Epilepsy is a chronic disease experienced by millions and a cause of substantial morbidity and mortality. This review summarizes prevalence and incidence studies of epilepsy that provided a clear definition of epilepsy and could be age-adjusted: requirements if comparisons across studies are to be made. Although few exceptions, age-adjusted prevalence estimates from record-based studies (2.7 to 17.6 per 1000), are lower than those from door-to-door surveys (2.2 to 41.0 per 1000). Age-adjusted incidence ranged from 16 to 51 per 100,000, with one exception in Chile, where incidence was 111 per 100,000. Variation in reported prevalence and incidence may be related to factors such as access to health care, regional environmental exposures, or socioeconomic status. A higher proportion of epilepsy characterized by generalized seizures was reported in most prevalence studies. Epilepsy characterized by partial seizures accounted for 20% to 66% of incident epilepsies. Virtually all prevalence and incidence studies report a preponderance of seizures of unknown cause. Additional prevalence studies are needed in regions where data does not exist, and additional incidence studies in all regions. Interpretation of differences in prevalence and incidence will require understanding of the role of cultural, social and economic factors influencing epilepsy and its care.

Objective To examine the relationship between birth weight, gestational age, small for gestational age (SGA), and three most common autism spectrum disorder (ASD) subtypes. Study design In this population-based case-control study conducted in Finland, 4713 cases born between 1987 and 2005 with ICD-diagnoses of childhood autism, Asperger syndrome or PDD, were ascertained from the Finnish Hospital Discharge Register. Four controls, individually matched on sex, date of birth, and place of birth, were selected from the Finnish Medical Birth Register for each case. Conditional logistic regression models were used to assess whether birth weight and gestational age information predicted ASD after controlling for maternal age, parity, smoking during pregnancy and psychiatric history, as well as for infant’s major congenital anomalies. Results Very low (<1500g) and moderately low (<2500g) birth weight, very low gestational age (less than 32 weeks), and SGA increased risk of childhood autism (adjusted OR 3.05, 95% CI 1.4–6.5; 1.57, 1.1–2.3; 2.51, 1.3–5.0 and 1.72, 1.1–2.6, respectively). Very low and moderately low birth weight, very low gestational age, and SGA were also associated with increase in PDD risk (OR 3.44, 95% CI 1.9–6.3; 1.81, 1.4–2.4; 2.46, 1.4–2.3 and 2.24, 1.7–3.0, respectively). No associations were found between the perinatal characteristics and Asperger syndrome. The increased risks persisted after controlling for selected potential confounders. Conclusions The finding that low birth weight, prematurity and SGA were related to childhood autism and PDD but not to Asperger syndrome suggests that prenatal factors related to these exposures may differ for these ASD subtypes, which may have preventive implications.

No abstract

This article presents an overview of the Finnish Prenatal Study of Autism and Autism Spectrum Disorders (FIPS-A), a new study designed to examine the relationship between prenatal serologic factors, mediating and moderating developmental antecedents, and risk of autism spectrum disorders (ASD). The FIPS-A is based on register linkages between births from 1987 to 2005 ascertained from the Finnish Medical Birth Register (FMBR) and other national registers on treatment for this group of disorders. All subjects were members of the Finnish Maternity Cohort (FMC), which consists of virtually all births in Finland from 1983 to the present, and which includes archived maternal serum samples. This study also capitalizes on other registry information, such as systematically collected data on pregnancy, prenatal and neonatal complications and manual data collection from well-child clinics providing developmental data from birth to the age of 7 years. In this paper, we describe the methods used in the FIPS-A study, including a description of the national registers, available data and case ascertainment procedures. Finally, we discuss implications of the data for future work on uncovering putative aetiologies of ASD and key strengths and limitations of the design.

Increased awareness of ASD, more precise diagnostic criteria and changes in practice for diagnosing autism may have had a substantial effect on the increased incidence of inpatient treated ASD cases from 1987 to 1992. Between 1992 and 1998, the incidence rate based on inpatient and outpatient service use remained rather stable.