Workforce Diversity and Occupational Hearing Health

IF 1.8 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Safety Pub Date : 2023-04-13 DOI:10.3390/safety9020023
David W. Nadler
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引用次数: 0

Abstract

Hearing loss is one of the more common occupation health hazards across the globe yet is preventable. Extensive research has been done across a number of industries measuring the magnitude and frequency of hearing impairment. This study uses the National Health and Nutrition Examination Survey data to analyze hearing impairment in the United States. Regression and structural equation models were developed utilizing this publicly available data. A statistically significant correlation exists between general hearing condition and ethnicity, χ2 (30, N = 8897) = 264.817, p < 0.001. A statistically significant correlation exists in this database between general hearing condition and gender, χ2 (6, N = 8897) = 40.729, p < 0.001. An ordinal logistic regression was significant between the general health and ethnicity, χ2 (30, N = 5968) = 212.123, p < 0.001. A structural equation model presents the first of its type for this area of research. Focusing on addressing diversity issues may be the foundation for hearing health improvement. Tools such as smartphone apps may be useful for tracking hearing loss within the workforce.
劳动力多样性与职业听力健康
听力损失是全球范围内最常见的职业健康危害之一,但却是可以预防的。许多行业都对听力损伤的程度和频率进行了广泛的研究。这项研究使用美国国家健康和营养检查调查数据来分析美国的听力损伤。回归和结构方程模型是利用这些公开可用的数据开发的。一般听力状况与种族之间存在统计学显著相关性,χ2(30,N=8897)=264.817,p<0.001。在该数据库中,一般听力状况与性别之间存在统计学显著相关性,χ2(6,N=8897)=40.729,p<0.001。总体健康和种族之间的有序逻辑回归显著,χ2(30,N=5968)=212.123,p<0.001。结构方程模型是这一研究领域的第一个此类模型。专注于解决多样性问题可能是改善听力健康的基础。智能手机应用程序等工具可能有助于追踪员工的听力损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Safety
Safety Social Sciences-Safety Research
CiteScore
3.20
自引率
5.30%
发文量
71
审稿时长
7 weeks
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