Camille Dieterle OTD, OTR/L
Associate Professor of Clinical Occupational Therapy
Camille Dieterle teaches courses to graduate and undergraduate students in the areas Lifestyle Redesign®, an occupational therapy intervention for prevention and better self-management of chronic conditions; health promotion, therapeutic group treatment, community based program development, environmental sustainability and crafts and creativity.
Prior to teaching full time Dr. Dieterle previously was a clinician and Director of the USC OT Faculty Practice where she utilized Lifestyle Redesign® with clients with obesity, chronic pain, behavioral health difficulties and a variety of medical diagnoses and conditions. Additionally, Dr. Dieterle is a certified yoga instructor.
Doctorate of Occupational Therapy (OTD)
2008 | University of Southern California
Master of Arts (MA)
in Occupational Therapy
2007 | University of Southern California
Bachelor of Arts (BA)
1999 | University of Georgia
Dieterle, C. (2020). The case for environmentally-informed occupational therapy: Clinical and educational applications to promote personal wellness, public health and environmental sustainability. World Federation of Occupational Therapists Bulletin, 1-8. https://doi.org/10.1080/14473828.2020.1717055 Show abstract
Research shows that personal and public health are intrinsically intertwined with ecological conditions and that actions that promote environmental sustainability are good prescriptions for health and wellness. I call this awareness and its implications for occupational therapists ‘environmentally-informed occupational therapy’ (EIOT). EIOT is an approach to occupational therapy founded in the growing body of scientific evidence that demonstrates that what is good for the environment is good for human health and well-being. It looks to nature to inform interventions and helps occupational therapists support their clients, students and communities to make lifestyle choices that contribute to their personal health while protecting and ideally enhancing the environment, e.g. while reducing global warming, preserving natural resources, preventing biodiversity loss, and more. Clinical and educational examples of EIOT are described.
Dieterle, C. (2018). Diabetes. In R. DiZazzo-Miller & F. D. Pociask (Eds.), Preparing for the Occupational Therapy National Board exam: 45 days and counting (2nd ed., pp. 399-412). Burlington, MA: Jones and Bartlett. Full text
Dieterle, C. (2016). Coaching and Lifestyle Redesign: Coaching as an integral part of preventing and managing chronic conditions. In W. Pentland, J. Isaacs-Young, J. Gash, & A. Heinz (Eds.), Enabling positive change: Coaching conversations in occupational therapy (pp. 93-100). Ottawa, ON: Canadian Association of Occupational Therapists Publishing. Full text
Dieterle, C. M. (2014). Lifestyle redesign programs. In M. E. Scaffa & S. M. Reitz (Eds.), Occupational therapy in community-based practice settings (2nd ed., pp. 377-389). Philadelphia, PA: F. A. Davis. Full text
Koritzky, G., Dieterle, C., Rice, C., Jordan, K., & Bechara, A. (2014). Decision-making, sensitivity to reward and attrition in weight management. Obesity, 22(8), 1904-1909. https://doi.org/10.1002/oby.20770 Show abstract
Objective. Attrition is a common problem in weight management. Understanding the risk factors for attrition should enhance professionals' ability to increase completion rates and improve health outcomes for more individuals. A model that draws upon neuropsychological knowledge on reward-sensitivity in obesity and overeating to predict attrition is proposed.
Methods. A total of 52 participants in a weight-management program completed a complex decision-making task. Decision-making characteristics-including sensitivity to reward-were further estimated using a quantitative model. Impulsivity and risk-taking measures were also administered.
Results. Consistent with the hypothesis that sensitivity to reward predicted attrition, program dropouts had higher sensitivity to reward than completers (P < 0.03). No differences were observed between completers and dropouts in initial BMI, age, employment status, or the number of prior weight-loss attempts (P ≥ 0.07). Completers had a slightly higher education level than dropouts, but its inclusion in the model did not increase predictive power. Impulsivity, delay of gratification, and risk taking did not predict attrition, either.
Conclusions. Findings link attrition in weight management to the neural mechanisms associated with reward-seeking and related influences on decision-making. Individual differences in the magnitude of response elicited by rewards may account for the relative difficulty experienced by dieters in adhering to treatment.