Objectives: Dispersion in cognitive test performance within a single testing session is proposed as an early marker of poor brain health. Existing research, however, has not investigated factors that may explain individual differences in cognitive dispersion. We investigate the extent to which the Big Five personality traits are associated with cognitive dispersion in older adulthood.
Method: To promote transparency and reliability, we applied preregistration and conceptual replication via coordinated analysis. Drawing data from seven longitudinal studies of aging ( = 33,581; range = 56.4-71.2), cognitive dispersion scores were derived from cognitive test results. Independent linear regression models were fit in each study to examine personality traits as predictors of dispersion scores, adjusting for mean cognitive performance and sociodemographics (age, sex, education). Results from individual studies were synthesized using random effects meta-analyses.
Results: Synthesized results revealed that openness was positively associated with cognitive dispersion, 0.028, 95% CI [0.003, 0.054]. There was minimal evidence for associations between cognitive dispersion and the other personality traits in independent analyses or meta-analyses. Mean cognitive scores were negatively associated with cognitive dispersion across the majority of studies, while sociodemographic variables were not consistently associated with cognitive dispersion.
Conclusion: Higher levels of openness were associated with greater cognitive dispersion across seven independent samples, indicating that individuals higher in openness had more dispersion across cognitive tests. Further research is needed to investigate mechanisms that may help to explain the link between openness and cognitive dispersion, as well as to identify additional individual factors, beyond personality traits, that may be associated with cognitive dispersion. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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http://dx.doi.org/10.1037/neu0000782 | DOI Listing |
Sleep
January 2025
UR2NF-Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre for Research in Cognition and Neurosciences and UNI - ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Enhancing the retention of recent memory traces through sleep reactivation is possible via Targeted Memory Reactivation (TMR), involving cueing learned material during post-training sleep. Evidence indicates detectable short-term microstructural changes in the brain within an hour after motor sequence learning, and post-training sleep is believed to contribute to the consolidation of these motor memories, potentially leading to enduring microstructural changes. In this study, we explored how TMR during post-training sleep affects performance gains and delayed microstructural remodeling, using both standard Diffusion Tensor Imaging (DTI) and advanced Neurite Orientation Dispersion & Density Imaging (NODDI).
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
December 2024
Department of Psychology, North Dakota State University, Fargo, ND, USA.
Objectives: Although research has shown that higher levels of within-person variability across cognitive tasks (dispersion) are associated with cognitive decline in clinical samples, little is known about dispersion in comparatively younger, non-clinical, and national samples. A better understanding of dispersion is needed to elucidate for whom and under what circumstances dispersion can be used as a reliable indicator of cognitive health.
Method: We used data from the Midlife in the United States Study (MIDUS; n = 2,229; Mage = 56 years, range = 33-83; 56% female) to: (a) characterize dispersion and its cross-sectional correlates in a non-clinical, adult lifespan sample and (b) examine changes in dispersion over time to determine for whom changes in dispersion may reflect better or worse cognitive aging.
Arch Clin Neuropsychol
January 2025
School of Nursing, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Cognitive intra-individual variability (IIV) is a sensitive marker of neuropathology and is increased in people with HIV (PWH). In a sample of PWH from the United States Deep South, we examined the relationship of cognitive IIV with cognitive impairment and social determinants of health (SDoH). This secondary analysis included 131 PWH from a larger cognitive training protocol.
View Article and Find Full Text PDFPsychother Res
January 2025
Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
This study applied a mixed-methods approach to investigate rater effects that might affect case report evaluation in China. In the quantitative phase, we randomly assigned 210 mental health professionals to the experienced or novice ratee condition to rate the same structured case report on assessment and formulation, intervention strategy, relationship, and self-reflection. The qualitative phase was subsequently conducted to help make sense of the results.
View Article and Find Full Text PDFJ Exp Biol
January 2025
Department of Life Sciences, University of Trieste, Trieste, Italy.
Artificial light at night (ALAN) has emerged as a significant ecological disruptor, affecting various behavioral and physiological processes in numerous species. This study investigated the impact of ALAN on the risk-related behaviors and activity patterns of the ground-dwelling isopod, Porcellionides pruinosus. Isopods were exposed to three different illuminance conditions (<0.
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