Evidence map›Paper›PMID 31280302›Full record

ArticleInternational journal of epidemiology2019

Residential distance from high-voltage overhead power lines and risk of Alzheimer's dementia and Parkinson's disease: a population-based case-control study in a metropolitan area of Northern Italy.

Federico Gervasi, Rossella Murtas, Adriano Decarli, Antonio Giampiero Russo

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Federico GervasiEpidemiology Unit, Agency for Health Protection of Milan, 20122 Milan, Italy.
Rossella MurtasEpidemiology Unit, Agency for Health Protection of Milan, 20122 Milan, Italy.
Adriano DecarliEpidemiology Unit, Agency for Health Protection of Milan, 20122 Milan, Italy.
Antonio Giampiero RussoEpidemiology Unit, Agency for Health Protection of Milan, 20122 Milan, Italy.
University of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between the extremely low-frequency magnetic field generated by overhead power lines and neurodegenerative disease is still a matter of debate.

methodsA population-based case-control study was carried out on the residents in the Milan metropolitan area between 2011 and 2016 to evaluate the possible association between exposure to extremely low-frequency magnetic fields generated by high-voltage overhead power lines and Alzheimer's dementia and Parkinson's disease. A statistical analysis was performed on cases and controls matched by sex, year of birth and municipality of residence (with a case to controls ratio of 1 : 4) using conditional logistic regression models adjusted for socio-economic deprivation and distance from the major road network as potential confounders.

resultsOdds ratios for residents <50 m from the source of exposure compared with residents at ≥600 m turned out to be 1.11 (95% confidence interval: 0.95-1.30) for Alzheimer's dementia and 1.09 (95% confidence interval: 0.92-1.30) for Parkinson's disease.

conclusionsThe finding of a weak association between exposure to the extremely low-frequency magnetic field and neurodegenerative diseases suggests the continuation of research on this topic. Moreover, the low consistency between the results of the already existing studies emphasises the importance of increasingly refined study designs.

Indexed as

Residence CharacteristicsAgedAged, 80 and overAlzheimer DiseaseCase-Control StudiesElectromagnetic FieldsFemaleHumansItalyLogistic ModelsMaleParkinson DiseaseRisk FactorsTime FactorsAlzheimer dementia (epidemiology)case-control studieselectric power supplies (adverse effects)electromagnetic fields (adverse effects)ELF-MFlogistic modelsParkinson disease (epidemiology)residence characteristics

Identifiers

PMID31280302
PMCPMC6929536
OpenAlexW2955202532

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.