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Maternal and Child Health Journal

, Volume 22, Issue 10, pp 1484–1491 | Cite as

Affluent-Born White Mother’s Descending Neighborhood Income and Infant Mortality: A Population-Based Study

  • James W. CollinsJr.
  • Jennifer Colgan
  • Kristin M. Rankin
  • Carla Desisto
Article

Abstract

Objectives To determine whether affluent-born White mother’s descending neighborhood income is associated with infant mortality rates (< 365 day, IMR). Methods Stratified and multilevel logistic regression analyses were completed on the Illinois transgenerational dataset of singleton births (1989–1991) to non-Latina White mothers (1956–1976) with an early-life residence in affluent neighborhoods (defined as the fourth quartile of income distribution). The breadth of descending neighborhood income was defined by mother’s neighborhood income at the time of delivery. Results Infants of White mothers (n = 4890) who did not suffer descending neighborhood income by the time of delivery had a first-year mortality rate of 5.1/1,000. Infants of White mothers who experienced minor (n = 5112), modest (n = 2158), or extreme (n = 339) descending neighborhood income had IMR of 6.5/1,000, 14.4/1,000, and 11.8/1,000, respectively; RR [95% CI] = 1.3 [0.8, 2.1], 2.8 [1.7, 4.8], and 2.3 [0.8, 6.6], respectively. The incidence of young maternal age, inadequate prenatal care utilization, and cigarette smoking rose as descending neighborhood income increased, p < 0.01. In multilevel logistic regression models, the adjusted (controlling for selected individual-level co-variates) OR [95% CI] of infant mortality for White women with an early-life residence in affluent neighborhoods who subsequently experienced minor or modest to extreme (versus absent) descending neighborhood income equaled 1.0 [0.6, 1.8] and 2.1 [1.1, 3.8] respectively. Conclusions White mother’s modest to extreme descending neighborhood income from early-life residence in affluent neighborhoods is associated with a twofold greater risk of infant mortality independent of selected biologic, medical, and behavioral characteristics.

Keywords

Infant mortality Class Descending neighborhood income Descending social mobility 

Notes

Acknowledgements

Funding was provided by March of Dimes Foundation (Grant Nos. 12-FY09-159 and 21-FY16-111).

