Uncertainty Analysis of Mobile Phone Use and Its Effect on Cognitive Function: The Application of Monte Carlo Simulation in a Cohort of Australian Primary School Children

2019 · Mixed · Low evidence

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MixedLow evidencePaper 1672

Multiple linear regression models evaluating associations between mobile phone calls and cognitive function found weak evidence of an association. Associations were reported for the Go/No Go and Groton maze learning tasks and a Stroop time ratio, but after in…

Study snapshot

Publicationmanual · 2019

Study typecohort

Reported directionMixed

Evidence ratingLow

Abstract

Uncertainty Analysis of Mobile Phone Use and Its Effect on Cognitive Function: The Application of Monte Carlo Simulation in a Cohort of Australian Primary School Children Brzozek C, Benke KK, Zeleke BM, Croft RJ, Dalecki A, Dimitriadis C, Kaufman J, Sim MR, Abramson MJ, Benke G. Uncertainty Analysis of Mobile Phone Use and Its Effect on Cognitive Function: The Application of Monte Carlo Simulation in a Cohort of Australian Primary School Children. Int J Environ Res Public Health. 2019 Jul 8;16(13). pii: E2428. doi: 10.3390/ijerph16132428. Abstract Previous epidemiological studies on health effects of radiation exposure from mobile phones have produced inconsistent results. This may be due to experimental difficulties and various sources of uncertainty, such as statistical variability, measurement errors, and model uncertainty. An analytical technique known as the Monte Carlo simulation provides an additional approach to analysis by addressing uncertainty in model inputs using error probability distributions, rather than point-source data. The aim of this investigation was to demonstrate using Monte Carlo simulation of data from the ExPOSURE (Examination of Psychological Outcomes in Students using Radiofrequency dEvices) study to quantify uncertainty in the output of the model. Data were collected twice, approximately one year apart (between 2011 and 2013) for 412 primary school participants in Australia. Monte Carlo simulation was used to estimate output uncertainty in the model due to uncertainties in the call exposure data. Multiple linear regression models evaluated associations between mobile phone calls with cognitive function and found weak evidence of an association. Similar to previous longitudinal analysis, associations were found for the Go/No Go and Groton maze learning tasks, and a Stroop time ratio. However, with the introduction of uncertainty analysis, the results were closer to the null hypothesis. Open access paper: ncbi.nlm.nih.gov

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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 directionmixed

PopulationAustralian primary school children (ExPOSURE study participants)

Sample size412

ExposureRF · Data collected twice approximately one year apart (between 2011 and 2013)

Evidence strengthLowConfidence: 74% · Peer reviewed: yes

Main findings

Outcomes measured

Cognitive function
Go/No Go task performance
Groton maze learning task performance
Stroop time ratio

Limitations

Prior epidemiological studies noted as having inconsistent results due to statistical variability, measurement errors, and model uncertainty
Uncertainty in call exposure data addressed via Monte Carlo simulation (implying exposure measurement uncertainty)

View raw extracted JSON

{
  "study_type": "cohort",
  "exposure": {
    "band": "RF",
    "source": "mobile phone",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": "Data collected twice approximately one year apart (between 2011 and 2013)"
  },
  "population": "Australian primary school children (ExPOSURE study participants)",
  "sample_size": 412,
  "outcomes": [
    "Cognitive function",
    "Go/No Go task performance",
    "Groton maze learning task performance",
    "Stroop time ratio"
  ],
  "main_findings": "Multiple linear regression models evaluating associations between mobile phone calls and cognitive function found weak evidence of an association. Associations were reported for the Go/No Go and Groton maze learning tasks and a Stroop time ratio, but after introducing uncertainty analysis via Monte Carlo simulation, results were closer to the null hypothesis.",
  "effect_direction": "mixed",
  "limitations": [
    "Prior epidemiological studies noted as having inconsistent results due to statistical variability, measurement errors, and model uncertainty",
    "Uncertainty in call exposure data addressed via Monte Carlo simulation (implying exposure measurement uncertainty)"
  ],
  "evidence_strength": "low",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "mobile phone",
    "radiofrequency",
    "Monte Carlo simulation",
    "uncertainty analysis",
    "children",
    "primary school",
    "cognitive function",
    "ExPOSURE study",
    "longitudinal",
    "multiple linear regression"
  ],
  "suggested_hubs": [
    {
      "slug": "school-wi-fi",
      "weight": 0.2,
      "reason": "Study involves primary school children, but exposure is mobile phone calls rather than Wi-Fi."
    }
  ]
}

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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: 10.3390/ijerph16132428
PubMed: Not supplied

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