title: Sex ratios: are there natural variations within the human population?
abstract: OBJECTIVE
  To investigate on a population basis the suggestion that certain factors naturally alter the odds of having a boy or a girl, and that some women are predisposed towards having children of one particular gender.
  
  
  METHODS
  Routine data analysis.
  
  
  METHODS
  Routinely collected data on singleton infants born in Scotland from 1975 to 1988, linked so that births (live and still) to the same mother could be identified. The analyses relate to 549,048 first to fifth order births occurring to 330,088 women whose records were complete from the first delivery onwards.
  
  
  METHODS
  Gender of infant.
  
  
  RESULTS
  Of 549,048 births, 51.4% were male. Apart from random variation, the sex ratio of 1.06 remained constant at all birth orders (P = 0.18). The probability of a male infant appeared unrelated to the genders of the preceding siblings (P > 0.20 in second to fifth deliveries), and there was no evidence of variation with maternal age (P = 0.31), maternal height (P = 0.69), paternal social class (P = 0.12), maternal social class (P = 0.57), year of delivery (P = 0.84) or season of birth (P = 0.41). Whilst mothers whose children were all the same gender were more likely to continue childbearing than those with children of different genders, there was no evidence that those with daughters were more likely to continue than those with sons.
  
  
  CONCLUSIONS
  The suggestion that some women have a natural predisposition towards having children of a particular gender is not supported by these data. On a population basis there is no evidence to suggest that gender determination is anything other than a chance process.
authors.affiliation: Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK.
authors.forename: N
authors.initials: N
authors.lastname: Maconochie
authors.forename: E
authors.initials: E
authors.lastname: Roman
mesh_terms: D001722:Birth Order; D005191:Family Characteristics; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D011159:Population Surveillance; D012606:Scotland / Q000453:epidemiology; D012744:Sex Ratio