Multivariate analysis of byssinosis risk assessment.
Indian J Chest Dis Allied Sci
;
1993 Oct-Dec; 35(4): 185-90
Article
in English
| IMSEAR
| ID: sea-30225
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.
Full text:
Available
Index:
IMSEAR (South-East Asia)
Main subject:
Humans
/
Male
/
Byssinosis
/
Multivariate Analysis
/
Risk Factors
Type of study:
Etiology study
/
Prognostic study
/
Risk factors
Language:
English
Journal:
Indian J Chest Dis Allied Sci
Year:
1993
Type:
Article
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