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Document ID (ISN)110770
CIS number 10-0343
ISSN - Serial title 0304-3894 - Journal of Hazardous Materials
Year 2010
Convention or series no.
Author(s) Chang T.Y, Huang K.H, Liu C.S., Shie R.H., Chao K.P, Hsu W.H.;, Bao B.Y.
Title Exposure to volatile organic compounds and kidney dysfunction in thin film transistor liquid crystal display (TFT-LCD) workers
Bibliographic information June 2010, Vol.178, No.1-3, p.934-940. Illus. 34 ref.
Abstract Many volatile organic compounds (VOCs) are emitted during the manufacturing of thin film transistor liquid crystal displays (TFT-LCDs), exposures to some of which have been reported to be associated with kidney dysfunction, but whether such an effect exists in TFT-LCD industry workers is unknown. This cross-sectional study aimed to investigate the association between exposure to VOCs and kidney dysfunction among TFT-LCD workers. The results showed that ethanol, acetone, isopropyl alcohol and propylene glycol monomethyl ether acetate were the four dominant VOCs present in the workplace. The 63 array workers studied had a risk of kidney dysfunction 3.21-fold and 3.84-fold that of 61 cell workers and 18 module workers, respectively. Workers cumulatively exposed to a total level of isopropyl alcohol, PGMEA and propylene glycol monomethyl ether of 324 ppb-year or more had a significantly higher risk of kidney dysfunction (adjusted odds ratio=3.41) compared with those exposed to less than 25 ppb-year, after adjustment for potential confounding factors. Implications of these findings are discussed.
Descriptors (primary) Taiwan (China); volatile substances; organic solvents; kidney; electronics industry; risk factors
Descriptors (secondary) ethanol; isopropyl alcohol; propylene glycol monomethyl ether; acetone; exposure evaluation; cross-sectional study; statistical evaluation
Document type D - Periodical articles
Subject(s) Occupational pathology
Broad subject area(s) Occupational medicine, epidemiology
New technologies
Chemical safety
Browse category(ies) Diseases of the kidney and the urinary system
Statistical methods