Association Between Physical Activity Level ，Overall Muscle Strength and Pelvic Floor Muscle Function in Women.

Overview

In this study, it is assumed that grip strength is associated with pelvic floor muscle strength. And the outcome of pelvic floor function can be predicted by referring to the status of pelvic floor muscle strength through the value of grip strength, which is labor-saving, time-saving and more convenient for evaluating pelvic floor muscle function. Moderate physical activity and increase the overall strength can activate the potential mechanism of pelvic floor muscle contraction at the same time may be a "core muscles" overall effect, that core muscles mainly includes transverse abdominal muscle, pelvic floor muscles and the muscles around the back, these muscles in the body movement to spontaneous collaboration contract pelvic floor muscles, enhancing pelvic floor muscle function, thus reducing the incidence of pelvic floor dysfunction.

This study is a cross-sectional observational study, planned to enroll 942 participants from Gynecology Outpatient Clinic. Uniformly trained physicians as investigators to collect indicators from questionnaires and physical examinations. Questionnaires may contain general information which include the patient's age, height, body weight before pregnancy and childbirth, weight gain during pregnancy, gestational age, pregnancy time, production time, high palace, delivery mode, neonatal birth weight, body length, blood sugar, blood fat, whether or not to use during pregnancy, childbirth, labor, perineal laceration, forceps midwifery, episiotomy and epidural data, pelvic floor cognition degree, physical activity levels, pelvic floor dysfunction score, pelvic floor functional impact score and sexual function score (including the prenatal and postnatal participants). Physical examinations will be performed without the results of the questionnaire, including stress tests, pelvic floor POP-Q staging, pelvic floor muscle strength by palpation, vaginal relaxation degree, grip strength value, rectus abdominis separation, waist circumference, waist-hip ratio, etc. Through univariate analysis of the general data of the patients, the related factors of female PFD were obtained, and the independent influencing factors of PFD were found by binary Logistic regression analysis (the dependent variable in this study was a dichotomous variable). The ROC curve was used to evaluate the predictive value of patients' overall strength level, physical activity level, body shape and other indicators on PFD outcome.