Biopsychosocial Approach in Identifying Risk Factors of Kinesiophobia in Persons with Subacromial Pain Syndrome and Developing a Clinical Prediction Tool

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dc.contributor.authorKararti, Caner
dc.contributor.authorBasat, Hakki Cagdas
dc.contributor.authorOzsoy, Ismail
dc.contributor.authorOzyurt, Fatih
dc.contributor.authorOzsoy, Gulsah
dc.contributor.authorKodak, Muhammed Ihsan
dc.contributor.authorOzudogru, Anil
dc.date.accessioned2024-03-13T10:30:54Z
dc.date.available2024-03-13T10:30:54Z
dc.date.issued2023
dc.departmentİstanbul Beykent Üniversitesien_US
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.identifier.doi10.1007/s43465-022-00781-7
dc.identifier.endpage136en_US
dc.identifier.issn0019-5413
dc.identifier.issn1998-3727
dc.identifier.issue1en_US
dc.identifier.pmid36660479en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage124en_US
dc.identifier.urihttps://doi.org/10.1007/s43465-022-00781-7
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3600
dc.identifier.volume57en_US
dc.identifier.wosWOS:000888718000001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofIndian Journal Of Orthopaedicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_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

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