Evidence map›Paper›PMID 42721213›Full record

Observational studyPloS one2026

Teleworking as the main risk factor for sedentary behavior: the COVISTRESS international study.

Hijrah Nasir, Martine Duclos, Bruno Pereira, David Thivel, Jiao Jiao, Binh Quach, Reza Bagheri, Marek Zak, Ukadike Chris Ugbolue, Julien S Baker and 6 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04538586 (Influence of the COVId-19 Pandemic on STRESS, and Screening Procedures), which is not on this map. Not yet cited in PubMed.

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

NCT04538586 unknown statusnot on this map

Influence of the COVId-19 Pandemic on STRESS, and Screening Procedures

TypeobservationalSponsorUniversity Hospital, Clermont-FerrandRan2020 to 2025Enrolled1,000ConditionsCOVID-19 Screening
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Hijrah NasirUniversité Clermont Auvergne, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), CNRS LaPSCo, CHU Clermont-Ferrand, Clermont-Ferrand, France.ORCID https://orcid.org/0000-0003-1017-0516
Martine DuclosUniversité Clermont Auvergne, INRAE, UNH, CHU Clermont-Ferrand, Sport Medicine and Functional Exploration, Clermont-Ferrand, France.
Bruno PereiraCHU Clermont-Ferrand, Biostatistics, Clinical Research Direction, Clermont-Ferrand, France.ORCID https://orcid.org/0000-0003-3778-7161
David ThivelUniversité Clermont Auvergne, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), Clermont-Ferrand, France.
Jiao JiaoHong Kong Baptist University, Sport and Physical Education, Hong KongChina.
Binh QuachHong Kong Baptist University, Sport and Physical Education, Hong KongChina.
Reza BagheriUniversity of Isfahan, Exercise Physiology, Isfahan, Iran.
Marek ZakThe Jan Kochanowski University, Faculty of Medicine and Health Sciences, Institute of Physiotherapy, Kielce, Poland.ORCID https://orcid.org/0000-0003-0881-9232
Ukadike Chris UgbolueUniversity of the West of Scotland, School of Health and Life Sciences, Institute for Clinical Exercise & Health Science, South Lanarkshire, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-6640-4126
Julien S BakerHong Kong Baptist University, Centre for Health and Exercise Science Research, Hong Kong, China.
Alistair ColeUniversité Lumière - Lyon 2, SciencePo Lyon, Lyon, France.ORCID https://orcid.org/0000-0002-9222-0523
Martial MermillodUniversité Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France.
Morteza CharkhabiHSE University, Moscow, Russia.
COVISTRESS network
Maëlys ClinchampsUniversité Clermont Auvergne, CNRS, LaPSCo, Physiological and Psychosocial Stress, CHU Clermont-Ferrand, Occupational and Environmental Medicine, Clermont-Ferrand, France.
Frederic DutheilUniversité Clermont Auvergne, CNRS, LaPSCo, Physiological and Psychosocial Stress, CHU Clermont-Ferrand, Occupational and Environmental Medicine, Clermont-Ferrand, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIf teleworking is already associated with prolonged sedentary behavior, the literature lacks an integrating model with all putative influencing variables, as well as a sufficient number of participants to explore extreme sitting behavior. Therefore, we aimed to investigate the influence of teleworking on sitting time, considering main sociodemographic, occupational and lifestyle factors.

methodsThe COVISTRESS study is an international observational study, using self-reported questionnaires (REDCap® software). We used linear and logistic multivariate model to assess the impact of telework on sitting time concomitantly with other sociodemographic, occupational, and lifestyle variables.

results6,653 respondents were included. The mean sitting time was 5.6 ± 3.4h/day, with 15.2% of respondents sitting for >8-14h/day and 1.6% sitting >14 hours/day. Workers who teleworked 0%, 1-25%, 26-50%, 51-75%, 76-99%, and 100% respectively sat on average 4.9 ± 3.2h/day, 5.8 ± 3.2h/day, 6.4 ± 3.1h/day, 6.5 ± 3.8h/day, 7.6 ± 3.5h/day, and 9.1 ± 4.3h/day, and the prevalence of workers sitting >14h/day increased from 1.5%, 1.9%, 0.4%, 3.2%, 5.4% to 10.7%. Compared with workers who did not telework, the risk of sitting 8-14 h/day was multiplied by 1.9 (1.2 to 3.0) for people working 1-25% in telework, by 4.7 (2.2 to 9.7) for people working 26-50% in telework, by 4.3 (1.5 to 12.2) for people working 51-75% in telework, and by 9.2 (1.6 to 51.5) for people working >75% in telework; the risk of sitting ≥ 14h/day was multiplied by 5.8 (1.07 to 31.5) for people working 51-75% in telework and dramatically increased by 34.3 (3.71 to 317) for people working >75% in telework in multivariate model.

conclusionTeleworking is the strongest risk factor for high sitting time, with a marked dose-response relation. While several other sociodemographic, occupational, and lifestyle factors showed association with sitting time in univariate model, many of these relationships weakened or disappeared in the multivariate models, except telework that remained the most consistent determinants of sedentary behavior when concomitantly put together with all other variables.

trial registrationClinicalTrials.gov NCT04538586.

Indexed as

Sedentary BehaviorTeleworkingAdultFemaleHumansLife StyleMaleMiddle AgedRisk FactorsSitting PositionSurveys and Questionnaires

Identifiers

PMID42721213
PMCPMC13561329

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.