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Multiple conceptual frameworks support the link between coaches’ attitudes and behaviors, and their effect on a variety of athlete outcomes, such as performance, motivation, and athlete self-perceptions. The present study explored the relationships among coaches’ attitudes and behaviors, with respect to psychological skills training (PST), and the beliefs of their athletes. One hundred and fifteen coaches completed PST attitude (SPA-RC-revised) and behavior measures, while 403 athletes completed two perception measures (CCS and SCI). Structural Equation Modeling showed that the proposed relationships were statistically significant, except for the pathway between coaches’ attitudes and their behaviors. Results support the disconnect between coaches’ attitudes and behaviors previously established in PST research, as well as the theoretical links between coaches’ behaviors and athletes’ perceptions (i.e., evaluation of their coach and self-confidence).

Increasing dropout rates in senior high school physical education, particularly among females, and unhealthy activity and obesity levels in youth have led to recommendations to assess potential contributing factors in physical education participation. Drawing from gender, body image, and social-cognitive theory, this study investigated relations between body size discrepancy, self-efficacy, test anxiety, and achievement in 316 high school physical education students. Gender differences were noted in body size discrepancy (females reported the desire to have a smaller body). Specifically in females, body size discrepancy predicted test anxiety, which predicted self-efficacy. Self-efficacy predicted achievement in both males and females. The results signal that gender-specific relations among these constructs are important factors to consider in the achievement scores of students in high school physical education. Physical education programs should model curricula and instructional practices that defuse potentially harmful body image discrepancies that seem most poignant in females while engaging all learners to feel competent and safe.

This research was supported by the Social Sciences and Humanities Research Council.

The purposes of this study were to examine how coaching context and level of coaching education were related to coaching efficacy and, subsequently, how coaching efficacy was related to perceived leadership behaviors in youth sports. One hundred and seventy-two youth sport coaches completed the Coaching Efficacy Scale and Revised Leadership Scale for Sports. Structural equation modeling revealed that coach education significantly affected the multidimensional construct of coaching efficacy whereas coaching context did not. Coaching efficacy predicted perceived leadership behaviors comprising training and instruction, positive feedback, social support, and situational consideration. These findings question the issue of coaching efficacy as a factor that may distinguish between coaches at different organizational contexts but highlight the importance of coach education training for improving coaching efficacy in youth sport.

Purpose: To determine the association between training-load (TL) factors, baseline characteristics, and new injury and/or pain (IP) risk in an endurance sporting population (ESP). Methods: Ninety-five ESP participants from running, triathlon, swimming, cycling, and rowing disciplines initially completed a questionnaire capturing baseline characteristics. TL and IP data were submitted weekly over a 52-wk study period. Cumulative TL factors, acute:chronic workload ratios, and exponentially weighted moving averages were calculated. A shared frailty model was used to explore time to new IP and association to TL factors and baseline characteristics. Results: 92.6% of the ESP completed all 52 wk of TL and IP data. The following factors were associated with the lowest risk of a new IP episode: (a) a low to moderate 7-d lag exponentially weighted moving averages (0.8–1.3: hazard ratio [HR] = 1.21; 95% confidence interval [CI], 1.01–1.44; P = .04); (b) a low to moderate 7-d lag weekly TL (1200–1700 AU: HR = 1.38; 95% CI, 1.15–1.65; P < .001); (c) a moderate to high 14-d lag 4-weekly cumulative TL (5200–8000 AU: HR = 0.33; 95% CI, 0.21–0.50; P < .001); and (d) a low number of previous IP episodes in the preceding 12 mo (1 previous IP episode: HR = 1.11; 95% CI, 1.04–1.17; P = .04). Conclusions: To minimize new IP risk, an ESP should avoid high spikes in acute TL while maintaining moderate to high chronic TLs. A history of previous IP should be considered when prescribing TLs. The demonstration of a lag between a TL factor and its impact on new IP risk may have important implications for future ESP TL analysis.