Adamsmeier7097

Results In the study period 141 UHR help-seeking individuals were identified. This averages an incidence of 7 per 100,000 people per year. The baseline assessment was completed by 99 of these and the 2 year psychosis conversion rate was 20%. A linear mixed-model regression analysis found that the significant predictors of conversion were the course of positive (0.038) and negative symptoms (0.017). Age was also a significant predictor and showed an interaction with female gender ( less then 0.000). Conclusion We managed to detect a proportion of UHR individuals in the upper range of the expected prediction by the population statistics and further case enrichment would improve this rate. Negative symptoms were significant predictors. As a risk factor for adverse functional outcomes and social marginalization, this could offer opportunities for earlier psychosocial intervention.Objectives Mental healthcare has gained momentum and significant attention in China over the past three decades. However, many challenges still exist. This survey aimed to investigate mental health resources and the psychiatric workforce in representative top-tier psychiatric hospitals in China. Methods A total of 41 top-tier psychiatric hospitals from 29 provinces participated, providing data about numbers and types of psychiatric beds, numbers of mental health professionals, outpatient services and hospitalization information covering the past 3 years, as well as teaching and training program affiliation. Results Significant variations were found among participating hospitals and across different regions. Most of these hospitals were large, with a median number of psychiatric beds of 660 (range, 169-2,141). Child and geriatric beds accounted for 3.3 and 12.6% of all beds, respectively, and many hospitals had no specialized child or geriatric units. The overall ratios of psychiatrists, psychiatric nurses, and psychologists per bed were 0.16, 0.34, and 0.03, respectively. More than 40% of the hospitals had no clinical social workers. Based on the government's staffing guidelines, less than one third (31.7%) of the hospitals reached the lower limit of the psychiatric staff per bed ratio, and 43.9% of them reached the lower limit of the nurse per bed ratio. Conclusion Although some progress has been made, mental health resources and the psychiatric workforce in China are still relatively insufficient with uneven geographical distribution and an acute shortage of psychiatric beds for children and elderly patients. In the meantime, the staffing composition needs to be optimized and more psychologists and social workers are needed. While addressing these shortages of mental health resources and the workforce is important, diversifying the psychiatric workforce, promoting community mental health care, and decentralizing mental health services may be equally important.Objective To explore the association of the methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism with birth body mass and risk of autism in Chinese Han population. Methods A total 1,505 Chinese Han autism patients were recruited, using the Diagnostic and Statistical Manual of Mental Disorders, 4th revised version (DSM-IV-R) diagnostic criteria for autism, and 1,308 sex-matched healthy controls were also enrolled for the study. All the participants' birth body masses were counted according to the medical records. The MTHFR C677T genotypes were detected using the polymerase chain reaction-restrict fragment length polymorphism (PCR-RFLP) method. The association between C677T polymorphism, birth body mass, and risk of autism were analyzed using the chi-square tests. Results The present study found that the MTHFR 677T was significantly associated with risk of autism [P = 0.004, odds ratio (OR) = 1.18, 95% CI = 1.02-1.29). The autism children more frequently showed low birth body mass ( less then 2.5 kg) than healthy control subjects (8.6 vs. 5.3%, P = 0.001, OR = 1.67, 95% CI = 1.24-2.26). The interactive effects between MTHFR 677T and low birth body mass (P = 0.0001, OR = 2.18, 95% CI = 1.44-3.32) were also significantly associated with risk of autism. Conclusions The MTHFR C677T polymorphism and low birth body mass may be associated with risk of autism in Chinese Han population.Background Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects millions of people worldwide. CHS828 However, there are currently no reliable biomarkers for ASD diagnosis. Materials and Methods The strategy of computational prediction combined with experimental verification was used to identify blood protein biomarkers for ASD. First, brain tissue-based transcriptome data of ASD were collected from Gene Expression Omnibus database and analyzed to find ASD-related genes by bioinformatics method of significance analysis of microarrays. Then, a prediction program of blood-secretory proteins was applied on these genes to predict ASD-related proteins in blood. Furthermore, ELISA was used to verify these proteins in plasma samples of ASD patients. Results A total of 364 genes were identified differentially expressed in brain tissue of ASD, among which 59 genes were predicted to encode ASD-related blood-secretory proteins. After functional analysis and literature survey, six proteins were chosen for experimental verification and five were successfully validated. Receiver operating characteristic curve analyses showed that the area under the curve of SLC25A12, LIMK1, and RARS was larger than 0.85, indicating that they are more powerful in discriminating ASD cases from controls. Conclusion SLC25A12, LIMK1, and RARS might serve as new potential blood protein biomarkers for ASD. Our findings provide new insights into the pathogenesis and diagnosis of ASD.Introduction and Aims Increasingly more Australians are in favor of legalizing medical and recreational cannabis use. This paper explored the personal characteristics of those who supported each of these policies in Australia. Design Cross-sectional national survey. Methods This study included 21,729 participants aged 18 years and above who responded to the 2016 National Drug Strategy Household Survey. Participants were provided the assurance of confidentiality for their participations. Logistic regression models were used to examine the relationships between personal characteristics and support for the legalization of medical and recreational cannabis. Results Overall, 77 and 40% of participants supported the legalization of medical and recreational cannabis respectively. People of older age were more likely to support medical cannabis legalization while those who supported legalization of recreational cannabis use were more likely to be younger. Medical cannabis supporters were more likely to report chronic pain (OR = 1.