Evidence map›Paper›PMID 29564754›Full record

ArticleThe journal of primary prevention2018

The Association of Point-of-Sale E-cigarette Advertising with Socio-Demographic Characteristics of Neighborhoods.

Neng Wan, Mohammad Siahpush, Raees A Shaikh, Molly McCarthy, Athena Ramos, Antonia Correa

Abstract read
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Article in The journal of primary prevention, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Neng WanUniversity of Utah, 332 S 1400 E, RM. 217, Salt Lake City, UT, 84112-9155, USA. neng.wan@utah.edu.
Mohammad SiahpushUniversity of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA.
Raees A ShaikhUniversity of Oklahoma Health Science Center, 1100 N. Lindsay, Oklahoma City, OK, 73104, USA.
Molly McCarthyUniversity of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA.
Athena RamosUniversity of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA.
Antonia CorreaUniversity of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA.

Funding

The effect of point-of-sale tobacco marketing on smoking cessationR01CA166156 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SIAHPUSH, MOHAMMAD · 2013 to 2015
$1.4M
NCI NIH HHS R01 CA166156
6 · The paper itself

Abstract

Electronic cigarettes (e-cigarettes) marketing expenditure is skyrocketing in the United States. However, little is understood about the geographic and socio-demographic patterns of e-cigarette advertising. We examined the associations between point-of-sale (POS) e-cigarette advertising and neighborhood socio-demographic characteristics in the Omaha Metropolitan Area of Nebraska. In 2014, fieldworkers collected comprehensive POS e-cigarette advertising data from all stores that sell tobacco (n = 463) in the Omaha Metropolitan Area. We used Geographic Information Systems to map POS e-cigarette advertisement density for the entire study area. Linear regression was used to examine the association between socio-demographic factors and POS e-cigarette advertising density. E-cigarette advertising density exhibited an obviously uneven geographic pattern in Omaha. Higher level of POS e-cigarette advertising was significantly related to lower median household income, higher percentage of Hispanics, and higher percentage of young adults. However, after adjusting for covariates, only median household income remained significantly associated with POS e-cigarette advertising. We found geographic, socioeconomic, and racial and ethnic disparities in exposure to POS e-cigarette advertising in Omaha, Nebraska. Future studies are needed to understand how these disparities influence e-cigarette adoption by different social groups and how to use such information to inform e-cigarette prevention strategies.

Indexed as

AdvertisingResidence CharacteristicsCommerceElectronic Nicotine Delivery SystemsGeographic Information SystemsHumansNebraskaSocioeconomic FactorsUnited StatesElectronic cigaretteGISKernel densityPoint-of-sale advertisingRace and ethnicitySocioeconomic status

Identifiers

What OpenQuestion holds

Textmetadata
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.