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POSTER ABSTRACTS – FRIDAY, 22 MAY 2015P13.04Contribution of effort, self-efficacy and reflection in self-regulated learning among IndonesianNational Team U19 football playersFridondy Prawira, RT Destria, H MaulanaLabbola Sports Co., Jakarta, IndonesiaThis research discusses about the Self-regulated learning among football athletes. The participantsin this research are 30 players of the Indonesia under-19 (U19) national team. This research uses aquantitative method, which asked the participants to fill out the SRS questionnaire. The researchobjective is by using SRS questionnaire by Toering, TT, Elferink-Gemser, MT, Jordet, G., &Visscher, C. (2009), researchers measure the self-regulated learning variable among theparticipants. The SRS questionnaire has been adapted into local languague to fit the audience of theresearch. Based on the analysis of the research, it was found that out of 30 players, 16 players haveself-regulated learning score above average of overall player. Based on the existing aspects of theSRS measurement tool, the maximum score belongs to the effort aspect and the minimum scorebelongs to the reflection aspect. This concludes effort aspects has most influence to performance ofIndonesia U19 national players.P13.05Workload and recovery in starters and non-starters in women's collegiate soccer athletesTerence Favero, K Winters, K ChandhokeUniversity of Portland, Department of Biology, Portland, OR, USAThe aim of this study was to characterize specific recovery behaviors in comparison workload ofcollege women’s soccer athletes at three key points during the competitive season.Methods: Eighteen female college soccer athletes participated in the study passed by the HumanSubjects Committee. Data was collected using a points based recovery scoring guide developedfrom the Total Quality Recovery model. Recovery activities were scored in the followingcategories; nutrition, hydration, sleep and rest, relaxation and emotional status and cooldown. Datawas collected during preseason, mid-season (during mid-semester exams) and just prior to playoffs.Athletes could earn a maximum of 20 pts per day and 140 points per week. Daily workload wascharacterized by RPE using a modified 20pt Borg scale.Results: No differences were noted in the average number of weekly total recovery points. Theresults for preseason, midseason and pre-playoffs were 111.1 (1.45), 109.9 (1.76) and 117.1 (2.32)(mean + (SEM)), respectively. We did observe increases in daily athlete stress during the academicyear, which was offset by improvements in nutrition, hydration and afternoon rest. Significantworkload difference were observed between starters and non-starters on game day with startersaveraging 16.66 to 11.85 for non-starters. Non-starters also characterized running days as a higherworkload 16.62 (2.01 to 15.00 (1.13) RPE.We demonstrated no differences in recovery behaviors for the entire team across the season, but didobserve significant athlete variation in recovery behaviors. Individual recovery variation couldimpact overall team performance if it were to occur in key individuals.260

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