Literature DB >> 21053386

Predictors of use of hearing protection among a representative sample of farmers.

M C McCullagh1, D L Ronis, S L Lusk.   

Abstract

Farmers experience higher rates of noise-induced hearing loss (NIHL) than workers in most other industries. We developed a model of farmers' use of hearing protection, and tested it with a random sample (n = 532) of farmers from the upper Midwest. Barriers to using hearing protection (e.g., difficulty communicating; OR = .44, p < .003) were negatively related to use. Greater access/availability of hearing protectors (OR = 1.75, p < .010) and male gender (OR = .43, p < .019) were positively related to use. The model correctly predicted use of hearing protection for 74% of the cases. Overall, farmers demonstrated low hearing protector use, and results were similar to those from previous studies of non-farm workers. Findings from this study will be useful in designing interventions to increase farmers' hearing protector use and decrease their rates of NIHL.
Copyright © 2010 Wiley Periodicals, Inc.

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Year:  2010        PMID: 21053386     DOI: 10.1002/nur.20410

Source DB:  PubMed          Journal:  Res Nurs Health        ISSN: 0160-6891            Impact factor:   2.228


  10 in total

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5.  Towards a Holistic Model Explaining Hearing Protection Device Use among Workers.

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6.  Effects of interventions on use of hearing protectors among farm operators: A randomized controlled trial.

Authors:  Marjorie C McCullagh; Tanima Banerjee; Michael A Cohen; James J Yang
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8.  A Preliminary Study of a Spanish Graphic Novella Targeting Hearing Loss Prevention.

Authors:  Mark Guiberson; Emily Wakefield
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9.  Protocol of a randomized controlled trial of hearing protection interventions for farm operators.

Authors:  Marjorie C McCullagh; David L Ronis
Journal:  BMC Public Health       Date:  2015-04-18       Impact factor: 3.295

10.  Gender differences in use of hearing protection devices among farm operators.

Authors:  Marjorie C McCullagh; Tanima Banerjee; James J Yang; Janice Bernick; Sonia Duffy; Richard Redman
Journal:  Noise Health       Date:  2016 Nov-Dec       Impact factor: 0.867

  10 in total

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