Table 1: Demographic characteristics and incidence of
preeclampsia compared between non-users and methamphetamine users. Values are
mean ± standard deviation or n (%).
aMissing data in 30 non-users, missing data in
1 methamphetamine user
|
|
Non-Users |
Methamphetamine- Users |
p |
|
n |
3622 (97.3) |
99 (2.7) |
|
|
Age (years) |
26.4 ± 6.3 |
28.6 ± 6.0 |
< 0.001 |
|
Gravidity |
2.9 ± 1.9 |
4.5 ± 2.8 |
< 0.001 |
|
Parity |
1.4 ± 1.5 |
2.5 ± 2.2 |
< 0.001 |
|
Ethnicitya |
|||
|
Caucasian |
384 (10.6) |
32 (32.3) |
< 0.001 |
|
Hispanic |
2659 (73.4) |
57 (57.6) |
|
|
Black |
427 (11.8) |
8 (8.1) |
|
|
Asian |
54 (1.5) |
0 (0) |
|
|
Other |
68 (1.9) |
1 (1.0) |
|
|
Preeclampsia |
166 (4.6) |
34 (34.3) |
< 0.001 |
|
Mild |
55 (33) |
11 (32) |
0.339 |
|
Severe |
37 (23) |
8 (24) |
|
|
Gestational |
49 (28) |
6 (18) |
|
|
Superimposed |
25 (16) |
9 (27) |
|
|
Gestational age |
38.9 ± 3.2 |
37.4 ± 2.9 |
< 0.001 |
|
Preterm birth |
169 (4.5) |
31 (31) |
< 0.001 |
|
Birth weight |
3013 ± 725 |
3043 ± 804 |
0.832 |