Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

The short-term association between exposure to noise and heart rate variability in daily locations and mobility contexts

Abstract

Background

Personal exposure to noise has been shown to be associated with concomitant increases and lagged decreases of short-term heart rate variability (HRV). It is however unknown whether this association differs between contexts defined by visited places or mobility as both exposure sources and expectations may be different between these contexts.

Method

Between July 2014 and June 2015, the RECORD MultiSensor Study collected sound level and heart rate data for 75 participants, aged 34–74 years, in their living environments for 7 days using a personal dosimeter and electrocardiography sensor on the chest. Their whereabouts were collected using a GPS receiver and a mobility survey. Short-term concomitant and lagged associations between sound level and HRV parameters were assessed within types of visited places and transport modes using mixed effects models with a random intercept for participants.

Results

Increases in sound level were associated with a concomitant increase in all HR/HRV parameters, and delayed decreases in the overall HRV. Interactions between the sound level and the visited place/mobility context were documented. Compared with home, the concomitant association of sound level with HR and rMSSD was doubled within active and private-motorized transport modes, respectively.

Conclusions

The association of sound level with HR/HRV varies between visited places/mobility contexts. Future studies investigating these context-dependent associations in ambulatory settings will need to assess additional acoustical factors relating to the visited environments as well as non-acoustical factors impacting the perception of noise.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Basner M, Babisch W, Davis A, Brink M, Clark C, Janssen S, et al. Auditory and non-auditory effects of noise on health. Lancet 2014;383:1325–32.

    Article  Google Scholar 

  2. Nelson DI, Nelson RY, Concha‐Barrientos M, Fingerhut M. The global burden of occupational noise‐induced hearing loss. Am J Ind Med. 2005;48:446–58.

    Article  Google Scholar 

  3. de Kluizenaar Y, Matsui T. Recent progress in the field of non-auditory health effects of noise–trends and research needs. In: Proceedings of the 12th ICBEN congress on noise as a public health problem. Zurich; 2017. p. 1–12.

  4. Babisch W. The noise/stress concept, risk assessment and research needs. Noise Health 2002;4:1.

    Google Scholar 

  5. El Aarbaoui T, Méline J, Brondeel R, Chaix B. Short-term association between personal exposure to noise and heart rate variability: the RECORD MultiSensor Study. Environ Pollut. 2017;231:703–11.

    Article  CAS  Google Scholar 

  6. Schutte M, Marks A, Wenning E, Griefahn B. The development of the noise sensitivity questionnaire. Noise Health. 2007;9:15.

    Article  Google Scholar 

  7. Chaix B, Kestens Y, Bean K, Leal C, Karusisi N, Meghiref K, et al. Cohort profile: residential and non-residential environments, individual activity spaces and cardiovascular risk factors and diseases—the RECORD Cohort Study. Int J Epidemiol. 2011;41:1283–92.

    Article  Google Scholar 

  8. Chaix B, Kestens Y, Duncan DT, Brondeel R, Méline J, El Aarbaoui T, et al. A GPS-based methodology to analyze environment-health associations at the trip level: case-crossover analyses of built environments and walking. Am J Epidemiol. 2016;184:579–89.

    Article  Google Scholar 

  9. Chaix B, Kestens Y, Duncan S, Merrien C, Thierry B, Pannier B, et al. Active transportation and public transportation use to achieve physical activity recommendations? A combined GPS, accelerometer, and mobility survey study. Int J Behav Nutr Phys Act. 2014;11:124.

    Article  Google Scholar 

  10. Wolf J, Schönfelder S, Samaga U, Oliveira M, Axhausen K. Eighty weeks of global positioning system traces: approaches to enriching trip information. Transp Res Rec. 2004;1870:46–54.

  11. Camm AJ, Malik M, Bigger J, Breithardt G, Cerutti S, Cohen RJ. et al. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Eur Heart J. 1996;17:354–81.

    Article  Google Scholar 

  12. Ricciardi P, Delaitre P, Lavandier C, Torchia F, Aumond P. Sound quality indicators night noise guidelines for urban places in Paris cross-validated by Milan dataEurope. J Acoustical Soc Am. 2015;138:2337–48.

    Article  Google Scholar 

  13. Nunan D, Donovan G, Jakovljevic DG, Hodges LD, Sandercock GR, Brodie DA. Validity and reliability of short-term heart-rate variability from the Polar S810. Med Sci Sports Exerc. 2009;41:243–50.

    Article  Google Scholar 

  14. Thayer JF, Åhs F, Fredrikson M, Sollers JJ III, Wager TD. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev. 2012;36:747–56.

    Article  Google Scholar 

  15. Hill L, Siebenbrock A, Sollers J, Thayer JF. Are all measures created equal? Heart rate variability and respiration. Biomed Sci Instrum. 2009;45:71–6.

    Google Scholar 

  16. Laborde S, Mosley E, Thayer JF. Heart rate variability and cardiac vagal tone in psychophysiological research–recommendations for experiment planning, data analysis, and data reporting. Front Psychol. 2017;8:213.

