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Record W2883169576

Impact d’un programme de réadaptation sur la condition physique de patients coronariens

2018· article· fr· W2883169576 on OpenAlexaboutno aff
Maxime St-Pierre

Bibliographic record

VenueConstellation (Université du Québec à Chicoutimi) · 2018
Typearticle
Languagefr
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecologyHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Au Canada, les maladies cardiovasculaires (MCV) représentent la 2e cause de mortalité après le cancer. En 2008, du nombre total de mortalités liées aux MCV, 54 % étaient attribuables aux maladies coronariennes. Plusieurs programmes de réadaptation cardiaque ont été développés et leurs impacts sur la santé globale des patients sont indiscutables. Il semble également qu’une bonne condition physique soit associée à un meilleur pronostic chez les patients coronariens. Cette étude avait pour objectif d’évaluer l’impact du programme de phase 1 de Cardi-O-Forme sur la condition physique des patients coronariens. L’échantillon était composé de 23 patients coronariens ayant complété le programme de phase 1 de Cardi-O-Forme. Les données du programme ont été recueillies dans le dossier médical des sujets au service des archives du CIUSSS du Saguenay-Lac-Saint-Jean. Chaque sujet avait préalablement complété les 8 à 12 semaines prévues à l’intervention. Les données anthropométriques et la condition physique des participants ont été mesurés au début et à la fin de la phase 1 du programme de Cardi-O-Forme. Bien que le poids corporel des participants soit demeuré stable, on note une diminution significative de la circonférence de taille après le programme d’intervention. La capacité cardiorespiratoire des participants a augmenté de façon significative entre le début et la fin du programme. Les résultats de la présente étude démontrent que le programme de phase 1 de Cardi-O-Forme permet d’améliorer la condition physique des participants. Par conséquent, nous pouvons supposer que le programme est efficace et qu’il permet d’améliorer le pronostic des participants. In Canada, cardiovascular disease (CVD) is the second cause of mortality close behind cancer. Considering all CVD mortality in 2008, 54 % were caused by coronary heart disease (CHD). For many years, many cardiac rehabilitation programs have been developed and their impact on health is well recognized. Also, it seems that an increased in cardiorespiratory fitness could be associated with a better cardiovascular risk factors. The aim of this study was to determine the effects of a regional cardiac rehabilitation program (named as Cardi-O-Forme) on exercise capacity in patients with CHD. A total of 23 subjects with a clinical diagnosis of CHD were included in this study. Patients enrolled in the Cardi-O-Forme program trained for 8 to 12 weeks. Data were collected at the Chicoutimi hospital. Anthropometric parameters, lipids profile and physical fitness were collected before and after the completion of the Cardi-O-Forme program. Waist circumference was significantly decreased after the Cardi-O-Forme program. Cardiorespiratory fitness was also significantly improved after the cardiac rehabilitation program. Results of the present study demonstrate that exercise training in Cardi-OForme program significantly improved exercise capacity. As improvement in exercise capacity is associated with a decreased in predicted mortality, we hypothesised that the Cardi-O-Forme program may improve the prognostic of the patients.

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)0.004
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.849
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.250
Teacher spread0.239 · 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
Published2018
Admission routes1
Has abstractyes

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