Evidence map›Paper›PMID 41432541›Full record

ArticleJournal of medical Internet research2025

Characterizing Digital Communication Device Use Among Young People From 4 European Countries: Cross-Sectional Survey Study.

Matthew L Stamets, Gemma Castaño-Vinyals, Patricia de Llobet Viladoms, Adriana Fernandes Veludo, Arno Thielens, Leanne Martin, Robin Wydaeghe, Sam Aerts, Marta Parazzini, Gabriella Tognola and 9 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

19 authors.

Matthew L StametsISGlobal, Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, Barcelona, 08003, Spain, 34 93 214 7300.ORCID http://orcid.org/0009-0000-8702-9233
Gemma Castaño-VinyalsISGlobal, Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, Barcelona, 08003, Spain, 34 93 214 7300.ORCID http://orcid.org/0000-0003-4468-1816
Patricia de Llobet ViladomsISGlobal, Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, Barcelona, 08003, Spain, 34 93 214 7300.ORCID http://orcid.org/0000-0002-3502-7057
Adriana Fernandes VeludoSwiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID http://orcid.org/0000-0003-0479-7128
Arno ThielensAdvanced Science Research Center, The Graduate Center of the City University of New York (CUNY), New York, NY, United States.ORCID http://orcid.org/0000-0002-8089-6382
Leanne MartinEuropean Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Penryn, United Kingdom.ORCID http://orcid.org/0000-0002-0394-2656
Robin WydaegheDepartment of Information Technology, Ghent University/IMEC, Ghent, Belgium.ORCID http://orcid.org/0000-0002-1374-0118
Sam AertsSmart Sensor Systems Research Group, The Hague University of Applied Sciences, Delft, The Netherlands.ORCID http://orcid.org/0000-0002-7444-4312
Marta ParazziniCNR - Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni, Milan, Italy.ORCID http://orcid.org/0000-0001-9008-7530
Gabriella TognolaCNR - Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni, Milan, Italy.ORCID http://orcid.org/0000-0002-2433-449X
Joe WiartLTCI, Telecom Paris, Institut Polytechnique de Paris, Palaiseau, France.ORCID http://orcid.org/0000-0002-8902-5778
Kinga PolanskaDepartment of Environmental and Occupational Health Hazards, Nofer Institute of Occupational Medicine, Lodz, Poland.ORCID http://orcid.org/0000-0002-3212-2307
Maja PopovicCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy.ORCID http://orcid.org/0000-0003-4500-6572
Maria-José LópezUniversitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0003-4402-2239
Milena MauleCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy.ORCID http://orcid.org/0000-0003-2142-1288
Wout JosephDepartment of Information Technology, Ghent University/IMEC, Ghent, Belgium.ORCID http://orcid.org/0000-0002-8807-0673
James GrellierEuropean Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Penryn, United Kingdom.ORCID http://orcid.org/0000-0002-7458-7479
Martin RöösliSwiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID http://orcid.org/0000-0002-7475-1531
Mònica GuxensISGlobal, Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, Barcelona, 08003, Spain, 34 93 214 7300.ORCID http://orcid.org/0000-0002-8624-0333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital communication device use is changing rapidly among young people, and current research on this topic is limited or outdated. Objective: We aimed to describe the use of digital communication devices by young people from 4 European countries and investigate their socioeconomic and demographic characteristics. Methods: In 2023, we administered an online survey to a convenience sample of 4000 young people aged 16 to 25 years in Italy, Poland, Spain, and Switzerland. Participants reported on their regular use of smartphones, tablets, laptops, cordless phones, and smartwatches or activity trackers. Participants answered which activities they regularly engaged in on their devices, the time spent on these devices and activities, and in what position the device was used with respect to their body over the previous 3 months. We also collected information on participant socioeconomic and demographic characteristics, including age, gender, country of birth, employment status, parental educational level, and urbanicity of the place of residence. Results: Reported prevalence of device use was 90.9% (3635/4000) for smartphones, 33.2% (1329/4000) for tablets, 68.7% (2748/4000) for laptops, 11.6% (462/4000) for cordless phones, and 23.3% (931/4000) for smartwatches or activity trackers. Older age groups and women reported higher use across most devices. The activities reported with the highest engagement for smartphones were voice calls (2553/3635, 70.2%); social media (2693/3635, 74.1%); and texting, emailing, and internet use (2530/3635, 69.6%). For tablets and laptops, they were video streaming (849/1329, 63.9% and 1527/2748, 55.6%, respectively); texting, emailing, and internet use (673/1329, 50.6% and 1218/2748, 44.3%, respectively); and social media (659/1329, 49.6% and 1521/2748, 55.3%, respectively). On average, participants used their smartphones 60.9 (SD 83.1) minutes per day for texting, emailing, and internet use; 85.2 (SD 92.7) minutes per day for social media; 46.9 (SD 70.5) minutes per day for video streaming; and 53.7 (SD 80.3) minutes per day for music streaming. Differences across activities and devices were found among socioeconomic and demographic characteristics. For example, the oldest age groups reported lower duration of smartphone use for voice calls, social media, video streaming, and music streaming compared to the youngest age group but reported higher duration of smartphone use for video calls and texting, emailing, and internet use. Moreover, women reported higher duration of use for most activities on smartphones compared to men, except for online gaming, for which men reported higher duration of use. Conclusions: Our findings provide novel information on digital communication device use by young people. We identified differences between socioeconomic and demographic characteristics that warrant further investigation. These results can be used as a point of reference for digital communication devices in public health research, including health communication strategies and epidemiological research.

Indexed as

TelecommunicationsAdolescentAdultComputersComputers, HandheldCross-Sectional StudiesEuropeFemaleHumansMaleSmartphoneSurveys and QuestionnairesYoung AdultadolescentEuropemobile appspopulation characteristicsprevalencesmartphonewearable electronic deviceswireless technology

Identifiers

PMID41432541
PMCPMC12724067

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.