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
| Autor: | Jordy Kaufman, Michael J. Abramson, Christina Dimitriadis, Rodney J. Croft, Anna Dalecki, Berihun M. Zeleke, Malcolm R Sim, Geza Benke, Christopher Brzozek, Kurt K. Benke |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Health
Toxicology and Mutagenesis Monte Carlo method lcsh:Medicine 010501 environmental sciences 01 natural sciences Article Cohort Studies 03 medical and health sciences 0302 clinical medicine Cognition Statistics Linear regression Humans 030212 general & internal medicine Child uncertainty analysis Uncertainty analysis mobile phones Monte Carlo simulation cognitive function 0105 earth and related environmental sciences Observational error Schools lcsh:R Public Health Environmental and Occupational Health Australia Uncertainty Records Cell Phone Use radiofrequency electromagnetic fields Mobile phone Go/no go Null hypothesis Monte Carlo Method Stroop effect |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 16, Iss 13, p 2428 (2019) International Journal of Environmental Research and Public Health Volume 16 Issue 13 |
| ISSN: | 1660-4601 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|