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Obstructive sleep apnoea syndrome (OSAS) and mood disorders in a population of public transport drivers

机译:公共交通驾驶员中的阻塞性睡眠呼吸暂停综合症(OSAS)和情绪障碍

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BACKGROUND: A growing number of reports pinpoint the high prevalence of mood disorders in OSAS patients. The aim of the study was to verify the presence of depressive mood disorders and their relationship with OSAS in a population of public transport drivers. METHODS: 164 city bus drivers underwent an anthropometric and biochemical assessment, administration of ESS and Zung Scale questionnaires and cardio-respiratory polysomnography (PSG). The data were compared with a matched control group of 171 subjects. RESULTS: The two groups of subjects differed as regards BMI (p < 0.001), neck circumference (p < 0.001), fasting plasma glucose (p < 0.001), basal insulin (p < 0.001) and HOMA index (p < 0.001), degree of daytime sleepiness (p < 0.001) and Zung scale score (p < 0.001). PSG revealed significant differences in AHI (p < 0001), ODI (p < 0001), in the absolute and mean values of the nadir of the ODI (for both p < 0001), in total sleep time with O2 saturation level values < 90% (p < 0.001) and < 80% (p < 0.001). Pearson's correlation analysis showed a linear relationship between AHI and Zung scale (r = 0.75, p = 0.000) and between ODI and ESS (r = 0.59, p = 0.000). CONCLUSIONS: The role of sleep-related breathing disorders in mood modulation is well known from the literature. Our results highlight the relationship between OSAS and mood lowering in urban bus drivers, suggesting the need for a multidisciplinary approach to assess the health of this occupational group, including assessment of any sleep disorders, with particular reference to those of a respiratory nature.
机译:背景:越来越多的报告指出了OSAS患者情绪障碍的高患病率。这项研究的目的是验证公共交通驾驶员中抑郁情绪障碍的存在及其与OSAS的关系。方法:对164名城市公交车驾驶员进行了人体测量和生化评估,ESS和Zung量表的问卷调查以及心肺多导睡眠图(PSG)。将数据与171名受试者的匹配对照组进行比较。结果:两组受试者的BMI(p <0.001),颈围(p <0.001),空腹血糖(p <0.001),基础胰岛素(p <0.001)和HOMA指数(p <0.001)有所不同,白天嗜睡程度(p <0.001)和Zung量表评分(p <0.001)。 PSG显示,在O2饱和度值<90的总睡眠时间中,AHI(p <0001),ODI(p <0001)的ODI最低值的绝对值和均值(对于p <0001而言)存在显着差异。 %(p <0.001)和<80%(p <0.001)。皮尔森的相关分析显示,AHI与Zung量表之间的线性关系(r = 0.75,p = 0.000),以及ODI与ESS之间的线性关系(r = 0.59,p = 0.000)。结论:与睡眠有关的呼吸障碍在情绪调节中的作用从文献中是众所周知的。我们的研究结果突显了城市公交车司机的OSAS与情绪降低之间的关系,这表明需要采取多学科方法来评估该职业人群的健康状况,包括评估任何睡眠障碍,尤其是呼吸系统疾病。

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