Evidence map›Paper›PMID 31975312›Full record

SynthesisPrevention science : the official journal of the Society for Prevention Research2020

How Sedentary Are University Students? A Systematic Review and Meta-Analysis.

Oscar Castro, Jason Bennie, Ineke Vergeer, Grégoire Bosselut, Stuart J H Biddle

2 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Prevention science : the official journal of the Society for Prevention Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 157 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 5 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.

NCT05019482 nacompletednot on this mapstarted 2021, after this paper: background citation

Effects of an Intervention Among University Student to Promote Physical Activity and Reduce the Sedentary Time During COVID-19 Pandemic

TypeinterventionalSponsorUniversity of NimesRan2021 to 2021Enrolled110ConditionsPhysical Activity, Sedentary Behavior, Young Adults, StudentArmsUniversity-based intervention to promote PA and reduce ST
NCT05834842 naunknown statusnot on this mapstarted 2024, after this paper: background citation

An Internet-based Self-help Intervention for the Reduction of Consumption of Ultra-processed Products and Increase of Physical Activity in Mexican University Population: Study Protocol for a Randomized Controlled Trial

TypeinterventionalSponsorUniversity of GuadalajaraRan2024 to 2025Enrolled176ConditionsPhysical Inactivity, Ultra Processed Food, Stress, AnxietyArmsUnisalud
3 · Its place in the literature

Who cites it

157 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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97 more citing papers are in PubMed but not listed here.

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

5 authors.

Oscar CastroPhysically Active Lifestyles Research Group (USQ-PALs), Institute for Resilient Regions, University of Southern Queensland, Springfield Central, Queensland, Australia. Oscar.CastroSerrano@usq.edu.au.ORCID 0000-0001-5332-3557
Jason BenniePhysically Active Lifestyles Research Group (USQ-PALs), Institute for Resilient Regions, University of Southern Queensland, Springfield Central, Queensland, Australia.
Ineke VergeerPhysically Active Lifestyles Research Group (USQ-PALs), Institute for Resilient Regions, University of Southern Queensland, Springfield Central, Queensland, Australia.
Grégoire BosselutLaboratory Epsylon "Dynamics of Human Abilities and Health Behavior" (EA 4556), University of Montpellier, Montpellier, Hérault, France.
Stuart J H BiddlePhysically Active Lifestyles Research Group (USQ-PALs), Institute for Resilient Regions, University of Southern Queensland, Springfield Central, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating high volumes of sedentary behaviour is a risk factor for multiple negative health-related outcomes. The objective of this review was to synthesise the evidence on the levels of sedentary behaviour in university students. Screened records from 13 databases were included if (i) published after 2007 and (ii) reported on university students' amount of total or domain-specific sedentary behaviour. Sub-group and meta-regression analyses were conducted to investigate potential sources of heterogeneity (moderators). A total of 125 studies met the inclusion criteria. Most studies were cross-sectional (84%) and reported screen time (61%) or total sedentary time (39%). Self-reported data indicated that university students spend 7.29 h per day being sedentary. The levels of total sedentary behaviour were significantly higher when measured with accelerometers (M = 9.82 h per day). Computer use presented significantly higher prevalence over other modalities of screen time. Among the explored factors (i.e. countries' income, age, gender, and study's publication date), only publication date significantly moderated sedentary behaviour. Results suggest that a considerable proportion of university students (i) engage in higher levels of sedentary time compared to the general young adult population and (ii) accumulate levels of sedentary time that have been associated with an increased risk for detrimental health outcomes. In addition, meta-regression analyses suggest that sedentary time has increased over the last 10-year period among university students. These findings may inform future initiatives and policies targeting university students' sedentary behaviour. Further research is needed to identify the factors moderating sedentary behaviour in the university setting.

Indexed as

Sedentary BehaviorStudentsCross-Sectional StudiesFemaleHumansMaleUniversitiesYoung AdultCollege studentsCorrelatesSedentary timeSitting

Identifiers

PMID31975312

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.