Environmental radiofrequency exposure and genotoxic biomarkers in schoolchildren: a cross-sectional analysis
Abstract
Environmental exposure to radiofrequency (RF) radiation from mobile phone base stations (MPBS) has raised concerns regarding potential biological effects, particularly in children. This cross-sectional study examined the associations between ambient RF exposure and micronuclei (MN) frequency, a biomarker of genomic instability, among 200 primary schoolchildren. Environmental RF power density (S, µW/cm²) was measured at eight schools located at varying distances from MPBS, and buccal mucosa samples were analyzed for MN frequency. Exploratory analyses showed that RF radiation levels were inversely correlated with distance from MPBS (r = - 0.740, p < 0.001), while MN frequency was positively correlated with measured RF levels (r = 0.850, p < 0.001). Primary inferential analyses were performed using linear mixed-effects models with school included as a random intercept to account for clustering, adjusting for demographic, lifestyle, and environmental covariates. Higher RF power density and shorter distance from MPBS remained statistically associated with higher MN frequency, with consistent findings observed in sensitivity analyses using distance from MPBS as an alternative exposure parameter. All measured RF levels were below current international public exposure guidelines. These findings suggest that variation in ambient RF exposure in school environments may be associated with MN frequency in children. Given the cross-sectional design and school-level exposure assessment, the results should be interpreted as exploratory and hypothesis-generating.
AI evidence extraction
Main findings
Measured RF power density was positively correlated with micronuclei frequency, and RF levels were inversely correlated with distance from mobile phone base stations. In adjusted linear mixed-effects models, higher RF power density and shorter distance from base stations were statistically associated with higher micronuclei frequency; all measured RF levels were below current international public exposure guidelines.
Outcomes measured
- Buccal mucosa micronuclei frequency
- Genomic instability biomarker
Limitations
- Cross-sectional design
- Exposure assessed at the school level
- Findings characterized as exploratory and hypothesis-generating
View raw extracted JSON
{
"study_type": "cross_sectional",
"exposure": {
"band": "RF",
"source": "mobile phone base station",
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": "Primary schoolchildren from eight schools located at varying distances from mobile phone base stations",
"sample_size": 200,
"outcomes": [
"Buccal mucosa micronuclei frequency",
"Genomic instability biomarker"
],
"main_findings": "Measured RF power density was positively correlated with micronuclei frequency, and RF levels were inversely correlated with distance from mobile phone base stations. In adjusted linear mixed-effects models, higher RF power density and shorter distance from base stations were statistically associated with higher micronuclei frequency; all measured RF levels were below current international public exposure guidelines.",
"effect_direction": "harm",
"limitations": [
"Cross-sectional design",
"Exposure assessed at the school level",
"Findings characterized as exploratory and hypothesis-generating"
],
"evidence_strength": "low",
"confidence": 0.979999999999999982236431605997495353221893310546875,
"peer_reviewed_likely": "yes",
"keywords": [
"radiofrequency radiation",
"mobile phone base stations",
"schoolchildren",
"micronuclei",
"genotoxicity",
"genomic instability",
"buccal mucosa",
"environmental exposure",
"power density"
],
"suggested_hubs": []
}
AI can be wrong. Always verify against the paper.
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