The influence of lifestyle and gender on sickness absence in Brazilian workers

BMC Public Health

Table 2 Univariate odds ratios (OR) and 95% confidence intervals (CI) of socio-demographic characteristics and modifiable risk factors for sick leave among workers of an airline company (n = 2.150)

		1-9 days sick leave (n = 811)		≥ 10 days sick leave (n = 366)
	n	OR	95% CI	OR	95% CI
Individual characteristics
Gender
Male	1274	1.00		1.00
Female	927	1.17	0.97-1.42	1.70*	1.34-2.17
Age (years)
Up to 29	982	1.00		1.00
30 - 39	832	0.80*	0.64-0.96	0.71*	0.55-0.93
40 - 49	288	0.89	0.66-1.18	0.67*	0.45-1.00
50 or more	99	0.59*	0.37-0.96	0.39*	0.19-0.78
Educational level
College	395	1.00		1.00
High school	1638	1.49*	1.16-1.90	1.38*	1.01-1.90
Even elementary school	168	1.56*	1.06-2.30	0.64	0.34-1.20
Type of work
Administrative	597	1.00		1.00
Call center	324	0.92	0.68-1.24	1.03	0.70-1.52
Blue collar	779	0.87	0.69-1.10	0.62*	0.45-0.86
Air crew	501	0.74*	0.57-0.97	1.38*	1.00-1.90
Perceived stress in life
Low	505	1.00		1.00
Moderate	829	1.18	0.92-1.50	1.21	0.87-1.68
High	860	1.25	0.98-1.60	1.41*	1.02-1.94
Lifestyle-related factors
Body mass index
Normal weight (18.5-24.9)	1112	1.00		1.00
Overweight (25-29.9)	766	0.88	0.72-1.08	0.61*	0.46-0.80
Obese (≥30)	272	0.81	0.61-1.09	0.74	0.51-1.08
Physical activity level
Regular	416	1.00		1.00
Little	506	0.86	0.64-1.14	1.08	0.74-1.57
Inactive	1279	1.07	0.84-1.36	1.21	0.88-1.68
Smoking
Non smoker	1662	1.00		1.00
Ex-smoker	268	1.24	0.92-1.64	1.30	0.91-1.87
Smoker	271	1.16	0.87-1.54	1.37	0.97-1.96
Absolute risk for estimate CHD**
0%	1181	1.00		1.00
1-4%	437	1.10	0.86-1.40	0.74	0.53-1.03
> 5%	245	0.74	0.54-1.01	0.64*	0.42-0.96

*p < 0,005.
**Absolute risk for coronary heart disease in the next 10 years based on the Framingham equation.

ISSN: 1471-2458