Effects of self-reported sensitivity and road-traffic noise levels on the immune system

Kim, Ahra; Sung, Joo Hyun; Bang, Jin-Hee; Cho, Seung Woo; Lee, Jiho; Sim, Chang Sun

doi:10.1371/journal.pone.0187084

Cited by 36 publications

(29 citation statements)

References 38 publications

(37 reference statements)

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“…In accordance with these reports, a small cohort study revealed that low‐level road traffic noise may affect public health by inducing immunological alterations such as increased levels of IL‐12 and reduction in numbers of natural killer cell populations and activity, all of which was secondary to increased cortisol levels and noise sensitivity of the individuals . In the HUNT and lifelines cohorts ( n = 144,082 subjects), higher daytime road traffic noise [5.1 dB(A)] was associated with a 1.1% increase in high‐sensitivity C‐reactive protein .…”

Section: Environmental Noise Exposure and Inflammationmentioning

confidence: 60%

Environmental noise induces the release of stress hormones and inflammatory signaling molecules leading to oxidative stress and vascular dysfunction—Signatures of the internal exposome

Daiber

Kröller‐Schön²,

Frenis³

et al. 2019

BioFactors

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Environmental noise is a well‐recognized health risk and part of the external exposome—the World Health Organization estimates that 1 million healthy life years are lost annually in Western Europe alone due to noise‐related complications, including increased incidence of hypertension, heart failure, myocardial infarction, and stroke. Previous data suggest that noise works through two paired pathways in a proposed reaction model for noise exposure. As a nonspecific stressor, chronic low‐level noise exposure can cause a disruption of sleep and communication leading to annoyance and subsequent sympathetic and endocrine stress responses leading to increased blood pressure, heart rate, stress hormone levels, and in particular more oxidative stress, being responsible for vascular dysfunction and representing changes of the internal exposome. Chronic stress generates cardiovascular risk factors on its own such as increased blood pressure, blood viscosity, blood glucose, and activation of blood coagulation. To this end, persistent chronic noise exposure increases cardiometabolic diseases, including arterial hypertension, coronary artery disease, arrhythmia, heart failure, diabetes mellitus type 2, and stroke. The present review discusses the mechanisms of the nonauditory noise‐induced cardiovascular and metabolic consequences, focusing on mental stress signaling pathways, activation of the hypothalamic–pituitary–adrenocortical axis and sympathetic nervous system, the association of these activations with inflammation, and the subsequent onset of oxidative stress and vascular dysfunction. © 2019 BioFactors, 45 (4):495–506, 2019

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Section: Environmental Noise Exposure and Inflammationmentioning

confidence: 60%

Environmental noise induces the release of stress hormones and inflammatory signaling molecules leading to oxidative stress and vascular dysfunction—Signatures of the internal exposome

Daiber

Kröller‐Schön²,

Frenis³

et al. 2019

BioFactors

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“…Regarding the evaluation of low-level sounds, our models revealed the expected significant positive effects of perceived loudness on annoyance perception. However, the effect size of loudness was oftentimes smaller than that of non-auditory variables (Job, 1996;Kim et al, 2017;World Health Organization, 2018), which might be a result of the study design's focusing on low-level sounds. A significant loudness-dependent difference in annoyance mean values was indeed observed for the three macro-level sound categories (natural, human, and technical).…”

Section: Resultsmentioning

confidence: 99%

“…They also reported on the number of Persons living in the household (1 to "6 or more") and their household's monthly disposable Net Income (German Federal Statistical Office, 2018). Moreover, since the person-related factors Extraversion, Neuroticism, and Noise Sensitivity have shown associations with sound evaluations in previous studies (Fields, 1993;Job, 1996;Lercher, 1996;Schreckenberg et al, 2010;Hill et al, 2014;Shepherd et al, 2015;Kim et al, 2017), we obtained those factors using the German 10 Item Big Five Inventory (BFI-10; Rammstedt and John, 2007;Rammstedt et al, 2012) and a nine-item Noise Sensitivity questionnaire ("Kurzform des Fragebogens zur Lärmempfindlichkeit, " LEF-K, developed by Zimmer and Ellermeier, 1998). Participants also answered the question "Are you generally able to mentally fade out sounds (even loud ones)?"…”

