Determining The Prevalence of Sleep Disorder and Its Predictors Among Elderly Residents of Nursing Homes of Ahvaz City in 2017 (original) (raw)

Introduction: Sleep quality is an important indicator in many geriatric diseases. As people age, changes happen in the quality and structure of sleep, which lead to sleep disorders and complications. The aim of this study was to determine the predictors of sleep disorder in elderly people living in senior care homes. Methods: This Cross sectional study was carried out on a sample of 130 elderly residents of senior care homes in the Ahvaz city. Samples were selected by available sampling method and according to inclusion and exclusion criteria. Pittsburgh's sleep quality questionnaire, general health questionnaire (12 questions form), knee pain questionnaire, social support questionnaire, and demographic characteristic checklist were used to collect the data. Data were analyzed using stepwise linear regression analysis through SPSS22 software. Results: In this study, 33/8% (n=44) of participants were men and 66/2% (n=86) were women. The mean (±SD) age of subjects was 68±7/8 years. In total, 13.8% of the samples had low level of sleep disorder, 81.5% had moderate level of sleep disorder and 4.6% had severe level of sleep disorder. Based on the fitted regression model (P < 0.001, F = 7.24) it was found that, multiple disease (β = 0.20), perceived social support (β =-0.26), joint stiffness (β=0.25) and knee pain (β = 0.24) were the effective and significant predictors of sleep disorder in the elderly people, and explained 18.9% of the changes in this variable. Conclusion: The results of the study showed that 86.1% of the elderly had sleep disorder. Perceived social support, joint stiffness and knee pain, and multiple diseases were suffering from elderly sleep disorder determinants. According to the Perceived social support, joint stiffness, knee pain, and multiple diseases were predictors of sleep disorder in the elderly people.