Analysis of Self-selection Bias in a Population-based Cohort Study of Autism Spectrum Disorders

Roy M. Nilsen*, Pal Suren, Nina Gunnes, Elin R. Alsaker, Michaeline Bresnahan, Deborah Hirtz, Mady Hornig, Kari Kveim Lie, W. Ian Lipkin, Ted Reichborn-Kjennerud, Christine Roth, Synnve Schjolberg, George Davey Smith, Ezra Susser, Stein Emil Vollset, Anne-Siri Oyen, Per Magnus, Camilla Stoltenberg

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

81 Citations (Scopus)

Abstract

BackgroundThis study examined potential self-selection bias in a large pregnancy cohort by comparing exposure-outcome associations from the cohort to similar associations obtained from nationwide registry data. The outcome under study was specialist-confirmed diagnosis of autism spectrum disorders (ASDs).

MethodsThe cohort sample (n=89836) was derived from the population-based prospective Norwegian Mother and Child Cohort Study and its substudy of ASDs, the Autism Birth Cohort (ABC) study. The nationwide registry data were derived from the Medical Birth Registry of Norway (n=507856). The children were born in 1999-2007, and seven prenatal and perinatal exposures were selected for analyses.

ResultsASDs were reported for 234 (0.26%) children in the cohort and 2072 (0.41%) in the nationwide population. Compared with the nationwide population, the cohort had an under-representation of the youngest women (

ConclusionsAssociations estimated between ASDs and perinatal and prenatal exposures in the cohort are close to those estimated in the nationwide population. Self-selection does not appear to compromise validity of exposure-outcome associations in the ABC study.

Original languageEnglish
Pages (from-to)553-563
Number of pages11
JournalPaediatric and Perinatal Epidemiology
Volume27
Issue number6
DOIs
Publication statusPublished - Nov 2013

Keywords

  • Autism
  • cohort
  • Norway
  • pregnancy
  • selection bias
  • FOLIC-ACID SUPPLEMENTS
  • PERINATAL RISK-FACTORS
  • INFANTILE-AUTISM
  • CHILDREN
  • PARTICIPATION
  • ASSOCIATION
  • PREVALENCE
  • REGISTRY
  • CHARGE
  • DELAY

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