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. We administered a validated structured interview to investigate the lifestyle of adolescents and their knowledge of STIs. We selected a cohort of 360 male high-school students aged ≥18 years old. In this cohort, 150 (41.5%) were smokers while 59 (19.7%) smoked more than 10 cigarettes/day; 25 (9.3%) declared a consumption ≥6 drinks/weekend; and 65 (19.7%) were habitual cannabis consumers (at least twice/week). Among the sample of students selected, the main sources of sexual disease information were the internet and friends. The perceived level of knowledge on STIs was the same between students that used contraceptive methods and students that did not. The present results demonstrate that adolescents in Calabria do not receive appropriate information about risky health behaviours. Therefore, there is a necessity for specific educational programs to increase awareness of dangerous behaviours during the transitional age that is relevant for a safe sexual and reproductive adult life.

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. In this study, we evaluated the association of this NFKB1 polymorphism with the risk of CMV infection. METHODS: CMV infection was defined as virus isolation or detection of viral antigens or nucleic acid in any body fluid or tissue specimen. Using Cox regression and survival analysis, we analyzed the association between the polymorphism and CMV infection as well as recurrence in the first 12 months after transplantation. RESULTS: We analyzed the -94ins/delATTG NFKB1 polymorphism of 189 KTRs. The 65% of CMV infections occurred in ins/ins group. Survival free from CMV infection was 54.7% for ins/ins group and 79.4% for deletion carriers one year after transplantation (P < 0.0001). At multivariate regression, deletion carriers showed a lower risk of CMV infection and recurrence with respect to ins/ins KTRs (HR = 0.224 P = 0.0002; HR = 0.307, P = 0.012, respectively). CONCLUSIONS: In conclusion, pretransplantation screening for NFKB1 -94ins/delATTG polymorphism may predict CMV infection and improve the management of patients at higher risk of infection in the post-transplant period.

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. METHODS: In 112 TX patients, we assessed the AMS, biochemical/hormonal (FSH/LH/TT) anthropometric/bioimpedance analysis parameters, and AR CAG polymorphism of AR by gene sequencing. RESULTS: Median values of total testosterone (TT) were 340 ng/dl and 52% of TX patients were affected by TD. Significant correlations between TT and FSH and FSH and LH (p = 0.005, p < 0.0001, respectively) were found. TD patients had lower estimated glomerular filtration rate (eGFR) and hemoglobin (Hb) (p = 0.034, p = 0.022 respectively) and showed higher values of C-reactive protein (p = 0.023) and fat tissue index/adipose tissue mass (p = 0.034 and p = 0.021, respectively), and lower values of serum albumin (p = 0.003) and high-density lipoprotein-cholesterol (p = 0.038) levels. Significant differences were found in the number of patients on mammalian target of rapamycin inhibitors immunosuppressant therapy (p = 0.045). Logistic regression analysis did not show any correlation between age, AMS scores, TT or CAG repeat length, gonadotropins, time of the transplant, and dialysis. CONCLUSIONS: Our results suggest that in TX recipients an appropriate sexual hormonal evaluation should be performed, as we found a high prevalence of TD. However, further studies are needed to clarify the association between TD and patient and graft survival.

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. Forty psychiatric patients, recruited from specialized gambling clinics, without any additional comorbidity and 160 matched healthy controls completed the Five-Factor model of personality as measured by the NEO-PI-R, which were used to build the classification model. RESULTS: Classification algorithm was able to discriminate individuals with GD from controls with an AUC of 77.3% (95% CI 0.65-0.88, p<0.0001). A multidimensional construct of traits including sub-facets of openness, neuroticism and conscientiousness was employed by algorithm for classification detection. COMPARISON WITH EXISTING METHOD(S): To the best of our knowledge, this is the first study that combines behavioral data with machine learning approach useful to extract multidimensional features characterizing GD realm. CONCLUSION: Our study provides a proof-of-concept demonstrating the potential of the proposed approach for GD diagnosis. The multivariate combination of personality facets characterizing individuals with GD can potentially be used to assess subjects' vulnerability in clinical setting.