Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74734
Title: Dental environmental noise evaluation and health risk model construction to dental professionals
Authors: Ma, KW
Wong, HM
Mak, CM 
Keywords: Health risk assessment
Health risk model
Noise exposure assessment
Noise in dental environment
Psychoacoustics approach
Issue Date: 2017
Publisher: MDPI AG
Source: International journal of environmental research and public health, 2017, v. 14, no. 9, 1084 How to cite?
Journal: International journal of environmental research and public health 
Abstract: Occupational noise is unavoidably produced from dental equipment, building facilities, and human voices in the dental environment. The purpose of this study was to investigate the effect of occupational noise exposure on the dental professionals’ health condition. The psychoacoustics approach noise exposure assessment followed by the health risk assessment was carried on at the paediatric dentistry clinic and the dental laboratory in the Prince Philip Dental Hospital of Hong Kong. The A-weighted equivalent sound level, total loudness, and sharpness values were statistically significantly higher for the noise at the laboratory than that at the clinic. The degree of perceived influences and sharpness of noise were found to have the impacts on the dental professionals’ working performance and health. Moreover, the risk of having a bad hearing state would a have 26% and 31% higher chance for a unit increment of the short-term and long-term impact scores, respectively. The dental professionals with the service length more than 10 years and the daily working hours of more than eight showed the highest risk to their hearing state. The worse the hearing state was, the worse the health state was found for the dental professionals. Also, the risk of dissatisfaction would be increased by 4.41 and 1.22 times for those who worked at the laboratory and a unit increment of the long-term impact score. The constructed health risk mode with the scientific and statistical evidence is hence important for the future noise management of environmental improvement.
URI: http://hdl.handle.net/10397/74734
ISSN: 1661-7827
EISSN: 1660-4601
DOI: 10.3390/ijerph14091084
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
Citations as of Oct 6, 2018

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
Citations as of Oct 13, 2018

Page view(s)

6
Citations as of Oct 15, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.