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IMPACT OF MULTIPLE PESTICIDE EXPOSURES ON CHILDHOOD CANCER RISK IN AGRICULTURAL COMMUNITIES. A COMPREHENSIVE EPIDEMIOLOGICAL STUDY.

  • Published In: Oxidation Communications, 2025, v. 48, n. 2. P. 564 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: SUVVARI, SIVA GOWRI PRASAD; Hemalatha, S.; GAYATHRI, M. MALINI; TINNALURI, V. S. NARAYANA; MURALI, V.; GUPTA, RUPESH; PHILIP, JIM MATHEW 3 of 3

Abstract

Environmental exposures, particularly pesticides, are more and more a cause for concern in the incidence of childhood cancer. This comprehensive epidemiological study investigates the impact of multiple pesticide exposures on childhood cancer risk in agricultural communities. We use pesticide application records, bio monitoring data from a large cohort of high exposure children and cancer registry information for both leukemia and brain and lymphoma cancer types in order to investigate associations between cumulative exposures and specific cancer types. Such potential confounders like socioeconomic status, genetic predisposition, as well as environmental toxins are controlled through advanced statistical models. What we found is that there are very significant correlations between pesticides, and increased risk of childhood cancer, and that is why it indicates that stricter regulatory policies, and more safety, indeed are necessary. This study emphasises the dire need for early life exposure ameliorating targets for mitigating early life exposures and of reducing early life exposure early in early life. These results add to the accumulating evidence on environmental determinants of pediatric cancer and gain insight in public health strategies in agricultural regions. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Oxidation Communications. 2025/04, Vol. 48, Issue 2, p564
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0209-4541
  • Accession Number:187274625
  • Copyright Statement:Copyright of Oxidation Communications is the property of SciBulCom Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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