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Geographic Distribution of Healthy Resources and Adverse Pregnancy Outcomes

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Abstract

Objective To determine the risk of gestational diabetes (GDM) and preeclampsia associated with various community resources. Methods An ecological study was performed in Los Angeles and Orange counties in California. Fast food restaurants, supermarkets, grocery stores, gyms, health clubs and green space were identified using Google © Maps Extractor and through the Southern California Association of Government. California Birth Certificate data was used to identify cases of GDM and preeclampsia. Unadjusted and adjusted risk ratios were calculated using negative binomial regression. Results There were 9692 cases of GDM and 6288 cases of preeclampsia corresponding to incidences of 2.5 and 1.4 % respectively. The adjusted risk of GDM was reduced in zip codes with greater concentration of grocery stores [relative risk (RR) 0.95, 95 % confidence interval (CI) 0.92–0.99] and supermarkets (RR 0.94, 95 % CI 0.90–0.98). There were no significant relationships between preeclampsia and the concentration of fast food restaurants, grocery store, supermarkets or the amount of green space. Conclusion The distribution of community resources has a significant association with the risk of developing GDM but not preeclampsia.

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References

  1. Hartling, L., et al. (2012). Screening and diagnosing gestational diabetes mellitus. Evidence Report/Technology Assessment (Full Report), 210, 1–327.

    Google Scholar 

  2. Moyer, V. A., & U.S.P.S.T. Force. (2014). Screening for gestational diabetes mellitus: U.S. Preventive Services Task Force recommendation statement. Annals of Internal Medicine, 160(6), 414–420.

    Article  PubMed  Google Scholar 

  3. Gynecologists A.C.o.O.a. (2013). Practice Bulletin No. 137: Gestational diabetes mellitus. Obstetrics and Gynecology, 122(2 Pt 1), 406–416.

    Google Scholar 

  4. Walker, J. J. (2000). Pre-eclampsia. Lancet, 356(9237), 1260–1265.

    Article  CAS  PubMed  Google Scholar 

  5. Lisonkova, S., & Joseph, K. S. (2013). Incidence of preeclampsia: Risk factors and outcomes associated with early- versus late-onset disease. American Journal of Obstetrics and Gynecology, 209(6), 544e1–544e12.

    Article  Google Scholar 

  6. Ananth, C. V., Keyes, K. M., & Wapner, R. J. (2013). Pre-eclampsia rates in the United States, 1980–2010: Age–period–cohort analysis. BMJ, 347, f6564.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Duckitt, K., & Harrington, D. (2005). Risk factors for pre-eclampsia at antenatal booking: Systematic review of controlled studies. BMJ, 330(7491), 565.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Eiriksdottir, V. H., et al. (2015). Pregnancy-induced hypertensive disorders before and after a national economic collapse: A population based cohort study. PLoS ONE, 10(9), e0138534.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Solomon, C. G., et al. (1997). A prospective study of pregravid determinants of gestational diabetes mellitus. JAMA, 278(13), 1078–1083.

    Article  CAS  PubMed  Google Scholar 

  10. James, P. A., et al. (2014). 2014 evidence-based guideline for the management of high blood pressure in adults: Report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA, 311(5), 507–520.

    Article  CAS  PubMed  Google Scholar 

  11. Janevic, T., et al. (2010). Neighbourhood food environment and gestational diabetes in New York City. Paediatric and Perinatal Epidemiology, 24(3), 249–254.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Vinikoor-Imler, L. C., et al. (2011). Neighborhood conditions are associated with maternal health behaviors and pregnancy outcomes. Social Science and Medicine, 73(9), 1302–1311.

    Article  CAS  PubMed  Google Scholar 

  13. Laurent, O., et al. (2013). Green spaces and pregnancy outcomes in Southern California. Health Place, 24, 190–195.

    Article  PubMed  Google Scholar 

  14. Lhila, A. (2011). Does access to fast food lead to super-sized pregnant women and whopper babies? Economics & Human Biology, 9(4), 364–380.

    Article  Google Scholar 

  15. Fowles, E. R., et al. (2011). Eating at fast-food restaurants and dietary quality in low-income pregnant women. Western Journal of Nursing Research, 33(5), 630–651.

    Article  PubMed  Google Scholar 

  16. Messer, L. C., Vinikoor-Imler, L. C., & Laraia, B. A. (2012). Conceptualizing neighborhood space: Consistency and variation of associations for neighborhood factors and pregnancy health across multiple neighborhood units. Health Place, 18(4), 805–813.

    Article  PubMed  Google Scholar 

  17. Hutchinson, P. L., et al. (2012). Neighbourhood food environments and obesity in southeast Louisiana. Health Place, 18(4), 854–860.

    Article  PubMed  Google Scholar 

  18. Morland, K., Diez Roux, A. V., & Wing, S. (2006). Supermarkets, other food stores, and obesity: The atherosclerosis risk in communities study. American Journal of Preventive Medicine, 30(4), 333–339.

    Article  PubMed  Google Scholar 

  19. Mobley, L. R., et al. (2006). Environment, obesity, and cardiovascular disease risk in low-income women. American Journal of Preventive Medicine, 30(4), 327–332.

    Article  PubMed  Google Scholar 

  20. Richardson, A. S., et al. (2012). Are neighbourhood food resources distributed inequitably by income and race in the USA? Epidemiological findings across the urban spectrum. BMJ Open, 2(2), e000698.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Cheadle, A., et al. (1991). Community-level comparisons between the grocery store environment and individual dietary practices. Preventive Medicine, 20(2), 250–261.

    Article  CAS  PubMed  Google Scholar 

  22. Clarke, P., et al. (2010). Using Google Earth to conduct a neighborhood audit: reliability of a virtual audit instrument. Health Place, 16(6), 1224–1229.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Lefer, T. B., et al. (2008). Using Google Earth as an innovative tool for community mapping. Public Health Reports, 123(4), 474–480.

    PubMed  PubMed Central  Google Scholar 

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Acknowledgments

The source of the work is from the California Birth Certificate Database, Google Maps Extractor Software, Southern California Association of Government, Census 2010 and the American Community Survey. Funding was provided by Health Effect Institute (HEI 4787-RFA09-4110-3 WU).

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Correspondence to Christopher Young.

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Young, C., Laurent, O., Chung, J.H. et al. Geographic Distribution of Healthy Resources and Adverse Pregnancy Outcomes. Matern Child Health J 20, 1673–1679 (2016). https://doi.org/10.1007/s10995-016-1966-4

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