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Child Neuropsychology
A Journal on Normal and Abnormal Development in Childhood and Adolescence
Volume 29, 2023 - Issue 7: Congenital Heart Disease Through a Neuropsychological Lens of Analysis
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Research Article

Social-environmental factors as mediators of IQ and achievement differences across race groups in adolescents with high risk congenital heart disease

, , ORCID Icon, & ORCID Icon
Pages 1003-1020 | Received 01 Apr 2022, Accepted 22 Aug 2022, Published online: 15 Sep 2022
 

ABSTRACT

An increasing number of neuropsychologists are evaluating children with congenital heart disease (CHD). When conceptualizing results, the provider must consider medical risks such as abnormal neuroimaging and comorbidities, along with social risks such as socioeconomic status. The aim of the current study was to examine the influence of parent income and education on IQ and achievement across race groups in adolescents with CHD, while also accounting for medical risk (e.g., gestational age, number of ventricles, neuroimaging). This is a single-center cross-sectional study, including 92 children ages 12–19 years (median 14.9 years; 59% male; 71% White; 29% Black) with high risk CHD (i.e., cardiac surgery <12 months) who were referred for a neuropsychological evaluation. Retrospective data were retrieved from a larger clinical registry. Patients completed an intellectual assessment (WISC-V; WAIS-IV; WASI-II), Word Reading and Math Calculation tests. Parents completed questionnaires assessing the family environment [income, parent education]. Results revealed significant differences in IQ when comparing children who were Black versus White (11.4 point IQ difference); however, around 70% of this variance was explained by parent income and education. Medical variables accounted for 12% of the variance in IQ. For academics, parent income and education accounted for 91.5% and 78.8% of the variance in race group differences for reading and math, respectively. Medical risk and sex explained 11.7% and 14.7% of the variance in reading and math, respectively. Findings suggest that sociodemographic factors should be weighed heavily during the neuropsychological evaluation, including prioritizing risk, making recommendations, and facilitating referrals.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

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