Skip to main content

Table 3 Logistic regression analysis of differences in birth outcomes between babies born before and during the COVID-19 lockdown (During vs. Before)

From: Adverse pregnancy outcomes during the COVID-19 lockdown. A descriptive study

Dependent variable

ORa

95% confidence interval

p-value

Gestational age (reference: full term)

 Extremely preterm (< 28 weeks)

0.88

0.66

1.18

0.397

 Very preterm (28 to 32 weeks)

0.95

0.78

1.17

0.633

 Moderate-to-late preterm (32 to 37 weeks)

0.98

0.90

1.07

0.673

Birth weight (reference: normal birth weight)

 Low birth weight

1.08

0.99

1.16

0.073

 Very low birth weight

0.84

0.68

1.04

0.111

 Extremely low birth weight

0.39

0.30

0.50

0.000

Small for gestational age

1.07

0.98

1.17

0.121

Stillbirth (yes vs. no)

1.07

0.83

1.38

0.591

Neonatal death (yes vs. no)

0.87

0.70

1.09

0.227

Perinatal death (yes vs. no)

0.96

0.80

1.14

0.624

  1. a Adjusted for independent variables: mother’s age, income, education, occupation, nationality, health sector, and multiplicity. Gestational age and birth weight were analyzed using separate multinomial logistic regression; one model for each outcome. The outcomes (small for gestational age, stillbirth, neonatal death, and perinatal death) were analyzed using separate binary logistic regression; one model for each outcome