Geographic Variation and Clustering of Congenital Anomalies in Great Britain
Author Information
Author(s): Ben G Armstrong, Helen Dolk, Sam Pattenden, Martine Vrijheid, Maria Loane, Judith Rankin, Chris E Dunn, Chris Grundy, Lenore Abramsky, Patricia A Boyd, David Stone, Diana Wellesley
Primary Institution: London School of Hygiene and Tropical Medicine
Hypothesis
What is the extent of spatial heterogeneity in congenital anomaly rates in the United Kingdom?
Conclusion
Congenital anomaly rates vary significantly across register areas and hospital catchments, but localized clusters are uncommon.
Supporting Evidence
- Congenital anomaly rates varied significantly across register areas and hospital catchments.
- Adjustment for socioeconomic deprivation and maternal age had little effect on geographical variation.
- Localized clusters of congenital anomalies were found to be uncommon.
- Negative binomial models provided a robust method for analyzing geographical heterogeneity.
Takeaway
This study looked at how often birth defects happen in different areas of Great Britain and found that while some areas have more cases, most clusters of defects are not common.
Methodology
The study analyzed data from about one million births using negative binomial regression models to estimate geographical variation in congenital anomalies.
Potential Biases
Differences in case ascertainment may have influenced the observed geographical variation.
Limitations
The study's power to detect clusters of rarer congenital anomalies was limited.
Participant Demographics
The study included births from five registers in Britain from 1991 to 1999.
Statistical Information
P-Value
p<0.001
Confidence Interval
90% RR range 0.68–1.38
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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