Bojan Leskošek

One of many challenges to open science is anonymization of personal data so that it may be shared. This paper presents a case study of the anonymization of a dataset containing cardio-respiratory fitness and commuting patterns for Slovenian school children. It evaluates three different anonymization tools, ARX, SDV, and SynDiffix. The fitness study was selected because its small size (N=713) and generally low statistical significance make it particularly challenging for data anonymization. Unlike most prior anonymization tool evaluations, this paper examines whether the scientific conclusions of the original study would have been supported by the anonymized datasets. It also considers the burden imposed on researchers using the tools both for data generation and data analysis.

Background: Physical education teachers (PETs) play a vital role in fostering students’ physical literacy (PL). To leverage fitness monitoring as an efficient educational tool for students’ holistic development and lifelong physical activity, PETs must be proficient and competent in its implementation. This study aimed to create an instrument to evaluate teachers’ competencies essential for promoting PL through fitness monitoring. Methods: A Delphi study with 30 experts from 26 countries established content validity. Pilot testing on 339 PETs across Europe assessed psychometric characteristics using exploratory factor analysis and Cronbach’s alpha. Results: The Delphi study identified 13 core competencies, but construct validation revealed seven dimensions: (1) supporting cognitive learning, (2) encouraging positive feedback and learning climate, (3) understanding of fitness concept, (4) emotional support, (5) planning, (6) understanding of PL concept, (7) explaining learning objectives. Thus, the final instrument, the FitBack PET competency questionnaire, was designed with 27 items covering 7 competencies. The instrument exhibited high reliability, with Cronbach’s alpha exceeding 0.7 for six factors and the intraclass correlation coefficient of 0.94 for test–retest. Conclusions: The instrument’s development was successful, demonstrating high validity and reliability. The final version is publicly available, providing a practical tool for teacher training programs.

Background: Physical education teacher (PET) competences are crucial for developing students’ physical literacy. To support holistic student growth and lifelong physical activity, teachers need skills like using fitness monitoring as an educational tool. This study aimed to create an instrument to evaluate teachers’ competencies essential for promoting physical literacy through fitness monitoring.; Methods: A Delphi study with 30 experts from 26 countries established content validity. Pilot testing on 339 PETs across Europe assessed psychometric characteristics using exploratory factor analysis and Cronbach’s Alpha.; Results: The Delphi study identified 13 core competencies, but construct validation revealed 7 dimensions: 1) Supporting cognitive learning, 2) Encouraging positive feedback and learning climate, 3) Understanding of fitness concept, 4) Emotional support, 5) Planning, 6) Understanding of physical literacy concept, 7) Explaining learning objectives. Thus, the final instrument, FitBack PET competency questionnaire, was designed with 27 items covering 7 competencies. The instrument exhibited high reliability, with Cronbach’s alpha exceeding 0.7 for 6 factors and the intraclass correlation coefficient of 0.94 for test-retest.; Conclusions: The instrument’s development was successful, demonstrating high validity and reliability. The final version is publicly available, providing a practical tool for teacher training programs.

One of many challenges to open science is anonymization of personal data so that it may be shared. This paper presents a case study of the anonymization of a dataset containing cardio-respiratory fitness and commuting patterns for Slovenian school children. It evaluates three different anonymization tools, ARX, SDV, and SynDiffix. The fitness study was selected because its small size (N=713) and generally low statistical significance make it particularly challenging for data anonymization. Unlike most prior anonymization tool evaluations, this paper examines whether the scientific conclusions of the original study would have been supported by the anonymized datasets. It also considers the burden imposed on researchers using the tools both for data generation and data analysis.

This retrospective study aimed to estimate the differences between selected indicators of physical fitness and body composition in young tennis players during the COVID-19 pandemic (2020 and 2021) and their values as predicted using the pre-pandemic trend (2015–2019). Data were collected from selected boys (mean ± SD; 13.2 ± 1.7 years) and girls (13.1 ± 1.9 years) during annual tests. Data were analyzed with linear mixed-effects models for males and females, separately, to predict body composition and physical fitness test scores, adjusting for age and pre-pandemic trends in the data. Compared with expected values, body fat mass increased in boys (2020: 0.68; 0.44–0.92, 2021: 1.08; 0.72–1.43), whereas muscle mass decreased (2020: −0.22; −0.34–−0.10, 2021: −0.28; −0.46–−0.10) throughout the pandemic. Interestingly, boys’ age-adjusted squat jump test scores improved relative to their expected scores during COVID-19 (2020: 0.19; 0.00–0.38, 2021: 0.35; 0.06–0.63). No other differences between predicted and measured values were noted across the observation period. The results of this study suggest that the sustained reduction in sports activity caused by the pandemic may have negatively affected the body composition of athletes; however, this did not affect selected performance indicators.

We evaluated accuracy of urinary liver type fatty acid-binding protein (L-FABP) for prediction of early allograft function and compared it to neutrophil gelatinase associated lipocalin (NGAL), diuresis and urinary creatinine excretion rate (UCr).

The proportion of overweight children and adults has been growing rapidly in the last few years in many European and other countries. Certain consequences of overweight are already manifested in youth; in adulthood they are one of the main causes of death and several diseases. The study examined the proportion of overweight and obese Slovenian girls aged 7 to 18 with the use of an annually repeated cross-sectional study. The study lasted from 1991 to 2006 and was based on the body mass index according to IOTF norms. The results show that in this period the proportion of overweight girls increased by almost 30% (from 13.5% to 18.8%), whereas the proportion of obese girls doubled (from 2.3% to 4.6%). The prevalence of overweight and obesity is highest in childhood and early adolescence where it is around two to three times higher than at the age of 18.