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What can large population-based birth cohort study ask about past, present and future of children with disorders of development, learning and behaviour?

Katusic, Slavica K, Colligan, Robert C, Myers, Scott M, Voigt, Robert G, Yoshimasu, Kouichi, Stoeckel, Ruth E, Weaver, Amy L·2017·Journal of Epidemiology and Community Health
DOI 10.1136/jech-2016-208482
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Abstract

A large cohort consisting of all children born to mothers from community provides ‘natural’ selection into different exposures and is a powerful resource for epidemiological research. A large population-based birth cohort with detailed systematic information already recorded, as part of longitudinal medical care, historical and current school data, detailed birth certificate data and all three resources available for every member of the birth cohort, are extremely rare. Our population-based birth cohort consists of all children born between 1976 and 2000 to mothers residing in Olmsted County, Minnesota, at the time of child's birth (N=39 890). In this paper, we provide a comprehensive report of the method describing the identification, the characteristics and longitudinal follow-up of each child (and family members) from the birth cohort, wealth of complementary resources of data and study measures and designs (retrospective, combined retrospective/prospective). In the last decade or so, we obtained scientific and clinically needed answers for incidence rates, potential risk/protective factors, treatment, comorbidities, outcomes, cost/usage and potential biases (that are always assessed and clinically interpreted) of many developmental learning and behavioural disorders (DLBDs) including learning and attention-deficit/hyperactivity disorders, intellectual disability, speech-language impairment and autism spectrum disorder. Many current and future questions related to DLBDs are remaining to be answered. The Olmsted County Birth Cohort (OCBC) is an example of a comprehensive, contemporary epidemiological research model for the development of similar research infrastructures, and its current and future results are important for replication and comparison with other population-based retrospective and prospective birth cohort studies.

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Metadata

Authors
Katusic, S. K., Colligan, R. C., Myers, S. M., Voigt, R. G., Yoshimasu, K., Stoeckel, R. E., & Weaver, A. L.
Affiliations
  • Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
  • Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
  • Geisinger-Bucknell Autism and Developmental Medicine Center, Lewisburg, Pennsylvania, USA
  • Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
  • Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
  • Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
Venue
Journal of Epidemiology and Community Health
Publisher
BMJ
Published
2017-02-06
Volume
71
Issue
4
Pages
410-416
ISSN
  • 0143-005X
  • 1470-2738
DOI
10.1136/jech-2016-208482
Cited by
25
References
4
Language
en
Funders
National Institutes of Health (Public Health Service research grants: HD29745, M)

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CoChat. (2026). Citation check: What can large population-based birth cohort study ask about past, present and future of children with disorders of development, learning and behaviour? https://app.cochat.ai/papers/10.1136/jech-2016-208482
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Katusic, S. K., Colligan, R. C., Myers, S. M., Voigt, R. G., Yoshimasu, K., Stoeckel, R. E., & Weaver, A. L. (2017). What can large population-based birth cohort study ask about past, present and future of children with disorders of development, learning and behaviour? Journal of Epidemiology and Community Health. https://doi.org/10.1136/jech-2016-208482

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