Thesis MHSc(GenetCouns)--University of Melbourne, Murdoch's Children's Research Institute and Dept. of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, 2010. / Typescript. By Thesis only. Includes bibliographical references (p. 104-117)

Thesis (Ph.D.)--Aberdeen University, 2009. / Title from web page (viewed on July 8, 2009). Includes bibliographical references.

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 113-121). Also available in electronic version.

Thesis (M.E.)--University of Canterbury, 2006. / Typescript (photocopy). Includes bibliographical references (p. 74-75). Also available via the World Wide Web.

Techn. Universiẗat, Diss., 2002--Freiberg (Sachsen).

Universiẗat, Diss., 2004--Stuttgart.

Techn. Hochsch., Diss., 2005--Aachen.

Proefschrift Universiteit Maastricht. / Met lit. opg. - Met samenvatting in het Nederlands.

Background: The increasing use of electronic health records (EHR) provides a novel opportunity to evaluate hospital-based nutritional outcomes, such as malnutrition. There is no universally accepted screening tool for the detection of malnutrition. However, assessment for malnutrition should be made early, be simple, based on scientific evidence, and include data on age, gender, and disease severity. The malnutrition screening tool (MST) used in this study is a two question tool that assesses two parameters commonly seen when diagnosing malnutrition (weight loss and loss of appetite). Objective: The purpose of this study is to determine the ability of the MST used at a tertiary or quaternary hospital to accurately identify patients with malnutrition by comparing it against the Academy of Nutrition and Dietetics and American Society for Parenteral and Enteral Nutrition criteria for malnutrition. Participants/setting: A descriptive cohort study was conducted that included 167 patients admitted to Emory University Hospital between October 1 - 14, 2014. MST score, malnutrition diagnostic criteria, and demographic and anthropometric characteristics were obtained to describe and assess the study population. Statistical Analysis: Frequency statistics were used to describe the demographic and anthropometric characteristics and MST score results. Normality statistics were used to determine the distribution of continuous variables. A Chi Square table was used to determine the significance of the association between the MST score and diagnosis of malnutrition made by the Registered Dietitian (RD) as well as the sensitivity and specificity of the MST. Results: A total of 167 patients (48.5% male, 51.5% Caucasian, non-Hispanic) were admitted during the study period. The vast majority of the patient population with malnutrition (79%), as diagnosed by the RD, was identified as such by the MST (p < 0.01). The sensitivity and specificity of the MST was 79% and 62%, respectively. Conclusion: The MST is a useful screening tool for malnutrition in adults admitted to a large urban university hospital. There is a lack of research validating the MST in the adult outpatient population. Therefore, future studies are necessary to evaluate the effectiveness of the MST in this population.

Identification of Attention Deficit/Hyperactivity Disorder (AD/HD) in adults using the Personality Assessment Inventory (PAI) T-scores was investigated. Archival data from closed client files at a university counseling center were used to obtain information from 91 cases of individuals who received testing services and were diagnosed with AD/HD and 91 cases that received personal counseling and received a DSM-IV diagnosis but not a diagnosis of AD/HD. All cases had taken the PAI as part of the intake process. Four groups were identified; three AD/HD groups (Inattentive type, Combined type, & Not otherwise Specified) and a control group of counseling cases without an AD/HD diagnosis. The AD/HD-NOS group was excluded from the study due to the small group size of six. A MANOVA resulted in significance differences between the AD/HD-I and AD/HD-C groups; therefore, they were analyzed as separate groups. A MANOVA comparing the AD/HD groups and the control group revealed significance differences using select PAI clinical scales hypothesized to capture AD/HD symptoms. Descriptive and predictive discriminant function analyses (DFA) with a set of PAI subscales hypothesized to most relate to adult symptoms of AD/HD were significant, with modest results. DFA revealed a hit rate of 71.4% for prediction of clients with AD/HD-I; 30.8% for predicting AD/HD-C, and 78.9% predicting no AD/HD. Cut-off scores for AD/HD were suggested for four PAI scales. Strengths and limitations were discussed.