Cognitive Performance and Everyday Functionality in Healthy Greek Seniors
Notice bibliographique
Résumé
Introduction: The examination of seniors’ mental health and ability to live independently gains increasingly attention (European Commission, 2014; Hertzog, Kramer, Wilson, & Lindenberger, 2009; Word Economic Forum, 2015). This relation has been examined largely in individuals that are reaching or have bridged the threshold of various forms of age-related neuropathology and disability (Cullum et al.,2002; Farias et al., 2011) . Recent meta-analysis depicts a moderate relation between cognitive performance and everyday functionality (Martyr and Clare, 2012; Royal et al., 2007).. No analogous effort for the examination of cognitive performance and everyday functionality in the healthy spectrum of aging exists. Everyday functionality should be examined in a culturally sensitive manner (Cherner, 2010) Aim: This study was set out to examine the relation between cognitive performance (CP) and everyday functionality (EF) in neuropsychologically intact seniors in Greece Results: EF scores declined statistically significant with age. CP (except TMT-A) was statistically correlated with EF. Neuropsychological measures and demographics explained a similar proportion of the variance in EF. Memory, age, education, and income where statistically significant independent predictors of EF. Conclusion: CP and EF in neuropsychologically intact Greek older adults seems to be related. This relation is small to moderate. The “pure” effect of aging on EF seems to be moderate. Better memory, greater education, and larger income seem to be significant contributors of better EF in older age. METHODS • Performance in everyday functionality measures declined statistically significant with age (-.471 -.481). • Performance in neuropsychological assessments (except TMT-A) and everyday functionality assessments where statistically significant correlated (.217 .388). • In a regression analysis, statistically significant models emerged that explained 36.7% 58.5% of the variance in everyday functionality. The cognitive measures explained 20% 29% of the variance, whereas demographics 22% 33% of the variance. All everyday functionality measures were independently predicted by memory, age and education. RESULTS (CLICK TO EDIT) Participants : 104 cognitively Greek neuropsychologically intact seniors ( Mage = 59.91, SD = 10.86),Petersen’s (2004) criteria for the detection of Mild Cognitive Impairment were applied. Instruments: A battery of neuropsychological tests: • Mini Mental State Examination (Fountoulakis et al., 2000) • Montreal Cognitive Assessment (Kounti et al., 2007) • Verbal Fluency, Trail Making Test A and B (Vlachou & Kosmidou, 2002) • Greek version of the California Verbal Learning Test (Vlachou et al., 2012) They also completed two everyday functionality tests, which were modified to reflect the local cultural context (Cherner, 2010) • Greek versions of the Observed tasks of Daily Living – Revised (Diehl et al., 2005). • Everyday Problem Test (Willis, 1993) Both cognitive performance and everyday functionality assessments were carefully chosen to be sensitive in fluctuations of performance in the healthy spectrum of aging (Moore, Palmer, Patterson, & Jeste, 2007; Pavlidis & Vivas, 2013; Royal et al., 2007). Demographics : The participants reported their age, education, and income. Ethics: The study received ethics approval from the Department of Sociological Studies in the University of Sheffield. It was concluded that the performance of neuropsychologically intact Greek older adults on neuropsychological and everyday functional assessments is related. This relation is small to moderate. Everyday functionality is declining with age, although the “pure” effect of aging is moderate. Age seems not to be the sole contributing factor in everyday functionality decline. Poorer education and lower income seem to be a significant influential factors as well. From the cognitive domains, memory seems to have a pivotal role in the maintenance of a good everyday functionality in older age. CONCLUSIONS RESULTS Memory Age Education Income AR2 cognition AR 2 demographics AR 2 OTDL-Gscore .197* -.308* .271** .211* 20 22 36.7 EPT-Gscore .200* -.191* .503** 29 33 58.5
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».