A coach’s roles and responsibilities vary depending on situational factors. However, several characteristics of a coach are recognized as important for success irrespective of the coaching level or ability of the athletes. Physical role modeling is a characteristic largely forgotten in the literature and coaching standards, yet can have important positive or negative outcomes in athlete performance and coach credibility and well-being. Therefore, the purpose of this article is to present a rationale for including physical role modeling within the tenets of coaching roles and responsibilities. Second, practical suggestions are made to demonstrate how physical role modeling can be presented positively, even when physical abilities are limited.
Objectives: To estimate the prevalence of compensatory eating behaviors in relation to alcohol consumption in a clinical sample, to assess the moderating capabilities of opioid use in relation to alcohol use and compensatory behaviors, and to examine the predictive capabilities of gender-specific binge drinking in relation to compensatory behaviors.Methods: The Compensatory Eating Behaviors in Relation to Alcohol Consumption Scale (CEBRACS), an opioid use survey, and the Alcohol Use Disorders Identification Test (AUDIT) were administered to residents at an addiction treatment facility (n = 77) over a period of 6 months.Results: Morphine was the only opioid to have significant relationships with the CEBRACS alcohol effects ( r = -.33), diet/exercise (r = -.38), and restrictive eating (r = -.31), subscales (all p < .001), but not with the bulimic subscale. Heroin had the strongest correlations with all other opioids. Opioid use did not have a significant moderating effect between alcohol frequency and the CEBRACS in a single moderating regression analysis (b = .84, t(73) = .43, p = .67). Men (Mdn = 27.00) and women (Mdn = 33.00) did not differ on the CEBRACS, although women ranked higher than men (U = 678.00, z = -.68, ns, r = .08). Binge drinking predicted CEBRACS scores in both males (b = .50, t(38) = 3.59, p < .001) and females (b = .60, t(35) = 4.46, p < .001).Conclusions: Individual dietary habits fluctuate throughout alcohol consumption and the goals of the individual are crucial in discerning specific substance use vs disordered eating motivations.
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