Prediction of Hypertension Based on the Quantity and Quality of Sleep in Adults: Results of the First Phase of Shahedieh Cohort Study ۲۰۱۵-۲۰۱۶

Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JHEHP-7-2_006

تاریخ نمایه سازی: 21 بهمن 1401

Abstract:

Background: The prevalence of high blood pressure is a serious concern in developing countries. The present study aimed to examine hypertension based on the quantity and quality of sleep in adults. Methods: This descriptive study was conducted on the data of the first phase of Shahedieh cohort study in Yazd (Shahdieh, Zarch, and Ashkezar cities), Iran during ۲۰۱۵-۲۰۱۶. The variables of the study were assessed by the questions regarding the sleep status and blood pressure measurement. To analyze the data SPSS version ۲۰ was used. Results: The results showed that blood pressure in people who sleep less than ۶ h  at night was significantly higher than those who obtain ۶-۸ h  night′s sleep (P = ۰.۰۰۱). Moreover, the findings indicated systolic blood pressure is significantly related to taking naps during the day , using sleeping pills, and restless legs syndrome during sleep (P < ۰.۰۰۱). According to the results, ۹۸% of the systolic blood pressure variance and ۸۰% of the diastolic blood pressure variance were explained by the sleep-related variables. Conclusion: Sleep duration at night is a strong predictor for systolic and diastolic blood pressure.

Authors

Mahdieh Momayyezi

Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Leila Fakhravari

MSc Student of 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.

Masoud Mirzaei

Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

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