<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Journal of Human Environment and Health Promotion</title>
<title_fa>مجله انسان، محیط زیست و ارتقاء سلامت</title_fa>
<short_title>jhehp</short_title>
<subject>Medical Sciences</subject>
<web_url>http://jhehp.zums.ac.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2476-5481</journal_id_issn>
<journal_id_issn_online>2476-549x</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>10.66224/jhehp</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1400</year>
	<month>3</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2021</year>
	<month>6</month>
	<day>1</day>
</pubdate>
<volume>7</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Prediction of Hypertension Based on the Quantity and Quality 
of Sleep in Adults:  Results of the First Phase of Shahedieh Cohort 
Study 2015-2016</title>
	<subject_fa> Public Health</subject_fa>
	<subject> Public Health</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Original Article</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;div style=&quot;text-align: justify;&quot;&gt;&lt;span style=&quot;font-size:14px;&quot;&gt;&lt;span style=&quot;font-family:Times New Roman;&quot;&gt;&lt;strong&gt;Background: &lt;/strong&gt;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.&lt;br&gt;
&lt;strong&gt;Methods:&lt;/strong&gt; 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.&lt;br&gt;
&lt;strong&gt;Results:&lt;/strong&gt;&amp;nbsp;The results showed that blood pressure in people who sleep less than 6 h &amp;nbsp;at night was significantly higher than those who obtain 6-8 h &amp;nbsp;night&amp;prime;s sleep (&lt;em&gt;P&lt;/em&gt; = 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 (&lt;em&gt;P&lt;/em&gt; &lt; 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.&lt;br&gt;
&lt;strong&gt;Conclusion:&amp;nbsp;&lt;/strong&gt;Sleep duration at night is a strong predictor for systolic and diastolic blood pressure.&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>High blood pressure, Hypertension, Sleep,</keyword>
	<start_page>90</start_page>
	<end_page>95</end_page>
	<web_url>http://jhehp.zums.ac.ir/browse.php?a_code=A-10-347-3&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Mahdieh</first_name>
	<middle_name></middle_name>
	<last_name>Momayyezi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mahdieh_momayyezi@yahoo.com</email>
	<code>100319475328460011176</code>
	<orcid>100319475328460011176</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Leila</first_name>
	<middle_name></middle_name>
	<last_name>Fakhravari</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>leila74fakhravari@gmail.com</email>
	<code>100319475328460011177</code>
	<orcid>100319475328460011177</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>MSc Student of Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Hossein</first_name>
	<middle_name></middle_name>
	<last_name>Fallahzadeh</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>hofaab@yahoo.com</email>
	<code>100319475328460011178</code>
	<orcid>100319475328460011178</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Masoud</first_name>
	<middle_name></middle_name>
	<last_name>Mirzaei</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>masoud_mirzaei@hotmail.com</email>
	<code>100319475328460011179</code>
	<orcid>100319475328460011179</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
