RESUMO
INTRODUCTION: The evidence for characteristics of persons with subjective cognitive decline (SCD) associated with amyloid positivity is limited. METHODS: In 1640 persons with SCD from 20 Amyloid Biomarker Study cohort, we investigated the associations of SCD-specific characteristics (informant confirmation, domain-specific complaints, concerns, feelings of worse performance) demographics, setting, apolipoprotein E gene (APOE) ε4 carriership, and neuropsychiatric symptoms with amyloid positivity. RESULTS: Between cohorts, amyloid positivity in 70-year-olds varied from 10% to 76%. Only older age, clinical setting, and APOE ε4 carriership showed univariate associations with increased amyloid positivity. After adjusting for these, lower education was also associated with increased amyloid positivity. Only within a research setting, informant-confirmed complaints, memory complaints, attention/concentration complaints, and no depressive symptoms were associated with increased amyloid positivity. Feelings of worse performance were associated with less amyloid positivity at younger ages and more at older ages. DISCUSSION: Next to age, setting, and APOE ε4 carriership, SCD-specific characteristics may facilitate the identification of amyloid-positive individuals.
Assuntos
Amiloidose , Disfunção Cognitiva , Humanos , Amiloide , Proteínas Amiloidogênicas , Apolipoproteína E4/genética , Biomarcadores , Encéfalo/metabolismo , Disfunção Cognitiva/genética , Disfunção Cognitiva/psicologia , Tomografia por Emissão de PósitronsRESUMO
The aim of this study was to investigate the relationship between personality traits, tobacco consumption, physical inactivity, obesity markers and metabolic components as cardiovascular risk factors (CVRFs). A total of 2543 participants from the general population (CoLaus|PsyCoLaus) had provided complete information on physical health and unhealthy behaviors and completed the Revised NEO Five-Factor Inventory. Our results show a strong cross-correlation between obesity markers and metabolic components suggesting that their combination could represent an important CVRF. Moreover, socio-demographic characteristics, tobacco consumption, and physical inactivity were associated with both obesity markers and metabolic components latent traits. The conscientiousness personality trait was significantly associated with obesity markers, but played a modest role. Indeed, higher conscientiousness was associated with lower level of obesity indicators. However, no link between personality and metabolic components were found. In sum, our data suggest that health related behaviours have more effect on the development of cardiovascular diseases than personality traits.