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Record W2414741172 · doi:10.71781/28521

Risque cardiométabolique et habitudes de vie des adultes atteints de diabète de type 1

2015· dissertation· fr· W2414741172 on OpenAlexfundno aff
Catherine Leroux

Bibliographic record

VenuePapyrus : Institutional Repository (Université de Montréal) · 2015
Typedissertation
Languagefr
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
FundersUniversité de MontréalDiabète Québec
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Les patients atteints de diabète de type 1 (DbT1) présentent un risque accru de maladies cardiovasculaires. De plus, sous l’influence sociétale et iatrogénique, leur profil de risque cardiométabolique a défavorablement évolué au cours des dernières décennies. Cette population aurait aussi davantage de barrières à l’adoption d’un mode de vie sain. L’objectif de ce mémoire visait à explorer le mode de vie des adultes DbT1 et sa relation avec les facteurs de risque cardiométabolique. Une étude transversale observationnelle menée auprès de 124 adultes DbT1 a permis d’obtenir une caractérisation de leur profil cardiométabolique et de leurs habitudes de vie. Les résultats démontrent que la majorité des adultes atteints de DbT1 n'adoptent pas les saines habitudes de vie recommandées (bonne qualité alimentaire, pratique régulière d’activité physique, non fumeur) et que ceux-ci présentent un profil cardiométabolique altéré comparativement aux adultes DbT1 qui les adoptent. De plus, il y aurait une relation proportionnelle entre l’adoption d’un plus grand nombre de saines habitudes de vie et l’amélioration du profil cardiométabolique. Des études d’interventions ciblant les patients DbT1 et visant à améliorer ces trois grandes composantes des habitudes de vie sont nécessaires.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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
Published2015
Admission routes1
Has abstractyes

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