Evidence map›Paper›PMID 33270692›Full record

ArticlePloS one2020

Associations between objectively-measured and self-reported neighbourhood walkability on adherence and steps during an internet-delivered pedometer intervention.

Anna Consoli, Alberto Nettel-Aguirre, John C Spence, Tara-Leigh McHugh, Kerry Mummery, Gavin R McCormack

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Does a walking intervention work equally in low and high walkable areas? A large-scale incentive program in Japan.The international journal of behavioral nutrition and physical activity · 2026
    Article
  5. Article
  6. Associations of neighbourhood walkability with patterns of device-measured stepping, standing and sitting.The international journal of behavioral nutrition and physical activity · 2025
    Article
  7. Neighbourhood Walkability and Physical Activity during the COVID-19 Pandemic.International journal of environmental research and public health · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Optimization of Walk Score Based on Street Greening-A Case Study of Zhongshan Road in Qingdao.International journal of environmental research and public health · 2021
    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

6 authors at 3 institutions in 2 countries.

Anna ConsoliCumming School of Medicine, University of Calgary, Alberta, Canada.
Alberto Nettel-AguirreCumming School of Medicine, University of Calgary, Alberta, Canada.
John C SpenceFaculty of Kinesiology, Sport, and Recreation, University of Alberta, Alberta, Canada.
Tara-Leigh McHughFaculty of Kinesiology, Sport, and Recreation, University of Alberta, Alberta, Canada.
Kerry MummeryFaculty of Kinesiology, Sport, and Recreation, University of Alberta, Alberta, Canada.
Gavin R McCormackCumming School of Medicine, University of Calgary, Alberta, Canada.ORCID 0000-0003-0674-0838
University of Alberta · CAUniversity of Calgary · CAWaseda University · JP

Funding

CIHR FDN-154331CIHR MOP-142261
6 · The paper itself

Abstract

backgroundAccumulating evidence suggests that the built environment is associated with physical activity. The extent to which the built environment may support adherence to physical activity interventions is unclear. The aim of this study was to investigate whether the neighbourhood built environment constrains or facilitates adherence and steps taken during a 12-week internet-delivered pedometer-based physical activity intervention (UWALK).

methodThe study was undertaken in Calgary (Canada) between May 2016 and August 2017. Inactive adults (n = 573) completed a telephone survey measuring sociodemographic characteristics and perceived neighbourhood walkability. Following the survey, participants were mailed a pedometer and instructions for joining UWALK. Participants were asked to report their daily pedometer steps into the online program on a weekly basis for 12 weeks (84 days). Walk Score® estimated objective neighbourhood walkability and the Neighbourhood Environment Walkability Scale-Abbreviated (NEWS-A) measured participants self-reported neighbourhood walkability. Regression models estimated covariate-adjusted associations of objective and self-reported walkability with: 1) adherence to the UWALK intervention (count of days with steps reported and count of days with 10000 steps reported), and; 2) average daily pedometer steps.

resultsOn average, participants undertook 8565 (SD = 3030) steps per day, reported steps on 67 (SD = 22.3) of the 84 days, and achieved ≥10000 steps on 22 (SD = 20.5) of the 84 days. Adjusting for covariates, a one-unit increase in self-reported walkability was associated on average with 45.76 (95CI 14.91, 76.61) more daily pedometer steps. Walk Score® was not significantly associated with steps. Neither objective nor self-reported walkability were significantly associated with the UWALK adherence outcomes.

conclusionThe neighbourhood built environment may support pedometer-measured physical activity but may not influence adherence to pedometer interventions. Perceived walkability may be more important than objectively-measured walkability in supporting physical activity during pedometer interventions.

Indexed as

Residence CharacteristicsAccelerometryAlbertaBehavior TherapyBuilt EnvironmentExerciseFemaleHumansInternetMaleMiddle AgedSedentary BehaviorSelf ReportSocioeconomic FactorsSurveys and QuestionnairesWalking

Identifiers

PMID33270692
PMCPMC7714347
OpenAlexW3108924173

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.