A study of noise exposure and hearing loss among workers at a manufacturing industry / Syahida Kamila A Wahab
Excessive noise exposure to the workers at the workplace leads to noise-induced hearing loss (NIHL). Trimming and cutting the panels, repairing defected tools and others were the activities that produced high noise levels in the composite components manufacturing. A comparative cross-sectional study...
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2010
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my-uitm-ir.706312024-02-06T05:26:31Z A study of noise exposure and hearing loss among workers at a manufacturing industry / Syahida Kamila A Wahab 2010 A Wahab, Syahida Kamila Manufacturing industries Noise pollution. Noise and its control Excessive noise exposure to the workers at the workplace leads to noise-induced hearing loss (NIHL). Trimming and cutting the panels, repairing defected tools and others were the activities that produced high noise levels in the composite components manufacturing. A comparative cross-sectional study has been carried out to determine the relationship between noise exposures and hearing loss in 30 exposed workers and30 unexposed workers (n=60). Respondents were selected by stratified random sampling. Noise mapping was done by using sound Digital Impulse Sound Level Meter(D-1405E & D-1422C) Type 2A. Time-weighted average (TWA of ·a-hour) personal noise exposures were obtained by using Noise Dosimeter (EDGE Models eg. 3 and eg.4). A standardized audiometric procedure was done under full supervision of OSH Doctor. 2010 Thesis https://ir.uitm.edu.my/id/eprint/70631/ https://ir.uitm.edu.my/id/eprint/70631/1/70631.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Health Sciences Masngut, Mohd lzwan |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Masngut, Mohd lzwan |
| topic |
Manufacturing industries Manufacturing industries |
| spellingShingle |
Manufacturing industries Manufacturing industries A Wahab, Syahida Kamila A study of noise exposure and hearing loss among workers at a manufacturing industry / Syahida Kamila A Wahab |
| description |
Excessive noise exposure to the workers at the workplace leads to noise-induced hearing loss (NIHL). Trimming and cutting the panels, repairing defected tools and others were the activities that produced high noise levels in the composite components manufacturing. A comparative cross-sectional study has been carried out to determine the relationship between noise exposures and hearing loss in 30 exposed workers and30 unexposed workers (n=60). Respondents were selected by stratified random sampling. Noise mapping was done by using sound Digital Impulse Sound Level Meter(D-1405E & D-1422C) Type 2A. Time-weighted average (TWA of ·a-hour) personal noise exposures were obtained by using Noise Dosimeter (EDGE Models eg. 3 and eg.4). A standardized audiometric procedure was done under full supervision of OSH Doctor. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
A Wahab, Syahida Kamila |
| author_facet |
A Wahab, Syahida Kamila |
| author_sort |
A Wahab, Syahida Kamila |
| title |
A study of noise exposure and hearing loss among workers at a manufacturing industry / Syahida Kamila A Wahab |
| title_short |
A study of noise exposure and hearing loss among workers at a manufacturing industry / Syahida Kamila A Wahab |
| title_full |
A study of noise exposure and hearing loss among workers at a manufacturing industry / Syahida Kamila A Wahab |
| title_fullStr |
A study of noise exposure and hearing loss among workers at a manufacturing industry / Syahida Kamila A Wahab |
| title_full_unstemmed |
A study of noise exposure and hearing loss among workers at a manufacturing industry / Syahida Kamila A Wahab |
| title_sort |
study of noise exposure and hearing loss among workers at a manufacturing industry / syahida kamila a wahab |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Health Sciences |
| publishDate |
2010 |
| url |
https://ir.uitm.edu.my/id/eprint/70631/1/70631.pdf |
| _version_ |
1794191844951719936 |