Table 4.
Variables | Model 1 | Model 2 | Model 3 |
---|---|---|---|
Number of cases | 637 | 643 | 543 |
Age (years) | |||
≤ 30 | Ref | Ref | Ref |
> 30 | 1.67 (1.17, 2.38) | 1.83 (1.29, 2.61) | 1.83 (1.24, 2.70) |
Pre-gestational BMI (kg/m2) | 1.16 (1.09, 1.23) | 1.17 (1.10, 1.24) | 1.16 (1.09, 1.24) |
Number of COVID-19 cases in resident region | |||
≤ 500 | Ref | Ref | Ref |
> 500 | 2.48 (1.75, 3.53) | 2.54 (1.79, 3.63) | 2.72 (1.85, 4.03) |
History of metabolic disease | |||
No | Ref | Ref | Ref |
Yes | 1.31 (0.86, 2.01) | 1.31 (0.85, 2.01) | - |
Getting nutrition instruction | |||
No | Ref | Ref | Ref |
Yes | 1.22 (0.84, 1.77) | 1.36 (0.93, 2.00) | 1.13 (0.75, 1.70) |
Gestational weight gain | |||
Optimal | Ref | Ref | Ref |
Low | 1.23 (0.79, 1.92) | 1.27 (0.81, 1.97) | 1.01 (0.61, 1.64) |
Excess | 1.74 (1.17, 2.59) | 1.79 (1.20, 2.68) | 1.70 (1.10, 2.64) |
Multivariate logistic regression models were conducted to estimate odds ratios
Model 1: Participants with preterm (N = 38) or post-term (N = 3) birth were excluded
Model 2: Participants with fetal macrosomia (N = 34) or whose infant’s birth weight was missing (N = 1) were excluded
Model 3: Participants with metabolic diseases were excluded (N = 135)
BMI body mass index, COVID-19 2019 novel coronavirus, OR odds ratio, Ref reference