References

  1. Braveman, P. A., Cubbin, C., Egerter, S., Williams, D. R., & Pamuk, E. (2010). Socioeconomic disparities in health in the United States: What the patterns tell us. American Journal of Public Health, 100, S186–S196.CrossRefPubMedPubMedCentralGoogle Scholar
  2. Collins, J., Rankin, K., & David, R. (2015). Downward economic mobility and preterm birth: An exploratory study of Chicago-born upper class white mothers. Maternal and Child Health Journal, 19, 1601–1607.CrossRefPubMedGoogle Scholar
  3. Collins, J. W., Soskolne, G., Bennett, A., & Rankin, K. (2013). Differing mortality rates among term infants of US-born and foreign-born White, African-American, and Mexican-American mothers. Maternal and Child Health Journal, 17, 1776–1783.CrossRefGoogle Scholar
  4. Croteau, A., & Marcoux, S., Brisson, C. (2007). Work activity, preventive measured, and the risk of preterm delivery. American Journal of Epidemiology, 166, 951–965.CrossRefGoogle Scholar
  5. David, R., & Messer, L. (2011). Reducing disparities: race, class, and the social determinants of health. Maternal and Child Health Journal, 15, S1–S3.CrossRefGoogle Scholar
  6. David, R. J., & Collins, J. W. (2014). Layers of inequality: power, policy, and health. American Journal of Public Health, 104, S8-S10.CrossRefPubMedPubMedCentralGoogle Scholar
  7. David, R. J., Rankin, K. M., Lee, K., Prachand, N. G., Love, C., & Collins, J. W. (2010). The Illinois transgenerational birth file: life course analysis of birth outcomes using vital records and census data over decades. Maternal and Child Health Journal, 14, 121–132.CrossRefGoogle Scholar
  8. Geronimus, A. T. (2013). Deep integration: Letting the epigenome out of the bottle without losing sight of the structural origins of population health. American Journal of Public Health, 103(S1), S56–S63.CrossRefPubMedPubMedCentralGoogle Scholar
  9. Gluckman, P. D., Hanson, M. A., Cooper, C., & Thornburg, K. L. (2008). Effect of in utero and early-life conditions on adult health and disease. NEJM, 359, 61–73.CrossRefPubMedGoogle Scholar
  10. Hamilton, B. E., Hoyert, D. L., Martin, J. A., Strobino, D. M., & Guyer, B. (2013). Annual review of vital statistics: 2010–2011. Pediatrics., 131, 548–558.CrossRefPubMedPubMedCentralGoogle Scholar
  11. Isaacs, S. L., & Schroeder, S. A. (2004). Class-the ignored determinant of the nation’s health. The New England Journal of Medicine, 35, 1137–1142.CrossRefGoogle Scholar
  12. Kawachi, I., Daniels, N., & Robinson, D. (2005). Health disparities by race and class: Why both matter. Health Affairs (Millwood), 24, 343–352.CrossRefGoogle Scholar
  13. Kotelchuk, M. (1994). The adequacy of prenatal care utilization index: Its US distribution and association with low birth weight. American Journal of Public Health, 84, 1486–1489.CrossRefGoogle Scholar
  14. Lu, M., & Halfon, N. (2003). Racial and ethnic disparities in birth outcomes: a life-course perspective. Maternal and Child Health Journal, 7, 13–30.CrossRefPubMedGoogle Scholar
  15. Malloy, M., & Eschbach, K. (2007). Association of poverty with sudden infant death syndrome in metropolitan counties of the United States in the years 1990 and 2000. Southern Medical Journal, 100, 1107–1113.CrossRefPubMedGoogle Scholar
  16. Misra, D., Guyer, B., & Aliston, A. (2003). Integrated perinatal health framework: A multiple determinants model with a life span approach. American Journal of Preventive Medicine, 25, 65–75.CrossRefPubMedGoogle Scholar
  17. Morbidity and Mortality Weekly Report. (2002). Quick Stats: Leading Causes of Neonatal and Postneonatal Deaths—United States. Retrieved May 19, 2018 from https://www.cdc.gov/mmwr/preview/mmwrhtml/mm5438a8.htm.
  18. Osterman, M. K., Kochanek, K. D., MacDorman, M. F., Strobino, D. M., & Guyer, B. Annual summary of vital statistics: 2012–2013. Pediatrics. 2015;135, 1115–1125.CrossRefPubMedPubMedCentralGoogle Scholar
  19. Papacek, E. M., Collins, J. W., Schulte, W. F., Goergun, C., & Drolet, A. (2002). Differing postneonatal mortality rates of African-American and white infants in Chicago: An ecologic study. Maternal and Child Health Journal, 6, 99–115.CrossRefPubMedGoogle Scholar
  20. Rodwin, V. G., & Neuburg, L. G. Infant mortality in four world cities: New York, London, and Toyko. American Journal of Public Health, 2005;95:86–90.CrossRefPubMedPubMedCentralGoogle Scholar
  21. SAS Institute Inc., SAS 9.1.3 SAS/STAT. Cary, NC: SAS Institute Inc., 2000–2004.2.Google Scholar
  22. Schroeder, S. A. (2007). We can do better improving the health of the American people. The New England Journal of Medicine, 357, 171–179.CrossRefGoogle Scholar
  23. Snijders, T. A. B., & Bosker, R. J. (1999). Multilevel analysis: An introduction to basic and advanced multilevel modeling. Thousand Oaks, CA: Sage Publications.Google Scholar
  24. University of Michigan National Poverty Center. Poverty in the United States. Retrieved May 18, 2018 from http://www.npc.umich.edu/poverty/#2.

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • James W. CollinsJr.
    • 1
    • 3
  • Jennifer Colgan
    • 1
  • Kristin M. Rankin
    • 2
  • Carla Desisto
    • 2
  1. 1.Department of PediatricsAnn & Robert H. Lurie Children’s Hospital of ChicagoChicagoUSA
  2. 2.Department of EpidemiologyUniversity of Illinois School of Public HealthChicagoUSA
  3. 3.Division of NeonatologyChicagoUSA

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