Literature DB >> 15490475

Surveillance of occupational noise exposures using OSHA's Integrated Management Information System.

Paul J Middendorf1.   

Abstract

BACKGROUND: Exposure to noise has long been known to cause hearing loss, and is an ubiquitous problem in workplaces. Occupational noise exposures for industries stored in the Occupational Safety and Health Administration's (OSHA) Integrated Management Information System (IMIS) can be used to identify temporal and industrial trends of noise exposure to anticipate changes in rates of hearing loss.
METHODS: The noise records in OSHA's IMIS database for 1979-1999 were extracted by major industry division and measurement criteria. The noise exposures were summarized by year, industry, and employment size.
RESULTS: The majority of records are from Manufacturing and Services. Exposures in Manufacturing and Services have decreased during the period, except that PEL exposures measured by federal enforcement increased from 1995 to 1999.
CONCLUSIONS: Noise exposures in manufacturing have been reduced since the late 1970s, except those documented by federal enforcement. Noise exposure data outside manufacturing is not well represented in IMIS. Copyright 2004 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2004        PMID: 15490475     DOI: 10.1002/ajim.20092

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  10 in total

1.  Noise exposure and hearing loss prevention programmes after 20 years of regulations in the United States.

Authors:  W E Daniell; S S Swan; M M McDaniel; J E Camp; M A Cohen; J G Stebbins
Journal:  Occup Environ Med       Date:  2006-03-21       Impact factor: 4.402

2.  Methods for evaluating temporal trends in noise exposure.

Authors:  R L Neitzel; D Galusha; C Dixon-Ernst; P M Rabinowitz
Journal:  Int J Audiol       Date:  2014-03       Impact factor: 2.117

3.  Workplace measurements by the US Occupational Safety and Health Administration since 1979: descriptive analysis and potential uses for exposure assessment.

Authors:  J Lavoue; M C Friesen; I Burstyn
Journal:  Ann Occup Hyg       Date:  2012-09-05

4.  The prevalence of selected potentially hazardous workplace exposures in the US: findings from the 2010 National Health Interview Survey.

Authors:  Geoffrey M Calvert; Sara E Luckhaupt; Aaron Sussell; James M Dahlhamer; Brian W Ward
Journal:  Am J Ind Med       Date:  2012-07-20       Impact factor: 2.214

5.  Meta-analysis of job-exposure matrix data from multiple sources.

Authors:  Wenting Cheng; Benjamin Roberts; Bhramar Mukherjee; Richard L Neitzel
Journal:  J Expo Sci Environ Epidemiol       Date:  2017-10-04       Impact factor: 5.563

6.  Modifiable determinants of hearing impairment in adults.

Authors:  Weihai Zhan; Karen J Cruickshanks; Barbara E K Klein; Ronald Klein; Guan-Hua Huang; James S Pankow; Ronald E Gangnon; Theodore S Tweed
Journal:  Prev Med       Date:  2011-08-17       Impact factor: 4.018

7.  Generational differences in the prevalence of hearing impairment in older adults.

Authors:  Weihai Zhan; Karen J Cruickshanks; Barbara E K Klein; Ronald Klein; Guan-Hua Huang; James S Pankow; Ronald E Gangnon; Theodore S Tweed
Journal:  Am J Epidemiol       Date:  2009-12-15       Impact factor: 4.897

8.  Subjective and clinically assessed hearing loss; a cross-sectional register-based study on a swedish population aged 18 through 50 years.

Authors:  Pernilla Videhult Pierre; Ann-Christin Johnson; Anders Fridberger
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

Review 9.  Occupational Health and Safety Statistics as an Indicator of Worker Physical Health in South African Industry.

Authors:  Oscar Rikhotso; Thabiso John Morodi; Daniel Masilu Masekameni
Journal:  Int J Environ Res Public Health       Date:  2022-02-01       Impact factor: 3.390

10.  Self-reported hearing difficulties, main income sources, and socio-economic status; a cross-sectional population-based study in Sweden.

Authors:  Pernilla Videhult Pierre; Anders Fridberger; Anders Wikman; Kristina Alexanderson
Journal:  BMC Public Health       Date:  2012-10-15       Impact factor: 3.295

  10 in total

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