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Background Few studies have simultaneously compared the impacts of pharmacotherapy and mental diagnoses on metabolic syndrome (MetS) among psychiatric outpatients with mood and anxiety disorders. This study aimed to investigate the impacts of pharmacotherapy and mental diagnoses on MetS and the prevalence of MetS among these patients. Methods Two-hundred and twenty-nine outpatients (men/women = 85/144) were enrolled from 1147 outpatients with mood and anxiety disorders by systematic sampling. Psychiatric disorders and MetS were diagnosed using the Structured Clinical Interview for DSM-IV-TR and the new International Diabetics Federation definition, respectively. The numbers of antipsychotics, mood stabilizers, and antidepressants being taken were recorded. Logistic regression was used to investigate the impacts of pharmacotherapy and psychiatric diagnoses on MetS. Results Among 229 subjects, 51 (22.3%) fulfilled the criteria for MetS. The prevalence of MetS was highest in the bipolar I disorder (46.7%) patients, followed by bipolar II disorder (25.0%), major depressive disorder (22.0%), anxiety-only disorders (16.7%), and no mood and/or anxiety disorders (14.3%). The percentages of MetS among the five categories were correlated with those of the patients being treated with antipsychotics and mood stabilizers. Use of antipsychotics and/or mood stabilizers independently predicted a higher risk of MetS after controlling for demographic variables and psychiatric diagnoses. When adding body mass index (BMI) as an independent variable in the regression model, BMI became the most significant factor to predict MetS. Conclusion BMI was found to be an important factor related to MetS. Pharmacotherapy might be one of underlying causes of elevated BMI. The interactions among MetS, BMI, pharmacotherapy, and psychiatric diagnoses might need further research.

Background Although depression has been regarded as a major public health problem, many individuals with depression still remain undetected or untreated. Despite the potential for Internet-based tools to greatly improve the success rate of screening for depression, their reliability and validity has not been well studied. Therefore the aim of this study was to evaluate the test-retest reliability and criterion validity of a Web-based system, the Internet-based Self-assessment Program for Depression (ISP-D). Methods The ISP-D to screen for major depressive disorder (MDD), minor depressive disorder (MinD), and subsyndromal depressive symptoms (SSD) was developed in traditional Chinese. Volunteers, 18 years and older, were recruited via the Internet and then assessed twice on the online ISP-D system to investigate the test-retest reliability of the test. They were subsequently prompted to schedule face-to-face interviews. The interviews were performed by the research psychiatrists using the Mini-International Neuropsychiatric Interview and the diagnoses made according to DSM-IV diagnostic criteria were used for the statistics of criterion validity. Kappa (κ) values were calculated to assess test-retest reliability. Results A total of 579 volunteer subjects were administered the test. Most of the subjects were young (mean age: 26.2 ± 6.6 years), female (77.7%), single (81.6%), and well educated (61.9% college or higher). The distributions of MDD, MinD, SSD and no depression specified were 30.9%, 7.4%, 15.2%, and 46.5%, respectively. The mean time to complete the ISP-D was 8.89 ± 6.77 min. One hundred and eighty-four of the respondents completed the retest (response rate: 31.8%). Our analysis revealed that the 2-week test-retest reliability for ISP-D was excellent (weighted κ = 0.801). Fifty-five participants completed the face-to-face interview for the validity study. The sensitivity, specificity, positive, and negative predictive values for major depressive disorder were 81.8% and 72.7%, 66.7%, and 85.7% respectively. The overall accuracy was 76.4%. Conclusion The evidence indicates the ISP-D is a reliable and valid online tool for assessing depression. Further studies should test the ISP-D in clinical settings to increase its applications in clinical environments with different populations and in a larger sample size.

Background East Asian countries have high suicide rates. However, little is known about clinical and sociodemographic factors associated with suicidality in Asian populations. The aim of this study was to evaluate the factors associated with suicidality in patients with major depressive disorder (MDD) from six Asian countries. Methods The study cohort consisted of 547 outpatients with MDD. Patients presented to study sites in China (n = 114), South Korea (n = 101), Malaysia (n = 90), Singapore (n = 40), Thailand (n = 103), and Taiwan (n = 99). All patients completed the Mini-International Neuropsychiatric Interview (MINI), the Montgomery–Asberg Depression Rating Scale (MADRS), the Global Severity Index(SCL-90R), the Fatigue Severity Scale, the 36-item short-form health survey, the Sheehan Disability Scale, and the Multidimensional Scale of Perceived Social Support (MSPSS). Patients were classified as showing high suicidality if they scored ≥6 on the MINI suicidality module. Multivariate logistic regression analysis was used to examine sociodemographic and clinical factors related to high suicidality. Results One hundred and twenty-five patients were classed as high suicidality. Unemployed status (adjusted odds ratio [OR] 2.43, p