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prediction of hypertension based on the quantity and quality of sleep in adults: results of the first phase of shahedieh cohort study 2015-2016
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نویسنده
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momayyezi mahdieh ,fakhravari leila ,fallahzadeh hossein ,mirzaei masoud
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منبع
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journal of human environment and health promotion - 2021 - دوره : 7 - شماره : 2 - صفحه:90 -95
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چکیده
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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 2015-2016. the variables of the study were assessed by the questions regarding the sleep status and blood pressure measurement. to analyze the data spss version 20 was used. results: the results showed that blood pressure in people who sleep less than 6 h at night was significantly higher than those who obtain 6-8 h night′s sleep (p = 0.001). 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 < 0.001). according to the results, 98% of the systolic blood pressure variance and 80% 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.
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کلیدواژه
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high blood pressure ,hypertension ,sleep
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آدرس
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shahid sadoughi university of medical sciences, center for healthcare data modeling, school of public health, departments of biostatistics and epidemiology, iran, shahid sadoughi university of medical sciences, school of public health, iran, shahid sadoughi university of medical sciences, center for healthcare data modeling, research center of prevention and epidemiology of non-communicable disease, school of public health, departments of biostatistics and epidemiology, iran, shahid sadoughi university of medical sciences, center for healthcare data modeling, school of public health, departments of biostatistics and epidemiology, iran
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پست الکترونیکی
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masoud_mirzaei@hotmail.com
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Authors
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