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Published in: BMC Medical Research Methodology 1/2019

Open Access 01-12-2019 | Premature Birth | Research article

Comparison of reproductive history gathered by interview and by vital records linkage after 40 years of follow-up: Bogalusa Babies

Authors: Emily W. Harville, Marni Jacobs, Tian Shu, Dorothy Breckner, Maeve Wallace

Published in: BMC Medical Research Methodology | Issue 1/2019

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Abstract

Background

To examine the consistency and likely degree of bias in a study of cardiovascular health, linked with reproductive data over 40 years.

Methods

Linkage of vital statistics data of births to female Bogalusa Heart Study participants was compared to interviewing of female participants. The characteristics of participants, the agreement, and demographic, study-related, and medical predictors of discrepancy were analyzed, using kappa statistics, mean and median differences, and logistic regression.

Results

Overall, 3944 (66.7%) of participants were located by one or both sources. The strongest predictor of either linkage or interview was recent and/or frequent participation in the parent study. Agreement between the two sources was generally good (kappa > 0.9 for birthweight and 0.8 for gestational age). Black race, older age, and time since pregnancy were associated with greater discrepancy in reporting of outcomes, but cardiovascular risk factors generally were not.

Conclusions

Combining information from multiple sources to increase sample size and outcome ascertainment may be valid, which will increase population health sciences’ ability to leverage the many existing, large-scale sources to answer previously unexplored questions, even those that the data were not initially collected to answer.
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Metadata
Title
Comparison of reproductive history gathered by interview and by vital records linkage after 40 years of follow-up: Bogalusa Babies
Authors
Emily W. Harville
Marni Jacobs
Tian Shu
Dorothy Breckner
Maeve Wallace
Publication date
01-12-2019
Publisher
BioMed Central
Keyword
Premature Birth
Published in
BMC Medical Research Methodology / Issue 1/2019
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/s12874-019-0758-0

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