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dc.contributor.authorKarartı, Caner
dc.contributor.authorBasat, Hakki Çağdaş
dc.contributor.authorÖzsoy, İsmail
dc.contributor.authorÖzyurt, Fatih
dc.contributor.authorÖzsoy, Gülşah
dc.contributor.authorKodak, Muhammed Ihsan
dc.contributor.authorÖzüdoğru, Anıl
dc.contributor.authorUçar, İlyas
dc.date.accessioned2023-04-18T13:27:32Z
dc.date.available2023-04-18T13:27:32Z
dc.date.issued2022en_US
dc.identifier.citationKarartı, C., Basat, H. Ç., Özsoy, İ., Özyurt, F., Özsoy, G., Kodak, M. İ., ... & Uçar, İ. (2023). Biopsychosocial Approach in Identifying Risk Factors of Kinesiophobia in Persons with Subacromial Pain Syndrome and Developing a Clinical Prediction Tool. Indian Journal of Orthopaedics, 57(1), 124-136.en_US
dc.identifier.issn0019-5413
dc.identifier.issn1998-3727
dc.identifier.urihttps://doi.org/10.1007/s43465-022-00781-7
dc.identifier.urihttps://hdl.handle.net/20.500.12513/5050
dc.description.abstractIntroduction Although the negative effects of kinesiophobia on functional status in subacromial pain syndrome (SAPS) patients are clearly demonstrated, no study examines the risk factors of kinesiophobia in individuals with SAPS from a biopsychosocial perspective. The present study aims to determine the risk factors of kinesiophobia in individuals with SAPS using a biopsychosocial approach. This study also aims to explore the compounding effects of multiple associative risk factors by developing a clinical prediction tool to identify SAPS patients at higher risk for kinesiophobia. Materials and methods This cross-sectional study included 549 patients who were diagnosed with SAPS. The Tampa-Scale of Kinesiophobia (TSK) was used to assess kinesiophobia. Visual analog scale (VAS), The Shoulder Pain and Disability Index (SPADI), Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire, the presence of metabolic syndrome, using any non-steroidal anti-inflammatory drugs, Pain Catastrophizing Scale (PCS), Illness Perception Questionnaire-revised (IPQ-R), Hospital Anxiety and Depression Scale (HADS), behavioral pattern of the patient, sociodemographic characteristics, and treatment expectancy were outcome measures. Results Thirteen significant risk factors of having kinesiophobia were: VAS(at rest) (>= 5.2), VAS(during activity) (>= 7.1), DASH (>= 72.1), presence of metabolic syndrome, PCShelplessness (>= 16.1), IPQ-R-personal control (<= 17.1), IPQ-R-treatment control (<= 16.3), HADS(depression) (>= 7.9), avoidance behavior type, being female, educational level (<= high school), average hours of sleep (<= 6.8), and treatment expectancy (<= 6.6). The presence of seven or more risk factors increased the probability of having high level of kinesiophobia from 34.3 to 51%. Conclusions It seems necessary to address these factors, increase awareness of health practitioners and individuals.en_US
dc.language.isoengen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.isversionof10.1007/s43465-022-00781-7en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSubacromial pain syndromeen_US
dc.subjectShoulderen_US
dc.subjectPainful shoulderen_US
dc.subjectBiopsychosocial modelsen_US
dc.titleBiopsychosocial Approach in Identifying Risk Factors of Kinesiophobia in Persons with Subacromial Pain Syndrome and Developing a Clinical Prediction Toolen_US
dc.typearticleen_US
dc.relation.journalIndıan Journal Of Orthopaedıcsen_US
dc.contributor.departmentTıp Fakültesien_US
dc.contributor.authorIDCaner Karartı / 0000-0002-4655-0986en_US
dc.contributor.authorIDHakkı Çağdaş Basat / 0000-0003-3301-2529en_US
dc.identifier.volume57en_US
dc.identifier.issue1en_US
dc.identifier.startpage124en_US
dc.identifier.endpage136en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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