Background. The purpose of this study was to determine differences in situational efficiency parameters that differentiate male basketball teams according to outcome. Sample of entities consisted of 38 games played in the Olympic Games in London 2012. Methods. Situational efficiency variables that affected the final outcome were comprised of 13 parameters. Differences between successful and unsuccessful teams were obtained using Student’s t-test. Also, overall differences between teams were analysed applying multivariate analysis of variance (MANOVA) and discriminant analysis with standardized canonical coefficients (SCC). Significant value was set up at p ≤ .05. Results. Results showed overall statistical differences in situational parameters between teams (p < .001). Also, discriminant function showed that situation parameters 2 pts-fail (F-value -14.82, SCC = –0.967, p < .001), 3 pts-fail (F-value = 5.57, SCC = –0.403; p < .05), offensive rebounds (F-value – 16.38, SCC = 0.943, p < .001), defensive rebounds (F-value = 6.66, SCC = 0.822, p < .05), turnovers (F-value = 14.03, SCC = –0.608, p < .001) and steals (F-value = 4.78, SCC = 0.425, p < .05) differentiated most of the teams according to outcome. Conclusion. On the basis of the obtained results we suggest that winning teams had technical-tactical parameters on higher level due to better timing of sports fitness with adequate resting periods and type of training process.
The purpose of the study was to compare the degree of intersubject variability in the cardiorespiratory, metabolic, and perceptual responses to high‐intensity interval training (HIIT) prescribed based on the relative anaerobic speed reserve (ASR) or maximal aerobic speed (MAS) and to identify the optimal % ASR for execution of such HIIT. Seventeen male physical education students (age: 23.6 ± 1.1 years, height: 180.2 ± 5.9, body mass: 78.3 ± 8.1 kg; % body fat: 14.3 ± 2.7%) volunteered to execute three randomly scheduled 10‐min HIIT exercises at 110% vVO2max, Δ15% ASR, or Δ25% ASR. Analysis of variance for repeated measures and the least significant difference post‐hoc test were used to compare the physiological responses and the mean of individual residuals between the training sessions. The coefficients of variation (CV) of time spent ≥90% of maximal oxygen uptake (VO2max) and maximal heart rate (HRmax), peak VO2, mean VO2, peak HR, mean HR, blood lactate [La], and rating of perceived exertion (RPE) were 48.7%, 35.9%, 9.3%, 7%, 3.5%, 4.8%, 32%, and 16.9% during 110% vVO2max, 47.2%, 31%, 7.5%, 6.7%, 3.9%, 4.6%, 24.2%, and 14.6% during Δ15% ASR, and 48.1%, 31.5%, 7.6%, 8.4%, 3.6%, 4.1%, 20.2%, and 3.4% during Δ25% ASR session, respectively. Only the residuals in RPE were significantly (p < 0.001) higher in 110% vVO2max and Δ15% ASR in comparison to Δ25% ASR. Time spent ≥90% HRmax/VO2max was maximized during Δ15% ASR session, albeit this was not significantly different from other sessions. The ASR‐based method leads to reduced CVs of physiological and perceptual responses during 10‐min HIIT; however, only reductions in [La] and RPE may be considered practically meaningful. Practitioners can use vVO2max for prescription of 10‐min HIIT session comprised of 15‐s work and passive recovery intervals.
Background One of the most important areas of interest in the world today and throughout history is health. Numerous investigations are confirming positive effects of physical activity on health and this is the reason why physical activity and exercise should be measured as often as possible. Croatia as the youngest member state in European Union does not have excellent results in the levels of physical activity among its population. In this research the aim was to assess the levels of physical activity in the city of Dubrovnik and compare it to the levels of Physical activity in Croatia and European Union. Methods Participants in this investigation were 670 adult citizens of the City of Dubrovnik, Croatia. Levels of physical activity was measured using Eurobarometer questionnaire. Descriptive statistical parameters Mean and Standard deviation same as Statistical Difference between the values in Dubrovnik, Croatia and European Union were calculated using statistical program package Statistica. Results Overall results show significantly better situation in Dubrovnik when comparing with the results measured on national level and on European Union level. While, according to the Eurostat's analysis in 2017, there is 46% of citizens of European Union and even 56% of citizens in Croatia that never exercise or play sports in the City of Dubrovnik there is only 17,31% of citizens that never exercise or doing sports. The most important reasons for doing physical exercise or sport (motivators) among citizens of Dubrovnik is improvement of health (45%) and improvement of physical appearance (30%). Almost half of the sample (47%) pointed out the lack of time as the main barrier in doing physical exercise or sport. Conclusions This investigation shows good way to assess the information on levels of physical activity of the citizens and accordingly creating a public policy on further development and improvement of this important area. This investigation is part of document called Strategic development of Sport and Sport's Infrastructure in Dubrovnik and it reveals encouraging data for this Croatian city.
No abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.