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. 2018 Oct 15;48(1):186–198. doi: 10.1093/ije/dyy194

Table 1.

Distribution of live births and neonatal deaths across risk factors, by study site

    Bangladesh
Jharkhand/Odisha, India
Mumbai, India
Nepal
    # deliveries (%) nnd # deliveries (%) nnd # deliveries (%) nnd # deliveries (%) nnd
Total per site 30 115 1041 8817 518 7478 64 3222 119
Time (years) 1 4923 (16.3) 199 2920 (33.1) 153 2643 (35.3) 22 1762 (54.7) 71
2 5041 (16.7) 203 2972 (33.7) 177 2598 (34.7) 23 1460 (45.3) 48
3 5234 (17.4) 175 2925 (33.2) 188 2237 (29.9) 19
4 4773 (15.8) 156
5 4204 (14.0) 133
6 5940 (19.7) 175
Age <18 986 (3.3) 40 214 (2.6) 25 58 (0.8) 1 53 (1.6) 4
18–20 7591 (25.2) 306 1610 (19.4) 134 1273 (17.1) 11 361 (11.2) 13
21–23 5799 (19.3) 195 1660 (20.0) 90 2006 (26.9) 12 733 (22.7) 23
24–26 6406 (21.3) 164 1721 (20.8) 90 2005 (26.9) 15 556 (17.3) 20
27–29 3556 (11.8) 117 1121 (13.5) 64 1069 (14.3) 13 448 (13.9) 13
30–32 3030 (10.1) 109 1081 (13.0) 52 675 (9.0) 6 383 (11.9) 18
33–35 1470 (4.9) 51 546 (6.6) 34 241 (3.2) 4 251 (7.8) 13
>35 1271 (4.2) 58 337 (4.1) 15 138 (1.8) 2 437 (13.6) 15
Missing 6 1 527 14 13 0
Birth interval Primigravida 10 090 (36.6) 372 2446 (28.2) 200 2367 (65.5) 17 609 (100.0) 23
(months) <15 610 (2.2) 45 314 (3.6) 25 87 (2.4) 1
15–26 2699 (9.8) 89 1730 (20.0) 88 372 (10.3) 4
27–68 9731 (35.3) 279 3986 (46.0) 178 644 (17.8) 6
>68 4441 (16.1) 136 183 (2.1) 10 144 (4.0) 0
Missing 2544 120 158 17 3864 36 2613 96
Educationa No school 7107 (23.6) 320 5974 (67.8) 372 2094 (28.9) 26 2769 (86.0) 103
Primary 10 076 (33.5) 369 448 (5.1) 26 397 (5.5) 5 302 (9.4) 9
Secondary 12 582 (41.9) 345 2317 (26.3) 118 4037 (55.8) 29 146 (4.5) 6
BSc/MSc 297 (1.0) 5 78 (0.9) 2 706 (9.8) 1 3 (0.1) 1
Missing 53 2 244 3 2 0
Illiterate No 21 516 (71.5) 654 2709 (30.7) 141 5328 (73.7) 42 710 (22.0) 25
Yes 8585 (28.5) 386 6108 (69.3) 377 1906 (26.3) 19 2510 (78.0) 94
Missing 14 1 244 3 2 0
Household wealth Poorest 10 046 (33.4) 413 1565 (17.8) 110 1745 (23.3) 23 1792 (55.8) 73
(tertiles)b Middle 10 839 (36.0) 369 3667 (41.6) 225 3534 (47.3) 27 1138 (35.4) 38
Least poor 9228 (30.6) 259 3584 (40.7) 182 2199 (29.4) 14 283 (8.8) 8
Missing 2 0 1 1 9 0
1 ANC visit No 12 875 (42.8) 488 2541 (28.8) 169 2057 (27.5) 22 2676 (83.3) 98
Yes 17 236 (57.2) 553 6273 (71.2) 349 5421 (72.5) 42 535 (16.7) 21
Missing 4 0 3 0 11 0
4+ ANC visits No 25 350 (84.2) 897 6784 (76.9) 419 2483 (33.2) 33 3079 (95.6) 113
Yes 4764 (15.8) 144 2033 (23.1) 99 4995 (66.8) 31 141 (4.4) 6
Missing 1 0 2 0
Tetanus vaccination No 11 759 (39.0) 426 1485 (16.8) 110 474 (6.3) 13 215 (21.4) 8
Yes 18 354 (61.0) 615 7332 (83.2) 408 7004 (93.7) 51 790 (78.6) 33
Missing 2 0 2217 78
Premature No 28 332 (94.7) 672 8290 (94.9) 382 7082 (95.0) 27 3140 (97.5) 84
Yes 1600 (5.3) 362 445 (5.1) 130 374 (5.0) 15 82 (2.5) 35
Missing 183 7 82 6 22 22
Pregnancy complications No 25 495 (84.7) 775 6860 (77.8) 372 7334 (98.9) 0
Yes 4588 (15.3) 265 1957 (22.2) 146 80 (1.1) 0
Missing 32 1 64 64 3222 119
Seasonc Warm 7307 (24.3) 233 3106 (35.2) 157 1923 (25.7) 15 1407 (43.7) 44
Rainy 12 106 (40.2) 416 2944 (33.4) 158 2380 (31.8) 20 1013 (31.4) 30
Cold 10 702 (35.5) 392 2767 (31.4) 203 3175 (42.5) 29 802 (24.9) 45
Delivery location Home 23 487 (78.6) 773 7031 (79.9) 428 952 (12.7) 17 3162 (98.1) 115
