Recent Trends in Sports

Traditional wrestling among the Poumai Nagas of Manipur represents an important component of indigenous sporting culture and serves as a significant expression of socio-cultural identity, spirituality, and community values. Beyond its function as a physical contest, wrestling is deeply embedded in the social and ritual life of the community and is closely associated with agricultural festivals, customary practices, and inter-village interactions. The present study aims to explore the socio-cultural and spiritual significance of traditional wrestling among the Poumai Nagas and to document its role in preserving indigenous knowledge and cultural heritage. The study employed an exploratory and ethnographic approach based on field observations, oral narratives, interviews with community elders, wrestlers, and local residents, supplemented by relevant secondary sources.

This study investigates the role of artificial intelligence (AI) as a co‑evaluator in physical education assessment, focusing on its reliability, validity, and potential to strengthen social support systems in higher education sport science. Drawing on recent scholarship that highlights both the promise and limitations of AI in educational contexts the research addresses a critical gap, while technology has been widely applied to individual performance monitoring, less attention has been given to its integration into socially embedded assessment frameworks.

This study was basically on the management of team work in a digital age for sports programme effectiveness in public senior secondary schools in Rivers State, Nigeria. A descriptive survey research design was adopted. The population comprised all 286 principals and 572 sports officials across the public senior secondary schools in the state. A sample size of 429 respondents was selected using a stratified random sampling technique. Data collection was executed using a structured, validated instrument titled Management of Teamwork in Digital Age Questionnaire (MTDAQ), which demonstrated a high reliability index of alpha = 0.84.

Judo is a dynamic martial art that involves throwing, grappling, and ground-fighting techniques, making safe falling skills an essential component of training. Among these skills, Ukemi, commonly known as falling techniques or breakfalls, plays a vital role in minimizing the risk of injuries during practice and competition. Beginner judo players are particularly vulnerable to injuries because they often lack proper body control, balance, coordination, and confidence while falling. As a result, improper falling can lead to injuries involving the head, neck, shoulders, wrists, elbows, hips, knees, and spine. Therefore, learning Ukemi at the initial stage of judo training is considered one of the most important aspects of athlete development.

This study looked at how a six-week training program affected the leg strength of university badminton players in India. The program was done with thirty badminton players from Central University of Punjab who were between 18 and 24 years old. These badminton players did a training program that had them exercise three times a week. The training program had two types of exercises: exercises where the players held a   position like wall sits and squat holds, and dynamic exercises where the players  moved, like jump squats and lunges.

Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology.