Table 1.
Birth characteristics of participants in the 12 studies in the CLIC pooled analysis of fetal growth
CLIC Study (citation for birth weight centile) | Birth Weight (grams) | Term pregnanciesa | Birth weight for gestational age | LGA cut-off at 40 weeks gestation (grams) | Additional Covariatesb | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||
cases | controls | cases | controls | Cases | controls | males | females | |||||||
| ||||||||||||||
mean | SD | mean | SD | n | % | n | % | % (95% CI) | % (95% CI) | |||||
Australia 29 | 3,493 | 518 | 3,456 | 526 | 329 | (93.7) | 767 | (94.0) | SGA | 5.7 (3.3, 8.1) | 10.3 (8.2, 12.4) | 4,170 | 4,000 | Ethnicity, birth order, mother’s age, parental education, SESc |
LGA | 16.0 (12.2, 19.8) | 13.1 (10.8, 15.4) | ||||||||||||
UK 30 | 3,416 | 534 | 3,366 | 530 | 1,221 | (93.3) | 2,496 | (93.7) | SGA | 6.9 (5.5, 8.3) | 7.4 (6.4, 8.4) | 4,070 | 3,900 | Birth order, ethnicity, parental education |
LGA | 14.4 (12.2, 19.8) | 11.3 (10.1, 12.5) | ||||||||||||
USA (NCCLS) 11 | 3,486 | 562 | 3,459 | 526 | 577 | (92.9) | 835 | (94.1) | SGA | 10.0 (7.6, 12.4) | 9.6 (7.7, 11.5) | 4,166 | 4,024 | Mother’s age, parental education, household income, birth order |
LGA | 15.3 (12.5, 18.1) | 11.8 (9.7, 13.9) | ||||||||||||
Germany 31 | 3,453 | 529 | 3,435 | 515 | 651 | (94.5) | 2,179 | (96.4) | SGA | 11.2 (8.8, 13.6) | 11.5 (10.2, 12.8) | 4,170 | 4,000 | Birth order, parental education |
LGA | 10.2 (7.9, 12.5) | 8.0 (6.9, 9.1) | ||||||||||||
USA (COG) 3 | 3,473 | 531 | 3,446 | 532 | 1,548 | (95.0) | 1,620 | (94.8) | SGA | 7.9 (6.6, 9.2) | 9.4 (8.0, 10.8) | 4,115 | 3,960 | Mother’s age, parental education, income |
LGA | 13.0 (11.4, 14.6) | 11.2 (9.7, 12.7) | ||||||||||||
France (ESCALE) 32 | 3,350 | 481 | 3,315 | 504 | 560 | (94.1) | 1,478 | (93.7) | SGA | 10.3 (7.9, 12.7) | 10.1 (8.6, 11.6) | 3,964 | 3,796 | Year of birth, birth order, mother’s age, parental education, maternal smoking during pregnancy |
LGA | 13.9 (11.1, 16.7) | 13.2 (11.5, 14.9) | ||||||||||||
France (Electre) 12 | 3,354 | 502 | 3,347 | 495 | 292 | (89.3) | 449 | (93.2) | SGA | 5.5 (3.0, 8.0) | 6.0 (3.9, 8.1) | 4,035 | 3,864 | Birth order, mother’s age, parental education, maternal smoking during pregnancy |
LGA | 17.1 (13.0, 21.2) | 13.9 (10.8, 17.0) | ||||||||||||
France (Adele) 12 | 3,382 | 464 | 3,344 | 541 | 186 | (92.1) | 210 | (90.9) | SGA | 2.5 (0.3, 4.7) | 6.5 (3.3, 9.7) | 4,035 | 3,864 | Birth year, ethnicity, parental education |
LGA | 18.8 (13.4, 24.2) | 19.9 (14.8, 25.0) | ||||||||||||
Canada 33 | 3,358 | 509 | 3,345 | 328 | 660 | (94.3) | 684 | (95.4) | SGA | 13.0 (10.5, 15.5) | 16.7 (14.0, 19.4) | 4,200 | 4,000 | Birth order, maternal age, parental education, maternal smoking during pregnancy |
LGA | 7.4 (5.5, 9.3) | 7.8 (5.8, 9.8) | ||||||||||||
New Zealand 29 | 3450 | 515 | 3467 | 527 | 85 | (94.4) | 264 | (96.7) | SGA | 12.2 (5.4, 19.0) | 11.7 (7.9, 15.5) | 4,170 | 4,000 | Ethnicity, parental education, maternal smoking during pregnancy |
LGA | 12.2 (5.4, 19.0) | 9.2 (5.8, 12.6) | ||||||||||||
Greece 34 | 3310 | 481 | 3256 | 518 | 374 | (93.7) | 272 | (91.9) | SGA | 8.5 (5.8, 11.2) | 10.5 (7.0, 14.0) | 3,990 | 3,827 | Nationality, birth year, parental education, birth order, maternal age |
LGA | 14.5 (11.0, 18.0) | 14.9 (10.8, 19.0) | ||||||||||||
Brazil 35 | 3276 | 561 | 3069 | 609 | 352 | (92.6) | 435 | (88.2) | SGA | 9.5 (6.6, 12.4) | 11.6 (8.8, 14.4) | 4,025 | 4,025 | Birth year, ethnicity, maternal age, parental education. |
LGA | 18.2 (14.3, 22.1) | 13.2 (10.2, 16.2) | ||||||||||||
| ||||||||||||||
Pooled Group | 3415 | 527 | 3381 | 532 | 6835 | (93.7) | 11689 | (94.2) | SGA | 8.7 (8.1, 9.3) | 9.9 (9.4, 10.4) | |||
LGA | 13.5 (12.7, 14.3) | 11.3 (10.7, 11.9) |
Term children defined as more than or equal to 37 weeks gestation
These are variables that were considered potential confounders for each study individually (in addition to the frequency-matching variables mentioned in Supplementary Table 1), as used in individual study meta-analysis.
An area-based index of socioeconomic advantage/disadvantage.