2014
DOI: 10.4314/njt.v34i1.9
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Assessment of Noise Pollution From Sawmill Activities in Ilorin, Nigeria

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Cited by 12 publications
(10 citation statements)
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“…This indicates that majority (90.6%) of the sampled respondents were between the age of 20 and 49 years (economic active age). This is in support of Aremu et al (2015) that about 80% of the respondents under study fall within the active age groups of 14-57 years.…”
Section: Gender and Age Distributionsupporting
confidence: 83%
“…This indicates that majority (90.6%) of the sampled respondents were between the age of 20 and 49 years (economic active age). This is in support of Aremu et al (2015) that about 80% of the respondents under study fall within the active age groups of 14-57 years.…”
Section: Gender and Age Distributionsupporting
confidence: 83%
“…Other noise associated problems include anxiety (20%), hearing difficulties (19%) and forgetfulness among others. These findings were slightly lower than that obtained by Aremu et al, (2015)in Ilorin among sawmill workers, wherethe commonest complaints were "tinnitus (96.6%), headache (86.6%) and hearing loss (71.9%)". Fewer complaintsof annoyance (3.3%), difficulty in concentration (2.5%), and diplacusis (1.8%) were also observed.…”
Section: Gadanya and Buhari Fjscontrasting
confidence: 61%
“…In a Tanzanian city of Morogoro, Gaganija, et al, reported that up 91% of the residents in the area were experiencing disturbing levels of noise and about 86% of them are aware of its health effects. In Nigeria most of the work on noise pollution focused either on occupational noise exposure or they consider some specific forms of environmental noise pollution for example a work by Ekata (2016) on the awareness and exposure to generator noise pollution; Ibrahimet al, (2014) on noise pollution among workers in wheat processing plant and Aremu, et al, (2015) work on noise exposure sawmill workers among other similar studies.…”
Section: Introductionmentioning
confidence: 99%
“…The effect of noise included tinnitus (96.6%), headache (86.6%) and hearing impairment (71. 9%).The machines were the sources of noise [43]. Manufacturing sectors in Thika District, Kenya were polluted by noise which could cause interference in speech intelligibility, ear infection and trauma [44].…”
Section: Industriesmentioning
confidence: 99%