Table 3.

Output from univariable and multivariable ordered logistic regression models used to investigate the intention to make a professional (veterinarian, repairman, or transporter) visiting the farm wears clean protective clothing and potential associations with demographic factors and herd factors.

Explanatory variable category	Univariable regression				Multivariable regression
	OR	95% confidence interval		p-value	OR	95% confidence interval		p-value
Farm type
Cattle, dairy	Reference category			<0.001	Reference category			<0.001
Cattle, other	0.74	0.56	0.98		1.03	0.76	1.41
Pigs, piglets	15.81	9.31	26.85		13.93	8.25	23.54
Pigs, fattening	3.28	1.75	6.14		4.10	2.19	7.67
Small ruminants	1.09	0.81	1.48		1.38	0.98	1.94
Mixed	1.06	0.73	1.52		1.27	0.88	1.85
Regiona
South	Reference category			<0.001	Reference category			<0.001
South East	0.27	0.18	0.38		0.38	0.26	0.53
West	0.60	0.43	0.85		0.68	0.49	0.95
East Middle	0.61	0.42	0.87		0.68	0.48	0.96
North	0.65	0.45	0.94		0.85	0.60	1.21
Number of full-time workers	1.25	1.15	1.36	<0.001	1.19	1.08	1.30	<0.001
Future plan of production
Sustain or increase production	Reference category			0.889
Cease production	0.98	0.76	1.26
Production purposeb	1.08	1.04	1.13	<0.001
Agec	0.50	0.30	0.83	0.007	0.41	0.26	0.67	<0.001
Gender
Female	Reference category			<0.001	Reference category			<0.001
Male	0.58	0.45	0.74		0.59	0.46	0.76
Education level
Compulsory school (9 years)	Reference category			0.001
Upper secondary school	0.98	0.75	1.30
University or equivalent	1.58	1.15	2.17

Intention was based on respondents’ replies to three intention scenarios and the models were leveled with multiple responses (n = 5,134) from each respondent (N = 1,759, Sweden 2012–2013).

^aCategories were based on Nomenclature of Territorial Units for Statistics (NUTS) level 2.

^bContinuous variable, ranging from “hobby” (lowest) to “make a living from production” (highest).

^cContinuous variable indicating age by 10-year category (x), transformed to x⁻².