Mohammadali Zohal1, Azam Ghorbani2, Neda Esmailzadehha1, Amir Ziaee3, Zahrasadat Mohammadi1. 1. Metabolic Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran. 2. Metabolic Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran; School of Nursing & Midwifery, Qazvin University of Medical Sciences, Qazvin, Iran. Electronic address: ghorbani_az@yahoo.com. 3. Growth and Development Research Center, Iran University of Medical Sciences, Tehran, Iran; Metabolic Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Abstract
PURPOSE: The aim of this study was to determine the association of sleep quality and sleep quantity with metabolic syndrome in Qazvin, Iran. METHODS: this cross sectional study was conducted in 1079 residents of Qazvin selected by multistage cluster random sampling method in 2011. Metabolic syndrome was defined according to the criteria proposed by the national cholesterol education program third Adult treatment panel. Sleep was assessed using the Pittsburgh sleep quality index (PSQI). A logistic regression analysis was used to examine the association of sleep status and metabolic syndrome. RESULTS: Mean age was 40.08±10.33years. Of 1079, 578 (52.2%) were female, and 30.6% had metabolic syndrome. The total global PSQI score in the subjects with metabolic syndrome was significantly higher than subjects without metabolic syndrome (6.30±3.20 vs. 5.83±2.76, P=0.013). In logistic regression analysis, sleep disturbances was associated with 1.388 fold increased risk of metabolic syndrome after adjustment for age, gender, and body mass index. CONCLUSION: Sleep disturbances component was a predictor of metabolic syndrome in the present study. More longitudinal studies are necessary to understand the association of sleep quality and its components with metabolic syndrome.
PURPOSE: The aim of this study was to determine the association of sleep quality and sleep quantity with metabolic syndrome in Qazvin, Iran. METHODS: this cross sectional study was conducted in 1079 residents of Qazvin selected by multistage cluster random sampling method in 2011. Metabolic syndrome was defined according to the criteria proposed by the national cholesterol education program third Adult treatment panel. Sleep was assessed using the Pittsburgh sleep quality index (PSQI). A logistic regression analysis was used to examine the association of sleep status and metabolic syndrome. RESULTS: Mean age was 40.08±10.33years. Of 1079, 578 (52.2%) were female, and 30.6% had metabolic syndrome. The total global PSQI score in the subjects with metabolic syndrome was significantly higher than subjects without metabolic syndrome (6.30±3.20 vs. 5.83±2.76, P=0.013). In logistic regression analysis, sleep disturbances was associated with 1.388 fold increased risk of metabolic syndrome after adjustment for age, gender, and body mass index. CONCLUSION: Sleep disturbances component was a predictor of metabolic syndrome in the present study. More longitudinal studies are necessary to understand the association of sleep quality and its components with metabolic syndrome.
Authors: Symielle A Gaston; Yong-Moon Park; Ketrell L McWhorter; Dale P Sandler; Chandra L Jackson Journal: Diabetol Metab Syndr Date: 2019-02-14 Impact factor: 3.320