IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i6p624-d72530.html
   My bibliography  Save this article

City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France

Author

Listed:
  • Cindy M. Padilla

    (Department of Quantitative Methods in Public Health, EHESP School of Public Health-Sorbonne-Paris Cité, Rennes 35043, France
    IRSET—Research Institute of Environmental and Occupational Health, Rennes 35000, France)

  • Wahida Kihal-Talantikit

    (Department of Environmental and Occupational Health, EHESP School of Public Health, Rennes, Sorbonne-Paris Cité 35043, France)

  • Verónica M. Vieira

    (Program in Public Health, Chao Family Cancer Center, University of Irvine, Irvine, CA 92697, USA)

  • Séverine Deguen

    (IRSET—Research Institute of Environmental and Occupational Health, Rennes 35000, France
    Department of Environmental and Occupational Health, EHESP School of Public Health, Rennes, Sorbonne-Paris Cité 35043, France)

Abstract

Infant and neonatal mortality indicators are known to vary geographically, possibly as a result of socioeconomic and environmental inequalities. To better understand how these factors contribute to spatial and temporal patterns, we conducted a French ecological study comparing two time periods between 2002 and 2009 for three (purposefully distinct) Metropolitan Areas (MAs) and the city of Paris, using the French census block of parental residence as the geographic unit of analysis. We identified areas of excess risk and assessed the role of neighborhood deprivation and average nitrogen dioxide concentrations using generalized additive models to generate maps smoothed on longitude and latitude. Comparison of the two time periods indicated that statistically significant areas of elevated infant and neonatal mortality shifted northwards for the city of Paris, are present only in the earlier time period for Lille MA, only in the later time period for Lyon MA, and decrease over time for Marseille MA. These city-specific geographic patterns in neonatal and infant mortality are largely explained by socioeconomic and environmental inequalities. Spatial analysis can be a useful tool for understanding how risk factors contribute to disparities in health outcomes ranging from infant mortality to infectious disease—a leading cause of infant mortality.

