Evidence map›Paper›PMID 28103842›Full record

ArticleBMC public health2017

One size doesn't fit all: cross-sectional associations between neighborhood walkability, crime and physical activity depends on age and sex of residents.

Andrea S Richardson, Wendy M Troxel, Madhumita B Ghosh-Dastidar, Robin Beckman, Gerald P Hunter, Amy S DeSantis, Natalie Colabianchi, Tamara Dubowitz

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
13.0field-weighted citation impact, top 2% of its field
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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  6. Associations of neighbourhood walkability with patterns of device-measured stepping, standing and sitting.The international journal of behavioral nutrition and physical activity · 2025
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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

8 authors at 2 institutions in 1 country.

Andrea S RichardsonRAND Corporation, Health Division, 4570 Fifth Avenue, Pittsburgh, PA, 15213, USA. arichard@rand.org.
Wendy M TroxelRAND Corporation, Health Division, 4570 Fifth Avenue, Pittsburgh, PA, 15213, USA.
Madhumita B Ghosh-DastidarRAND Corporation, Health Division, 4570 Fifth Avenue, Pittsburgh, PA, 15213, USA.
Robin BeckmanRAND Corporation, Health Division, Santa Monica, CA, 90407-2138, USA.
Gerald P HunterRAND Corporation, Health Division, 4570 Fifth Avenue, Pittsburgh, PA, 15213, USA.
Amy S DeSantisRAND Corporation, Health Division, 4570 Fifth Avenue, Pittsburgh, PA, 15213, USA.
Natalie ColabianchiUniversity of Michigan, School of Kinesiology, Ann Arbor, MI, 48109-2013, USA.
Tamara DubowitzRAND Corporation, Health Division, 4570 Fifth Avenue, Pittsburgh, PA, 15213, USA.
RAND Corporation · USUniversity of Michigan–Ann Arbor · US

Funding

Neighborhood Change: Impact on Sleep and Obesity-Related Health DisparitiesR01HL122460 · NHLBI · RAND CORPORATION · PI DUBOWITZ, TAMARA, TROXEL, WENDY M · 2015 to 2018
$3.3M
Impact of Greenspace Improvement on Physical Activity in a Low Income CommunityR01CA164137 · NCI · RAND CORPORATION · PI DUBOWITZ, TAMARA · 2012 to 2016
$3.1M
NCI NIH HHS R01 CA164137NHLBI NIH HHS R01 HL122460
6 · The paper itself

Abstract

backgroundLow-income African American adults are disproportionately affected by obesity and are also least likely to engage in recommended levels of physical activity (Flegal et al. JAMA 303(3):235-41, 2010; Tucker et al. Am J Prev Med 40(4):454-61, 2011). Moderate-to-vigorous physical activity (MVPA) is an important factor for weight management and control, as well as for reducing disease risk (Andersen et al. Lancet 368(9532):299-304, 2006; Boreham and Riddoch J Sports Sci 19(12):915-29, 2001; Carson et al. PLoS One 8(8):e71417, 2013). While neighborhood greenspace and walkability have been associated with increased MVPA, evidence also suggests that living in areas with high rates of crime limits MVPA. Few studies have examined to what extent the confluence of neighborhood greenspace, walkability and crime might impact MVPA in low-income African American adults nor how associations may vary by age and sex.

methodsIn 2013 we collected self-reported data on demographics, functional limitations, objective measures of MVPA (accelerometry), neighborhood greenspace (geographic information system), and walkability (street audit) in 791 predominantly African-American adults (mean age 56 years) living in two United States (U.S.) low-income neighborhoods. We also acquired data from the City of Pittsburgh on all crime events within both neighborhoods. EXPOSURE: To examine cross-sectional associations of neighborhood-related variables (i.e., neighborhood greenspace, walkability and crime) with MVPA, we used zero-inflated negative binomial regression models. Additionally, we examined potential interactions by age (over 65 years) and sex on relationships between neighborhood variables and MVPA.

resultsOverall, residents engaged in very little to no MVPA regardless of where they lived. However, for women, but not men, under the age of 65 years, living in more walkable neighborhoods was associated with more time engaged in MVPA in (β = 0.55, p = 0.007) as compared to their counterparts living in less walkable areas. Women and men age 65 years and over spent very little time participating in MVPA regardless of neighborhood walkability. Neither greenspace nor crime was associated with MVPA in age-sex subgroups.

conclusionsNeighborhood walkability may play a stronger role on MVPA than accessible greenspace or crime in low-income urban communities. Walkability may differentially impact residents depending on their age and sex, which suggests tailoring public health policy design and implementation according to neighborhood demographics to improve activity for all.

Indexed as

Age FactorsResidence CharacteristicsSex FactorsAccelerometryAdultAgedBlack or African AmericanCrimeCross-Sectional StudiesEnvironment DesignExerciseFemaleGeographic Information SystemsHumansMaleMiddle AgedEnvironmentLow-income populationsPhysical activity

Identifiers

PMID28103842
PMCPMC5248471
OpenAlexW2573369523

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.