Table 3.

Patient-, GP- and area-related factors associated with having had a GP consultation for psychological stress in the six-months period.

Patient, GP and area characteristics		Model 1	Model 2	Model 3	Model 4
		OR (95% CI)	OR (95% CI)	OR (95% CI)	OR (95% CI)
Patient’s sex	Female	1	1	1	1
	Male	0.43 (0.35–0.52)	0.42 (0.34–0.51)	0.42 (0.34–0.51)	0.42 (0.34–0.51)
Patient’s age	18–34 years	1	1	1	1
	35–54 years	1.40 (1.16–1.69) 3.4)	1.39 (1.14–1.70)	1.39 (1.14–1.70)	1.38 (1.14–1.68)
	55–65 years	0.99 (0.78–1.27)	0.96 (0.76–1.23)	0.97 (0.76–1.23)	0.96 (0.76–1.21)
GP’s sex	Female	1	1		1
	Male	0.76 (0.55–1.04)	0.76 (0.59–0.99)		0.72 (0.56–0.92)
GP’s age	< 50 years	1	1		1
	≥ 50 years	0.77 (0.58–1.02)	0.80 (0.62–1.04)		0.73 (0.56–0.95)
Practice size	1–2 GPs	1	1		1
	3+ GPs	1.01 (0.73–1.40)	0.79 (0.58–1.06)		0.66 (0.46–0.95)
Patients per GP	< 1600	1	1		1
	≥ 1600-	0.61 (0.46–0.81)	0.59 (0.45–0.76)		0.64 (0.49–0.84)
Area, househ. income	≤ 60,000 €	1		1	1
	> 60,000 €	1.06 (0.78–1.45)		0.92 (0.69–1.22)	1.00 (0.76–1.32)
Area, unemployment	≤ 3%	1		1	1
	> 3%	1.27 (0.94–1.72)		1.11 (0.84–1.46)	0.94 (0.77–1.16)
Area, higher education	≤ 20%	1		1	1
	> 20%	1.39 (0.96–2.00)		1.55 (1.09–2.19)	1.74 (1.06–2.87)
Area, urbanisation	≤ 75%	1		1	1
	> 75%	0.90 (0.64–1.26)		0.70 (0.52–0.95)	0.67 (0.51-0.89)

All models are logistic regressions with robust estimates accounting for patient clustering with 56 different GPs. Model 1 is crude. Model 2 includes practice characteristics. Model 3 includes area characteristics. Model 4 includes both practice and area characteristics. The age- and sex-specific numbers of patients listed with the practices were estimated from the reported total number of listed patients and the age and sex composition in the GP´s municipality.