Purpose: To study the prevalence of UI in female athletes, the category of sports with the highest number of cases, the most incident risk factors and the bio-psycho-social consequences. Methods: Preparation of a survey, based on two validated questionnaires answered by 63 participants, to carry out an analytical, transversal and observational study. All participants were European, adult, female athletes (mean age 30.78 years, standard deviation 12.16 years). Results: UI has a high prevalence (44.4%) in female athletes (compared to 10% in non-athletes), being more frequent in those who practice long-distance running. As age and years of sport practice increase, the incidence of this pathology increases. Absorbent pads are used by more than half of women with incontinence, while the rest wet their underwear. Menopause, childbirth and surgery in the region are risk factors for UI, while the presence of urinary tract infections or candidiasis is not. The results state that urine loss does not cause anxiety or depression, but it does affect sporting life. Conclusions: The prevalence of UI in this study is very high and more common in female athletes and the incidence increases with age and other risk factors. The salient consequence of this study is that urine loss affects their sporting environment, but does not induce depression or anxiety.
Ultrasound imaging (US) is a biosensing technique that is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics, such as muscle morphology and quality. Since all biosensors need to be tested in order to demonstrate their reliability, accuracy, sensitivity, and specificity, identifying factors that affect their diagnostic accuracy is essential. Since previous studies analyzed the impact of sociodemographic but not body composition characteristics in US errors, this study aimed to assess whether body composition metrics are associated with ultrasound measurement errors. B-mode images of the lumbar multifidus muscle at the L5 level were acquired and analyzed in 47 healthy volunteers by two examiners (one experienced and one novice). The cross-sectional area, muscle perimeter, and mean echo intensity were calculated bilaterally. A correlation analysis and a multivariate linear regression model were used for assessing the inter-examiner differences with respect to body composition metrics. The results demonstrated good-to-excellent reliability estimates for the cross-sectional area, muscle perimeter, aspect ratio, roundness, circularity, and mean brightness metrics (all ICC > 0.85). However, solidity showed unacceptable reliability (ICC < 0.7). Age, height, total lean mass, trunk lean mass, and water volume were associated with inter-examiner disagreement on mean echo intensity. Cross-sectional area, perimeter, and roundness measurement errors were associated with lean mass and water volume.
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