Screen time tracking across electronic devices in school-aged adolescents
A three-year longitudinal study
Bibliographic Data
| ID | 21710420 |
|---|---|
| Authors | Mileny Caroline Menezes de Freitas (0000-0002-5040-1633, Universidade Estadual de Londrina), Júlio Cesar da Costa (0000-0003-4538-6915, Universidade Estadual de Londrina), Danilo R P Silva (0000-0003-3995-4795, Universidad Autónoma de Chile), Catiana L P Romanzini (0000-0001-6677-3290, Universidade Estadual de Londrina), Marcelo Romanzini (0000-0003-1355-331X, Universidade Estadual de Londrina), Enio R V Ronque (0000-0003-3430-3993, Universidade Estadual de Londrina) |
| Year | 2026 |
| Volume | 31 |
| Issue | 5 |
| Pages | e08622024-e08622024 |
| Publication date | 2026-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ciência & Saúde Coletiva (JOURNAL) |
| Journal identifiers | ISSN: 1413-8123 • E-ISSN: 1678-4561 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/1413-81232026315.08622024 |
| PMID | 42385069 |
| OpenAlex | W7166578498 |
| SciELO | S1413-81232026000503001 |
| Language | EN |
| References cited | 14 |
The aim of this article is to verify the tracking of screen time (ST) on different electronic devices in school-aged adolescent during a three-year follow-up. This is a three-year longitudinal study involving students. The baseline data collection occurred in 2016, and the follow-up in 2019. A total of 151 adolescents of both sexes aged 14.9 (0.9) years participated. ST was analyzed by self-reported questions about time spent watching television (TV); video games (VG); smartphone; TV, smartphone, tablet (TST) and personal computer (PC). For analysis purposes, each device was ranked below and above the ST recommendation (2h/day). For both sexes, tracking was low for all screens, except for weak agreement in TV time for girls. For boys, TST and smartphone were the screens with the highest change percentages for subjects who migrated to high ST, respectively, 68.6% and 34.4% (p
Baseline (sea) · Data collection · Longitudinal study · Mobile device · Screen time · Tracking (education) · Child Development and Digital Technology · Ergonomics and Musculoskeletal Disorders · Impact of Technology on Adolescents
Sedentary Behavior Research Network (SBRN) – Terminology Consensus Project process and outcome
A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years
Stability and change in screen-based sedentary behaviours and associated factors among Norwegian children in the transition between childhood and adolescence
| Highly cited | No |
|---|