Well-being, distress and health status in a population of adolescent students

The present work explores the psychosocial issues emerging from a large cross-sectional study aimed to assess the prevalence, clinical manifestations, and psychosocial correlates of hyperandrogenism in a population of Italian high school students. Participants were 1804 adolescents, aged between 15 and 19 years, who volunteered to fill in a package of self-report questionnaires (including the Psychosocial Index, the Symptom Questionnaire and Ryff’s Psychological Well-Being scales for the assessment of psychological aspects) and undergo a comprehensive physical examination. Significant gender differences were found with regard to psychological distress, with females reporting higher scores compared with males, but not on well-being dimensions. The relationships of well-being to distress were found to be complex. Although inversely associated, well-being and ill-being appeared to be distinct domains of mental functioning. The evaluation of the moderating effects of well-being in the association between stress and psychological distress indicated that well-being may act as a protective factor, contributing to less pronounced psychological distress as stress levels increased. Higher rates of somatic complaints were found among current smokers. However, substance use (i.e., smoking and drug use) was also found to be positively associated with some well-being dimensions. A considerable number of participants were found to present with disordered eating symptoms, particularly females, and associated higher stress levels and lower quality of life. Sport activities were found to favourably affect psychological health. As to clinical signs of hyperandrogenism, a significant impairment in psychosocial functioning was found among females, whereas no effects on psychological measures could be detected among males. Subgroups of adolescents with distinct clinical and psychological characteristics could be identified by means of cluster analysis. The present study provides new insights into better understanding of the complex relationships between well-being, distress and health status in the adolescent population, with important clinical implications.

Dati preliminari dello studio multicentrico caso-controllo "Grave danno epatico acuto indotto da farmaci"

Il danno epatico indotto dall'assunzione di farmaci viene comunemente indicato con il termine inglese DILI (Drug-Induced Liver Injury). Il paracetamolo rappresenta la causa più comune di DILI, seguito da antibiotici, FANS e farmaci antitubercolari. In particolare, i FANS sono una delle classi di farmaci maggiormente impiegate in terapia. Numerosi case report descrivono pazienti che hanno sviluppato danno epatico fatale durante il trattamento con FANS; molti di questi farmaci sono stati ritirati dal commercio in seguito a gravi reazioni avverse a carico del fegato. L'ultimo segnale di epatotossicità indotto da FANS è associato alla nimesulide; in alcuni paesi europei come la Finlandia, la Spagna e l'Irlanda, la nimesulide è stata sospesa dalla commercializzazione perché associata ad un'alta frequenza di epatotossicità. Sulla base dei dati disponibili fino a questo momento, l'Agenzia Europea dei Medicinali (EMA) ha recentemente concluso che i benefici del farmaco superano i rischi; un possibile aumento del rischio di epatotossicità associato a nimesulide rimane tuttavia una discussione aperta di cui ancora molto si dibatte. Tra le altre classi di farmaci che possono causare danno epatico acuto la cui incidenza tuttavia non è sempre ben definita sono gli antibiotici, quali amoxicillina e macrolidi, le statine e gli antidepressivi.Obiettivo dello studio è stato quello di determinare il rischio relativo di danno epatico indotto da farmaci con una prevalenza d'uso nella popolazione italiana maggiore o uguale al 6%. E’ stato disegnato uno studio caso controllo sviluppato intervistando pazienti ricoverati in reparti di diversi ospedali d’Italia. Il nostro studio ha messo in evidenza che il danno epatico da farmaci riguarda numerose classi farmacologiche e che la segnalazione di tali reazioni risulta essere statisticamente significativa per numerosi principi attivi. I dati preliminari hanno mostrato un valore di odds ratio significativo statisticamente per la nimesulide, i FANS, alcuni antibiotici come i macrolidi e il paracetamolo.

Spatial and temporal characterisation of ground deformation recorded by geodetic techniques

A critical point in the analysis of ground displacements time series is the development of data driven methods that allow the different sources that generate the observed displacements to be discerned and characterised. A widely used multivariate statistical technique is the Principal Component Analysis (PCA), which allows reducing the dimensionality of the data space maintaining most of the variance of the dataset explained. Anyway, PCA does not perform well in finding the solution to the so-called Blind Source Separation (BSS) problem, i.e. in recovering and separating the original sources that generated the observed data. This is mainly due to the assumptions on which PCA relies: it looks for a new Euclidean space where the projected data are uncorrelated. The Independent Component Analysis (ICA) is a popular technique adopted to approach this problem. However, the independence condition is not easy to impose, and it is often necessary to introduce some approximations. To work around this problem, I use a variational bayesian ICA (vbICA) method, which models the probability density function (pdf) of each source signal using a mix of Gaussian distributions. This technique allows for more flexibility in the description of the pdf of the sources, giving a more reliable estimate of them. Here I present the application of the vbICA technique to GPS position time series. First, I use vbICA on synthetic data that simulate a seismic cycle (interseismic + coseismic + postseismic + seasonal + noise) and a volcanic source, and I study the ability of the algorithm to recover the original (known) sources of deformation. Secondly, I apply vbICA to different tectonically active scenarios, such as the 2009 L'Aquila (central Italy) earthquake, the 2012 Emilia (northern Italy) seismic sequence, and the 2006 Guerrero (Mexico) Slow Slip Event (SSE).