Exploration of the relationships between the ventilatory, cardiac and peripheral determinants of cardiopulmonary fitness and cognitive functions in older adults with cardiovascular risk factors
Notice bibliographique
Résumé
Abstract Background Studies on the associations between cardiorespiratory fitness (VO2max) and cognition have used inconsistent methods, which could explain the variability in the results. Understanding how ventilatory, cardiac and peripheral determinants of VO2max impact cognition would allow us to better prevent cognitive decline. Purpose Determine the relationship between the ventilatory, cardiac and peripheral determinants of VO2max and cognitive function in older individuals with cardiovascular risk factors (CVRFs). We hypothesised that cognitive functions will mainly be linked to cardiac determinants. Methods 141 older individuals (70±6 years) with CVRFs underwent a cardiopulmonary exercise test with cardiac output (Qc) measured by impedance cardiography. Various determinants of VO2max, including ventilatory (alveolar ventilation (VA), oxygen uptake efficiency slope (OUES), minute ventilation/carbon dioxide slope (VE/VCO2)), cardiac (cardiac power (CP)) and peripheral determinants (oxygen uptake to workload slope (VO2/Watts) and arteriovenous difference in O2 (C(a-v)O2)) were calculated [1-3]. Participants completed a neuropsychological test battery assessing global cognition (MoCA), working memory (WM), processing speed (PS), executive function (EF) and verbal memory (VM) for which composite z-scores were computed. Simple correlations between VO2max determinants, age, sex and years of education with the MoCA and cognitive scores were carried out. A forward stepwise linear regression was then used to identify predictors of the MoCA and cognition out of all the VO2max determinants, age sex and education. Variables were added based on the p-values and a p<.05 was used to set the limit of variables included in the model. Results The MoCA was correlated with both VA (r=.2254, p=.008) and education (r=.1888, p=.028). WM was associated with the VO2/Watts (r=.1941, p=.025) while higher Qc (r=-.2634, p=.009) and CP (r=-.2374, p=.015) correlated with better PS. EF was linked to ventilatory and cardiac determinants of VO2max, including VA (r=-.3742, p≤.001), OUES (r=-.1769, p=.045), VE/VCO2 (r=.2905, p≤.001), Qc (r=-.3074, p=.001), CP (r=-.3027, p≤.001) and age (r=.4355, p≤.001). VM was correlated with CP (r=.2136, p=.024), age (r=-.2475, p=.005) and sex (r=-.4483, p≤.001). Stepwise linear regressions indicated that VO2max determinants had different predictive values on cognitive outcomes (see Table 1). Conclusion PS and VM were correlated with peak exercise cardiac parameters, while the MoCA and WM were associated with peak exercise ventilatory and peripheral determinants respectively. EF was linked to peak exercise ventilatory, cardiac and peripheral determinants. Qc predicted both PS and EF while VO2/Watts predicted WM. This indicates that in older individuals with CVRFs the different determinants of VO2max are associated with distinct cognitive functions. These results can inform specific therapeutic targets to maintain optimal cognition in ageing. Stepwise regressions results.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».