Original articleNewborns at risk for special education placement: A population-based study
Introduction
Learning disabilities (LD) form a heterogeneous group of disorders with a varying degree of severity ranging from dyslexia or dyscalculia to severe intellectual disability (ID). During recent years, the recognition of LDs has increased in Finland and thus the prevalence rates of LDs have risen. For instance, in 1995, 2.9% of the pupils 7–16-years old attended full-time and 13.9% part-time special education (SE) groups, whereas in 2001, the corresponding numbers raised to 5.2% and 16%.1 These numbers match the prevalence rates of the LDs in other western countries.2, 3
The reasons for SE placement are diverse, involving both biological and environmental factors. Among these are the associations of increasing maternal and paternal age with the offspring having a lower cognitive capacity.4, 5 In addition, factors such as birth order, family size, a sibling's LD, and especially a family's low social class, may all correlate with LDs.6, 7, 8, 9, 10 Furthermore, earlier studies show that an increasing birth weight (BW) in the normal range correlates positively with favourable cognitive function during childhood and young adult life.11, 12 By contrast, low BW associates with LDs among school-aged children.2, 9, 13, 14, 15 Other potential factors for cognitive impairment are foetal growth restriction and male sex.15, 16, 17, 18
In this clearly defined population-based study, we attempted to establish how these factors at birth associate with the future need for full-time SE (Table 1). Secondly, another objective was to discover whether children with the familial (at least one sibling in SE) and non-familial subtypes of LD displayed differences and if they did, to clarify their distinctive profiles. We chose the levels of full-time SE (Table 1) as the dependent variable since they measure children's abilities globally.
Section snippets
Study scheme and randomisation
This population-based study was conducted in southern Finland, in the former county of Uusimaa during the years 1997–2002. This county includes the capital, Helsinki, and its environs, which had a population of 1.4 million, and had a gross national product per inhabitant that was 143% of the EU-15 mean.1 Uusimaa is also a diverse area of both urban and agricultural communities.
Information was gathered on pupils who were placed in full-time SE groups for neurodevelopmental reasons. In Finland,
Results
Of the children who were in the level 1 SE groups, 56% encountered problems in speech and language development and of those in the level 3 SE groups, 50% had a known aetiology for their ID (n=113 for a known syndrome or chromosomal aberration, n=7 for postnatal infections and tumours, n=7 for foetal alcohol syndrome, n=7 for metabolic or storage disease, n=2 for severe birth complications). Children in the degree 2 SE groups were, on the other hand, a very heterogeneous group with only few of
Discussion
In this population-based cross-sectional study, we evaluated the importance of factors that are present at birth to determine a future need for full-time SE. The SE groups in this study represent a continuum of IQs from specific LDs to severe intellectual disabilities. We consider the strengths of this approach to be a relatively large sample size (900 subjects and 301 controls), a clearly defined and diverse catchment-area, and the study design, which allowed us to personally collect data on
Acknowledgements
The Arvo and Lea Ylppö Foundation, the Rinnekoti Research Foundation, Espoo, and the EVO Fund of the Helsinki Medical Imaging Center, Helsinki University Central Hospital, all in Finland, supported this study.
References (28)
- et al.
Maternal and neonatal risk factors for mental retardation: defining the “at-risk” child
Early Hum Dev
(1998) Clinical disorders of brain plasticity
Brain Dev
(2004)- Central Statistical Office of Finland 2003;...
- et al.
Birth weight and school-age disabilities: a population-based study
Am J Epidemiol
(2001) - et al.
Functional disability and school activity limitations in 41,300 school-age children: relationship to medical impairments
Pediatrics
(2003) Decrease of learning capacity in offspring with increasing paternal age in the rat
Teratology
(1983)- et al.
Paternal age and mental functions of progeny in man
Hum Reprod
(1989) - et al.
The epidemiology of mental retardation of unknown cause
Pediatrics
(2001) - et al.
Which newborns in New York city are at risk for special education placement?
Am J Public Health
(1992) - et al.
Comparison of disadvantaged children with learning disabilities and their successful peer group
Am J Dis Child
(1972)
The recurrence risks for mild idiopathic mental retardation
J Med Genet
Birth weight and cognitive function in the British 1946 birth cohort: longitudinal population-based study
Br Med J
Birth weight, childhood socioeconomic environment, and cognitive development in the 1958 British birth cohort study
Br Med J
Neurobehavioral outcomes of school-age children born extremely low birth weight or very preterm in the 1990s
J Am Med Assoc
Cited by (13)
Differences in maternal and paternal age between Schizophrenia and other psychiatric disorders
2010, Schizophrenia ResearchChildhood growth and development associated with need for full-time special education at school age
2009, European Journal of Paediatric NeurologyCitation Excerpt :To explore possible differences between the familial and non-familial LD subtypes, we performed an analysis comparing children with a sibling in SE to children without such a sibling. This work is part of our larger population-based study described earlier in detail.17 Briefly, the study group collected in random order comprised of 900 school-age children (age-range 7–16 years; mean 12.7) participating in full-time SE groups at three different levels after psychological evaluation.
Republication of “A Propensity Score Matching Analysis of the Effects of Special Education Services”
2017, Journal of Special EducationMaternal hypertensive disorders during pregnancy and mild cognitive limitations in the offspring
2013, Paediatric and Perinatal Epidemiology