P4‐534: COUPLED BIVARIATE CHANGES IN C‐REACTIVE PROTEIN AND COGNITION IN LATE LIFE
Notice bibliographique
Résumé
Systemic inflammatory markers, such as C-reactive protein (CRP) have been associated with risk and progression of cognitive impairment. However, most of the work in this area has examined cross-sectional associations or has used single assessments of inflammatory markers as predictors of cognitive change. Repeated assessments of CRP are needed to explore potentially reciprocal associations between inflammation and cognition as these variables fluctuate over time. Data were from 6073 US adults over age 50 (Mage = 66.88 years, 60.05% female) from the Health and Retirement Study who provided blood specimens beginning in 2006. Bivariate growth modeling, an extension of longitudinal structural equation modeling, was used to simultaneously estimate trajectories of CRP and cognition over an eight-year follow-up. Two separate models were estimated. The first model included all available participants and estimated changes in CRP and cognition as a function of time in years since the initial assessment. The second model examined a subset of 445 participants who developed dementia after the baseline assessment with time structured as time to diagnosis. Age, sex, education, chronic conditions, and dementia status were included as covariates on the intercept and slope parameters in both models. In the overall sample, cognition and CRP declined with advancing age. Male participants and those with higher education had lower initial levels of CRP, but greater increases over time. A significant negative correlation (r = −.09, p = .017) was observed between intercepts for CRP and cognitive function, but not between slopes (r = −.07, p = .612). Cognitive intercepts were marginally associated with CRP slopes (r = .11, p = .085), indicating that higher cognitive functioning at baseline predicted less decline or more stable CRP levels across the study. In the dementia subsample, no significant associations were observed in levels or rates of change in CRP and cognition. CRP may predict level of cognitive ability, though these variables do not appear to change concurrently over time. Cognition and CRP were not associated in the subsample with incident dementia, suggesting that CRP may be a better predictor of normative cognitive aging.
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 ».