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An analysis of the accuracy of retrospective birth location recall using sibling data.

Stephanie von HinkeNicolai Vitt
Published in: Nature communications (2024)
Many surveys ask participants to retrospectively record their location of birth. This paper examines the accuracy of such data in the UK Biobank using a sample of full siblings. Comparison of reported birth locations for siblings with different age gaps allows us to estimate the probabilities of household moves and of misreported birth locations. Our first contribution is to show that there are inaccuracies in retrospective birth location data, showing a sizeable probability of misreporting, with 28% of birth coordinates, 16% of local districts and 6% of counties of birth being incorrectly reported. Our second contribution is to show that such error can lead to substantial attenuation bias when investigating the impacts of location-based exposures, especially when there is little spatial correlation and limited time variation in the exposure variable. Sibling fixed effect models are shown to be particularly vulnerable to the attenuation bias. Our third contribution is to highlight possible solutions to the attenuation bias and sensitivity analyses to the reporting error.
Keyphrases
  • gestational age
  • cross sectional
  • electronic health record
  • big data
  • pregnancy outcomes
  • preterm birth
  • intellectual disability
  • pregnant women
  • autism spectrum disorder
  • deep learning
  • adverse drug