赞詹医科大学员工不同人口学特征与呼气峰流量呈正相关

IF 1.1 Q4 IMMUNOLOGY
Samad Ghodrati, Jafar Kiasatfar, N. Parsamanesh, Shohre Alian Samakkhah, M. Asadi-Khiavi, A. Pezeshgi
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引用次数: 0

摘要

引言:呼气峰流量(PEF)是评估呼吸能力的可靠标准,作为哮喘控制的标志物,具有广泛的临床应用。然而,其广泛的可变性破坏了其功效。目的:本研究旨在评估赞詹医科大学工作人员的PEF变化。患者和方法:该大学的400名员工参与了这项横断面研究。他们的PEF值在早上8点和下午2点使用峰值流量计对每个个体测量三次,然后记录最高的PEF量以进行测量。结果:通过配对t检验,下午的PEF值(43865L/min)明显高于上午的测量值(404.60L/min)(P<0.001)。此外,男性的PEF平均值高于女性(469.77L/min,355.94L/min;独立t检验,P<0.001),上午和下午的PEF平均值男性高于女性(404.6L/min,而338.65L/min,独立t检验,P<0.001)。此外,男性和女性的变异水平分别为8.39±6和8.47±4L/min。PEF变异性水平与身高之间存在高度相关性(5.1)。同时,PEF水平与体重指数(BMI)之间存在中度相关性(1.47)。PEF水平和年龄之间没有任何相关性。结论:根据我们的研究结果,PEF个体间的变异性取决于年龄、性别身高和BMI,然而,值得在下午4点之前测量PEF的个体间变异性。所有这些变量都是在20%的范围内获得的;然而,根据参考文献,20%的变异性被认为是正常的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The positive association between various demographic characteristics and peak expiratory flow in employees of Zanjan university of medical sciences
Introduction: Peak expiratory flow (PEF) is a reliable criterion for assessing respiratory capacity, and has a wide range of clinical application as a marker of asthma control. However, its wide variability undermines its efficacy. Objectives: This study was designed to evaluate PEF changes in staff of Zanjan University of Medical Sciences. Patients and Methods: Four hundred employees of this university participated in this cross-sectional study. Their PEF values were measured using peak flow meter in the morning at 8 AM and in the afternoon at 2 PM by three times for each individual, and then the highest amount of PEF was recorded about for measurement. Results: Obviously, PEF values were higher in the afternoon (43865 L/min) in comparison to the morning measurements (404.60 L/min) by paired t test (P<0.001). In addition, mean of PEF in the males was higher than the females in the morning (469.77 L/min, versus 355.94 L/min; independent t test, P<0.001), and also PEF mean of the morning and afternoon was higher in the males than females (404.6 L/min, versus 338.65 L/min, independent t test, P<0.001). Additionally, the variability level in the males and females was 8.39±6 and 8.47±4 L/min, respectively. There was a high correlation between the level of PEF variability and height (5.1). Meanwhile, a moderate correlation between PEF level and body mass index (BMI) was detected (1.47). There was not any correlation between the level of PEF and age. Conclusion: Based on our findings, PEF inter-individual variability depends on age, gender height, and BMI however, it is worthwhile that this PEF inter-individual variability to be measured just until 4 PM. All these variables were obtained under the range of 20%; however, relying on references, the variability of 20% is considered as normal.
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
65
审稿时长
3 weeks
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