This study examined the hypotheses that (1) sociodemographic risk factors in young children with autism spectrum disorders (ASD) and/or intellectual disability (ID) significantly vary by disability type, and (2) measures of income (mean adjusted gross income, mean federal taxes paid, and mean tax exemptions) significantly increase between 1994 and 2002, and are lower in families with a child with ASD and/or ID compared with the general population. A multiple source surveillance system utilizing a retrospective record review was used to identify ASD and ID cases from a population of 26,108 eight-year-old children born in 1994 and living in Utah in 2002. ASD without ID (ASD-only, n = 99) cases were significantly more likely to be male (P<0.01) and have mothers of White non-Hispanic ethnicity (P = 0.02). ASD with ID (ASD/ID, n = 33) cases were significantly more likely to be male (P<0.01) and have mothers older than 34 years (P = 0.03). ID without ASD (ID-only, n = 113) cases were significantly more likely to have fathers older than 34 years (P<0.01) and were significantly less likely to have mothers with >13 years education (P<0.01). Measures of income for cases at birth and at 8 years of age were not significantly lower than the general population and mean adjusted income of cases significantly increased from birth to 8 years of age. Investigations focused on defining early sociodemographic risk factors by different endophenotypes of ASD may assist in identifying risk factors for this complex group of neurodevelopmental disorders. Aggregate tax information may be a unique resource to utilize for population-based analysis.
Background
Obtaining accurate microcephaly prevalence is important given the recent association between microcephaly and Zika virus. Assessing the quality of data sources can guide surveillance programs as they focus their data collection efforts. The Utah Birth Defect Network (UBDN) has monitored microcephaly by data sources since 2003. The objective of this study was to examine the impact of reporting sources for microcephaly surveillance.
Methods
All reported cases of microcephaly among Utah mothers from 2003 to 2013 were clinically reviewed and confirmed. The UBDN database was linked to state vital records and hospital discharge data for analysis. Reporting sources were analyzed for positive predictive value and sensitivity.
Results
Of the 477 reported cases of microcephaly, 251 (52.6%) were confirmed as true cases. The UBDN identified 94 additional cases that were reported to the surveillance system as another birth defect, but were ultimately determined to be true microcephaly cases. The prevalence for microcephaly based on the UBDN medical record abstraction and clinical review was 8.2 per 10,000 live births. Data sources varied in the number and accuracy of reporting, but a case was more likely to be a true case if identified from multiple sources than from a single source.
Conclusion
While some reporting sources are more likely to identify possible and true microcephaly cases, maintaining a multiple source methodology allows for more complete case ascertainment. Surveillance programs should conduct periodic assessments of data sources to ensure their systems are capturing all possible birth defects cases.
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