    Article  Google Scholar 

  17. Team RC. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2013.

  18. Rodríguez-Liñares L, Méndez AJ, Lado MJ, Olivieri DN, Vila X, Gómez-Conde I. An open source tool for heart rate variability spectral analysis. Comput Methods Prog Biomed. 2011;103:39–50.

    Article  Google Scholar 

  19. Fitzmaurice GM, Laird NM, Ware JH. Applied longitudinal analysis. Hoboken, NJ: John Wiley & Sons; 2012.

  20. Kincaid C. Guidelines for selecting the covariance structure in mixed model analysis. In: Proceedings of the thirtieth annual SAS users group international conference. Cary, NC: SAS Institute Inc Cary NC; 2005.

  21. Fox J, Weisberg S, Adler D, Bates D, Baud-Bovy G, Ellison S, et al. Package ‘car’. Vienna: R Foundation for Statistical Computing; 2012.

  22. Fox J, Monette G. Generalized collinearity diagnostics. J Am Stat Assoc. 1992;87:178–83.

    Article  Google Scholar 

  23. O’brien RM. A caution regarding rules of thumb for variance inflation factors. Qual Quant. 2007;41:673–90.

    Article  Google Scholar 

  24. Pinheiro J, Bates D, DebRoy S, Sarkar D, Team RC. nlme: Linear and nonlinear mixed effects models. R package version 3.1-128. http://cran.r-project.org/package=nlme. 2017.

  25. Ball R, Galecki MA. lmeSplines: Add smoothing spline modelling capability to nlme. R package version 1.1–10. http://cran.r-project.org/package=lmeSplines. 2015.

  26. Hothorn T, Bretz F, Westfall P, Heiberger RM, Schuetzenmeister A, Scheibe S, et al. multcomp: Simultaneous Inference in General Parametric Models. R package version 1.4–8. http://cran.r-project.org/package=multcomp. 2017.

  27. Wickham H, Chang W. ggplot2: an implementation of the grammar of graphics. R package version 2.2.1. http://cran.r-project.org/package=ggplot2. 2018.

  28. Münzel T, Gori T, Babisch W, Basner M. Cardiovascular effects of environmental noise exposure. Eur Heart J. 2014;35:829–36.

    Article  Google Scholar 

  29. Idrobo Ávila EH, Loaiza Correa H, Van Noorden L, Muñoz Bolaños FG, Vargas Cañas R. Different types of sounds and their relationship with the electrocardiographic signals and the cardiovascular system—review. Front Physiol. 2018;9:525.

    Article  Google Scholar 

  30. Holand S, Girard A, Laude D, Meyer-Bisch C, Elghozi J-L. Effects of an auditory startle stimulus on blood pressure and heart rate in humans. J Hypertens. 1999;17:1893–7.

    Article  CAS  Google Scholar 

  31. Kraus U, Schneider A, Breitner S, Hampel R, Rückerl R, Pitz M, et al. Individual daytime noise exposure during routine activities and heart rate variability in adults: a repeated measures study. Environ Health Perspect. 2013;121:607.

    Article  Google Scholar 

  32. Buccelletti E, Gilardi E, Scaini E, Galiuto L, Persiani R, Biondi A, et al. Heart rate variability and myocardial infarction: systematic literature review and metanalysis. Eur Rev Med Pharmacol Sci. 2009;13:299–307.

    CAS  Google Scholar 

  33. Hillebrand S, Gast KB, de Mutsert R, Swenne CA, Jukema JW, Middeldorp S, et al. Heart rate variability and first cardiovascular event in populations without known cardiovascular disease: meta-analysis and dose–response meta-regression. Europace. 2013;15:742–9.

    Article  Google Scholar 

  34. Sim CS, Sung JH, Cheon SH, Lee JM, Lee JW, Lee J. The effects of different noise types on heart rate variability in men. Yonsei Med J. 2015;56:235–43.

    Article  Google Scholar 

  35. Oh B-S, Yeo YK, Wan FY, Wen Y, Yang Y, Lin Z. Effects of noisy sounds on human stress using ECG signals: an empirical study. In: Proceedings of the 2015 10th international conference on information, communications and signal processing (ICICS). Singapore: IEEE; 2015.

  36. Björ B, Burström L, Karlsson M, Nilsson T, Näslund U, Wiklund U. Acute effects on heart rate variability when exposed to hand transmitted vibration and noise. Int Arch Occup Environ health. 2007;81:193–9.

    Article  Google Scholar 

  37. Walker ED, Brammer A, Cherniack MG, Laden F, Cavallari JM. Cardiovascular and stress responses to short-term noise exposures—a panel study in healthy males. Environ Res. 2016;150:391–7.

