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Table 1 Demographic and social characteristics of study participants

From: Seroprevalence of select bloodborne pathogens and associated risk behaviors among injection drug users in the Paso del Norte region of the United States – Mexico border

  Doña Ana County, NM
(n = 100)
Ciudad Juárez, MX
(n = 204)
El Paso, TX
(n = 155)
Chi-square
p-valuea
All sites
(n = 459)
Sex, n (%)      
   Male 80 (80.0) 189 (92.7) 132 (85.2)   401 (87.4)
   Female 20 (20.0) 15 (7.4) 23 (14.8) 0.005 58 (12.6)
Age. mean (median) 41.8 (42.0) 35.3 (33.0) 42.0 (42.0) < 0.0001b 39.0 (38.0)
Hispanic, n (%)      
   Yes 69 (69.0) 203 (99.5) 117 (75.5)   389 (84.7)
   No 31 (31.0) 1 (0.5) 35 (22.5) < 0.0001 67 (14.6)
   No answer 0 (0.0) 0 (0.0) 3 (1.9)   3 (0.7)
Country of birth, n (%)      
   USA 94 (94.0) 4 (2.0) 139 (89.7)   237 (51.6)
   Mexico 4 (4.0) 200 (98.0) 14 (9.0)   218 (47.5)
   Other 1 (1.0) 0 (0.0) 1 (0.6)   2 (0.4)
   No answer 1 (1.0) 0 (0.0) 1 (0.6)   2 (0.4)
Years of education, mean (median) 10.9 (11.5) 7.1 (7.0) 10.8 (11) < 0.0001b 9.2 (9.0)
Marital status, n (%)      
   Unmarried 41 (41.0) 105 (51.5) 66 (42.6)   212 (46.2)
   Married 27 (27.0) 62 (30.4) 36 (23.2)   125 (27.2)
   Divorced/Separated/Widowed 32 (32.0) 36 (17.6) 52 (33.5) 0.007 120 (26.1)
   No answer 0 (0.0) 1 (0.5) 1 (0.6)   2 (0.4)
Social network, mean (median) 21.0 (10.0) 52.2 (20.0) 28.5 (15.0) 0.002b 37.4 (20.0)
Days since last injection, mean (median) 5.2 (2.0) 0.8 (0.0) 3.7 (1.0) < 0.0001b 2.7 (1.0)
Family ever inject drugs*, n (%)      
   None 49 (49.0) 118 (57.8) 84 (54.2)   251 (54.7)
   Mother/father 10 (10.0) 12 (5.9) 13 (8.4)   35 (7.6)
   Sibling 40 (40.0) 49 (24.0) 51 (32.9)   140 (30.5)
   Cousin 12 (12.0) 17 (8.3) 18 (11.6)   47 (10.2)
   Aunt/uncle 17 (17.0) 15 (3.3) 22 (14.2)   54 (11.8)
   Other 11 (11.0) 24 (5.2) 20 (12.9)   55 (12.0)
   Don't know 2 (2.0) 2 (0.4) 4 (2.6)   8 (1.7)
Ever have tattoo      
   Yes 80 (80.0) 167 (81.9) 119 (76.8)   366 (79.7)
   No 20 (20.0) 37 (18.1) 33 (21.3) 0.702 90 (19.6)
   No answer 0 (0.0) 0 (0.0) 3 (1.9)   3 (0.7)
  1. *Categories are not mutually exclusive and therefore percentages may be greater than 100%.
  2. a Chi-square test of independence used to observe differences in categorical variables across sites.
  3. b ANOVA used to compare means across sites.