Evidence map›Paper›PMID 30775412›Full record

ArticleTobacco regulatory science2018

Visual Attention Patterns Differ by Pictorial Health Warning Label Features.

Melissa Mercincavage, Jordan Burdge, Kirsten Lochbuehler, Valentina Souprountchouk, Alexandra A McCullough, Andrew A Strasser

Abstract read
In one paragraph

Article in Tobacco regulatory science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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

7 citing papers in PubMed.

  1. Trial
  2. Mediational Effects on Motivation to Quit Smoking After Exposure to a Cigarette Pictorial Warning Label Among Young Adults.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
    Trial
  3. Assessing Attention to Tobacco Warnings With a Heatmapping Task.American journal of preventive medicine · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. 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.

Melissa MercincavageDepartment of Psychiatry, University of Pennsylvania Tobacco Center of Regulatory Science and Center for Interdisciplinary Research on Nicotine Addiction [CIRNA], University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Jordan BurdgeDepartment of Psychiatry, CIRNA, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Kirsten LochbuehlerDepartment of Psychiatry, University of Pennsylvania Tobacco Center of Regulatory Science and CIRNA, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Valentina SouprountchoukDepartment of Psychiatry, CIRNA, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Alexandra A McCulloughDepartment of Psychiatry, CIRNA, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Andrew A StrasserDepartment of Psychiatry, University of Pennsylvania Tobacco Center of Regulatory Science and CIRNA, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.

Funding

UPENN TCORS: Tobacco Product Messaging in a Complex Communication EnvironmentP50CA179546 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C. · 2013 to 2017
$18.7M
Using Eye Tracking to Understand and Improve Graphic Warning Label EffectivenessR01CA180929 · NCI · UNIVERSITY OF PENNSYLVANIA · PI STRASSER, ANDREW A · 2013 to 2016
$1.8M
Laboratory-based Approaches to Understanding the Impact of Low Nicotine Content Cigarette Marketing on Young AdultsK07CA218366 · NCI · UNIVERSITY OF PENNSYLVANIA · PI MERCINCAVAGE, MELISSA · 2018 to 2022
$767k
NCI NIH HHS K07 CA218366NCI NIH HHS P50 CA179546NCI NIH HHS R01 CA180929
6 · The paper itself

Abstract

objectivesIn this study, we sought to determine how smokers allocate their attention when viewing the 9 cigarette pictorial warning labels (PWLs) proposed by the Food and Drug Administration (FDA), and identify PWL attributes associated with increased attention.

methodsUsing eye-tracking data from an exploratory within-subject study, we examined smokers' attention (latency, latency duration, and dwell time) to areas of interest (image vs textual warning) for each PWL among 95 daily, non-treatment-seeking smokers (62.1% male, 48.4% white, mean [SD] age = 32.98 [10.14], mean [SD] cigarettes/day = 15.51 [8.43]). We also compared attention measures by PWL message congruency, textual warning location, and participant rankings of effectiveness.

resultsAttention measures differed significantly among PWLs (p

conclusionsSmokers allocated their attention differently across PWLs. Formats and participant effectiveness rankings of PWLs were associated with visual attention patterns, suggesting the importance of these features to the design of potential future PWLs.

Indexed as

cigarettecongruencyeye-trackinghealth warninglabelinglaboratory methods

Identifiers

PMID30775412
PMCPMC6374036

What OpenQuestion holds

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Registered trials

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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.