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. 2023 Oct 9;11(4):66. doi: 10.3390/medsci11040066

Table 2.

Multivariate binary logistic regression analysis for caesarean section.

Characteristics Caesarean Section
RR * (95% CI **) p-Value
Age (below/over mean value) 1.58 (1.25–1.91) p = 0.0048
Ethnicity (Greek/other) 0.97 (0.34–1.67) p = 0.5503
Pre-pregnancy BMI (underweight or normal/overweight or obese) 2.14 (1.91–2.40) p = 0.0008
Educational status (below/over mean value) 1.43 (0.88–1.99) p = 0.1705
Financial status (low or medium/high) 1.31 (0.92–1.76) p = 0.0387
Smoking habits (No/Yes) 1.72 (1.28–2.38) p = 0.0412
Parity (Nulliparity/Multiparity) 1.20 (0.83–1.73) p = 0.1433
Gestational weight gain (below/over mean value) 1.26 (0.96–1.62) p = 0.0094
Preterm birth (No/Yes) 1.84 (1.59–2.09) p = 0.0012
Gestational diabetes (No/Yes) 1.07 (0.23–2.04) p = 0.8498
Gestational hypertension (No/Yes) 1.18 (0.69–1.85) p = 0.2085
Exclusive breastfeeding (No/Yes) 0.44 (0.19–0.68) p = 0.0002
Type of hospital of delivery (public/private) 2.05 (1.78–2.41) p = 0.0021

* Relative Risk: RR; ** CI: Confidence Interval.