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Abdou Y. Omorou, Johanne Langlois, Edith Lecomte, Anne Vuillemin, Serge Briançon, and on behalf of the PRALIMAP Trial Group


explaining why and how overweight prevention programs were effective was a real need; especially the potential role of physical activity (PA) and sedentary behavior (SB) should be highlighted. This study aimed to evaluate the 2-year effectiveness of a screening and care strategy in adolescents’ weight reduction with regards to PA and SB change.


1745 adolescents aged 15.1 years from PRALIMAP trial was included (n = 840 for screening and care group and n = 905 for control group). PA and SB time (international physical activity questionnaire: IPAQ), body mass index (BMI), and BMI z-score were assessed at inclusion and after 2-year intervention. Hierarchical mixed models were applied.


Compared with the control group, screening and care strategy was associated with an increase in global PA (58 min/week), a moderate PA (43 min/week), the adherence to the French PA guidelines (OR = 1.3), and a decrease in SB (−198 min/week). The 2-year weight change decreased when adjusted for PA and SB suggesting that the effect of screening and care strategy was partly mediated by PA and SB.


Screening and care intervention seemed to be effective in increasing PA and decreasing SB. The induced PA and SB modifications contributed to the observed weight change.

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Tim Barrett

The purpose of this investigation was to assess the effects of a cooperative learning strategy in physical education on academic learning time, the percentage of correct trials, the total number of trials, and correct trials. A cooperative learning strategy, Performer and Coach Earn Rewards (PACER), was implemented in a sixth-grade physical education class. Four children (two boys and two girls) participated. An ABAB withdrawal design was used to assess the effects of PACER during an 18-day unit of instruction. Functional relationships were demonstrated for the percentage of correct trials for all participants. Interestingly, low-skilled students performed as well as their average- and highly skilled counterparts.

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Kevin D. Dames, Jeremy D. Smith, and Gary D. Heise

Gait data are commonly presented as an average of many trials or averaged across participants in order for trends to be observed. Averaging many trials reduces the impact of intra- and interindividual variability inherent in the data. 1 Qualitatively, strong trend lines that do not overlap suggest

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Leeann M. Lower-Hoppe, James O. Evans, Richard L. Bailey, and Shea M. Brgoch

; and synergy ( Caudill, 2019 ). This manuscript describes implementing coopetition through a mock trial for the sport management classroom. Coopetition Through Mock Trial Mock trial is an engaging experiential alternative to traditional didactic teaching ( Gershuny et al., 2012 ; Seiter & Gass, 2013

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John Miller and Todd Seidler

Mock trials, as experiential learning opportunities, provide important “learning by doing” activities that are particularly effective in exposing students to complex “real-world” situations ( Noblitt, Vance, & DePoy Smith, 2010 ). Important goals of a mock trial exercise are to help students

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Marco J. Konings and Florentina J. Hettinga

moderate intensity in combination with a rest period of more than 3 min after protocol completion and before the time trial. Although feedback regarding the internal bodily state is crucial in exercise regulation, the importance of whatever is happening in the external world around the exerciser has been

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Sjors Groot, Lars H.J. van de Westelaken, Dionne A. Noordhof, Koen Levels, and Jos J. de Koning

model, 8 it has been shown that a decrease in GE of 0.9% results in a 25.6-second slower finish time during a 20,000-m cycling time trial. 9 Multiple studies found a decreased GE after high-intensity exercise. 10 – 13 Noordhof et al 11 showed that GE was lower after time-trial exercise than before

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Amin Daneshfar, Carl J. Petersen, Majid S. Koozehchian, and Daniel E. Gahreman

rate of dropped power output in sets 3 and 4 was significantly reduced after CAF versus placebo. Similarly, Ryan et al. ( 2013 ) observed enhanced cycling time trial (TT) after delivering 300 mg of caffeine via chewing gum 5 min before exercise. Interestingly, the same dosage 60 and 120 min preexercise

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Keita Kamijo and Yuji Takeda

The relationship of physical activity to trial-by-trial adjustments of response conflict was assessed using behavioral task performance, the N2 event-related brain potential component, and phase-locking values (PLVs) in a lower gamma band during a perceptual conflict task. Nineteen physically active and 19 inactive young adults (mean age = 21.3 years) performed a Navon task, using a global letter made up of local letters of either the same kind (congruent trials) or a different kind (incongruent trials). Findings revealed that active individuals exhibited smaller N2 amplitudes and greater PLVs on incongruent trials that were preceded by incongruent trials compared with those preceded by congruent trials. Such phenomena were not observed for inactive individuals. These results suggest that greater physical activity is associated with larger trial-bytrial adjustments of response conflict, which we attribute to upregulation of top-down cognitive control and reductions in response conflict.

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Ana B. Peinado, Nuria Romero-Parra, Miguel A. Rojo-Tirado, Rocío Cupeiro, Javier Butragueño, Eliane A. Castro, Francisco J. Calderón, and Pedro J. Benito

France, Giro d’Italia, and Vuelta a España), focusing on both competition formats: mass-start stages 4 and individual and team time trials (TTs). 5 Uphill TTs are important stages for general classification, and their intensity is related to not only ascent difficulty but also their position within the