Evidence map›Paper›PMID 36161128›Full record

ArticlePreventive medicine reports2022

Association of neighborhood Walk Score with accelerometer-measured physical activity varies by neighborhood socioeconomic status in older women.

Rebecca A Seguin-Fowler, Andrea Z LaCroix, Michael J LaMonte, Jingmin Liu, Jason E Maddock, Chad D Rethorst, Chloe E Bird, Marcia L Stefanick, JoAnn E Manson

Abstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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.

Rebecca A Seguin-FowlerInstitute for Advancing Health through Agriculture 1500 Research Parkway, Centeq Building B, College Station, TX 77845, United States.
Andrea Z LaCroixHerbert Wertheim School of Public Health and Longevity Science, Division of Epidemiology University of California-San Diego, 9500 Gilman Dr #0725, La Jolla, CA, 92161 United States.
Michael J LaMonteDepartment of Epidemiology and Environmental Health, University at Buffalo, 273 Farber Hall Buffalo, NY 14214, United States.
Jingmin LiuSeagen, Inc, 21717 30 Drive SE, Building 3 Bothell, WA 98021, United States.
Jason E MaddockSchool of Public Health Texas A&M University, 212 Adriance Lab Rd, 1266 TAMU, College Station, TX 77843, United States.
Chad D RethorstTexas A&M AgriLife Research, 17360 Coit Rd Dallas, TX 77843, United States.
Chloe E BirdTufts Medical Center and Tufts University School of Medicine, 800 Washington St Box 63, Boston, MA 02111, United States.
Marcia L StefanickStanford Prevention Research Center Stanford University, 1265 Welch Rd Room X308, Stanford, CA 94305, United States.
JoAnn E MansonDepartment of Medicine, Brigham and Women's Hospital Harvard Medical School, 75 Francis Str, Boston, MA 02115, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The built environment can influence physical activity behavior. Walk Score is a widely used measure of the neighborhood built environment to support walking. However, studies of the association between Walk Score and accelerometer-measured physical activity are equivocal and no studies have examined this relationship among older adults. We analyzed data from a large, diverse sample of women (n = 5650) with a mean age of 79.5 (SD = 6.7) at time of accelerometry wear in the Women's Health Initiative Objective Physical Activity Cardiovascular Health Study in the United States to examine associations between neighborhood Street Smart Walk Score (SSWS) and accelerometer-measured physical activity. Participants wore triaxial accelerometers for seven days and SSWS was determined from home addresses. 67 % of the sample lived in "car-dependent" locations (SSWS 0-49 out of 100); only 3 % lived in "walker's paradise" locations (SSWS 90-100). The multivariable model indicated an association between SSWS and accelerometer-measured physical activity (steps/day) in the total sample. The association varied by neighborhood socioeconomic status; in high socioeconomic status neighborhoods, higher SWSS was associated with greater steps per day, while no significant association between SWSS and physical activity was observed in low socioeconomic neighborhoods. This study should catalyze furtherresearch regarding the utility of SSWS in determining neighborhood walkability for older women across different neighborhood settings and suggests other built environment factors must be considered when determining walkability. Future studies should examine what factors influence walkability and develop age-relevant methods to assess and characterize neighborhood walkability.

Indexed as

ANOVA, analysis of varianceBMI, body mass indexMETs, metabolic equivalent of taskOlder womenOPACH, Objective Physical Activity and Cardiovascular HealthPhysical activitySocioeconomicSWSS, Street Smart Walk ScoreWalkabilityWalk ScoreWHI, Women's Health InitiativeWomen’s Health Initiative

Identifiers

PMID36161128
PMCPMC9502671

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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.