Xin-Qi Zhong1, Qi-Liang Cui. 1. Department of Pediatrics, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China. cuiqiliang@21cn.com.
Abstract
OBJECTIVE: To compare the risk factors between preterm and small-for-gestational-age (SGA) births. METHODS: A total of 1 270 newborns who had no obstetric risk factors or maternal diseases were enrolled in this study. Their mothers' stature, body weight, passive smoking, and history of abnormal pregnancy were investigated using the self-designed questionnaire. The infants were divided into four groups: preterm, appropriate-for-gestational-age (AGA), SGA, and term infants. Multivariate logistic regression analysis was performed to compare the risk factors between preterm and SGA births. RESULTS: A weight gain less than 9 kg during pregnancy increased the risks of preterm (OR=1.63, 95% CI: 1.12-2.07) and SGA (OR=1.92, 95% CI: 1.56-2.58). The histories of abortion (OR=1.46, 95% CI: 1.09-1.93) and preterm birth (OR=2.63, 95% CI: 1.81-3.92) were independent risk factors for preterm births, while low pre-pregnancy body mass index (<18.5) (OR=2.16, 95% CI: 1.53-3.16), short stature (<1.55 m) (OR=2.46, 95% CI: 1.78-3.48), and passive smoking (OR=2.24, 95% CI: 1.65-2.98) were independent risk factors for SGA births. CONCLUSIONS: Due to different risk factors between preterm and SGA births, specific preventive measures should be taken pertinently to reduce the incidence of the two bad pregnancy outcomes.
OBJECTIVE: To compare the risk factors between preterm and small-for-gestational-age (SGA) births. METHODS: A total of 1 270 newborns who had no obstetric risk factors or maternal diseases were enrolled in this study. Their mothers' stature, body weight, passive smoking, and history of abnormal pregnancy were investigated using the self-designed questionnaire. The infants were divided into four groups: preterm, appropriate-for-gestational-age (AGA), SGA, and term infants. Multivariate logistic regression analysis was performed to compare the risk factors between preterm and SGA births. RESULTS: A weight gain less than 9 kg during pregnancy increased the risks of preterm (OR=1.63, 95% CI: 1.12-2.07) and SGA (OR=1.92, 95% CI: 1.56-2.58). The histories of abortion (OR=1.46, 95% CI: 1.09-1.93) and preterm birth (OR=2.63, 95% CI: 1.81-3.92) were independent risk factors for preterm births, while low pre-pregnancy body mass index (<18.5) (OR=2.16, 95% CI: 1.53-3.16), short stature (<1.55 m) (OR=2.46, 95% CI: 1.78-3.48), and passive smoking (OR=2.24, 95% CI: 1.65-2.98) were independent risk factors for SGA births. CONCLUSIONS: Due to different risk factors between preterm and SGA births, specific preventive measures should be taken pertinently to reduce the incidence of the two bad pregnancy outcomes.