Determine the Occurrence of Latent Myofascial Trigger Points Through Binary Logistic Regression Model in Sportsmen

Abstract

This study aimed to ascertain the prevalence of latent myofascial trigger points (L-MTrPs) among male athletes. Ninety participants were randomly included in the study. The presence of L-MTrPs was identified based on Simon’s criteria, leading to the categorization of participants into two groups: L-MTrPs (n=45) and non-myofascial trigger points (N-MTrPs) (n=45). Pain pressure thresholds (PPT) of muscles were quantified using a pressure algometer, while force production was measured with HUMAC NORM isokinetic. The range of motion (ROM) for knee flexors and extensors was determined using Kinovea software. These parameters were treated as independent variables, whereas L-MTrPs and N-TrPs were considered dependent variables. Binary Logistic Regression (Enter Method) was employed for data analysis. Model fitness was evaluated through standard error computation, Wald’s χ2, and odds ratios with a 95% confidence interval. Model adequacy was assessed via the likelihood ratio, Cox & Snell (R2), Nagelkerke (R2), and Hosmer and Lemeshow tests. The results effectively predicted L-MTrPs and N-MTrPs, revealing that force production, PPT, and ROM were the most significant predictive variables for L-MTrPs. In conclusion, reduced force production, lower PPT, and restricted ROM were indicative of L-MTrPs. Consequently, regular evaluation of muscular strength, PPT, and ROM are recommended for athletes to prevent the development of L-MTrPs.