An online survey of European psychiatrists assessed awareness of the metabolic syndrome and its influence on the management of bipolar disorder.

Psychiatrists in the United Kingdom, France, Germany, Spain, and Italy were surveyed from April to June 2006. Eligibility criteria w ere 4–30 years in practice, ≥50% of time in direct patient care, had seen ≥10 bipolar patients in the preceding month. Aggregate data were weighted to represent the practicing physician population per country.

of 718 respondents, 56% had diagnosed metabolic syndrome. Respondents reported that metabolic syndrome prevalence was higher in bipolar patients (25%) than in the general population (20%). Seventy-two percent felt that metabolic syndrome poses significant health risks, warranting monitoring/treatment, and were most concerned with the bipolar medication adverse effects of weight gain, cognitive impairment, and glucose intolerance. Survey respondents recognized clear differences among psychotropic agents in the propensity to induce metabolic adverse effects. Sixty-five percent of respondents indicated that they had made interviewing and monitoring changes in the past three years as a result of metabolic concerns.

European psychiatrists view metabolic syndrome as highly prevalent in the general population and in bipolar patients; twothirds have changed their management of bipolar patients because of metabolic health concerns.

Venlafaxine has shown benefit in the treatment of depression and pain. Worldwide data are extensively lacking investigating the outcome of chronic pain patients with depressive symptoms treated by venlafaxine in the primary care setting. This observational study aimed to elucidate the efficacy of venlafaxine and its prescription by Swiss primary care physicians and psychiatrists in patients with chronic pain and depressive symptomatology.

We studied 505 patients with depressive symptoms suffering from chronic pain in a prospective naturalistic Swiss community based observational trial with venlafaxine in primary care. These patients have been treated with venlafaxine by 122 physicians, namely psychiatrists, general practitioners, and internists.

On average, patients were treated with 143 ± 75 mg (0–450 mg) venlafaxine daily for a follow-up of three months. Venlafaxine proved to be beneficial in the treatment of both depressive symptoms and chronic pain.

Although side effects were absent in most patients, physicians might have frequently omitted satisfactory response rate of depression by underdosing venlafaxine. Our results reflect the complexity in the treatment of chronic pain in patients with depressive symptoms in primary care.

Further randomized dose-finding studies are needed to learn more about the appropriate dosage in treating depression and comorbid pain with venlafaxine.

This study investigates the influence of age at onset of OCS on psychiatric comorbidities, and tries to establish a cut-off point for age at onset.

Three hundred and thirty OCD patients were consecutively recruited and interviewed using the following structured interviews: Yale-Brown Obsessive Compulsive Scale; Yale Global Tic Severity Scale and the Structured Clinical Interview for DSM-IV. Data were analyzed with regression and cluster analysis.

Lower age at onset was associated with a higher probability of having comorbidity with tic, anxiety, somatoform, eating and impulse–control disorders. Longer illness duration was associated with lower chance of having tics. Female gender was associated with anxiety, eating and impulse–control disorders. Tic disorders were associated with anxiety disorders and attention-deficit/hyperactivity disorder. No cut-off age at onset was found to clearly divide the sample in homogeneous subgroups. However, cluster analyses revealed that differences started to emerge at the age of 10 and were more pronounced at the age of 17, suggesting that these were the best cut-off points on this sample.

Age at onset is associated with specific comorbidity patterns in OCD patients. More prominent differences are obtained when analyzing age at onset as an absolute value.

The association between childhood family structure and sociodemographic characteristics and personality disorders (PDs) in a general population sample was studied.

This study is a substudy of the prospective Northern Finland 1966 Birth Cohort Project with 1588 young adult subjects. The case-finding methods according to the DSM-III-R criteria for PDs were: (1) Structured Clinical Interview for DSM-III-R (SCID) for 321 cases who participated in a 2-phase field study, (2) Finnish Hospital Discharge Register data, and (3) analysis of the patient records in public outpatient care in 1982–1997. Statistical analyses were performed on the association between PDs and family background factors.

Altogether 110 (7.0%) of the subjects had at least one probable or definite PD. After adjusting for confounders (gender, parental social class and parental psychiatric disorder) the results indicated that single-parent family type in childhood was associated with cluster B PDs in adulthood. Being an only child in childhood was associated with cluster A PDs. No special childhood risk factors were found for cluster C PDs.

Results suggest that single-parent family type at birth and being an only child in the 1960s are associated with PD in adulthood. Further studies are needed to explore the psychosocial aspects of family environment which may nowadays promote vulnerability to PDs in adulthood.

This study aimed to explore the relationship between online game addiction and aggression, self-control, and narcissistic personality traits, which are known as the psychological characteristics linked to “at-risk” populations for online game addiction.

A total of 1471 online game users (males 82.7%, females 17.3%, mean age 21.30 ± 4.96) participated in this study and were asked to complete several self-report measures using an online response method. Questionnaires included demographic information and game use-related characteristics of the samples, the online game addiction scale (modified from Young's Internet addiction scale), the Buss–Perry aggression questionnaire, a self-control scale, and the narcissistic personality disorder scale.

Our results indicated that aggression and narcissistic personality traits are positively correlated with online game addiction, whereas self-control is negatively correlated with online game addiction (p < 0.001). In addition, a multiple regression analysis revealed that the extent of online game addiction could be predicted based on the person's narcissistic personality traits, aggression, self-control, interpersonal relationship, and occupation. However, only 20% of the variance in behavioral consequences was explained with the model.

An interesting profile has emerged from the results of this study, suggesting that certain psychological characteristics such as aggression, self-control, and narcissistic personality traits may predispose some individuals to become addicted to online games. This result will deepen our understanding of the “at-risk” population for online game addiction and provide basic information that can contribute to developing a prevention program for people who are addicted to online games.

Psychotic patients with COMTVal158Met Met alleles were recently found to display more intense psychotic and affective responses to daily life stressors. We aimed to test the hypothesis that the Met allele is implicated in the development of affective and psychotic symptomatology in subjects genetically at risk for schizophrenia, by testing if unaffected first-degree relatives of patients with schizophrenia who share a Met allele have greater concordance of symptomatology than relatives not sharing a Met allele.

Unaffected relatives (n = 38) were arranged in as many genetically related pairs as possible (n = 26), and Met-sharing between Index Unaffected Subject (IUS) and Related Unaffected Subject (RUS) was assessed. Symptomatology was assessed with the Brief Psychiatric Rating Scale (BPRS) total score.

Multilevel regression revealed an interaction between RUS BPRS score and Met-sharing in the model of IUS BPRS score (interaction χ2 = 3.78, p = 0.05). Stratified analyses revealed that IUS–RUS total BPRS scores were significantly associated in the case of Met-sharing (B = 0.57, 95% CI: 0.22–0.93, p = 0.002), but were not when there was no Met-sharing.

These findings support the hypothesis that the Met allele may be involved in the causation of psychopathology, at least in populations with a genetic predisposition to psychosis.