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Assessment of Neighborhood Poverty, Cognitive Function, and Prefrontal and Hippocampal Volumes in Children

IMPORTANCE: The association between poverty and unfavorable cognitive outcomes is robust, but most research has focused on individual household socioeconomic status (SES). There is increasing evidence that neighborhood context explains unique variance not accounted for by household SES. OBJECTIVE: T...

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Autores principales: Taylor, Rita L., Cooper, Shelly R., Jackson, Joshua J., Barch, Deanna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610187/
https://www.ncbi.nlm.nih.gov/pubmed/33141160
http://dx.doi.org/10.1001/jamanetworkopen.2020.23774
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author Taylor, Rita L.
Cooper, Shelly R.
Jackson, Joshua J.
Barch, Deanna M.
author_facet Taylor, Rita L.
Cooper, Shelly R.
Jackson, Joshua J.
Barch, Deanna M.
author_sort Taylor, Rita L.
collection PubMed
description IMPORTANCE: The association between poverty and unfavorable cognitive outcomes is robust, but most research has focused on individual household socioeconomic status (SES). There is increasing evidence that neighborhood context explains unique variance not accounted for by household SES. OBJECTIVE: To evaluate whether neighborhood poverty (NP) is associated with cognitive function and prefrontal and hippocampal brain structure in ways that are dissociable from household SES. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used a baseline sample of the ongoing longitudinal Adolescent Brain Cognitive Development (ABCD) Study. The ABCD Study will follow participants for assessments each year for 10 years. Data were collected at 21 US sites, mostly within urban and suburban areas, between September 2019 and October 2018. School-based recruitment was used to create a participant sample reflecting the US population. Data analysis was conducted from March to June 2019. MAIN OUTCOMES AND MEASURES: NP and household SES were included as factors potentially associated with National Institutes of Health Toolbox Cognitive Battery subtests and hippocampal and prefrontal (dorsolateral prefrontal cortex [DLPFC], dorsomedial PFC [DMPFC], superior frontal gyrus [SFG]) volumes. Independent variables were first considered individually and then together in mixed-effects models with age, sex, and intracranial volume as covariates. Structural equation modeling (SEM) was used to assess shared variance in NP to brain structure and cognitive task associations. The tested hypotheses were formulated after data collection. RESULTS: A total of 11 875 children aged 9 and 10 years (5678 [47.8%] girls) were analyzed. Greater NP was associated with lower scores across all cognitive domains (eg, total composite: β = −0.18; 95% CI, −0.21 to −0.15; P < .001) and with decreased brain volume in the DLPFC (eg, right DLPFC: β = −0.09; 95% CI, −0.12 to −0.07; P < .001), DMPFC (eg, right DMPC: β = −0.07; 95% CI, −0.09 to −0.05; P < .001), SFG (eg, right SFG: β = −0.05; 95% CI, −0.08 to −0.03; P < .001), and right hippocampus (β = −0.04; 95% CI, −0.06 to −0.01; P = .01), even when accounting for household income. Greater household income was associated with higher scores across all cognitive domains (eg, total composite: β = 0.30; 95% CI, 0.28 to 0.33; P < .001) and larger volume in all prefrontal and hippocampal brain regions (eg, right hippocampus: β = 0.04; 95% CI, 0.02 to 0.07; P < .001) even when accounting for NP. The SEM model was a good fit across all cognitive domains, with prefrontal regions being associated with NP relations to language (picture vocabulary: estimate [SE], –0.03 [0.01]; P < .001; oral reading: estimate [SE], –0.02 [0.01]; P < .001), episodic memory (picture sequence: estimate [SE], –0.02 [0.01]; P = .008), and working memory (dimensional card sort: estimate [SE], –0.02 [0.01]; P = .001; flanker inhibitory control: estimate [SE], –0.01 [0.01]; P = .01; list sorting: estimate [SE], –0.03 [0.01]; P < .001) and hippocampal regions being associated with NP associations with language (picture vocabulary: estimate [SE], –0.01 [0.004]; P < .001) and episodic memory (picture sequence: estimate [SE], –0.01 [0.004]; P < 0.001). CONCLUSIONS AND RELEVANCE: In this study, NP accounted for unique variance in cognitive function and prefrontal and right hippocampal brain volume. These findings demonstrate the importance of including broader environmental influences when conceptualizing early life adversity.
