Weightlifting injuries in master athletes

Data collection: A total of 976 Masters weightlifters from Australia,
Canada, Europe, and the USA, ages 35 to 88 (51.1% female), completed an
online survey in June 2021 that included questions on weightlifting
injuries, chronic diseases, sport history, and training
practices.    Definition of injuries: Injuries
were defined in relation to participation to weightlifting, namely whether
training restriction occurred due to acute injuries sustained during
weightlifting. The correspoding srurvey question
was “Have you ever had training restrictions due to acute
injuries sustained during or while performing weightlifting?” 
  Purpose of the data collection: To quantify acute injuries
sustained during weightlifting that result in training restrictions and
identify potential risk factors or preventative factors in Master
athletes.  To evaluate potentially complex interactions of age,
sex, health-related, and training-related predictors of injuries with
machine learning algorithms. Ensembles of machine learning
algorithms (support vector machines, generalized boosted methods,
 random forests, one-layer neural network, and naïve Bayesian
methods) were used for classification and prediction and compared to
logistic regression models.