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Direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition

A child’s socio-economic environment can profoundly affect their development. While existing literature focusses on simplified metrics and pair-wise relations between few variables, we aimed to capture complex interrelationships between several relevant domains using a broad assessment of 519 childr...

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Autores principales: Dalmaijer, Edwin S., Gibbons, Sophie G., Bignardi, Giacomo, Anwyl-Irvine, Alexander L., Siugzdaite, Roma, Smith, Tess A., Uh, Stepheni, Johnson, Amy, Astle, Duncan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614555/
https://www.ncbi.nlm.nih.gov/pubmed/37215737
http://dx.doi.org/10.1007/s12144-021-02232-2
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author Dalmaijer, Edwin S.
Gibbons, Sophie G.
Bignardi, Giacomo
Anwyl-Irvine, Alexander L.
Siugzdaite, Roma
Smith, Tess A.
Uh, Stepheni
Johnson, Amy
Astle, Duncan E.
author_facet Dalmaijer, Edwin S.
Gibbons, Sophie G.
Bignardi, Giacomo
Anwyl-Irvine, Alexander L.
Siugzdaite, Roma
Smith, Tess A.
Uh, Stepheni
Johnson, Amy
Astle, Duncan E.
author_sort Dalmaijer, Edwin S.
collection PubMed
description A child’s socio-economic environment can profoundly affect their development. While existing literature focusses on simplified metrics and pair-wise relations between few variables, we aimed to capture complex interrelationships between several relevant domains using a broad assessment of 519 children aged 7–9 years. Our analyses comprised three multivariate techniques that complimented each other, and worked at different levels of granularity. First, an exploratory factor analysis (principal component analysis followed by varimax rotation) revealed that our sample varied along continuous dimensions of cognition, attitude and mental health (from parallel analysis); with potentially emerging dimensions speed and socio-economic status (passed Kaiser’s criterion). Second, k-means cluster analysis showed that children did not group into discrete phenotypes. Third, a network analysis on the basis of bootstrapped partial correlations (confirmed by both cross-validated LASSO and multiple comparisons correction of binarised connection probabilities) uncovered how our developmental measures interconnected: educational outcomes (reading and maths fluency) were directly related to cognition (short-term memory, number sense, processing speed, inhibition). By contrast, mental health (anxiety and depression symptoms) and attitudes (conscientiousness, grit, growth mindset) showed indirect relationships with educational outcomes via cognition. Finally, socio-economic factors (neighbourhood deprivation, family affluence) related directly to educational outcomes, cognition, mental health, and even grit. In sum, cognition is a central cog through which mental health and attitude relate to educational outcomes. However, through direct relations with all components of developmental outcomes, socio-economic status acts as a great ‘unequaliser’. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-021-02232-2.
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spelling pubmed-76145552023-05-20 Direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition Dalmaijer, Edwin S. Gibbons, Sophie G. Bignardi, Giacomo Anwyl-Irvine, Alexander L. Siugzdaite, Roma Smith, Tess A. Uh, Stepheni Johnson, Amy Astle, Duncan E. Curr Psychol Article A child’s socio-economic environment can profoundly affect their development. While existing literature focusses on simplified metrics and pair-wise relations between few variables, we aimed to capture complex interrelationships between several relevant domains using a broad assessment of 519 children aged 7–9 years. Our analyses comprised three multivariate techniques that complimented each other, and worked at different levels of granularity. First, an exploratory factor analysis (principal component analysis followed by varimax rotation) revealed that our sample varied along continuous dimensions of cognition, attitude and mental health (from parallel analysis); with potentially emerging dimensions speed and socio-economic status (passed Kaiser’s criterion). Second, k-means cluster analysis showed that children did not group into discrete phenotypes. Third, a network analysis on the basis of bootstrapped partial correlations (confirmed by both cross-validated LASSO and multiple comparisons correction of binarised connection probabilities) uncovered how our developmental measures interconnected: educational outcomes (reading and maths fluency) were directly related to cognition (short-term memory, number sense, processing speed, inhibition). By contrast, mental health (anxiety and depression symptoms) and attitudes (conscientiousness, grit, growth mindset) showed indirect relationships with educational outcomes via cognition. Finally, socio-economic factors (neighbourhood deprivation, family affluence) related directly to educational outcomes, cognition, mental health, and even grit. In sum, cognition is a central cog through which mental health and attitude relate to educational outcomes. However, through direct relations with all components of developmental outcomes, socio-economic status acts as a great ‘unequaliser’. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-021-02232-2. Springer US 2021-09-04 2023 /pmc/articles/PMC7614555/ /pubmed/37215737 http://dx.doi.org/10.1007/s12144-021-02232-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dalmaijer, Edwin S.
Gibbons, Sophie G.
Bignardi, Giacomo
Anwyl-Irvine, Alexander L.
Siugzdaite, Roma
Smith, Tess A.
Uh, Stepheni
Johnson, Amy
Astle, Duncan E.
Direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition
title Direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition
title_full Direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition
title_fullStr Direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition
title_full_unstemmed Direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition
title_short Direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition
title_sort direct and indirect links between children’s socio-economic status and education: pathways via mental health, attitude, and cognition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614555/
https://www.ncbi.nlm.nih.gov/pubmed/37215737
http://dx.doi.org/10.1007/s12144-021-02232-2
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