title: [A dose-response analysis on the association of gestational weight gain rate and the normal term neonate birth weight].
abstract: OBJECTIVE
  To examine the dose-response relationship between gestational weight gain rate and the neonate birth weight.
  
  
  METHODS
  A total of 18 868 women with singleton gestations who delivered between January 2006 and December 2013 were included in this study. Maternal and neonate details of these women were drawn from the Perinatal Monitoring System database. Gestational weight gain rate was defined as the total weight gain during the last and first prenatal care visits divided by the interval weeks. Both Multiple logistic regression analysis and restricted cubic spline methods were performed. Confounding factors included maternal age, education, pre-pregnancy body mass index (BMI), state of residence, parity, gestational weeks of prenatal care entry, and sex of the neonate.
  
  
  RESULTS
  The adjusted odds ratio for macrosomia was associated with gestational weight gain rate in lower pre-pregnancy BMI (OR = 3.15, 95% CI: 1.40-7.07), normal (OR = 3.64, 95% CI: 2.84-4.66) or overweight (OR = 2.37, 95% CI: 1.71-3.27). The odds ratios of low birth weight appeared a decrease in those women with lower pre-pregnancy BMI (OR = 0.28, 95% CI: 0.13-0.61) while the normal weight (OR = 0.37, 95% CI: 0.22-0.64) group with gestational weight gain, the rate showed an increase. Association of gestational weight gain rate for macrosomia was found a S-curve in those term delivery women (non-linearity test P < 0.000 1). However, L-curve was observed for low birth weight and gestational weight gain rate in term births (non-linearity test P < 0.000 1).
  
  
  CONCLUSIONS
  A S-curve was seen between gestational weight gain rate and term delivered macrosomia while L-curve was observed among term delivered low birth weight neonates.
authors.affiliation: Department of Obstetrics and Gynecology, Kunshan First People's Hospital, Jiangsu 215300, China; Affiliated Kunshan Hospital of Jiangsu University.
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Mao
authors.affiliation: Kunshan Center for Disease Control and Prevention.
authors.forename: Wenbin
authors.initials: W
authors.lastname: Hu
authors.affiliation: Department of Obstetrics and Gynecology, Kunshan First People's Hospital, Jiangsu 215300, China; Affiliated Kunshan Hospital of Jiangsu University.
authors.forename: Qin
authors.initials: Q
authors.lastname: Liu
authors.affiliation: Department of Obstetrics and Gynecology, Kunshan First People's Hospital, Jiangsu 215300, China; Affiliated Kunshan Hospital of Jiangsu University.
authors.forename: Li
authors.initials: L
authors.lastname: Liu
authors.affiliation: Department of Obstetrics and Gynecology, Kunshan First People's Hospital, Jiangsu 215300, China; Affiliated Kunshan Hospital of Jiangsu University.
authors.forename: Yuanming
authors.initials: Y
authors.lastname: Li
authors.affiliation: School of Public Health, Medical Collage of Soochow University; Email: shenyueping@suda.edu.cn.
authors.forename: Yueping
authors.initials: Y
authors.lastname: Shen
mesh_terms: D001724:Birth Weight; D015992:Body Mass Index; D005260:Female; D006801:Humans; D007230:Infant, Low Birth Weight; D007231:Infant, Newborn; D008423:Maternal Age; D016017:Odds Ratio; D050177:Overweight; D010298:Parity; D011247:Pregnancy; D011248:Pregnancy Complications; D011295:Prenatal Care; D012307:Risk Factors; D015430:Weight Gain