Explore the spectrum · Power-frequency fields

THE FIELDS
AROUND EVERYDAY POWER.

Power lines, wiring, appliances and motors create low-frequency fields. What do we measure—and what does the health research actually show?

Two related measurements

Electric field.
Magnetic field.

Power frequency is usually 50 or 60 cycles per second. It belongs to the extremely low-frequency (ELF) part of the spectrum. A number without a field type and unit is incomplete.

Voltage creates an electric field.

V/m

Volts per metre. The field can be present when a device is connected to power, even when it is switched off.

Current creates a magnetic field.

µT / mG

Microtesla (µT) and milligauss (mG) are two units for the same magnetic-field measurement. Fields depend on current, distance and how the source is arranged.

Diagrams are schematic, not measured field maps. NCI: electric and magnetic fields ↗

4 mG1 µT = 10 mG. Unit conversion only; this does not rate a reading as safe or unsafe.
Two questions that need different evidence

Immediate effects.
Long-term questions.

Established at sufficiently high levels

Low-frequency fields can induce electric fields inside the body and stimulate nerves and muscles. Exposure guidance addresses these established effects.

Unresolved at low, long-term levels

Childhood-leukemia studies have reported associations, but results vary. Bias, chance and other explanations remain under discussion; a causal link has not been established.

ICNIRP: low-frequency effects and protection ↗

What does “possibly carcinogenic” mean?
IARC’s 2002 evaluation placed ELF magnetic fields in Group 2B. It identifies a possible hazard based on limited evidence; it does not assign a cancer probability to your home, an appliance or a meter reading. IARC Monograph 80 ↗
Before the study numbers

“1.44” does not mean 44% of children.

An odds ratio compares two groups. A value of 1 means the estimated odds were the same. A value above 1 means higher estimated odds in the exposed group.

It does not tell you how many children developed the disease. To understand that, you also need to know how common the disease was.

The studies below use different exposure categories. Their numbers should not be read as a time trend.

A guide to reading a ratio, not a measured risk or a safety boundary. Cochrane: comparing odds and risks ↗
A changing evidence picture

Why do these
studies disagree?

Look at the estimate and the range beside it. That range is the 95% confidence interval: a way of showing statistical uncertainty. It does not account for every possible problem in the study.

2010

Higher estimated odds, with a wide range.

Seven studies pooled by Kheifets and colleagues compared residential exposures ≥0.3 µT with <0.1 µT.

1.44Odds ratio
95% CI 0.88–2.36

The estimate was elevated, but the interval includes 1. The result was not statistically significant.

Read the pooled analysis ↗
2022

Newer pooled data found no increase.

Amoon and colleagues combined four studies: 24,994 cases and 30,769 controls.

1.01Odds ratio

For ≥0.4 µT versus <0.1 µT, the estimate was close to 1. The authors considered methodological differences and chance among possible explanations for the change from older findings.

Read the newer analysis ↗
2023

A broader review still found an association.

Brabant and colleagues reviewed 38 studies. Twelve contributed to the measured-field comparison shown here. Published online in 2022; print edition 2023.

1.37Odds ratio
95% CI 1.05–1.80

For >0.4 µT, the interval was above 1. This was a statistically significant association in observational data, not proof that the fields caused leukemia.

Read the systematic review ↗

These analyses overlap in their underlying research and use different inclusion rules and exposure categories. They are not three independent experiments or a trend line. Study categories such as 0.3 or 0.4 µT are not proven safety boundaries.

A concrete research gap · 2024 transformer study

Five countries.
Still very few exposed cases.

3

Highly exposed leukemia cases.

Researchers used records to group apartments by their position relative to an electrical transformer, then compared cancer cases. Even across five countries, the highest category contained only three cases.

What it found

Evidence for an elevated risk was weak: RR 1.1, with a 95% interval from 0.3 to 3.8 in one model.

Why that is not the final answer

The wide interval permits very different interpretations. Location stood in for a direct exposure measurement, and different analyses gave different estimates.

Crespi et al., 2024 ↗ · Add this source to a response →

Vehicle measurements

A field measurement
is one part of the story.

A 2015 controlled comparison of 10 vehicle models. Mean magnetic fields averaged across seats and driving conditions.
Vehicle groupMeasured mean
Diesel · 3 models0.02 µT
Gasoline · 4 models0.04–0.05 µT
Hybrid · 3 models0.06–0.09 µT
Useful data

Fields differed by vehicle, seat and driving condition. Hybrid averages were higher in this sample.

Limits of the comparison

No health outcomes were measured. Frequencies below 30 Hz were excluded, and these older models do not represent every vehicle today.

Hareuveny et al., 2015 ↗

A short vehicle measurement and a long-term residential average describe different exposure histories. Do not turn childhood-leukemia categories into a risk threshold for a car journey.
Make a measurement useful

Write down more
than the reading.

01Field + frequency

Electric or magnetic? Which frequency range does the instrument measure?

02Place + conditions

Distance, position, appliance or vehicle mode, and other sources nearby.

03Time + statistic

A momentary peak, an average over minutes or a longer personal record?

04Method + limits

Instrument, units, calibration and what the measurement cannot resolve.

These are prompts for documenting evidence, not a diagnostic protocol. They help distinguish what was measured from what is being inferred.