English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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 &lt;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.

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