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.

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.

Research on psychological help seeking has continued to grow as the field of psychology has expanded. Much of the research is often variable driven and assumes this construct is a global construct. The current study used the Theory of Planned Behavior to provide a theory based approach to understanding psychological help seeking intention. Also, the theory was tested for three common presenting concerns: Anxiety or Depression, Career Choice Concerns, and Alcohol or Substance Use. Two samples of over 400 university students completed surveys for all three concerns. Results produced invariance across path loadings for the concerns being compared. When thinking about seeking psychological help, university students do not appear to consider the type of concern but do rely on attitude, stigma, and how much control and efficacy they have to address their problems on their own. Mean differences emerged for some variables in the model, but no meaningful mean differences were noted for gender. Overall, the variables used in the decision making process do not appear to consider concern when seeking help, but the beliefs about seeking help differ some. These results extend the Theory of Planned Behavior to consider the importance of an individual's ability to address their problem on their own. When considering psychological help seeking, college students have similar attitudes and beliefs about their ability to access mental health resources, their beliefs about stigma, ability to address their problems on their own, and their intention to seek help vary more by concern. The specific concerns being addressed does not appear to impact the weight each variable is given in the decision making process; attitude, stigma, and ability to solve the problem on their own appear to be the variables given greatest consideration.

This work analyzed the role of interpersonal problems in interaction with ethnicity to predict psychotherapy outcome. A total of 262 individuals, who underwent psychotherapy at a counseling training facility, completed the Outcome Questionnaire-45 (OQ-45) and the reduced version of the Inventory of Interpersonal Problems (IIP-32). This study posited the following research question: Is the magnitude of the effect of ethnicity on treatment outcome conditional on certain IP dimensions (dominance or affiliation)? The purpose of this research was to determine whether or not ethnicity, represented by 3 ethnic groups (Whites, Hispanics, and Asians), was related to treatment outcome, and if this relationship was moderated by two interpersonal distress dimensions: dominance and affiliation. The results of the hierarchical regression analyses indicated that ethnicity did not predict post-treatment outcome gain, and neither affiliation nor dominance was a moderator of the relationship between outcome and ethnicity.