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      Effect of occupational exposure to welding fumes and noise on heart rate variability: An exposed-unexposed study on welders and airport workers' population

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          Abstract

          Introduction

          Welding fumes (WF) are a complex mixture of gas and particles. Action of occupational exposure to WF on cardiovascular system has been recently studied as for noise.

          Research question

          The main objectives of our study are therefore to evaluate the impact of exposure to WF, noise, and combined WF and noise on autonomic nervous system as assessed by heart rate variability (HRV).

          Methods

          The study groups were 16 welders and eight airport workers (as a control group). All the participants underwent ambulatory electrocardiogram, personal WF, and noise exposure monitoring, respectively, with dust track and calibrated noise dosimeter during workday. Atmospheric environmental assessments at workplaces have been also performed. HRV parameters were summarized for all the workday and hourly. Correlation tests were used to examine relation between HRV parameters and levels of noise exposure in the two population. Analysis of covariance (ANCOVA) was used for mean of each HRV parameters.

          Results

          For HRV parameters, we found significant higher levels for mean range of high frequency (HF), standard deviation of normal-to-normal R-R interval (SDNN), and root mean square of successive heartbeat interval difference (RMSSD) in welders which suggested an imbalance between sympathetic and parasympathetic nervous system in this population. For relation between noise and HRV parameters, we noted that levels of low frequency (LF), HF, and SDNN were significantly correlated with mean noise levels for welders (respectively, r = 0.62, r = 0.357, r = 0.48), not in control group. Using ANCOVA, we found that working as a welder significantly increases mean of HF ( p = 0.01) and RMSSD ( p = 0.02) and decreases in LF/HF ( p = 0.008). Indeed, the interaction between exposure to WF and mean noise levels for HF ( p = 0.005), LF/HF ( p = 0.01), and RMSSD ( p = 0.007) was significant.

          Conclusion

          This study shows an impact of WF and noise on ANS balance. One hypothesis is WF exposure could increase sensibility to noise exposure on autonomic nervous system or there is a synergic effect.

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          Most cited references39

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          An Overview of Heart Rate Variability Metrics and Norms

          Healthy biological systems exhibit complex patterns of variability that can be described by mathematical chaos. Heart rate variability (HRV) consists of changes in the time intervals between consecutive heartbeats called interbeat intervals (IBIs). A healthy heart is not a metronome. The oscillations of a healthy heart are complex and constantly changing, which allow the cardiovascular system to rapidly adjust to sudden physical and psychological challenges to homeostasis. This article briefly reviews current perspectives on the mechanisms that generate 24 h, short-term (~5 min), and ultra-short-term (<5 min) HRV, the importance of HRV, and its implications for health and performance. The authors provide an overview of widely-used HRV time-domain, frequency-domain, and non-linear metrics. Time-domain indices quantify the amount of HRV observed during monitoring periods that may range from ~2 min to 24 h. Frequency-domain values calculate the absolute or relative amount of signal energy within component bands. Non-linear measurements quantify the unpredictability and complexity of a series of IBIs. The authors survey published normative values for clinical, healthy, and optimal performance populations. They stress the importance of measurement context, including recording period length, subject age, and sex, on baseline HRV values. They caution that 24 h, short-term, and ultra-short-term normative values are not interchangeable. They encourage professionals to supplement published norms with findings from their own specialized populations. Finally, the authors provide an overview of HRV assessment strategies for clinical and optimal performance interventions.
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            Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

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              Air Pollution and Cardiovascular Disease

              Fine particulate matter <2.5 μm (PM2.5) air pollution is the most important environmental risk factor contributing to global cardiovascular (CV) mortality and disability. Short-term elevations in PM2.5 increase the relative risk of acute CV events by 1% to 3% within a few days. Longer-term exposures over several years increase this risk by a larger magnitude (∼10%), which is partially attributable to the development of cardiometabolic conditions (e.g., hypertension and diabetes mellitus). As such, ambient PM2.5 poses a major threat to global public health. In this review, the authors provide an overview of air pollution and health, including assessment of exposure, impact on CV outcomes, mechanistic underpinnings, and impact of air pollution reduction strategies to mitigate CV risk. The review concludes with future challenges, including the inextricable link between air pollution and climate change, and calls for large-scale trials to allow the promulgation of formal evidence-based recommendations to lower air pollution-induced health risks.
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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                28 September 2022
                2022
                : 10
                : 937774
                Affiliations
                [1] 1Center of Environmental and Occupational Diseases, Department of Occupational Health, Brest Teaching Hospital , Brest, France
                [2] 2ORPHY Laboratory, Department of Sciences, Occidental Brittany University Brest , Brest, France
                [3] 3Carsat Bretagne (Regional Agency of Occupational Health), Department of Occupational Prevention , Rennes, France
                [4] 4Occupational Health Service, Department of Occupational Prevention, Naval Group , Brest, France
                [5] 5Iroise Occupational Health Service, Department of Occupational Prevention 22 Rue de Kervezennec , Brest, France
                [6] 6Cardiology Unit, Department of Cardiovascular Diseases, Brest Teaching Hospital , Brest, France
                Author notes

                Edited by: Andrea Trevisan, University of Padua, Italy

                Reviewed by: Somayeh Farhang Dehghan, Shahid Beheshti University of Medical Sciences, Iran; Olivia Torres Bugarin, Universidad Autónoma de Guadalajara, Mexico

                *Correspondence: David Lucas david.lucas@ 123456chu-brest.fr

                This article was submitted to Occupational Health and Safety, a section of the journal Frontiers in Public Health

                †ORCID: David Lucas orcid.org/0000-0001-8201-0808

                Article
                10.3389/fpubh.2022.937774
                9554501
                36249234
                5add71ab-04a0-45f0-b04f-436272b75bfe
                Copyright © 2022 Lucas, Guerrero, Jouve, Hery, Capellmann and Mansourati.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 02 June 2022
                : 07 September 2022
                Page count
                Figures: 0, Tables: 8, Equations: 0, References: 45, Pages: 10, Words: 6575
                Funding
                Funded by: Université de Bretagne Occidentale, doi 10.13039/501100006703;
                Categories
                Public Health
                Original Research

                welding fumes,heart rate variability,noise,occupational health,autonomic nervous system,occupational toxicology

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