P4‐284: Vascular risk factors confer domain‐specific deficits in cognitive performance within an elderly russian population
Notice bibliographique
Résumé
Vascular risk factors have been shown to contribute to risk of cognitive impairment in later life. A large urban elderly population from Tomsk, Russia was studied with respect to age, education, and association between cardiovascular and cerebrovascular conditions and cognitive performance, using the Montreal Cognitive Assessment (MoCA). Volunteers were identified through the local centralized medical care system. All were invited for neurocognitive assessment as a part of a study of cognitive aging, regardless of health history. Detailed information was collected on 2073 individuals, including demographics, medical history, and family history. Arterial hypertension was reported by 82.4% of participants, 42.9% reported hypercholesterolemia, 38.4% were obese (defined as body mass index ≥30), 32.3% had one or more other cardiovascular conditions (defined as history of heart attack, pacemaker, or valve replacement), 28.5% had atrial fibrillation (afib), 19.3% reported type 2 diabetes, and 8.5% survived stroke. The cognitive battery, which included the MoCA, CERAD Word List Learning and Recall, and Trails B, was administrated by trained psychometrists (Hayden et al., 2014). Mean age was 72±5 years (from 56 to 90), 77.1% were female. Age (r=-0.338, p<0.001) and education (r=+0.422, p<0.001) significantly influenced MoCA total score, but male and female subjects performed similarly. A series of multiple regressions were conducted to determine whether vascular disease predicted MoCA scores after controlling for covariates of age and education. Health variables significantly predicted MoCA total scores, F(9, 1837) = 67.80, MoCA percent retention memory scores, F(9,1828) = 11.662, and MoCA executive function scores, F(9, 1837) = 35.33, all models were significant at p<0.001. However, only afib (β=-0.05, p<0.05) and stroke (β=-0.05, p<0.05) individually predicted MoCA total scores, diabetes (β=-0.05, p<0.05) predicted poorer memory performance (determined as percent retention), and afib (β=-0.08, p<0.001) predicted poor executive function. As expected, diabetes, afib and other cardiovascular and cerebrovascular conditions and risk factors were prevalent in this Russian urban elderly population. Vascular risk factors differentially predicted cognitive domains, suggesting differential effects of these risk factors within discrete brain systems. These results indicate that timely treatment and effective control of certain vascular risk factors may help maintain cognition in later life.
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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 | 0,001 |
| 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 ».