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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
07 01 2022
Historique:
received: 24 06 2021
accepted: 09 11 2021
entrez: 8 1 2022
pubmed: 9 1 2022
medline: 24 2 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34996917
doi: 10.1038/s41598-021-03071-8
pii: 10.1038/s41598-021-03071-8
pmc: PMC8741887
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

195

Subventions

Organisme : Japan Society for the Promotion of Sciences
ID : 20H00040
Organisme : Canadian Institutes of Health Research Foundations Scheme
ID : FDN-154331
Organisme : National Health and Medical Research Council of Australia
ID : #1118225
Organisme : Japan Society for the Promotion of Science
ID : 20H04113

Informations de copyright

© 2022. The Author(s).

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Auteurs

Chien-Yu Lin (CY)

Graduate School of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa, Saitama, 359-1192, Japan. chienyulin@akane.waseda.jp.

Mohammad Javad Koohsari (MJ)

Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.

Yung Liao (Y)

Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei, Taiwan.

Kaori Ishii (K)

Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.

Ai Shibata (A)

Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan.

Tomoki Nakaya (T)

Graduate School of Environmental Studies, Tohoku University, Sendai, Japan.

Gavin R McCormack (GR)

Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.

Nyssa Hadgraft (N)

Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia.

Takemi Sugiyama (T)

Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia.
Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia.

Neville Owen (N)

Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia.
Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia.

Koichiro Oka (K)

Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.

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Classifications MeSH