Skeletal age assessed by Greulich-Pyle: Intra-observer and inter-observer agreement among male pubertal tennis players.

The assessment of biological maturation is a central topic in pediatric exercise sciences. Skeletal age (SA) reflects changes in each bone of the hand and wrist from initial ossification to the adult state. This study examined intra-observer and inter-examiner agreement is Greulich-Pyle (GP) assessments of SA in 97 male tennis players 8.

Effects of Exergaming on Physical Fitness of Youth with Overweight and Obesity: A Systematic Review with Meta-Analysis.

Due to the exponential growth in technology, exergames emerged as a potential tool to foster physical activity (PA) levels. This study provides an overall view of the literature on the effects of exergaming on physical fitness components among overweight and obese children and adolescents. A systematic review and meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was performed in the PubMed, Web of Science, and Scopus databases.

Variation in the diet composition and weight-length relationship of small characids in urbanized and forested streams.

The diet of indicator fish species plays a crucial role in assessing ecosystem health. This study evaluated streams with and without urban influences, focusing on abiotic parameters and the trophic ecology of Psalidodon fasciatus and Piabina argentea. Forested streams exhibited higher redox potential, dissolved oxygen, transparency, and depth, whereas urban streams had higher temperatures, greater widths, and increased levels of total dissolved solids, conductivity, total coliforms, and thermotolerant coliforms.

The effect of frailty on the relationship between cognition and depression symptoms in older people. A differential analysis by European regions.

This study aimed to investigate the moderating effect of frailty on the relationship between cognition and symptoms of depression in individuals aged ≥65 and to explore differences between four European regions (West, North, South, and East). A cross-sectional analysis was conducted with 29,094 participants (16,365 women) from 27 countries, aged ≥65 years, who responded to wave 8 of the SHARE project. The variables analysed were depression (12-item EURO-D scale), frailty, and a general cognition index (CogId).

Predicting noncontact injuries of professional football players using machine learning.

Noncontact injuries are prevalent among professional football players. Yet, most research on this topic is retrospective, focusing solely on statistical correlations between Global Positioning System (GPS) metrics and injury occurrence, overlooking the multifactorial nature of injuries. This study introduces an automated injury identification and prediction approach using machine learning, leveraging GPS data and player-specific parameters.