General description of the two groups.

<p>General description of the two groups.</p

Scatter plot of the improvement in the rhythm reproduction task (accuracy After training—accuracy Before training) and the improvement in the Phonemic blending task (accuracy After training—accuracy Before training).

<p>The ellipse contains the non-outlying data. The grey line represents the best linear fit to the remaining data (Spearman skipped correlation, [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0138715#pone.0138715.ref047" target="_blank">47</a>]). The shadow represents the 95% bootstrap CI.</p

Summary of results before and after training in WISC III Subtests, Auditory attention test, Self Esteem Competence Scale and Musical tasks.

<p>The column “Larger effect of music training” reports whether or not there is a larger and significant improvement in the music training group compared to the painting group (p value<0.05), except in the Block design test wherein the improvement is larger for the Painting group (+). When this is not the case (ns, p>0.05), significant main effects of session are reported (* = p<0.05; ** = p<0.01; *** = p<0.001), pointing to an equal improvement of both groups. The standard deviation from the mean is reported in parenthesis.</p><p>Summary of results before and after training in WISC III Subtests, Auditory attention test, Self Esteem Competence Scale and Musical tasks.</p

Effects of music and painting training on accuracy in the phonemic blending (a) and rhythm reproduction (b) tasks, before and after training.

<p>Error bars indicate the standard error of the mean. Values are z-score normalized.</p

Flow chart illustrating participants’ recruitment and experimental design.

<p>Flow chart illustrating participants’ recruitment and experimental design.</p

Distibution of length of stay (LoS) after childbirth by maternal health factors.

Number; mean LoS (M) ± standard deviation (SD); row percentage (row %). NA = Not applicable.</p

Publication bias assessment of the studies assessing p53-AAbs presence and OS in ovarian cancer.

<p>(<b>A</b>) Funnel plot for publication bias assessment of pooled OS; (<b>B</b>) Egger’s linear regression test.</p

Adolescent Admissions to Emergency Departments for Self-Injurious Thoughts and Behaviors

<div><p>The objective of the present study was to describe the incidence and the characteristics of Self-Injurious Thoughts and Behaviors (SITBs), among adolescents aged 11–18 admitted, over a two year period, to all the Emergency Departments of a Region of North-eastern Italy through a comprehensive analysis of medical records. A two-step search was performed in the regional ED electronic database. First, we identified the cases that had been clearly diagnosed as SITBs by an Emergency Department physician. Secondly, suspect cases were detected through a keyword search of the database, and the medical records of these cases were hand screened to identify SITBs. The mean annual incidence rate of SITBs was 90 per 100,000 adolescents aged 11–18 years. Events were more frequent in females. Drug poisoning was the most frequently adopted method (54%). In 42% of cases a diagnosis of SITB was not explicitly reported by the physician. In 65% of cases adolescents were discharged within hours of admission. Only 9% of patients started a psychiatric assessment and treatment program during hospital stay. This research confirms the high incidence of SITBs among adolescents and highlights the difficulty in their proper diagnosis and management. Such difficulty is confirmed by the fact that only a few patients, even among those with a clear diagnosis, were sent for psychiatric assessment. Correct identification and management of SITB patients needs to be improved, since SITBs are an important public health problem in adolescence and one of the main risk factors for suicide.</p></div

Distribution of length of stay (LoS) after childbirth by socio-demographic and obstetric history factors.

Number (N); mean LoS (M) ± standard deviation (SD); row percentage (row %).</p

Flowchart displaying the various criteria applied to the initial database to obtain the final number of hospital records available for the analysis.

Flowchart displaying the various criteria applied to the initial database to obtain the final number of hospital records available for the analysis.</p