<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hackman DA</submitter><funding>NICHD NIH HHS</funding><funding>NIDA NIH HHS</funding><funding>NIEHS NIH HHS</funding><pagination>e210426</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8094040</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>175(8)</volume><pubmed_abstract>&lt;h4>Importance&lt;/h4>Neighborhood disadvantage is an important social determinant of health in childhood and adolescence. Less is known about the association of neighborhood disadvantage with youth neurocognition and brain structure, and particularly whether associations are similar across metropolitan areas and are attributed to local differences in disadvantage.&lt;h4>Objective&lt;/h4>To test whether neighborhood disadvantage is associated with youth neurocognitive performance and with global and regional measures of brain structure after adjusting for family socioeconomic status and perceptions of neighborhood characteristics, and to assess whether these associations (1) are pervasive or limited, (2) vary across metropolitan areas, and (3) are attributed to local variation in disadvantage within metropolitan areas.&lt;h4>Design, setting, and participants&lt;/h4>This cross-sectional study analyzed baseline data from the Adolescent Brain and Cognitive Development (ABCD) Study, a cohort study conducted at 21 sites across the US. Participants were children aged 9.00 to 10.99 years at enrollment. They and their parent or caregiver completed a baseline visit between October 1, 2016, and October 31, 2018.&lt;h4>Exposures&lt;/h4>Neighborhood disadvantage factor based on US census tract characteristics.&lt;h4>Main outcomes and measures&lt;/h4>Neurocognition was measured with the NIH Toolbox Cognition Battery, and T1-weighted magnetic resonance imaging was used to assess whole-brain and regional measures of structure. Linear mixed-effects models examined the association between neighborhood disadvantage and outcomes after adjusting for sociodemographic factors.&lt;h4>Results&lt;/h4>Of the 11 875 children in the ABCD Study cohort, 8598 children (72.4%) were included in this analysis. The study sample had a mean (SD) age of 118.8 (7.4) months and included 4526 boys (52.6%). Every 1-unit increase in the neighborhood disadvantage factor was associated with lower performance on 6 of 7 subtests, such as Flanker Inhibitory Control and Attention (unstandardized Β = -0.5; 95% CI, -0.7 to -0.2; false discovery rate (FDR)-corrected P = .001) and List Sorting Working Memory (unstandardized Β = -0.7; 95% CI, -1.0 to -0.3; FDR-corrected P &lt; .001), as well as on all composite measures of neurocognition, such as the Total Cognition Composite (unstandardized Β = -0.7; 95% CI, -0.9 to -0.5; FDR-corrected P &lt; .001). Each 1-unit increase in neighborhood disadvantage was associated with lower whole-brain cortical surface area (unstandardized Β = -692.6 mm2; 95% CI, -1154.9 to -230.4 mm2; FDR-corrected P = .007) and subcortical volume (unstandardized Β = -113.9 mm3; 95% CI, -198.5 to -29.4 mm3; FDR-corrected P = .03) as well as with regional surface area differences, primarily in the frontal, parietal, and temporal lobes. Associations largely remained after adjusting for perceptions of neighborhood safety and were both consistent across metropolitan areas and primarily explained by local variation in each area.&lt;h4>Conclusions and relevance&lt;/h4>This study found that, in the US, local variation in neighborhood disadvantage was associated with lower neurocognitive performance and smaller cortical surface area and subcortical volume in young people. The findings demonstrate that neighborhood disadvantage is an environmental risk factor for neurodevelopmental and population health and enhancing the neighborhood context is a promising approach to improving the health and development of children and adolescents.</pubmed_abstract><journal>JAMA pediatrics</journal><pubmed_title>Association of Local Variation in Neighborhood Disadvantage in Metropolitan Areas With Youth Neurocognition and Brain Structure.</pubmed_title><pmcid>PMC8094040</pmcid><funding_grant_id>U24 DA041123</funding_grant_id><funding_grant_id>U01 DA041117</funding_grant_id><funding_grant_id>U24 DA041147</funding_grant_id><funding_grant_id>R01 ES031074</funding_grant_id><funding_grant_id>U01 DA041174</funding_grant_id><funding_grant_id>U01 DA041134</funding_grant_id><funding_grant_id>U01 DA041156</funding_grant_id><funding_grant_id>U01 DA041093</funding_grant_id><funding_grant_id>U01 DA051037</funding_grant_id><funding_grant_id>U01 DA041106</funding_grant_id><funding_grant_id>U01 DA041028</funding_grant_id><funding_grant_id>U01 DA041089</funding_grant_id><funding_grant_id>R01 ES032295</funding_grant_id><funding_grant_id>U01 DA041022</funding_grant_id><funding_grant_id>U01 DA041120</funding_grant_id><funding_grant_id>U01 DA041148</funding_grant_id><funding_grant_id>U01 