Work-related stress and future sick leave in a working population seeking care at primary health care centres: a prospective longitudinal study using the WSQ

Table 1 Association between registered sick leave and sociodemographic characteristics for the 232 participants

Variable		Total (N = 232)		Proportion with sick leave ≥ 15 days
Variable		n	(%)	Yes	%	p-value¹	OR (95% CI)^a
Total		232		83	36
Sex						0.35
	Male	79	34	25	32		1.00
	Female	153	66	58	38		1.32 (0.74;2.35)
Age (years)						0.58
	18–30	41	18	14	34		1.00
	31–50	117	50	39	33		0.96 (0.46;2.04)
	51–64	74	32	30	41		1,32 (0.59;2.91)
Education level						0.21
	University	103	44	32	31		1.00
	High school	106	46	40	38		1.35 (0.76;2.39)
	Elementary school	22	10	11	50		2.22 (0.87;5.65)
	Missing	1	0	0
Occupational class						0.16
	High-level non-manual	42	18	11	26		1.00
	Medium/low non-manual	100	43	34	34		1.45 (0.65;3.24)
	Skilled/unskilled manual	89	38	38	43		2.10 (0.94;4.70)
	Missing	1	0	0
Marital status						0.19
	Not single	184	80	63	34		1.00
	Single	45	20	20	44		1.55 (0.80;3.00)
	Missing	2	0	0

¹p-value, Pearson’s χ² test for having or not having 15 days of sick leave or more. Values below 0.25 are marked with bold text as the corresponding variables then were treated as potential covariate to be included in the logistic regression analyses
^aOdds ratio with 95% confidence interval, bivariate logistic regression

ISSN: 1471-2458