Are urinary porphyrins a valid diagnostic biomarker of autism spectrum disorder?

A fundamental challenge to the timely diagnosis of Autism Spectrum Disorder (ASD) is the reliance on the observation of a set of aberrant behavior. Consequently, the diagnostic process requires that the child reach an age where the behaviors would typically be exhibited. The identification of a reliable biological marker (biomarker) could be of considerable benefit to the diagnostic process. As a diagnostic biomarker, porphyrins present an attractive prospect as previous studies have reported consistent findings of children with ASD showing significant elevations in porphyrin levels in contrast to controls. Furthermore, there is some evidence that ASD severity may be associated with porphyrins, which would be a valuable characteristic of any ASD biomarker. Importantly, for practical use, porphyrins can be tested non-invasively via a sample of urine. The present study sought to investigate whether porphyrin profiles can reliably be used to (a) differentiate ASD cases from healthy controls; and (b) predict ASD severity. The study compared the porphyrin levels of three groups of children aged 2-6 years: Group 1-children diagnosed with ASD (n = 70); Group 2-healthy, normally developing siblings of children diagnosed with ASD (n = 36); and Group 3-healthy, normally developing children with no known blood relative diagnosed with ASD (n = 54). The results of logistic regression analyses failed to find support for the hypotheses that porphyrin levels could be used as a valid tool to detect ASD cases or predict severity. Autism Res 2014, 7: 535-542. © 2014 International Society for Autism Research, Wiley Periodicals, Inc.

Depression and suicidal behavior in adolescents : a multi-informant and multi-methods approach to diagnostic classification

Informant discrepancies have been reported between parent and adolescent measures of depressive disorders and suicidality. We aimed to examine the concordance between adolescent and parent ratings of depressive disorder using both clinical interview and questionnaire measures and assess multi-informant and multi-method approaches to classification.

Neighborhood environmental attributes and adults' maintenance of regular walking

Environmental initiatives to support walking are keys to non-communicable disease prevention, but the relevant evidence comes mainly from cross-sectional studies. We examined neighborhood environmental attributes associated cross-sectionally with walking and those associated prospectively with walking maintenance.

Analysis of operating environments: A diagnostic model for linking science, society and policy for sustainability

Through analysis of the dynamics between science and decision-making, we argue that diagnosing fit-for purpose approaches to linking science and decision-making may be possible. Such diagnosis should enable identification of appropriate processes, institutions, objects (e.g. tools, information products) and relationships that can facilitate outcomes. We begin the paper by unsettling the traditional constructions that science must distance itself from debates about values and what is at stake, and so from policy making. Then, drawing from mixed methods case studies in coastal South-eastern Australia, we describe how scientific research has had a bearing on decisions affecting society and the environment. These analyses suggest that the willingness and capacity of research organisations, programmes or projects to actively reflect on and participate in the evolution of the 'operating environment' for their research is integral to their ability to inform outcomes through science. © 2014 Elsevier Ltd.

Symptom screening scales for detecting major depressive disorder in children and adolescents: A systematic review and meta-analysis of reliability, validity and diagnostic utility.

Depression symptom screening scales are often used to determine a clinical diagnosis of major depressive disorder (MDD) in prevention research. The aim of this review is to systematically examine the reliability, validity and diagnostic utility of commonly used screening scales in depression prevention research among children and adolescents.

Developing professional attributes in critical care nurses using Team-Based Learning.

Australian nurses prepare for specialty practice by undertaking postgraduate theoretical and clinical education in partnership models between universities and hospitals. In our global healthcare system, nurses require advanced critical thinking and strong communication skills to provide safe, high quality patient care. Yet, few education programs focus on developing these skills. Team-Based Learning (TBL) is a specific educational strategy that encourages and rewards students to think critically and solve clinical problems individually and in teams. The aim of this study was to investigate critical care nursing students' perceptions and experiences of TBL after it was introduced into the second half of their postgraduate specialty course. Following Ethics Committee approval, thirty-two students were invited to participate in an extended response questionnaire on their perceptions of TBL as part of a larger study. Data were analyzed thematically. Postgraduate students perceived their professional growth was accelerated due to the skills and knowledge acquired through TBL. Four themes underpinned the development and accelerated acquisition of specialty nurse attributes due to TBL: Engagement, Learning Effectiveness, Critical Thinking, and Motivation to Participate. Team-Based Learning offered deep and satisfying learning experiences for students. The early acquisition of advanced critical thinking, teamwork and communication skills, and specialty practice knowledge empowered nurses to provide safe patient care with confidence.