Due to the lack of systematic occupational hygiene analyses and workplace exposure data, it is not clear which cleaning-related exposures induce or aggravate asthma and other respiratory effects.
In terms of participants' liking for fruit, lower SES was associated with lower implicit liking (for income and education, but not occupational group analyses), with this SES difference being stronger in men in the education analysis.
Due to the lack of systematic occupational hygiene analyses and workplace exposure data, there is a need for systematic evaluation of cleaning products ingredients and their exposures in the workplace.
Methods included workplace interviews, reviews of product Materials Safety Data Sheets and the scientific literature on adverse health effects to humans, reviews of physico-chemical properties of cleaning ingredients, and occupational hygiene observational analyses.
We therefore made restrictions to more than 6 months of service in the definition of the occupational groups before analyses (figure 1).
For occupational exposures, sensitivity analyses evaluated indicator variables for activities including repairing engines, grinding metal, welding, and driving diesel tractors as well as continuous variables for both years of mixing or applying pesticides and physical activity (hours exercising/week).
Schmidt and Strauss [11] and Boskin [12] analysed occupational choice among multiple alternatives.
Trends in distribution of baseline characteristics along the occupational classes were analysed using the Cochran Armitage trend test for categorical variables and the anova linear trend test for continuous variables.
To investigate this, the data of an occupational cohort were analysed from 1058 men in a cross-sectional study and from 560 men with normal glucose tolerance (NGT) in a longitudinal study.
