The associations of socioeconomic status with structural brain damage and connectivity and cognition: The Maastricht Study

Background Socioeconomic inequalities in the risk for cognitive impairment have been reported, which might partly act through structural brain damage or differential numbers of brain connections (structural connectivity). This study investigated the extent to which the association of early‐life soci...

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Veröffentlicht in:Alzheimer's & dementia 2023-12, Vol.19 (S22), p.n/a
Hauptverfasser: Geraets, Anouk F.J., Schram, Miranda T., Köhler, Sebastian, Jansen, Jacobus F.A., van Boxtel, Martin P.J., Koster, Annemarie, Stehouwer, Coen D.A., Bosma, Hans, Leist, Anja K.
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container_issue S22
container_start_page
container_title Alzheimer's & dementia
container_volume 19
creator Geraets, Anouk F.J.
Schram, Miranda T.
Köhler, Sebastian
Jansen, Jacobus F.A.
van Boxtel, Martin P.J.
Koster, Annemarie
Stehouwer, Coen D.A.
Bosma, Hans
Leist, Anja K.
description Background Socioeconomic inequalities in the risk for cognitive impairment have been reported, which might partly act through structural brain damage or differential numbers of brain connections (structural connectivity). This study investigated the extent to which the association of early‐life socioeconomic status (SES) with later‐life cognitive performance is mediated by later‐life SES, and whether the association of SES with later‐life cognitive performance can be explained by structural brain damage and connectivity. Method We used cross‐sectional data from the population‐based Maastricht study (n = 4,839; mean age 59.2±8.7 years, 49.8% women). Early‐life SES was assessed retrospectively by self‐reported poverty and parental education. Later‐life SES included education, occupation, and household income. Participants underwent cognitive testing and 3 T magnetic resonance imaging to measure volumes of white matter hyperintensities, gray matter, white matter, cerebrospinal fluid, and structural connectivity. Multiple linear regression analyses tested the associations between SES, brain markers and cognition. Analyses were adjusted for age, sex, and type 2 diabetes (because of oversampling). Structural equation modeling tested mediation. Result Higher SES was associated with higher grey matter volume, lower white matter volume, and higher structural connectivity. Structural brain damage and lower structural connectivity were associated with lower overall cognitive performance. Both higher early‐life and later‐life SES were associated with overall higher cognitive performance (B [95% CI] medium versus low early‐life SES = 0.17[0.12;0.23]; B high versus low early‐life SES = 0.26[0.20;0.32]; B medium versus low later‐life SES = 0.46[0.41;0.52]; B high versus low later‐life SES = 0.72[0.67;0.78]). The association of early‐life SES with later‐life cognitive performance was partly mediated by later‐life SES (73.8%). The extent to which the association of SES with cognitive performance could be explained by structural brain damage or connectivity was marginal (up to 5.9%). Conclusion Though there was an association between early‐life SES and later‐life cognitive performance independent of later‐life SES, a large part of this association could be explained by later‐life SES. Structural brain damage and connectivity marginally explained socioeconomic inequalities in cognitive performance. More research is needed to investigate alternative pathways that explain asso
doi_str_mv 10.1002/alz.072956
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This study investigated the extent to which the association of early‐life socioeconomic status (SES) with later‐life cognitive performance is mediated by later‐life SES, and whether the association of SES with later‐life cognitive performance can be explained by structural brain damage and connectivity. Method We used cross‐sectional data from the population‐based Maastricht study (n = 4,839; mean age 59.2±8.7 years, 49.8% women). Early‐life SES was assessed retrospectively by self‐reported poverty and parental education. Later‐life SES included education, occupation, and household income. Participants underwent cognitive testing and 3 T magnetic resonance imaging to measure volumes of white matter hyperintensities, gray matter, white matter, cerebrospinal fluid, and structural connectivity. Multiple linear regression analyses tested the associations between SES, brain markers and cognition. Analyses were adjusted for age, sex, and type 2 diabetes (because of oversampling). Structural equation modeling tested mediation. Result Higher SES was associated with higher grey matter volume, lower white matter volume, and higher structural connectivity. Structural brain damage and lower structural connectivity were associated with lower overall cognitive performance. Both higher early‐life and