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• W3205061569 abstract "There is a growing recognition that the use of conventional norms (e.g., age, sex, years of education, race) as proxies to capture a broad range of sociocultural variability on cognitive performance is suboptimal, limiting sample representativeness. The present study evaluated the incremental utility of family income, family conflict, and acculturation beyond the established associations of age, gender,maternal years of education, and race on cognitive performance.Hierarchical linear regressions evaluated the incremental utility of sociocultural factors on National Institutes of Health Toolbox in a nationally representative sample of pre-adolescent children (n = 11,878; Mage = 10.0 years; Adolescent Brain Cognitive Development Study). A regression-based norming procedure was implemented for significant models. Paired sample t-tests were used to compare original and newly created demographically corrected T-scores.Nearly all regression models predicted performance on the NIH-TB subtests and composite scores (p < .005). Greater family income and lower family conflict predicted better performance, although the effect sizes were small by traditional standards. Acculturation scores did not explain additional variance in cognitive performance. Lastly, there were no significant differences between the original and newly created demographically corrected T-scores (Mdiff < 0.50).The present study highlights that, although family income, family conflict, and acculturation have been shown to routinely influence cognitive performance in preadolescent children, the NIH-TB appears to be highly robust to individual differences in sociocultural factors in children between ages 9 and 10. Contextual and temporal implications of the present results are discussed." @default.
• W3205061569 created "2021-10-25" @default.
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• W3205061569 date "2021-10-19" @default.
• W3205061569 modified "2023-10-16" @default.
• W3205061569 title "Associations of Family Distress, Family Income, and Acculturation on Pediatric Cognitive Performance Using the NIH Toolbox: Implications for Clinical and Research Settings" @default.
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• W3205061569 doi "https://doi.org/10.1093/arclin/acab082" @default.
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