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Table 2 Risk of upper respiratory tract infections during past 12 months in people with newly-onset adult asthma according to the occupation in the FEAS

From: Occupation and occurrence of respiratory infections among adults with newly diagnosed asthma

 

Common colda

Tonsillitisa,c,d

Sinusitisa,c,d

Otitis mediaa,c,d

URTIa,c,d,e

Occupation

Crude IRR (95% CI)

Adjustedb IRR (95% CI)

Crude RR (95% CI)

Adjustedb RR (95% CI)

Crude RR (95% CI)

Adjustedb RR (95% CI)

Crude RR (95% CI)

Adjusted b RR (95% CI)

Crude RR (95% CI)

Adjustedb RR (95% CI)

2 Bakers and food processors

1.18 (0.69–2.02)

1.06 (0.61–1.84)

NA

NA

0.53 (0.08–3.33)

0.62 (0.11–3.38)

5.57 (1.96–15.80)

4.67 (1.45–15.05)

1.36 (0.56–3.32)

1.46 (0.59–3.65)

3 Chemical industry workers

1.32 (0.68–2.58)

1.16 (0.60–2.27)

NA

NA

0.93 (0.17–5.19)

0.80 (0.15–4.15)

NA

NA

0.79 (0.14–4.41)

0.69 (0.13–3.57)

4 Cleaners

0.85 (0.62–1.18)

0.82 (0.59–1.14)

0.76 (0.18–3.27)

0.81 (0.19–3.49)

1.44 (0.85–2.43)

1.30 (0.78–2.17)

0.42 (0.06–3.15)

0.38 (0.05–2.89)

1.33 (0.82–2.16)

1.26 (0.78–2.04)

5 Construction and mining workers

1.49 (1.04–2.15)

1.67 (1.14–2.44)

NA

NA

1.14 (0.48–2.71)

1.84 (0.75–4.54)

2.00 (0.49–8.17)

2.53 (0.64–9.91)

1.22 (0.59–2.54)

1.67 (0.78–3.56)

6 Day-care workers

1.00 (0.61–1.64)

0.93 (0.56–1.52)

2.36 (0.61–9.23)

2.26 (0.63 -8.20)

1.86 (0.94–3.67)

1.57 (0.81–3.03)

1.30 (0.18–9.16)

1.14 (0.14–9.29)

1.90 (1.08–3.35)

1.68 (0.96–2.94)

7 Dentists and dental workers

0.39 (0.10–1.58)

0.38 (0.09–1.52)

NA

NA

1.24 (0.24–6.29)

0.997 (0.23–4.27)

NA

NA

1.06 (0.21–5.34)

0.95 (0.19–4.71)

8 Drivers

0.88 (0.45–1.72)

1.11 (0.56–2.17)

NA

NA

1.24 (0.39–3.98)

1.93 (0.51–7.30)

NA

NA

1.06 (0.33–3.37)

1.38 (0.39–4.80)

9 Electrical and electronic production workers

0.74 (0.39–1.39)

0.86 (0.46–1.64)

NA

NA

0.93 (0.27–3.19)

1.31 (0.41–4.18)

NA

NA

0.79 (0.23–2.70)

0.98 (0.30–3.25)

10 Engine workshop workers

1.01 (0.56–1.80)

0.99 (0.54–1.78)

1.69 (0.25–11.29)

1.13 (0.17–7.46)

1.59 (0.65–3.92)

2.34 (0.96–5.68)

NA

NA

1.36 (0.56–3.32)

1.52 (0.63–3.66)

11 Farmers and agricultural workers

1.14 (0.77–1.67)

1.31 (0.88–1.93)

1.58 (0.39–6.45)

2.06 (0.47–8.96)

1.24 (0.57–2.67)

1.40 (0.67–2.93)

NA

NA

1.27 (0.65–2.48)

1.38 (0.70–2.71)

12 Forestry and related workers

1.96 (1.04–3.70)

2.20 (1.15–4.23)

NA

NA

NA

NA

NA

NA

NA

NA

13 Fur and leather workers

0.74 (0.30–1.78)

0.87 (0.36–2.13)

2.95 (0.49–17.68)

4.44 (0.90–21.88)

2.79 (1.48–5.24)

3.48 (1.76–6.87)

3.25 (0.54–19.64)

4.30 (0.53–35.02)

2.38 (1.28–4.42)

2.87 (1.49–5.54)

14 Glass, ceramic, and mineral workers

0.29 (0.04–2.10)

0.29 (0.04–2.09)

NA

NA

NA

NA

NA

NA

NA

NA

15 Hairdressers

1.29 (0.71–2.37)

1.26 (0.66–2.38)

4.73 (1.41–15.91)

6.23 (1.43–27.22)

2.22 (1.03–4.81)

2.22 (1.12–4.39)

NA

NA

1.90 (0.89–4.06)

2.14 (1.13–4.04)

16 Housewives

1.88 (1.13–3.13)

1.35 (0.80–2.29)

NA

NA

0.74 (0.13–4.39)

0.61 (0.10–3.74)

2.60 (0.41–16.56)

1.40 (0.22–8.75)

1.27 (0.42–3.82)

1.02 (0.33–3.10)

17 Laboratory technicians

1.47 (0.61–3.57)

1.51 (0.62–3.68)

5.91 (1.32–26.40)

5.23 (1.15–23.74)

