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Ultrastructural depiction with the tegument in protoscoleces regarding Echinococcus ortleppi.
Foam rolling (FR) is a method of self-myofascial release (SMR) implemented to reduce tension in underlying soft tissue, leading to increased range of motion (ROM). The hip adductor muscles of the groin are commonly less flexible and often a site for soft tissue injuries. Limited research has been done to determine the most effective flexibility exercises to increase ROM in the groin muscles prior to exercise without comprising strength. The purpose was to determine the effect of an acute bout of FR on passive groin flexibility and strength. Randomized crossover study with 3 × 2 (Condition × Time) repeated measures ANOVA statistical design. 40 volunteers (n = 20 males; n = 20 females) with limited flexibility in groin ROM participated. Following warm-up, maximal voluntary isometric contraction (MVC) and static ROM were measured pre and postintervention. Conditions included 60 seconds of FR, SS, and CON. The Condition × Time interaction was not significant for MVC or ROM. A main effect of time showed a significant increase in ROM from pre to post for FR (1.2°, p 0.05), whereas SS and CON both increased (p less then 0.05). An increase in passive groin ROM after acute bouts of SMR or SS without compromising MVC was observed. This suggests that 60 seconds of FR may be employed before exercise to improve flexibility without strength decrement.Sleep is an extremely important component for overall health and for a well-balanced training program. Recent studies have highlighted the interaction between sleep, recovery, and performance in elite and recreational athletes alike. Exercise has been known to affect the quality of sleep, nevertheless the impact is not well understood in the current research, particularly the effects of exercise timing and intensity on sleep quality. The purpose of this study was to understand if exercise timing and intensity significantly impact sleep quality among recreational exercisers. The participants involved were recreational exercisers who were self-grouped into an AM or PM exercise group. They participated in a seven-day quantitative, quasi-experimental, exploratory study wearing an Actigraph watch. The participant's intensity was also self-grouped into moderate intensity or high intensity based on criteria cut points. Data was analyzed using a factorial ANOVA to examine if there was a significant difference between exercise timing and intensity on sleep quality of the participants. There were no significant differences in sleep quality in either the time group (AM vs PM) or the intensity group (MOD vs VIG) within the four measures of sleep that were looked at throughout this study; total sleep time, sleep onset latency, sleep efficiency % and wake after sleep onset (TST, SOL, SE, and WASO). Results within both, the AM and PM group and the MOD and VIG group, results showed no significant differences. These results conclude that neither exercise intensity or timing had an effect on sleep quality.The study aims at measuring the effects of six weeks of specific circuit training (SCT) according to the 15-15 modality, on selected physiological parameters in national top-level basketball players. It was an intervention study, undertaken with 44 senior players randomly assigned to two groups depending on the program intervention (IG n = 22; SCT) and control (CG n = 22; usual content of the defending champion team's), submitted to a six-week training block. The heart rate recovery at 1 (HRR1) and then 2 (HRR2) minutes, the double product (DP) and V̇O2max were assessed prior to and at the end of the training period. As appropriate, the Student t-test on paired or independent samples, was used to compare measures and groups. At the end of the training period, the HRR1 decreased by 14.2% (p = 0.01) and 14.1% (p = 0.03) respectively in IG and CG. The mean HRR2 was higher in IG than in GC (63 ± 8 bpm versus 57 ± 6 bpm, p = 0.003) at the end of the training period. The variation of DP in IG was not significant (p = 0. 42) while it increased by 7.2% (p = 0.0005) in CG. The V̇O2max increased by 6.5% (p less then 0. 001) in IG but not in CG (p = 0.50). The specific circuit training block in the 15-15 modality improved heart rate recovery at one minute and V̇O2max, but had no effect on the double product in the basketball players studied.Researchers investigating the determinants of marathon performance have previously focused on pre-race (e.g. training) or in-race (e.g. ActinomycinD pacing) variables, but not both. This cross-sectional study, therefore, sought to elucidate the relationship between training behaviours, in-race pacing and anthropometric variables with eventual marathon finish time. A self-report questionnaire collecting athletes' anthropometrics, training behaviours and recent race times was administered to 260 participants in the 2018 Dublin Marathon. Participants' race numbers were cross referenced with in-race split times and finish times to determine their race performance. The accuracy or pragmatism of participants' target finish time was calculated using a 'predicted' time based on their training and previous race performances and subtracting this value from their eventual finish time. Multiple regression analysis examined the influence of age, body mass index (BMI), marathon experience, training history, target finish time pragmatism and in-race pace variance on marathon performance. The model was statistically significant and predicted marathon finish time F(7,252) = 217.761, p less then 0.0005, adj. R2 = 0.858. Marathon experience (p = 0.01, Beta = 0.06), a pragmatic target finish time (p less then 0.0005, Beta = -0.36), training history (p less then 0.0005, Beta = 0.76) and in-race pace variance (p less then 0.0005, Beta = 0.26) made statistically significant contributions to the overall regression model. A marathoners' training history accounts for the greatest variance in their overall performance, followed by the pragmatism of their target finish time and their in-race pace variance. This study provides the first indication of the combined relative importance of anthropometric, training and pacing variables to marathon performance.
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