A Quantitative Analysis of Kurtosis Impact on Occupational Complex Noise‐Induced Hearing Loss

峰度 噪声性听力损失 听力损失 噪音(视频) 工业噪声 医学 公制(单位) 听力学 统计 噪声暴露 计算机科学 数学 工程类 人工智能 运营管理 图像(数学)
作者
Wei Gong,David C. Byrne,Christa L. Themann,H. Amy Feng
出处
期刊:American Journal of Industrial Medicine [Wiley]
标识
DOI:10.1002/ajim.70021
摘要

Workers in industry settings are often exposed to complex noise, which poses a greater risk to hearing loss than continuous noise at equivalent energy levels. Previous studies have identified kurtosis as an essential metric for evaluating complex noise-induced hearing loss (NIHL). This study aimed to characterize the distribution of workers exposed to complex noise, examine the associations between kurtosis and changes in hearing thresholds at various frequencies, and explore kurtosis's role in estimating NIHL and its integration into occupational hearing loss prevention programs. The study quantitatively analyzed data from 2400 workers exposed to industrial complex noise and 1520 non-noise-exposed workers in China. Both arithmetic and geometric average kurtosis were used to characterize the work-shift noise records. Linear regression models assessed noise-induced permanent threshold shift (NIPTS) across different frequency ranges. For workers exposed to average noise levels between 80 and 92 dBA, increased kurtosis levels correlated with worsening NIPTS across frequencies from 0.5 to 8 kHz. However, the impact of kurtosis at lower noise exposure levels (70-79 dBA) remains uncertain. Kurtosis is crucial for predicting hearing loss among workers exposed to complex noise at average levels of 85 and 90 dBA. The findings have potential implications for occupational safety and health, particularly for the recruitment of workers into hearing loss prevention programs. Further risk assessment analysis could use the noise kurtosis metric to examine the excess risk of NIHL associated with complex noise exposure.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
阳光无春发布了新的文献求助10
刚刚
义气的凛发布了新的文献求助10
1秒前
2秒前
发嗲的含芙完成签到 ,获得积分10
3秒前
卡比兽发布了新的文献求助10
3秒前
3秒前
呀y完成签到,获得积分10
6秒前
量子星尘发布了新的文献求助10
7秒前
神内小天使完成签到,获得积分10
7秒前
大蛋儿发布了新的文献求助10
7秒前
7秒前
大个应助烤麸采纳,获得10
8秒前
9秒前
curious5完成签到,获得积分10
10秒前
11秒前
12秒前
帅气的小翟完成签到,获得积分10
12秒前
ding应助英俊不凡采纳,获得10
12秒前
13秒前
浮游应助李若水采纳,获得10
13秒前
爱听歌的寄云完成签到 ,获得积分10
14秒前
curious5发布了新的文献求助10
16秒前
善学以致用应助wzg666采纳,获得10
18秒前
星辰于我给星辰于我的求助进行了留言
19秒前
20秒前
传奇3应助甜欣028采纳,获得10
20秒前
21秒前
jiangking完成签到,获得积分10
21秒前
21秒前
善学以致用应助阳光无春采纳,获得50
22秒前
23秒前
jiangking发布了新的文献求助10
24秒前
LTJ完成签到,获得积分10
25秒前
彳亍完成签到,获得积分10
25秒前
25秒前
量子星尘发布了新的文献求助10
25秒前
26秒前
小蘑菇应助怕热除铁采纳,获得10
26秒前
英俊不凡发布了新的文献求助10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Zeolites: From Fundamentals to Emerging Applications 1500
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Handbook of Social and Emotional Learning, Second Edition 900
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4922901
求助须知:如何正确求助?哪些是违规求助? 4193466
关于积分的说明 13025022
捐赠科研通 3965301
什么是DOI,文献DOI怎么找? 2173277
邀请新用户注册赠送积分活动 1190915
关于科研通互助平台的介绍 1100393