Table 4

Results of a Poisson regression analysis of patients tested with the fragrance mix between January 1992 and December 1998, considering two alternative outcomes—part II: occupational factors

Current job		Prevalence (%)		At least + (11.5%)			At least ++ (4.0%)
Current job		Prevalence (%)		PR	95% CI		PR	95% CI
Engineer	2.2	1.00	Reference		1.00	Reference
Metal furnace operator, etc	0.2	1.42	0.85 to 2.23		1.41	0.64 to 3.11
Masseur, physiotherapist	0.5	1.37	0.98 to 1.90		1.45	0.84 to 2.51
Geriatric nurse	0.6	1.28	0.93 to 1.73		1.31	0.78 to 2.20
Potter, glass maker, etc	0.1	1.19	0.58 to 2.14		1.66	0.66 to 4.17
Precision mechanic	0.3	1.14	0.69 to 1.78		0.97	0.42 to 2.26
Photographer, etc	0.2	1.07	0.59 to 1.78		0.45	0.11 to 1.84
Cosmetologist	0.2	1.07	0.65 to 1.67		0.63	0.23 to 1.75
Salesperson	1.8	1.02	0.80 to 1.29		1.01	0.67 to 1.50
Printer, etc	0.3	1.01	0.63 to 1.54		1.14	0.56 to 2.31
Electrician	0.9	0.99	0.71 to 1.34		0.94	0.48 to 1.47
Teaching professional	2.6	0.98	0.79 to 1.22		0.86	0.59 to 1.25
Agricultural labourer	0.6	0.97	0.69 to 1.35		0.85	0.47 to 1.54
Package and transport	0.9	0.97	0.71 to 1.31		0.83	0.48 to 1.41
Sheet metal worker	0.1	0.97	0.46 to 1.79		0.88	0.28 to 2.82
Florist, gardener	0.8	0.96	0.70 to 1.30		1.13	0.69 to 1.85
Office worker	13.5	0.95	0.80 to 1.14		0.95	0.71 to 1.27
Waiter, bartender, etc.	0.8	0.94	0.69 to 1.28		0.81	0.47 to 1.40
Nurse, midwife	5.1	0.92	0.76 to 1.13		0.95	0.68 to 1.33
Household worker	11.8	0.89	0.75 to 1.08		0.91	0.68 to 1.24
Welder, solderer	0.2	0.89	0.42 to 1.64		1.33	0.53 to 3.34
Textile worker, etc	0.7	0.89	0.64 to 1.23		1.12	0.67 to 1.87
Driver, filling station attendant	0.9	0.88	0.64 to 1.19		0.49	0.26 to 0.95
Mail and related clerk	0.4	0.86	0.55 to 1.30		1.03	0.52 to 2.03
Missing job title	7.9	0.85	0.70 to 1.03		0.95	0.69 to 1.30
Chemical industry	0.7	0.85	0.59 to 1.20		0.66	0.35 to 1.27
Cashier	0.2	0.84	0.48 to 1.39		0.99	0.42 to 2.31
Metal worker (cutting)	0.6	0.84	0.56 to 1.23		0.67	0.33 to 1.35
Medical assistant	0.9	0.82	0.60 to 1.11		0.71	0.41 to 1.23
Physician	0.9	0.81	0.59 to 1.10		0.76	0.45 to 1.30
Rubber manufacturer	0.1	0.80	0.25 to 1.89		1.63	0.51 to 5.23
Pharmacist	0.2	0.78	0.40 to 1.37		0.83	0.30 to 2.31
Mechanic	2.5	0.78	0.61 to 0.99		0.78	0.52 to 1.15
Locksmith	1.3	0.78	0.57 to 1.04		0.94	0.59 to 1.48
Painter, varnisher	0.5	0.77	0.49 to 1.14		0.72	0.36 to 1.46
Butcher, fishmonger	0.4	0.76	0.46 to 1.17		0.94	0.46 to 1.91
Dentist, etc	1.2	0.76	0.56 to 1.02		0.76	0.45 to 1.26
Baker, confectioner	0.7	0.74	0.50 to 1.07		0.74	0.39 to 1.42
Cook, food preserver	1.2	0.72	0.53 to 0.96		0.79	0.49 to 1.28
Artist, professional sport	0.4	0.70	0.42 to 1.11		0.67	0.29 to 1.56
Cleaner	2.0	0.67	0.52 to 0.86		0.62	0.40 to 0.96
Paper maker	0.1	0.67	0.28 to 1.32		1.06	0.38 to 2.93
Hairdresser	1.5	0.66	0.49 to 0.89		0.59	0.35 to 0.99
Security service	1.0	0.63	0.44 to 0.89		0.69	0.39 to 1.23
Logger, forest worker	0.1	0.61	0.10 to 1.91		—	—
Metal finisher	0.1	0.61	0.24 to 1.27		0.83	0.26 to 2.65
Leather goods manufacturer	0.2	0.60	0.27 to 1.15		0.63	0.20 to 2.03
Construction labourer	1.5	0.54	0.39 to 0.74		0.52	0.31 to 0.88
Carpenter, etc	0.8	0.53	0.34 to 0.79		0.23	0.08 to 0.62
Plastic material manufacturer	0.2	0.37	0.13 to 0.82		0.20	0.03 to 1.48
Miner	0.2	0.35	0.11 to 0.84		0.49	0.12 to 1.99
Animal keeper	0.1	0.19	0.03 to 0.61		—	—