    Article  CAS  Google Scholar 

  38. Huang J, Deng F, Wu S, Lu H, Hao Y, Guo X. The impacts of short-term exposure to noise and traffic-related air pollution on heart rate variability in young healthy adults. J Expo Sci Environ Epidemiol. 2013;23:559.

    Article  CAS  Google Scholar 

  39. Thayer JF, Yamamoto SS, Brosschot JF. The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. Int J Cardiol. 2010;141:122–31.

    Article  Google Scholar 

  40. Lee G-S, Chen M-L, Wang G-Y. Evoked response of heart rate variability using short-duration white noise. Auton Neurosci. 2010;155:94–7.

    Article  Google Scholar 

  41. Cho W, Hwang S-H, Choi H. The relationship between pure-tone noise and human bio-signal response. Int J Precis Eng Manuf. 2011;12:727–31.

    Article  Google Scholar 

  42. Chen K-H, Aksan N, Anderson SW, Grafft A, Chapleau MW. Habituation of parasympathetic-mediated heart rate responses to recurring acoustic startle. Front Psychol. 2014;5:1288.

    Article  Google Scholar 

  43. Ising H, Michalak R. Stress effects of noise in a field experiment in comparison to reactions to short term noise exposure in the laboratory. Noise Health. 2004;6:1.

    Google Scholar 

  44. Jarrin DC, McGrath JJ, Giovanniello S, Poirier P, Lambert M. Measurement fidelity of heart rate variability signal processing: the devil is in the details. Int J Psychophysiol. 2012;86:88–97.

    Article  Google Scholar 

  45. Heathers J, Goodwin M. LF/HF HRV: the ‘Life After Death’ of a refuted theory. http://osf.io/3pd5k. 2017.

  46. Doberenz S, Roth WT, Wollburg E, Maslowski NI, Kim S. Methodological considerations in ambulatory skin conductance monitoring. Int J Psychophysiol. 2011;80:87–95.

    Article  Google Scholar 

  47. Buteau S, Goldberg MS. A structured review of panel studies used to investigate associations between ambient air pollution and heart rate variability. Environ Res. 2016;148:207–47.

    Article  CAS  Google Scholar 

  48. Jiao K, Li Z, Chen M, Wang C, Qi S. Effect of different vibration frequencies on heart rate variability and driving fatigue in healthy drivers. Int Arch Occup Environ health. 2004;77:205–12.

    Article  Google Scholar 

  49. Young FL, Leicht AS. Short-term stability of resting heart rate variability: influence of position and gender. Appl Physiol Nutr Metab. 2011;36:210–8.

    Article  Google Scholar 

  50. Wallenius MA. The interaction of noise stress and personal project stress on subjective health. J Environ Psychol. 2004;24:167–77.

    Article  Google Scholar 

  51. Hautala AJ, Karjalainen J, Kiviniemi AM, Kinnunen H, Mäkikallio TH, Huikuri HV, et al. Physical activity and heart rate variability measured simultaneously during waking hours. Am J Physiol Heart Circ Physiol. 2010;298:H874–H80.

    Article  CAS  Google Scholar 

  52. Herman Hansen B, Børtnes I, Hildebrand M, Holme I, Kolle E, Anderssen SA. Validity of the ActiGraph GT1M during walking and cycling. J Sports Sci. 2014;32:510–6.

    Article  Google Scholar 

  53. Can A, Michel S, De Coensel B, Ribeiro C, Botteldooren D, Lavandier C. Comparison of noise indicators in an urban context. In: INTER-NOISE and NOISE-CON congress and conference proceedings. Hamburg, Germany: Institute of Noise Control Engineering; 2016.

  54. Leventhall H. Low frequency noise and annoyance. Noise Health. 2004;6:59.

    CAS  Google Scholar 

  55. Rylander R. Physiological aspects of noise-induced stress and annoyance. J Sound Vib. 2004;277:471–8.

    Article  Google Scholar 

  56. Westman JC, Walters JR. Noise and stress: a comprehensive approach. Environ Health Perspect. 1981;41:291.

    Article  CAS  Google Scholar 

  57. Moskowitz DS, Young SN. Ecological momentary assessment: what it is and why it is a method of the future in clinical psychopharmacology. J Psychiatry Neurosci. 2006;31:13.

    Google Scholar 

Download references

Acknowledgements

The RECORD MultiSensor Study was supported by the Ministry of Ecology (DGITM); Cerema (Centre for the Study of and Expertise on Risks, the Environment, Mobility, and Planning); INPES (National Institute for Prevention and Health Education); STIF (Ile-de-France Transportation Authority); and DRIEA (Regional and Interdepartmental Direction of Equipment and Planning) of Ile-de-France.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tarik El Aarbaoui.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

El Aarbaoui, T., Chaix, B. The short-term association between exposure to noise and heart rate variability in daily locations and mobility contexts. J Expo Sci Environ Epidemiol 30, 383–393 (2020). https://doi.org/10.1038/s41370-019-0158-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41370-019-0158-x

Keywords

This article is cited by

Search

Quick links