Internet gambling in relation to Internet addiction,substance use,online sexual engagement and suicidality in a Greek sample

Research has found gambling to be related to a variety of other addictive behaviours. The study objective was to evaluate the association of Internet gambling with Internet addiction, online sexual engagement, suicidality and substance use, in a sample of Greek adults. The study sample consisted of 789 military personnel. During their annual medical examination the study participants anonymously completed a series of self-reported questionnaires in relation to socio-demographic data, Internet gambling practices, online sexual engagement, Internet addiction, suicidality and psychoactive substance use. We found that Internet addiction significantly predicted engagement with online gambling, followed by substance use in general, and, in particular, the use of cocaine or heroin. Finally, two other predictive indicators were self-reported suicide attempts and engagement with online sex. Online gambling is associated with various behaviours related to impulsivity such as Internet addiction, online sexual engagement, suicidality and substance use. Future research will increase our knowledge on the contribution of new technologies and the Internet in Internet gambling dimensions, as well as on the associations with other high-risk behaviours such as substance use, pornography and suicidality.     

Α Markov model for longitudinal studies with incomplete dichotomous outcomes

Missing outcome data constitute a serious threat to the validity and precision of inferences from randomized controlled trials. In this paper, we propose the use of a multistate Markov model for the analysis of incomplete individual patient data for a dichotomous outcome reported over a period of time. The model accounts for patients dropping out of the study and also for patients relapsing. The time of each observation is accounted for, and the model allows the estimation of time‐dependent relative treatment effects. We apply our methods to data from a study comparing the effectiveness of 2 pharmacological treatments for schizophrenia. The model jointly estimates the relative efficacy and the dropout rate and also allows for a wide range of clinically interesting inferences to be made. Assumptions about the missingness mechanism and the unobserved outcomes of patients dropping out can be incorporated into the analysis. The presented method constitutes a viable candidate for analyzing longitudinal, incomplete binary data.