Institutional 6403 (21.4) 260 1769 (20.1) 90 6526 (87.3) 47 60 (1.9) 4
Missing 225 8 17 0
Labour duration >24 h No 23 994 (79.7) 770 7511 (85.2) 405 7271 (97.3) 57 2618 (81.3) 81
Yes 6106 (20.3) 270 1305 (14.8) 113 202 (2.7) 2 604 (18.7) 38
Missing 15 1 1 0 5 5
Delivery complications No 27 898 (92.9) 881 7252 (82.3) 393 7359 (98.4) 59 1782 (55.3) 51
Yes 2123 (7.1) 157 1558 (17.7) 125 119 (1.6) 5 1439 (44.7) 68
Missing 94 3 7 0 1 0
Presentation Breech 559 (1.9) 75 96 (1.1) 29 18 (0.6) 3
Normal 25 955 (86.8) 868 8509 (97.6) 475 54 (4.5) 54 3186 (99.4) 115
Caesarean 3396 (11.4) 81 117 (1.3) 5 1136 (95.5) 9 2 (0.1) 0
Missing 205 17 95 9 6288 1 16 1
Mother died No 30 065 (99.8) 1034 8774 (99.5) 510 7475 (100.0) 63 3209 (99.6) 115
Yes 50 (0.2) 7 43 (0.5) 8 3 (0.0) 1 13 (0.4) 4
Sex of baby Male 15 536 (51.6) 615 4469 (50.7) 302 3939 (52.7) 38 1692 (52.5) 75
Female 14 579 (48.4) 426 4348 (49.3) 216 3538 (47.3) 25 1530 (47.5) 44
Missing 1 1
Multiple birth No 29 551 (98.1) 884 8613 (97.7) 449 7353 (98.3) 58 3162 (98.1) 110
Yes 564 (1.9) 157 204 (2.3) 69 125 (1.7) 6 60 (1.9) 9
Size at birth Small 5400 (17.9) 394 606 (6.9) 146 917 (12.4) 40 121 (3.8) 38
Normal 22 119 (73.5) 509 8150 (92.4) 366 4311 (58.1) 7 3042 (94.4) 74
Large 2595 (8.6) 138 61 (0.7) 6 2193 (29.6) 15 59 (1.8) 7
Missing 1 0 57 2
Looking abnormal No 21 973 (92.4) 592 8422 (95.6) 437 7432 (99.4) 53 3149 (97.7) 95
Yes 1810 (7.6) 254 392 (4.4) 80 46 (0.6) 11 73 (2.3) 24
Missing 6332 195 3 1
Breathed and cried No 3977 (13.2) 402 41 (0.5) 8 117 (1.6) 19
immediately Yes 26 138 (86.8) 639 8776 (99.5) 510 7359 (98.4) 43
Missing 2 2 3222 119
Condition Poor 1826 (6.1) 387 281 (3.2) 145
at 5 min Good 27 923 (93.9) 622 8441 (96.8) 351
Missing 366 32 95 22 7478 64 3222 119
Condition arms and legs Normal 23 598 (99.1) 788 8677 (98.4) 438
Floppy 174 (0.7) 47 112 (1.3) 71
Stiff 39 (0.2) 10 28 (0.3) 9
  Missing 6304 196     7478 64 3222 119
a

Maternal education: ‘no schooling’ was used as reference category instead of BSc/MSc, because the latter group is extremely small.

b

Household-wealth indicators included in the Principal Components Analysis were as follows: Bangladesh (electricity, radio/tape recorder, fan, television, telephone, generator, bicycle, fridge), Jharkhand/Odisha (India) (electricity, radio/tape recorder, fan, television, generator, bicycle, fridge), Mumbai (India) (electricity, radio/tape recorder, fan, television, telephone, bicycle, fridge). For Nepal, the wealth measure was based on predefined asset levels in the surveillance questionnaire, based on household ownership of one or more of the items on the list. These items were as follows: least poor (bus, truck, motorcycle, television, motor tractor, fridge, hand tractor, sewing machine/cassette player/fan/radio/camera/bicycle), middle (wall clock/iron), poorest (none of the above).

c

Season was defined as follows: Bangladesh (rainy: June–October; cold: November–February; warm: March–May), Jharkhand/Odisha (India) (rainy: July–October; cold: November–February; warm: March–June), Mumbai (India) (rainy: June–September; cold: November–March; warm: October, April–May), Nepal (rainy: June–mid-September; cold: mid-November to mid-February; warm: mid-September to mid-November and mid-February to May).