Cathal McCrory
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Articles (7)
This study explores the relationship of life-course intergenerational social mobility with cognitive function and brain structure in older adults using Diagonal Reference Models. Data from the Irish Longitudinal Study on Ageing, a population-based cohort of adults aged 50 years and older (N = 4 620 participants; mean age: 66.1; standard deviation: 9.1; 55% female) was used for analysis. Brain magnetic resonance imaging data were available for 464 participants. Social mobility was characterized as the difference between childhood socioeconomic position (SEP; ie, father’s occupation) and adulthood SEP (ie, own occupation). The Montreal Cognitive Assessment (MoCA), the Mini-Mental State Examination (MMSE), cortical thickness, and total gray matter volume (GMV) served as global cognitive and brain measures. Exploratory analyses included the volumes of the ventromedial prefrontal cortex (vmPFC), anterior cingulate (AC), hippocampus, and amygdala. A social gradient in cognitive function was observed among the intergenerationally stable; brain structure was not as clearly socially patterned. Adulthood SEP was significantly associated with MoCA (weight = 0.76; p < .001), MMSE (weight = 0.91; p < .001), GMV (weight = 0.77; p = .002), and AC volume (weight = 0.76; p < .001), whereas childhood SEP was associated with vmPFC volume (weight = 1.00; p = .003). There was no independent association of social mobility with any of the outcomes. Together our results suggest that both childhood and adulthood SEP are important in shaping later-life brain health, but that adulthood SEP predominates in terms of its influence. This is potentially an important insight as it suggests that brain health may be modifiable if socioeconomic circumstances change.
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2023
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2023
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2023
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2022
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2021
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2021
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2020
Collaborators (5)
Giovanni Fiorito
Istituto Giannina Gaslini
Sara Pedron
Technical University of Munich
Gareth McKay
Reader
The Queen's University Belfast
Cristian Carmeli
Senior Lecturer
University of Fribourg
Giuliana Solinas
Full Professor of Medical Statistics
University of Sassari
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