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In the working memory, PD-A groups had lower scores at the backward version of the digit span (p = 0.01).
Among the subtests of the WISC-III, significant improvements in performance were found in Picture Completion (p < 0.01), Picture Arrangement (p < 0.01), Object Assembly (p < 0.05), and Digit Span (p < 0.05).
The results showed that there was a significant increase in FIQ (p < 0.001), VIQ (p < 0.05), PIQ (p < 0.001), Picture completion (p < 0.001), Picture arrangement (p < 0.01), Object assembly (p < 0.05), Digit span (p < 0.05) and POI (p < 0.001) among the ADHD children who received MPH treatment.
This improvement was significant for the TEA DTD (p = 0.02), VLM for 1/s (VLM1/s, p = 0.02) and VLM for 1/2s (VLM1/2s, p = 0.04), but not for the TEA single task (p = 0.06) or Digit Span (p = 0.12; Fig. 5; Table 1).
Within-group analysis of those with type 1 diabetes detected a positive correlation between FA and WISC coding (P = 0.034) and digit span (P = 0.028) subtests, and positive correlations between FA and WISC FSIQ (P = 0.064) and FA and WISC (P = 0.058) processing speed approached significance.
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The hemispheric CE group only presented statistically significant differences in the Stroop (word: p = 0.001 and colour: p < 0.0001) and digits span (p = 0.029) tests.
Of the negative associations for tibia lead, the strongest corresponded to the digit span backwards (p = 0.19) and the alphabetizing span tests (p = 0.23), both tests of attention and working memory.
And for girls, there was a significant negative association of UAs only with the WISC-RM Digit Span Subscale (p < 0.05).
This was confirmed by multiple regression, which showed that the L/L/L score remained significantly correlated with attention and digit span backward (p = 0.03) even when group membership was included in the regression.
The groups did not differ significantly on Digit Span-forward (p = .532), missed go responses (p = .753), Stroop congruent total errors (p = .928) or in CogstateTM Identification time (p = .487).487
After adjustment for sex, race, region, poverty, parent education and marital status, ferritin, and blood lead concentration, there was a significant inverse relationship between serum cotinine and scores on reading (β= −2.69, p = 0.001), math (β= −1.93, p = 0.01), and block design (β= −0.55, p < 0.001) but not digit span (β= −0.08, p = 0.52).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com