DEVELOPMENT AND VALIDATION OF THE ANTERIOR CRUCIATE LIGAMENT INJURY-RISK-ESTIMATION QUIZ (ACL-IQ)

Over 2 million Anterior Cruciate Ligament (ACL) injuries occur annually worldwide resulting in considerable economic and health burdens (e.g., suffering, surgery, loss of function, risk for re-injury, and osteoarthritis). Current screening methods are effective but they generally rely on expensive and time-consuming biomechanical movement analysis, and thus are impractical solutions. In this dissertation, I report on a series of studies that begins to investigate one potentially efficient alternative to biomechanical screening, namely skilled observational risk assessment (e.g., having experts estimate risk based on observations of athletes movements). Specifically, in Study 1 I discovered that ACL injury risk can be accurately and reliably estimated with nearly instantaneous visual inspection when observed by skilled and knowledgeable professionals. Modern psychometric optimization techniques were then used to develop a robust and efficient 5-item test of ACL injury risk prediction skill—i.e., the ACL Injury-Risk-Estimation Quiz or ACL-IQ. Study 2 cross-validated the results from Study 1 in a larger representative sample of both skilled (Exercise Science/Sports Medicine) and un-skilled (General Population) groups. In accord with research on human expertise, quantitative structural and process modeling of risk estimation indicated that superior performance was largely mediated by specific strategies and skills (e.g., ignoring irrelevant information), independent of domain general cognitive abilities (e.g., metal rotation, general decision skill). These cognitive models suggest that ACL-IQ is a trainable skill, providing a foundation for future research and applications in training, decision support, and ultimately clinical screening investigations. Overall, I present the first evidence that observational ACL injury risk prediction is possible including a robust technology for fast, accurate and reliable measurement—i.e., the ACL-IQ. Discussion focuses on applications and outreach including a web platform that was developed to house the test, provide a repository for further data collection, and increase public and professional awareness and outreach (www.ACL-IQ.org). Future directions and general applications of the skilled movement analysis approach are also discussed.

TEACHING MENSTRUAL HEALTH AND HYGIENE TO YOUNG WOMEN IN EASTERN UGANDA WITH REUSABLE MENSTRUAL PADS

In order to identify the impact of teaching menstrual health and hygiene with reusable menstrual pads on knowledge retention and school attendance, qualitative and quantitative data was collected from three rural schools in three districts of eastern Uganda: Amuria, Bukedea, and Ngora. Research techniques employed were preliminary and post surveys of 85 young women; average age 16.9 years. Findings include positive and negative results. Participants’ feelings of normalcy and comfort increased and participants had improved understanding of sexual climax and appropriate menstrual management strategies. There was no statistically significant impact of teaching on topics of sexual intercourse or pregnancy. The impact of reusable menstrual pad sanitary technology on school attendance was negative as more young women reported missing up to a full day of school during their menstrual period (χ2 (3, 73) = 7.81, p = 0.05). Study limitations are discussed and future work is suggested.