TY - JOUR
T1 - The associations of socioeconomic position with structural brain damage and connectivity and cognitive functioning
T2 - The Maastricht Study
AU - Geraets, Anouk F. J.
AU - Schram, Miranda T.
AU - Jansen, Jacobus F. A.
AU - Kohler, Sebastian
AU - van Boxtel, Martin P. J.
AU - Eussen, Simone J. P. M.
AU - Koster, Annemarie
AU - Stehouwer, Coen D. A.
AU - Bosma, Hans
AU - Leist, Anja K.
PY - 2024/8/1
Y1 - 2024/8/1
N2 - Background: Socioeconomic inequalities in cognitive impairment may partly act through structural brain damage and reduced connectivity. This study investigated the extent to which the association of early-life socioeconomic position (SEP) with later-life cognitive functioning is mediated by later-life SEP, and whether the associations of SEP with later-life cognitive functioning can be explained by structural brain damage and connectivity. Methods: We used cross-sectional data from the Dutch population-based Maastricht Study (n = 4,839; mean age 59.2 +/- 8.7 years, 49.8% women). Early-life SEP was assessed by self-reported poverty during childhood and parental education. Later-life SEP included education, occupation, and current household income. Participants underwent cognitive testing and 3-T magnetic resonance imaging to measure volumes of white matter hyperintensities, grey matter, white matter, cerebrospinal fluid, and structural connectivity. Multiple linear regression analyses tested the associations between SEP, markers of structural brain damage and connectivity, and cognitive functioning. Mediation was tested using structural equation modeling. Results: Although there were direct associations between both indicators of SEP and later-life cognitive functioning, a large part of the association between early-life SEP and later-life cognitive functioning was explained by later-life SEP (72.2%). The extent to which structural brain damage or connectivity acted as mediators between SEP and cognitive functioning was small (up to 5.9%). Conclusions: We observed substantial SEP differences in later-life cognitive functioning. Associations of structural brain damage and connectivity with cognitive functioning were relatively small, and only marginally explained the SEP gradients in cognitive functioning.
AB - Background: Socioeconomic inequalities in cognitive impairment may partly act through structural brain damage and reduced connectivity. This study investigated the extent to which the association of early-life socioeconomic position (SEP) with later-life cognitive functioning is mediated by later-life SEP, and whether the associations of SEP with later-life cognitive functioning can be explained by structural brain damage and connectivity. Methods: We used cross-sectional data from the Dutch population-based Maastricht Study (n = 4,839; mean age 59.2 +/- 8.7 years, 49.8% women). Early-life SEP was assessed by self-reported poverty during childhood and parental education. Later-life SEP included education, occupation, and current household income. Participants underwent cognitive testing and 3-T magnetic resonance imaging to measure volumes of white matter hyperintensities, grey matter, white matter, cerebrospinal fluid, and structural connectivity. Multiple linear regression analyses tested the associations between SEP, markers of structural brain damage and connectivity, and cognitive functioning. Mediation was tested using structural equation modeling. Results: Although there were direct associations between both indicators of SEP and later-life cognitive functioning, a large part of the association between early-life SEP and later-life cognitive functioning was explained by later-life SEP (72.2%). The extent to which structural brain damage or connectivity acted as mediators between SEP and cognitive functioning was small (up to 5.9%). Conclusions: We observed substantial SEP differences in later-life cognitive functioning. Associations of structural brain damage and connectivity with cognitive functioning were relatively small, and only marginally explained the SEP gradients in cognitive functioning.
KW - PARTICIPANTS AGED 24-81
KW - SMALL VESSEL DISEASE
KW - NORMATIVE DATA
KW - TISSUE SEGMENTATION
KW - EDUCATION
KW - RESERVE
KW - RISK
KW - SEX
U2 - 10.1016/j.socscimed.2024.117111
DO - 10.1016/j.socscimed.2024.117111
M3 - Article
SN - 0277-9536
VL - 355
JO - Social Science & Medicine
JF - Social Science & Medicine
M1 - 117111
ER -