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

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Halonen JI, Pulakka A, Pentti J, et al. Cross sectional associations of neighbourhood socioeconomic disadvantage and greenness with accelerometer measured leisure-time physical activity in a cohort of ageing workers. BMJ Open 2020;10:e038673. https://doi.org/10.1136/bmjopen-2020-038673

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Title: Cross-sectional associations of neighbourhood socioeconomic disadvantage and greenness with accelerometer-measured leisure-time physical activity in a cohort of ageing workers
Author: Halonen, Jaana I.; Pulakka, Anna; Pentti, Jaana; Kallio, Minna; Koskela, Sofia; Kivimäki, Mika; Kawachi, Ichiro; Vahtera, Jussi; Stenholm, Sari
Publisher: BMJ
Date: 2020
Language: en
Belongs to series: BMJ Open 10 8 (2020)
ISSN: 2044-6055
DOI: https://doi.org/10.1136/bmjopen-2020-038673
URI: http://hdl.handle.net/10138/338051
Abstract: Objective: 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. Design: Cross-sectional study. Setting: Finnish Retirement and Aging (FIREA) study. Participants: 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. 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. Results: 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. Conclusions: 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.
Description: Strengths and limitations of this study • Physical activity (PA) was measured objectively with wrist-worn accelerometers rather than self-reports allowing separate analysis for light, moderate-to-vigorous and total PA. • Data on working days enabled us to separately assess leisure-time PA on working days versus non-working days. • Neighbourhood disadvantage and greenness were independently assessed, allowing us to check the interactive effect of these two dimensions in relation to leisure-time PA. • The study population included predominately female ageing workers, so the generalisability of the findings to other populations needs to be confirmed in future studies. • Cross-sectional study design limits causal inference.
Subject: space
built environment
obesity
overweight
predictors
behaviors
people
sports medicine
preventive medicine
residential greenness
public health
health
transport
social medicine
Subject (ysa): avaruus
rakennettu ympäristö
ylipaino
ylipaino
ennustavat
käyttäytymiset
ihmiset
urheilulääketiede
ehkäisevä lääketiede
asuinalueiden vihreys
kansanterveys
terveys
kuljetus
sosiaalilääketiede
Rights: CC BY-NC 4.0


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