Case-control study on occupational exposure to extremely low-frequency electromagnetic fields and the association with acoustic neuroma
Abstract
Case-control study on occupational exposure to extremely low-frequency electromagnetic fields and the association with acoustic neuroma Carlberg M, Koppel T, Ahonen M, Hardell L. Case-control study on occupational exposure to extremely low- frequency electromagnetic fields and the association with acoustic neuroma. Environmental Research. Available online 7 May 2020, 109621 Highlights • Exposure to ELF-EMF has been classified as a possible human carcinogen by IARC. • Risk for acoustic neuroma was investigated for occupations with ELF-EMF exposure. • No increased risk for acoustic neuroma was found in any exposure category. Abstract Exposure to extremely low-frequency electromagnetic fields (ELF-EMF) was in 2002 classified as a possible human carcinogen, Group 2B, by the International Agency for Research on Cancer at WHO based on an increased risk for childhood leukemia. In case-control studies on brain and head tumours during 1997-2003 and 2007-2009 we assessed life-time occupations in addition to exposure to different agents. The INTEROCC ELF- EMF Job-Exposure Matrix was used for associating occupations with ELF-EMF exposure (μT) with acoustic neuroma. Cumulative exposure (μT-years), average exposure (μT) and maximum exposed job (μT) were calculated. No increased risk for acoustic neuroma was found in any category. For cumulative exposure in the highest exposure category 8.52+ μT years odds ratio (OR) = 1.2, 95 % confidence interval (CI) = 0.8-2.0, p linear trend = 0.37 was calculated. No statistically significant risks were found in the time windows 1-14 years, and 15+ years, respectively. In conclusion occupational ELF-EMF was not associated with an increased risk for acoustic neuroma. pubmed.ncbi.nlm.nih.gov
AI evidence extraction
Main findings
Using the INTEROCC ELF-EMF job-exposure matrix, no increased risk for acoustic neuroma was found in any exposure category. In the highest cumulative exposure category (8.52+ µT-years), OR was 1.2 (95% CI 0.8–2.0) with no significant linear trend (p=0.37), and no statistically significant risks were found in time windows 1–14 years and 15+ years.
Outcomes measured
- acoustic neuroma
Limitations
- Population characteristics and sample size not reported in the abstract.
- Exposure assessment based on a job-exposure matrix (INTEROCC) rather than individual measurements.
- Specific occupational categories and potential confounder adjustments not described in the abstract.
Suggested hubs
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occupational-exposure
(0.9) Study evaluates occupational ELF-EMF exposure and acoustic neuroma risk using a job-exposure matrix.
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who-icnirp
(0.35) Abstract references IARC/WHO carcinogen classification context for ELF-EMF.
View raw extracted JSON
{
"study_type": "case_control",
"exposure": {
"band": "ELF",
"source": "occupational",
"frequency_mhz": null,
"sar_wkg": null,
"duration": "lifetime occupations; time windows 1–14 years and 15+ years"
},
"population": null,
"sample_size": null,
"outcomes": [
"acoustic neuroma"
],
"main_findings": "Using the INTEROCC ELF-EMF job-exposure matrix, no increased risk for acoustic neuroma was found in any exposure category. In the highest cumulative exposure category (8.52+ µT-years), OR was 1.2 (95% CI 0.8–2.0) with no significant linear trend (p=0.37), and no statistically significant risks were found in time windows 1–14 years and 15+ years.",
"effect_direction": "no_effect",
"limitations": [
"Population characteristics and sample size not reported in the abstract.",
"Exposure assessment based on a job-exposure matrix (INTEROCC) rather than individual measurements.",
"Specific occupational categories and potential confounder adjustments not described in the abstract."
],
"evidence_strength": "low",
"confidence": 0.7800000000000000266453525910037569701671600341796875,
"peer_reviewed_likely": "yes",
"keywords": [
"extremely low-frequency",
"ELF-EMF",
"occupational exposure",
"job-exposure matrix",
"INTEROCC",
"acoustic neuroma",
"case-control",
"odds ratio"
],
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"reason": "Abstract references IARC/WHO carcinogen classification context for ELF-EMF."
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}
AI can be wrong. Always verify against the paper.
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