Papers by Panagiotis Roxanas
Medicine and Science in Sports and Exercise, May 1, 2015
The American College of Sports Medicine (ACSM) recommends moderate to vigorous cardiovascular act... more The American College of Sports Medicine (ACSM) recommends moderate to vigorous cardiovascular activities of 30-60 minutes at least 3 days a week. Several interventions have been proposed to change sedentary habits such as active videogames (AVGs). They can be unstructured (to recreation, motivation or rehabilitation) or structured (to elevate the levels of physical activity). Objective to compare oxygen consumption between the structured and unstructured active videogame after 6-week intervention. METHODS: Pernambuco State University (UPE) Research Ethics Committee (nº:577277). Young adults (19-25 years) composed the pre-experimental study. Moment 1: anthropometric measurements (weight and height) and maximal oxygen uptake with maximal test on a cycle-ergometer (Cateye EC-1600 Ergociser) following the ACSM with the protocol of Astrand-Ryhming (1954) and metabolic gas analyzer (CPX/D, Cortex, Germany); and did the familiarization session (20min). After 48 hours at the Moment 2 was randomized three groups. Control group (n=6); AVG Kinect Sports: modality Boxing (unstructured; n=6) and AVG Nike Kinect Training (structured; n=5). Each session lasted 30 minutes in 3 days a week during 6 weeks. To analyze the maximal oxygen uptake at baseline vs after 6-week intervention of each group was used a dependent t Test. The Anova One Way was done to analyze the maximal oxygen uptake among the groups at baseline time and among the 6-week intervention (p≤0.05). RESULTS: No differences between the baseline vs 6-week intervention at control group (p=0.123). There were in unstructured group (p=0.002) and structured group (p=0.029). The maximal oxygen uptake at baseline were 37.8, 35.5 and 38.5 ml.kg/min to control, unstructured and structured group respectively, with no statistical differences among them (p=0.627). After 6-week were 39.7, 39.8 and 47.0 mm.kg/min to control, unstructured and structured group respectively, with statistical difference between control and structured group (p=0.026). The Δ% was 4.7, 11.0 and 18.2% to control, unstructured and structured group respectively. CONCLUSIONS: Both AVGs presented an enhance in maximal oxygen uptake but the structured AVG can present a better improvement due to the characteristics of progression of load that follow the principles of training.
Acta Gymnica, Dec 31, 2016
but for injury prevention as well. Triple jump technique is classified based on phase ratios (i.e... more but for injury prevention as well. Triple jump technique is classified based on phase ratios (i.e. the percentage that each separate jump represents on the entire triple jump distance) and the arm motion or the changes of horizontal velocity during the support phases of the separate jumps (Miller & Hay, 1986). When arm swing is taken into account, technique is characterized as asymmetrical (single-arm), symmetrical (double-arm) or mixed technique, when both swing actions are performed at the same jump (Craft, 1980). Among the factors that contribute to performance in triple jump are the horizontal velocity of the body's centre of mass attained during the approach, the conversion of horizontal-to-vertical velocity during the supports and the harmonious relationship between the
Medicine and Science in Sports and Exercise, May 1, 2018
PURPOSE: Smartphone applications provide an opportunity for implementing physical activity (PA) i... more PURPOSE: Smartphone applications provide an opportunity for implementing physical activity (PA) interventions remotely. However, little research has been published to date on their effects. The purpose of the study was to test the effectiveness of efitbuddy, a theory-based PA smartphone application, on young adults' PA and motivational beliefs through a four-week intervention. METHODS: A quasi-experimental design with control group was used to examine the effects of efitbuddy on participants' PA. 274 college students (167 females, mean age = 19.35±2.09 years) attended baseline and posttests and change scores were computed for each dependent variable (DV). After the baseline test, participants in the intervention group (n=187) downloaded Efitbuddy and used it daily for four weeks. Efitbuddy was a smartphone application developed to promote individual's PA and included four behavior change techniques such as self-monitoring, setting goals, and provision of general health information. PA participation, self-efficacy, and exercise enjoyment were selected as the DVs of the study. A Pearson's correlation analysis was employed on the raw data to examine if the data were suitable for multivariate analyses. The results displayed moderate linear relationships between the pretest and posttest scores on three DVs. Therefore a 2 (group) x 2 (time) x 2 (gender) Multivariate Analysis of Variance (MANOVA) was conducted to examine the differences in the dependent variables. Wilk's lambda was used to decide the statistical significance of the multivariate model. RESULTS: There were no multivariate statistically significant interactions for Group x Time x Gender (Wilks's
Medicine & Science in Sports & Exercise, 2015
Medicine & Science in Sports & Exercise, 2015
Acta Gymnica, Dec 31, 2016
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Papers by Panagiotis Roxanas