Epidemiology of Campus Football Injuries in Ningxia, China: Occurrence, Causes, and Management

A prospective epidemiologic study of injuries and illnesses in the football matches of the 14th National Student Games of China

The aim of this study is to determine the incidence and characteristics of football player injuries and illnesses during the 14th National Student Games of China. The results indicate that 32 illnesses were reported, with 17 (53%) involving the gastrointestinal system, primarily caused by environmental factors (24, 69%). The illness incidence rate was 4.3 cases per 100 players or 10.2 cases per 1,000 player-days. Regarding injuries, 122 cases were reported, yielding an overall injury incidence rate was 38.9 per 1,000 game hours, or 1.14 per game. Most injuries resulted from collisions with other players, occurring predominantly 15 minutes before the end of the first half, and 30 minutes before the end of the game. Most of the injuries were in the ankle, thigh, knee joint, and groin. In conclusion, the injury incidence of football players in the 14th National Student Games of China is high, occurring from a variety of mechanisms. Physical contact should be emphasized during training, core strength, and stability training should be enhanced alongside comprehensive injury management and prevention strategies.

Chinese physical fitness standard for campus football players: A pilot study of 765 children aged 9 to 11

Objectives: In 2022, 55 million Chinese children participate in campus football; however, there is no physical fitness standard, making it a priority task to enhance the current national program. This study aimed to explore a pilot method for the development of a reliable physical fitness standard. Methods: This study examined 765 male football players aged 9 to 11 in 2020 and 2022. The anthropometric and physical fitness assessments were conducted in accordance with the Chinese Football Association's field manuel. Physical fitness tests include sit and reach test, t test, 30 m run test, and vertical jump test. Physical fitness standard was modeled using the generalized additive models for location, scale, and shape (GAMLSS). Data were fitted with appropriate GAMLSS distributions and smoothing term. P-splines were applied to smooth the model's parameters using the default local maximum likelihood method and link functions. Following diagnostics of fitted models, age-specific centile estimations were computed for physical fitness tests. In addition, players in each age group were categorized according to their body mass index as normal weight or overweight/obese. Welch's t-test was utilized to compare the group differences in physical fitness testing. The significance level was chosen at p < 0.05. Results: Sit and reach test, t test, 30 m run test, and vertical jump test data were fitted with original Sinh-Arcsinh, Box-Cox power exponential, Box-Cox power exponential, and Box-Cox Cole and Green, respectively. Physical fitness standard for each age group is presented as tabulated centiles (1p, 3p, 5p, 15p, 25p, 50p, 75p, 85p, 95p, 97p, 99p). Overweight/obese campus football players did significantly worse (p < 0.05) on the t test, 30 m run test, and vertical jump test than their normal-weight peers of the same age. Conclusion: This study developed the first physical fitness standard for 9 to 11-year-old campus football players in China. We made three recommendations to Chinese policymakers on sample size, data management, and field procedure for the creation of a national physical fitness standard.