Binge eating disorder (BED) is a relatively new eating disorder that involves recurrent binge eating without compensatory purging behaviors such as using laxatives, excessive physical activity, and/or dietary restraint. Individuals diagnosed with BED exhibit both psychological and physiological problems that are distinct from bulimia nervosa and non-BED obese individuals. There has been little to no research examining the effects of physical activity on BED treatment. Since current BED treatment strategies have been less than successful, physical activity may be a positive addition to BED treatment. Therefore the objectives of this paper are 1) to raise the awareness of exercise professionals as to. the existence of BED, 2) explore the mechanisms that might support the utilization of physical activity as an adjunct treatment strategy for BED and 3) to prompt more interest among researchers and practitioners relative to using physical activity interventions with BED clients.
K. Jason Crandall and Patricia A. Eisenman
Joan E. Benson, Kathryn A. Engelbert-Fenton and Patricia A. Eisenman
Female athletes experience a high incidence of menstrual abnormalities. This has critical health consequences because amenorrhea athletes are at greater risk of developing osteopenia and bone injury compared to normally menstruating athletes or nonathletic normally cycling females. Female performers and athletes are also at risk for developing disordered eating behaviors. There appears to be a connection between menstrual dysfunction, athletic training, and disordered eating, but how they relate is not fully understood. In this paper we explore how low calorie intakes, nutritional inadequacies, vegetarianism, low body fat stores, and specific training behaviors may contribute to the abnormal menstrual patterns seen in this population. Recommendations for the detection and prevention of eating and training problems and consequent menstrual abnormalities are included.
James A. Padfield, Patricia A. Eisenman, Maurie J. Luetkemeier and Sally S. Fitt
A physiological profile of 40 early adolescent female dancers was completed to investigate the characteristics of dancers this age and the possible physical fitness benefits of high levels of dance training. Of those physical fitness variables studied, the only significant difference between performing (high level) and recreational (low level) dancers was the degree of hip flexibility (p<.01). Both groups exhibited lean body density (combined mean of 1.069 g ml−1) as well as moderate aerobic (combined mean of 45.8 ml kg−1 min−1) and anaerobic power (combined mean of 6.5 Watt kg−1). These data suggest that early adolescent dance training encourages a certain level of physical fitness, but higher levels or duration of dance training do not result in or demand exceptional aerobic or anaerobic power.
Ryan D. Burns, James C. Hannon, Timothy A. Brusseau, Patricia A. Eisenman, Pedro F. Saint-Maurice, Greg J. Welk and Matthew T. Mahar
Cardiorespiratory endurance is a component of health-related fitness. FITNESSGRAM recommends the Progressive Aerobic Cardiovascular Endurance Run (PACER) or One mile Run/Walk (1MRW) to assess cardiorespiratory endurance by estimating VO2 Peak. No research has cross-validated prediction models from both PACER and 1MRW, including the New PACER Model and PACER-Mile Equivalent (PACER-MEQ) using current standards. The purpose of this study was to cross-validate prediction models from PACER and 1MRW against measured VO2 Peak in adolescents. Cardiorespiratory endurance data were collected on 90 adolescents aged 13–16 years (Mean = 14.7 ± 1.3 years; 32 girls, 52 boys) who completed the PACER and 1MRW in addition to a laboratory maximal treadmill test to measure VO2 Peak. Multiple correlations among various models with measured VO2 Peak were considered moderately strong (R = .74–0.78), and prediction error (RMSE) ranged from 5.95 ml·kg-1, min-1 to 8.27 ml·kg-1.min-1. Criterion-referenced agreement into FITNESSGRAM’s Healthy Fitness Zones was considered fair-to-good among models (Kappa = 0.31–0.62; Agreement = 75.5–89.9%; F = 0.08–0.65). In conclusion, prediction models demonstrated moderately strong linear relationships with measured VO2 Peak, fair prediction error, and fair-to-good criterion referenced agreement with measured VO2 Peak into FITNESSGRAM’s Healthy Fitness Zones.