Feasibility of Linking Long-Term Cardiovascular Cohort Data to Offspring Birth Records: The Bogalusa Heart Study
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Introduction Researchers in perinatal health, as well as other areas, may be interested in linking existing datasets to vital records data when the existence or timing of births is unknown. Methods 5914 women who participated in the Bogalusa Heart Study (1973–2009), a long-running study of cardiovascular health in childhood, adolescence, and adulthood, were linked to vital statistics birth data from Louisiana, Mississippi, and Texas (1982–2010). Deterministic and probabilistic linkages based on social security number, race, maternal date of birth, first name, last name, and Soundex codes for name were conducted. Characteristics of the linked and unlinked women were compared using t-tests, Chi square tests, and multiple regression with adjustment for age and year of examinations. Results The Louisiana linkage linked 4876 births for 2770 women; Mississippi linked 791 births to 487 women; Texas linked 223 births to 153 women; After removal of duplicates and implausible dates, this left a total of 5922 births to 3260 women. This represents a successful linkage of 55% of all women ever seen in the larger study, and an estimated 65% of all women expected to have given birth. Those linked had more study visits, were more likely to be black, and had statistically lower BMIs than unlinked participants. Discussion Linking unrelated study data to vital records data was feasible to a degree. The linked group had a somewhat more favorable health profile and was less mobile than the overall study population.
KeywordsData collection Vital statistics Birth certificates
Body mass index
Social security number
Richard Johnson and Judy Moulder at the Mississippi State Department of Health. Chris Simmons and Jamie Huang at the Texas Department of State Health Services. The Bogalusa Heart Study is supported by NIH Grants R01HL02942, HL15103, HD32194, and AG16592.
EH, conceived the manuscript and the study and analyzed the data. MJ, conducted quality control of the linked data and the later Louisiana linkage. TS, created and merged databases from BHS and studies. DB, coordinated linkages across the three states. MW, performed initial Louisiana linkage. All authors contributed to the writing and read and approved the final manuscript.
Compliance with Ethical Standards
Conflict of interest
The authors declare that they have no competing interests.
- Adams, M. M., Berg, C. J., McDermott, J. M., Gaudino, J. A., Casto, D. L., Wilson, H. G., & McCarthy, B. J. (1997a). Evaluation of reproductive histories constructed by linking vital records. Paediatric and Perinatal Epidemiology, 11(1), 78–92. Retrieved from http://onlinelibrary.wiley.com/store/10.1111/j.1365-3016.1997.tb00799.x/asset/j.1365-3016.1997.tb00799.x.pdf?v=1&t=ipfnemup&s=79cb7876d4b7935ef8c89078af98cbea01d70621.
- Adams, M. M., Wilson, H. G., Casto, D. L., Berg, C. J., McDermott, J. M., Gaudino, J. A., & McCarthy, B. J. (1997b). Constructing reproductive histories by linking vital records. American Journal of Epidemiology, 145(4), 339–348. Retrieved from http://aje.oxfordjournals.org/content/145/4/339.full.pdf.
- Berenson, G. S. (2001). Bogalusa Heart Study: A long-term community study of a rural biracial (Black/White) population. American Journal of Medical Sciences, 322(5), 293–300. Retrieved from http://graphics.tx.ovid.com/ovftpdfs/FPDDNCMCGGMHDG00/fs033/ovft/live/gv017/00000441/00000441-200111000-00007.pdf.
- Bonamy, A. K., Parikh, N. I., Cnattingius, S., Ludvigsson, J. F., & Ingelsson, E. (2011). Birth characteristics and subsequent risks of maternal cardiovascular disease: Effects of gestational age and fetal growth. Circulation, 124(25), 2839–2846. https://doi.org/10.1161/circulationaha.111.034884.CrossRefPubMedGoogle Scholar
- Catov, J. M., Dodge, R., Yamal, J. M., Roberts, J. M., Piller, L. B., & Ness, R. B. (2011). Prior preterm or small-for-gestational-age birth related to maternal metabolic syndrome. Obstetrics and Gynecology, 117(2 Pt 1), 225–232. https://doi.org/10.1097/AOG.0b013e3182075626.CrossRefPubMedPubMedCentralGoogle Scholar
- Division of Cancer Prevention and Control. (2015). Registry Plus Link Plus. Retrieved from http://www.cdc.gov/cancer/npcr/tools/registryplus/lp.htm.
- Freedman, M. A., Gay, G. A., Brockert, J. E., Potrzebowski, P. W., & Rothwell, C. J. (1988). The 1989 revisions of the US Standard Certificates of Live Birth and Death and the US Standard Report of Fetal Death. American Journal of Public Health, 78(2), 168–172. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1349110/pdf/amjph00241-0058.pdf.
- Nitsch, D., Morton, S., DeStavola, B. L., Clark, H., & Leon, D. A. (2006). How good is probabilistic record linkage to reconstruct reproductive histories? Results from the Aberdeen Children of the 1950s study. BMC Medical Research Methodology, 6, 15. https://doi.org/10.1186/1471-2288-6-15.CrossRefPubMedPubMedCentralGoogle Scholar
- Romitti, P. A., Watanabe-Galloway, S., Budelier, W. T., Lynch, C. F., Puzhankara, S., Wong-Gibbons, D.,.. . Alavanja, M. C. (2010). Identification of Iowa live births in the Agricultural Health Study. Archives of Environmental and Occupational Health, 65(3), 154–162. https://doi.org/10.1080/19338241003730903.CrossRefPubMedPubMedCentralGoogle Scholar
- Social Security Administration. Social security number allocations. Retrieved from https://www.ssa.gov/employer/stateweb.htm.
- Tromp, M., Ravelli, A. C., Bonsel, G. J., Hasman, A., & Reitsma, J. B. (2011). Results from simulated data sets: Probabilistic record linkage outperforms deterministic record linkage. Journal of Clinical Epidemiology, 64(5), 565–572. https://doi.org/10.1016/j.jclinepi.2010.05.008.CrossRefPubMedGoogle Scholar
- Vinikoor, L. C., Messer, L. C., Laraia, B. A., & Kaufman, J. S. (2010a). Reliability of variables on the North Carolina birth certificate: A comparison with directly queried values from a cohort study. Paediatric and Perinatal Epidemiology, 24(1), 102–112. https://doi.org/10.1111/j.1365-3016.2009.01087.x.CrossRefPubMedPubMedCentralGoogle Scholar