Exposure to Fine Particulate Matter Leads to Rapid Heart Rate Variability Changes
Introduction: Heart Rate Variability (HRV) reflects the adaptability of the heart to internal and external stimuli. Reduced HRV is a predictor of post-infarction mortality. We previously found in road maintenance workers HRV-increases several hours after exposure to fine particulate matter (PM2.5)....
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2018
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| Online Access: | https://hdl.handle.net/10356/84802 http://hdl.handle.net/10220/45117 |
| _version_ | 1826125864524316672 |
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| author | Riediker, Michael Franc, Yannick Bochud, Murielle Meier, Reto Rousson, Valentin |
| author2 | School of Materials Science & Engineering |
| author_facet | School of Materials Science & Engineering Riediker, Michael Franc, Yannick Bochud, Murielle Meier, Reto Rousson, Valentin |
| author_sort | Riediker, Michael |
| collection | NTU |
| description | Introduction: Heart Rate Variability (HRV) reflects the adaptability of the heart to internal and external stimuli. Reduced HRV is a predictor of post-infarction mortality. We previously found in road maintenance workers HRV-increases several hours after exposure to fine particulate matter (PM2.5). This seemed to conflict with studies where PM-exposure acutely reduced HRV. We therefore assessed whether time from exposure to HRV-assessment could explain the differences observed. Methods: On five non-consecutive days, workers carried nephelometers providing 1-min-interval PM2.5-exposure. Five-min HRV-intervals of SDNN (Standard Deviation of Normal to Normal beat intervals) and pNN50 (Percentage of the interval differences exceeding 50 ms) were extracted from 24-h electrocardiograms (ECGs). Following 60 min PM2.5-exposure, changes in HRV-parameters were assessed during 120-min visually and by regression analysis with control for time at work, at home, and during the night using autoregressive integrating moving average (ARIMA) models to account for autocorrelation of the time-series. Additional controls included changing the time windows and including body mass index (BMI) and age in the models. Result: Pattern analysis of 12,669 data points showed high modulation of mean, standard deviation (SD), and time trend of HRV (SDNN and pNN50) at low, and much reduced modulation at high PM2.5-exposures. The time trend following exposure was highly symmetrical, resembling a funnel plot. Regression analysis showed significant associations of decreasing SDNN and pNN50 (average, SD, and absolute value of time trend) with increasing PM2.5-exposure, which remained significant when controlling for activity phases. Changing time windows did not change the pattern of response. Including BMI and age did not change the results. Conclusions: The reduced modulation of HRV following PM2.5-exposure is striking. It suggests strong interference with homeostatic controls. Such an interference would represent a serious bodily burden, and could help explain acute cardiac events. In this model, the increase of HRV several hours later would reflect a recovery response. |
| first_indexed | 2024-10-01T06:43:21Z |
| format | Journal Article |
| id | ntu-10356/84802 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:43:21Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/848022023-07-14T15:44:41Z Exposure to Fine Particulate Matter Leads to Rapid Heart Rate Variability Changes Riediker, Michael Franc, Yannick Bochud, Murielle Meier, Reto Rousson, Valentin School of Materials Science & Engineering Heart Rate Variability Fine Particulate Matter Introduction: Heart Rate Variability (HRV) reflects the adaptability of the heart to internal and external stimuli. Reduced HRV is a predictor of post-infarction mortality. We previously found in road maintenance workers HRV-increases several hours after exposure to fine particulate matter (PM2.5). This seemed to conflict with studies where PM-exposure acutely reduced HRV. We therefore assessed whether time from exposure to HRV-assessment could explain the differences observed. Methods: On five non-consecutive days, workers carried nephelometers providing 1-min-interval PM2.5-exposure. Five-min HRV-intervals of SDNN (Standard Deviation of Normal to Normal beat intervals) and pNN50 (Percentage of the interval differences exceeding 50 ms) were extracted from 24-h electrocardiograms (ECGs). Following 60 min PM2.5-exposure, changes in HRV-parameters were assessed during 120-min visually and by regression analysis with control for time at work, at home, and during the night using autoregressive integrating moving average (ARIMA) models to account for autocorrelation of the time-series. Additional controls included changing the time windows and including body mass index (BMI) and age in the models. Result: Pattern analysis of 12,669 data points showed high modulation of mean, standard deviation (SD), and time trend of HRV (SDNN and pNN50) at low, and much reduced modulation at high PM2.5-exposures. The time trend following exposure was highly symmetrical, resembling a funnel plot. Regression analysis showed significant associations of decreasing SDNN and pNN50 (average, SD, and absolute value of time trend) with increasing PM2.5-exposure, which remained significant when controlling for activity phases. Changing time windows did not change the pattern of response. Including BMI and age did not change the results. Conclusions: The reduced modulation of HRV following PM2.5-exposure is striking. It suggests strong interference with homeostatic controls. Such an interference would represent a serious bodily burden, and could help explain acute cardiac events. In this model, the increase of HRV several hours later would reflect a recovery response. Published version 2018-07-18T09:06:50Z 2019-12-06T15:51:20Z 2018-07-18T09:06:50Z 2019-12-06T15:51:20Z 2018 Journal Article Riediker, M., Franc, Y., Bochud, M., Meier, R., & Rousson, V. (2018). Exposure to Fine Particulate Matter Leads to Rapid Heart Rate Variability Changes. Frontiers in Environmental Science, 6, 2-. https://hdl.handle.net/10356/84802 http://hdl.handle.net/10220/45117 10.3389/fenvs.2018.00002 en Frontiers in Environmental Science © 2018 The Author(s) (published by Frontiers). This is an openaccess 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) or licensor 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. 9 p. application/pdf |
| spellingShingle | Heart Rate Variability Fine Particulate Matter Riediker, Michael Franc, Yannick Bochud, Murielle Meier, Reto Rousson, Valentin Exposure to Fine Particulate Matter Leads to Rapid Heart Rate Variability Changes |
| title | Exposure to Fine Particulate Matter Leads to Rapid Heart Rate Variability Changes |
| title_full | Exposure to Fine Particulate Matter Leads to Rapid Heart Rate Variability Changes |
| title_fullStr | Exposure to Fine Particulate Matter Leads to Rapid Heart Rate Variability Changes |
| title_full_unstemmed | Exposure to Fine Particulate Matter Leads to Rapid Heart Rate Variability Changes |
| title_short | Exposure to Fine Particulate Matter Leads to Rapid Heart Rate Variability Changes |
| title_sort | exposure to fine particulate matter leads to rapid heart rate variability changes |
| topic | Heart Rate Variability Fine Particulate Matter |
| url | https://hdl.handle.net/10356/84802 http://hdl.handle.net/10220/45117 |
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