Evidence map›Paper›PMID 35415418›Full record

ArticleJournal of healthcare informatics research2019

Individual Mobility and Uncertain Geographic Context: Real-time Versus Neighborhood Approximated Exposure to Retail Tobacco Outlets Across the US.

Thomas R Kirchner, Hong Gao, Daniel J Lewis, Andrew Anesetti-Rothermel, Heather A Carlos, Brian House

Abstract read
In one paragraph

Article in Journal of healthcare informatics research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Thomas R KirchnerCollege of Global Public Health, New York University, 715 Broadway, 12th Floor, New York, NY 10003 USA.
Hong GaoCollege of Global Public Health, New York University, 715 Broadway, 12th Floor, New York, NY 10003 USA.
Daniel J LewisDepartment of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine, London, UK.
Andrew Anesetti-RothermelSchroeder Institute at Truth Initiative, Washington, DC USA.
Heather A CarlosNorris Cotton Cancer Center, Dartmouth College, Hanover, NH USA.
Brian HouseBrown University, Providence, RI USA.

Funding

SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
Real-time Exposure to Point-of-Sale Tobacco and Longitudinal Patterns of UseR01DA034734 · NIDA · TRUTH INITIATIVE FOUNDATION · PI KIRCHNER, THOMAS ROBERT · 2014 to 2016
$2.1M
Marijuana Access at Point-of-sale: Legalization, Attitudes, and Behavior (MAP:LAB)R01DA040930 · NIDA · NEW YORK UNIVERSITY · PI KIRCHNER, THOMAS ROBERT · 2015 to 2017
$1.7M
NCATS NIH HHS UL1 TR001086NIDA NIH HHS R01 DA034734NIDA NIH HHS R01 DA040930
6 · The paper itself

Abstract

There is growing interest in the way exposure to neighborhood risk and protective factors affects the health of residents. Although multiple approaches have been reported, empirical methods for contrasting the spatial uncertainty of exposure estimates are not well established. The objective of this paper was to contrast real-time versus neighborhood approximated exposure to the landscape of tobacco outlets across the contiguous US. A nationwide density surface of tobacco retail outlet locations was generated using kernel density estimation (KDE). This surface was linked to participants' (

Indexed as

Exposure scienceHuman mobilityRetail environmentSpatial uncertaintyUrban computing

Identifiers

PMID35415418
PMCPMC8982724

What OpenQuestion holds

Textmetadata
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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.