3^rd International Conference on Depression, Anxiety and Stress Management June 21-22, 2017 London, UK

Denny Meyer is a Professor in the School of Health Sciences at the Swinburne University of Technology. She is an Applied Statistician specialized in the area of Mental Health Research. Her areas of particular interest include suicide ideation, vision loss, stress and the analysis of data collected using online systems with high attrition rates. She has published more than 100 papers in reputed journals and has worked with research teams on numerous research grants and tenders.

Stress has been associated with poorer sleep quality, higher fatigue and lower productivity, providing employers with  anincentive to provide their employees with programs that build a more resilient workforce. This study provides an evaluation of such a program using mixed methods. The program is called the Global Challenge and is owned by a commercial company called Virgin Pulse. Qualitative and quantitative survey data was collected concurrently, with validation provided by baseline and post-program performance measures for stress, sleep quality and productivity. The large sample size (more than 18000 responses) allowed the use of text mining to provide context for when the program resulted in a recommendation to a friend and what participants would miss most about the program. It also allowed the use of conventional generalized linear models and more modern machine learning methods to identify the other factors, such as demographic characteristics and the program features most used and influenced the success of the program. The results provide an understanding of how and why this program can be successful, isolating the drivers for and detractors from success. Particular strengths of the analysis include the use of a mixed methods design, the triangulation of results using baseline and post-program measures to supplement survey responses, the use of sophisticated text mining (parsing, filtering and clustering) approaches, and the integration of the quantitative and qualitative components of the study using machine learning (decision trees, random forests and gradient boosting) approaches. The results will inform future developments of this and other programs designed to build resilience for handling stress.

Angela Neal-Barnett is a Director at Program for Research on Anxiety Disorders among African Americans, Department of Psychology, Kent State University. She has completed her PhD from DePaul University (1988). She has research interest in anxiety disorders among African Americans. Her research focuses on children's fears, violence and children's anxiety and panic disorders among African Americans. She is also interested in skin color issues and African American women's physical and emotional health.

Introduction: Research has found that among American adolescents, Black girls are at highest risk for anxiety. Cultural risk factors associated with anxiety in this population include skin color, racial identity, racism and the acting White accusation. Sexism appears to exacerbate these variables as gender issues interact with race. Black adolescent girls incur more daily hassles or small day-to-day problems than their female peers. These hassles are associated with increased anxiety. In addition, black girls’ acceptance of multiple roles during adolescence is also associated with heightened anxiety.