S. Rahimi, Mohammad Rezaei, Parastoo Setareh, Habibolah Khazaie, H. Mohammadi
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Then participants were divided into noisy and quiet environment groups based on their distance from highways, boulevards, and streets. Subjective and objective sleep characteristics were compared between these two groups by independent sample t-test or U Mann Whitney test using the Statistical Package for the Social Sciences (SPSS) version.22. Results: Of 78 participants, 47 were from Kermanshah city, 19 were from counties of Kermanshah province, and 14 participants were from Kurdistan, Ilam, Hamedan, Lorestan, Khuzestan and Tehran provinces. The location of all participants was presented on GIS maps. Result didn’t indicate any significant differences in sleep characteristics between the two noisy and quiet environment groups. Conclusions: Most insomniac patients investigated in the SDRC come from Kermanshah city. 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Objectives: In the present study, the geographical distribution of people diagnosed as insomnia in Sleep Disorders Research Centers (SDRC) in the western Iran was investigated. Methods: All patients with primary insomnia who diagnosed by polysomnography (PSG) in SDRC between 2011 to 2019 were recruited. The postal addresses of participants specified by a geographical coordinate represented longitude, latitude, and vertical position. These geographical coordinates converted to Geographic Information System (GIS) and addresses were located on the map. Then participants were divided into noisy and quiet environment groups based on their distance from highways, boulevards, and streets. Subjective and objective sleep characteristics were compared between these two groups by independent sample t-test or U Mann Whitney test using the Statistical Package for the Social Sciences (SPSS) version.22. 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引用次数: 0
摘要
背景:由于睡眠障碍的高患病率和非常高的经济负担,它是卫生政策制定者面临的重要挑战之一。空气和噪音污染对睡眠质量和睡眠障碍的影响已被提出。目的:在本研究中,调查了伊朗西部睡眠障碍研究中心(SDRC)诊断为失眠症的人群的地理分布。方法:招募2011 - 2019年SDRC所有经多导睡眠图(PSG)诊断的原发性失眠患者。参与者的邮政地址由代表经度、纬度和垂直位置的地理坐标指定。这些地理坐标转换成地理信息系统(GIS),并在地图上定位地址。然后根据参与者与高速公路、林荫大道和街道的距离,将他们分为嘈杂和安静的环境组。采用社会科学统计软件包(SPSS)版本,采用独立样本t检验或U Mann Whitney检验比较两组的主观和客观睡眠特征。结果:78名参与者中,克尔曼沙赫市47人,克尔曼沙赫省县19人,库尔德斯坦、伊拉姆、哈马丹、洛勒斯坦、胡齐斯坦和德黑兰省14人。所有参与者的位置都显示在GIS地图上。结果显示,嘈杂环境组和安静环境组的睡眠特征没有显著差异。结论:SDRC调查的大多数失眠症患者来自Kermanshah市。失眠患者可能在睡眠-觉醒调节系统中达到一定程度的病理生理状态,从而导致独立于环境噪声的有问题的睡眠特征。
Geographical Distribution of Insomniac Patients in Western Iran
Background: Sleep disorders are among important challenges for health policymakers due to its high prevalence and very high economic burden. Effect of air and noise pollutions on sleep quality and disorders has been proposed. Objectives: In the present study, the geographical distribution of people diagnosed as insomnia in Sleep Disorders Research Centers (SDRC) in the western Iran was investigated. Methods: All patients with primary insomnia who diagnosed by polysomnography (PSG) in SDRC between 2011 to 2019 were recruited. The postal addresses of participants specified by a geographical coordinate represented longitude, latitude, and vertical position. These geographical coordinates converted to Geographic Information System (GIS) and addresses were located on the map. Then participants were divided into noisy and quiet environment groups based on their distance from highways, boulevards, and streets. Subjective and objective sleep characteristics were compared between these two groups by independent sample t-test or U Mann Whitney test using the Statistical Package for the Social Sciences (SPSS) version.22. Results: Of 78 participants, 47 were from Kermanshah city, 19 were from counties of Kermanshah province, and 14 participants were from Kurdistan, Ilam, Hamedan, Lorestan, Khuzestan and Tehran provinces. The location of all participants was presented on GIS maps. Result didn’t indicate any significant differences in sleep characteristics between the two noisy and quiet environment groups. Conclusions: Most insomniac patients investigated in the SDRC come from Kermanshah city. Patient with insomnia may reach a level of the pathophysiological condition in sleep-wake regulation systems that lead to problematic sleep characteristics independently from environmental noise.