Medicine and Health Sciences Commons^™

Community Mental Health Services And The Prevalence Of Severe Mental Illness In Local Jails: Are They Related, William Fisher, Ira Packer, Lorna Simon, David Smith

Ira K Packer

The excessive prevalence of severe mental illness noted in correctional settings has sometimes been attributed to the inadequacy of community based mental health services. This study examines the prevalence of severe mental illness in two jails situated within catchment areas featuring markedly different levels of community mental health services. We use these settings to test the hypothesis that greater levels of services in a community are associated with lower prevalence of severe mental illness in the community's jail. An epidemiologic approach, using standardized field instruments, was used to estimate the prevalence of major mental illness in detainees arriving at the …

Fieldwork Summary Report-World Health Organization, Anna Cross

Master's Projects and Capstones

My fieldwork experience took place at the World Health Organization in Geneva, Switzerland, where I completed over 420 hours of practical experience. My fieldwork focused in the field of mental health, working on disorders management (psychosis, depression and suicide) and evidence-based research, but more specifically focusing on schizophrenia, premature death in severe mental disorders, and maternal mental health. Although my fieldwork focused within these areas, for the purpose of this final report, I have opted to focus on my contributions to the research around schizophrenia and premature death within severe mental disorders. Specifically, I contributed to multiple fact/information sheets for …

Analysis Of Schizophrenia Data Using A Nonlinear Threshold Index Logistic Model., Zhenyu Jiang, Chengan Du, Assen Jablensky, Hua Liang, Zudi Lu, Yang Ma, Kok Lay Teo

GW Biostatistics Center

Genetic information, such as single nucleotide polymorphism (SNP) data, has been widely recognized as useful in prediction of disease risk. However, how to model the genetic data that is often categorical in disease class prediction is complex and challenging. In this paper, we propose a novel class of nonlinear threshold index logistic models to deal with the complex, nonlinear effects of categorical/discrete SNP covariates for Schizophrenia class prediction. A maximum likelihood methodology is suggested to estimate the unknown parameters in the models. Simulation studies demonstrate that the proposed methodology works viably well for moderate-size samples. The suggested approach is therefore …

Pd_Ngsatlas: A Reference Database Combining Next-Generation Sequencing Epigenomic And Transcriptomic Data For Psychiatric Disorders, Zheng Zhao, Yongsheng Li, Hong Chen, Jianping Lu, Peter M. Thompson, Juan Cheng, Zishan Wang, Juan Xu, Chun Xu, Xia Li

Health & Biomedical Sciences Faculty Publications and Presentations

Background: Psychiatric disorders such as schizophrenia (SZ) and bipolar disorder (BP) are projected to lead the global disease burden within the next decade. Several lines of evidence suggest that epigenetic- or genetic-mediated dysfunction is frequently present in these disorders. To date, the inheritance patterns have been complicated by the problem of integrating epigenomic and transcriptomic factors that have yet to be elucidated. Therefore, there is a need to build a comprehensive database for storing epigenomic and transcriptomic data relating to psychiatric disorders.

Description: We have developed the PD_NGSAtlas, which focuses on the efficient storage of epigenomic and transcriptomic data based …