Journal of Autism and Developmental Disorders

, Volume 23, Issue 4, pp 579–591 | Cite as

Sex differences in pervasive developmental disorders

  • Fred R. Volkmar
  • Peter Szatmari
  • Sara S. Sparrow

Abstract

Assessed differences in sex ratio, severity of associated mental retardation, and various metrics of severity of autism in autistic, PDD-NOS, and developmentally disordered (non-PDD) cases. Males with autism were more frequent than females, particular at higher IQ levels. The three clinical groups differed, in expected ways, in the various measures of severity of autism with the PDD-NOS cases being intermediate between the strictly diagnosed autistic group and the non-PDD developmental disordered group. Sex differences were primarily confined to IQ; sex differences in other metrics of severity of autism were not prominent. Implications for future research are discussed.

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References

  1. American Psychiatric Association. (1987).Diagnostic and statistical manual of mental disorders (3rd ed., rev.) Washington, DC: Author.Google Scholar
  2. Arthur, G. (1952).Leiter International Performance Scale. Washington, DC: Psychological Services Center.Google Scholar
  3. August, G., Stewart, M. A., & Tsai, L. (1981). The incidence of cognitive disabilities in siblings of autistic children.British Journal of Psychiatry, 138, 416–422.Google Scholar
  4. Baird, T. D., & August, G. J. (1985). Familial heterogeneity in infantile autism.Journal of Autism and Developmental Disorders, 15, 315–322.Google Scholar
  5. Dunst, C. J. (1980).A clinical and educational manual for use with the Uzgiris and Hunt Scales of Infant Psychological Development. Baltimore, MD: University Park Press.Google Scholar
  6. Fleiss, J. L. (1981).Statistical methods for rates and proportions. New York: Wiley.Google Scholar
  7. Gurling, H. (1986). Candidate genes and favored loci: Strategies for molecular genetic research into schizophrenia, manic depression, autism, alcoholism, and Alzheimer's disease.Psychiatric Developments, 4, 289–309.Google Scholar
  8. Jones, M. G., & Szatmari, P. (1988). Stoppage rules and genetic studies of autism.Journal of Autism and Developmental Disorders, 18, 31–40.Google Scholar
  9. Kaufman, A. S., & Kaufman, N. L. (1983).Kaufman Assessment Battery for Children. Circle Pines, MN: American Guidance Service.Google Scholar
  10. Krug, D. A., Arick, J. R., & Almond, P. G. (1980). Behavior checklist for identifying severely handicapped individuals with high levels of autistic behavior.Journal of Child Psychology and Psychiatry, 21, 221–229.Google Scholar
  11. Lord, C., Mulloy, C., Wendelboe, M., & Schopler, E. (1991). Pre- and perinatal factors in high-functioning females and males with autism.Journal of Autism and Developmental Disorders, 21, 197–209.Google Scholar
  12. Lord, C., & Schopler, E. (1987).Neurobiological Implications of sex differences in autism. In E. Schopler & G. Mesibov (Eds.)Neurobiological issues in autism (pp. 191–212). New York: Plenum Press.Google Scholar
  13. Lord, C., Schopler, E., & Revicki, D. (1982). Sex differences in autism.Journal of Autism and Developmental Disorders, 12, 317–330.Google Scholar
  14. Lotter, V. (1966). Epidemiology of autistic conditions in young children. I. Prevalence.Social Psychiatry, 1, 124–137.Google Scholar
  15. Ritvo, E. R., Freeman, B. J., Mason-Brothers, A., Mo., A., & Ritvo, A. M. (1985). Concordance for the syndrome of autism in forty pairs of affected twins.American Journal of Psychiatry, 142, 74–77.Google Scholar
  16. Ritvo, E. R., Jorde, L. B., Masoh-Brothers, A., Freeman, B. J., Pingree, C., Jones, M. D., McMahon, W. M., Petersen, P. B., Jenson, W. R., & Mo, A. (1980). The UCLA-University of Utah epidemiologic survey of autism: Recurrence risk, estimates and genetic counseling.American Journal of Psychiatry, 146, 1032–1036.Google Scholar
  17. Rutter, M., & Lockyer, L. (1967). A five to fifteen year follow-up study of infantile psychosis: I. Descriptive of sample.British Journal of Psychiatry, 113, 1169–1182.Google Scholar
  18. Rutter, M., Tizard, J., & Whitmore, L. (1981).Education, health, and behaviour. London: Longman Group; New York: Krieger. (Original work published 1970)Google Scholar
  19. Sparrow, S. S., Balla, D., & Cicchetti, D. V. (1984).Vineland Adaptive Behavior Scales. Circle Pines, MN: American Guidance Service.Google Scholar
  20. Thorndike, R. R. (1973).Stanford-Binet Intelligence Scale, Form L-M, 1972 Norms Tables. Boston: Houghton-Mifflin.Google Scholar
  21. Tsai, L., & Beisler, J. M. (1983). The development of sex differences in infantile autism.British Journal of Psychiatry, 142, 373–378.Google Scholar
  22. Tsai, L., Sterwart, M., & August, G. (1981). Implications of sex differences in the familial transmission of autism.Journal of Autism and Developmental Disorders, 11, 165–174.Google Scholar
  23. Uzgiris, I., & Hunt, J. McV. (1975)Assessment in infancy: Ordinal scales of psychological development. Urbana, IL: University of Illinois Press.Google Scholar
  24. Volkmar, F. R., Bregman, J., Cohen, D. J., & Cicchetti, D. V. (1988). DSM III and DSM-III-R Diagnoses of Autism.American Journal of Psychiatry, 145, 1404–1408.Google Scholar
  25. Wechsler, D. (1955).Wechsler Intelligence Scale for Children-Revised. New York: Psychological Corp.Google Scholar
  26. Wechsler, D. (1967).Wechsler Adult Intelligence Scale. New York: Psychological Corp.Google Scholar
  27. Wing, L. (1981). Sex ratios in early childhood autism and related conditions.Psychiatric Research, 5, 129–137.Google Scholar
  28. World Health Organization. (1990).International classification of diseases (10th rev.):Criteria for research. Geneva, Switzerland: Author.Google Scholar

Copyright information

© Plenum Publishing Corporation 1993

Authors and Affiliations

  • Fred R. Volkmar
    • 1
  • Peter Szatmari
    • 2
  • Sara S. Sparrow
    • 1
  1. 1.Child Study CenterYale UniversityUSA
  2. 2.Department of PsychiatryMcMaster UniversityCanada
  3. 3.Child Study CenterNew Haven

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