Association of long-term exposure to traffic-related PM10 with heart rate variability and heart rate dynamics in healthy subjects

Meier-Girard, Delphine; Delgado-Eckert, Edgar; Schaffner, Emmanuel; Schindler, Christian; Künzli, Nino; Adam, Martin; Pichot, Vincent; Kronenberg, Florian; Imboden, Medea; Frey, Urs; Probst‐Hensch, Nicole

doi:10.1016/j.envint.2019.01.031

Cited by 16 publications

(3 citation statements)

References 47 publications

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“…We also found significant effects of air pollution (PM 2.5 ) and urban conditions on stress activation; in both conditions stress increased as PM 2.5 increased, but with no potential buffering effect of green space, although stress activation was greater in the trafficked urban walk (Figure 9). Given that other studies have identified associations between mental health (i.e., self-reported anxiety, depression and stress) and heart rate dynamics (i.e., HRV) and exposure to traffic and air pollutants in healthy adults (53,54), in a larger sample we might expect to see a stronger effect of urban conditions and air pollution on stress activation. It is also possible that a longer exposure time to air pollution may be required to detect differences.…”

Section: Discussionmentioning

confidence: 85%

The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study

Roe

Mondschein

Neale

et al. 2020

Front. Public Health

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Section: Discussionmentioning

confidence: 85%

The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study

Roe

Mondschein

Neale

et al. 2020

Front. Public Health

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“…When these materials surpass pre-established concentrations, they can be harmful to health, as well as to normal community activities, such as activities of daily living and social participation. 1,2 Impacts of air pollution on cardiovascular morbidity and mortality have been described, 3 and can be explained by: 1) an increase in fibrinogen and circulating inflammatory factors that lead to an increase in blood viscosity and coagulation disorders; and 2) changes in autonomic nervous system (ANS) modulation to the heart, [4][5][6][7][8][9] which can be evaluated through heart rate variability (HRV).…”

Section: Introductionmentioning

confidence: 99%

Impact of Air Pollutant on Heart Rate Variability in Healthy Young Adults

Melinski¹,

Catai²,

Moura³

et al. 2022

International Journal of Cardiovascular Sciences

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Background: Air pollution and sex independently affect cardiac autonomic control, which can be assessed by heart rate variability (HRV). The research hypothesis is that individuals exposed to low concentrations of pollution have higher cardiac autonomic modulation compared to those exposed to high concentrations and that women have better cardiac autonomic control than men. Objective:To analyze the impact of exposure to air pollutants, specifically smoke, and sex on HRV in healthy young people exposed to different concentrations of pollution over an average period of 22 years. Methods:From April to September 2011, 36 participants of both sexes (20-30 years old) were selected, grouped by levels of air pollution exposure according to indices provided by the Environmental Company of São Paulo State. The R-R intervals (R-Ri) of the electrocardiogram were captured using a heart rate monitor during supine rest. HRV was analyzed by spectral analysis and conditional entropy. The Queen´s College step test was used to characterize functional capacity. A between-group comparison was performed using the two-way ANOVA statistical test (post hoc Tukey) and p<0.05.Results: Significant differences were found in mean R-Ri (p<0.01) and cardiac parasympathetic modulation between sexes in the same city (p=0.02) and between groups exposed to different air pollution concentrations (p<0.01). Conclusion:Our results suggest that long-term exposure to air pollutants, specifically smoke, has an unfavorable impact on HRV, with reduced cardiac vagal autonomic modulation in healthy young adults, especially females.

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“…Due to their harmful effects on health (Bentayeb et al 2015;Riviere et al 2019;Meier-Girard et al 2019), it is especially important to monitor concentrations of air pollutants and to enhance air quality forecasts. Air pollutant effects on human health vary with the duration and level of exposure (Barba-Vasseur et al 2017;Mariet et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France

Joly

Gilbert

Díaz-de-Quijano

et al. 2020

Theor Appl Climatol

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Public health institutions need high-resolution next-day forecasts so they can order appropriate measures when there is a risk of air pollution exceeding regulatory thresholds. The MOCAGE model, the chemistry transport model developed by Météo-France, forecasts hourly surface PM10 concentrations at a resolution of 0.1° throughout France (7.6 km). To obtain more efficient forecasts, a downscaling method is applied using topographic data (250 m resolution) and inventory data (2.2 km). All these disparate inputs are spatially standardized in a geographical information system to construct continuous daily fields at 250 m resolution. This method is suitable for large territories with widely varying environments (mountains, lowlands, coastlines, urban areas, etc.) and areas with a low density of monitoring stations. The parameters used to improve MOCAGE forecasts are derived from "global" and "local" regressions describing the links between the daily PM10 concentration averages collected at 325 monitoring stations and seven explanatory variables (three topographic and four emission-inventory variables). One of the main results shows that the topographic and emission variables respectively explain 6% and 13% of PM10 variance in France. Analysis by local regression accounts for 74% of the spatial variation of PM10 concentration while the global regression accounts for 49%. The results show above all that, if the authorities responsible for human health protection had used the downscaling method instead of MOCAGE raw forecasts in 2016, they would have informed or alerted ten times as many people about the information and recommendation threshold (50 μg.m -3 ) and alert threshold (80 μg.m -3 ) being exceeded.

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Association of long-term exposure to traffic-related PM10 with heart rate variability and heart rate dynamics in healthy subjects

Cited by 16 publications

References 47 publications

The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study

The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study

Impact of Air Pollutant on Heart Rate Variability in Healthy Young Adults

Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France

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