IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i21p11648-d673333.html
   My bibliography  Save this article

Association between Exposure to Particulate Matter during Pregnancy and Multidimensional Development in School-Age Children: A Cross-Sectional Study in Italy

Author

Listed:
  • Paolo Girardi

    (Department of Developmental and Social Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy
    Department of Statistical Sciences, University of Padova, Via Cesare Battisti 241, 35121 Padova, Italy)

  • Silvia Lanfranchi

    (Department of Developmental and Social Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy)

  • Libera Ylenia Mastromatteo

    (Department of Developmental and Social Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy)

  • Massimo Stafoggia

    (Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Via Cristoforo Colombo, 112, 00147 Rome, Italy)

  • Sara Scrimin

    (Department of Developmental and Social Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy)

Abstract

Air pollutants can potentially affect the development of children. However, data on the effect of exposure to air pollution during pregnancy and developmental outcomes in school children are rare. We investigated the link between prenatal exposure to particulate matters smaller than 10 microns (PM 10 ) and the development of school-age children in multiple domains. Cross-sectional data were collected in Italy between 2013 and 2014. Children aged between 5 and 8 years (n = 1187) were assessed on cognitive, communication, socio-emotional, adaptive, and motor developmental domains using the Developmental Profile 3 questionnaire. The monthly average concentration of PM 10 during the entire fetal period was linked to the municipality of residence of the children. The increase in the prenatal PM 10 was associated with a decrease in the cognitive score during the second (+13.2 µg/m 3 PM 10 increase: −0.30 points; 95%CI: −0.12–−0.48) and third trimesters of pregnancy (−0.31 points; 95%CI: −0.11–−0.50). The communicative domain was also negatively influenced by PM 10 increases in the second trimester. The development of cognitive and communicative abilities of children was negatively associated with the exposure to PM 10 during the period of fetal development, confirming that exposure to air pollution during pregnancy can potentially hinder the development of the brain.

Suggested Citation

  • Paolo Girardi & Silvia Lanfranchi & Libera Ylenia Mastromatteo & Massimo Stafoggia & Sara Scrimin, 2021. "Association between Exposure to Particulate Matter during Pregnancy and Multidimensional Development in School-Age Children: A Cross-Sectional Study in Italy," IJERPH, MDPI, vol. 18(21), pages 1-13, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11648-:d:673333
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/21/11648/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/21/11648/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viola Tozzi & Aitana Lertxundi & Jesus M. Ibarluzea & Michela Baccini, 2019. "Causal Effects of Prenatal Exposure to PM 2.5 on Child Development and the Role of Unobserved Confounding," IJERPH, MDPI, vol. 16(22), pages 1-12, November.
    2. Zhuanlan Sun & Demi Zhu, 2019. "Exposure to outdoor air pollution and its human health outcomes: A scoping review," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-18, May.
    3. Koller, Manuel, 2016. "robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 75(i06).
    4. Patrick Gourley, 2020. "What are the Long-Term Effects of Prenatal Air Pollution Exposure? Evidence from the BHPS," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(4), pages 603-635, October.
    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. Laura A. McGuinn & Lisa D. Wiggins & Heather E. Volk & Qian Di & Eric J. Moody & Eric Kasten & Joel Schwartz & Robert O. Wright & Laura A. Schieve & Gayle C. Windham & Julie L. Daniels, 2022. "Pre- and Postnatal Fine Particulate Matter Exposure and Childhood Cognitive and Adaptive Function," IJERPH, MDPI, vol. 19(7), pages 1-10, March.

