Impact of a physical education-based behavioural skill training program on cognitive antecedents and exercise and sport behaviour among adolescents: a cluster-randomized controlled trial

ABSTRACT

Background: School-based physical education has been associated with a multitude of potential learning outcomes. Representatives of a public health perspective suggest that promoting physical activity in and outside the context of school is an important endeavour. While the importance of behavioural skill training to improve (motor) learning is well documented in both general and physical education, the promotion of behavioural skills to foster physically active lifestyles constitutes a rather neglected area in physical education research.

Purpose: To examine whether a standardized physical education-based behavioural skill training program has the potential to positively impact on adolescents’ self-reported exercise and sport participation, as well as cognitive antecedents involved in the regulation of exercise and sport behaviour.

Research design: Cluster-randomized controlled trial.

Methods: A sample of 143 secondary school students (50% girls, aged 14–18 years) attending academic high schools in German-speaking Switzerland were assigned class-wise to the intervention (behavioural skill training) and control condition (conventional physical education lessons). Data were assessed prior and after completion of the 7-week intervention program, which was composed of four 20-min lessons and two reflection phases. Exercise and sport behaviour and cognitive antecedents (exercise/sport intention, motivation, implementation intentions, coping planning, self-efficacy) were assessed via self-reports. A multilevel mixed effects linear regression procedure was used to test the main hypotheses. The regression analyses were adjusted for clustering of school classes, and controlled for baseline levels of the outcome measure and potential confounders.

Results: Compared to a control condition, the intervention program resulted in significant improvements with regard to introjected motivation (p?<?.05), coping planning (p?<?.001) and self-efficacy (p?<?.01). The intervention also had a positive impact on adolescents’ self-reported sport/exercise behaviour (p?<?.001). Improvements in exercise/sport intention (p?<?.05), coping planning (p?<?.01), and self-efficacy (p?<?.01) were associated with increased levels of self-reported exercise/sport participation.

Conclusion: Behavioural skill training as part of compulsory physical education has the potential to improve cognitive antecedents of exercise and sport behaviour and to foster adolescents’ exercise and sport participation. Enhancing behavioural skills might be one way in which school physical education can contribute to the creation of more physically active lifestyles among adolescents.     

Predicting VO2max in College-Aged Participants Using Cycle Ergometry and Perceived Functional Ability

The purpose of this study was to develop a multiple linear regression model to predict treadmill VO_2max scores using both exercise and non-exercise data. One hundred five college-aged participants (53 male, 52 female) successfully completed a submaximal cycle ergometer test and a maximal graded exercise test on a motorized treadmill. The submaximal cycle protocol required participants to achieve a steady-state heart rate equal to at least 70% of age-predicted maximum heart rate (220-age), while the maximal treadmill graded exercise test required participants to exercise to volitional fatigue. Relevant submaximal cycle ergometer test data included a mean (±SD) ending steady-state heart rate and ending workrate equal to 164.2 ± 13.0 bpm and 115.3 ± 27.0 watts, respectively. Relevant non-exercise data included a mean (±SD) body mass (kg), perceived functional ability score, and physical activity rating score of 74.2 ± 15.1, 15.7 ± 4.3, and 4.7 ± 2.1, respectively. Multiple linear regression was used to generate the following prediction of (R = .91, standard error of estimates (SEE) = 3.36 ml·kg^?1·min^?1): VO_2max = 54.513 + 9.752 (gender, 1 = male, 0 = female) – .297 (body mass, kg) + .739 (perceived functional ability, 2–26) + .077 (work rate, watts) – .072 (steady-state heart rate). Each predictor variable was statistically significant (p < .05) with beta weights for gender, body mass, perceived functional ability, exercise workrate, and steady-state heart rate equal to .594, –.544, .388, .305, and –.116, respectively. The predicted residual sums of squares (PRESS) statistics reflected minimal shrinkage (R_PRESS = .90, SEE_PRESS = 3.56 ml·kg^?1·min^?1) for the multiple linear regression model. In summary, the submaximal cycle ergometer protocol and accompanying prediction model yield relatively accurate VO_2max estimates in healthy college-aged participants using both exercise and non-exercise data.     

