Evidence map›Paper›PMID 32801206›Full record

ArticleBMJ open2020

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

Jaana I Halonen, Anna Pulakka, Jaana Pentti, Minna Kallio, Sofia Koskela, Mika Kivimäki, Ichiro Kawachi, Jussi Vahtera, Sari Stenholm

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

9 authors.

Jaana I HalonenHealth Security, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0003-1142-0388
Anna PulakkaCentre for Population Health Research, University of Turku, Turku, Finland.
Jaana PenttiFaculty of Medicine, University of Helsinki, Helsinki, Finland.
Minna KallioGeoinformatics Services, Finnish Environment Institute, Helsinki, Finland.
Sofia KoskelaDepartment of Geography and Geology, University of Turku, Turku, Finland.
Mika KivimäkiFaculty of Medicine, University of Helsinki, Helsinki, Finland.
Ichiro KawachiDepartment of Society Human Development, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
Jussi VahteraCentre for Population Health Research, University of Turku, Turku, Finland.ORCID 0000-0002-6036-061X
Sari StenholmCentre for Population Health Research, University of Turku, Turku, Finland sari.stenholm@utu.fi.ORCID 0000-0001-7560-0930

Funding

Medical Research Council MR/K013351/1
6 · The paper itself

Abstract

objectiveNeighbourhood 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.

designCross-sectional study.

settingFinnish Retirement and Aging (FIREA) study.

participants708 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. PRIMARY AND SECONDARY OUTCOMES: 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.

resultsOn 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.

conclusionsOf 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.

Indexed as

AgingExerciseResidence CharacteristicsAccelerometryCross-Sectional StudiesFemaleFinlandHumansLeisure ActivitiesMaleMiddle AgedSocioeconomic Factorspreventive medicinepublic healthsocial medicinesports medicine

Identifiers

PMID32801206
PMCPMC7430423

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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.