Evaluation of physiotherapeutic treatments in soccer players with ankle and knee injuries of UNAN-Managua, 2017
DOI:
https://doi.org/10.5377/torreon.v7i19.7910Keywords:
physiotherapeutic treatment, sociodemographic characteristics, clinical characteristics, degree of pain, swelling of segments, body mass indexAbstract
This research was sponsored by Research's Funds from UNAN-Managua.
The evaluation of four physiotherapeutic treatments in soccer players with ankle and knee injuries of UNAN-Managua in 2017 was carried out in a descriptive, correlational and analytical study. Data on sociodemographic and clinical characteristics, degree of pain, swelling of segments and body mass index were analyzed. The statistical analyzes carried out were: descriptive, Pearson Correlation, Factorial Variance Analysis, through Advanced Statistical Modeling.It was applied a Mixed Models to examine the effect of two fixed factors and their possible interaction and Fisher's test (LSD). From the analysis and discussion of the results obtained, the following conclusions were reached: Most of the athletes were from urban origin, with ages between 17 and 20 years old, secondary school and incomplete university in their majority,ligament-type lesions prevailed. The degrees of pain were according to the BASS scale between 0 to 7; in the pre-treatment evaluation and in the post-treatment evaluation, the pain decreased in categories from 0 to 4; therefore, the pains were intermittent. It was determined in the analysis by segment and location that in the right knee the pain was manifested in the former side; the pain in the left knee was manifested in the former and back side . Regarding pain in the ankles, it appeared on both sides of the former side . The Pearson correlation between the right and left segments of the body, provided evidence of significant correlation (p = 0.001). It was demonstrated that there are no significant differences in the physiotherapeutic treatments, gender of the athletes, as well as their interaction (p value = 0.5026, 0.3278 and 0.7697.) The best model evaluated was the Variance Analysis in DCA, Bifactorial with interaction effect, without the random effects of Sportsman and Team, obtaining the lowest values of AIC and BIC.
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