Meta-analysis in sport and exercise research: Review,recent developments,and recommendations

Abstract

The purpose of this article is to provide a general overview of the principles and practice of conducting quantitative psychometric meta-analytic reviews in the sport and exercise sciences and highlight some of the recent developments and recommendations from researchers regarding the conduct and validity of meta-analytic methods. After outlining the historical context, the general principles involved in a quantitative cumulation of research findings across empirical studies is reviewed. Subsequently, recent controversies and issues surrounding the use of meta-analysis are reviewed with examples provided from the sport and exercise psychology literature. Specifically, the basis for and selection of meta-analytic models (use of fixed vs. random effects models), the treatment of data from theories that explicitly demand testing the effects of multiple independent variables on a dependent variable (use of multiple regression), and how to treat studies that contain multiple tests of a given effect (use of averaging and structural equation modeling methods) are covered. Recommendations are provided for researchers conducting meta-analytic studies based on these issues.     

Impact of physical activity domains on subsequent physical activity in youth: a 5-year longitudinal study

This study evaluates how domains of physical activity (PA) in youth predict later PA and assesses factors influencing changes in sports participation. Young people from the Children’s Sport Participation and Physical Activity study (n = 873; baseline age 10–18 years; 30.4% male) completed self-report surveys in 2009 and 2014. In a multiple linear regression analysis, participation frequency in club sport (β = 0.18) and extracurricular sport (β = 0.13) significantly predicted PA 5 years later, adjusted for age, sex and urban/rural classification (P < 0.01). Overall, rates of regular (at least once per week) youth sports participation were high (males 79.3–85.5%; females 74.8–83.2%). Uptake and dropout of specific sports varied widely. Despite high levels of migration into and out of Gaelic games, they remained popular at follow-up. Weight training was the only sport that increased in both sexes (P < 0.05). Fitness, friends and enjoyment were top motivations for taking up a new sport. Other commitments, a lack of interest and time were important factors leading to sports dropout. PA promotion strategies should include youth sport, take into consideration what sports are attractive to young people and address reasons for uptake and dropout.     

Introduction to Sample Size Choice for Confidence Intervals Based on t Statistics

Sample size can be chosen to achieve a specified width in a confidence interval. The probability of obtaining a narrow width given that the confidence interval includes the population parameter is defined as the power of the confidence interval, a concept unfamiliar to many practitioners. This article shows how to utilize the Statistical Analysis System (SAS) proc power procedure to determine an appropriate sample size and achieve sufficient power for a specified confidence interval. Two examples in sport and exercise science are used to illustrate sample size determination for confidence intervals in the dependent and independent t tests. The relevant SAS code and output are provided with detailed annotations. As the use of confidence intervals becomes a more integral part of studies in sport and exercise science, the reporting and analysis of their power should be considered much like that of hypothesis tests.     

Influence of sport type and interdependence on the developmental experiences of youth male athletes

Abstract

The purpose of this study was to examine the relationships between sport type, interdependence (task and outcome), and the developmental experiences of select male basketball players (n=129) and middle-distance runners (n=83) aged 14–17 years. Athletes completed the Youth Experiences Survey 2.0 (Hansen & Larson, 2005) and a modified measure assessing task and outcome interdependence (Van der Vegt, Emans, & Van de Vliert, 1998 Vliert, 2001). Hierarchical multiple regression determined that basketball players reported higher rates of teamwork and social skills, adult networks and social capital, and negative experiences. Furthermore, outcome interdependence was a predictor of identity exploration, initiative, emotional regulation, positive relationships, teamwork and social skills, and adult networks and social capital experiences independent of sport type. Although different sports may provide different learning environments, the developmental experiences youth garner may be more strongly influenced by how the people involved interact (outcome interdependence) than by the type of sport.     

Prospective study of sport dropout: A motivational analysis as a function of age and gender

Abstract

Introduction: This paper aimed to analyse the predictive ability of a self-determination theory (SDT) based model describing competitive sport dropout, and variance as a function of age and gender. Variables included in the model were: psychological need satisfaction, self-determined motivation, perceived conflict between sport and study, intention to practise sport, and dropout.

Methods: A prospective study was performed over a period of 19 months. Variables considered as predictors of sport dropout were measured initially, and after 19 months persistence or dropout was assessed. The sample consisted of 857 athletes aged 11–19 (mean value 15.3; standard deviation = 1.77), 680 males and 177 females.

