This article explores the role of physical educators in mitigating the health risks associated with increasing screen time among adolescents. With the rise of technology, young people are spending more time engaged with digital devices, leading to a range of health issues. Physical educators can play a vital role in promoting healthy habits, physical activity, and social and emotional development to mitigate the negative effects of screen time. The paper provides an overview of the impacts of excessive screen time on physical and mental health. Physical health problems such as obesity, cardiovascular disease, and other health issues, as well as mental health issues such as stress, anxiety, and depression, are associated with excessive screen time. The paper highlights the critical role of physical educators in promoting a balanced lifestyle by incorporating technology-free activities and encouraging physical activity to promote overall health. The paper also discusses the various roles of physical educators, including providing personalized physical activity plans, promoting mindfulness, educating on nutrition and healthy habits, and advocating for physical education. The paper emphasizes the need for physical educators to collaborate with other health professionals, such as school nurses and counsellors, to develop comprehensive health and wellness programs for students. The paper concludes with prospects for physical educators to address the issue of excessive screen time among adolescents. Physical educators can integrate technology into physical education programs and advocate for increased physical education and reduced screen time in schools. They can also work to promote access to technology and provide resources for students who may not have access to digital devices at home.

Purpose: The study's objective was to compare the chosen Physiological variables indicating Obesity Status among Physical Education Students and Humanities Students. Methodology: For the purpose of the study, 21 participants (8 Physical Education Students and 13 Humanities Students) of age 20-24 years were chosen from Department of Physical Education and Sports and Department of Sociology of Central University of Haryana, Mahendargarh. To achieve the study's goals, simple random sampling technique was used, Body Composition Analyzer a leading Physiological assessment tool was used for measuring parameters named Body Mass Index (BMI), Body Fat Mass (BFM) & Percent Body Fat (PBF), of students of Physical Education and Humanities. As a statistical method, the independent sample "T" test was used. Findings: A 0.05 alpha level was chosen. Because the t value was insignificant (p>0.05), the statistical analysis of the results and comparison of the two groups revealed no statistically significant difference in mean Body Fat Mass (BFM), Percent Body Fat (PBF), and Body Mass Index (BMI). The outcome demonstrated that the similarity between these parameters was either due to similar Diet provided by the University to both the groups in the University Hostel Mess or the daily long-distance walking done by the Physical Education as well as the Humanities students from the Hostels to their respective classes.

Purpose: Kinanthropometry, the scientific measurement of human body size, shape, proportion, and composition, plays a critical role in understanding athletic performance. This narrative review aims to explore the current literature on kinanthropometric predictors of event-specific performance in track and field athletes. The review focuses on identifying key physical attributes contributing to success in different events, highlighting the importance of tailored training and talent identification strategies. Methods: A structured literature search was conducted across databases such as PubMed, Scopus, and Web of Science using combinations of keywords: “kinanthropometry,” “track and field,” “event-specific performance,” “bodycomposition,” “limb girths,” and “anthropometric predictors.” Approximately 45 peer-reviewed studies were included that investigated the relationship between kinanthropometric variables and performance in specific track and field events across age groups, genders, and competitive levels. Study quality was assessed using PRISMA guidelines and the Newcastle-Ottawa Scale. Publication bias was evaluated by examining funnel plots and calculating Egger’s test where applicable. Results: The review identified three primary kinanthropometric domains relevant to track and field performance: body composition (body mass index, body fat percentage, lean body mass), skeletal structure (height, limb lengths), and limb girths. Throwing events consistently favored athletes with higher body mass, greater lean mass, and larger upper limb girths. Distance running events showed stronger correlations with lower body fat percentages and longer limb lengths. Sprinting and jumping events were significantly predicted by both lower and upper limb girths, reflecting the importance of muscle cross-sectional area and explosive strength. Despite these findings, research heterogeneity and inconsistent measurement protocols limit the comparability of results across studies. Conclusions: This narrative review highlights that event-specific kinanthropometric characteristics are essential for optimizing track and field performance. The findings have practical implications for athlete selection, training design, and performance monitoring. There is a pressing need for standardized measurement protocols, larger and more diverse sample sizes, and comprehensive multivariate analyses. Future research should explore under-represented events and populations, integrating kinanthropometric profiling into athlete development and talent identification programs.