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Exploring the motives, experiences, and transformations of non-professional IRONMAN athletes

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This study explored the motivation and persistence factors for non-professional athletes who decided after the age of 40 to begin training for an IRONMAN distance triathlon. The qualitative methodology of grounded theory (Strauss & Corbin, 1998) was used in conceptualizing and implementing the research. In-depth interviews were conducted with 10…

This study explored the motivation and persistence factors for non-professional athletes who decided after the age of 40 to begin training for an IRONMAN distance triathlon. The qualitative methodology of grounded theory (Strauss & Corbin, 1998) was used in conceptualizing and implementing the research. In-depth interviews were conducted with 10 individuals in the Southwest region of the United States. Data was coded in accordance with grounded theory methods. Motivation themes that emerged from the data centered around either initiating training for triathlon as an approach toward a specific goal or outcome, or beginning triathlon as a way to cope with personal difficulties. Obstacles to motivation also emerged, such as finances and time, injury, fear and doubt, and interpersonal difficulties. Persistence themes emerged that centered around either taking active steps to help continue training and relying on internal traits or characteristics to promote persistence. Data are discussed in terms of how these individuals adopt triathlon as a part of their lifestyle and identity, and how they come to persist in training beyond IRONMAN.
ContributorsLiddell, T. Michael (Author) / Claiborn, Charles (Thesis advisor) / Kinnier, Richard (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2013
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Diagnosing mental health disorders in primary care: : evaluation of a new training tool

Description
Major Depressive Disorder (MDD) and Posttraumatic Stress Disorder (PTSD) are highly prevalent illnesses that can result in profound impairment. While many patients with these disorders present in primary care, research suggests that physicians under-detect and suboptimally manage MDD and PTSD in their patients. The development of more effective training interventions…

Major Depressive Disorder (MDD) and Posttraumatic Stress Disorder (PTSD) are highly prevalent illnesses that can result in profound impairment. While many patients with these disorders present in primary care, research suggests that physicians under-detect and suboptimally manage MDD and PTSD in their patients. The development of more effective training interventions to aid primary care providers in diagnosing mental health disorders is of the utmost importance. This research focuses on evaluating computer-based training tools (Avatars) for training family physicians to better diagnose MDD and PTSD. Three interventions are compared: a "choice" avatar simulation training program, a "fixed" avatar simulation training program, and a text-based training program for training physicians to improve their diagnostic interviewing skills in detecting and diagnosing MDD and PTSD. Two one-way ANCOVAs were used to analyze the differences between the groups on diagnostic accuracy while controlling for mental health experience. In order to assess specifically how prior mental health experience affected diagnostic accuracy the covariate of prior mental health experience was then used as an independent variable and simple main effects and pairwise comparisons were evaluated. Results indicated that for the MDD case both avatar treatment groups significantly outperformed the text-based treatment in diagnostic accuracy regardless of prior mental health experience. For the PTSD case those receiving the fixed avatar simulation training more accurately diagnosed PTSD than the text-based training group and the choice-avatar training group regardless of prior mental health experience. Confidence ratings indicated that the majority of participants were very confident with their diagnoses for both cases. Discussion focused on the utility of avatar technology in medical education. The findings in this study indicate that avatar technology aided the participants in diagnosing MDD and PTSD better than traditional text-based methods employed to train PCPs to diagnose. Regardless of experience level the fixed avatar group outperformed the other groups for both cases. Avatar technology used in diagnostic training can be user-friendly and cost-effective. It can also have a world-wide reach. Additional educational benefit could be provided by using automated text analysis to provide physicians with feedback based on the extent to which their case diagnostic summaries cover relevant content. In conclusion, avatar technology can offer robust training that could be potentially transferred to real environment performance.
ContributorsSatter, Rachel (Author) / Kinnier, Richard (Thesis advisor) / Mackenzie, James (Committee member) / Claiborn, Charles (Committee member) / Arizona State University (Publisher)
Created2012