Preliminary Evaluation of Self-Reported Training Volume as an Adjunct Measure of Female Athlete Triad Risk in Division 1 Collegiate Female Runners

Abstract

Background/Objectives: This study tested whether self-reported training volume is predictive of female athlete triad risk collected using an established twelve-question triad screening tool in National Collegiate Athletic Association (NCAA) Division I (DI) collegiate female runners. Methods: A total of 319 institutions were initially contacted, seven of which agreed to distribute surveys to their female cross-country and track and field athletes. A total of 41 of 149 respondents completed the survey and met all inclusion criteria. Linear and binomial logistic regressions examined the relationships between self-reported training volumes and estimated triad risk. Independent samples t-tests were also used to compare training volumes across the high (> 50th percentile for risk factor counts) vs. low-risk groups. Results: Total weekly competition and conditioning resistance training hours were associated with the total number of triad risk factors (p = 0.044) and were also predictive of the triad risk group (p = 0.037). Likewise, both competition and conditioning resistance training hours (p = 0.034) were higher in the high-risk group versus the low-risk group. Conclusions: These findings suggest that self-reported resistance training volume is predictive of triad risk, but additional research is required to determine if monitoring training volume can provide valuable, real-time assessments of triad risk in DI collegiate female runners.