Assessment Of Sleep Disorder Pattern Of Patients With Parkinson Disease Attending Neurology Referral Clinic In Tikur Anbessa Specialized And Zewditu Memorial Hospitals Addis Ababa Ethiopia
Background: Parkinson’s disease (PD) is progressive neurodegenerative disorder characterizedrnby abnormal motor symptoms such as bradykinesia, tremor, rigidity, and postural instability.rnHowever, the nonmotor symptoms (NMS) of PD, including cognitive impairment, depression,rnpsychosis,& sleep disorders are also important and could have greater significance for disability,rndecreased quality of life, and reduced lifespan of the patients. Sleep-related problems specific tornPD may occur early and even predate the diagnosis of the disease but are generally morernfrequent and more severe in patients with advanced PD. Little is known about sleep disorderrnpattern in people with Parkinson’s disease (PD) in Ethiopia and Africa.rnObjective: To assess the prevalence of sleep disorder pattern and their associated predictors inrnPD patients in Tikur Anbessa Specialized Hospital and Zewditu Memorial Hospital, AddisrnAbaba, Ethiopia.rnMethods: A cross-sectional follow up study was used to collect data on all 155 studyrnrespondents who visited the clinic over the four months of the study period. Data was collectedrnusing tool (standardized questionnaire) by trained neurology nurses and neurology residents.rnAll the respondents were identified using a selection a criterion satisfying the required ethicalrnclearance procedure was used including securing verbal consent before data collection. Thenrncollected data was cleaned and analyzed using SPSS version 20 to determine thernmagnitude/prevalence of sleep disorder and regression with p-value to determine the associatedrnfactors that explained the dependent variable.rnIncluded: All PD patients on follow up or diagnosed during a study period fulfilling the UKrnBrain Bank Criteria for idiopathic PD. Exclusion criteria: included the following: PD Patientsrnwith cognitive impairment who was unable to respond for the PDSS-2, PD Patients who didn’trnhave willingness to give informed consent and PD patients out of the study period.The datarnincluded 155 PD patients. We used the PDSS-2 to collect sleep disorder Symptoms. Data werernentered and analyzed by a computer software SPSS version 20. First bivariate analysis was donernto identify those factors that determine the dependent variable then multivariate analysis andrnChi-Squares were used to determine those factors that determine the their possible associatedrnpredicting factors. P values