Evidence map›Paper›PMID 25515179›Full record

Trial reportInternational journal of health geographics2014

The SPOTLIGHT virtual audit tool: a valid and reliable tool to assess obesogenic characteristics of the built environment.

John R Bethlehem, Joreintje D Mackenbach, Maher Ben-Rebah, Sofie Compernolle, Ketevan Glonti, Helga Bárdos, Harry R Rutter, Hélène Charreire, Jean-Michel Oppert, Johannes Brug and 1 more

Abstract readRandomized Controlled TrialValidation Study
In one paragraph

Trial report in International journal of health geographics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Urban Health Indicator Tools of the Physical Environment: a Systematic Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2018
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Validation of desk-based audits using Google Street ViewInternational journal of health geographics · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Neighbourhood drivability: environmental and individual characteristics associated with car use across Europe.The international journal of behavioral nutrition and physical activity · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Validity and Reliability of the Facility List Coder, a New Tool to Evaluate Community Food Environments.International journal of environmental research and public health · 2019
    Article
  18. Psychological and Biological Pathways Linking Perceived Neighborhood Characteristics and Body Mass Index.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2019
    Article
  19. Article
  20. Data Collection Instruments for Obesogenic Environments in Adults: A Scoping Review.International journal of environmental research and public health · 2019
    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

11 authors.

John R BethlehemDepartment of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands. j.bethlehem@outlook.com.
Joreintje D Mackenbach
Maher Ben-Rebah
Sofie Compernolle
Ketevan Glonti
Helga Bárdos
Harry R Rutter
Hélène Charreire
Jean-Michel Oppert
Johannes Brug
Jeroen Lakerveld

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA lack of physical activity and overconsumption of energy dense food is associated with overweight and obesity. The neighbourhood environment may stimulate or hinder the development and/or maintenance of a healthy lifestyle. To improve research on the obesogenicity of neighbourhood environments, reliable, valid and convenient assessment methods of potential obesogenic characteristics of neighbourhood environments are needed. This study examines the reliability and validity of the SPOTLIGHT-Virtual Audit Tool (S-VAT), which uses remote sensing techniques (Street View feature in Google Earth) for desk-based assessment of environmental obesogenicity.

methodsA total of 128 street segments in four Dutch urban neighbourhoods - heterogeneous in socio-economic status and residential density - were assessed using the S-VAT. Environmental characteristics were categorised as walking related items, cycling related items, public transport, aesthetics, land use-mix, grocery stores, food outlets and physical activity facilities. To assess concordance of inter- and intra-observer reliability of the Street View feature in Google Earth, and validity scores with real life audits, percentage agreement and Cohen's Kappa (k) were calculated.

resultsIntra-observer reliability was high and ranged from 91.7% agreement (k = 0.654) to 100% agreement (k = 1.000) with an overall agreement of 96.4% (k = 0.848). Inter-observer reliability results ranged from substantial agreement 78.6% (k = 0.440) to high agreement, 99.2% (k = 0.579), with an overall agreement of 91.5% (k = 0.595). Criterion validity was substantial to high for most of the categories ranging from 87.3% agreement (k = 0.539) to 99.9% agreement (k = 0.887) with an overall score of 95.6% agreement (k = 0.747).

conclusionThese study results suggest that the S-VAT is a highly reliable and valid remote sensing tool to assess potential obesogenic environmental characteristics.

Indexed as

Environment DesignResidence CharacteristicsUrban PopulationHumansNetherlandsObesityRemote Sensing TechnologyReproducibility of ResultsSocioeconomic Factors

Identifiers

PMID25515179
PMCPMC4279584

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.