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العنوان
Core stability measures as predictors of hamstring strain in soccer players /
الناشر
Khaled Mohamed Nabil Ali Afifi ,
المؤلف
Khaled Mohamed Nabil Ali Afifi
هيئة الاعداد
باحث / Khaled Mohamed Nabil Ali Afifi
مشرف / Alaa Eldin Abdelhakim Balbaa
مشرف / Emad Samuel Boles Saweeres
مناقش / Muhammad Elmasry
تاريخ النشر
2019
عدد الصفحات
117 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
العلاج الطبيعي والرياضة والعلاج وإعادة التأهيل
تاريخ الإجازة
27/10/2019
مكان الإجازة
جامعة القاهرة - علاج طبيعي - Musculoskeletal Disorders
الفهرس
Only 14 pages are availabe for public view

from 172

from 172

Abstract

Background: Hamstrings strain is common injury in soccer players. Although there has been great understanding of this injury over the last three decades the injury and recurrence rate are still high. Core stability had been recently proposed to be a risk factor for hamstring strain injury nevertheless, without a clear scientific evidence to support this assumption. Objective: the objective of this study was to investigate the correlation between core stability and hamstring muscle strain. Methods: Professional football clubs had been contacted to take part in the study. Forty-two healthy, professional soccer players who were train and participate in games regularly had been recruited to take part in the study. Core stability was prospectively assessed before the beginning of football season. concentric strength of the trunk muscles flexors and extensors had been measured with isokinetic machine at 60{u02DA} and 120{u02DA} degree/seconds respectively in standing position. Back muscles endurance was measured using the four endurance tests; flexors, extensors, right and left side bridge. Trunk repositioning error was chosen to examine the trunk motor control. After taking all measures the players were followed up for one year for the development of hamstring strain. After one year the players were divided into injured (players who had hamstring strain) and non- injured Results: Unpaired t-test showed no significant difference between the groups regarding age, weight, height and BMI (p>0.05). A binomial logistic regression model was used to predict the probability of player to be injured or non-injured