2014
DOI: 10.4025/reveducfis.v25i4.22566
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A checagem corporal possui relação com a restrição alimentar em atletas do sexo feminino?

Abstract: RESUMOO objetivo do estudo foi analisar a relação da checagem corporal com a restrição alimentar em atletas do sexo feminino. Participaram 97 atletas de ginástica artística, atletismo e natação com idade igual ou superior a 12 anos. Utilizou-se o Body Checking and Avoidance Questionnaire (BCAQ) para avaliar a frequência de checagem corporal. Para avaliar a restrição alimentar foi aplicada a subescala "Dieta" do Eating Attitudes Test (EAT-26). Para avaliar a insatisfação corporal foi aplicado o Body Shape Quest… Show more

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“…1,6 Although scientific investigations in the sports field show a prevalence of 30% of risk behaviors for eating disorders in female athletes, 2,3,5 researchers emphasize that this prevalence may be even higher due to their omission regarding such behaviors. 7 According to Fortes et al, 8 The scientific literature has pointed out personal (body dissatisfaction and drive for thinness and body checking), 3,9 morphological (body fat percentage and body mass index) 5 and demographic (age and weekly training regime) 10 variables as predictors of health risk behaviors for eating disorders in female athletes. Thus, the aim of this study was to create a predictive equation of risk behaviors for eating disorders, using body dissatisfaction and drive for thinness, body checking, body fat percentage (% F), body mass index (BMI), age and weekly training regime as predictors.…”
Section: Introductionmentioning
confidence: 99%
“…1,6 Although scientific investigations in the sports field show a prevalence of 30% of risk behaviors for eating disorders in female athletes, 2,3,5 researchers emphasize that this prevalence may be even higher due to their omission regarding such behaviors. 7 According to Fortes et al, 8 The scientific literature has pointed out personal (body dissatisfaction and drive for thinness and body checking), 3,9 morphological (body fat percentage and body mass index) 5 and demographic (age and weekly training regime) 10 variables as predictors of health risk behaviors for eating disorders in female athletes. Thus, the aim of this study was to create a predictive equation of risk behaviors for eating disorders, using body dissatisfaction and drive for thinness, body checking, body fat percentage (% F), body mass index (BMI), age and weekly training regime as predictors.…”
Section: Introductionmentioning
confidence: 99%