Aa Abbasi, Hr Bahrami, B Beygi, E Musa Farkhani, V Vakili, F Rezaee Talab , R Eftekhari Gol , M Talebi,
Volume 15, Issue 2 (Vol.15, No.2 2019)
Abstract
Background and Objectives: Sleep disorders include problems involving the quality, timing and amount of sleep, which cause decreased functioning and discomfort during the daytime. Considering the importance of sleep in health and quality of life and the probability of the related disorders in the elderly, this study was conducted to investigate sleep disorders and their risk factors in an elderly population covered by Mashhad University of Medical Sciences.
Methods: We conducted one of the largest population-based cross-sectional studies in an elderly population covered by Mashhad University of Medical Sciences in 2016. In this study, a total 8496 elderly people aged 60-90 years old with sleep disorders were compared with 35041 elderly subjects without complaints. Data were extracted from the Sina Electronic Health Record System. Bivariate and multivariate logistic regression analysis were carried out using the STATA ® version 14 to determine associations between independent variables and sleep disorders.
Results: In multivariate analysis, male gender (AOR=0.58; 95% CI: 0.55-0.61), being married (AOR=0.88; 95% CI: 0.83-0.93), overweight and lightweight compared to normal weight (AOR=1.27; 95% CI: 1.21-1.34 and AOR=1.20; 95% CI: 1.04-1.38, respectively), smoking (AOR=2.22; 95% C.I: 2.05-2.40), high blood pressure (AOR=1.44; 95% C.I: 1.37-1.52), diabetes (AOR= 1.49; 95% C.I: 1.40-1.58) and depression (AOR=3.05; 95% C.I: 2.74-3.38) variable remained in the final model after adjusting for confounders.
Conclusion: In this study, gender, marital status, body mass index, smoking, blood pressure, diabetes and depression were the main determinants of sleep disorders. It is necessary to identify the risk factors and perform appropriate interventions to improve the sleep.
Hr Bahrami Taghanaki , E Mosa Farkhani , R Eftekhari Gol , P Bahrami Taghanaki , S Bokaei, A Taghipour, B Beygi,
Volume 16, Issue 3 (Vol.16, No.3 2020)
Abstract
Background and Objectives: Diabetes is considered as one of the most common endocrine disorders worldwide. The aim of this study was to investigate the factors associated with diabetic complications.
Methods: A case-control study was performed on the data of 70089 diabetic patients (4622 cases and 53613 controls) extracted from the SINA Electronic Health Record (SinaEHR®) in a population covered by Mashhad University of Medical Sciences in 2018. The effect of independent variables on the likelihood of diabetic complications was investigated using single-variable and multivariate logistic regression models with the control of the potential confounding effects.
Results: Using the multivariate logistic regression, the odds of developing diabetic complications were 0.35 (0.31-0.38) for living in the city, 0.73(0.67-0.79) for living in the suburbs and 0.31(0.28-0.33) for living in rural areas relative to the metropolises, 0.84 (0.78-0.91) for illiterate subjects, 0.70 (0.66-0.75) for physical activity, 1.51(1.34-1.71) for stage 1 hypertension and 1.87 (1.43-2.44) for stage 2 hypertension relative to normal blood pressure, 0.79(0.74-0.85) for uncontrolled low density lipoprotein and 1.42(1.33-1.51) for uncontrolled hemoglobin A1C.
Conclusion: Various risk factors were identified to increase the odds ratio of diabetic complications. The most important risk factors were uncontrolled glycosylated hemoglobin and stage 1 and 2 hypertension. Control of these factors can reduce the chance of diabetic complications in diabetic patients.
