Table 1.
Background characteristics of study participants in the two cohorts in Matlab, Bangladesh
| All participants | MNCH | PreSSMat | ||
|---|---|---|---|---|
|
N = 9278 |
n = 5503 |
n = 3775 |
P-value* |
|
|
Maternal age (year), n (%): | ||||
| <20 |
1730 (18.6) |
1035 (18.8) |
695 (18.4) |
0.018 |
| 20-24 |
2997 (32.3) |
1837 (33.4) |
1160 (30.7) |
|
| 25-29 |
2361 (25.4) |
1378 (25.0) |
983 (26.0) |
|
| ≥30 |
2190 (23.6) |
1253 (22.8) |
937 (24.8) |
|
|
Parity, n (%): | ||||
| 0 |
3311 (35.7) |
1924 (35.0) |
1387 (36.7) |
<0.001 |
| 1 |
5197 (56.0) |
3053 (55.5) |
2144 (56.8) |
|
| ≥2 |
770 (8.3) |
526 (9.6) |
244 (6.5) |
|
|
Education (year), n (%): | ||||
| 0 |
1124 (12.1) |
717 (13.0) |
407 (10.8) |
<0.001 |
| 1-5 |
2186 (23.6) |
1528 (27.8) |
658 (17.4) |
|
| ≥6 |
5968 (64.3) |
3258 (59.2) |
2710 (71.8) |
|
|
Wealth quintile, n (%): | ||||
| 1-Poorest |
1429 (15.4) |
822 (14.9) |
607 (16.1) |
0.470 |
| 2 |
1633 (17.6) |
961 (17.5) |
672 (17.8) |
|
| 3 |
1829 (19.7) |
1079 (19.6) |
750 (19.9) |
|
| 4 |
2064 (22.2) |
1243 (22.6) |
821 (21.7) |
|
| 5-Wealthiest | 2323 (25.0) | 1398 (25.4) | 925 (24.5) | |
MNCH – Maternal, Neonatal, and Child Health, PreSSMat – Preterm and Stillbirth Study, Matlab
*Significance levels by χ2 tests for background characteristics between MNCH and PreSSMat cohort.