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Science 22 June 2007:
Vol. 316. no. 5832, p. 1717
DOI: 10.1126/science.1141493

Brevia

Explaining the Relation Between Birth Order and Intelligence

Petter Kristensen1,2* and Tor Bjerkedal3

Negative associations between birth order and intelligence level have been found in numerous studies. The explanation for this relation is not clear, and several hypotheses have been suggested. One family of hypotheses suggests that the relation is due to more-favorable family interaction and stimulation of low-birth-order children, whereas others claim that the effect is caused by prenatal gestational factors. We show that intelligence quotient (IQ) score levels among nearly 250,000 military conscripts were dependent on social rank in the family and not on birth order as such, providing support for a family interaction explanation.

1 National Institute of Occupational Health, N-0033 Oslo, Norway.
2 Section for Preventive Medicine and Epidemiology, University of Oslo, N-0318 Oslo, Norway.
3 Institute of Epidemiology, Norwegian Armed Forces Medical Services, N-0015 Oslo, Norway.

* To whom correspondence should be addressed. E-mail: petter.kristensen{at}stami.no

The interest in the relation between birth order and intelligence dates back to Sir Francis Galton's English Men of Science (1). Galton found more firstborn sons in prominent positions than what he attributed to chance. This was the start of numerous studies; one of the most influential was a Science publication in 1973 showing a negative association between birth order and intelligence in young Dutch men (2). Since then, sociologists, psychologists, and demographers have proposed several explanatory models (3). The most influential models have emphasized explanations relating to interactions within the family and favorable conditions for intellectual stimulation for low-birth-order children.

Several researchers have claimed that the relation between birth order and intelligence is false, confounded by factors relating to family size: Families with low-intelligence children tend to be large, and the relation with birth order is an artifact when comparisons between families are made (3). This explanation would not produce birth order effects between siblings. Thus, the demonstration of small but notable birth order effects on intelligence quotient (IQ) in large studies examining relations within families (4, 5) contradicts the idea that artifact is the full explanation.

A third model claims that the relation is explained by prenatal or gestational factors. One hypothesis suggests an effect of maternal antibody attack on the fetal brain: Maternal antibody levels tend to increase by higher birth orders in a suggested mechanism parallel to rhesus incompatibility and erythroblastosis (6). It has been shown that children of mothers with autoimmune disease have an increased risk of learning disabilities [for example, (7)], but there are no empirical data to support immunoreactivity in explaining the birth order effect.

Some children have different social and biological ranks in the family. One example is children who grow up in families with deceased elder siblings. A social interaction effect within the family would result in higher scores for a secondborn who had lost an elder sibling than for subjects ranked second both socially and biologically. On the other hand, if the birth order effect was gestational, secondborn children who are raised as the eldest would have IQ scores equal to those of other secondborn children.

We have data on birth order, vital status of elder siblings, and IQ scores among male Norwegian conscripts (8). This gave us an opportunity to test the family interaction and the gestational explanations. We anticipated that men who had a biological rank different from the social rank would score better than males of similar birth order who had not experienced the early loss of elder siblings if the social interaction hypothesis was right, whereas similar scores would support the gestational hypothesis. Because children from families with an adverse reproductive history had a less-advantageous distribution on a number of factors associated with low IQ (8), we considered it important to adjust for those factors.

IQ scores were negatively associated with both birth order and social order (table S1). Linear regression showed that these associations were stronger in adjusted models and that the effect of birth order no longer was significant (P = 0.76) after accounting for social order (table S1).

The adjusted IQ scores in association with all combined categories of birth order and social order are given in Fig. 1. Conscripts of first rank in social terms, no matter their biological rank, scored equal to firstborn men, albeit the confidence interval for the birth order three result was wide. Men of birth order three who grew up as the second eldest child had IQ scores close to those of secondborns with no elder sibling loss.


Figure 1 Fig. 1. Relation between birth order and IQ score. Mean IQ scores for male conscripts, first-, second-, and thirdborn in Norway to mothers with single births only and first birth from 1967 through 1976, according to birth order and number of elder siblings who died in infancy (age < 1 year). Scores are adjusted for parental education level, maternal age at birth, sibship size, birth weight, and year of conscription. Error bars show 95% confidence intervals (CIs). Reference: birth order one. [View Larger Version of this Image (18K GIF file)]
 

This study provides evidence that the relation between birth order and IQ score is dependent on the social rank in the family and not birth order as such. Furthermore, conscripts with loss of siblings are disadvantaged compared with conscripts with no such loss regarding several factors associated with intelligence. Therefore, higher scores in the former group are hardly compatible with the artifact hypothesis.


References

  • 1. F. Galton, English Men of Science (MacMillan, London, 1874).
  • 2. L. Belmont, F. A. Marolla, Science 182, 1096 (1973).[Abstract/Free Full Text]
  • 3. J. L. Rodgers, H. H. Cleveland, E. van den Oord, D. C. Rowe, Am. Psychol. 55, 599 (2000). [CrossRef] [Medline]
  • 4. R. G. Record, T. McKeown, J. H. Edwards, Ann. Hum. Genet. 33, 61 (1969). [Web of Science] [Medline]
  • 5. T. Bjerkedal, P. Kristensen, G. A. Skjeret, J. I. Brevik, Intelligence 35, 10.1016/j.intell.2007.01.004 (2007).
  • 6. T. Gualtiery, R. E. Hicks, Behav. Brain Sci. 8, 427 (1985). [Web of Science]
  • 7. G. Ross, L. Sammaritano, R. Nass, M. Lockshin, Arch. Pediatr. Adolesc. Med. 157, 397 (2003).[Abstract/Free Full Text]
  • 8. Materials and methods are available as supporting material on Science Online.
  • 9. This study is part of a project funded by the Research Council of Norway (grant no. 161321/V50).

Supporting Online Material

www.sciencemag.org/cgi/content/full/316/5832/1717/DC1

Materials and Methods

SOM Text

Table S1

References


Received for publication 20 February 2007. Accepted for publication 30 April 2007.



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