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).

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.

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.