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. 2022 Jul 29;10(8):115.
doi: 10.3390/sports10080115.

Relationship between Aggressiveness, Self-Confidence, and Perceived Coach Support and Head Impact Exposure in Youth Football

Madison E Marks  1   2 , William C Flood  3   4 , Mireille E Kelley  1   2 , Mark A Espeland  5 , Christopher M Miles  6 , Alexander K Powers  1   2 , Christopher T Whitlow  1   2   3   4 , Joseph A Maldjian  7 , Joel D Stitzel  1   2 , Jillian E Urban  1   2
Affiliations

Relationship between Aggressiveness, Self-Confidence, and Perceived Coach Support and Head Impact Exposure in Youth Football

Madison E Marks et al. Sports (Basel). .

Abstract

This study evaluated head impact exposure (HIE) metrics in relation to individual-level determinants of HIE. Youth (n = 13) and high school (n = 21) football players were instrumented with the Head Impact Telemetry (HIT) system during one season. Players completed the Trait-Robustness of Self-Confidence Inventory (TROSCI), Sports Climate Questionnaire (SCQ), and Competitive Aggressiveness and Anger Scale (CAAS), measuring self-confidence, perceived coach support, and competitive aggressiveness, respectively. Relationships between HIE metrics (number of impacts, median and 95th percentile accelerations, and risk-weighted exposure (RWE)) and survey scores were evaluated using linear regression analysis. For middle school athletes, TROSCI scores were significantly negatively associated with the number of competition impacts and the mean number of impacts per player per competition. SCQ scores were significantly positively associated with median linear acceleration during practice. CAAS scores were not significantly associated with biomechanical metrics at either level of play. Perceived coach support and self-confidence might influence HIE among middle school football players. Football athletes' competitive aggressiveness may have less influence their HIE than other factors.

Keywords: aggression; biomechanics; coach support; head acceleration; self-confidence.

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Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Figures

Figure 1
Figure 1
Strongest correlations between biomechanical metrics and TROSCI scores. (a) Linear regression for the mean number of competition impacts, for the middle school samples versus TROSCI scores. (b) Linear regression for the 95th percentile rotational acceleration overall, for the high school samples versus TROSCI scores.
Figure 2
Figure 2
Strongest correlations between biomechanical metrics and SCQ scores. (a) Linear regression for the median linear acceleration (practice), for the middle school samples versus SCQ scores. (b) Linear regression for the 95th percentile linear acceleration (competition) for the high school samples versus SCQ scores.
Figure 3
Figure 3
Strongest correlations between biomechanical metrics and CAAS scores. (a) Linear regression for the number of competition impacts, for the middle school samples versus TROSCI scores. (b) Linear regression for the number of competition impacts, for the high school samples versus TROSCI scores.
See this image and copyright information in PMC

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