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Background: Compared with other major global team sports such as football or basketball, ice hockey has received considerably less attention in sport-science research. However, the research focus on ice hockey performance is growing rapidly. Unfortunately, despite the growing interest in ice hockey, among the little research that has been conducted there are inconsistencies in terminology and methodology in the study of physiology and performance during games. The need for systematic and standardized reporting of study methodology is vital, as a lack of methodological detail or methodological inconsistencies make it impossible to replicate published studies, and alterations in the methodologies used can influence the measured demands imposed on players. Accordingly, this prohibits the ability of coaches to generate game-replicating training programs, decreasing the application of research findings to practice. In addition, a lack of methodological detail or methodological inconsistencies can result in incorrect conclusions being made from research. Purpose: In this invited commentary, we aim to increase awareness regarding the current standard of methodological reporting in ice hockey game-analysis research. In addition, we have developed a framework for the standardization of game analysis in ice hockey in order to allow for greater replication in future research and to increase the application of published findings to practice. Conclusions: We implore researchers in the field to consult the Ice Hockey Game Analysis Research Methodological Reporting Checklist in order to adopt a detailed reporting standard of methodologies in future work to help improve the applicability of research outcomes.

Despite the recognized benefits of physical activity (PA) for children and adolescents with disabilities (CAWD), collective information on this is lacking in Lithuania. The purpose of this study was to investigate the current “state of the nation” PA levels of CAWD, based on the 10 indicators from the Active Healthy Kids Global Alliance Global Matrix 4.0 methodology. Scientific articles, practical reports, and published theses related to the 10 indicators from the Global Matrix 4.0 on CAWD age 6–19 years were reviewed, and data were converted to grades from A to F. (A) Strengths, Weaknesses, Opportunities, and Threats analysis was carried out to interpret the grades by four experts. Data on organized sport participation (F), school (D), community & environment (D), and government (C) were available. Data on other indicators are largely missing yet are needed for policymakers and researchers to be aware of the current state of PA among CAWD.

This report aims to provide a better understanding of physical activity (PA) and related factors among Spanish children and adolescents living with disabilities. The 10 indicators used for the Global Matrix on Para Report Cards of children and adolescents living with disabilities were evaluated based on the best available data in Spain. An analysis of strengths, weaknesses, opportunities, and threats based on data provision was drafted by three experts and critically reviewed by the authorship team to provide a national perspective for each evaluated indicator. Government was the indicator with the highest grade (C+), followed by Sedentary Behaviors (C−), School (D), Overall PA (D−), and Community & Environment (F). The remaining indicators received an incomplete grade. There were low levels of PA in Spanish children and adolescents living with disabilities. Yet, opportunities to improve the current surveillance of PA among this population exist.

The purpose was to synthesize information gathered from the interpretation and conclusion sections of the Global Matrix of Para Report Cards on the physical activity of children and adolescents with disabilities. The synthesis was based on the strengths, weaknesses, opportunities, and threats framework. The procedure consisted of three stages: (a) the application of the International Classification of Functioning, Disability and Health as the theoretical framework; (b) identifying and aligning Global Matrix indicators and benchmarks with the International Classification of Functioning, Disability and Health components through a Delphi approach; and (c) using content analysis to identify themes from specific report cards. Outcomes reveal that further attention toward including children and adolescents with disabilities in fitness assessments is needed as well as adapted assessment methods. Program availability, equipment and facilities, and professional training emerged as strengths but need further development to overcome weaknesses. Paralympic inspiration was an opportunity, whereas extreme weather conditions presented potential threats to physical activity participation among children and adolescents with disabilities.

Purpose: To determine the test–retest reliability of the recently developed Hip Load metric, evaluate its construct validity, and assess the differences with Playerload during football-specific short-distance shuttle runs. Methods: Eleven amateur football players participated in 2 identical experimental sessions. Each session included 3 different shuttle runs that were performed at 2 pace-controlled running intensities. The runs consisted of only running, running combined with kicks, and running combined with jumps. Cumulative Playerload and Hip Loads of the preferred and nonpreferred kicking leg were collected for each shuttle run. Test–retest reliability was determined using intraclass correlations, coefficients of variation, and Bland–Altman analyses. To compare the load metrics with each other, they were normalized to their respective values obtained during a 54-m run at 9 km/h. Sensitivity of each load metric to running intensity, kicks, and jumps was assessed using separate linear mixed models. Results: Intraclass correlations were high for the Hip Loads of the preferred kicking leg (.91) and the nonpreferred kicking leg (.96) and moderate for the Playerload (.87). The effects (95% CIs) of intensity and kicks on the normalized Hip Load of the kicking leg (intensity: 0.95 to 1.50, kicks: 0.36 to 1.59) and nonkicking leg (intensity: 0.96 to 1.53, kicks: 0.06 to 1.34) were larger than on the normalized Playerload (intensity: 0.12 to 0.25, kicks: 0.22 to 0.53). Conclusions: The inclusion of Hip Load in training load quantification may help sport practitioners to better balance load and recovery.

Isotopic tracers can reveal insights into the temporal nature of metabolism and track the fate of ingested substrates. A common use of tracers is to assess aspects of human carbohydrate metabolism during exercise under various established models. The dilution model is used alongside intravenous infusion of tracers to assess carbohydrate appearance and disappearance rates in the circulation, which can be further delineated into exogenous and endogenous sources. The incorporation model can be used to estimate exogenous carbohydrate oxidation rates. Combining methods can provide insight into key factors regulating health and performance, such as muscle and liver glycogen utilization, and the underlying regulation of blood glucose homeostasis before, during, and after exercise. Obtaining accurate, quantifiable data from tracers, however, requires careful consideration of key methodological principles. These include appropriate standardization of pretrial diet, specific tracer choice, whether a background trial is necessary to correct expired breath CO₂ enrichments, and if so, what the appropriate background trial should consist of. Researchers must also consider the intensity and pattern of exercise, and the type, amount, and frequency of feeding (if any). The rationale for these considerations is discussed, along with an experimental design checklist and equation list which aims to assist researchers in performing high-quality research on carbohydrate metabolism during exercise using isotopic tracer methods.