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Prenatal and perinatal risk factors for autism

  • Larry Burd , Robin Severud , Jacob Kerbeshian und Marilyn G. Klug
Veröffentlicht/Copyright: 1. Juni 2005
Journal of Perinatal Medicine
Aus der Zeitschrift Band 27 Heft 6

Abstract

Aim: To identify pre- and perinatal risk factors for autism.

Method: Case control study. We matched names of patients from North Dakota who met DSM criteria for autism, a pervasive developmental disorder, and autisticdisorder with their birth certificates. Five matched controls were selected for each case.

Results: Univariate analysis of the 78 cases and 390 controls identified seven risk factors. Logistic modeling to control for confounding produced a five variable model. The model parameters were χ2 = 36.6 and p <0.001. The five variables in the model were decreased birth weight, low maternal education, later start of prenatal care, and having a previous termination of pregnancy. Increasing father's age was associated with increased risk of autism.

Conclusion: This methodology may provide an inexpensive method for clinics and public health providers to identify risk factors and to identify maternal characteristics of patients with mental illness and developmental disorders.

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Published Online: 2005-06-01
Published in Print: 1999-12-20

Copyright (c)1999 by Walter de Gruyter GmbH & Co. KG

Heruntergeladen am 7.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/JPM.1999.059/html?lang=de
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