Table 1 Characteristics of all women, pregnant women vs. non-pregnant women and Black vs White women
Characteristics | All women n = 184 *(%) | Pregnant women n = 84* (%) | Non-pregnant women n = 100*(%) | P) | White women n = 87* (%) | Black women n = 97*(%) | Pa) |
|---|---|---|---|---|---|---|---|
Race | 0.623 | Â | Â | Â | |||
 Black | 97 (53%) | 47 (55%) | 50 (51%) |  | – | – |  |
 White | 87 (47%) | 39 (45%) | 48 (49%) |  | – | – |  |
Season | 0.263 | Â | Â | 0.199 | |||
 Spring | 31 (18%) | 14 (17%) | 17 (19%) |  | 14(17%) | 17(19%) |  |
 Summer | 84 (49%) | 35 (43%) | 49 (54%) |  | 34(42%) | 50(55%) |  |
 Autumn | 43 (25%) | 24 (29%) | 19 (21%) |  | 26(32%) | 17(19%) |  |
 Winter | 14 (8%) | 9(11%) | 5 (6%) |  | 7(9%) | 7(8%) |  |
Fish consumption | 0.663 | Â | Â | 0.206 | |||
 0 oz/week | 50 (27%) | 25 (29%) | 25 (26%) |  | 29 (33%) | 21 (22%) |  |
 0–3.5 oz/week | 90 (49%) | 39 (45%) | 51 (52%) |  | 39 (45%) | 51 (53%) |  |
 > 3.5 oz/week | 44 (24%) | 22 (26%) | 22 (22%) |  | 19 (22%) | 25,926%) |  |
Pregnant | 0.623 | ||||||
 no | 98 (53%) | – | – |  | 48 (55%) | 50 (52%) |  |
 yes | 86 (47%) | – | – |  | 39 (45%) | 47 (48%) |  |
Age | 0.020 | Â | Â | 0.952 | |||
 18–25 | 68 (40%) | 38 (47%) | 30 (33%) |  | 31 (39%) | 37 (40%) |  |
 > 25–30 | 46 (27%) | 25 (31%) | 21 (23%) |  | 21 (26%) | 25 (27%) |  |
 > 30–35 | 35 (20%) | 12 (15%) | 23 (25%) |  | 16 (20%) | 19 (21%) |  |
 > 35 | 23 (13%) | 6 (7.4%) | 17 (19%) |  | 12 (15%) | 11 (12%) |  |
BMI | 0.243* | Â | Â | 0.618* | |||
 < 18.5 | 2 (1%) | 2 (2%) | 0 (0%)* |  | 0 (0%)* | 2(2%) |  |
 18.5-24.99 | 47 (26%) | 24 (30%) | 23(24%) |  | 22 (27%) | 25(26%) |  |
 25–29.99 | 43 (24%) | 16 (20%) | 27(28%) |  | 20(24%) | 23(24%) |  |
 > 30 | 86 (48%) | 39 (48%) | 47 (49%) |  | 41 (49%) | 45(47%) |  |
Income | 0.899 | Â | Â | 0.417 | |||
 < $ 10,000 | 85 (50%) | 38 (48%) | 47 (52%) |  | 35 (46%) | 50 (54%) |  |
 >$ 10,000 - $ 30,000 | 56 (33%) | 27 (34%) | 29 (32%) |  | 26(34%) | 30 (32%) |  |
 > $ 30,000 | 29 (17%) | 14 (18%) | 15 (17%) |  | 16 (21%) | 13 (14%) |  |
WIC | 0.003 | Â | Â | 0.684 | |||
 yes | 121 (69%) | 50 (58%) | 71 (79%) |  | 59 (70%) | 62 (67%) |  |
 no | 55 (31%) | 36 (42%) | 19 (21%) |  | 25 (30%) | 30 (33%) |  |
Education level | 0.793 | Â | Â | 0.641 | |||
 High school or less | 96 (53%) | 45 (54%) | 51 (52%) |  | 47(55%) | 49 (51%) |  |
 Some college/Associate’s degree | 77 (42%) | 34 (40%) | 43 (44%) |  | 35(41%) | 42 (43%) |  |
 College graduate or higher | 9 (5%) | 5 (6%) | 4 (4%) |  | 3(4%) | (6%) |  |
Smoking level | 0.000 | Â | Â | 0.000 | |||
 nonsmoker | 114 (64%) | 54 (66%) | 60 (63%) |  | 41 (50%) | 73 (77%) |  |
 former | 16 (9%) | 14 (17%) | 2 (2%) |  | 11(13%) | 5 (5%) |  |
 1–10 cigs/day | 39 (22%) | 14 (17%) | 25 (26%) |  | 23 (28%) | 16 (17%) |  |
 > = 11 cigs/day | 8 (5%) | 0 (0%)* | 8 (8%) |  | 7 (9%) | 1 (1%) |  |
Cotinine | 0.547 | Â | Â | 0.013 | |||
 High (> 12.9 ng/mL) | 21 (29%) | 12 (27%) | 9 (33%) |  | 15(43%) | 6 (16%) |  |
 Low (< 12.9 ng/mL) | 51 (71%) | 33 (73%) | 18 (67%) |  | 20 (57%) | 31 (84%) |  |
Lead (Median) | 0.052 | Â | Â | 0.596 | |||
 High (> 0.48μg/dL) | 85 (50%) | 30 (41%) | 55 (56%) |  | 39 (52%) | 47 (48%) |  |
 Low (< 0.48μg/dL) | 86 (50%) | 43 (59%) | 43 (44%) |  | 36 (48%) | 50 (52%) |  |
Mercury | 0.215 | Â | Â | 0.126 | |||
 High (> 5.8 μg/L) | 89 (52%) | 42 (58%) | 47 (48%) |  | 44 (59%) | 45 (47%) |  |
 Low (< 5.8 μg/L) | 82 (48%) | 31 (43%) | 51 (52%) |  | 31 (41%) | 51 (53%) |  |
Cadmium (median) | 0.058 | Â | Â | 0.381 | |||
 High (>.47 μg/L) | 87 (51%) | 31 (42%) | 56 (57%) |  | 41 (55%) | 46 (48%) |  |
 Low (<.47 μg/L) | 84 (49% | 42 (58%) | 42 (43%) |  | 34 (45%) | 50 (52%) |  |
Proximity to coast | 0.012 | Â | Â | 0.014 | |||
 Zip code proximal to coast | 30 (18%) | 8 (10%) | 22 (25%) |  | 21 (25%) | 9(11%) |  |
 Further from coast | 139 (82%) | 72 (90%) | 67 (75%) |  | 63(75%) | 76(89%) |  |