The Association between Sleep Pattern with Lipid Profile and Obesity among Adults in Yazd: Cross-Sectional Analysis of Shahedieh Cohort Study

Mahdieh  Momayyezi; Hossein  Fallahzadeh; Leila  Fakhravari; Masoud  Mirzaei

doi:10.18502/jnfs.v7i3.10198

Mahdieh Momayyezi Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Hossein Fallahzadeh Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Leila Fakhravari Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Masoud Mirzaei Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

DOI: https://doi.org/10.18502/jnfs.v7i3.10198

Keywords: Lipids; Obesity; Sleep; Cohort studies

Abstract

Background: Lifestyle changes, such as changes in sleep patterns and insufficient sleep have led to an increase in obesity and hyperlipidemia. The present study was conducted to investigate the association between abnormal lipid profile and obesity with sleep pattern among adult in Yazd adults in Shahedieh cohort study.

Methods: This analytic cross-sectional study was carried out on the data of the enrollment phase of Shahedieh cohort study conducted in Yazd Greater Area during 2015-2017. In this study, all adults aged 35-70 years from Shahedieh, Zarch, and Ashekzar cities were investigated. The data used in this study included demographic and sleep variables, as well as triglyceride (TG), cholesterol (TC), high density lipoprotein cholesterol (HDL-c) and low density lipoprotein cholesterol (LDL-c).

Results: The results showed that 4765 participants were male, and 4768 were female, and most of the them were overweight (42.4%) or obese (34.2%). The results showed that long-term sleep (> 8 hours at night) is correlated with high serum TC (P = 0.009) and TG (P = 0.009). Sleep latency is related with an increase in TC (r=0.03, P = 0.004), TG (r=0.04, P = 0.001), and LDL-c (r = 0.04, P = 0.001). Moreover, the duration of daytime sleep increases by increasing TG (r = 0.06, P = 0.001) and decreasing HDL-c (r = -0.07, P = 0.001). The results also showed that TG were significantly higher in people with periodic limb movement in sleep (P = 0.02). The number of people who used sleeping pills increased by increasing TG (P = 0.01) and body mass index (BMI) decreased by increasing sleep duration (P = 0.21).

Conclusion: The results of this study showed that long-term sleep increases TC and TG. The findings showed a correlation between long sleep duration and decreased BMI.