The effects of exposure to different noise frequency patterns on blood pressure components and hypertension
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ORIGINAL ARTICLE
The effects of exposure to different noise frequency patterns on blood pressure components and hypertension Masoud Khosravipour1,2 · Farid Khosravi2 · Hossien Ashtarian3 · Mansour Rezaei4 · Zahra Moradi2 · Hadis Mohammadi Sarableh2 Received: 15 August 2018 / Accepted: 24 April 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstracts Objective Previous studies have indicated a significant association between exposure to noise and blood pressure. However, the effects of exposure to different noise frequency patterns on blood pressure components and hypertension (HTN) have been unknown. Methods We recruited a total of 518 eligible workers in this study. According to types of work (office and production-line), overall A-weighted equivalent sound pressure levels (8-h LAeq), and total 8-h LAeq at low (31.5, 63, and 125 Hz), medium (250, 500, and 1000 Hz), and high ( 2, 4, and 8 kHz) frequencies, we classified subjects into four categories, involving office workers (n = 214) exposed to overall 8-h LAeq 90 dB that the levels of noise at the high frequency were 10 dBA more than the medium frequency. The high A and high B groups were a little difference in total 8-h LAeq at the low and medium frequencies (≤ 3 dBA) and a wide difference at the high frequency (more than 10 dBA). The logistic regression models were applied to determine the odds of HTN among study groups. Results The significant difference was observed among study groups in the average of systolic blood pressure (SBP), pulse pressure (PP), mean arterial pressure (MAP), and the frequency of HTN (P 90 dB that the levels of noise at the high frequency were 10 dBA more than the medium frequency. The high A and high B groups were a little difference in total 8-h LAeq at the low and medium frequencies (≤ 3 dBA) and a wide difference at the high frequency (more than 10 dBA).
Statistical analysis After entering the data into the SPSS software version 25 and classifying the variables, the Shapiro–Wilk test was used to measure the normality of the quantitative variables. Accordingly, the Kruskal–Wallis and Mann–Whitney tests were used to measure the difference between the study groups. For nominal variables, we applied the Chi-square test. The significance level was considered in all tests at the levels of P
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