Results: Structural equation modelling illustrated support for an “alternative” model that incorporated a direct relationship between psychological need satisfaction and intention to practise sport. Analysis of invariance showed that the model was consistent as a function of age and gender, i.e. no differences were found in regression weights. MANOVA, however, revealed some group differences with respect to the dependent variables. Specifically, in terms of engagement, although assessed at the start of the study, those athletes who persisted at 19 months demonstrated greater need satisfaction, self-determined motivation and intention to practise sport than those who dropped out. Age related differences were also identified: with increased age self-determined motivation and intention to practise sport decreased, while there were no differences in need satisfaction or perceived conflict between sport and study. There were no differences related to gender.

Discussion: The results support previous studies that had used SDT to predict sport dropout, specifically those that had reported an inverse relationship between self-determined motivation and perceived conflict between activities. Further, it suggests that other variables (emotional) may play a specific role in predicting intention to continue engagement with sport.

Conclusion: The major contribution of the study is in validating a motivational model predicting sport dropout which incorporates perceived conflict and the direct effect of psychological need satisfaction on the intention to practise sport. The invariance of regression weights between age and gender groups suggests that the relationships proposed in the model are universal.     

Non-targeted metabolomics in sport and exercise science

Metabolomics incorporates the study of metabolites that are produced and released through physiological processes at both the systemic and cellular levels. Biological compounds at the metabolite level are of paramount interest in the sport and exercise sciences, although research in this field has rarely been referred to with the global ‘omics terminology. Commonly studied metabolites in exercise science are notably within cellular pathways for adenosine triphosphate production such as glycolysis (e.g., pyruvate and lactate), β-oxidation of free fatty acids (e.g., palmitate) and ketone bodies (e.g., β-hydroxybutyrate). Non-targeted metabolomic technologies are able to simultaneously analyse the large numbers of metabolites present in human biological samples such as plasma, urine and saliva. These analytical technologies predominately employ nuclear magnetic resonance spectroscopy and chromatography coupled to mass spectrometry. Performing experiments based on non-targeted methods allows for systemic metabolite changes to be analysed and compared to a particular physiological state (e.g., pre-/post-exercise) and provides an opportunity to prospect for metabolite signatures that offer beneficial information for translation into an exercise science context, for both elite performance and public health monitoring. This narrative review provides an introduction to non-targeted metabolomic technologies and discusses current and potential applications in sport and exercise science.     

Population physical activity behaviour change: A review for the European College of Sport Science

Abstract

The academic study of sport and exercise science has expanded greatly into the arena of public health over the past 20 years or more and Europe has played a significant role in this. It is opportune to review evidence concerning ways to change population levels of physical activity for health. This paper summarises such evidence by using a lifespan approach with physical activity behaviour change for children and adolescents, adults and older adults. Correlates of physical activity are identified and the outcome of interventions is discussed. Intervention success has been variable often due to weak fidelity and short-term implementation, and process evaluation is missing from many such studies. Nevertheless, evidence points to possible behaviour change across all age groups and through multiple settings, including schools, worksites and the community.     

Strength and conditioning

Current information and evidence indicate that for most activities free weight training can produce superior results compared to training with machines, particularly when the free weight training involves complex, multi‐joint exercises. A number of reasons can account for the superiority of free weights; the major factor deals with mechanical specificity. Mechanical specificity is concerned with appropriate movement patterns, force application and velocity of movement. Considering the available evidence that adherence to the concept of specificity of exercise and training can result in a greater transfer of training effect then free weights should produce a more effective training transfer. Therefore, the majority of resistance exercises making up a training programme should include of free weight exercises with emphasis on mechanical specificity (i.e. large muscle mass exercises, appropriate velocity, contraction type etc.). Generally, machines should be used as an adjunct to free weight training and, depending upon the sport, can be used to a greater or lesser extent during various phases of the training period (preparation, pre‐competition, competition).     

Sport: a scientific experiment?

Abstract

Science plays an increasingly important role in sport. Innovative high-tech equipment and research-based exercise regimes are vivid examples. In more subtle forms, scientific ways of thinking impact how sport is understood and practiced. I examine the possibilities and limits of scientific rationality in the set-up of competitive sport. Standard requirements on reliability and validity make sense when it comes to the quest for equal opportunity, and for fair and impartial evaluation of performance. However, whereas the instrumental aim of science is ‘certified’ knowledge, I argue that sport has primary meaning and value in itself. In further analysis of the normative structure of sport, an alternative ludic rationality emerges with elements of merit, chance and luck. I argue that sport is structured to cultivate not only athletic but human excellence. I conclude that upholding ludic rationality, operationalized in norms for fair play, is crucial for realizing sport’s characteristic values.     

