title: Predictors of human gestational length.
abstract: OBJECTIVE
  Our objective was to identify statistically significant variables that determine the length of human gestation.
  
  
  METHODS
  Multiple linear regression was used to analyze 9355 observations from the Delivery Interview Program, a cross-sectional study conducted from 1977 through 1980 at the Boston Hospital for Women (now called the Brigham and Women's Hospital).
  
  
  RESULTS
  Maternal parity, age, and race were found to be the most important variables determining the length of human gestation. Multiparous women, women aged < 19 or > 34 years, and black women were found to have shorter gestations than primiparous women, women aged 19 to 34 years, or white women.
  
  
  CONCLUSIONS
  By means of our linear model the length of pregnancy for women with different risk factors can be estimated more precisely than Naegele's rule allows.
authors.affiliation: Department of Epidemiology, Harvard School of Public Health.
authors.forename: R
authors.initials: R
authors.lastname: Mittendorf
authors.forename: M A
authors.initials: MA
authors.lastname: Williams
authors.forename: C S
authors.initials: CS
authors.lastname: Berkey
authors.forename: E
authors.initials: E
authors.lastname: Lieberman
authors.forename: R R
authors.initials: RR
authors.lastname: Monson
mesh_terms: D000328:Adult; D005260:Female; D005544:Forecasting; D006801:Humans; D008423:Maternal Age; D011247:Pregnancy / Q000502:physiology*; D011248:Pregnancy Complications; D012044:Regression Analysis; D013997:Time Factors