Evidence map›Paper›PMID 36624482›Full record

ArticleBMC public health2023

Exploring the predictors of physical inactivity in a university setting.

Lawrence Bismarck Ndupu, Mark Faghy, Vicki Staples, Sigrid Lipka, Chris Bussell

Abstract read
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. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

5 authors.

Lawrence Bismarck NdupuSchool of Life Sciences, Faculty of Health and Life Sciences, Coventry University, 20 Whitefrairs Street, Coventry, CV1 2DS, UK. ae0031@coventry.ac.uk.
Mark FaghyHuman Sciences Research Centre, University of Derby, Kedleston Road, Derby, Derbyshire, DE22 1GB, UK.
Vicki StaplesHuman Sciences Research Centre, University of Derby, Kedleston Road, Derby, Derbyshire, DE22 1GB, UK.
Sigrid LipkaHuman Sciences Research Centre, University of Derby, Kedleston Road, Derby, Derbyshire, DE22 1GB, UK.
Chris BussellHuman Sciences Research Centre, University of Derby, Kedleston Road, Derby, Derbyshire, DE22 1GB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChanges in lifestyle patterns and the dependence on technology have contributed to an increase in prevalence of inactivity. To address this there is a need to identify the predictors of physical inactivity using the Theoretical Domains Framework (TDF).

methodsOne hundred and twenty-one university administrative staff and 114 PhD students completed a survey. Physical activity (PA) levels were assessed using the Global Physical Activity Questionnaire (GPAQ), with participants scoring below 600 MET-minutes/week of total PA regarded as inactive. The predictors of physical inactivity were assessed using the Determinants of Physical Activity Questionnaire (DPAQ). Multiple regression analyses were used to identify which domains of the TDF predicted physical inactivity in the study samples.

resultsThe results indicated that 64% of administrative staff (Mean = 411.3 ± 118.3 MET-minutes/week of total PA) and 62% of PhD students (Mean = 405.8 ± 111.0 MET-minutes/week of total PA) did not achieve the recommended PA levels. The physical skills domain (t

conclusionsThe results of this study should be used as a theoretical starting point in carrying out behavioural diagnosis, which could inform the design of effective interventions to increase PA levels in universities and other settings.

Indexed as

ExerciseSedentary BehaviorHumansLife StyleSurveys and QuestionnairesUniversitiesPhysical inactivityPredictorsStaffStudentsTheoretical domains frameworkUniversity

Identifiers

PMID36624482
PMCPMC9830702

What OpenQuestion holds

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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.