《ACSM运动测试与运动处方指南》的过去、现在与未来

《ACSM运动测试与运动处方指南》(简称《ACSM指南》)经过近半个世纪、11版的更新一跃成为全球运动健康界的“圣经”之一。通过对《ACSM指南》过去(第一至第五版)和现在(第六至第十一版)从版面、作者团队、内容的变化和相应的历史大事记的回顾对《ACSM指南》的发展进行系统介绍，并在此基础上揭示《ACSM指南》一路走来的4个成功秘诀。通过对运动健康未来发展的变化和需求，预测指南未来可能面临的“四化”和急需改进的2个方面，并对《ACSM指南》未来的发展进行展望。《ACSM指南》的不断完善，一定会给中国的体育专业人员和大众锻炼人群带来更及时的科学健身指导意见，为中国体育科研工作者在科学运动指导上积累经验、形成共识作出贡献，为建立具有中国特色的《运动指南》助力。     

Bone mineral density in top level male athletes of different sports

The purpose of this study was to determine the influence of muscle strength, trainingspecific and anthropometric parameters on bone mineral density (BMD) in male top athletes of different sports in comparison to untrained controls. BMD was measured by dual energy X-ray absorptiometry in 173 males, aged 18 to 31 years. Of these, 104 were athletes (runners, n = 21; cyclists, n = 12; triathletes, n = 18), heavy athletes (HA, judo and wrestling, n = 28), and team sport athletes (TS, handball, soccer, basketball, volleyball, n = 25); 44 were unspecifically trained sport students (STU); and 25 were untrained controls (UT). Sport- and group-specific differences were found in anthropometric but not strength parameters. Marked sport- and group-specific differences were found for BMD at lumbar spine (LSP) and the femoral sites (FEM). Group-specific effects on BMD were clearest when calculating percentual differences between BMD of athletes and UT: In group I (HA, TS, and STU), BMD at LSP and FEM were significantly (p < .01) higher compared to UT; in group II (R and TRI), BMD at FEM but not at LSP was higher compared to UT (p <.01); and in group III (C), no BMD value was significantly different from UT. Multiple regression analysis revealed lean body mass to be the strongest predictor for BMD at LSP and FEM. We conclude that mechanical loads have strong effects on bone adaptation. Sport-specific and body region-specific effects have to be taken into account for evaluation of osteogenic effects of exercise. Particularly dynamic sports with short, high, and multidimensional loads have the strongest effects on bone formation, independent of training quantity.     

Trends and knowledge base in sport and exercise psychology research: a bibliometric review study

Bibliometric methods were used to examine: (1) research themes in sport and exercise psychology articles published between 2008 and 2011; and (2) the intellectual base of the field of sport and exercise psychology, defined as influential literature being cited in these articles. The dataset consisted of 795 articles from five sport and exercise psychology journals and 345 articles obtained through citation-based extension (n = 1140 articles). A cluster analysis yielded 73 clusters showing themes in sport and exercise psychology research. Principal component analysis was used to identify and analyze relationships between 14 highly cited research areas constituting the intellectual base of sport and exercise psychology. Some main findings were: (1) the identification of many re-emerging themes, (2) research related to motivation seems to be extensive, (3) sport psychology and exercise psychology research share theoretical frameworks to some extent, however (4) differences compared to previous reviews indicate that sport psychology and exercise psychology may be regarded as two distinct research fields, rather than one united field, and (5) isolated research areas were identified indicating potential for research integration. Suggestions for future research are provided. The bibliometric approach presented a broad overview of trends and knowledge base in sport and exercise psychology research.     

From anti-doping to a ‘performance policy’ sport technology,being human,and doing ethics

Abstract

This paper discusses three questions concerning the ethics of performance enhancement in sport. The first has to do with the improvement to policy and argues that there is a need for policy about doping to be re-constituted and to question the conceptual priority of ‘anti’ doping. It is argued that policy discussions about science in sport must recognise the broader context of sport technology and seek to develop a policy about ‘performance’, rather than ‘doping’. The second argues that a quantitative enhancement to a sporting performance has no value and is, thus, unethical, unless the motivation behind using it implies something meaningful about being human. Thus, unless the use of the technology is constitutive of our humanness, then it is not a justifiable method of altering (rather than enhancing) performance. This rules out the legitimacy of using performance enhancement to gain an advantage over other competitors, who do not have access to similar means. Finally, the third argument claims that sport ethics has had only a limited discourse and has failed to recognise broader theoretical ideas in relation to performance modification, which might be found in the philosophy of technology and bioethics. Collectively, these positions articulate important concerns about the role of science in sport and the ethical discussions arising from them.     

