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Stroke is a causal factor that commonly caused physical impairments and activity limitations among patients to perform daily activities until at certain level stroke patients will experience disability. The aim of this study is to examine the relationship of each demographic and clinical factors that is believed to associate with physical functioning of patients those who experienced stroke. This present study also try to compare physical functioning of patients with associated factors and then examine the correlation between those factors with physical functioning. A total of 147 respondents that pass for cognitive screening test involved in this study. Barthel Index (ADL) was administered to the respondents after 6 weeks of stroke attack in order to measure their physical functioning status. Results found that there was a significant difference [F(3, 143) = 4.06; p < 0.01] between level of educations with physical functioning of patients. With respect to clinical factors also showed a significant difference (p < 0.01) was higher in physical functioning when stroke attack occurred at right hemisphere of brain. There was a significant difference (p < 0.01) in physical functioning with respect to belief of recovery. Furthermore, number of stroke attack also showed a significant difference [F(1, 145) = 11.19; [p < 0.01] in physical functioning of patients. Correlation test that was carried out found a positive significant correlation (r = 0.24; p < 0.01) between physical functioning with respect to the affected lesion side. In conclusion, demographic and clinical factors also played the roles to determine level of physical functioning among stroke patients and thus these factors should be considered in any studies that intended to enhance physical functioning of patients in future.

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RESUMEN

Background: The aim of this study was to address the ability of the recovery locus of control scale (RLOC) and post-traumatic stress symptoms (PTSS) to predict physical functioning among stroke patients. In addition, the best predictors within the subdomains of the RLOC and PTSS were also investigated. Methods: A total of 147 stroke patients aged 33–85 years who had intact cognitive functioning were involved in the study. The Recovery Locus of Control Scale (RLOC), the Impact of Event Scale- Revised (IES-R), and the Barthel Index (ADL) were administered to respondents six weeks after stroke. Results: The results showed that the RLOC and PTSS were significant predictors and were capable of predicting 31% of the physical functioning of stroke patients (adjusted R2 = 0.31; P < 0.001). Furthermore, with respect to clinical factors, the affected lesion side contributed to predicting 7% of the physical functioning (R2 = 0.07; P < 0.001). A hierarchical regression analysis found that the internal recovery locus of control (IRLOC) was a predictor capable of explaining 18% of the predicted physical functioning (adjusted R2 = 0.18; P < 0.001). Meanwhile, avoidance was the most influential significant predictor among PTSS, contributing to 24% of the predicting physical functioning (adjusted R2 = 0.24; P < 0.001). Conclusion: In conclusion, the RLOC and PTSS were capable of predicting physical functioning among stroke patients.

RESUMEN

BACKGROUND: Schizophrenia which is perhaps the most disabling and puzzling form of a mental disorder is often conceptualized as 'gila' (lunacy or madness) by the Malaysian society. The debilitating nature of the disorder and recurrent relapse of its psychotic episodes have often been misunderstood and lead to confusion among the family members, who play the role as primary caregivers. While expressed emotion (EE) has been widely studied in the Western world, it is not well understood in Malaysia. OBJECTIVES: This study aimed at investigating the predictive role of relatives' EE index and components as well as personality traits in relapse among schizophrenia patients in Kuala Lumpur and Klang Valley, Malaysia. METHODS: A total of 160 subjects consisting of 80 patients diagnosed with chronic schizophrenia and 80 relatives were recruited to participate in Phase 1 of the study. Only patient-participants were followed-up 6 months later for Phase 2 of the study in order to check for possible relapse. The Family Questionnaire (FQ) and the short scale Eysenck Personality Questionnaire-Revised (EPQ-R) were administered to measure relatives' EE and personality traits, respectively. Patients' were considered to relapse if they were readmitted into psychiatric wards 6 months post-hospital discharge. RESULTS: The findings revealed that the odds for patients to relapse were increased by 8 times when relatives demonstrated high-EE level. Relatives' critical comments (CC) turned out to be the strongest predictor with the odds to relapse increased by 12% when they demonstrated an increase in CC level. Relatives' personality traits particularly the extraversion trait also turned out to be the significant direct predictor to patients' relapse. Our results showed that a unit decrease in extraversion trait score predicted the odds for patients to relapse by 23%. DISCUSSIONS: Our findings supported the Western findings on the significant role of relatives' high-EE level particularly the CC scale on the course of schizophrenia. The novelty of the current finding was demonstrated in the significant role of relatives' extraversion trait that directly predicted patients' relapse. Results also indicated the feasibility of EE in predicting relapse among schizophrenia patients in Klang Valley, Malaysia.

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