title: [Association between gestational weight gain and preterm birth: a retrospective epidemiological analysis in Wuhan].
abstract: OBJECTIVE
  To understand the influence of gestational weight gain(GWG)on preterm birth in Wuhan.
  
  
  METHODS
  The retrospective epidemiological study was conducted in Wuhan Medical and Health Center for Women and Children between 2012 and 2014. Women who went to this hospital for antenatal care or giving birth were selected. Information was collected by using questionnaires, health care manual and clinical records. We used restricted cubic spline and multivariate logistic regression analysis to study the relationship between GWG and preterm birth.
  
  
  RESULTS
  A total of 11 323 pregnant women participated in the investigation with 11 020(97.32%)of them eligible for our study. The results from the restricted cubic spline indicated that after adjusting for confounding factors, a U-curve was observed for GWG and preterm births(non-linearity test P< 0.001). Multivariate logistic regression analysis also indicated that both inadequate GWG(weight gain<P10)and excessive GWG(weight gain>P90)were independent risk factors for preterm birth compared with normal GWG(weight gain P10-P90)with odds ratios of 1.59(1.25-2.01)and 1.46(1.13-1.88), respectively.
  
  
  CONCLUSIONS
  Inappropriate GWG was the risk factor for preterm birth. Weight monitoring should be strengthened for pregnant women to reduce risk of preterm birth.
authors.affiliation: Department of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
authors.forename: D D
authors.initials: DD
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
authors.forename: D X
authors.initials: DX
authors.lastname: Tan
authors.affiliation: Department of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
authors.forename: B
authors.initials: B
authors.lastname: Wang
authors.affiliation: Wuhan Medical and Health Center for Women and Children, Wuhan 430015, China.
authors.forename: X N
authors.initials: XN
authors.lastname: Cai
authors.affiliation: Wuhan Medical and Health Center for Women and Children, Wuhan 430015, China.
authors.forename: A F
authors.initials: AF
authors.lastname: Zhou
authors.affiliation: Wuhan Medical and Health Center for Women and Children, Wuhan 430015, China.
authors.forename: B
authors.initials: B
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
authors.forename: Y Y
authors.initials: YY
authors.lastname: Li
authors.affiliation: Department of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
authors.forename: W
authors.initials: W
authors.lastname: Xia
authors.affiliation: Department of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
authors.forename: Y H
authors.initials: YH
authors.lastname: Xu
mesh_terms: D000328:Adult; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D007236:Infant, Small for Gestational Age; D016017:Odds Ratio; D050177:Overweight / Q000150:complications / Q000453:epidemiology*; D011247:Pregnancy; D011248:Pregnancy Complications / Q000453:epidemiology* / Q000209:etiology; D011256:Pregnancy Outcome; D037841:Pregnant People; D047928:Premature Birth / Q000453:epidemiology* / Q000208:ethnology*; D012044:Regression Analysis; D012189:Retrospective Studies; D012307:Risk Factors; D011795:Surveys and Questionnaires; D015430:Weight Gain