Table 3. Relationship of the seroprevalence of human brucellosis with sociodemographic variables of the professionals.

Variable	Total		Human seroprevalence				p

			Positive		Negative

	n	%	n	%	n	%
Category	323	100					0.001^a
Worker	131	40.6	7	5.3	124	94.7
Breeder	192	59.4	32	16.7	160	83.3
Gender	323	100					0.703^a
Male	248	76.8	29	11.7	219	88.3
Female	75	23.2	10	13.3	65	86.7
Age group (years)	323	100					0.469^b
10–19	25	7.7	5	20.0	20	80.0
20–29	102	31.6	14	13.7	88	86.3
30–39	79	24.5	5	6.3	74	93.7
40–49	55	17.1	8	14.5	47	85.5
50–59	46	14.2	5	10.9	41	89.1
> 60	16	4.9	2	12.5	14	87.5
Place of birth	323	100					0.785^b
Namibe province	209	64.7	26	12.4	183	87.6
Other	114	35.3	13	11.4	101	88.6
Education level	323	100					0.032^b
No education	189	58.5	29	15.3	160	84.7
Basic education	134	41.5	10	7.5	124	92.5
Start of activities	323	100					0.079^b
Minor	226	70.0	32	14.2	194	85.8
Adult	97	30.0	7	7.2	90	92.8
Formal entry in the activity	323	100					0.103^b
Legacy (heir)	116	35.9	20	17.2	96	82.8
Entrepreneur	109	33.7	10	9.2	99	90.8
Contract	98	30.4	9	9.2	89	90.8
Service location	323	100.					0.055^c
Slaughterhouse SOFRIO and butchers of Namibe	103	31.9	4	3.9	99	96.1
Municipal slaughter rooms	28	8.7	3	10.7	25	89.3
Farms of Namibe	9	2.7	1	11.1	8	88.9
Farms of Tombwa	7	2.2	2	28.6	5	71.4
Farms of Bibala	113	35.0	19	16.8	94	83.2
Farms of Kamucuio	44	13.6	6	13.6	38	86.4
Farms of Virei	19	5.9	4	21.1	15	78.9

^a Fisher’s exact test.

^b Chi-square test of independence.

^c Chi-square test of independence with Monte Carlo Simulation.