Eating Disorders Across Adulthood Project
The Eating Disorders Across Adulthood Project focuses on the developmental, psychosocial cognitive, and behavioral factors that intersect to elevate risk. Our goal is to identify factors that can help identify and offset risk leading to individuals to have healthier sense of self and more balanced relationship with food.
We have several current and ongoing research projects.
Cross-cultural factors influencing eating disorders
This research study examines emotion regulation, intuitive eating, and compulsive exercise as risk factors women and men from Brazil and the United States
Collaborators
Priscila Figueiredo Campos, M. A.
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Priscila Campos is a Visiting Research Scholar at FIU. She has a M.A. in Physical Education (Physical activity and Health) from Universidade Federal de Juiz de Fora and B.A. in Physical Education at the Universidade Federal de Viçosa.
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This research project will be the basis of Priscila's doctoral dissertation.
Pedro Henrique Berbert de Carvalho, Ph.D.
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Dr. Pedro Carvalho is an Associate Professor of Physical Education in the Life Science Institute at Universidade Federal de Juiz de Fora (Brazil). Dr. Carvalho is interested in psychosocial factors that influence exercise and eating behaviors, and body image. His current research areas focus on dissonance-based eating disorder prevention and development/cross-cultural validation studies on body image, exercise dependence and eating disorders. More recently, Dr. Carvalho has become interested in intuitive eating and body image and disordered eating in sexual minorities. He has a Ph.D. in Psychology (Health-Related Psychosocial Factors) from Universidade Federal de Juiz de Fora and M.A. in Physical Education (Exercise and Sports) at the Universidade Federal de Juiz de Fora.
Anxiety Sensitivity, Emotion Regulation and Disordered Eating
In a series of experiments we investigate the independent and additive effects of anxiety and emotional dysregulation on risk for disordered eating.
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We developed and tested a model that demonstrates the coactive roles of these factors to elevate risk. This paper is currently under review (Bazo Perez, M., Hayes, T. B., & Frazier, L. D., under review)
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Collaborators
Tim Hayes is an Assistant Professor of Quantitative Psychology at Florida International University. His quantitative research primarily focuses on using statistical simulations to evaluate novel methods for addressing missing data in longitudinal research. Missing data are a ubiquitous problem in a variety of applied research settings. While researchers often have clear a priori hypotheses concerning key variables in their substantive models, they rarely have well-developed a priori hypotheses concerning the factors that might lead to missing data. As a result, many existing methods of assessing the relationship between predictor variables and missing data are used by researchers in an inherently exploratory manner.