IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i9p5647-d1133284.html
   My bibliography  Save this article

Pesticide Exposure among Latinx Children in Rural Farmworker and Urban Non-Farmworker Communities: Associations with Locality and Season

Author

Listed:
  • Thomas A. Arcury

    (Department of Family and Community Medicine, and Center for Worker Health, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA)

  • Haiying Chen

    (Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA)

  • Sara A. Quandt

    (Department of Epidemiology and Prevention, Division of Public Health Sciences, and Center for Worker Health, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA)

  • Jennifer W. Talton

    (Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA)

  • Kim A. Anderson

    (Department of Environmental and Molecular Toxicology, Oregon State University, 2750 SW Campus Way, Corvallis, OR 97331, USA)

  • Richard P. Scott

    (Department of Environmental and Molecular Toxicology, Oregon State University, 2750 SW Campus Way, Corvallis, OR 97331, USA)

  • Phillip Summers

    (Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA)

  • Paul J. Laurienti

    (Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA)

Abstract

This study uses repeated measures to document the pesticide exposure of rural and urban Latinx children (age eight at baseline), and to compare these children in terms of the frequency and concentration of their exposure to a large set of pesticides, accounting for season. We used silicone wristbands worn for one week up to ten times at quarterly intervals from 2018 to 2022 to assess pesticide exposure in children from rural farmworker ( n = 75) and urban non-farmworker ( n = 61) families. We determined the detection and concentrations (ng/g) of 72 pesticides and pesticide degradation products in the wristbands using gas chromatography electron capture detection and gas chromatography mass spectrometry. The most frequently detected pesticide classes were organochlorines, pyrethroids, and organophosphates. Controlling for season, organochlorine or phenylpyrazole detections were less likely for rural children than for urban children. Detections of organochlorines, pyrethroids, or organophosphates were lower in spring and summer versus winter. Controlling for season, urban children had greater concentrations of organochlorines, while rural children had greater concentrations of pyrethroids and Chlorpyrifos. Pesticide concentrations were lower in winter and spring compared with summer and fall. These results further document that pesticides are ubiquitous in the living environment for children in vulnerable, immigrant communities.

Suggested Citation

  • Thomas A. Arcury & Haiying Chen & Sara A. Quandt & Jennifer W. Talton & Kim A. Anderson & Richard P. Scott & Phillip Summers & Paul J. Laurienti, 2023. "Pesticide Exposure among Latinx Children in Rural Farmworker and Urban Non-Farmworker Communities: Associations with Locality and Season," IJERPH, MDPI, vol. 20(9), pages 1-23, April.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:9:p:5647-:d:1133284
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/9/5647/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/9/5647/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. P. Shaw & D. Greenstein & J. Lerch & L. Clasen & R. Lenroot & N. Gogtay & A. Evans & J. Rapoport & J. Giedd, 2006. "Intellectual ability and cortical development in children and adolescents," Nature, Nature, vol. 440(7084), pages 676-679, March.
    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. Yufik, Yan M., 2013. "Understanding, consciousness and thermodynamics of cognition," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 44-59.
    2. Román, Francisco J. & Morillo, Daniel & Estrada, Eduardo & Escorial, Sergio & Karama, Sherif & Colom, Roberto, 2018. "Brain-intelligence relationships across childhood and adolescence: A latent-variable approach," Intelligence, Elsevier, vol. 68(C), pages 21-29.
    3. Sobia Jamil & Syed Imran Zaman & Yasanur Kayikci & Sharfuddin Ahmed Khan, 2023. "The Role of Green Recruitment on Organizational Sustainability Performance: A Study within the Context of Green Human Resource Management," Sustainability, MDPI, vol. 15(21), pages 1-31, November.
    4. Girault, Jessica B. & Langworthy, Benjamin W. & Goldman, Barbara D. & Stephens, Rebecca L. & Cornea, Emil & Steven Reznick, J. & Fine, Jason & Gilmore, John H., 2018. "The predictive value of developmental assessments at 1 and 2 for intelligence quotients at 6," Intelligence, Elsevier, vol. 68(C), pages 58-65.
    5. Runye Shi & Shitong Xiang & Tianye Jia & Trevor W. Robbins & Jujiao Kang & Tobias Banaschewski & Gareth J. Barker & Arun L. W. Bokde & Sylvane Desrivières & Herta Flor & Antoine Grigis & Hugh Garavan , 2024. "Investigating grey matter volumetric trajectories through the lifespan at the individual level," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    6. van der Linden, Dimitri & Dunkel, Curtis S. & Madison, Guy, 2017. "Sex differences in brain size and general intelligence (g)," Intelligence, Elsevier, vol. 63(C), pages 78-88.
    7. de Souza, Erick Almeida & Silva, Stéphanie Andrade & Vieira, Bruno Hebling & Salmon, Carlos Ernesto Garrido, 2023. "fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance," Intelligence, Elsevier, vol. 97(C).
    8. T. Tony Cai & Weidong Liu, 2016. "Large-Scale Multiple Testing of Correlations," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 229-240, March.
    9. Xinyuan Liang & Lianglong Sun & Xuhong Liao & Tianyuan Lei & Mingrui Xia & Dingna Duan & Zilong Zeng & Qiongling Li & Zhilei Xu & Weiwei Men & Yanpei Wang & Shuping Tan & Jia-Hong Gao & Shaozheng Qin , 2024. "Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    10. Drakulich, Stefan & Sitartchouk, Arseni & Olafson, Emily & Sarhani, Reda & Thiffault, Anne-Charlotte & Chakravarty, Mallar & Evans, Alan C. & Karama, Sherif, 2022. "General cognitive ability and pericortical contrast," Intelligence, Elsevier, vol. 91(C).
    11. Cai, T. Tony & Zhang, Anru, 2016. "Inference for high-dimensional differential correlation matrices," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 107-126.
    12. Cui, Can & Wu, Teresa & Hu, Mengqi & Weir, Jeffery D. & Li, Xiwang, 2016. "Short-term building energy model recommendation system: A meta-learning approach," Applied Energy, Elsevier, vol. 172(C), pages 251-263.
    13. Kocevar, Gabriel & Suprano, Ilaria & Stamile, Claudio & Hannoun, Salem & Fourneret, Pierre & Revol, Olivier & Nusbaum, Fanny & Sappey-Marinier, Dominique, 2019. "Brain structural connectivity correlates with fluid intelligence in children: A DTI graph analysis," Intelligence, Elsevier, vol. 72(C), pages 67-75.

    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:20:y:2023:i:9:p:5647-:d:1133284. 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.