Programa de pós-graduação em Ciências da Reabilitação
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Master Thesis Fatores preditores da incapacidade de pacientes pós-acidente vascular cerebral: um estudo transversal baseado na classificação internacional de funcionalidade, incapacidade e saúde(Universidade Federal do Rio Grande do Norte, 2024-10-18) Santos, Raweny Thayna Gomes dos; Fernandes, Aline Braga Galvão Silveira; https://orcid.org/0000-0002-7976-8009; http://lattes.cnpq.br/9406431536920693; http://lattes.cnpq.br/6126246188956527; Cacho, Enio Walker Azevedo; Castro, Shamyr Sulyvan deIntroduction: Stroke causes global complications that impact the lives of survivors. Therefore, it is necessary to evaluate these patients more thoroughly, considering all components and the perspective of the International Classification of Functioning (ICF). Objective: To evaluate the predictors of disability in post-stroke patients considering the ICF model. Material and methods: This is a cross-sectional study that evaluated 60 post-stroke patients of both sexes aged 18 years and older. Patients were evaluated using specific forms and questionnaires on various areas of their lives that are related to functioning and disability, namely: WHODAS, Motricity Index, Hospital Anxiety and Depression Scale, Pittsgurgh Sleep Quality, International Consultation on Incontinence Questionnaire and International Physical Activity Questionnaire. Results: The study included 60 individuals with a mean age of 68,0 ± 12,0 years. The majority are male (56,7%), unemployed (81,7%) and with ischemic stroke (66,7%). In the multiple linear regression, in general, it was seen that the level of physical activity, the presence of depressive symptoms, the use of orthoses, the decrease in limb strength, the amount of medication used, poor sleep quality, the presence of urinary incontinence and the habit of not leaving the house were predictive factors of general disability and its specific domains. Conclusion: It is concluded that the analysis of disability in post-stroke patients, based on the ICF biopsychosocial model, allowed the identification of important predictors, such as low level of physical activity, depressive symptoms, use of orthosis, reduced limb strength, greater use of medications, poor sleep quality, urinary incontinence and the habit of not leaving the house.