title: Differences in the physical growth of US-born black and white children and adolescents ages 2-19, born 1942-2002.
abstract: OBJECTIVE
  The present study estimates differences in the trend and in the age-by-height profiles of US-born non-Hispanic black and white children and adolescents born 1942-2002.
  
  
  METHODS
  The combined NHES and NHANES data sets stratified by ethnicity and gender were used. The differences in height-for-age z-scores (HAZ) were decomposed into an age effect and a secular trend effect using a non-linear regression model.
  
  
  RESULTS
  The tempo of growth among blacks is faster than among whites. Black girls are more than 0.3sigma taller than white girls between the ages of 3 and 11. At age 9 this amounts to some 2.7 cm. White boys catch up to black boys at age 14 and white girls catch up at age 15 and are taller thereafter. At age 19 whites are only slightly taller: By 0.12sigma (0.8 cm) for boys and 0.03sigma (0.2 cm) among girls. The cumulative effect of the differences in the secular trend is considerable. Between the birth cohorts of the mid-1950s and the beginning of the new century blacks gained some 0.17sigma (girls) and 0.23sigma (boys) relative to white HAZ values.
  
  
  CONCLUSIONS
  Blacks have a faster tempo of linear growth in childhood partly on account of their nutritional habits, as girls in particular tend to have higher BMI values, and partly probably because of genetic differences.
authors.affiliation: Department of Economics, University of Munich, 80539 Munich, Germany. John.Komlos@gmx.de
authors.forename: John
authors.initials: J
authors.lastname: Komlos
authors.forename: Ariane
authors.initials: A
authors.lastname: Breitfelder
mesh_terms: D000293:Adolescent; D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D000886:Anthropometry; D001827:Body Height; D015992:Body Mass Index; D001835:Body Weight; D002648:Child; D002675:Child, Preschool; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D009749:Nutrition Surveys; D009752:Nutritional Status; D012016:Reference Values; D012737:Sex Factors; D013997:Time Factors; D014481:United States; D044465:White People / Q000706:statistics & numerical data*