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. Author manuscript; available in PMC: 2020 Jul 13.
Published in final edited form as: J Proteome Res. 2020 Feb 27;19(4):1361–1374. doi: 10.1021/acs.jproteome.9b00319

Table 1.

Demographical and Clinical Characteristics in Obese and Control Groups

mean (SD)
control (n = 29) case (n = 28) P-valuea confounderb SOVc
maternal age, years 32.48 (5.66) 32.10 (4.88) 0.78 yes 0.79
paternal age, years 34.68(7.14) 35.21(6.43) 0.79 yes 0.94
prepregnancy BMI, kg/m2 21.89(1.86) 33.51(4.49) 1.12 × 10−14 yes 1.61
gestational age, weeks 39.04(0.218) 38.93(0.45) 0.3812 not included
net weight gain 30.85(10.92) 29.4(13.55) 0.7335
baby weight (kg) 3.29(0.32) 3.54(0.5) 0.03
head circle (cm) 34.89(1.10) 35.55(1.36) 0.05
baby length (cm) 51.3(1.9) 51.4(2.36) 0.8
parity 0.03 yes 0.80
0 5 2
1 16 7
2 7 10
3 and above 1 9
gravidity 0.12 yes 0.98
1 5 1
2 12 5
3 7 8
4 and above 5 14
maternal ethnicity 0.01 yes 0.73
Caucasian 6 4
Asian 16 7
Pacific island 7 17
paternal ethnicity 0.03 yes 0.88
Caucasian 8 3
Asian 14 9
Pacific island 7 16
a

Categorical variables were compared using χ2 test, whereas continuous variables were compared using t-test.

b

Yes if the factor is accounted for when building the classifier model.

c

Source of variation of the factor. It represents the contribution of the factor to the variability of the metabolomics data. It is the F-stats that were taken from a linear regression ANOVA model comprising maternal and paternal age, ethnicity, parity, and gravidity (Figure 1A).