Early diagnoses of autism spectrum disorders in Massachusetts birth cohorts, 2001-2005
Susan E Manning1, Carol A Davin, Wanda D Barfield
1Department of Public Health, Bureau of Family Health and Nutrition, Massachusetts Boston, Massachusetts, USA. aci6@cdc.gov
Insights
Early autism spectrum disorder (ASD) diagnoses are rising in Massachusetts. Factors like maternal age and language impact early ASD diagnosis rates, with boys diagnosed more often than girls.
Area of Science:
- Pediatric Health
- Developmental Pediatrics
- Public Health Surveillance
Background:
- Autism spectrum disorder (ASD) is a complex developmental condition.
- Early diagnosis and intervention are critical for improving outcomes in children with ASD.
- Understanding trends and predictors of early ASD diagnoses is essential for public health planning.
Purpose of the Study:
- To examine trends in autism spectrum disorder (ASD) diagnoses by 36 months of age in Massachusetts.
- To identify characteristics associated with early ASD diagnoses in infants.
Main Methods:
- Linked Massachusetts birth certificate and early intervention program data for infants born 2001-2005.
- Analyzed trends using Cochran-Armitage tests and compared characteristics using chi-squared statistics.
- Employed multivariate logistic regression to identify predictors of early ASD diagnoses.
Main Results:
- ASD incidence increased from 56 to 93 per 10,000 infants between 2001 and 2005.
- Younger maternal age, non-English primary language, and foreign-born status were associated with lower odds of early ASD diagnosis.
- Maternal age over 30 and male sex were associated with increased odds of early ASD diagnosis (boys 4.5 times higher odds).
Conclusions:
- Early ASD diagnoses are increasing in Massachusetts, aligning with national trends.
- Linking early intervention data with vital statistics aids in monitoring ASD trends.
- This approach is valuable for planning developmental and educational services for children with ASD.
Objective:
We examined trends in autism spectrum disorder diagnoses by age 36 months (early diagnoses) and identified characteristics associated with early diagnoses.
Methods:
Massachusetts birth certificate and early-intervention program data were linked to identify infants born between 2001 and 2005 who were enrolled in early intervention and receiving autism-related services before age 36 months (through December 31, 2008). Trends in early autism spectrum disorders were examined using Cochran-Armitage trend tests. χ² Statistics were used to compare distributions of selected characteristics for children with and without autism spectrum disorders. Multivariate logistic regression analyses were conducted to identify independent predictors of early diagnoses.
Results:
A total of 3013 children (77.5 per 10,000 study population births) were enrolled in early intervention for autism spectrum disorder by age 36 months. Autism spectrum disorder incidence increased from 56 per 10,000 infants among the 2001 birth cohort to 93 per 10,000 infants in 2005. Infants of mothers younger than 24 years of age, whose primary language was not English or who were foreign-born had lower odds of an early autism spectrum disorder diagnosis. Maternal age older than 30 years was associated with increased odds of an early autism spectrum disorder diagnosis. Odds of early autism spectrum disorders were 4.5 (95% confidence interval: 4.1-5.0) times higher for boys than girls.
Conclusions:
Early autism spectrum disorder diagnoses are increasing in Massachusetts, reflecting the national trend observed among older children. Linkage of early-intervention program data with population-based vital statistics is valuable for monitoring autism spectrum disorder trends and planning developmental and educational service needs.
More Related Videos
Related Concept Videos
Autism Spectrum Disorder
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
Diagnostic and Statistical Manual of Mental Disorders (DSM)

