17 research outputs found

    Mood is a key determinant of cognitive performance in community-dwelling older adults: a cross-sectional analysis

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    First Online: 06 October 2012Identification of predictors of cognitive trajectories through the establishment of composite or single-parameter dimensional categories of cognition and mood may facilitate development of strategies to improve quality of life in the elderly. Participants (n = 487, aged 50+ years) were representative of the Portuguese population in terms of age, gender, and educational status. Cognitive and mood profiles were established using a battery of neurocognitive and psychological tests. Data were subjected to principal component analysis to identify core dimensions of cognition and mood, encompassing multiple test variables. Dimensions were correlated with age and with respect to gender, education, and occupational status. Cluster analysis was applied to isolate distinct patterns of cognitive performance and binary logistic regression models to explore interrelationships between aging, cognition, mood, and socio-demographic characteristics. Four main dimensions were identified: memory, executive function, global cognitive status, and mood. Based on these, strong and weak cognitive performers were distinguishable. Cluster analysis revealed further distinction within these two main categories into very good, good, poor, and very poor performers. Mood was the principal factor contributing to the separation between very good and good, as well as poor and very poor, performers. Clustering was also influenced by gender and education, albeit to a lesser extent; notably, however, female gender × lower educational background predicted significantly poorer cognitive performance with increasing age. Mood has a significant impact on the rate of cognitive decline in the elderly. Gender and educational level are early determinants of cognitive performance in later life.This work was funded by the European Commission (FP7) “SwitchBox” (Contract HEALTH-F2-2010-259772). NCS is supported by a SwitchBox post-doctoral fellowship. We are thankful to all study participants. The authors would like to acknowledge all colleagues who assisted with participant recruitment and evaluation

    Mood and cognition in healthy older European adults: the Zenith study

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    YesBackground: The study aim was to determine if state and trait intra-individual measures of everyday affect predict cognitive functioning in healthy older community dwelling European adults (n = 387), aged 55-87 years. Methods: Participants were recruited from centres in France, Italy and Northern Ireland. Trait level and variability in positive and negative affect (PA and NA) were assessed using self-administered PANAS scales, four times a day for four days. State mood was assessed by one PANAS scale prior to assessment of recognition memory, spatial working memory, reaction time and sustained attention using the CANTAB computerized test battery. Results: A series of hierarchical regression analyses were carried out, one for each measure of cognitive function as the dependent variable, and socio-demographic variables (age, sex and social class), state and trait mood measures as the predictors. State PA and NA were both predictive of spatial working memory prior to looking at the contribution of trait mood. Trait PA and its variability were predictive of sustained attention. In the final step of the regression analyses, trait PA variability predicted greater sustained attention, whereas state NA predicted fewer spatial working memory errors, accounting for a very small percentage of the variance (1-2%) in the respective tests. Conclusion: Moods, by and large, have a small transient effect on cognition in this older sample

    Introduction to the special issue on prosociality in adult development and aging: Advancing theory within a multilevel framework.

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    Prosociality refers to a broad set of behavioral, motivational, cognitive, affective, and social processes that contribute to, and/or are focused on, the welfare of others. This overview summarizes 10 articles included in the special issue on this topic. In discussing this research relative to existing theories, we situate this work within Penner et al.'s (Annual Review of Psychology, 56, 2005, 365-392) multilevel framework that recognizes distinct yet integrated levels of analysis to characterize micro- (i.e., intraindividual), meso- (i.e., interpersonal), and macro- (i.e., sociocultural and organizational contexts) level effects. While there is some evidence for lifespan continuity in prosocial dispositions at the micro level, the influences of long-term learning and socialization processes at the meso and macro levels are likely to be maximized in older age. Aside from formal voluteering, the adult lifespan development of prosociality has only recently received attention, especially with respect to influences beyond the micro level. This special issue encompasses research examining developmental change and stability in prosociality that collectively cuts across levels of analysis to inform theories in both adult development and aging and prosociality more generally. We propose future directions that take an integrative approach to understanding the development of prosociality by considering interactions among micro, meso, and macro levels. (PsycInfo Database Record (c) 2021 APA, all rights reserved)
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