Abstract

Previous studies have described significant impact of different types of noise on the linear behavior of heart rate variability (HRV). However, there are few studies regarding the complexity of HRV during exposure to traffic noise. In this study, we evaluated the complexity of HRV during traffic noise exposure. We analyzed 31 healthy female students aged between 18 and 30 years. Volunteers remained at rest seated under spontaneous breathing during 10 minutes with an earphone turned off, and then they were exposed to traffic noise through an earphone for a period of 10 minutes. The traffic noise was recorded from a very busy city street and the sound was comprised of car, bus, and trucks engines and horn (71–104 dB). We observed no significant changes in the linear analysis of HRV. CFP3 (Cohen’s d=1.28, large effect size) and CFP6 (Cohen’s d=1.11, large effect size) parameters of chaotic global analysis and Shannon (Cohen’s d=1.13, large effect size), Renyi (Cohen’s d=1.06, large effect size), and Tsallis (Cohen’s d=1.14, large effect size) entropies significantly increased p<0.005 during traffic noise exposure. In conclusion, traffic noise under laboratory conditions increased the complexity of HRV through chaotic global analysis and some measures of entropy in healthy females.

Highlights

  • Noise may be considered an unpleasant sound, which may have effects on physiological variables

  • We evaluated the complexity of heart rate variability (HRV) during traffic noise exposure

  • We excluded women under the following conditions: body mass index (BMI) > 30 kg/m2, systolic blood pressure (SBP) > 140 mmHg or diastolic blood pressure (DBP) > 90 mmHg, and endocrine, cardiovascular, respiratory, and neurological related disorders or any condition that prevented the subject from performing the study

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Summary

Introduction

Noise may be considered an unpleasant sound, which may have effects on physiological variables. It is often found in hazardous situations due to industrialization and urbanization [1]. In this way, the research literature has previously investigated the effects of different types of noise on autonomic nervous system by analyzing heart rate variability (HRV) [2]. Until now the research literature has only focused on traditional linear indices of HRV analysis [2, 4, 5]

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