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spelling pubmed-76101872020-11-10 Assessment of Neighborhood Poverty, Cognitive Function, and Prefrontal and Hippocampal Volumes in Children Taylor, Rita L. Cooper, Shelly R. Jackson, Joshua J. Barch, Deanna M. JAMA Netw Open Original Investigation IMPORTANCE: The association between poverty and unfavorable cognitive outcomes is robust, but most research has focused on individual household socioeconomic status (SES). There is increasing evidence that neighborhood context explains unique variance not accounted for by household SES. OBJECTIVE: To evaluate whether neighborhood poverty (NP) is associated with cognitive function and prefrontal and hippocampal brain structure in ways that are dissociable from household SES. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used a baseline sample of the ongoing longitudinal Adolescent Brain Cognitive Development (ABCD) Study. The ABCD Study will follow participants for assessments each year for 10 years. Data were collected at 21 US sites, mostly within urban and suburban areas, between September 2019 and October 2018. School-based recruitment was used to create a participant sample reflecting the US population. Data analysis was conducted from March to June 2019. MAIN OUTCOMES AND MEASURES: NP and household SES were included as factors potentially associated with National Institutes of Health Toolbox Cognitive Battery subtests and hippocampal and prefrontal (dorsolateral prefrontal cortex [DLPFC], dorsomedial PFC [DMPFC], superior frontal gyrus [SFG]) volumes. Independent variables were first considered individually and then together in mixed-effects models with age, sex, and intracranial volume as covariates. Structural equation modeling (SEM) was used to assess shared variance in NP to brain structure and cognitive task associations. The tested hypotheses were formulated after data collection. RESULTS: A total of 11 875 children aged 9 and 10 years (5678 [47.8%] girls) were analyzed. Greater NP was associated with lower scores across all cognitive domains (eg, total composite: β = −0.18; 95% CI, −0.21 to −0.15; P < .001) and with decreased brain volume in the DLPFC (eg, right DLPFC: β = −0.09; 95% CI, −0.12 to −0.07; P < .001), DMPFC (eg, right DMPC: β = −0.07; 95% CI, −0.09 to −0.05; P < .001), SFG (eg, right SFG: β = −0.05; 95% CI, −0.08 to −0.03; P < .001), and right hippocampus (β = −0.04; 95% CI, −0.06 to −0.01; P = .01), even when accounting for household income. Greater household income was associated with higher scores across all cognitive domains (eg, total composite: β = 0.30; 95% CI, 0.28 to 0.33; P < .001) and larger volume in all prefrontal and hippocampal brain regions (eg, right hippocampus: β = 0.04; 95% CI, 0.02 to 0.07; P < .001) even when accounting for NP. The SEM model was a good fit across all cognitive domains, with prefrontal regions being associated with NP relations to language (picture vocabulary: estimate [SE], –0.03 [0.01]; P < .001; oral reading: estimate [SE], –0.02 [0.01]; P < .001), episodic memory (picture sequence: estimate [SE], –0.02 [0.01]; P = .008), and working memory (dimensional card sort: estimate [SE], –0.02 [0.01]; P = .001; flanker inhibitory control: estimate [SE], –0.01 [0.01]; P = .01; list sorting: estimate [SE], –0.03 [0.01]; P < .001) and hippocampal regions being associated with NP associations with language (picture vocabulary: estimate [SE], –0.01 [0.004]; P < .001) and episodic memory (picture sequence: estimate [SE], –0.01 [0.004]; P < 0.001). CONCLUSIONS AND RELEVANCE: In this study, NP accounted for unique variance in cognitive function and prefrontal and right hippocampal brain volume. These findings demonstrate the importance of including broader environmental influences when conceptualizing early life adversity. American Medical Association 2020-11-03 /pmc/articles/PMC7610187/ /pubmed/33141160 http://dx.doi.org/10.1001/jamanetworkopen.2020.23774 Text en Copyright 2020 Taylor RL et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Taylor, Rita L.
Cooper, Shelly R.
Jackson, Joshua J.
Barch, Deanna M.
Assessment of Neighborhood Poverty, Cognitive Function, and Prefrontal and Hippocampal Volumes in Children
title Assessment of Neighborhood Poverty, Cognitive Function, and Prefrontal and Hippocampal Volumes in Children
title_full Assessment of Neighborhood Poverty, Cognitive Function, and Prefrontal and Hippocampal Volumes in Children
title_fullStr Assessment of Neighborhood Poverty, Cognitive Function, and Prefrontal and Hippocampal Volumes in Children
title_full_unstemmed Assessment of Neighborhood Poverty, Cognitive Function, and Prefrontal and Hippocampal Volumes in Children
title_short Assessment of Neighborhood Poverty, Cognitive Function, and Prefrontal and Hippocampal Volumes in Children
title_sort assessment of neighborhood poverty, cognitive function, and prefrontal and hippocampal volumes in children
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610187/
https://www.ncbi.nlm.nih.gov/pubmed/33141160
http://dx.doi.org/10.1001/jamanetworkopen.2020.23774
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