IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i9p1895-d166950.html
   My bibliography  Save this article

Using a Clustering Approach to Investigate Socio-Environmental Inequality in Preterm Birth—A Study Conducted at Fine Spatial Scale in Paris (France)

Author

Listed:
  • Severine Deguen

    (School of Public Health (EHESP), DSET&GS, 35043 Rennes CEDEX, France
    Department of Social Epidemiology, Institut Pierre Louis d’Epidémiologie et de Santé Publique (UMRS 1136), Sorbonne Universités, UPMC Univ Paris 06, INSERM, 75012 Paris, France)

  • Nina Ahlers

    (School of Public Health (EHESP), DSET&GS, 35043 Rennes CEDEX, France)

  • Morgane Gilles

    (School of Public Health (EHESP), DSET&GS, 35043 Rennes CEDEX, France)

  • Arlette Danzon

    (Service de Protection Maternelle et Infantile, Direction des Familles et de la Petite Enfance, Mairie de Paris, 75196 Paris, France)

  • Marion Carayol

    (Service de Protection Maternelle et Infantile, Direction des Familles et de la Petite Enfance, Mairie de Paris, 75196 Paris, France)

  • Denis Zmirou-Navier

    (School of Public Health (EHESP), DSET&GS, 35043 Rennes CEDEX, France
    School of medicine, Lorraine University, 54000 Nancy, France
    Inserm, Irset (Institut de recherche en santé, environnement et travail)—UMR-S 1085, F-35000 Rennes, France)

  • Wahida Kihal-Talantikite

    (Laboratoire Image Ville Environnement, LIVE UMR 7362 CNRS, University of Strasbourg, 6700 Strasbourg, France)

