<i>Background:</i> A 6-month naturalistic, randomized and open-label, trial of topiramate versus naltrexone was conducted, with assessments at enrollment and after 3 and 6 months of treatment. 182 alcohol-dependent patients who had been drinking heavily during the past month were included. <i>Methods:</i>Outcome was measured using tools that assessed alcohol intake, cravings, disability, and quality of life; changes in biomarkers of alcohol intake were also used. <i>Results:</i> At the 6-month evaluation, patients taking topiramate had significantly lower scores on the OCDS (all subscales), the EuropASI (medical, alcohol, family/social, and psychiatric) and the WHO/DAS (employment/social). More patients taking topiramate remained in the abstinence group and the moderate drinking without problems group. <i>Conclusions:</i> Topiramate at a mean dose of 200 mg/day was better than naltrexone at a mean dose of 50 mg/day at reducing alcohol intake and cravings throughout the study.
<b><i>Background:</i></b> Data on associations between cannabis use and psychopathology, cognition and functional impairment in schizophrenia spectrum disorders (SSD) is controversial. <b><i>Objectives:</i></b> To examine the effect of cannabis on psychopathology, cognition and real-world functioning in SSD patients. <b><i>Method:</i></b> Naturalistic cross-sectional study, 123 clinically stable SSD outpatients. <i>Assessment:</i> demographic and clinical data, psychometric evaluation: Positive and Negative Syndrome, Hamilton Depression Rating, Clinical Global Impression (CGI), Personal and Social Performance and Screen for Cognitive Impairment in Psychiatry (SCIP) scales. Patients were classified as cannabis user patients (CUP) and non cannabis user patients (NCUP) according to self-report, both lifetime and last year. Statistical analysis: chi-square, Student <i>t</i> test, ANOVA (Duncan post hoc), and general linear model analysis for adjusting for antipsychotic doses. <b><i>Results:</i></b> Mean age 40.75, 66.7% male, single (66.7%), prior hospital admissions 2.75, mean length of illness 13.85 years. 53.7% were lifetime cannabis users and 8.9% last year users. Lifetime CUP had more hospitalizations (<i>p</i> = 0.013) at a younger age (<i>p</i> = 0.002), and showed better cognitive functioning globally (CGI-C: <i>p</i> = 0.045) and on working memory and processing speed (SCIP-2: <i>p</i> = 0.039; SCIP-5: <i>p</i> = 0.033) and worse functioning in socially useful activities (<i>p</i> = 0.014) than NCUP. All these differences remained after adjusting for antipsychotic doses. Last year cannabis users had worse mood (Hamilton Depression Rating Scale 9.66 vs. 5.64; <i>p</i> = 0.002), but this difference disappears when adjusting for antipsychotic doses. <b><i>Conclusions:</i></b> Lifetime cannabis use is associated with better working memory and processing speed and worse real-world functioning in the area of socially useful activities in patients with schizophrenia-related disorders. Clinicians should, therefore, be aware of it to provide patient-centred care in their daily clinical practice.
<b><i>Aim:</i></b> This cohort study examined how predictors of alcohol dependence treatment outcomes work together over time by comparing pretreatment and posttreatment predictors. <b><i>Methods:</i></b> A sample of 274 alcohol-dependent patients was recruited and assessed at baseline, 6 months after treatment initiation (end of the active intervention phase), and 18 months after treatment initiation (end of the 12-month research follow-up phase). At each assessment point, the participants completed a battery of standardized tests [European Addiction Severity Index (EuropASI), Obsessive Compulsive Drinking Scale (OCDS), Alcohol Timeline Followback (TLFB), Fagerström, and International Personality Disorder Examination (IPDE)] that measured symptom severity and consequences; biological markers of alcohol consumption were also tested at each assessment point. A sequential strategy with univariate and multivariate analyses was used to identify how pretreatment and posttreatment predictors influence outcomes up to 1 year after treatment. <b><i>Results:</i></b> Pretreatment variables had less predictive power than posttreatment ones. OCDS scores and biological markers of alcohol consumption were the most significant variables for the prediction of posttreatment outcomes. Prior pharmacotherapy treatment and relapse prevention interventions were also associated with posttreatment outcomes. <b><i>Conclusions:</i></b> The findings highlight the positive impact of pharmacotherapy during the first 6 months after treatment initiation and of relapse prevention during the first year after treatment and how posttreatment predictors are more important than pretreatment predictors.
