Impact of a Mobile E-Health Intervention on Binge Drinking in Young People: The Digital-Alcohol Risk Alertness Notifying Network for Adolescents and Young Adults Project.

Purpose: Binge drinking (BD) is common among young people. E-Health apps are attractive to them and may be useful for enhancing awareness. We aimed to investigate the impact of a publicly available evidence-based e-Health app (Digital-Alcohol Risk Alertness Notifying Network for Adolescents and Young Adults [D-ARIANNA]), estimating current risk of BD by questions, matching identified risk factors, and providing in percent an overall risk score, accompanied by appropriate images showing mostly contributing factors in summary graphics.

Association between depression and neuropathy in people with type 2 diabetes: a meta-analysis.

Objective: Depression and neuropathy are frequent complications of type 2 diabetes. The current meta-analysis aimed to estimate the association between depression and neuropathy in subjects with type 2 diabetes.

Methods: We systematically searched electronic databases for articles published up to February 2015, providing data on the association between depression and neuropathy in individuals with type 2 diabetes.

Cardiovascular risk factors among people with severe mental illness in Italy: a cross-sectional comparative study.

Objective: This study aimed to explore the prevalence of cardiovascular disease (CVD) risk factors in people with severe mental illness (SMI), estimating its weight on related risks in Southern Europe, an area with distinct dietary traditions. People with SMI may be more likely than general population to have high prevalence of risk factors for CVDs, due to several reasons, including poor health behaviours and psychopharmacological medications.

Method: A cross-sectional study has been conducted, comparing inpatients with and without SMI.

Risk Estimation Modeling and Feasibility Testing for a Mobile eHealth Intervention for Binge Drinking Among Young People: The D-ARIANNA (Digital-Alcohol RIsk Alertness Notifying Network for Adolescents and young adults) Project.

Background: Binge drinking is common among young people but often relevant risk factors are not recognized. eHealth apps, attractive for young people, may be useful to enhance awareness of this problem. We aimed at developing a current risk estimation model for binge drinking, incorporated into an eHealth app--D-ARIANNA (Digital-Alcohol RIsk Alertness Notifying Network for Adolescents and young adults)--for young people.

Prevalence and correlates of binge drinking among young adults using alcohol: a cross-sectional survey.

Background: Although binge drinking prevalence and correlates among young people have been extensively studied in the USA and Northern Europe, less is known for Southern Europe countries with relatively healthier drinking cultures.

Objective: We aimed at analyzing prevalence and correlates of binge drinking in a representative sample of young adults in Italy.

Methods: We conducted a cross-sectional survey among alcohol-consuming young adults.

The prevalence of metabolic syndrome in people with severe mental illness: a mediation analysis.

Background: People with severe mental illness (SMI) generally have high rates of metabolic syndrome (MetS). Proposed explanations remain conjectural. Relatively little is known about Mets in SMI in Southern Europe, an area with generally healthy dietary traditions.

Association between depression and non-fatal overdoses among drug users: a systematic review and meta-analysis.

Background: Assessing factors associated with non-fatal overdose is important as these could be useful to identify individuals with substance use disorders at high risk of adverse outcomes and consequences. Depression may play an important role in terms of overdose risk. We aimed to test if drug users suffering from a depressive disorder might have significantly higher risk of non-fatal overdose as compared with drug users without depression.

Metabolic syndrome in people suffering from posttraumatic stress disorder: a systematic review and meta-analysis.

Background: Previous reports showed a high prevalence of obesity, diabetes, hypertension, and dyslipidemia among people suffering from posttraumatic stress disorder (PTSD). However, there is a lack of reviews that systematically analyze the relationship between PTSD and metabolic syndrome. We conducted a systematic review and meta-analysis aimed at estimating the association between PTSD and metabolic syndrome.