Estimating exposure to extremely low frequency magnetic fields near high-voltage power lines and assessment of possible increased cancer risk among Slovenian children and adolescents

2023 · No effect · Low evidence

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No effectLow evidencePaper 603

Nationwide calculations estimated that 0.5% of Slovenian children/adolescents (<19 years) lived near high-voltage power lines in areas with ELF magnetic field density >0.1 µT. Cancer risk among children/adolescents living in areas with higher ELF magnetic fie…

Study snapshot

Publicationmanual · 2023
Study typecohort
Reported directionNo effect
Evidence ratingLow

Abstract

Estimating exposure to extremely low frequency magnetic fields near high-voltage power lines and assessment of possible increased cancer risk among Slovenian children and adolescents Zagar T, Valic B, Kotnik T, Korat S, Tomsic S, Zadnik V, Gajsek P. Estimating exposure to extremely low frequency magnetic fields near high-voltage power lines and assessment of possible increased cancer risk among Slovenian children and adolescents. Radiol Oncol. 2023 Jan 8. doi: 10.2478/raon-2023-0002. Abstract Background: Some previous research showed that average daily exposure to extremely low frequency (ELF) magnetic fields (MF) of more than 0.3 or 0.4 μT could potentially increase risk of childhood leukaemia. Materials and methods: To allow calculations of ELF MF around high voltage (HV) power lines (PL) for the whole Slovenia, a new three-dimensional method including precision terrain elevation data was developed to calculate the long-term average ELF MF. Data on population of Slovenian children and adolescents and on cancer patients with leukaemia's aged 0-19 years, brain tumours at age 0-29, and cancer in general at age 0-14 for a 12-year period 2005-2016 was obtained from the Slovenian Cancer Registry. Results: According to the large-scale calculation for the whole country, only 0.5% of children and adolescents under the age of 19 in Slovenia lived in an area near HV PL with ELF MF density greater than 0.1 μT. The risk of cancer for children and adolescents living in areas with higher ELF MF was not significantly different from the risk of their peers. Conclusions: The new method enables relatively fast calculation of the value of low-frequency magnetic fields for arbitrary loads of the power distribution network, as the value of each source for arbitrary load is calculated by scaling the value for nominal load, which also enables significantly faster adjustment of calculated estimates in the power distribution network. Open access paper: sciendo.com

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typecohort
Effect directionno_effect
PopulationSlovenian children and adolescents (primarily ages 0–19; some outcomes include brain tumours ages 0–29 and cancer in general ages 0–14)
Sample sizeNot supplied
ExposureELF · long-term average (daily) exposure; cancer registry period 2005–2016
Evidence strengthLowConfidence: 74% · Peer reviewed: yes

Main findings

Nationwide calculations estimated that 0.5% of Slovenian children/adolescents (<19 years) lived near high-voltage power lines in areas with ELF magnetic field density >0.1 µT. Cancer risk among children/adolescents living in areas with higher ELF magnetic fields was not significantly different from the risk of their peers.

Outcomes measured

  • Childhood/adolescent leukaemia (ages 0–19)
  • Brain tumours (ages 0–29)
  • Cancer in general (ages 0–14)

Limitations

  • Exposure estimates were based on calculated ELF magnetic fields around high-voltage power lines (not direct personal measurements).
  • Only a small proportion of children/adolescents were estimated to live in areas with ELF magnetic field density >0.1 µT (0.5%), which may limit power for detecting differences.
  • Specific statistical methods, confounder adjustment, and effect estimates are not described in the abstract.
View raw extracted JSON
{
  "study_type": "cohort",
  "exposure": {
    "band": "ELF",
    "source": "high-voltage power lines",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": "long-term average (daily) exposure; cancer registry period 2005–2016"
  },
  "population": "Slovenian children and adolescents (primarily ages 0–19; some outcomes include brain tumours ages 0–29 and cancer in general ages 0–14)",
  "sample_size": null,
  "outcomes": [
    "Childhood/adolescent leukaemia (ages 0–19)",
    "Brain tumours (ages 0–29)",
    "Cancer in general (ages 0–14)"
  ],
  "main_findings": "Nationwide calculations estimated that 0.5% of Slovenian children/adolescents (<19 years) lived near high-voltage power lines in areas with ELF magnetic field density >0.1 µT. Cancer risk among children/adolescents living in areas with higher ELF magnetic fields was not significantly different from the risk of their peers.",
  "effect_direction": "no_effect",
  "limitations": [
    "Exposure estimates were based on calculated ELF magnetic fields around high-voltage power lines (not direct personal measurements).",
    "Only a small proportion of children/adolescents were estimated to live in areas with ELF magnetic field density >0.1 µT (0.5%), which may limit power for detecting differences.",
    "Specific statistical methods, confounder adjustment, and effect estimates are not described in the abstract."
  ],
  "evidence_strength": "low",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "extremely low frequency",
    "ELF",
    "magnetic fields",
    "high-voltage power lines",
    "exposure estimation",
    "terrain elevation data",
    "Slovenia",
    "children",
    "adolescents",
    "cancer risk",
    "leukaemia",
    "brain tumours",
    "cancer registry"
  ],
  "suggested_hubs": [
    {
      "slug": "occupational-exposure",
      "weight": 0,
      "reason": null
    }
  ]
}
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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.2478/raon-2023-0002
PubMed: Not supplied

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