训练科学的未来已来——NSCA's Essentials of Sport Science解读

为了方便国内读者阅读和理解美国国家体能协会（NSCA）于2022年出版的NSCA′s Essentials of Sport Science,从出版背景、翻译中的若干问题、对我国训练科学与训练实践未来发展的启示3个方面撰写此书评。本书的推出是NSCA填补美国训练科学衰败留下的空白的一次主动作为,来自全球13个国家的51名专家基于最新研究成果和实践经验向读者呈现了近十年世界训练科学与训练实践的前沿动态。我国运动训练学亟待向训练科学迈进,加强学科的科学性、实践性、多学科性和应用性,更大程度实现体育多学科的融合、理论与实践的融合、科学与经验的融合、知识生产与转换的融合、行业建设与学科发展的融合,在竞技体育强国建设中勇挑重任、主动作为。     

A Confirmatory Factor Analysis of the Life Orientation Test—Revised With Competitive Athletes

Current reviews outside of sport indicate that the Life Orientation Test-Revised (LOT-R) items load on two separate factors (optimism and pessimism) and, therefore, should be treated as independent constructs. However, researchers in the sport sciences continue to use the single composite score reflecting a unidimensional definition of optimism. Hence, I sought to explicitly examine the factor structure of the LOT-R with athletes. Results of this study support the two-factor structure, which is consistent with accumulating evidence outside of sport and exercise science. This contribution is an important first step toward continued examination of this instrument and future work on the influence of optimism (versus pessimism) on sport and exercise behavior.     

Assessing what generates precompetitive emotions: development of the precompetitive appraisal measure

Athletes’ precompetitive appraisal determines which emotion they experience with regard to an upcoming competition. Such precompetitive emotions have powerful and potentially destructive consequences for performance. To control and optimise these consequences, it is important to examine precompetitive appraisal. Currently, such efforts are hampered by the lack of a valid measurement tool. The present study aimed to develop a novel measure of precompetitive appraisal. Specifically, the Precompetitive Appraisal Measure (PAM) was constructed by adapting an existing self-report scale. Female and male intercollegiate team sport athletes (N = 384) completed the PAM, along with a measure of intensity and interpretation of precompetitive anxiety symptoms (CSAI-2D) prior to competition. On these responses, (a) a Principal Component Analysis and a Confirmatory Factor Analysis supported the PAM’s suggested two-factor structure (Primary and Secondary Appraisal), (b) cluster analyses indicated the measure’s ability to distinguish theoretically congruent appraisal profiles (Threat and Challenge) and (c) a MANOVA and multiple regression analyses demonstrated that PAM-responses predicted precompetitive symptom intensity and interpretation. Further, analyses revealed that the majority of athletes appraised the upcoming competition as a challenge.     

Understanding the track and field sprint start through a functional analysis of the external force features which contribute to higher levels of block phase performance

This study aimed to identify the continuous ground reaction force (GRF) features which contribute to higher levels of block phase performance. Twenty-three sprint-trained athletes completed starts from their preferred settings during which GRFs were recorded separately under each block. Continuous features of the magnitude and direction of the resultant GRF signals which explained 90% of the variation between the sprinters were identified. Each sprinter’s coefficient score for these continuous features was then input to a linear regression model to predict block phase performance (normalised external power). Four significant (p < 0.05) predictor features associated with GRF magnitude were identified; there were none associated with GRF direction. A feature associated with greater rear block GRF magnitudes from the onset of the push was the most important predictor (β = 1.185), followed by greater front block GRF magnitudes for the final three-quarters of the push (β = 0.791). Features which included a later rear block exit (β = 0.254) and greater front leg GRF magnitudes during the mid-push phase (β = 0.224) were also significant predictors. Sprint practitioners are encouraged, where possible, to consider the continuous magnitude of the GRFs produced throughout the block phase in addition to selected discrete values.