3.71 (2.80–4.93)

3.74 (2.03–6.91)

NA

NA

3.17 (2.46 4.08)

2.87 (1.92–4.30)

18 Metal workers

1.18 (0.87–1.60)

1.37 (0.99 -1.91)

0.47 (0.06–3.50)

0.42 (0.05–3.38)

0.74 (0.32–1.71)

1.23 (0.51–3.01)

NA

NA

0.76 (0.36–1.60)

0.98 (0.45–2.14)

19 Maternity leave

1.76 (0.56–5.51)

1.59 (0.51–4.99)

11.82 (6.71–20.80)

11.22 (4.67–26.91)

NA

NA

13.00 (7.17–23.58)

10.23 (4.78–21.87)

3.17 (2.46–4.08)

2.41 (1.79–3.24)

20 Nurses and nursing associates

1.26 (0.95–1.69)

1.08 (0.81–1.45)

0.88 (0.21–3.73)

0.79 (0.19–3.27)

1.38 (0.78–2.43)

1.12 (0.63–2.01)

NA

NA

1.17 (0.68–2.04)

1.03 (0.59–1.81)

21 Painters

1.18 (0.44–3.16)

1.16 (0.43–3.17)

NA

NA

NA

NA

NA

NA

NA

NA

22 Physicians

0.59 (0.15–2.37)

0.79 (0.20–3.21)

NA

NA

NA

NA

NA

NA

NA

NA

23 Printers

0.88 (0.28–2.76)

0.87 (0.28–2.73)

NA

NA

1.86 (0.45–7.64)

1.80 (0.28–11.35)

NA

NA

1.59 (0.39–6.49)

1.51 (0.26–8.76)

24 Rubber and plastic workers

0.81 (0.44–1.48)

0.89 (0.48–1.63)

NA

NA

0.93 (0.27–3.19)

1.10 (0.33–3.67)

NA

NA

0.79 (0.23–2.70)

0.86 (0.26–2.86)

25 Retired

0.80 (0.59–1.08)

1.00 (0.72–1.38)

0.61 (0.14–2.62)

1.09 (0.22–5.24)

0.95 (0.52–1.74)

1.22 (0.65–2.31)

1.33 (0.44–4.02)

1.86 (0.54–6.40)

1.14 (0.70–1.86)

1.45 (0.86–2.45)

26 Sick leave

0.59 (0.08–4.19)

0.93 (0.13–6.68)

NA

NA

NA

NA

NA

NA

NA

NA

27 Storage workers

0.92 (0.50–1.69)

1.03 (0.56–1.88)

NA

NA

NA

NA

1.86 (0.28–12.54)

2.05 (0.29–14.66)

0.45 (0.07–2.83)

0.47 (0.07–3.09)

28 Students

1.45 (1.12–1.89)

1.09 (0.81–1.47)

0.79 (0.18–3.37)

0.49 (0.11–2.19)

0.99 (0.51–1.91)

1.02 (0.46–2.22)

0.87 (0.20–3.75)

0.51 (0.11–2.33)

1.27 (0.76–2.10)

1.17 (0.65–2.10)

29 Textile workers

1.24 (0.78–1.98)

1.17 (0.73–1.88)

NA

NA

0.41 (0.06–2.68)

0.41 (0.06–2.71)

NA

NA

0.35 (0.06–2.27)

0.36 (0.05–2.47)

30 Other occupations

1.18 (0.91–1.53)

1.16 (0.89–1.51)

0.93 (0.27–3.17)

0.92 (0.28–3.07)

0.98 (0.54–1.79)

1.01 (0.57–1.79)

1.71 (0.62–4.70)

1.62 (0.59–4.40)

1.00 (0.59–1.70)

1.02 (0.61–1.72)

31 Unemployed

1.42 (1.06–1.90)

1.28 (0.95–1.73)

0.49 (0.07–3.64)

0.40 (0.05–3.00)

0.93 (0.44–1.96)

0.98 (0.48–1.99)

2.17 (0.74–6.35)

1.85 (0.68–5.07)

1.06 (0.57–1.96)

1.07 (0.59–1.96)

32 Waiters

1.18 (0.78–1.77)

0.92 (0.61–1.39)

0.91 (0.13–6.49)

0.69 (0.11–4.45)

1.14 (0.48–2.71)

0.87 (0.37–2.08)

1.00 (0.14–7.21)

0.68 (0.09–5.29)

1.22 (0.59–2.54)

0.99 (0.47–2.08)

33 Wood and paper workers

0.85 (0.49–1.49)

0.84 (0.48–1.48)

NA

NA

0.41 (0.06–2.68)

0.51 (0.07–3.59)

1.44 (0.21–10.07)

1.42 (0.23–8.82)

0.70 (0.20–2.45)

0.77 (0.22–2.73)

Professionals, clerks, and administrative (REFERENCE)

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  1. Abbreviations: CI Confidence interval, IRR Incidence rate ratio, RR Risk ratio, URTI Upper respiratory tract infection
  2. aInformation on infections missing for altogether 12 participants: 3 professionals, clerks and administrative, 1 chemical industry worker, 1 cleaner, 2 metal workers, 2 retired, 1 unemployed, 2 with occupation missing
  3. bAdjusted for sex, age, and smoking
  4. cEstimate for having at least one infection
  5. dParticipants with occupations that could not be included in the model (NA) were excluded from the analysis