Relationship between radiofrequency-electromagnetic radiation from cellular phones and brain tumor: meta-analyses using various proxies for RF-EMR exposure-outcome assessment

Authors: Moon J, Kwon J, Mun Y

Year: 2024

Category: Epidemiology

Journal: Environmental Health

DOI: 10.1186/s12940-024-01117-8

URL: https://ehjournal.biomedcentral.com/articles/10.1186/s12940-024-01117-8

Abstract

Introduction

This study conducted meta-analyses to examine the association between mobile/cellular phone use and the risk of brain tumor development, utilizing various subcategories of radiofrequency-electromagnetic radiation (RF-EMR) exposure. Rapid advancements in WPAN technology (e.g., Bluetooth) and shifting mobile phone usage patterns necessitate more refined assessment approaches in RF-EMR research.

Methods

  • Extensive literature search was performed across MEDLINE (PubMed), EMBASE, and Cochrane Library up to December 16, 2020.
  • Analysis included 19 case-control studies and 5 cohort studies.

Findings

  • Users with ipsilateral exposure (same side of head) had a pooled odds ratio (OR) of 1.40 (95% CI: 1.21-1.62) versus non-regular users.
  • Participants with more than 10 years of phone use had an OR of 1.27 (95% CI: 1.08-1.48).
  • Stratification by tumor type revealed statistically significant increased risks for:
    • Meningioma (OR 1.20),
    • Glioma (OR 1.45),
    • Malignant brain tumors (OR 1.93) among ipsilateral users.
    • Glioma (OR 1.32) in long-term users (>10 years).
  • For those with over 896 hours cumulative usage, the pooled OR was 1.59 (95% CI: 1.25-2.02):
    • Glioma (OR 1.66),
    • Meningioma (OR 1.29),
    • Acoustic neuroma (OR 1.84).
  • Highest individual study ORs: glioma 2.89, meningioma 2.57, acoustic neuroma 3.53, with heavy use/cumulative exposure.
  • Cohort studies provided statistically equivocal results overall, but point estimates for acoustic neuroma were increased for ever-users (RR 1.26) and for over 10 years usage (RR 1.61).

Key Excerpts & Insights

  • Current proxies for RF-EMR exposure are considered crude, underlining the need for more refined exposure measurement to clarify health effects.
  • The precision of exposure assessment influences the strength of observed risk: more concrete exposure subcategories yielded more significant risk associations.
  • Insufficient latency periods for tumor development in existing studies may underestimate the true risk—emphasizing the need for longer observational spans.
  • Bias due to selection, recall, or misclassification may also contribute to underestimation of risk; improved methodologies are needed for future research.

Conclusion

This comprehensive meta-analysis highlights that increased RF-EMR exposure from mobile phone use—especially heavy, prolonged, or ipsilateral usage—shows a statistically significant association with elevated brain tumor risk. Users should be aware of the potential increased risk of brain tumors, notably gliomas, meningiomas, and acoustic neuromas, with chronic and high cumulative exposure to mobile phone radiation. The study strongly supports the need for continued, refined research and greater public health awareness regarding EMF safety.

radiofrequency electromagnetic radiation brain tumor mobile phones meta-analysis exposure assessment cancer risk
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