Table 4.

Logistic regression coefficients for regression of use of pain‐related health care on predisposing, enabling and illness level variables

	Female			Male
	OR	95% CI	P‐value	OR	95% CI	P‐value
Predisposing
Age	0.995	0.970–1.020	0.683	0.978	0.952–1.005	0.112
Education			0.013
Lower secondary vs. university	1.487	0.706–3.132	0.296
Upper secondary vs. university	0.499	0.259–0.961	0.038
Perceived causes of pain
Rheumatism	1.540	0.771–3.077	0.221
Fibromyalgia				3.579	0.587–21.822	0.167
Heart‐ and circulatory problems	1.552	0.178–13.534	0.691	3.229	0.575–18.128	0.183
Old trauma				1.418	0.701–2.871	0.331
Enabling
Easy access to care	3.130	1.692–5.791	<0.001	3.849	1.914–7.740	<0.001
Need
Interference	1.642	1.374–1.962	<0.001	1.403	1.139–1.727	0.001
Physical component score				0.936	0.895–0.980	0.005
Pattern			0.002
Constant pain vs. periodical	2.382	1.008–5.626	0.048
Daily intermittent vs. periodical	5.611	2.168–14.52	<0.001
Frequent intermittent vs. periodical	1.446	0.631–3.312	0.383
Model χ2		109.073	<0.001		55.143	<0.001

Female: Backward stepwise Logistic Regression, Variables not included in model: Marital Status, Occupation, Fibromyalgia, Myalgia/wear and tear, Old trauma, No explanations, Gastro‐ intestinal problems, Migraine, Other causes, Income, Residency, Severity, Spread, Physical Component Score, Mental Component Score n = 296.

Male: Backward stepwise Logistic Regression, Variables not included in model: Marital Status, Education Occupation, Rheumatism, Myalgia/wear and tear, No explanations, Gastro‐ intestinal problems, Migraine, Other, Income, Residency, Severity, Pattern, Spread, Mental Component Score n = 208.

Age entered into the model for both genders.