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Item type:Publication, The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations(2023) ;Hernando Santamaria-Garcia ;Sebastian Moguilner ;Odir Antonio Rodriguez-Villagra ;Felipe Botero-RodriguezStefanie Danielle Pina-Escudero<jats:title>Abstract</jats:title><jats:p>Global initiatives call for further understanding of the impact of inequity on aging across underserved populations. Previous research in low- and middle-income countries (LMICs) presents limitations in assessing combined sources of inequity and outcomes (i.e., cognition and functionality). In this study, we assessed how social determinants of health (SDH), cardiometabolic factors (CMFs), and other medical/social factors predict cognition and functionality in an aging Colombian population. We ran a cross-sectional study that combined theory- (structural equation models) and data-driven (machine learning) approaches in a population-based study (<jats:italic>N</jats:italic> = 23,694;<jats:italic>M</jats:italic> = 69.8 years) to assess the best predictors of cognition and functionality. We found that a combination of SDH and CMF accurately predicted cognition and functionality, although SDH was the stronger predictor. Cognition was predicted with the highest accuracy by SDH, followed by demographics, CMF, and other factors. A combination of SDH, age, CMF, and additional physical/psychological factors were the best predictors of functional status. Results highlight the role of inequity in predicting brain health and advancing solutions to reduce the cognitive and functional decline in LMICs.</jats:p>Scopus© Citations 10 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Moral Emotions and Their Brain Structural Correlates Across Neurodegenerative Disorders(2023) ;Sandra Baez ;Catalina Trujillo-Llano ;Leonardo Cruz de Souza ;Patricia LilloGonzalo Forno<jats:p>Background: Although social cognition is compromised in patients with neurodegenerative disorders such as behavioral variant frontotemporal dementia (bvFTD) and Alzheimer’s disease (AD), research on moral emotions and their neural correlates in these populations is scarce. No previous study has explored the utility of moral emotions, compared to and in combination with classical general cognitive state tools, to discriminate bvFTD from AD patients. Objective: To examine self-conscious (guilt and embarrassment) and other-oriented (pity and indignation) moral emotions, their subjective experience, and their structural brain underpinnings in bvFTD (n = 31) and AD (n = 30) patients, compared to healthy controls (n = 37). We also explored the potential utility of moral emotions measures to discriminate bvFTD from AD. Methods: We used a modified version of the Moral Sentiment Task measuring the participants’ accuracy scores and their emotional subjective experiences. Results: bvFTD patients exhibited greater impairments in self-conscious and other-oriented moral emotions as compared with AD patients and healthy controls. Moral emotions combined with general cognitive state tools emerged as useful measures to discriminate bvFTD from AD patients. In bvFTD patients, lower moral emotions scores were associated with lower gray matter volumes in caudate nucleus and inferior and middle temporal gyri. In AD, these scores were associated with lower gray matter volumes in superior and middle frontal gyri, middle temporal gyrus, inferior parietal lobule and supramarginal gyrus. Conclusion: These findings contribute to a better understanding of moral emotion deficits across neurodegenerative disorders, highlighting the potential benefits of integrating this domain into the clinical assessment.</jats:p>24Scopus© Citations 3