Table 6.
KiGGS study: sample characteristics (N = 16301) according to the level of alcohol intake during pregnancy
| Total N = 16301 | Abstainer N = 14089 (86.4%) | Non-abstainer N = 2212 (13.6%) | P for trend | |
|---|---|---|---|---|
| Maternal education (%) |
||||
| Low |
23.5 |
24.7 |
15.8 |
<0.001 |
| Middle |
47.4 |
48.0 |
43.9 |
|
| High |
29.1 |
27.3 |
40.0 |
|
| Smoking during pregnancy (% yes) |
17.0 |
16.6 |
19.5 |
0.001 |
| Maternal height (cm) |
166.5 (6.3) |
166.4 (6.3) |
167.4 (6.2) |
<0.001 |
| Maternal BMI |
24.5 (4.7) |
24.6 (4.7) |
24.2 (4.6) |
<0.001 |
| Maternal age (years) |
28.2 (5.1) |
28.0 (5.1) |
29.4 (5.0) |
<0.001 |
| Parity (% >0) |
67.9 |
67.6 |
69.9 |
0.044 |
| Ethnicity (%) |
||||
| German |
84.6 |
83.5 |
91.5 |
<0.001 |
| Non-German | 15.4 | 16.5 | 8.5 |
Data were missing for maternal education (N = 448), smoking during pregnancy (N = 89), maternal height (N = 188), maternal BMI (N = 299), maternal age (N = 154), parity (N = 3457), ethnicity (N = 113).
Values are percentages for categorical factors, or means (with standard deviations) for continuous factors.