Background: The incidence of hospital-treated attempted suicide has not been well established in Spain. Aims: To determine the incidence of suicide attempters presenting to a hospital in Oviedo, Spain, to describe the nature of the suicidal behavior, and to identify sociodemographic subgroups of the population with high rates. Methods: All admitted to the Hospital Universitario Central de Asturias, Oviedo, during the period 1 May 2008 to 30 April 2009 were examined and those meeting the internationally-recognized case definition were identified. Results: A total of 308 suicide attempt presentations (39% male, 61% female) were made by 279 individuals. Almost 90% of the suicide attempts involved a drug overdose. The age-adjusted total, male, and female attempted suicide rates were 83, 66, and 99 per 100,000, respectively. The highest rate was among 35–44-year-olds for men and women (141.1 and 191.8 per 100,000, respectively). Incidence rates varied widely by sociodemographic characteristics with especially high rates among separated/divorced men (2.4%) and women (1.1%). Conclusions: The reported incidence of hospital-treated attempted suicide is below average in the European context but higher than that reported by previous Spanish studies. Persons separated or divorced constitute a high-risk group.
Risk-behaviors are a major contributor to the leading causes of morbidity among adolescents and young people; however, their association with pathological Internet use (PIU) is relatively unexplored, particularly within the European context. The main objective of this study is to investigate the association between risk-behaviors and PIU in European adolescents. This cross-sectional study was conducted within the framework of the FP7 European Union project: Saving and Empowering Young Lives in Europe (SEYLE). Data on adolescents were collected from randomized schools within study sites across eleven European countries. PIU was measured using Young's Diagnostic Questionnaire (YDQ). Risk-behaviors were assessed using questions procured from the Global School-Based Student Health Survey (GSHS). A total of 11,931 adolescents were included in the analyses: 43.4% male and 56.6% female (M/F: 5179/6752), with a mean age of 14.89 ± 0.87 years. Adolescents reporting poor sleeping habits and risk-taking actions showed the strongest associations with PIU, followed by tobacco use, poor nutrition and physical inactivity. Among adolescents in the PIU group, 89.9% were characterized as having multiple risk-behaviors. The significant association observed between PIU and risk-behaviors, combined with a high rate of co-occurrence, underlines the importance of considering PIU when screening, treating or preventing high-risk behaviors among adolescents.
Pathological Internet use (but only with respect to gaming) is classified as mental disorder in the ICD-11. However, there is a large group of adolescents showing excessive Internet use, which may rather be considered adolescent risk-behavior. The aim was to test whether pathological and excessive Internet use should be considered as "psychopathology" or "risk-behavior". A representative, cross-sectional sample of 11.110 students from 10 European Union countries was analyzed. Structural equation models, including the factors "risk-behavior" and "psychopathology" and the variables excessive and pathological Internet use, were tested against each other. "Risk-behavior" was operationalized by several risk-behaviors (e.g. drug abuse, truancy, etc). "Psychopathology" included measures of several mental disorders (e.g. depression, hyperactivity, etc). Excessive Internet use was assessed as the duration and frequency of Internet use. Pathological Internet use was assessed with the Young Diagnostic Questionnaire (i.e., presence of addiction criteria). Excessive Internet use loaded on "risk-behavior" (λ = 0.484, p < .001) and on "psychopathology" (λ = 0.071, p < .007). Pathological Internet use loaded on "risk-behavior" (λ = 0.333, p < .001) and on "psychopathology" (λ = 0.852, p < .001). Chi-square tests determined that the loadings of excessive Internet use (χ2 (1) = 81.98, p < .001) were significantly stronger on "risk-behavior" than "psychopathology". Vice versa, pathological Internet use loaded significantly stronger on "psychopathology" (χ2 (1) = 107.10, p < .001). The results indicate that pathological Internet use should rather be considered as psychopathology. Excessive Internet use on the other hand, should be classified as adolescent risk-behavior.