later‐life SES were associated with overall higher cognitive performance (B [95% CI] medium versus low early‐life SES = 0.17[0.12;0.23]; B high versus low early‐life SES = 0.26[0.20;0.32]; B medium versus low later‐life SES = 0.46[0.41;0.52]; B high versus low later‐life SES = 0.72[0.67;0.78]). The association of early‐life SES with later‐life cognitive performance was partly mediated by later‐life SES (73.8%). The extent to which the association of SES with cognitive performance could be explained by structural brain damage or connectivity was marginal (up to 5.9%). Conclusion Though there was an association between early‐life SES and later‐life cognitive performance independent of later‐life SES, a large part of this association could be explained by later‐life SES. Structural brain damage and connectivity marginally explained socioeconomic inequalities in cognitive performance. More research is needed to investigate alternative pathways that explain associations of life‐course SES with later‐life cognition.</description><identifier>ISSN: 1552-5260</identifier><identifier>EISSN: 1552-5279</identifier><identifier>DOI: 10.1002/alz.072956</identifier><language>eng</language><ispartof>Alzheimer's &amp; dementia, 2023-12, Vol.19 (S22), p.n/a</ispartof><rights>2023 the Alzheimer's Association.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Falz.072956$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Falz.072956$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Geraets, Anouk F.J.</creatorcontrib><creatorcontrib>Schram, Miranda T.</creatorcontrib><creatorcontrib>Köhler, Sebastian</creatorcontrib><creatorcontrib>Jansen, Jacobus F.A.</creatorcontrib><creatorcontrib>van Boxtel, Martin P.J.</creatorcontrib><creatorcontrib>Koster, Annemarie</creatorcontrib><creatorcontrib>Stehouwer, Coen D.A.</creatorcontrib><creatorcontrib>Bosma, Hans</creatorcontrib><creatorcontrib>Leist, Anja K.</creatorcontrib><title>The associations of socioeconomic status with structural brain damage and connectivity and cognition: The Maastricht Study</title><title>Alzheimer's &amp; dementia</title><description>Background Socioeconomic inequalities in the risk for cognitive impairment have been reported, which might partly act through structural brain damage or differential numbers of brain connections (structural connectivity). This study investigated the extent to which the association of early‐life socioeconomic status (SES) with later‐life cognitive performance is mediated by later‐life SES, and whether the association of SES with later‐life cognitive performance can be explained by structural brain damage and connectivity. Method We used cross‐sectional data from the population‐based Maastricht study (n = 4,839; mean age 59.2±8.7 years, 49.8% women). Early‐life SES was assessed retrospectively by self‐reported poverty and parental education. Later‐life SES included education, occupation, and household income. Participants underwent cognitive testing and 3 T magnetic resonance imaging to measure volumes of white matter hyperintensities, gray matter, white matter, cerebrospinal fluid, and structural connectivity. Multiple linear regression analyses tested the associations between SES, brain markers and cognition. Analyses were adjusted for age, sex, and type 2 diabetes (because of oversampling). Structural equation modeling tested mediation. Result Higher SES was associated with higher grey matter volume, lower white matter volume, and higher structural connectivity. Structural brain damage and lower structural connectivity were associated with lower overall cognitive performance. Both higher early‐life and later‐life SES were associated with overall higher cognitive performance (B [95% CI] medium versus low early‐life SES = 0.17[0.12;0.23]; B high versus low early‐life SES = 0.26[0.20;0.32]; B medium versus low later‐life SES = 0.46[0.41;0.52]; B high versus low later‐life SES = 0.72[0.67;0.78]). The association of early‐life SES with later‐life cognitive performance was partly mediated by later‐life SES (73.8%). The extent to which the association of SES with cognitive performance could be explained by structural brain damage or connectivity was marginal (up to 5.9%). Conclusion Though there was an association between early‐life SES and later‐life cognitive performance independent of later‐life SES, a large part of this association could be explained by later‐life SES. Structural brain damage and connectivity marginally explained socioeconomic inequalities in cognitive performance. More research is needed to investigate alternative pathways that explain associations of life‐course SES with later‐life cognition.</description><issn>1552-5260</issn><issn>1552-5279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kEFLAzEQhYMoWKsXf0HOwtbMpkkbb6VoFSoerBcvSzpJ2sh2I5usZfvr3aXFo6d5M3zvDTxCboGNgLH8XpeHEZvkSsgzMgAh8kzkE3X-pyW7JFcxfjE2ZlMQA3JYbS3VMQb0OvlQRRoc7bdgMVRh55HGpFMT6d6nbafrBlNT65Kua-0ravROb7qEytCOrywm_-NTezpsKt-HPtD-y6vWnd3jNtH31Jj2mlw4XUZ7c5pD8vH0uJo_Z8u3xct8tswQgMvMyNwgTEFOuRJWrc3YwQSArcfKISLPkTvFgKNw4CS3zmlluETO0DopkA_J3TEX6xBjbV3xXfudrtsCWNG3VnStFcfWOhiO8N6Xtv2HLGbLz5PnF-L3cqk</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Geraets, Anouk F.J.