Suggested Citation

  • Cindy M. Padilla & Wahida Kihal-Talantikit & Verónica M. Vieira & Séverine Deguen, 2016. "City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France," IJERPH, MDPI, vol. 13(6), pages 1-21, June.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:6:p:624-:d:72530
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/6/624/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/6/624/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Crouse, Dan L. & Ross, Nancy A. & Goldberg, Mark S., 2009. "Double burden of deprivation and high concentrations of ambient air pollution at the neighbourhood scale in Montreal, Canada," Social Science & Medicine, Elsevier, vol. 69(6), pages 971-981, September.
    2. repec:cai:poeine:pope_1204_0493 is not listed on IDEAS
    3. Flowerdew, Robin & Manley, David J. & Sabel, Clive E., 2008. "Neighbourhood effects on health: Does it matter where you draw the boundaries?," Social Science & Medicine, Elsevier, vol. 66(6), pages 1241-1255, March.
    4. Simon N. Wood, 2004. "Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 673-686, January.
    5. Grady, Sue C., 2006. "Racial disparities in low birthweight and the contribution of residential segregation: A multilevel analysis," Social Science & Medicine, Elsevier, vol. 63(12), pages 3013-3029, December.
    6. Cockings, Samantha & Martin, David, 2005. "Zone design for environment and health studies using pre-aggregated data," Social Science & Medicine, Elsevier, vol. 60(12), pages 2729-2742, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wahida Kihal-Talantikite & Guadalupe Perez Marchetta & Séverine Deguen, 2020. "Infant Mortality Related to NO 2 and PM Exposure: Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(8), pages 1-24, April.
    2. Hung Chak Ho & Kevin Ka-Lun Lau & Ruby Yu & Dan Wang & Jean Woo & Timothy Chi Yui Kwok & Edward Ng, 2017. "Spatial Variability of Geriatric Depression Risk in a High-Density City: A Data-Driven Socio-Environmental Vulnerability Mapping Approach," IJERPH, MDPI, vol. 14(9), pages 1-16, August.
    3. Peter Congdon, 2016. "Spatiotemporal Frameworks for Infectious Disease Diffusion and Epidemiology," IJERPH, MDPI, vol. 13(12), pages 1-4, December.
    4. Severine Deguen & Nina Ahlers & Morgane Gilles & Arlette Danzon & Marion Carayol & Denis Zmirou-Navier & Wahida Kihal-Talantikite, 2018. "Using a Clustering Approach to Investigate Socio-Environmental Inequality in Preterm Birth—A Study Conducted at Fine Spatial Scale in Paris (France)," IJERPH, MDPI, vol. 15(9), pages 1-19, August.
    5. Cindy M. Padilla & François Painblanc & Patricia Soler-Michel & Veronica M. Vieira, 2019. "Mapping Variation in Breast Cancer Screening: Where to Intervene?," IJERPH, MDPI, vol. 16(13), pages 1-14, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samantha Cockings & Andrew Harfoot & David Martin & Duncan Hornby, 2013. "Getting the Foundations Right: Spatial Building Blocks for Official Population Statistics," Environment and Planning A, , vol. 45(6), pages 1403-1420, June.
    2. Chunzhu Wei & Pablo Cabrera-Barona & Thomas Blaschke, 2016. "Local Geographic Variation of Public Services Inequality: Does the Neighborhood Scale Matter?," IJERPH, MDPI, vol. 13(10), pages 1-20, October.
    3. Samantha Cockings & Andrew Harfoot & David Martin & Duncan Hornby, 2011. "Maintaining Existing Zoning Systems Using Automated Zone-Design Techniques: Methods for Creating the 2011 Census Output Geographies for England and Wales," Environment and Planning A, , vol. 43(10), pages 2399-2418, October.
    4. Rainham, Daniel & McDowell, Ian & Krewski, Daniel & Sawada, Mike, 2010. "Conceptualizing the healthscape: Contributions of time geography, location technologies and spatial ecology to place and health research," Social Science & Medicine, Elsevier, vol. 70(5), pages 668-676, March.
    5. Siegel, Martin & Koller, Daniela & Vogt, Verena & Sundmacher, Leonie, 2016. "Developing a composite index of spatial accessibility across different health care sectors: A German example," Health Policy, Elsevier, vol. 120(2), pages 205-212.
    6. Chunzhu Wei & Mark Padgham & Pablo Cabrera Barona & Thomas Blaschke, 2017. "Scale-Free Relationships between Social and Landscape Factors in Urban Systems," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    7. Sabel, C.E. & Kihal, W. & Bard, D. & Weber, C., 2013. "Creation of synthetic homogeneous neighbourhoods using zone design algorithms to explore relationships between asthma and deprivation in Strasbourg, France," Social Science & Medicine, Elsevier, vol. 91(C), pages 110-121.
    8. Daniel Nettle, 2010. "Why Are There Social Gradients in Preventative Health Behavior? A Perspective from Behavioral Ecology," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-6, October.
    9. Sékou Samadoulougou & Laurence Letarte & Alexandre Lebel, 2022. "Association between Neighbourhood Deprivation Trajectories and Self-Perceived Health: Analysis of a Linked Survey and Health Administrative Data," IJERPH, MDPI, vol. 20(1), pages 1-14, December.
    10. Xiaoying Liu & Jere R. Behrman & Emily Hannum & Fan Wang & Qingguo Zhao, 2022. "Same environment, stratified impacts? Air pollution, extreme temperatures, and birth weight in south China," Papers 2204.00219, arXiv.org.
    11. Christopher Muller & Daniel Schrage, 2014. "Mass Imprisonment and Trust in the Law," The ANNALS of the American Academy of Political and Social Science, , vol. 651(1), pages 139-158, January.
    12. Yanrong Qiu & Kaihuai Liao & Yanting Zou & Gengzhi Huang, 2022. "A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    13. Fiaschi, Davide & Lavezzi, Andrea Mario, 2007. "Nonlinear economic growth: Some theory and cross-country evidence," Journal of Development Economics, Elsevier, vol. 84(1), pages 271-290, September.
    14. Wayne M. Tsuang & Maeve MacMurdo & Jacqueline Curtis, 2022. "Application of Place-Based Methods to Lung Transplant Medicine," IJERPH, MDPI, vol. 19(12), pages 1-9, June.
    15. Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Härdle, 2021. "Rise of the machines? Intraday high-frequency trading patterns of cryptocurrencies," The European Journal of Finance, Taylor & Francis Journals, vol. 27(1-2), pages 8-30, January.
    16. Seth E Spielman & Eun-Hye Yoo & Crystal Linkletter, 2013. "Neighborhood Contexts, Health, and Behavior: Understanding the Role of Scale and Residential Sorting," Environment and Planning B, , vol. 40(3), pages 489-506, June.
    17. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    18. Koji Karato & Oleksandr Movshuk & Chihiro Shimizu, 2015. "Semiparametric Model of Hedonic Housing Prices in Japan," Asian Economic Journal, East Asian Economic Association, vol. 29(4), pages 325-345, December.
    19. Strasak, Alexander M. & Umlauf, Nikolaus & Pfeiffer, Ruth M. & Lang, Stefan, 2011. "Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1540-1551, April.
    20. Carrier, Mathieu & Apparicio, Philippe & Séguin, Anne-Marie, 2016. "Road traffic noise in Montreal and environmental equity: What is the situation for the most vulnerable population groups?," Journal of Transport Geography, Elsevier, vol. 51(C), pages 1-8.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:6:p:624-:d:72530. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.