DA041048</funding_grant_id><funding_grant_id>U01 DA041025</funding_grant_id><funding_grant_id>U01 DA051039</funding_grant_id><funding_grant_id>U01 DA051016</funding_grant_id><funding_grant_id>U01 DA051038</funding_grant_id><funding_grant_id>U01 DA051018</funding_grant_id><funding_grant_id>R21 HD099596</funding_grant_id><funding_grant_id>U01 DA050988</funding_grant_id><funding_grant_id>P30 ES007048</funding_grant_id><funding_grant_id>U01 DA050987</funding_grant_id><funding_grant_id>P01 ES022845</funding_grant_id><funding_grant_id>U01 DA050989</funding_grant_id><pubmed_authors>Chen JC</pubmed_authors><pubmed_authors>McConnell R</pubmed_authors><pubmed_authors>Herting MM</pubmed_authors><pubmed_authors>Minaravesh B</pubmed_authors><pubmed_authors>Hackman DA</pubmed_authors><pubmed_authors>Berhane K</pubmed_authors><pubmed_authors>Cserbik D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Association of Local Variation in Neighborhood Disadvantage in Metropolitan Areas With Youth Neurocognition and Brain Structure.</name><description>&lt;h4>Importance&lt;/h4>Neighborhood disadvantage is an important social determinant of health in childhood and adolescence. Less is known about the association of neighborhood disadvantage with youth neurocognition and brain structure, and particularly whether associations are similar across metropolitan areas and are attributed to local differences in disadvantage.&lt;h4>Objective&lt;/h4>To test whether neighborhood disadvantage is associated with youth neurocognitive performance and with global and regional measures of brain structure after adjusting for family socioeconomic status and perceptions of neighborhood characteristics, and to assess whether these associations (1) are pervasive or limited, (2) vary across metropolitan areas, and (3) are attributed to local variation in disadvantage within metropolitan areas.&lt;h4>Design, setting, and participants&lt;/h4>This cross-sectional study analyzed baseline data from the Adolescent Brain and Cognitive Development (ABCD) Study, a cohort study conducted at 21 sites across the US. Participants were children aged 9.00 to 10.99 years at enrollment. They and their parent or caregiver completed a baseline visit between October 1, 2016, and October 31, 2018.&lt;h4>Exposures&lt;/h4>Neighborhood disadvantage factor based on US census tract characteristics.&lt;h4>Main outcomes and measures&lt;/h4>Neurocognition was measured with the NIH Toolbox Cognition Battery, and T1-weighted magnetic resonance imaging was used to assess whole-brain and regional measures of structure. Linear mixed-effects models examined the association between neighborhood disadvantage and outcomes after adjusting for sociodemographic factors.&lt;h4>Results&lt;/h4>Of the 11 875 children in the ABCD Study cohort, 8598 children (72.4%) were included in this analysis. The study sample had a mean (SD) age of 118.8 (7.4) months and included 4526 boys (52.6%). Every 1-unit increase in the neighborhood disadvantage factor was associated with lower performance on 6 of 7 subtests, such as Flanker Inhibitory Control and Attention (unstandardized Β = -0.5; 95% CI, -0.7 to -0.2; false discovery rate (FDR)-corrected P = .001) and List Sorting Working Memory (unstandardized Β = -0.7; 95% CI, -1.0 to -0.3; FDR-corrected P &lt; .001), as well as on all composite measures of neurocognition, such as the Total Cognition Composite (unstandardized Β = -0.7; 95% CI, -0.9 to -0.5; FDR-corrected P &lt; .001). Each 1-unit increase in neighborhood disadvantage was associated with lower whole-brain cortical surface area (unstandardized Β = -692.6 mm2; 95% CI, -1154.9 to -230.4 mm2; FDR-corrected P = .007) and subcortical volume (unstandardized Β = -113.9 mm3; 95% CI, -198.5 to -29.4 mm3; FDR-corrected P = .03) as well as with regional surface area differences, primarily in the frontal, parietal, and temporal lobes. Associations largely remained after adjusting for perceptions of neighborhood safety and were both consistent across metropolitan areas and primarily explained by local variation in each area.&lt;h4>Conclusions and relevance&lt;/h4>This study found that, in the US, local variation in neighborhood disadvantage was associated with lower neurocognitive performance and smaller cortical surface area and subcortical volume in young people. The findings demonstrate that neighborhood disadvantage is an environmental risk factor for neurodevelopmental and population health and enhancing the neighborhood context is a promising approach to improving the health and development of children and adolescents.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Aug</publication><modification>2025-04-04T10:16:39.935Z</modification><creation>2025-04-04T10:16:39.935Z</creation></dates><accession>S-EPMC8094040</accession><cross_references><pubmed>33938908</pubmed><doi>10.1001/jamapediatrics.2021.0426</doi></cross_references></HashMap>