The right kind of smart: emotional intelligence's relationship to cognitive status in community-dwelling older adults

A conceptual model for achieving well-being in adults with mild cognitive impairment

OBJECTIVE

Low well-being is common among people with Mild Cognitive Impairment (MCI). We propose a model to examine how different types of resources work together to maintain well-being in people with MCI.

METHODS

Participants included 121 community dwelling adults over the age of 60 who were diagnosed with MCI. Structural equation modeling assessed suggested relationships between resources and well-being.

RESULTS

Emotional intelligence, general mental ability, morbidity, economic status, basic activities of daily living, and age were correlated to well-being in a triple mediation process through cognitive function, instrumental activities of daily living, and social support. Model fit was excellent (RMSEA-0.04; IFI-.96; CFI-.96; CMIN/DF-1.23), CONCLUSION: Achieving well-being when coping with MCI requires a combination of objective resources and subjective evaluation of the situation. Ultimately, social support determines an individual's level of well-being. Findings suggest the need to understand what kind of social support is required by those coping with MCI.

Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence

Network efficiency characterizes how information flows within a network, and it has been used to study the neural basis of cognitive intelligence in adolescence, young adults, and elderly adults, in terms of the white matter in the human brain and functional connectivity networks. However, there were few studies investigating whether the human brain at different ages exhibited different underpins of cognitive and emotional intelligence (EI) from young adults to the middle-aged group, especially in terms of the morphological similarity networks in the human brain. In this study, we used 65 datasets (aging 18–64), including sMRI and behavioral measurements, to study the associations of network efficiency with cognitive intelligence and EI in young adults and the middle-aged group. We proposed a new method of defining the human brain morphological networks using the morphological distribution similarity (including cortical volume, surface area, and thickness). Our results showed inverted age × network efficiency interactions in the relationship of surface-area network efficiency with cognitive intelligence and EI: a negative age × global efficiency (nodal efficiency) interaction in cognitive intelligence, while a positive age × global efficiency (nodal efficiency) interaction in EI. In summary, this study not only proposed a new method of morphological similarity network but also emphasized the developmental effects on the brain mechanisms of intelligence from young adult to middle-aged groups and may promote mental health study on the middle-aged group in the future.