Associations between number of sick-leave days and future all-cause and cause-specific mortality: a population-based cohort study

Table 4 Relative risk (RR) of premature death from cancer diagnoses among women and men on sick leave with adjustments in four models and in a fifth model with two years wash-out period

Sex	Sick-leave days¹	Number of deaths	Model I	Model II	Model III	Model IV	Model V
Women	0	21 833	1 (REF)	1 (REF)	1 (REF)	1 (REF)	1 (REF)
	1-15	1774	1.17 (1.12-1.23)	1.16 (1.11-1.22)	1.08 (1.03-1.13)	1.07 (1.02-1.13)	1.08 (1.02-1.13)
	16-75	2318	1.49 (1.43-1.55)	1.48 (1.42-1.55)	1.19 (1.14-1.25)	1.19 (1.14-1.24)	1.14 (1.09-1.20)
	76-165	1347	2.38 (2.25-2.52)	2.37 (2.24-2.50)	1.91 (1.80-2.02)	1.90 (1.80-2.01)	1.60 (1.50-1.71)
	166-365	2331	3.42 (3.27-3.57)	3.38 (3.24-3.53)	2.81 (2.69-2.94)	2.78 (2.65-2.90)	1.93 (1.82-2.04)
Men	0	24 101	1 (REF)	1 (REF)	1 (REF)	1 (REF)	1 (REF)
	1-15	1461	1.24 (1.17-1.30)	1.21 (1.15-1.28)	1.14 (1.08-1.20)	1.11 (1.06-1.18)	1.10 (1.04-1.16)
	16-75	1937	1.60 (1.53-1.68)	1.57 (1.50-1.64)	1.34 (1.28-1.40)	1.31 (1.25-1.37)	1.20 (1.13-1.26)
	76-165	1089	2.28 (2.15-2.43)	2.23 (2.10-2.37)	1.76 (1.66-1.88)	1.72 (1.62-1.83)	1.40 (1.30-1.51)
	166-365	1813	2.79 (2.66-2.93)	2.70 (2.57-2.83)	2.19 (2.08-2.30)	2.12 (2.01-2.23)	1.59 (1.49-1.69)

¹Days reimbursed by the Social Insurance Agency, usually from the 15^th day of a sick-leave spell.
Model I: adjustment for age.
Model II: adjustment for age and education, type of place of residence, and region of birth.
Model III: adjustment for age, and number of days in hospital (categorized).
Model IV: adjustment for age, number of days in hospital (categorized), education, type of place of residence, and region of birth.
Model V: model IV with two years wash-out period.

ISSN: 1471-2458