Questionnaire-based algorithm for assessing occupational noise exposure of construction workers.
OBJECTIVES: Occupational noise exposure is a major cause of hearing loss worldwide. In order to inform preventative strategies, we need to further understand at a population level which workers are most at risk. METHODS: We have developed a new questionnaire-based algorithm that evaluates an individ...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/65724 |
| _version_ | 1848761190535135232 |
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| author | Lewkowski, K. McCausland, K. Heyworth, J. Li, I. Williams, W. Fritschi, Lin |
| author_facet | Lewkowski, K. McCausland, K. Heyworth, J. Li, I. Williams, W. Fritschi, Lin |
| author_sort | Lewkowski, K. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | OBJECTIVES: Occupational noise exposure is a major cause of hearing loss worldwide. In order to inform preventative strategies, we need to further understand at a population level which workers are most at risk. METHODS: We have developed a new questionnaire-based algorithm that evaluates an individual worker's noise exposure. The questionnaire and supporting algorithms are embedded into the existing software platform, OccIDEAS. Based on the tasks performed by a worker during their most recent working shift and using a library of task-based noise exposure levels, OccIDEAS estimates whether a worker has exceeded the full-shift workplace noise exposure limit (LAeq,8h=85 dBA). We evaluated the validity of the system in a sample of 100 construction workers. Each worker wore a dosimeter for a full working shift and was then interviewed using the OccIDEAS software. RESULTS: The area under the receiver operating characteristic curve was 0.81 (95% CI 0.72 to 0.90) indicating that the ability of OccIDEAS to identify construction workers with an LAeq,8h=85 dBA was excellent. CONCLUSION: This validated noise questionnaire may be useful in epidemiological studies and for workplace health and safety applications. |
| first_indexed | 2025-11-14T10:27:44Z |
| format | Journal Article |
| id | curtin-20.500.11937-65724 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:27:44Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-657242020-06-02T02:06:35Z Questionnaire-based algorithm for assessing occupational noise exposure of construction workers. Lewkowski, K. McCausland, K. Heyworth, J. Li, I. Williams, W. Fritschi, Lin OBJECTIVES: Occupational noise exposure is a major cause of hearing loss worldwide. In order to inform preventative strategies, we need to further understand at a population level which workers are most at risk. METHODS: We have developed a new questionnaire-based algorithm that evaluates an individual worker's noise exposure. The questionnaire and supporting algorithms are embedded into the existing software platform, OccIDEAS. Based on the tasks performed by a worker during their most recent working shift and using a library of task-based noise exposure levels, OccIDEAS estimates whether a worker has exceeded the full-shift workplace noise exposure limit (LAeq,8h=85 dBA). We evaluated the validity of the system in a sample of 100 construction workers. Each worker wore a dosimeter for a full working shift and was then interviewed using the OccIDEAS software. RESULTS: The area under the receiver operating characteristic curve was 0.81 (95% CI 0.72 to 0.90) indicating that the ability of OccIDEAS to identify construction workers with an LAeq,8h=85 dBA was excellent. CONCLUSION: This validated noise questionnaire may be useful in epidemiological studies and for workplace health and safety applications. 2017 Journal Article http://hdl.handle.net/20.500.11937/65724 10.1136/oemed-2017-104381 restricted |
| spellingShingle | Lewkowski, K. McCausland, K. Heyworth, J. Li, I. Williams, W. Fritschi, Lin Questionnaire-based algorithm for assessing occupational noise exposure of construction workers. |
| title | Questionnaire-based algorithm for assessing occupational noise exposure of construction workers. |
| title_full | Questionnaire-based algorithm for assessing occupational noise exposure of construction workers. |
| title_fullStr | Questionnaire-based algorithm for assessing occupational noise exposure of construction workers. |
| title_full_unstemmed | Questionnaire-based algorithm for assessing occupational noise exposure of construction workers. |
| title_short | Questionnaire-based algorithm for assessing occupational noise exposure of construction workers. |
| title_sort | questionnaire-based algorithm for assessing occupational noise exposure of construction workers. |
| url | http://hdl.handle.net/20.500.11937/65724 |