Evidence map›Paper›PMID 22261217›Full record

ArticleAmerican journal of preventive medicine2012

Assessing the built environment using omnidirectional imagery.

Jeffrey S Wilson, Cheryl M Kelly, Mario Schootman, Elizabeth A Baker, Aniruddha Banerjee, Morgan Clennin, Douglas K Miller

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Trial
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  5. Assessing Upstream Structural and Social Drivers of Health in Breast Cancer Survivorship: The Pathways Study Neighborhood Resource.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  6. Article
  7. Article
  8. Article
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  12. Validation of desk-based audits using Google Street ViewInternational journal of health geographics · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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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

7 authors.

Jeffrey S WilsonDepartment of Geography, Indiana University-Purdue University, Indianapolis, 46202, USA. jeswilso@iupui.edu
Cheryl M Kelly
Mario Schootman
Elizabeth A Baker
Aniruddha Banerjee
Morgan Clennin
Douglas K Miller

Funding

PHYSICAL FRAILTY IN URBAN AFRICAN-AMERICANSR01AG010436 · NIA · SAINT LOUIS UNIVERSITY · PI DAVILA-ROMAN, VICTOR G. · 1991 to 2011
$8.5M
NIA NIH HHS R01 AG010436
6 · The paper itself

Abstract

Observational audits commonly are used in public health research to collect data on built environment characteristics that affect health-related behaviors and outcomes, including physical activity and weight status. However, implementing in-person field audits can be expensive if observations are needed over large or geographically dispersed areas or at multiple points in time. A reliable and more efficient method for observational audits could facilitate extendibility (i.e., expanded geographic and temporal scope) and lead to more standardized assessment that strengthens the ability to compare results across different regions and studies. The purpose of the current study was to evaluate the degree of agreement between field audits and audits derived from interpretation of three types of omnidirectional imagery. Street segments from St. Louis MO and Indianapolis IN were stratified geographically to ensure representation of neighborhoods with different socioeconomic characteristics in both cities. Audits were conducted in 2008 and 2009 using four methods: field audits, and interpretation of archived imagery, new imagery, and Google Street View™ imagery. Agreement between field audits and image-based audits was assessed using observed agreement and the prevalence-adjusted bias-adjusted kappa statistic (PABAK). Data analysis was conducted in 2010. When measuring the agreement between field audits and audits from the different sources of imagery, the mean PABAK statistic for all items on the instrument was 0.78 (archived); 0.80 (new); and 0.81 (Street View imagery), indicating substantial to nearly perfect agreement among methods. It was determined that image-based audits represent a reliable method that can be used in place of field audits to measure several key characteristics of the built environment important to public health research.

Indexed as

CitiesPhotographyPublic HealthHealth BehaviorHumans

Identifiers

PMID22261217
PMCPMC3263366

What OpenQuestion holds

Textmetadata
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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.