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The disruption in the normal sleep architecture, hypoxemia, and hypercapnia caused by OSAHS could have an effect on prefrontal cortex lesions which play an important role in recognition and identification and finally affect children intelligence and attention [ 21].
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Kaufman's critique of the literature on the associations between lead exposure and child intelligence raises important methodological and inferential points.
Mismeasurement of potential confounders of the lead IQ relationship, such as parenting skills, parental intelligence, maternal smoking during pregnancy, or otitis media can either strengthen or weaken the estimated association between exposure and child intelligence.
Harden and Mendle (2011) used Add Health data within a biometrical design and found that the relationship between intelligence and AFI was fully accounted for by shared environmental differences, suggesting at least the location of the causal mechanism — the part of the household environment shared by siblings that influences both child intelligence and AFI.
Number of additional children in the home was not significantly associated with child intelligence.
Both maternal and child intelligence were higher than in the overall US general population.
Table 2 presents results of regression analyses relating WAs and child intelligence.
Our analysis plan first considered covariate-unadjusted associations between exposure and child intelligence (Model 1).
Scores have consistently been linked to child intelligence and achievement [ 22- 24].
Children from families with missing data on the HOME obtained lower scores on some measures of child intelligence.
Most other remaining covariates were associated with child intelligence in the expected direction but were not significant.
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CEO of Professional Science Editing for Scientists @ prosciediting.com