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Tytuł pozycji:

Associations between neighbourhood street pattern, neighbourhood socioeconomic status and sleep in adults.

Tytuł :
Associations between neighbourhood street pattern, neighbourhood socioeconomic status and sleep in adults.
Autorzy :
Lukic R; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada.
Olstad DL; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada.
Doyle-Baker PK; Faculty of Kinesiology, University of Calgary, Canada.; School of Planning, Architecture, and Landscape, University of Calgary, Canada.
Potestio ML; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada.
McCormack GR; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada.; Faculty of Kinesiology, University of Calgary, Canada.; School of Planning, Architecture, and Landscape, University of Calgary, Canada.; Faculty of Sport Sciences, Waseda University, Japan.
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Źródło :
Preventive medicine reports [Prev Med Rep] 2021 Mar 11; Vol. 22, pp. 101345. Date of Electronic Publication: 2021 Mar 11 (Print Publication: 2021).
Typ publikacji :
Journal Article
Język :
English
Imprint Name(s) :
Original Publication: [New York, NY] : Elsevier Inc., [2014]-
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Contributed Indexing :
Keywords: Built environment; Neighbourhood; Sleep; Socioeconomic status; Street pattern
Entry Date(s) :
Date Created: 20210414 Latest Revision: 20210416
Update Code :
20210416
PubMed Central ID :
PMC8022243
DOI :
10.1016/j.pmedr.2021.101345
PMID :
33850695
Czasopismo naukowe
Sleep duration is a risk factor for poor health and all-cause mortality. Evidence suggests that neighbourhood characteristics such as built environment and socioeconomic status (SES) may affect sleep duration in adults. This study examined the relationship between neighbourhood built environment (i.e., measured via the street pattern) and SES with sleep duration in adults (n = 797) from 12 neighbourhoods in Calgary (Canada). Covariate adjusted linear and multinomial logistic regression models estimated the associations between street pattern (grid, warped-grid, curvilinear), SES and sleep duration. We also tested if the interaction between street pattern and SES was associated with sleep duration. Although neighbourhood street pattern and neighbourhood SES were not independently associated with sleep, the interaction between street pattern and neighbourhood SES, was associated with mean sleep duration. Individuals living in curvilinear low SES neighbourhoods had the shortest sleep duration (6.93 h per day; 95% CI 6.68, 7.18), while those living in curvilinear high SES neighbourhoods slept the longest (7.43 h per day; 95% CI 7.29, 7.57). Neighbourhood street pattern and SES, as well as their interaction, were not associated with the odds of sleeping shorter or longer than 7 to 8 h per day. Our findings suggest that the combined effect of the neighbourhood built environment and SES is potentially important for influencing sleep duration. More research is needed to understand the complex interrelationships between the built environment, SES, and sleep.
(© 2021 The Author(s).)

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