</creator><creator>Schram, Miranda T.</creator><creator>Köhler, Sebastian</creator><creator>Jansen, Jacobus F.A.</creator><creator>van Boxtel, Martin P.J.</creator><creator>Koster, Annemarie</creator><creator>Stehouwer, Coen D.A.</creator><creator>Bosma, Hans</creator><creator>Leist, Anja K.</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202312</creationdate><title>The associations of socioeconomic status with structural brain damage and connectivity and cognition: The Maastricht Study</title><author>Geraets, Anouk F.J. ; Schram, Miranda T. ; Köhler, Sebastian ; Jansen, Jacobus F.A. ; van Boxtel, Martin P.J. ; Koster, Annemarie ; Stehouwer, Coen D.A. ; Bosma, Hans ; Leist, Anja K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1136-d62dc18168395e9bd4f17110b49fccc32c3f9013c5f1f63effa9d36c30cef65c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Geraets, Anouk F.J.</creatorcontrib><creatorcontrib>Schram, Miranda T.</creatorcontrib><creatorcontrib>Köhler, Sebastian</creatorcontrib><creatorcontrib>Jansen, Jacobus F.A.</creatorcontrib><creatorcontrib>van Boxtel, Martin P.J.</creatorcontrib><creatorcontrib>Koster, Annemarie</creatorcontrib><creatorcontrib>Stehouwer, Coen D.A.</creatorcontrib><creatorcontrib>Bosma, Hans</creatorcontrib><creatorcontrib>Leist, Anja K.</creatorcontrib><collection>CrossRef</collection><jtitle>Alzheimer's &amp; dementia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Geraets, Anouk F.J.</au><au>Schram, Miranda T.</au><au>Köhler, Sebastian</au><au>Jansen, Jacobus F.A.</au><au>van Boxtel, Martin P.J.</au><au>Koster, Annemarie</au><au>Stehouwer, Coen D.A.</au><au>Bosma, Hans</au><au>Leist, Anja K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The associations of socioeconomic status with structural brain damage and connectivity and cognition: The Maastricht Study</atitle><jtitle>Alzheimer's &amp; dementia</jtitle><date>2023-12</date><risdate>2023</risdate><volume>19</volume><issue>S22</issue><epage>n/a</epage><issn>1552-5260</issn><eissn>1552-5279</eissn><abstract>Background Socioeconomic inequalities in the risk for cognitive impairment have been reported, which might partly act through structural brain damage or differential numbers of brain connections (structural connectivity). This study investigated the extent to which the association of early‐life socioeconomic status (SES) with later‐life cognitive performance is mediated by later‐life SES, and whether the association of SES with later‐life cognitive performance can be explained by structural brain damage and connectivity. Method We used cross‐sectional data from the population‐based Maastricht study (n = 4,839; mean age 59.2±8.7 years, 49.8% women). Early‐life SES was assessed retrospectively by self‐reported poverty and parental education. Later‐life SES included education, occupation, and household income. Participants underwent cognitive testing and 3 T magnetic resonance imaging to measure volumes of white matter hyperintensities, gray matter, white matter, cerebrospinal fluid, and structural connectivity. Multiple linear regression analyses tested the associations between SES, brain markers and cognition. Analyses were adjusted for age, sex, and type 2 diabetes (because of oversampling). Structural equation modeling tested mediation. Result Higher SES was associated with higher grey matter volume, lower white matter volume, and higher structural connectivity. Structural brain damage and lower structural connectivity were associated with lower overall cognitive performance. Both higher early‐life and later‐life SES were associated with overall higher cognitive performance (B [95% CI] medium versus low early‐life SES = 0.17[0.12;0.23]; B high versus low early‐life SES = 0.26[0.20;0.32]; B medium versus low later‐life SES = 0.46[0.41;0.52]; B high versus low later‐life SES = 0.72[0.67;0.78]). The association of early‐life SES with later‐life cognitive performance was partly mediated by later‐life SES (73.8%). The extent to which the association of SES with cognitive performance could be explained by structural brain damage or connectivity was marginal (up to 5.9%). Conclusion Though there was an association between early‐life SES and later‐life cognitive performance independent of later‐life SES, a large part of this association could be explained by later‐life SES. Structural brain damage and connectivity marginally explained socioeconomic inequalities in cognitive performance. More research is needed to investigate alternative pathways that explain associations of life‐course SES with later‐life cognition.</abstract><doi>10.1002/alz.072956</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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