The Risky Health Behaviours of Male Adolescents in the Southern Italian Region: Implications for Sexual and Reproductive Disease.

Recent epidemiological studies suggest an increase of sexual and reproductive chronic diseases caused by problematic behaviours acquired during peri-pubertal age. The aims of our study were: (i) to investigate awareness of sexual transmitted infections (STIs) among adolescents; (ii) to describe the close relationship between possibly incorrect lifestyles during adolescence and reproductive and sexual disturbances during adulthood. The "Amico-Andrologo" survey is a permanent nationwide surveillance program supported by the Italian Ministry of Health.

NFKB1 promoter polymorphism: A new predictive marker of cytomegalovirus infection after kidney transplantation.

Introduction: Cytomegalovirus (CMV) infection represents a common cause of morbidity and mortality in kidney transplant recipients (KTR). The NF-kB signaling pathway is highly involved in the pathogenesis of CMV infection. The -94ins/delATTG functional polymorphism in the promoter of NFKB1 has been associated with low intracellular levels of the protein and high incidence of inflammatory and autoimmune disease.

Testosterone in renal transplant patients: effect on body composition and clinical parameters.

Background: Clinical studies have demonstrated that, after renal transplantation (TX), testosterone deficiency (TD) at the time of the procedure is independently associated with lower survival of the patient and graft. However, data between TD and the functional CAG polymorphism of the androgen receptor promoter (AR) are discordant. We investigated the prevalence of TD and its association with body composition, biochemical parameters, the Aging Males' Symptoms rating scale (AMS) domains and AR polymorphism.

Personality biomarkers of pathological gambling: A machine learning study.

Background: The application of artificial intelligence to extract predictors of Gambling disorder (GD) is a new field of study. A plethora of studies have suggested that maladaptive personality dispositions may serve as risk factors for GD.

New Method: Here, we used Classification and Regression Trees algorithm to identify multivariate predictive patterns of personality profiles that could identify GD patients from healthy controls at an individual level.