Cross-sectional comparison of body composition and resting metabolic rate in Premier League academy soccer players: Implications for growth and maturation

ABSTRACT

For the first time we aimed to: (1) assess fat-free mass (FFM) and RMR in youth soccer players, (2) compare measured RMR to estimated RMR using previously published prediction equations, and (3) develop a novel population-specific prediction equation. In a cross-sectional design, 99 males from a Premier League academy underwent assessments of body composition (DXA) and RMR (indirect-calorimetry). Measured RMR was compared to estimated values from five prediction equations. A novel RMR prediction equation was developed using stepwise multiple regression. FFM increased (P<0.05) between U12 (31.6±4.2 kg) and U16 (56.3±5.3 kg) after which no further increases occurred (P>0.05). RMR in the U12s (1655±195 kcal.day^?1), U13s (1720±205 kcal.day^?1) and U14s (1846±218kcal.day^?1) was significantly lower than the U15s (1957±128 kcal.day^?1), U16s (2042±155 kcal.day^?1), U18s (1875±180 kcal.day^?1) and U23s (1941±197 kcal.day^?1) squads (P>0.05). FFM was the single best predictor of RMR (r²=0.43; P<0.01) and was subsequently included in the novel prediction equation: RMR (kcal.day^?1) = 1315 + (11.1 x FFM in kg). Both FFM and RMR increase from 12-16 years old, thus highlighting the requirement to adjust daily energy intake to support growth and maturation. The novel prediction RMR equation developed may help to inform daily energy requirements.     

Contribution of Mindfulness and Emotional Intelligence to Burnout Among Counseling Interns

The authors examined the contribution of mindfulness and emotional intelligence to burnout among counseling interns (N = 380). Results indicated that higher scores on mindfulness and emotional intelligence were related to lower burnout scores. Counselor educators and supervisors should be proactive in helping students to cultivate wellness practices during internships.     

Examining the characteristics of student postings that are liked and linked in a CSCL environment

This case study is the first iteration of a large‐scale design‐based research project to improve Pepper, an interactive discussion‐based learning environment. In this phase, we designed and implemented two social features to scaffold positive learner interactivity behaviors: a “Like” button and linking tool. A mixed‐methods approach was used to examine communicative and cognitive characteristics of notes. Additionally, we develop and apply a new metric for cognitive complexity that acknowledges a range of cognitive behavior valuable to a learning community. The findings suggest that the Like and linking functions positively cultivated and sustained interactive behaviors among students, which also led to an increase in the cognitive complexity of student contributions to the online discussion. Suggestions for future iterations of this project are offered.     

GENDER DIFFERENCES IN ACHIEVEMENT IN A LARGE,NATIONALLY REPRESENTATIVE SAMPLE OF CHILDREN AND ADOLESCENTS

The purpose of this study was to investigate developmental gender differences in academic achievement areas, with the primary focus on writing, using the child and adolescent portion (ages 6–21 years) of the Kaufman Test of Educational Achievement—Second Edition, Brief Form, norming sample (N = 1,574). Path analytic models with gender, parent education, age, age², and gender‐by‐age moderation as predictors of reading, writing, and math were used to test for gender differences and for the influence of development on these differences. A small but consistent advantage was identified for females in reading. No gender differences were detected in math. The most important results of the present study pertain to a gender gap in writing in favor of females that increased as a function of age. Male students are at greater risk for writing failure than are females.     

The development and validation of an instrument assessing student-institution fit

While past research has focused on how student background characteristics and university experiences predict student retention and achievement, very few studies have examined the role that student-institution ‘fit’ might play in this process. In this study, we developed and validated a student-institution fit instrument that assesses the correspondence between student and institutional characteristics. We then examined the extent to which student-institution fit and friendship groups predict indicators of student success (e.g. academic adjustment and disengagement), which in turn predict future intentions. Using independent samples of undergraduate students from two Australian universities, exploratory and confirmatory factor analyses provide evidence for a unidimensional model of student-institution fit. Moreover, structural equation modelling analyses indicate that student-institution fit predicts greater academic adjustment and less disengagement, which in turn predict intentions regarding retention, transferring to another university, and changing major or career choice.     

Searching for New Answers: The Application of Task‐Technology Fit to E‐Textbook Usage

Students have been slow to adopt e‐textbooks even though they are often less expensive than traditional textbooks. Prior e‐textbook research has focused on adoption behavior, with little research to date on how students perceive e‐textbooks fitting their needs. This work builds upon Task‐Technology Fit (TTF) and Consumer Acceptance and Use of Technology (UTAUT2) theory to present a student‐perspective model of e‐textbook usage. By contextualizing TTF and UTAUT2 to e‐textbooks, the research fills a gap in the literature and provides guidance to researchers and practitioners. The goal of the research is to understand how students perceive their task of learning to fit with e‐textbook technology, and how that fit influences e‐textbook usage and expected performance in their classes. To achieve this goal, the research develops a model to test the relationship between perceived TTF of e‐textbooks and UTAUT2‐defined user characteristics that encourage adoption behaviors, thus facilitating student learning. The findings show that four factors impact a student's perceived TTF: substitution, habit, hedonic motivation, and facilitating conditions. Furthermore, perceived TTF positively correlates with students’ e‐textbook usage and expected performance in classes when using e‐textbooks. While price value exhibits a measurable effect on e‐textbook utilization, it is a minor factor.