Table 4

Separate logistic regressions models for doctor diagnosed asthma and self-reported wheeze (any in the last 12 months)

Model—Asthma* N=2354	OR	95% CI	P value
Age (years)	0.98	0.96 to 0.99	0.004
Gender
Male (reference)	1.00
Female	0.98	0.45 to 2.14	0.962
Smoking status
Never smoked (reference)	1.00
Ever smoked	1.44	1.11 to 1.87	0.006
Years spent working with pesticides	1.01	0.99 to 1.02	0.461
Total hours’ work with pesticides			0.017†
Low (reference)	1.00		–
Zero	1.26	0.92 to 1.73	0.150
High	0.76	0.55 to 1.04	0.081
Model—any wheeze in last 12 months* N=2316
Age (years)	0.98	0.97 to 0.99	0.001
Gender
Male (reference)	1.00
Female	0.87	0.43 to 1.78	0.704
Never smoked (reference)	1.00
Ever smoked	1.52	1.22 to 1.89	<0.001
Years spent working with pesticides	1.01	1.00 to 1.02	0.162
Total hours’ work with pesticides			0.142†
Low (reference)	1.00
Zero	1.31	0.99 to 1.73	0.056
High	1.04	0.81 to 1.35	0.745
Model—work-related wheeze* N=2172
Age (years)	1.00	0.96 to 1.03	0.890
Never smoked (reference)	1.00
Ever smoked	1.23	0.61 to 2.47	0.567
Years spent working with pesticides	1.01	0.98 to 1.05	0.451
Total hours’ work with pesticides			0.031†
Low (reference)	1.00	–	–
Zero	1.04	0.37 to 2.98	0.936
High	2.67	1.16 to 6.18	0.021

The data from the 2018 respiratory questionnaire were used in this analysis. Total hours’ work with pesticides are the number of hours spent working with pesticides in the previous year. Each variable was adjusted for the others in the model. Gender was omitted from the work-related wheeze because of collinearity. Age and years spent working with pesticides are continuous variables in these models; to assist interpretation an OR of 0.98 suggests that a 1-year increase in age lowers the odds of having the diagnosis or symptom by 2%.
*Reference category is all other participants without this diagnosis or symptom
†Overall test of significance for the ‘Total hours work with pesticides’ variable