| Summary: | <b>Background/Objectives</b>: 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. <b>Methods</b>: 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 <i>t</i>-tests were also used to compare training volumes across the high (> 50th percentile for risk factor counts) vs. low-risk groups. <b>Results</b>: Total weekly competition and conditioning resistance training hours were associated with the total number of triad risk factors (<i>p</i> = 0.044) and were also predictive of the triad risk group (<i>p</i> = 0.037). Likewise, both competition and conditioning resistance training hours (<i>p</i> = 0.034) were higher in the high-risk group versus the low-risk group. <b>Conclusions</b>: 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.
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