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. 2020 Oct 10;25:60. doi: 10.1186/s12199-020-00899-w

Table 4.

Subgroup analysis of multivariate analysis on exploring associated factors of delivery mode

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