RPM Scores associated to the bullying victim categories (χ² distances).

<p>Positive and higher values of χ² distances are indicative of and strong association. Negative score are indicative of a lack of association.</p

Results from logistic regressions with RPM, father education, and mother education as predictors.

<p>*<i>p</i><.05;</p><p>**<i>p</i><.01.</p

Population and random sampling for the countries diagnosed.

<p><i>n</i> = Sample achieved, <i>N</i> = Population. The table grade range (5 to 8th) represents the Chilean academic curricula including student of eight- to thirteen-year olds approximately.</p

RPM's five level score relating fluid intelligence with psychosocial adaptation.

<p>The scoring was based on previous standardized studies reported in Chile in a sample of 4258 students (Ivanovic et al. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0024858#pone.0024858-Ivanovic1" target="_blank">[6]</a>). Using this parameter a relatively normal participant distribution was observed in our five score levels: Score 1: 5.3%; Score 2:19.4%; Score 3: 48.2%; Score 4:19.9; Score 5: 7.2%.</p

RPM Scores associated to the bullying victimizer categories (χ² distances).

<p>Positive and higher values of χ² distances are indicative of and strong association. Negative score are indicative of a lack of association.</p

Bi-spatial diagram showing the relation between bullying behavior and SMP score (victimizer and victim).

<p>Circles display groups of categories close together.</p

The relation between RPM and psychosocial outcome (drug intake, violence, self-esteem and mental health).

<p>(a) RPM scores and annual prevalence of drug intake (%). (b) RPM scores and annual prevalence's percentages of moderate (MPV) and intense physical violence (IPV). (C) RPM scores and self-esteem (Means and <i>S.D</i>.). RPM score and perceived mental health (Means and <i>S.D.</i>). In each subfigure (a, b, c, d), RPM measures of fluid intelligence are presented from left (Higher levels of intelligence) to right (Lower levels of intelligence).</p

Associations between breast milk macronutrient classes and hormones to infant serum metabolites at 4 months of age.

<p>Breast milk components were measured at month 1 (a) or month 4 (b). Negative log-transformed P-values are plotted for each metabolite arranged by metabolite group and species. Higher values represented in the outer circles present a higher association between metabolite and predictor. P-values were calculated by linear regression models with the milk compound as independent variable, adjusted for infant sex, breastfeeding status at 4-month blood withdrawal (exclusively BF yes/no), and the infant’s age at blood withdrawal. Random intercepts were modelled for batch number and study centre. P-values were corrected (PLME) for multiple testing using Bonferroni’s methods, this is by dividing the p-value with number of metabolites (n = 184).</p

Characteristics of the infant/mother pairs studied with breast milk samples available at month 1 and month 4.

<p>Characteristics of the infant/mother pairs studied with breast milk samples available at month 1 and month 4.</p

Correlations between breast milk fatty acids percentages to infant serum metabolites at 4 months of age.

<p>Breast milk components were measured at month 1 (a) or month 4 (b). Spearman correlation coefficients are plotted for each metabolite arranged by metabolite group. AA, amino acids; Carn, acylcarnitines; LPC, lysophosphatidylcholines; PC aa, diacyl-phosphatidylcholines; PC ae, acyl-alkyl-phosphatidylcholines SM, sphingomyelins.</p