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Residential Mobility During Pregnancy: Patterns and Correlates

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Abstract

Information on patterns and correlates of residential mobility can be important in studies of environmental factors and birth outcomes. The objective of this study was to describe residential mobility patterns and possible sociodemographic correlates of residential mobility among pregnant women. We obtained information on 656 mothers of infants with birth defects (cases) and 335 mothers of infants without birth defects (controls) from the geocoded dataset of the Birth Defects Risk Factor Surveillance Study, a case–control study conducted in Atlanta, Georgia, from 1993 through 1997. Using geographic information techniques, we measured distances mothers moved between residential addresses, and evaluated the proportion of moves and movement patterns by trimester. We used multivariate logistic regression to evaluate possible correlates of residential mobility for case and control mothers, including race, age, education, occupation, socioeconomic status, smoking, parity, and pregnancy planning. About 22% of women moved during pregnancy and most of them moved during the second trimester (11.9%), with no variation by case–control status. Among mothers who moved 51% moved within the same county. Pregnant women were more likely to move if they were younger (20–24 years, adjusted odds ratio (aOR) 3.39, 95% confidence interval (CI) 2.12–5.42; ≥30 years: reference), did not plan their pregnancy (aOR 1.66, 95% CI 1.18–2.34), and smoked (aOR 1.46, 95% CI 1.01–2.12). For these associations with mother’s residential mobility, there were no appreciable confounding or effect modification effects by case–control status. In studies of pregnancy outcomes and potential environmental exposures based on residence at the time of delivery, residential mobility during pregnancy may not vary by case–control status, but it still needs to be considered as a possible source of exposure misclassification. Accounting for potential case–control differences in correlates of residential mobility could be useful in minimizing potential non-differential misclassification.

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References

  1. Nethery, E., Brauer, M., & Janssen, P. (2009). Time-activity patterns of pregnant women and changes during the course of pregnancy. Journal of Exposure Science and Environmental Epidemiology, 19(3), 317–324.

    Article  PubMed  Google Scholar 

  2. Silbergeld, E. K., & Patrick, T. E. (2005). Environmental exposures, toxicologic mechanisms, and adverse pregnancy outcomes. American Journal of Obstetrics and Gynecology, 192(5 Suppl), S11–S21.

    Article  PubMed  Google Scholar 

  3. Dolk, H., Vrijheid, M., Armstrong, B., et al. (1998). Risk of congenital anomalies near hazardous-waste landfill sites in Europe: The EUROHAZCON study. The Lancet, 352(9126), 423–427.

    Article  CAS  Google Scholar 

  4. Gilboa, S. M., Mendola, P., Olshan, A. F., et al. (2006). Relation between ambient air quality and selected birth defects, seven county study, Texas, 1997-2000. American Journal of Epidemiology, 162, 238–252.

    Article  Google Scholar 

  5. Orr, M., Bove, F., Kaye, W., et al. (2002). Elevated birth defects in racial or ethnic minority children of women living near hazardous waste sites. International Journal of Hygiene and Environmental Health, 205, 19–27.

    Article  CAS  PubMed  Google Scholar 

  6. Shaw, G. M., Malcoe, L. H., Swan, S. H., et al. (1992). Congenital cardiac anomalies relative to selected maternal exposures and conditions during early pregnancy. European Journal of Epidemiology, 8(5), 757–760.

    Article  CAS  PubMed  Google Scholar 

  7. Ritz, B., Yu, F., Fruin, S., et al. (2002). Ambient air pollution and risk of birth defects in Southern California. American Journal of Epidemiology, 155(1), 17–25.

    Article  PubMed  Google Scholar 

  8. Canfield, M. A., Ramadhani, T. A., Langlois, P. H., et al. (2006). Residential mobility patterns and exposure misclassification in epidemiologic studies of birth defects. Journal of Exposure Science and Environmental Epidemiology, 6, 538–543.

    Article  Google Scholar 

  9. Khoury, M. J., Stewart, W., Weinstein, A., et al. (1988). Residential mobility during pregnancy: Implications for environmental teratogenesis. Journal of Clinical Epidemiology, 41(1), 15–20.

    Article  CAS  PubMed  Google Scholar 

  10. Shaw, G. M., & Malcoe, L. H. (1992). Residential mobility during pregnancy for mothers of infants with or without congenital cardiac anomalies: A reprint. Archives of Environmental Health, 47(3), 236–238.

    CAS  PubMed  Google Scholar 

  11. Fell, D. B., Dodds, L., & King, W. D. (2004). Residential mobility during pregnancy. Paediatric and Perinatal Epidemiology, 18(6), 408–414.

    Article  PubMed  Google Scholar 

  12. Polissar, L. (1980). The effect of migration on comparison of disease rates in geographic studies in the United States. American Journal of Epidemiology, 111(2), 175–182.

    CAS  PubMed  Google Scholar 

  13. Croen, L. A., Shaw, G. M., Sanbonmatsu, L., et al. (1997). Maternal residential proximity to hazardous waste sites and risk for selected congenital malformations. Epidemiology, 8(4), 347–354.

    Article  CAS  PubMed  Google Scholar 

  14. Lynberg, M. C., & Khoury, M. J. (1993). Interaction between epidemiology and laboratory sciences in the study of birth defects: Design of birth defects risk factor surveillance in metropolitan Atlanta. Journal of Toxicology and Environmental Health, 40(2–3), 435–444.

