WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
Browse
2 results
Search Results
Article Effects of an Adapted Dance Exercise Program on Trunk Control, Balance and Functional Mobility in Children and Adolescents with Cerebral Palsy: Randomized Controlled Study(Taylor & Francis inc, 2025) Yekdaneh, Asena; Arman, NilayAims: The study aimed to investigate whether an 8-week adapted dance exercise program (ADEP), delivered in addition to conventional physiotherapy, would improve trunk control, balance, functional mobility, and quality of life (QoL) in children and adolescents with cerebral palsy (CP) compared with conventional physiotherapy alone. Methods: Thirty participants with CP (Gross Motor Function Classification System Level I - II) were randomly assigned to the ADEP group (n = 15) or the control group (n = 15). Both groups received conventional physiotherapy, while the ADEP group additionally performed physiotherapist-choreographed dance exercises accompanied by music, twice a week for 8 weeks. Outcomes included the Trunk Control Measurement Scale (TCMS) for trunk control, the Pediatric Balance Scale (PBS) for balance, the Timed Up and Go (TUG) for functional mobility, and the Pediatric Outcomes Data Collection Instrument (PODCI) for QoL. Results: The ADEP group showed significantly greater improvements than the control group in TCMS-Total (Delta = 10.53 vs 3.50, p < .001), TCMS-selective motor control (Delta = 6.00 vs 1.42, p < .001), TCMS-dynamic sitting balance (Delta = 7.53 vs 2.28, p < .001), and PODCI-Global scores (Delta = 4.61 vs -1.71, p < .001). Both groups improved in PBS and TUG, but between-group differences were not significant. Effect sizes indicated large improvements in trunk control in favor of the ADEP group. Conclusions: An 8-week ADEP program, when combined with conventional physiotherapy, produced clinically meaningful gains in trunk control and QoL in children and adolescents with CP. These findings support the use of dance-based rehabilitation as a feasible and engaging adjunct to physiotherapy.Article Citation - WoS: 32Citation - Scopus: 31The Dramatic Increase in Anti-Vaccine Discourses During the Covid-19 Pandemic: a Social Network Analysis of Twitter(Taylor & Francis inc, 2022) Durmaz, Nihal; Hengirmen, EnginBackground/Aim The first case of COVID-19 in Turkey was officially recorded on March 11, 2020. Social media use increased worldwide, as well as in Turkey, during the pandemic, and conspiracy theories/fake news about medical complications of vaccines spread throughout the world. The aim of this study was to identify community interactions related to vaccines and to identify key influences/influencers before and after the pandemic using social network data from Twitter. Materials and methods Two datasets, including tweets about vaccinations before and after COVID-19 in Turkey, were collected. Social networks were created based on interactions (mentions) between Twitter users. Users and their influence were scored based on social network analysis and parameters that included in-degree and betweenness centrality. Results In the pre-COVID-19 network, media figures and authors who had anti-vaccine views were the most influential users. In the post-COVID-19 network, the Turkish minister of health, the was the most influential figure. The vaccine network was observed to be growing rapidly after COVID-19, and the physicians and authors who had opinions about mandatory vaccinations received a great deal of reaction. One-way communication between influencers and other users in the network was determined. Conclusions This study shows the effectiveness and usefulness of large social media data for understanding public opinion on public health and vaccination in Turkey. The current study was completed before the implementation of the COVID-19 vaccine in Turkey. We anticipated that social network analysis would help reduce the "infodemic" before administering the vaccine and would also help public health workers act more proactively in this regard.