Childhood dyslexia risk elevated by heavy metal mixtures from e-waste: A machine learning-driven mixture modeling

Xinle Yu1, Xuanzhi Zhang1, Wanyi Wen2

  • 1Mental Health Center of Shantou University, Shantou, Guangdong, China; Shantou University Medical College-Faculty of Medicine of University of Manitoba Joint Laboratory of Biological Psychiatry, Shantou, Guangdong, China.

Summary

Exposure to heavy metal mixtures from e-waste recycling is linked to increased developmental dyslexia risk in children. Chromium, nickel, and lead are key contributors, highlighting the need for environmental cleanup and health interventions.

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