Clin Nutr Res.  2015 Apr;4(2):104-109. 10.7762/cnr.2015.4.2.104.

Weight Gain in Pregnancy, Maternal Age and Gestational Age in Relation to Fetal Macrosomia

• Li Y
• Liu QF
• Zhang D
• Shen Y
• Ye K
• Lai HL
• Wang HQ
• Hu CL
• Zhao QH
• Li L

• KMID: 2279356
• DOI: http://doi.org/10.7762/cnr.2015.4.2.104

Abstract

To investigate the possible risk factors related to macrosomia. Pregnant women and their newborns (n = 1041) were recruited from a cohort study in Maternal and Child Care Center of Hefei from January 2011 to July 2012. Questionnaires were applied to collect the demographic data besides the medical records. Detailed health records of the entire pregnancy were obtained using retrospective study. Meanwhile the data of neonatal outcomes was prospectively tracked. Associations between exposure risk factors and macrosomia were analyzed using Pearson's chi squared test. Logistic regression models were used to assess the independent association between these potential predictors and macrosomia. The incidence of macrosomia of this cohort was 11.24% of which male: female = 2.55:1. Male incidence (8.07%)of macrosomia was higher than female (3.17%), p < 0.001. Body mass index (BMI) before pregnancy (pre-BMI), maternal height, parity were not independently associated with macrosomia; Multiple logistic regression analysis indicated that macrosomia was mainly independently associated with weight gain in pregnancy (OR=1.14, 95% CI [1.10-1.19]), maternal age (OR = 1.09, 95% CI [1.03-1.15]) and gestational age (OR = 1.62, 95% CI [1.31-1.99]), respectively. Our findings indicate that weight gain in pregnancy, maternal age and gestational age should be considered as independent risk factors for macrosomia.

Keyword

Body mass index; Fetal macrosomia; Pregnancy; Risk factors

MeSH Terms

Body Mass Index
Child
Child Care
Cohort Studies
Female
Fetal Macrosomia*
Gestational Age*
Humans
Incidence
Infant, Newborn
Logistic Models
Male
Maternal Age*
Medical Records
Parity
Pregnancy*
Pregnant Women
Prospective Studies
Retrospective Studies
Risk Factors
Weight Gain*
Surveys and Questionnaires

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