Evidence map›Paper›PMID 36554270›Full record

ArticleInternational journal of environmental research and public health2022

Association between Different Domains of Sedentary Behavior and Health-Related Quality of Life in Adults: A Longitudinal Study.

Catarina Covolo Scarabottolo, William Rodrigues Tebar, Paulo Henrique Araújo Guerra, Clarice Maria de Lucena Martins, Gerson Ferrari, Victor Spiandor Beretta, Diego Giulliano Destro Christofaro

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
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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

7 authors.

Catarina Covolo ScarabottoloGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Presidente Prudente 19060-900, Brazil.
William Rodrigues TebarCenter of Clinical and Epidemiological Research, University Hospital, University of Sao Paulo, São Paulo 05403-000, Brazil.ORCID 0000-0002-6192-4667
Paulo Henrique Araújo GuerraDepartment of Medicine, Federal University of Fronteira Sul, Chapecó 89802-112, Brazil.ORCID 0000-0003-4239-0716
Clarice Maria de Lucena MartinsDepartment of Physical Education, Federal University of Paraiba, João Pessoa 58051-900, Brazil.ORCID 0000-0002-4947-9329
Gerson FerrariFaculty of Health Sciences, Universidad Autónoma de Chile, Providencia 7500912, Chile.
Victor Spiandor BerettaGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Presidente Prudente 19060-900, Brazil.ORCID 0000-0002-4640-7733
Diego Giulliano Destro ChristofaroGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Presidente Prudente 19060-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extended periods of time on screen devices and sitting are the main activities that characterize sedentary behavior (SB), which negatively impacts the quality of life. This negative influence was demonstrated mainly by cross-sectional studies performed in high-income countries in which the effects of screen time on health-related quality of life (HRQoL) is not considered. Thus, we analyzed the association between the different domains of SB (i.e., subdomains of screen time-television, computer, cellphone) and the HRQoL in adults that live in Brazil during two years of follow-up. The sample included 331 adults. Subdomains of screen time (i.e., watching television, using computers, and cellphones) and of HRQoL (i.e., physical functioning, role-physical, bodily pain, general health, vitality, social functioning, role-emotional, mental health, and current health perception) were assessed by a structured questionnaire and SF-36, respectively. Our results indicate a significant increase in screen time during the two years of follow-up. Linear regression models indicated that although domains of SB were differently associated with HRQoL, in general, screen time was negatively associated with social functioning and positively associated with physical functioning during locomotion and activities of daily living (ADL), role-physical (i.e., physical issues during work and ADLs), and role-emotional (i.e., emotional issues during work and ADLs) after the two-year follow-up. In conclusion, screen time may positively or negatively influence some domains of HRQoL in adults.

Indexed as

Activities of Daily LivingQuality of LifeAdultCross-Sectional StudiesHumansLongitudinal StudiesSedentary Behavioremotiongeneral healthmental healthphysical functioningscreen time

Identifiers

PMID36554270
PMCPMC9778904

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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.