Modeling effect of five big personality traits on noise sensitivity and annoyance

Moghadam, Seyedeh Melika Kharghani; Alimohammadi, Iraj; Taheri, Ehsan; Rahimi, Jamshid; Bostanpira, Farahnaz; Rahmani, Negar; Abedi, Kamaladdin; Ebrahimi, Hossein

doi:10.1016/j.apacoust.2020.107655

Cited by 19 publications

(11 citation statements)

References 15 publications

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“…No subjects had past medical history of CDs and all subjects had normal basic hearing. Before the experiment, noise sensitivity of all subjects were collected by the Weinstein Noise Sensitivity scale ( Zhong et al, 2018 ; Moghadam et al, 2021 ), noise sensitivity grouping was performed according to the scale score. And cluster analysis revealed a noise sensitivity grouping value of 69 points ( p = 0.000).…”

Section: Methodsmentioning

confidence: 99%

Experimental Study on the Effect of Urban Road Traffic Noise on Heart Rate Variability of Noise-Sensitive People

Wang

et al. 2022

Front. Psychol.

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Epidemiological studies have confirmed that long-term exposure to road traffic noise can cause cardiovascular diseases (CDs), and when noise exposure reaches a certain level, the risk of related CDs significantly increases. Currently, a large number of Chinese residents are exposed to high noise exposure, which could greatly increase the risk of cardiovascular disease. On the other hand, relevant studies have found that people with high noise sensitivity are more susceptible to noise. And it is necessary to pay more attention to the high noise-sensitive people. This study investigated the acute physiological effect of different noise-sensitive groups by indoor-level noise stimulus experiments under laboratory conditions, by observing heart rate variability (HRV) indicators, including standard deviation of NN intervals (SDNN), low frequency/high frequency (LF/HF), and heart rate (HR). The results showed that (a) there was no significant difference in HRV between the high-sensitive group and the low-sensitive group at the physiological baseline and the different stimulating noise levels. (b) Then, based on the theory of cumulative effect of noise proposed by WHO Regional Office for Europe, non-significant but observable differences between groups were further discussed. By analyzing differences of the variation trends and the within-group significant changes of SDNN and HR between the two groups, the results tended to show that the high-sensitive group is more affected by road traffic noise. In addition, the values of SDNN and HR showed observable between-group differences at 55 dB (A) and 65 dB (A) which corresponding to the SPL associated with a significantly increased risk of cardiovascular disease concerned by epidemiological studies. According to the cumulative effect theory (WHO), these differences in HRV caused by short-term noise stimulation may have the potential to produce physiological response and lead to between-groups differences in prevalence after long-term recurrent effect, and deserve attention and further research.

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Section: Methodsmentioning

confidence: 99%

Experimental Study on the Effect of Urban Road Traffic Noise on Heart Rate Variability of Noise-Sensitive People

Wang

et al. 2022

Front. Psychol.

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“…Leq (Das et al, 2021). Similarly, Moghadam et al (2021) predicted annoyance and sensitivity by considering five big personality traits using SEM-ANN approach (Moghadam et al 2021). Ramakrishna et al (2021) developed prediction model for Leq using Multi-Layer Regression (MLR) and an ANN model (Ramakrishna et al, 2021).…”

Section: Sem Is a Popularmachine Learning Technique For Evaluating Ca...mentioning

confidence: 99%

“…Because the formative model is employed in this study, which is widely considered to be error-free, there is no need for an analysis of the factors' reliability and validity. Previously, Moghadam et al (2021) and Fyhri and Aasvang, 2010;Fyhri and Klaeboe, 2009 used this formative model but did not report the parameters due to its error-free nature (Fyhri and Aasvang, 2010;Fyhri and Klaeboe, 2009;Moghadam et al, 2021). ).…”

Section: Analysis Of the Reliability And Validity Of The Factorsmentioning

confidence: 99%

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Prediction of traffic noise induced annoyance of vendors through noise indices using structural equation modeling: Artificial neural network model

Das

Goswami

Das

2022

Environmental Quality Mgmt

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Urbanization and population growth, as well as the movement of diverse vehicles on urban roadways, all contribute to excessive noise in the urban acoustic environment.Annoyance, cardiovascular disease, dementia, hypertension, stress, sleeping problem, irritation, hair-fall, headache, are the most common reported problems due to traffic noise exposure. The "Structural Equation Modeling-Artificial Neural Network Model" was used in the current study to predict traffic noise induced annoyance among 100 vendors whose shops are located from Khandagiri to Baramunda along the National Highway 16 of the smart city Bhubaneswar Odisha. Due to the movement of large number of heavy vehicles as well as medium and light weight vehicles, these roadways remain noisy throughout the day. Moreover, the annoyance questionnaire was developed in compliance with ISO/TS 15666 criteria for assessing annoyance level.The combination of SEM and ANN is rarely seen in acoustics, especially in noise studies. However, in this study, both SEM and ANN are used to predict annoyance using various noise indices. Moreover, the SEM model revealed a significant association between "Equivalent Noise Level" (Leq) and annoyance (p-value = 0.031), "Minimum Noise Level" (LMin) and annoyance (p-value = 0.049), "Background Noise Level" (L 90 ) and annoyance (p-value = 0.047), "Noise Pollution Level" (NPL) and annoyance

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“…Each of the Big Five personality dimensions (neuroticism, extroversion, openness, agreeableness, and conscientiousness) affects human perception of noise sensitivity (Shepherd et al, 2015). Extroversion and neuroticism are the most important factors influencing noise sensitivity and noise annoyance when compared with conscientiousness and openness to experience (Moghadam et al, 2021).…”

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confidence: 99%

On the definition of noise

Liu

Jiang²,

Kang³

et al. 2022

Humanit Soc Sci Commun

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Urbanization has exposed people to extreme sound levels. Although researchers have investigated the ability of people to listen, analyze, and distinguish sound, the concept of noise has not been clearly articulated from a human perspective. The lack of knowledge on how people perceive noise limits our capacity to control it in a targeted manner. This study aimed to interpret the definition of noise from the public perspective based on a grounded theory approach. Seventy-eight participants were interviewed about noise, and four categories of perceived understanding of noise were identified: challenges, definitions of noise, opportunities, and action. As one of the challenges, urbanization is associated with increased noise levels around the human environment. In terms of definition, perceiving sound as noise is considered to be a result of the complex and dynamic process that includes sound, the environment, and humans. Sound and humans interact with the environment. In terms of opportunities, noise may have positive roles on certain occasions, dispelling the misconception that noise is exclusively negative. In addition, we found that noise perception has gradually shifted from noise control to noise utilization. In terms of action, noise can be controlled at the sound sources, susceptible target groups, susceptible behaviors and states, locations, and times where noise is perceived with high frequency. In this study, we investigated several aspects of noise, ranging from noise control, soundscape definition, and ‘soundscape indices’ (SSID) integration and application. Our findings provide an additional basis for developing better definitions, control, and utilization strategies of noise in the future, thereby improving the quality of the sound environment.

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Modeling effect of five big personality traits on noise sensitivity and annoyance

Cited by 19 publications

References 15 publications

Experimental Study on the Effect of Urban Road Traffic Noise on Heart Rate Variability of Noise-Sensitive People

Experimental Study on the Effect of Urban Road Traffic Noise on Heart Rate Variability of Noise-Sensitive People

Prediction of traffic noise induced annoyance of vendors through noise indices using structural equation modeling: Artificial neural network model

On the definition of noise

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