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Cited by 308Reading and Literacy DevelopmentDevelopmental and Educational NeuropsychologyLanguage Development and Disorders

Incidence of Reading Disability in a Population-Based Birth Cohort, 1976–1982, Rochester, Minn

Katusic, Slavica K., Colligan, Robert C., Barbaresi, William J., Schaid, Daniel J., Jacobsen, Steven J.·2001·Mayo Clinic Proceedings
DOI 10.4065/76.11.1081
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Abstract

Objective To report the incidence of reading disability among school-aged children. Subjects and methods In this population-based, retrospective birth cohort study, subjects included all 5718 children born between 1976 and 1982 who remained in Rochester, Minn, after the age of 5 years. Based on records from all public and nonpublic schools, medical facilities, and private tutorial services and on results of all individually administered IQ and achievement tests, extensive medical, educational, and socioeconomic information were abstracted. Reading disability was established with use of research criteria based on 4 formulas (2 regression-based discrepancy, 1 non-regression-based discrepancy, and 1 low achievement). Results Cumulative incidence rates of reading disability varied from 5.3% to 11.8% depending on the formula used. Boys were 2 to 3 times more likely to be affected than girls, regardless of the identification methods applied. Conclusions In this population-based birth cohort, reading disability was common among school-aged children and significantly more frequent among boys than girls, regardless of definition.

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  • The prevalence of dyslexia stabilises at Grade 6 according to Katusic et al. (2001)'s longitudinal follow-up.

    “For the current purpose, we restricted the analysis to Grade 6, a stage at which the prevalence of dyslexia stabilises according to Katusic, Colligan, Barbaresi, Schaid and Jacobsen (2001)'s longitudinal follow-up.”

    From Epidemiology of reading disability: A comparison of DSM-5 and ICD-11 criteria (2022) · cites this paper as Katusic, Colligan, Barbaresi, Schaid and Jacobsen (2001)

  • Katusic et al. (2001) obtained prevalences ranging from 5.3% (with a discrepancy criterion) to 11.8% (with a low-achievement criterion) in a sample of 5,718 children from a birth cohort.

    “Katusic, Colligan, Barbaresi, Schaid and Jacobsen (2001) used four different methods on a sample of 5,718 children from a birth cohort and obtained prevalences ranging from 5.3% (with a discrepancy criterion) to 11.8% (with a low-achievement criterion).”

    From Epidemiology of reading disability: A comparison of DSM-5 and ICD-11 criteria (2022) · cites this paper as Katusic, Colligan, Barbaresi, Schaid and Jacobsen (2001)

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Authors
Katusic, S. K., Colligan, R. C., Barbaresi, W. J., Schaid, D. J., & Jacobsen, S. J.
Affiliations
Mayo Clinic (US)
Corresponding author
Katusic, Slavica K.
ORCID
Venue
Mayo Clinic Proceedings
Publisher
Elsevier BV
Published
2001-11
Volume
76
Issue
11
Pages
1081-1092
ISSN
0025-6196 (ISSN-L)
DOI
10.4065/76.11.1081
OpenAlex
W2012463461
Cited by
308
References
2
Citations by year
2026: 7 · 2025: 13 · 2024: 9 · 2023: 9 · 2022: 11 · 2021: 17 · 2020: 14 · 2019: 15 · 2018: 14 · 2017: 12 · 2016: 14 · 2015: 11 · 2014: 11 · 2013: 18 · 2012: 19
FWCI
18.56
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Mayo Clinic Proceedings (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR030582, AR30582)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD 29745, R01HD029745)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
  • Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
Keywords
reading disorders, dyslexia, incidence, school-aged children, birth cohort, sex differences, IQ-achievement discrepancy, low achievement, reading achievement, Rochester, Minnesota
MeSH terms
Adolescent, Algorithms, Child, Dyslexia, Female, Humans, Male, Minnesota, Population Surveillance, Retrospective Studies, Cohort Studies, Incidence, Age Distribution, Sex Distribution

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