Evidence map›Paper›PMID 28395672›Full record

ArticleBMC geriatrics2017

Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income.

Anna M Chudyk, Heather A McKay, Meghan Winters, Joanie Sims-Gould, Maureen C Ashe

Abstract read
In one paragraph

Article in BMC geriatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
–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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Walk Score and Neighborhood Walkability: A Case Study of Daegu, South Korea.International journal of environmental research and public health · 2023
    Article
  20. Physical Activity and Symptom Burden in COPD: The Canadian Obstructive Lung Disease Study.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2023
    Article
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

5 authors.

Anna M ChudykCentre for Hip Health and Mobility, 7th floor-2635 Laurel Street, Vancouver, BC, V5Z 1M9, Canada. anna.chudyk@hiphealth.ca.
Heather A McKayCentre for Hip Health and Mobility, 7th floor-2635 Laurel Street, Vancouver, BC, V5Z 1M9, Canada.
Meghan WintersCentre for Hip Health and Mobility, 7th floor-2635 Laurel Street, Vancouver, BC, V5Z 1M9, Canada.
Joanie Sims-GouldCentre for Hip Health and Mobility, 7th floor-2635 Laurel Street, Vancouver, BC, V5Z 1M9, Canada.
Maureen C AsheCentre for Hip Health and Mobility, 7th floor-2635 Laurel Street, Vancouver, BC, V5Z 1M9, Canada.

Funding

CIHR 108607
6 · The paper itself

Abstract

backgroundWalking, and in particular, outdoor walking, is the most common form of physical activity for older adults. To date, no study investigated the association between the neighborhood built environment and physical activity habits of older adults of low SES. Thus, our overarching aim was to examine the association between the neighborhood built environment and the spectrum of physical activity and walking for transportation in older adults of low socioeconomic status.

methodsCross-sectional data were from the Walk the Talk Study, collected in 2012. Participants (n = 161, mean age = 74 years) were in receipt of a rental subsidy for low income individuals and resided in neighbourhoods across Metro Vancouver, Canada. We used the Street Smart Walk Score to objectively characterize the built environment main effect (walkability), accelerometry for objective physical activity, and the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire to measure walking for transportation. We used regression analyses to examine associations of objectively measured physical activity [total volume, light intensity and moderate intensity physical activity (MVPA)] and self-reported walking for transportation (any, frequency, duration) with walkability. We adjusted analyses for person- and environment-level factors associated with older adult physical activity.

resultsNeighbourhood walkability was not associated with physical activity volume or intensity and self-reported walking for transportation, with one exception. Each 10-point increase in Street Smart Walk Score was associated with a 45% greater odds of any walking for transportation (compared with none; OR = 1.45, 95% confidence interval = 1.18, 1.78). Sociodemographic, physical function and attitudinal factors were significant predictors of physical activity across our models.

conclusionsThe lack of associations between most of the explored outcomes may be due to the complexity of the relation between the person and environment. Given that this is the first study to explore these associations specifically in older adults living on low income, this study should be replicated in other settings.

Indexed as

Environment DesignExerciseTransportationWalkingAccelerometryAgedCanadaCross-Sectional StudiesFemaleHumansInternational Classification of Functioning, Disability and HealthMaleMobility LimitationPovertyResidence CharacteristicsSelf ReportBuilt environmentPhysical activityWalkabilityWalkingWalking for transportationWalk Score

Identifiers

PMID28395672
PMCPMC5385598

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LicenceCC BY
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Registered trials

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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.