Cross-sectional associations of neighbourhood socioeconomic disadvantage and greenness with accelerometer-measured leisure-time physical activity in a cohort of ageing workers.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
16 08 2020
Historique:
entrez: 18 8 2020
pubmed: 18 8 2020
medline: 19 3 2021
Statut: epublish

Résumé

Neighbourhood characteristics may affect the level of physical activity (PA) of the residents. Few studies have examined the combined effects of distinctive neighbourhood characteristics on PA using objective data or differentiated between activity during working or non-working days. We examined the associations of socioeconomic disadvantage and greenness with accelerometer-measured leisure-time PA during working and non-working days. Cross-sectional study. Finnish Retirement and Aging (FIREA) study. 708 workers (604 women, mean age 62.4 ranging from 58 to 64 years,) participating in the FIREA study who provided PA measurement data for at least 1 working and non-working day. PA was measured with wrist-worn accelerometer on average of 4 working and 2 non-working days. Outcomes were total PA, light PA (LPA) and moderate-to-vigorous PA (MVPA). These measurements were linked to data on neighbourhood socioeconomic disadvantage and greenness within the home neighbourhood (750×750 m). Generalised linear models were adjusted for possible confounders. On non-working days, higher neighbourhood disadvantage associated with lower levels of total PA (p value=0.07) and higher level of neighbourhood greenness associated with higher level of total PA (p value=0.04). Neighbourhood disadvantage and greenness had an interaction (p value=0.02); in areas of low disadvantage higher greenness did not associate with the level of total PA. However, in areas of high disadvantage, 2 SD higher greenness associated with 46 min/day (95% CI 8.4 to 85) higher total PA. Slightly stronger interaction was observed for LPA (p=0.03) than for the MVPA (p=0.09). During working days, there were no associations between neighbourhood characteristics and leisure-time total PA. Of the disadvantaged neighbourhoods, those characterised by high levels of greenness seem to associate with higher levels of leisure-time PA during non-working days. These findings suggest that efforts to add greenness to socioeconomically disadvantaged neighbourhoods might reduce inequalities in PA.

Identifiants

pubmed: 32801206
pii: bmjopen-2020-038673
doi: 10.1136/bmjopen-2020-038673
pmc: PMC7430423
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e038673

Subventions

Organisme : Medical Research Council
ID : MR/K013351/1
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Jaana I Halonen (JI)

Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Anna Pulakka (A)

Centre for Population Health Research, University of Turku, Turku, Finland.
Department of Public Health, University of Turku, Turku, Finland.
Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.

Jaana Pentti (J)

Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Centre for Population Health Research, University of Turku, Turku, Finland.
Department of Public Health, University of Turku, Turku, Finland.

Minna Kallio (M)

Geoinformatics Services, Finnish Environment Institute, Helsinki, Finland.

Sofia Koskela (S)

Department of Geography and Geology, University of Turku, Turku, Finland.

Mika Kivimäki (M)

Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Department of Epidemiology and Public Health, University College London, London, UK.

Ichiro Kawachi (I)

Department of Society Human Development, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.

Jussi Vahtera (J)

Centre for Population Health Research, University of Turku, Turku, Finland.
Department of Public Health, University of Turku, Turku, Finland.

Sari Stenholm (S)

Centre for Population Health Research, University of Turku, Turku, Finland sari.stenholm@utu.fi.
Department of Public Health, University of Turku, Turku, Finland.

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Classifications MeSH