Skip to main content

Table 3 Comparison of risks of adverse neonatal outcomes between Asians and Caucasians, Ontario, Canada, April 1st, 2015-March 31st, 2017 (N = 69,734)

From: Comparison of adverse perinatal outcomes between Asians and Caucasians: a population-based retrospective cohort study in Ontario

Neonatal outcome

Asian

Caucasian

(reference)

Adjusted RR (95% CI)

Adjusted RD (95%CI)

n

%

n

%

Sentinel Congenital Anomalies

1046

1.43

2938

1.79

0.90 (0.83, 0.98)

−0.10 (−0.18, −0.03)

Low birth weight (< 2500 g)

5089

7.00

7160

4.40

1.81 (1.77, 1.85)

0.59 (0.55, 0.63)

Low birth weight (< 1500 g)

756

1.04

1229

0.76

1.59 (1.49, 1.69)

0.46 (0.36, 0.56)

Macrosomia (> 4000 g)

3459

4.76

19,214

11.80

0.43 (0.39, 0.46)

−0.85 (−0.89, − 0.82)

Small-for-gestational-age neonates (<10th percentile)

10,396

14.35

12,229

7.56

1.93 (1.91, 1.96)

0.66 (0.63, 0.69)

Small-for-gestational-age neonates (<3rd percentile)

2703

3.73

2879

1.78

2.19 (2.14, 2.25)

0.78 (0.73, 0.84)

Large-for-gestational-age neonates (>90th percentile)

3610

4.98

17,660

10.92

0.50 (0.46, 0.53)

−0.70 (−0.73, −0.66)

5- min Apgar score < 7

1219

1.69

3742

2.32

0.89 (0.82, 0.96)

−0.11 (− 0.18, − 0.05)

Arterial cord pH ≤ 7.1

2595

4.04

8704

6.11

0.71 (0.66, 0.76)

−0.34 (− 0.39, − 0.30)

NICU admission

8529

11.65

18,796

11.46

1.18 (1.16, 1.21)

0.17 (0.14, 0.19)

Hyperbilirubinemia requiring treatment

4300

6.95

8132

5.52

1.41 (1.37, 1.45)

0.35 (0.31, 0.38)

  1. RR relative risk, CI confidence interval, RD risk difference, NICU neonatal intensive care unit
  2. 1. Generalized estimating equations with a log link function and a poisson distribution were used to estimate the relative risks of the outcomes.
  3. 2. Covariates included in the adjusted models for each outcome were selected covariates that showed univariate association of P < 0.05 with both the exposure and the outcome were included in the adjusted model. The covariate for each outcome was fit separately
  4. 3. A fully conditional specification method was used to impute missing values, assuming a joint distribution for all variables. Five imputed datasets were created