Evidence map›Paper›PMID 30986919›Full record

ArticleInternational journal of environmental research and public health2019

A Time-Based Objective Measure of Exposure to the Food Environment.

Jason Y Scully, Anne Vernez Moudon, Philip M Hurvitz, Anju Aggarwal, Adam Drewnowski

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
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

5 authors.

Jason Y ScullyDepartment of Planning and Public Administration, Eastern Washington University, 668 N Riverpoint Blvd, Suite A, Spokane, WA 99202, USA. jscully@ewu.edu.ORCID 0000-0003-0693-7454
Anne Vernez MoudonThe Urban Form Lab, University of Washington, Seattle, WA 98195, USA. moudon@uw.edu.
Philip M HurvitzThe Urban Form Lab, University of Washington, Seattle, WA 98195, USA. phurvitz@uw.edu.ORCID 0000-0002-2944-0785
Anju AggarwalCenter for Public Health Nutrition, University of Washington, Seattle, WA 98105, USA. anjuagg@uw.edu.
Adam DrewnowskiCenter for Public Health Nutrition, University of Washington, Seattle, WA 98105, USA. adamdrew@uw.edu.

Funding

Food Environment, Diet Quality and Disparities in ObesityR01DK076608 · NIDDK · UNIVERSITY OF WASHINGTON · PI DREWNOWSKI, ADAM · 2008 to 2019
$6.3M
NIDDK NIH HHS R01 DK076608NIDDK NIH HHS R01DK076608
6 · The paper itself

Abstract

Exposure to food environments has mainly been limited to counting food outlets near participants' homes. This study considers food environment exposures in time and space using global positioning systems (GPS) records and fast food restaurants (FFRs) as the environment of interest. Data came from 412 participants (median participant age of 45) in the Seattle Obesity Study II who completed a survey, wore GPS receivers, and filled out travel logs for seven days. FFR locations were obtained from Public Health Seattle King County and geocoded. Exposure was conceptualized as contact between stressors (FFRs) and receptors (participants' mobility records from GPS data) using four proximities: 21 m, 100 m, 500 m, and ½ mile. Measures included count of proximal FFRs, time duration in proximity to ≥1 FFR, and time duration in proximity to FFRs weighted by FFR counts. Self-reported exposures (FFR visits) were excluded from these measures. Logistic regressions tested associations between one or more reported FFR visits and the three exposure measures at the four proximities. Time spent in proximity to an FFR was associated with significantly higher odds of FFR visits at all proximities. Weighted duration also showed positive associations with FFR visits at 21-m and 100-m proximities. FFR counts were not associated with FFR visits. Duration of exposure helps measure the relationship between the food environment, mobility patterns, and health behaviors. The stronger associations between exposure and outcome found at closer proximities (<100 m) need further research.

Indexed as

AdultFast FoodsFemaleFood SupplyGeographic Information SystemsHumansMaleMiddle AgedObesityResidence CharacteristicsRestaurantsSelf ReportSurveys and QuestionnairesTexasTravelFast foodGPSmobility patternsselective mobility biasspatio-temporal exposure

Identifiers

PMID30986919
PMCPMC6480343

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.