Foetal size to final height.
It is well known that some adult diseases, such as cardiovascular diseases, may be programmed during foetal life. It is not clear, however, whether final height may be predicted from foetal growth. A longitudinal cohort of full-term healthy Swedish babies (n = 3,650) was followed up from birth to maturity in a population-based growth study. Length or height and its changes were analysed from birth to 18 y of age; 2,807 children, with data available on birth length, final height and parental height, were included in this analysis. The result clearly shows that length at birth relates to final height. In terms of standard deviation scores (SDS), the mean difference in length at birth from the mean was greatly decreased in final height, but retained the same order as was seen at birth. In terms of centimeter difference from the reference mean values, the difference in length at birth remained roughly stable into final height. For instance, babies 5 cm above or below the mean birth length will end up approximately 5 cm above or below the mean in final height. Parental height-a surrogate value of the genetic final height potential of an individual-is shown to influence postnatal growth in height strongly. However, the difference from the mean in length at birth remained into adulthood within the same midparental height group.


CONCLUSIONS
This study reveals that trends in foetal linear growth continue into maturity. Foetal growth is a significant predictor of postnatal growth. Final height is dependent on both the magnitude of foetal growth and the genetic potential in stature, and appears to some extent to be programmed from foetal growth.
Karlberg
J
J
Department of Paediatrics, Queen Mary Hospital, University of Hong Kong, Pokfulam, Hong Kong SAR, PR China. jpekarl@hkucc.hku.hk
Luo
Z C
ZC
D000293:Adolescent; D001827:Body Height / Q000235:genetics; D015992:Body Mass Index; D005314:Embryonic and Fetal Development; D006128:Growth; D006801:Humans; D007231:Infant, Newborn; D008137:Longitudinal Studies; D012016:Reference Values; D012044:Regression Analysis