Evidence map›Paper›PMID 34996917›Full record

Observational studyScientific reports2022

Workplace neighbourhood built-environment attributes and sitting at work and for transport among Japanese desk-based workers.

Chien-Yu Lin, Mohammad Javad Koohsari, Yung Liao, Kaori Ishii, Ai Shibata, Tomoki Nakaya, Gavin R McCormack, Nyssa Hadgraft, Takemi Sugiyama, Neville Owen and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

11 authors.

Chien-Yu LinGraduate School of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa, Saitama, 359-1192, Japan. chienyulin@akane.waseda.jp.
Mohammad Javad KoohsariFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Yung LiaoFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Kaori IshiiFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Ai ShibataFaculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan.
Tomoki NakayaGraduate School of Environmental Studies, Tohoku University, Sendai, Japan.
Gavin R McCormackFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Nyssa HadgraftCentre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia.
Takemi SugiyamaCentre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia.
Neville OwenCentre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia.
Koichiro OkaFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.

Funding

Canadian Institutes of Health Research Foundations Scheme FDN-154331Japan Society for the Promotion of Science 20H04113Japan Society for the Promotion of Sciences 20H00040National Health and Medical Research Council of Australia #1118225
6 · The paper itself

Abstract

Workplace settings-both internal and external-can influence how workers are physically active or sedentary. Although research has identified some indoor environmental attributes associated with sitting at work, few studies have examined associations of workplace neighbourhood built-environment attributes with workplace sitting time. We examined the cross-sectional associations of perceived and objective workplace neighbourhood built-environment attributes with sitting time at work and for transport among desk-based workers in Japan. Data were collected from a nationwide online survey. The Abbreviated Neighborhood Environment Walkability Scale (n = 2137) and Walk Score® (for a subsample of participants; n = 1163) were used to assess perceived and objective built-environment attributes of workplace neighbourhoods. Self-reported daily average sitting time at work, in cars and in public transport was measured using a Japanese validated questionnaire. Linear regression models estimated the associations of workplace neighbourhood built-environment attributes with sitting time. All perceived workplace neighbourhood built-environment attributes were positively correlated with Walk Score®. However, statistically significant associations with Walk Score® were found for sitting for transport but not for sitting at work. Workers who perceived their workplace neighbourhoods to be more walkable reported a longer time sitting at work and in public transport but a shorter sitting time in cars. Our findings suggest that walkable workplace neighbourhoods may discourage longer car use but have workplaces where workers spend a long time sitting at work. The latter finding further suggests that there may be missed opportunities for desk-based workers to reduce sitting time. Future workplace interventions to reduce sitting time may be developed, taking advantage of the opportunities to take time away from work in workplace neighbourhoods.

Indexed as

Built EnvironmentExerciseJob DescriptionNeighborhood CharacteristicsOccupational HealthSedentary BehaviorSitting PositionTransportationWorkplaceAdultCross-Sectional StudiesFemaleHumansJapanMaleMiddle Aged

Identifiers

PMID34996917
PMCPMC8741887

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.