Descriptive statistics were used to present the urinary-mercury
test results. The independent t-test was used to compare the
means of continuous variables, between the exposed and control
groups. Normally distributed data group means were compared
using a Student’s t-test or ANOVA for 2 or more than 2
group, respectively. Multiple linear regression analysis was used
to evaluate the effects on urinary-mercury levels of the general
characteristics, work characteristics, occupational lifestyle,
personal protective equipment (PPE), and personal hygiene, of
workers. Used PPE and personal hygienic practice were treated
as dummy variables (yes/no and always/sometimes) in the
model. A p-value < 0.05 was considered statistically significant