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Noise-induced hearing loss (NIHL) has become a global public health problem, and the economic burden of hearing loss caused by noise exposure accounts for 19.6% of the economic burden of all risk factors in the workplace (1). The prevalence of occupational NIHL was estimated to be 10% in relevant occupational population in developed countries and 17%–39% (e.g., textile and petrochemical industries), and 53%–67% (e.g., cement and automobile industries) in developing countries in Asia, respectively. (2). In China, occupational noise-induced deafness has become the second primary occupational disease after pneumoconiosis, with the number of reported cases increasing at an average annual rate of 18.68% from 2010 to 2019 (3-4). The prevalence of occupational NIHL in the Chinese occupational population was 21.3%, of which 30.2% was related to high-frequency NIHL (an early sign of NIHL) (2).
Controlling the risk of hearing loss is critical for protecting workers’ hearing health and noise exposure measurement and assessment are crucial links within these efforts. At present, workers are often widely exposed to non-steady noise in occupational environments (5). The important difference between steady-state and non-steady noise is the energy distribution (temporal structure), i.e., the former is statistically normal, and the latter is non-normal and time-varying. Animal and human data show that the temporal structure of noise is a risk factor for NIHL (6). Presently, applying noise’s temporal structure to quantitative measurement and evaluation of industrial noise has made some progress, but there are few reports on the relevant review. The aim of present paper is thus to review the research progress of measuring and assessing workplace non-steady noise based on the temporal structure of noise.
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This study’s definition of non-steady noise is defined as transient high-energy impulsive noise superimposed on Gaussian background noise (5,7), which differs from the traditional definition (based on noise energy). In the traditional definition, non-steady noise is noise with a fluctuation greater than 3dB(A) determined by the sound level meter with a “slow” dynamic characteristic during the measuring time (8-9), which fails to reflect the temporal structure of non-steady noise.
Measuring the following parameters for the temporal structure of single impulse noise is usually standard when evaluating noise: peak pressure, interpeak interval, and pulse duration (10). Kurtosis, sensitive to and primarily determined by these three above variables, can quantify the impulsiveness of complex noise and is much more practical as a specific metric for the temporal structure of complex noise (6,11-12). It can quantify the noise signal’s complexity (6,13).
Kurtosis is a statistical measure of extreme values or outliers relative to a normal distribution (11). The calculation formula is following:
$$ \beta = \dfrac{{\dfrac{1}{n}\sum\limits_{i = 1}^n {{{\left( {x_i - \bar x} \right)}^4}} }}{{{{\left[ {\dfrac{1}{n}\sum\limits_{i = 1}^n {{{\left( {x_i - {\text{x}}} \right)}^2}} } \right]}^2}}} $$ (1) where β is the kurtosis, xi is the ith value of noise amplitude, and
$ \overline x $ is the sample mean. Kurtosis describes the tendency for a sound to have high amplitude events that depart substantially from underlying, continuous, steady-state noise. It should be noted that kurtosis has high sampling variability since the length of intervals over which kurtosis is determined can affect the outcome (14-15). In practice, the kurtosis of the recorded noise signal is usually computed over consecutive 60-second time windows (without overlap) over the whole measurement duration using a sampling rate of 48 kHz for noise recordings (16).Figure 1A shows a sample of a steady-state noise, i.e., a flat waveform with a kurtosis value of 3. Figure 1B illustrates an example of a non-steady noise, i.e., a Gaussian background noise punctuated by a temporally complex series of randomly occurring, high-level, impulsive/impact noise transients. The noise waveform and kurtosis of different work types are unique, providing a practical approach for identifying different types of industrial noise (6).
Figure 1.Waveforms (left) and amplitude probabilities (right) from two industrial noises: (A) steady-state noise; (B) non-steady (complex) noise. Red lines, background Gaussian noise probabilities.
Abbreviation: Leq=equivalent sound pressure level; Lpeak=peak sound pressure level; SPL=sound pressure level. -
Currently, there are two adjustment protocols, one is to adjust the noise exposure level (e.g., LEX,8 h or LEX,40 h) (6,28), and another is to adjust the exposure duration in CNE (6,28-31). However, due to the ambiguity of the relationship between CNE and NIPTS, and the uncertainty of exposure duration for workers whose jobs change frequently, it is not recommended to adjust the exposure duration in CNE in practice. Instead, an adjustment protocol for noise intensity is preferable (28).
The adjustment protocol applies kurtosis to adjust the noise intensity based on Goley’s protocol from animal data (32). The formula is as follows:
$$ {{\text{L}}}_{{\text{EX}},8\;{\text{h}}}\text{-K=}{{\text{L}}}_{{\text{EX}},8\;{\text{h}}}+\lambda \times \text{lg(}{\beta }_{N}/3) $$ (2) In the formula, βN is the kurtosis value of the noise measured; LEX,8 h-K is kurtosis-adjusted LEX,8 h; and λ is the adjustment coefficient obtained from the dose-effect relationship between noise exposure and hearing loss. The λ value is recommended as 6.5 based on human data (6,28). The LEX,8 h-K can be calculated as follows:
$$ {{\text{L}}}_{{\text{EX}},8\;{\text{h}}}\text{-K=}{{\text{L}}}_{{\text{EX}},8\;{\text{h}}}+6.5\times \lg({\beta }_{N}/3) $$ (3) where βN is the average kurtosis value of noise during measurement duration. For example, when βN is 30, the LEX,8 h or LEX,40 h increases by 6.5 dB(A). After the adjustment of LEX,8 h by kurtosis, this study found that the underestimation of NIPTS346 by ISO 1999 improved significantly (less than 1.23 dB HL) (6).
Currently, ISO 1999:2013 “Acoustics-Estimation of Noise-Induced Hearing Loss” is being revised based on the adjusting protocol. The National Institute of Occupational Health and Poisoning Control: Chinese Center for Disease Control and Prevention is carrying out the preliminary research project “Kurtosis Based Occupational Noise Exposure Limit and Measurement Standard Revision” on occupational health standards.
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