Statistical Analyses
Statistical analyses were conducted by IBM SPSS Statistics 23.0 (IBM Corporation, Armonk, NY). To assess group differences in demographic and electrophysiological (click ABR and FFR) data, categorical variables were analyzed by Chi-square test (Cramer’s V for effect size) and continuous variables with t test (Cohen’s d for effect size) or Mann-Whitney U tests (using the formula r = z/√N, where N = number of cases, for effect size) after assessing the normality distribution by Shapiro–Wilk test. To explore if neonatal adiposity could be linked with our FFR results, two-tailed Pearson’s or Spearman’s correlations (attending to normality distribution criteria) between neonatal BMI and FFR parameters were also computed. Since maternal BMI has been associated with offspring’s cognitive outcomes66, another matrix of correlations with FFR measurements was conducted with this maternal variable. A p-value <.05 was considered statistically significant. Multiple comparisons correction with Bonferroni methods was applied where appropriate.