Diabetes mellitus (DM) is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action or both. The Mediterranean diet is characterized by low consumption of saturated fat, high intake of unsaturated fatty acids (such as olive oil, fish, or nuts, for example) and high intake of antioxidants, being indicated for individuals with DM. The Mediterranean Diet Scale (MDS) is a tool validated in Canada that allows multidisciplinary screening to assess adherence to the Mediterranean food pattern in a self-administered and pictorial way. The MDS was translated and adapted by our team, through course completion work. Objective: To analyze the measurement properties of the Brazilian Portuguese version of the Mediterranean Diet Scale (MDS-Brazil) in individuals with DM in Brazil. Method: This is a cross-sectional methodological study to assess the following measurement properties of MDS-Brazil: internal consistency, floor and ceiling effect, reproducibility, and construct validity. The 130 volunteers residing in the metropolitan region of Belo Horizonte (MG - Brazil) were recruited. Adults were included, diagnosed with DM (type 1 or 2), not hospitalized, literate and without dietary restrictions and / or visual, mental or cognitive impairment that prevented them from seeing, reading and understanding the text and figures of the instrument. The volunteers were randomized into two groups. For the assessment of test-retest reliability (subgroup 1), 65 participants completed the MDS-Brazil in two stages. To assess construct validity, another 65 volunteers (subgroup 2) filled out the food diary on 3 non-consecutive days and completed the MDS-Brazil. Results: In the sample, 57.7% were women; 56.55 ± 14.88 years; 74.6% DM type 2. The factor analysis (KMO = 0.555 and X² = 137.22; p <0.001) extracted five factors, representing 55.44% of the total variance. No floor and ceiling effects were found. Internal consistency was established by Cronbach's alpha of 0.42. Reproducibility was assessed using the ICC coefficient (0.75; 95% confidence interval [CI]: 0.61 to 0.84). No significant associations were found between MDS-Brazil scores and age (rho = 0.034, p = 0.789), time since diagnosis (rho = -0.178, p = 0.016), education (rho = 0.194, p = 1.22 ), per capita monthly income (rho = 0.047, p = 0.719) and total MDS-Brazil score and 3-day food diary responses (rho = 0.155; p = 0.22). The analysis of the association between the MDS-Brazil score (6.46 ± 1.81) and responses from the 3-day food record (4.52 ± 1.40) demonstrated a T-Test value = 7.39, p <0.001. The scores calculated in the MDS classification showed that 9.2% of the participants were classified as having high adherence to the Mediterranean dietary pattern and 25.4% low adherence. Conclusion: The analysis of the measurement properties of the MDS-Brazil version applied to individuals with DM showed substantial reproducibility; no floor and ceiling effects were found. However, in this population, the instrument had low internal consistency and weak correlations of construct 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 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)0.010
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.281
Teacher spread0.253 · 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 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
Published2020
Admission routes1
Has abstractyes

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