    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. Anna Mainka & Magdalena Żak, 2022. "Synergistic or Antagonistic Health Effects of Long- and Short-Term Exposure to Ambient NO 2 and PM 2.5 : A Review," IJERPH, MDPI, vol. 19(21), pages 1-20, October.
    2. Jinfang Sun & Zhichao Zhou & Jing Huang & Guoxing Li, 2020. "A Bibliometric Analysis of the Impacts of Air Pollution on Children," IJERPH, MDPI, vol. 17(4), pages 1-11, February.
    3. Wei Chen & Jian Chen & Guopeng Yin, 2022. "Exploring side effects of ridesharing services in urban China: role of pollution–averting behavior," Electronic Commerce Research, Springer, vol. 22(4), pages 1007-1034, December.
    4. Jukka Sundvall & Benjamin James Dyson, 2022. "Breaking the bonds of reinforcement: Effects of trial outcome, rule consistency and rule complexity against exploitable and unexploitable opponents," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-19, February.
    5. Alexander Robitzsch, 2020. "L p Loss Functions in Invariance Alignment and Haberman Linking with Few or Many Groups," Stats, MDPI, vol. 3(3), pages 1-38, August.
    6. Taruna Juneja Gandhi & Priyanka Rani Garg & Kauma Kurian & Jonas Bjurgert & Sirazul Ameen Sahariah & Sunil Mehra & Gayatri Vishwakarma, 2022. "Outdoor Physical Activity in an Air Polluted Environment and Its Effect on the Cardiovascular System—A Systematic Review," IJERPH, MDPI, vol. 19(17), pages 1-24, August.
    7. José Luis Texcalac-Sangrador & Magali Hurtado-Díaz & Eunice Elizabeth Félix-Arellano & Carlos Manuel Guerrero-López & Horacio Riojas-Rodríguez, 2021. "Health and Economic Impacts Assessment of O 3 Exposure in Mexico," IJERPH, MDPI, vol. 18(21), pages 1-10, November.
    8. Yohannes Woldamanuel & Patrick Bergman & Philip von Rosen & Unn-Britt Johansson & Maria Hagströmer & Jenny Rossen, 2024. "Association between Weather and Self-Monitored Steps in Individuals with Prediabetes and Type 2 Diabetes in Sweden over Two Years," IJERPH, MDPI, vol. 21(4), pages 1-10, March.
    9. Weeks, Ana Catalano & Meguid, Bonnie M. & Kittilson, Miki Caul & Coffé, Hilde, 2024. "Response to "Do Radical-Right Parties Use Descriptive Representation Strategically? A Replication of Weeks et al. (2023)"," I4R Discussion Paper Series 150, The Institute for Replication (I4R).
    10. Alberto Corral-Lopez & Alexander Kotrschal & Alexander Szorkovszky & Maddi Garate-Olaizola & James Herbert-Read & Wouter Bijl & Maksym Romenskyy & Hong-Li Zeng & Severine Denise Buechel & Ada Fontrodo, 2023. "Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    11. Fitzpatrick, Trevor & Mues, Christophe, 2021. "How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments," European Journal of Operational Research, Elsevier, vol. 294(2), pages 711-722.
    12. Azwardi Azwardi & Sukanto Sukanto & Alghifari Mahdi Igamo & Arika Kurniawan, 2021. "Carbon Emissions, Economic Growth, Forest, Agricultural Land and Air Pollution in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 537-542.
    13. Yu, Dalei & Ding, Chang & He, Na & Wang, Ruiwu & Zhou, Xiaohua & Shi, Lei, 2019. "Robust estimation and confidence interval in meta-regression models," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 93-118.
    14. Patterson, Andrew C., 2024. "Civil service organization as a political determinant of health: Analyzing relationships between merit-based hiring, corruption, and population health," Social Science & Medicine, Elsevier, vol. 348(C).
    15. Özgür Asar & David Bolin & Peter J. Diggle & Jonas Wallin, 2020. "Linear mixed effects models for non‐Gaussian continuous repeated measurement data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1015-1065, November.
    16. Yuxiao Chen & Densil Cabrera & Manuj Yadav, 2023. "Finding the Seat With the Best View: Stage-View Preference for Orchestra," SAGE Open, , vol. 13(2), pages 21582440231, June.
    17. Holger Zimmerman & Deryk Tolman & Martin Reichard, 2023. "Low incidence of cannibalism among brood parasitic cuckoo catfish embryos," Behavioral Ecology, International Society for Behavioral Ecology, vol. 34(4), pages 521-527.
    18. Monica E. Ellwood-Lowe & Susan Whitfield-Gabrieli & Silvia A. Bunge, 2021. "Brain network coupling associated with cognitive performance varies as a function of a child’s environment in the ABCD study," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    19. Field, Andy Peter Professor & Wilcox, Rand R., 2017. "Robust statistical methods: a primer for clinical psychology and experimental psychopathology researchers," OSF Preprints v3nz4, Center for Open Science.
    20. Renchao Chen & Jun Yang & Chunlin Zhang & Bixia Li & Stéphanie Bergmann & Fangfang Zeng & Hao Wang & Boguang Wang, 2019. "Global Associations of Air Pollution and Conjunctivitis Diseases: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 16(19), pages 1-21, September.

    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:18:y:2021:i:21:p:11648-:d:673333. 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.