    CAS  PubMed  Google Scholar 

  15. Correa, A., Cragan, J. D., Kucik, J. E., et al. (2007). Reporting birth defects surveillance data 1968-2003. Birth Defects Research Part A: Clinical and Molecular Teratology, 79(2), 65–186.

    CAS  Google Scholar 

  16. Rasmussen, S. A., Olney, R. S., Holmes, L. B., et al. (2003). Guidelines for case classification for the National Birth Defects Prevention Study. Birth Defects Research Part A: Clinical and Molecular Teratology, 67(3), 193–201.

    Article  CAS  Google Scholar 

  17. Siffel, C., Strickland, M., Gardner, B. R., et al. (2006). Role of geographic information systems in birth defects surveillance and research. Birth Defects Research Part A: Clinical and Molecular Teratology, 76, 825–833.

    Article  CAS  Google Scholar 

  18. Wolf, D. A., & Longino, C. F., Jr. (2005). Our “increasingly mobile society”? The curious persistence of a false belief. Gerontologist, 45(1), 5–11.

    PubMed  Google Scholar 

  19. Strickland, M. J., Siffel, C., Gardner, B. R., et al. (2007). Quantifying geocode location error using GIS methods. Environmental Health, 6(4), 10.

    Article  PubMed  Google Scholar 

  20. U.S. Bureau of Labor Statistics. (1990). Census industrial and occupational classification codes. Accessed December 27, 2007, from http://ww.bls.gov/nls/quex/r1/y97r1cbka1.pdf

  21. U.S. Census Bureau. (2001). Census 2000 summary file 2—technical documentation, prepared by the U.S. Census Bureau. Washington, DC: Department of Commerce.

  22. Krieger, N., Chen, J. T., Waterman, P. D., et al. (2003). Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US). Journal of Epidemiology and Community Health, 57, 186–199.

    Article  CAS  PubMed  Google Scholar 

  23. SAS Institute Inc. (2002). Cary, NC, USA.

  24. United States Census Bureau. (2008). Geographical mobility/migration: Census 2000 migration data and reports. Accessed August 1, 2008, from http://www.census.gov/population/www/socdemo/migrate.html

  25. Phares, T. M., Morrow, B., Lansky, A., Barfield, W. D., Prince, C. B., Marchi, K. S., et al. (2004). Surveillance for disparities in maternal health-related behaviors—selected states, Pregnancy Risk Assessment Monitoring System (PRAMS), 2000-2001. Morbidity and Mortality Weekly Report. CDC surveillance summaries, 53(4), 1–13.

    Google Scholar 

  26. Carmichael, S. L., Ma, C., Rasmussen, S. A., Honein, M. A., Lammer, E. J., & Shaw, G. M. (2008). Craniosynostosis and maternal smoking. Birth Defects Research Part A: Clinical and Molecular Teratology, 82(2), 78–85.

    Article  CAS  Google Scholar 

  27. Malik, S., Cleves, M. A., Honein, M. A., Romitti, P. A., Botto, L. D., Yang, S., et al. (2008). Maternal smoking and congenital heart defects. Pediatrics, 121(4), e810–e816.

    Article  PubMed  Google Scholar 

  28. Than, L. C., Honein, M. A., Watkins, M. L., et al. (2005). Intent to become pregnant as a predictor of exposures during pregnancy: Is there a relation? The Journal of Reproductive Medicine, 50, 389–396.

    PubMed  Google Scholar 

  29. Lix, L. M., Hinds, A., DeVerteuil, G., et al. (2006). Residential mobility and severe mental illness: A population-based analysis. Administration and Policy in Mental Health and Mental Health Services Research, 33(2), 160–171.

    Article  PubMed  Google Scholar 

  30. Flegal, K. M., Brownie, C., & Haas, J. D. (1986). The effects of exposure misclassification on estimates of relative risk. American Journal of Epidemiology, 123(4), 736–751.

    CAS  PubMed  Google Scholar 

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Acknowledgments

We thank the Metropolitan Atlanta Congenital Defects Program abstractors for their conscientious and skilled data collection efforts, and Bennett R. Gardner, C.J. Alverson, and Sheree Boulet for their assistance with manuscript preparation.

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Authors and Affiliations

  1. Division of Birth Defects and Developmental Disabilities, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Mailstop E-86, 1600 Clifton Road, Atlanta, GA, 30329, USA

    Assia Miller, Csaba Siffel & Adolfo Correa

  2. Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA

    Assia Miller

  3. Computer Sciences Corporation, Atlanta, GA, USA

    Csaba Siffel

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  1. Assia Miller
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  2. Csaba Siffel
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Correspondence to Assia Miller.

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Disclaimer: The findings and conclusions in this manuscript are those of the authors and do not necessarily represent the views of the Centers for Disease Control and Prevention.

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Miller, A., Siffel, C. & Correa, A. Residential Mobility During Pregnancy: Patterns and Correlates. Matern Child Health J 14, 625–634 (2010). https://doi.org/10.1007/s10995-009-0492-z

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  • DOI: https://doi.org/10.1007/s10995-009-0492-z

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