Abstract

Background & Objectives : Today, to support public policies aiming to tackle environmental and health inequality, identification and monitoring of the spatial pattern of adverse birth outcomes are crucial. Spatial identification of the more vulnerable population to air pollution may orient health interventions. In this context, the objective of this study is to investigate the geographical distribution of the risk of preterm birth (PTB, gestational age ≤36 weeks) at the census block level in in city of Paris, France. We also aimed to assess the implication of neighborhood characteristics including air pollution and socio-economic deprivation. Material & Methods : Newborn health data are available from the first birth certificate registered by the Maternal and Child Care department of Paris. All PTB from January 2008 to December 2011 were geocoded at the mother residential census block. Each census block was assigned a socioeconomic deprivation level and annual average ambient concentrations of NO 2 . A spatial clustering approach was used to investigate the spatial distribution of PTB. Results : Our results highlight that PTB is non-randomly spatially distributed, with a cluster of high risk in the northeastern area of Paris (RR = 1.15; p = 0.06). After adjustment for socio-economic deprivation and NO 2 concentrations, this cluster becomes not statistically significant or shifts suggesting that these characteristics explain the spatial distribution of PTB; further, their combination shows an interaction in comparison with SES or NO 2 levels alone. Conclusions : Our results may inform the decision makers about the areas where public health efforts should be strengthened to tackle the risk of PTB and to choose the most appropriate and specific community-oriented health interventions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:1895-:d:166950
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/9/1895/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/9/1895/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesca Dominici & Lianne Sheppard & Merlise Clyde, 2003. "Health Effects of Air Pollution: A Statistical Review," International Statistical Review, International Statistical Institute, vol. 71(2), pages 243-276, August.
    2. Kihal-Talantikite Wahida & Cindy M. Padilla & Zmirou-Navier Denis & Blanchard Olivier & Le Nir Géraldine & Quenel Philippe & Deguen Séverine, 2016. "A Conceptual Framework for the Assessment of Cumulative Exposure to Air Pollution at a Fine Spatial Scale," IJERPH, MDPI, vol. 13(3), pages 1-21, March.
    3. Sabel, Clive Eric & Wilson, Jeff Gaines & Kingham, Simon & Tisch, Catherine & Epton, Mike, 2007. "Spatial implications of covariate adjustment on patterns of risk: Respiratory hospital admissions in Christchurch, New Zealand," Social Science & Medicine, Elsevier, vol. 65(1), pages 43-59, July.
    4. 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.
    5. 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.
    6. Alyssa J. Beltran & Jun Wu & Olivier Laurent, 2013. "Associations of Meteorology with Adverse Pregnancy Outcomes: A Systematic Review of Preeclampsia, Preterm Birth and Birth Weight," IJERPH, MDPI, vol. 11(1), pages 1-82, December.
    7. Michael Jerrett & Sara Gale & Caitlin Kontgis, 2010. "Spatial Modeling in Environmental and Public Health Research," IJERPH, MDPI, vol. 7(4), pages 1-28, March.
    8. Ncube, Collette N. & Enquobahrie, Daniel A. & Albert, Steven M. & Herrick, Amy L. & Burke, Jessica G., 2016. "Association of neighborhood context with offspring risk of preterm birth and low birthweight: A systematic review and meta-analysis of population-based studies," Social Science & Medicine, Elsevier, vol. 153(C), pages 156-164.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Winifred U. Anake & Faith O. Bayode & Hassana O. Jonathan & Conrad A. Omonhinmin & Oluwole A. Odetunmibi & Timothy A. Anake, 2022. "Screening of Plant Species Response and Performance for Green Belt Development: Implications for Semi-Urban Ecosystem Restoration," Sustainability, MDPI, vol. 14(7), pages 1-14, March.
    3. Will Davis & Alexander Gordan & Rusty Tchernis, 2021. "Measuring the spatial distribution of health rankings in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2921-2936, November.
    4. Sabel, Clive Eric & Wilson, Jeff Gaines & Kingham, Simon & Tisch, Catherine & Epton, Mike, 2007. "Spatial implications of covariate adjustment on patterns of risk: Respiratory hospital admissions in Christchurch, New Zealand," Social Science & Medicine, Elsevier, vol. 65(1), pages 43-59, July.
    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.
    6. Sehyeong Kim & Youngho Kim, 2019. "Spatially Filtered Multilevel Analysis on Spatial Determinants for Malaria Occurrence in Korea," IJERPH, MDPI, vol. 16(7), pages 1-11, April.
    7. 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.
    8. I. G. Shuttleworth & C. D. Lloyd & D. J. Martin, 2011. "Exploring the implications of changing census output geographies for the measurement of residential segregation: the example of Northern Ireland 1991–2001," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 1-16, January.
    9. Meicun Li & Chunmei Mao, 2020. "Spatial Effect of Industrial Energy Consumption Structure and Transportation on Haze Pollution in Beijing-Tianjin-Hebei Region," IJERPH, MDPI, vol. 17(15), pages 1-12, August.
    10. Allison A. Appleton & Betty Lin & Elizabeth A. Holdsworth & Beth J. Feingold & Lawrence M. Schell, 2021. "Prenatal Exposure to Favorable Social and Environmental Neighborhood Conditions Is Associated with Healthy Pregnancy and Infant Outcomes," IJERPH, MDPI, vol. 18(11), pages 1-13, June.
    11. Adam A. Szpiro & Lianne Sheppard & Sara D. Adar & Joel D. Kaufman, 2014. "Estimating acute air pollution health effects from cohort study data," Biometrics, The International Biometric Society, vol. 70(1), pages 164-174, March.
    12. Federica Asta & Paola Michelozzi & Giulia Cesaroni & Manuela De Sario & Chiara Badaloni & Marina Davoli & Patrizia Schifano, 2019. "The Modifying Role of Socioeconomic Position and Greenness on the Short-Term Effect of Heat and Air Pollution on Preterm Births in Rome, 2001–2013," IJERPH, MDPI, vol. 16(14), pages 1-12, July.
    13. Sylvester Dodzi Nyadanu & Gizachew Assefa Tessema & Ben Mullins & Bernard Kumi-Boateng & Michelle Lee Bell & Gavin Pereira, 2020. "Ambient Air Pollution, Extreme Temperatures and Birth Outcomes: A Protocol for an Umbrella Review, Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    14. Dalia M. Muñoz-Pizza & Mariana Villada-Canela & M. A. Reyna & José Luis Texcalac-Sangrador & Jesús Serrano-Lomelin & Álvaro Osornio-Vargas, 2020. "Assessing the Influence of Socioeconomic Status and Air Pollution Levels on the Public Perception of Local Air Quality in a Mexico-US Border City," IJERPH, MDPI, vol. 17(13), pages 1-22, June.
    15. Jesus Serrano-Lomelin & Charlene C. Nielsen & Anne Hicks & Susan Crawford & Jeffrey A. Bakal & Maria B. Ospina, 2020. "Geographic Inequalities of Respiratory Health Services Utilization during Childhood in Edmonton and Calgary, Canada: A Tale of Two Cities," IJERPH, MDPI, vol. 17(23), pages 1-17, December.
    16. Gao, Xing & Thomas, Timothy A. & Morello-Frosch, Rachel & Allen, Amani M. & Snowden, Jonathan M. & Carmichael, Suzan L. & Mujahid, Mahasin S., 2023. "Neighborhood gentrification, displacement, and severe maternal morbidity in California," Social Science & Medicine, Elsevier, vol. 334(C).
    17. Jazmin D. Ramirez & Isabel Maldonado & Katharine J. Mach & Jonell Potter & Raymond R. Balise & Hudson Santos, 2024. "Evaluating the Impact of Heat Stress on Placental Function: A Systematic Review," IJERPH, MDPI, vol. 21(8), pages 1-24, August.
    18. Phuong T. Vu & Timothy V. Larson & Adam A. Szpiro, 2020. "Probabilistic predictive principal component analysis for spatially misaligned and high‐dimensional air pollution data with missing observations," Environmetrics, John Wiley & Sons, Ltd., vol. 31(4), June.
    19. Bamishigbin, Olajide N. & Dunkel Schetter, Chris & Stanton, Annette L., 2019. "The antecedents and consequences of adolescent fatherhood: A systematic review," Social Science & Medicine, Elsevier, vol. 232(C), pages 106-119.
    20. Mehra, Renee & Boyd, Lisa M. & Ickovics, Jeannette R., 2017. "Racial residential segregation and adverse birth outcomes: A systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 191(C), pages 237-250.

    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:15:y:2018:i:9:p:1895-:d:166950. 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.