Multivariate analysis of byssinosis risk assessment
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Published on: June 21, 2018
N Mathur1, B N Gupta, S K Rastogi
1Epidemiology Division, Industrial Toxicology Research Centre, Lucknow.
Abstract:
Multiple logistic regression model was used considering byssinosis as an independent variable, and dustiness, smoking, exposure years and age as explanatory variables. Dustiness and length of exposure to the dust were found to be the most important contributory factors to byssinosis prevalence. The risk of byssinosis among workers in card room, blow room and waste plant sections and those who had exposure of more than 5 years was nearly three times than that among workers of other sections of the mill and/or with less than 5 years of exposure.