Wireless sensitivity and co-morbidities: A prevalence study in Australia, Canada, and the United States

Next Research · 2026 · Harm · Low evidence

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HarmLow evidencePaper 6813

In nationally representative adult surveys from the US, Australia, and Canada, 12.6% reported wireless sensitivity, 10.0% reported medically diagnosed EHS, and 14.0% reported either or both. Among respondents with wireless sensitivity/EHS, high proportions al…

Study snapshot

PublicationNext Research · 2026
Study typecross_sectional
Reported directionHarm
Evidence ratingLow

Abstract

Wireless radiation—such as from cell phones, Wi-Fi, smart meters, laptops, and cell towers—is pervasive in society. Wireless sensitivity is the condition of adverse health effects from exposure to wireless radiation. This study investigates the prevalence of wireless sensitivity, and the medical diagnosis of electromagnetic hypersensitivity (EHS), in the general population of three countries: the United States (US), Australia (AU), and Canada (CA). It also investigates the prevalence of wireless sensitivity/EHS with co-morbid conditions: chemical sensitivity/multiple chemical sensitivities (MCS), asthma/asthma-related conditions (ARCs), autism/autism spectrum disorders (ASDs), and fragrance sensitivity. Nationally representative population-based data were collected in February 2022 (US, AU) and May 2022 (CA) through online surveys of adults [n=3,475 (1,271; 1,104; 1,100) US, AU, CA, respectively]. The study found that, across the general population, 12.6% reported wireless sensitivity (12.8%, 17.4%, 7.5%), 10.0% reported medically diagnosed electromagnetic hypersensitivity (EHS) (10.1%, 14.9%, 5.0%), and 14.0% reported either or both (14.3%, 18.9%, 8.7%). Among all gender and age categories, males ages 25 to 34 reported the highest prevalence proportionally. In addition, among those with wireless sensitivity/EHS, 80.6% also reported chemical sensitivity/MCS, 73.2% reported asthma/ARCs, 53.8% reported autism/ASDs, and 84.8% reported fragrance sensitivity. Given these results, across the three countries, over 26 million adults would experience health problems from wireless radiation. Results underscore the need for further research on ways to prevent and reduce exposures and associated adverse effects.

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 typecross_sectional
Effect directionharm
PopulationNationally representative online survey of adults in the United States, Australia, and Canada
Sample size3475
ExposureRF
Evidence strengthLowConfidence: 95% · Peer reviewed: yes

Main findings

In nationally representative adult surveys from the US, Australia, and Canada, 12.6% reported wireless sensitivity, 10.0% reported medically diagnosed EHS, and 14.0% reported either or both. Among respondents with wireless sensitivity/EHS, high proportions also reported co-morbid chemical sensitivity/MCS (80.6%), asthma/ARCs (73.2%), autism/ASDs (53.8%), and fragrance sensitivity (84.8%).

Outcomes measured

  • Self-reported wireless sensitivity prevalence
  • Medically diagnosed electromagnetic hypersensitivity (EHS) prevalence
  • Prevalence of either wireless sensitivity or EHS
  • Co-morbid chemical sensitivity/multiple chemical sensitivities (MCS)
  • Co-morbid asthma/asthma-related conditions (ARCs)
  • Co-morbid autism/autism spectrum disorders (ASDs)
  • Co-morbid fragrance sensitivity
  • Prevalence by gender and age categories

Limitations

  • Cross-sectional survey design
  • Outcomes were self-reported in an online survey
  • Exposure was broadly defined as wireless radiation from multiple sources without quantitative exposure assessment
  • Abstract does not describe clinical verification beyond reported medical diagnosis of EHS
View raw extracted JSON
{
  "study_type": "cross_sectional",
  "exposure": {
    "band": "RF",
    "source": "cell phones, Wi-Fi, smart meters, laptops, cell towers",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": "Nationally representative online survey of adults in the United States, Australia, and Canada",
  "sample_size": 3475,
  "outcomes": [
    "Self-reported wireless sensitivity prevalence",
    "Medically diagnosed electromagnetic hypersensitivity (EHS) prevalence",
    "Prevalence of either wireless sensitivity or EHS",
    "Co-morbid chemical sensitivity/multiple chemical sensitivities (MCS)",
    "Co-morbid asthma/asthma-related conditions (ARCs)",
    "Co-morbid autism/autism spectrum disorders (ASDs)",
    "Co-morbid fragrance sensitivity",
    "Prevalence by gender and age categories"
  ],
  "main_findings": "In nationally representative adult surveys from the US, Australia, and Canada, 12.6% reported wireless sensitivity, 10.0% reported medically diagnosed EHS, and 14.0% reported either or both. Among respondents with wireless sensitivity/EHS, high proportions also reported co-morbid chemical sensitivity/MCS (80.6%), asthma/ARCs (73.2%), autism/ASDs (53.8%), and fragrance sensitivity (84.8%).",
  "effect_direction": "harm",
  "limitations": [
    "Cross-sectional survey design",
    "Outcomes were self-reported in an online survey",
    "Exposure was broadly defined as wireless radiation from multiple sources without quantitative exposure assessment",
    "Abstract does not describe clinical verification beyond reported medical diagnosis of EHS"
  ],
  "evidence_strength": "low",
  "confidence": 0.95,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "wireless sensitivity",
    "electromagnetic hypersensitivity",
    "EHS",
    "RF exposure",
    "cell phones",
    "Wi-Fi",
    "smart meters",
    "cell towers",
    "prevalence",
    "cross-sectional survey",
    "co-morbidity",
    "MCS"
  ],
  "suggested_hubs": [
    {
      "slug": "smart-meters",
      "weight": 0.64,
      "reason": "Smart meters are explicitly listed among wireless radiation sources discussed in the study."
    }
  ]
}
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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: 10.1016/j.nexres.2026.101577
PubMed: Not supplied

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