Purpose: Adolescents’ and parents’ experiences within a multidimensional school-based physical activity intervention grounded on self-determination theory were explored. Method: Qualitative data from 29 adolescents (aged 15–17 years) and three parents on behalf of the total students’ families were collected via participant observation (research diary), semistructured interviews, and focus groups. Results: Adolescents perceived that the application of motivational strategies, based on self-determination theory, satisfied their basic psychological needs for autonomy, competence and relatedness, favored self-determined motivation, and gave rise to adaptive consequences (improved physical activity knowledge, creation of affective bonds, and increased leisure-time physical activity). These results were supported by the information reported by the students’ parents. Discussion/Conclusions: The findings support the implementation of self-determination theory-based multidimensional interventions to promote adolescents’ physical activity participation. This study also presents several motivational strategies which could be useful for the design and implementation of future school-based physical activity interventions.
Roberto Ferriz, Alejandro Jiménez-Loaisa, David González-Cutre, María Romero-Elías, and Vicente J. Beltrán-Carrillo
Alex G. Shaw, Sungwon Chae, Danielle E. Levitt, Jonathan L. Nicholson, Jakob L. Vingren, and David W. Hill
Purpose: Many athletes report consuming alcohol the day before their event, which might negatively affect their performance. However, the effects of previous-day alcohol ingestion on performance are equivocal, in part, due to no standardization of alcohol dose in previous studies. The purpose of this study was to examine the impact of a standardized previous-day alcohol dose and its corresponding impact on morning-after muscular strength, muscular power, and muscular fatigue in a short-duration test and on performance of severe-intensity exercise. Methods: On 2 occasions, 12 recreationally active individuals reported to the Applied Physiology Laboratory in the evening and ingested a beverage containing either 1.09 g ethanol·kg−1 fat-free body mass (ALC condition) or water (PLA condition). The following morning, they completed a hangover symptom questionnaire, vertical jumps, isometric midthigh pulls, biceps curls, and a constant-power cycle ergometer test to exhaustion. The responses from ALC and PLA were compared using paired-means t tests. Results: Time to exhaustion in the cycle ergometer tests was less (P = .03) in the ALC condition (181  s vs 203  s; –11%, Cohen d = 0.61). There was no difference in performance in vertical jump test, isometric midthigh pulls, and biceps curls tests between the ALC and PLA conditions. Conclusions: Previous-day alcohol consumption significantly reduces morning-after performance of severe-intensity exercise. Practitioners should educate their athletes, especially those whose events rely on anaerobic capacity and/or a rapid response of the aerobic pathways, of the adverse effect of previous-day alcohol consumption on performance.
Sebastian Sitko, Rafel Cirer-Sastre, Francisco Corbi, and Isaac López-Laval
Purpose: To examine the ability of a multivariate model to predict maximal oxygen consumption (VO2max) using performance data from a 5-minute maximal test (5MT). Methods: Forty-six road cyclists (age 38  y, height 177  cm, weight 71.4 [8.6] kg, VO2max 61.13 [9.05] mL/kg/min) completed a graded exercise test to assess VO2max and power output. After a 72-hour rest, they performed a test that included a 5-minute maximal bout. Performance variables in each test were modeled in 2 independent equations, using Bayesian general linear regressions to predict VO2max. Stepwise selection was then used to identify the minimal subset of parameters with the best predictive power for each model. Results: Five-minute relative power output was the best explanatory variable to predict VO2max in the model from the graded exercise test (R 2 95% credibility interval, .81–.88) and when using data from the 5MT (R 2 95% credibility interval, .61–.77). Accordingly, VO2max could be predicted with a 5MT using the equation VO2max = 16.6 + (8.87 × 5-min relative power output). Conclusions: Road cycling VO2max can be predicted in cyclists through a single-variable equation that includes relative power obtained during a 5MT. Coaches, cyclists, and scientists may benefit from the reduction of laboratory assessments performed on athletes due to this finding.
Jasmien Dumortier, An Mariman, Jan Boone, Liesbeth Delesie, Els Tobback, Dirk Vogelaers, and Jan G. Bourgois
Purpose: This study aimed to determine the influencing factors of potential differences in sleep architecture between elite (EG) and nonelite (NEG) female artistic gymnasts. Methods: Twelve EG (15.1 [1.5] y old) and 10 NEG (15.3 [1.8] y old) underwent a nocturnal polysomnography after a regular training day (5.8 [0.8] h vs 2.6 [0.7] h), and, on a separate test day, they performed an incremental treadmill test after a rest day in order to determine physical fitness status. A multiple linear regression assessed the predictive value of training and fitness parameters toward the different sleep phases. Total sleep time and sleep efficiency (proportion of time effectively asleep to time in bed), as well as percentage of nonrapid eye movement sleep phase 1 (NREM1) and 2 (NREM2), slow wave sleep (SWS), and rapid eye movement sleep (REM), during a single night were compared between EG and NEG using an independent-samples t test. Results: Peak oxygen uptake influenced NREM1 (β = 1.035, P = .033), while amount of weekly training hours predicted SWS (β = 1.897, P = .032). No differences were documented between EG and NEG in total sleep time and sleep efficiency. SWS was higher in EG (36.9% [11.4%]) compared with NEG (25.9% [8.3%], P = .020), compensated by a lower proportion of NREM2 (38.7% [10.2%] vs 48.4% [6.5%], P = .017), without differences in NREM1 and REM. Conclusions: The proportion of SWS was only predicted by weekly training hours and not by training hours the day of the polysomnography or physical fitness, while NREM1 was linked with fitness level. Sleep efficiency did not differ between EG and NEG, but in EG, more SWS and less NREM2 were identified.
Alexander T. Latinjak, Eduardo Morelló-Tomás, and Lucia Figal-Gómez
The aim of this article is to present an exploratory interview framework called #SportPsychMapping that can serve as guidance to practitioners in exploring the psychological reality of individuals and collectives. To meet their aim, in this article, the authors address (a) the context in which the exploratory interview framework was developed, (b) the theoretical structure used to select topics and questions, (c) the structure of the interview, (d) the topics and questions in the central section of the interview, (e) the summary section of the interview, and (f) different ways the exploratory interview framework has been applied. The hallmarks of #SportPsychMapping are the structure that includes an opening, central, and summary section; the central section, in which external variables, biopsychological states and traits, and psychological skills are explored; and the summary section, where an individual map is created with key concepts and phrases that reflect the interviewee’s main responses.
Jeanne Barcelona, Erin Centeio, Paige Arvidson, and Kowsar Hijazi
Purpose: This exploratory study evaluated how youth healthy eating (HE) and physical activity (PA) behaviors could be influenced by a whole-of-school program, which was transformed to a virtual setting at the onset of the COVID-19 pandemic. The authors investigated how students experienced programming and the role of students’ perceptions of parental support in their self-reported engagement in HE and PA. Methods: PA and HE curricula were provided across 15 schools over 12 weeks. Students (N = 879, M age = 12.12 years, 63% female) completed a survey evaluating the value and perceptions around programmatic aspects as well as their self-reported engagement in HE and PA. Results: Multiple regression analyses revealed positive relationships between parental support for PA and student engagement, as well as positive relationships between students’ self-efficacy and HE behaviors. Conclusion: Findings indicate that students utilized virtual HE and PA programming and that parent support helped to facilitate engagement in PA and HE behaviors beyond the school setting.