Results

The study identifies three psychological profiles associated with distinct patterns of cognitive and brain decline in ageing. The research, which analysed more than 1,000 volunteers from the BBHI and the international Medit-Ageing study, shows that the specific psychological characteristics of each profile may influence the risk of developing dementia, as well as aspects such as the speed of brain decline and sleep quality.The results show that having a ‘well-balanced’ psychological profile, with moderately high protective factors and moderately low risk factors, is associated with better cognitive and mental health in all measured indicators. On the other hand, a psychological profile with low levels of protective characteristics is associated with poorer cognition, more pronounced brain atrophy and less adherence to healthy lifestyles. Finally, a profile characterised by high levels of negative or risky psychological traits may increase the risk of cognitive decline and dementia through a psycho-affective pathway. 

This BBHI study analyzed the lifestyles of over 3,000 healthy adults aged 40 to 70 over five years, identifying five distinct lifestyle profiles using the K-means clustering technique for longitudinal data. This technique groups individuals based on the similarity in their behavioral trajectories over time. The profiles revealed that those with healthy habits had a lower likelihood of developing diseases, while those with risky habits faced higher risks of diseases, distinguishing between psychiatric, neurological, and cardiovascular conditions. These lifestyle patterns remained stable over time. The results suggest that personalized interventions based on these behavioral patterns could improve health in an increasingly aging society.

This study aimed to validate the "Guttmann Cognitest"®, a digital tool for cognitive assessment, in older adults and individuals of various ages with acquired brain injury. Convergent validity was established by comparing it with the MOCA for older adults and a short neuropsychological assessment for younger individuals. The results indicated strong convergent validity and good specificity and sensitivity, supporting the tool's effectiveness in assessing cognitive function and identifying potential cognitive dysfunctions in both older and clinical populations.

The study validated the "Guttmann Cognitest", a digital solution for cognitive assessment, by comparing it with traditional neuropsychological tests. 274 individuals of different ages participated in the study. The results showed that the Cognitest measures four main cognitive domains, negatively correlates with age, is related to educational level, and has a gender effect. It was concluded that this digital solution is useful for assessing cognitive functioning in large population samples.

The study examines cognitive dispersion, which represents fluctuations in cognitive performance within an individual, in middle-aged adults. 520 healthy volunteers from the Barcelona Brain Health Initiative, aged 40-66, were analyzed and stratified into high and low subjective cognitive complaints (SCC) groups. It was found that cognitive dispersion was negatively related to cognitive performance and resting-state functional connectivity of brain networks but not to white matter integrity. These associations were stronger in those with high SCC, suggesting that cognitive dispersion may serve as an early indicator of age-related cognitive and functional changes in middle age.