How changes in physical inactivity influence the combined effects of vascular risk factors on cognition?
Notice bibliographique
Résumé
Introduction Multidomain interventions showed that targeting combinations of risk factors, such as vascular risk factors and physical inactivity, can improve cognition. Although most of these interventions included exercise, it remains unclear how changes in physical activity influence the combined effects of vascular risk factors on cognition. Furthermore, the effect of specific combinations of vascular risk factors is not well understood. This study aimed to examine how changes in physical activity influence the cognitive effects of vascular risk factors and to identify which specific combinations are most prevalent and associated with the greatest detrimental effect. Methods The prevalence of vascular risk factors (hypertension, obesity, high LDL cholesterol, diabetes) as well as their aggregated and pairwise combinations were estimated using the Canadian Longitudinal Study on Aging (N=30,097). Change in physical activity over three years was classified as: remained active, remained inactive, became inactive, and became active. Linear mixed models were used to examine the combined effects of vascular risk factor (aggregated number and pairwise) on cognitive change. Effect modification by changes in physical activity was assessed using an interaction term. All analyses were stratified by sex and life stage (midlife: 45-64 and later life: 65-85). Results Most participants remained inactive (66%) or became inactive (10%), and cognition improved overall. The most prevalent combination was hypertension and obesity (17%), while hypertension and diabetes showed the strongest association (p<0.001). The aggregated number of vascular risk factors was associated with less improvement in memory (p=0.13), but greater improvement in global cognition (p=0.48) and executive function (p=0.01). Compared to those who remained active, the aggregation of vascular risk factors was associated with less improvement in executive function if they remained inactive. Those who became inactive experienced less improvement in both global cognition and executive function. In contrast, individuals who became active showed similar or greater improvement across all domains. This pattern was more evident in midlife and among women, but not in men or later life. Conclusions Changes in physical activity significantly modify the effects of vascular risk factors. While certain combinations were particularly detrimental, maintaining or increasing physical inactivity appeared to buffer these effects.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| 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 | 0,000 |
| 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 ».