Rising global rates of pathological Internet use (PIU) and related psychological impairments have gained considerable attention in recent years. In an effort to acquire evidence-based knowledge of this relationship, the main objective of this study was to investigate the association between PIU, psychopathology and self-destructive behaviours among school-based adolescents in eleven European countries. This cross-sectional study was implemented within the framework of the European Union project: Saving and Empowering Young Lives in Europe. A representative sample of 11,356 school-based adolescents (M/F: 4,856/6,500; mean age: 14.9) was included in the analyses. PIU was assessed using the Young's Diagnostic Questionnaire. Psychopathology was measured using the Beck Depression Inventory-II, Zung Self-Rating Anxiety Scale and Strengths and Difficulties Questionnaire. Self-destructive behaviours were evaluated by the Deliberate Self-Harm Inventory and Paykel Suicide Scale. Results showed that suicidal behaviours (suicidal ideation and suicide attempts), depression, anxiety, conduct problems and hyperactivity/inattention were significant and independent predictors of PIU. The correlation between PIU, conduct problems and hyperactivity/inattention was stronger among females, while the link between PIU and symptoms of depression, anxiety and peer relationship problems was stronger among males. The association between PIU, psychopathology and self-destructive behaviours was stronger in countries with a higher prevalence of PIU and suicide rates. These findings ascertain that psychopathology and suicidal behaviours are strongly related to PIU. This association is significantly influenced by gender and country suggesting socio-cultural influences. At the clinical and public health levels, targeting PIU among adolescents in the early stages could potentially lead to improvements of psychological well-being and a reduction of suicidal behaviours.
There have been only a few reports illustrating the moderate effectiveness of suicide-preventive interventions in reducing suicidal behavior, and, in most of those studies, the target populations were primarily adults, whereas few focused on adolescents. Essentially, there have been no randomized controlled studies comparing the efficacy, cost-effectiveness and cultural adaptability of suicide-prevention strategies in schools. There is also a lack of information on whether suicide-preventive interventions can, in addition to preventing suicide, reduce risk behaviors and promote healthier ones as well as improve young people's mental health. The aim of the SEYLE project, which is funded by the European Union under the Seventh Framework Health Program, is to address these issues by collecting baseline and follow-up data on health and well-being among European adolescents and compiling an epidemiological database; testing, in a randomized controlled trial, three different suicide-preventive interventions; evaluating the outcome of each intervention in comparison with a control group from a multidisciplinary perspective; as well as recommending culturally adjusted models for promoting mental health and preventing suicidal behaviors. The study comprises 11,000 adolescents emitted from randomized schools in 11 European countries: Austria, Estonia, France, Germany, Hungary, Ireland, Israel, Italy, Romania, Slovenia and Spain, with Sweden serving as the scientific coordinating center. Each country performs three active interventions and one minimal intervention as a control group. The active interventions include gatekeeper training (QPR), awareness training on mental health promotion for adolescents, and screening for at-risk adolescents by health professionals. Structured questionnaires are utilized at baseline, 3- and 12-month follow-ups in order to assess changes. Although it has been reported that suicide-preventive interventions can be effective in decreasing suicidal behavior, well-documented and randomized studies are lacking. The effects of such interventions in terms of combating unhealthy lifestyles in young people, which often characterize suicidal individuals, have never been reported. We know that unhealthy and risk-taking behaviors are detrimental to individuals' current and future health. It is, therefore, crucial to test well-designed, longitudinal mental health-promoting and suicide-preventive interventions by evaluating the implications of such activities for reducing unhealthy and risk behaviors while concurrently promoting healthy ones. Trial registration: The German Clinical Trials Register, DRKS00000214.
