Evidence map›Paper›PMID 37608246›Full record

ArticleBMC public health2023

Use of electronic devices in leisure time modifies the prevalence and factors associated with sedentary behavior derived exclusively from excessive television viewing among Brazilian adults.

Cecília Bertuol, Murilo Henrique Corrêa da Silveira, Rodrigo de Rosso Krug, Juliedy Waldow Kupske, Grégore Iven Mielke, Giovani Firpo Del Duca

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. StandUPTV: a full-factorial optimization trial to reduce sedentary screen time among adults.The international journal of behavioral nutrition and physical activity · 2025
    Trial
  2. Mobile Internet Use and Obesity Among Chinese Adults.Journal of prevention (2022) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Cecília BertuolGraduate Program in Physical Education, Federal University of Santa Catarina, Campus Universitário Reitor João David Ferreira Lima, Florianópolis, SC, 88040-900, Brazil. bertuolcecilia@gmail.com.
Murilo Henrique Corrêa da SilveiraGraduate Program in Physical Education, Federal University of Santa Catarina, Campus Universitário Reitor João David Ferreira Lima, Florianópolis, SC, 88040-900, Brazil.
Rodrigo de Rosso KrugGraduate Program in Integrative Health Care, University of Cruz Alta, Cruz Alta, RS, 98020-290, Brazil.
Juliedy Waldow KupskeGraduate Program in Human Movement Science, Federal University of Rio Grande do Sul, Rua Felizardo 750, Porto Alegre, RS, 90690-200, Brazil.
Grégore Iven MielkeSchool of Public Health, The University of Queensland, Brisbane, QLD, 4006, Australia.
Giovani Firpo Del DucaGraduate Program in Physical Education, Federal University of Santa Catarina, Campus Universitário Reitor João David Ferreira Lima, Florianópolis, SC, 88040-900, Brazil.
Universidade Federal de Santa Catarina · BRUniversidade Federal do Rio Grande do Sul · BRUniversity of Cruz Alta · BRUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing interest in the study of sedentary behavior is justified by its increasing presence in people's daily lives, particularly in leisure time. The aim of this study was to compare the prevalence and factors associated with sedentary behavior derived exclusively from TV time and from its combination with the time spent using other electronic devices among Brazilian adults (n = 52,443). This cross-sectional study used data from the Vigitel survey (2019), which included subjects ≥ 18 years old who resided in the capitals of the 26 Brazilian states and Federal District. High TV time (≥ 4 h/day), and its combination with computer, tablet, or cell phone use (≥ 4 h/day), as well as sociodemographic, behavioral, and health characteristics were self-reported. Adjusted logistic regression was used to estimate odds ratios and 95% confidence intervals (95%CI). The prevalence of high sedentary behavior almost tripled when TV viewing was added to the time spent using other electronic devices (from 12.2%; 95%CI: 11.6; 12.8, to 34.7%; 95%CI: 33.8; 35.6), notably among the youngest (32.0 percentage points). Individuals living without a partner, who smoked, consumed alcohol and processed foods excessively, were physically inactive, and had hypertension were more likely to have both outcomes than their counterparts. Older and less educated individuals were more likely to spend excessive time watching TV and less likely to have high use of other electronic devices in addition to TV viewing than their peers. Including computer, tablet, or cell phone led to an increase in the prevalence of high sedentary behavior. The magnitude and direction of the associations of age and education with high sedentary behavior varied according to the method how high sedentary behavior was defined. Projects, programs, and policies must consider the different indicators of sedentary behavior in monitoring and promoting a healthier lifestyle.

Indexed as

RecreationSedentary BehaviorAdolescentAdultBrazilCross-Sectional StudiesElectronicsHumansPrevalenceTelevisionCell phonesComputersCross-sectional studiesHand-held devicesLeisure activitiesTelevision

Identifiers

PMID37608246
PMCPMC10463304
OpenAlexW4386084574

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.