Section: Person-related Variablesmentioning

confidence: 99%

“…Previous research on soundscape perception and reactions to noise has identified several influencing factors related to sound, situation, and perception. Besides exposure level (Wolsink et al, 1993;Basner et al, 2014;Guski et al, 2017), these factors include many non-auditory variables, such as sensitivity to noise (Fields, 1993;Job, 1996;Schreckenberg et al, 2010;Hill et al, 2014;Shepherd et al, 2015;Park et al, 2016;Kim et al, 2017), extraversion and neuroticism with contradictory evidence for the relevance of this factor (Lercher, 1996), attitude toward the source or the authorities that operate the sound source (Stallen, 1999;Job et al, 2007;Kroesen et al, 2008), perceived disturbance (Stallen, 1999;Kroesen et al, 2008), fear of the noise source (Miedema and Vos, 1999), and the failure to cope with the environment which leads to stress (Guski, 1999). Many objective situational variables, including the presence of other people, the location of the perceiver, the sound insulation of dwellings, the visibility of the source, economic benefit through the source, exposure time, or ambient noise level (Fields, 1993;Wolsink et al, 1993;Bangjun et al, 2003;Janssen et al, 2011;Steffens et al, 2017) have also been identified as relevant factors.…”

Section: Introductionmentioning

confidence: 99%

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Modeling Evaluations of Low-Level Sounds in Everyday Situations Using Linear Machine Learning for Variable Selection

et al. 2020

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Human sound evaluations not only depend on the characteristics of the sound but are also driven by factors related to the listener and the situation. Our research aimed to investigate crucial factors influencing the perception of low-level sounds as theyin addition to the often-researched loud-level sounds-might be decisive to people's quality of life and health. We conducted an online study in which 1,301 participants reported on up to three everyday situations in which they perceived low-level sounds, resulting in a total of 2,800 listening situations. Participants rated the sounds' perceived loudness, timbre, and tonality. Additionally, they described the listening situations employing situational eight dimensions and reported their affective states. All sounds were then assigned to the categories natural, human, and technical. Linear models suggest a significant difference of annoyance ratings across sound categories for binary loudness levels. The ability to mentally fade-out sound was the most crucial situational variable after valence, arousal, and the situation dimensions positivity and negativity. We ultimately selected the most important factors from a large number of independent variables by applying the percentile least absolute shrinkage and selection operator (Lasso) regularization method. The resulting linear regression showed that this novel machine-learning variable-selection technique is applicable in hypothesis testing of noise effects and soundscape research. The typical problems of overfitting and multicollinearity that occur when many situational and personal variables are involved were overcome. This study provides an extensive database of evaluated everyday sounds and listening situations, offering an enormous test power. Our machine learning approach, whose application leads to comprehensive models for the prediction of sound perception, is available for future study designs aiming to model sound perception and evaluation.

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“…Normally, patients with existing clinical conditions are sensitive to noise exposure and less sleep quality and quantity can endanger patients [6]. Children exposed to very high road traffic noise level tend to get abnormal blood pressure [7]. The relationship between environment noise and public health is perhaps the most significant reason why environment noise has emerged as a major issue in scientific community.…”

mentioning

confidence: 99%

Comparison of Road Traffic Noise at Residential Areas in Klang Valley, Selangor and Nibong Tebal, Penang

Nor¹

2019

IJIE

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Effects of self-reported sensitivity and road-traffic noise levels on the immune system

Cited by 36 publications

References 38 publications

Environmental noise induces the release of stress hormones and inflammatory signaling molecules leading to oxidative stress and vascular dysfunction—Signatures of the internal exposome

Environmental noise induces the release of stress hormones and inflammatory signaling molecules leading to oxidative stress and vascular dysfunction—Signatures of the internal exposome

Modeling Evaluations of Low-Level Sounds in Everyday Situations Using Linear Machine Learning for Variable Selection

Comparison of Road Traffic Noise at Residential Areas in Klang Valley, Selangor and Nibong Tebal, Penang

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