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Table 3 Univariate analysis of possible influencing factors of macrosomia

From: Association between parity and macrosomia in Shaanxi Province of Northwest China

VariablesβStandard ErrorWaldχ2POR (95% CI)
Maternal age
 Y < 25−0.4220.05754.138<0.0010.656 (0.586, 0.734)
 25 ≤ Y < 30Ref
 Y ≥ 300.0470.0600.6150.4331.048 (0.932, 1.180)
Gestational age
 W < 37−0.9830.22818.584<0.0010.374 (0.239, 0.585)
 37 ≤ W < 42Ref
 W ≥ 420.4140.12910.2720.0011.513 (1.175, 1.950)
Region
 Southern ShaanxiRef
 Central Shaanxi0.1550.0645.7990.0161.167 (1.029, 1.324)
 Northern Shaanxi0.0970.0741.7510.1861.102 (0.954, 1.274)
Mother’s education
 Junior high school and belowRef
 Senior high school0.1380.0624.9920.0251.148 (1.017, 1.297)
 College and above0.4280.05953.505<0.0011.534 (1.368, 1.721)
Household Wealth Index
 PoorestRef
 Middle0.1800.0657.5970.0061.197 (1.053, 1.361)
 Richest0.4230.07432.368<0.0011.527 (1.320, 1.766)
Residence
 Urban areaRef
 Rural area−0.4350.05465.737<0.0010.647 (0.582, 0.719)
Mother’s occupation
 Peasant/Housework−0.2380.04923.820<0.0010.788 (0.717, 0.867)
 OtherRef
Parity
 PrimiparaRef
 Multipara0.1700.04912.290<0.0011.186 (1.078, 1.304)
Gestational diabetes
 NoRef
 Yes1.1390.32112.619<0.0013.123 (1.666, 5.855)
Sex
 BoyRef
 Girl−0.6020.051139.141<0.0010.548 (0.496, 0.605)