Method for predicting onset risk of patellar-femoral joint pain syndrome

Abstract

The invention discloses a method for predicting the onset risk of patellar-femoral joint pain syndrome, and belongs to the technical field of disease prevention. The prediction is completed through acase control test. The method comprises the following steps: S1, incorporating 120 patients with patellar-femoral joint pain syndrome; S2, matching 120 healthy sports enthusiasts according to a ratioof 1: 1; S3, performing an isokinetic muscle strength test technology; S4, using a statistical method of conditional logistic regression to determine a strength index influencing the patellar-femoraljoint pain syndrome, and constructing a correlation equation; and S5, measuring knee extension, hip extension, hip flexion and hip adduction strength of susceptible people, substituting the strength into the correlation equation obtained in step S5, and calculating the onset risk of the patellar-femoral joint pain syndrome. According to the method for predicting the onset risk of the patellar-femoral joint pain syndrome, logistic regression capable of predicting the onset risk condition is used as the statistical method, the related equation is constructed, knee extension, hip extension, hip flexion and hip adduction force of susceptible people are measured and substituted into the equation, and the onset risk of the people can be calculated.

Description

Technical field[0001]The invention belongs to the technical field of disease prevention, and specifically is a method for predicting the risk of the onset of patellofemoral joint pain syndrome.Background technique[0002]The incidence of patellofemoral joint pain syndrome (PFPS) is high, especially among sports enthusiasts and other people, the incidence can reach 40%, and it is easy to relapse, affecting the quality of life. When the sports population has not yet developed the disease, accurate estimation of the risk of injury and disease, and preventive intervention for risk factors can effectively reduce the incidence of the disease.[0003]In the prior art, the statistical method of single factor analysis (t-test) is used to obtain the knee extensor strength (or quadriceps muscle strength) and hip extensor strength (or hip enlargement) compared with healthy people. The clinical phenomenon of decreased muscle strength) and hip abductor strength (or gluteus medius muscle strength). Ho...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, only through the statistical method of univariate analysis (t test), it can be concluded that the patient's knee extensor muscle strength (or quadriceps muscle strength), hip extensor muscle strength (or gluteus maxima, etc.) muscle strength), hip abductor muscle strength (or gluteus medius muscle strength) is a clinical phenomenon, but due to the limitation of statistical methods, it is impossible to draw the conclusion of the causal relationship between the two (that is, the injury caused by the decline in strength , or injury caused the decline in strength), and it is impossible to analyze the difference in the degree of impact of the above types of strength decline on the occurrence of injuries (that is, which strength decline is most likely to cause injuries)

For lower extremity muscles, knee extension / flexion, hip extension / flexion, hip adduction / hip abduction are considered to be three pairs of mutually antagonistic muscles, and the strength of each pair of antagonistic muscles can affect each other, such as excessive Active knee flexion strength may inhibit knee extensor muscle strength. Therefore, in order to establish the pathogenesis model of PFPS, in addition to including knee extensor, hip extensor, and hip abductor muscle strength, their respective antagonistic muscles also need to be included, but there are few existing studies Consider the antagonist