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Introduction: The return to sport after Anterior Cruciate Ligament Reconstruction (ACLR) is among the main issues encountered by rehabilitation medicine, injured athletes, and coaches. A main factor preventing safe return to sports is a biomechanical asymmetry between the limbs during reconstruction, which plays a significant role in the risk of re-injury. Accordingly, injury-related biomechanical changes were systematically examined in individuals with ACLR as performed functional tasks. Materials and Methods: Articles relevant to biomechanical asymmetries between (ACLR & uninjured) limbs in English were searched in the Google Scholar, Science Direct, PubMed MEDLINE, and Scopus databases without time limit until 2021, using the following keywords: “Anterior cruciate ligament reconstruction”, “ACL reconstruction”, “biomechanical”, “Kinetic”, “Kinematic”, and “Asymmetry”. Results: In total, 122 articles were found, of which 18 met the inclusion (PRISMA) criteria. Most of the kinetic and kinematic parameters were observed in the intervals of 3, 6, 9, 12, and 18 months after ACLR between the athletes’ vertical Ground Reaction Force (vGRF), peak hip abduction moment, peak knee valgus angle, peak knee flexion moment and angle, during the functional tasks; also changes were detected in the articles up to 28 months, although research in this area was limited. Conclusion: The present systematic review suggested that biomechanical variables may vary among the limbs of patients with ACLR, between 18 and over 28 months. Accordingly, an asymmetry between the limbs increases the risk of re-injury. Therefore, a better understanding of the biomechanics of the limbs in the time intervals after ACLR can provide a safer and sooner return to sports activities.

This research aims to provide a theoretical model to explain addiction to social network using media literacy and emotional intelligence as independent variables and social support as the mediator. The study population includes all students of Bojnord’s university in 2017-2018 academic year. It was determined based on three indices: a medium effect size of 0.30, a test power of 0.85, and an alpha of 0.05. A sample of 160 people was determined by G-Power software, and 178 questionnaires were completed. The sampling was conducted using available sampling method. To do so, the link of research questionnaires was offered to volunteer students. The main research instruments were: social support questionnaire, addiction to social network questionnaire, emotional intelligence questionnaire and multidimensional social support questionnaire. The exploratory nature of research data was analyzed by partial least squares method and PLS software. Results showed the reliability of the measurement model, the structural model and the overall research model (GOF=0.66). According to the results, all direct effects were significant. That is, social support(r=0.84, p <0.0001), media literacy (r=0.698, p <0.0001) and emotional intelligence (r=0.798, p <0.0001) were significantly correlated with addiction to virtual social network. Also, Sobel statistics and its significance level suggested the indirect effect of media literacy (p <0.024) and emotional intelligence (p <0.011) on addiction to social network through social support. Emotional impulse control, awareness of media content and processes, and a sense of belonging and relationship with other people in the real world predict addiction to virtual social networks. Hence, the social support of government and authentic sources can mediate the association between addiction to social network and emotional intelligence in university students and improve their media literacy.