Age-Related Eye Disease and Cognitive Function
Notice bibliographique
Résumé
PurposeAge-related eye disease may be associated with cognitive decline, but the scientific literature has not been consistent. Furthermore, no studies have been able to explain the relationship. Our objective was to assess whether older adults with age-related macular degeneration (AMD) or glaucoma performed worse on 6 cognitive tests compared with older adults with normal vision and, if so, to understand why.DesignCross-sectional analysis of hospital-based study (Maisonneuve-Rosemont Hospital Ophthalmology Clinics, Montréal, Canada).ParticipantsThree hundred thirty-six adults 65 years of age or older with either AMD, glaucoma, or normal vision.MethodsCognition was measured with 6 cognitive tests administered orally. Activity levels were measured using the Victoria Longitudinal Study Activity Lifestyle Questionnaire. Visual acuity and visual field were measured. Multiple linear regression was used. Mediation was assessed using structural equation modeling.Main Outcome MeasuresResults of the verbal fluency test (animal and letter versions), the digit span test (forward and backward versions), and the logical memory test (immediate and delayed recall).ResultsPeople with glaucoma showed lower scores on 3 cognitive tests than the group with normal vision: the digit span forward and backward tests (β = –0.8 [95% confidence interval (CI), –1.5 to –0.2] and β = –0.7 [95% CI, –1.3 to –0.1], respectively) and the logical memory test with immediate recall (β = –1.3 [95% CI, –2.4 to –0.2]). Activity levels statistically significantly mediated the relationship between glaucoma and the digit span forward test (P = 0.043; percentage of the total effect mediated, 17%).ConclusionsPeople with glaucoma showed lower scores on cognitive tests that may depend on verbal working memory and encoding. If confirmed in longitudinal studies, interventions should be developed that are appropriate for a visually impaired population to slow this cognitive decline. Age-related eye disease may be associated with cognitive decline, but the scientific literature has not been consistent. Furthermore, no studies have been able to explain the relationship. Our objective was to assess whether older adults with age-related macular degeneration (AMD) or glaucoma performed worse on 6 cognitive tests compared with older adults with normal vision and, if so, to understand why. Cross-sectional analysis of hospital-based study (Maisonneuve-Rosemont Hospital Ophthalmology Clinics, Montréal, Canada). Three hundred thirty-six adults 65 years of age or older with either AMD, glaucoma, or normal vision. Cognition was measured with 6 cognitive tests administered orally. Activity levels were measured using the Victoria Longitudinal Study Activity Lifestyle Questionnaire. Visual acuity and visual field were measured. Multiple linear regression was used. Mediation was assessed using structural equation modeling. Results of the verbal fluency test (animal and letter versions), the digit span test (forward and backward versions), and the logical memory test (immediate and delayed recall). People with glaucoma showed lower scores on 3 cognitive tests than the group with normal vision: the digit span forward and backward tests (β = –0.8 [95% confidence interval (CI), –1.5 to –0.2] and β = –0.7 [95% CI, –1.3 to –0.1], respectively) and the logical memory test with immediate recall (β = –1.3 [95% CI, –2.4 to –0.2]). Activity levels statistically significantly mediated the relationship between glaucoma and the digit span forward test (P = 0.043; percentage of the total effect mediated, 17%). People with glaucoma showed lower scores on cognitive tests that may depend on verbal working memory and encoding. If confirmed in longitudinal studies, interventions should be developed that are appropriate for a visually impaired population to slow this cognitive decline.
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) | 0,002 | 0,001 |
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 ».