Evidence map›Paper›PMID 32276731›Full record

ArticleEnvironment international2020

Long-term effect of mobile phone use on sleep quality: Results from the cohort study of mobile phone use and health (COSMOS).

Giorgio Tettamanti, Anssi Auvinen, Torbjörn Åkerstedt, Katja Kojo, Anders Ahlbom, Sirpa Heinävaara, Paul Elliott, Joachim Schüz, Isabelle Deltour, Hans Kromhout and 7 more

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
12.7field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. The Influence of Mobile Technologies on the Quality of Sleep.Journal of biomedical physics & engineering · 2025
    Article
  7. Article
  8. Review
  9. Use of Mobile Phones and Radiofrequency-Emitting Devices in the COSMOS-France Cohort.International journal of environmental research and public health · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Mobile Health (m-Health) in Retrospect: The Known Unknowns.International journal of environmental research and public health · 2022
    Article
  16. Article
  17. Article
  18. Electromagnetic hypersensitivity: a critical review of explanatory hypotheses.Environmental health : a global access science source · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 9 institutions in 6 countries.

Giorgio TettamantiUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Anssi AuvinenSTUK - Radiation and Nuclear Safety Authority, Environmental Radiation Surveillance and Emergency Preparedness, Helsinki, Finland; Tampere University, Faculty of Social Sciences/Health Sciences, Tampere, Finland.
Torbjörn ÅkerstedtDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Stress Research, Stockholm University, Stockholm, Sweden.
Katja KojoSTUK - Radiation and Nuclear Safety Authority, Environmental Radiation Surveillance and Emergency Preparedness, Helsinki, Finland.
Anders AhlbomUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Sirpa HeinävaaraSTUK - Radiation and Nuclear Safety Authority, Environmental Radiation Surveillance and Emergency Preparedness, Helsinki, Finland; Finnish Cancer Registry, Helsinki, Finland.
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Medical Research Council (MRC) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; National Institute for Health Research (NIHR) Health Protection Research Unit on Health Impact of Environmental Hazards, Imperial College London, London, UK; NIHR Imperial Biomedical Research Centre, Imperial College London, London, UK.
Joachim SchüzInternational Agency for Research on Cancer, Environment and Radiation Section, Lyon, France.
Isabelle DeltourInternational Agency for Research on Cancer, Environment and Radiation Section, Lyon, France.
Hans KromhoutUniversity of Utrecht, Institute for Risk Assessment Sciences, Utrecht, the Netherlands.
Mireille B ToledanoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Medical Research Council (MRC) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; National Institute for Health Research (NIHR) Health Protection Research Unit on Health Impact of Environmental Hazards, Imperial College London, London, UK.
Aslak Harbo PoulsenDanish Cancer Society Research Center, Copenhagen, Denmark.
Christoffer JohansenDanish Cancer Society Research Center, Copenhagen, Denmark; CASTLE Cancer Late Effect Research Oncology Clinic, Center for Surgery and Cancer, Rigshospitalet, Copenhagen, Denmark.
Roel VermeulenUniversity of Utrecht, Institute for Risk Assessment Sciences, Utrecht, the Netherlands.
Maria FeychtingUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. Electronic address: maria.feychting@ki.se.
Lena HillertCentre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden; Unit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
COSMOS Study Group
Karolinska Institutet · SECentre International de Recherche sur le Cancer · FRNational Institute for Health Research · GBRadiation and Nuclear Safety Authority · FIUtrecht University · NLDanish Cancer Society · DKFinnish Cancer Registry · FIRigshospitalet · DKStockholm County Council · SE

Funding

Medical Research Council MR/L01341X/1Medical Research Council MR/L01632X/1Medical Research Council MR/S019669/1World Health Organization 001
6 · The paper itself

Abstract

backgroundEffects of radiofrequency electromagnetic field exposure (RF-EMF) from mobile phone use on sleep quality has mainly been investigated in cross-sectional studies. The few previous prospective cohort studies found no or inconsistent associations, but had limited statistical power and short follow-up. In this large prospective cohort study, our aim was to estimate the effect of RF-EMF from mobile phone use on different sleep outcomes. MATERIALS AND

methodsThe study included Swedish (n = 21,049) and Finnish (n = 3120) participants enrolled in the Cohort Study of Mobile Phone Use and Health (COSMOS) with information about operator-recorded mobile phone use at baseline and sleep outcomes both at baseline and at the 4-year follow-up. Sleep disturbance, sleep adequacy, daytime somnolence, sleep latency, and insomnia were assessed using the Medical Outcome Study (MOS) sleep questionnaire.

resultsOperator-recorded mobile phone use at baseline was not associated with most of the sleep outcomes. For insomnia, an odds ratio (OR) of 1.24, 95% CI 1.03-1.51 was observed in the highest decile of mobile phone call-time (>258 min/week). With weights assigned to call-time to account for the lower RF-EMF exposure from Universal Mobile Telecommunications Service (UMTS, 3G) than from Global System for Mobile Communications (GSM, 2G) the OR was 1.09 (95% CI 0.89-1.33) in the highest call-time decile.

conclusionInsomnia was slightly more common among mobile phone users in the highest call-time category, but adjustment for the considerably lower RF-EMF exposure from the UMTS than the GSM network suggests that this association is likely due to other factors associated with mobile phone use than RF-EMF. No association was observed for other sleep outcomes. In conclusion, findings from this study do not support the hypothesis that RF-EMF from mobile phone use has long-term effects on sleep quality.

Indexed as

Cell PhoneCell Phone UseCohort StudiesCross-Sectional StudiesElectromagnetic FieldsEnvironmental ExposureFinlandHumansProspective StudiesRadio WavesSleepSwedenCell phoneCohort studyElectromagnetic fieldsInsomniaSleep disturbance

Identifiers

PMID32276731
PMCPMC7272128
OpenAlexW3016110539

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.