PURPOSE: The Female Athlete Triad is defined by disordered eating, lack of menstrual cycle and low bone mass. The scope of this study is to document the relative risk of self-reported ligamentous and/or boney injury in females with self-reported menstrual dysfunction. METHODS: Athletes at The Ohio State University, University of North Texas, and University of Utah were presented with questionnaires at their annual pre-season physical. The analysis examined data from Demographic, Menstrual History, and Injury Assessment/History Questionnaires. Each dysmenorrheic athlete (0-6 periods per year) was paired with a eumenorrheic control athlete (10-13 periods per year) using the following variables: 1st) same school, sport and race, 2nd) height, and 3rd) weight. McNemar’s non-parametric test was used to evaluate the predictive power of connective tissue and boney injury on menstrual status. Additional exploratory statistics were then performed using all athletes previously identified as dysmenorrheic and eumenorrheic. Three binary logistic regression models were created to evaluate the most significant predictors of menstrual status, connective tissue injury, and boney injury. RESULTS: The McNemar’s tests found neither connective tissue injury nor boney injury to be significant predictors of menstrual status. Binary logistic regression modeling found age at menarche to be the only significant predictor in both the menstrual status and bone injury models, and sport to be the only significant contributor to the CT injury model. We then divided sports into categories based on NCAA injury risk criteria and based on lean vs. non-lean classification. Further investigation using chi-square tests showed a significant association only between lean sports and bone injury. DISCUSSION: By pairing dysmenorrheic athletes to matched controls, we likely decreased the power of the study and we were unable to identify a significant relationship between menstrual status and boney or ligamentous injuries. In finding age at menarche to be a significant predictor for both the menstrual status and bone injury models using logistic regression with the full dataset, we concluded that an older age at menarche is associated with both future dysmenorrhea and bone injury. In finding sport to be the only significant predictor for the connective tissue injury model,. According to the results of this data, there needs to be more research into the influence of menarcheal age and risk of injury and how it fits into the female athlete triad.