Dataset Information

Optimizing Warnings on E-Cigarette Advertisements.

ABSTRACT:

Introduction

We examined the effect of visual optimizations on warning text recall.

Methods

We used Amazon's Mechanical Turk to recruit 1854 young adult (18-34 years) electronic cigarette (e-cigarette) users or susceptible nonusers. We conducted a between-subjects 3 × 2 × 2 experiment to examine the influence of color (black text on white background [BW] vs. black on yellow [BY] vs. yellow on black [YB]), shape (rectangle vs. novel), and signal word (presence vs. absence of the word "warning"). We randomized participants to view one of 12 warnings on a fictional e-cigarette advertisement. We coded open-ended recall responses into three categories: (1) recalled nothing, (2) recalled something, (3) recalled the concept. We examined main effects on warning text recall using multinomial regression. We examined differences in attention, perceived message effectiveness, and appeal.

Results

Those exposed to BW or BY warnings were more likely than those exposed to YB to recall something (AOR = 1.6, AOR = 1.5, respectively) or the concept (OR = 1.4, BW). Those exposed to novel shape (44.7% novel vs. 37.9% rectangle; p = .003) or color (44.5% BY vs. 41.9% YB vs. 37.5% BW; p = .04) warnings were more likely to report attention to the warning. In aided recall, those exposed to the signal word were more likely than those not exposed to select the correct response (64.0% vs. 31.3%; p < .0001). We did not find differences for message effectiveness or appeal.

Conclusions

Visual optimizations such as color may influence warning text recall and should be considered for new warnings. Research should continue exploring variations for advertisement warnings to maximize attention to warning text.

Implications

This study examines the impact of visual optimizations on recall of the US Food and Drug Administration-mandated e-cigarette advertisement warning text. We found that color might influence warning text recall, but we did not find effects for shape or signal word. It is possible the newly mandated e-cigarette advertisement warnings, which are required to occupy at least 20% of the advertisement, are currently novel enough to attract attention. Future research should examine optimizations following implementation of the new advertisement warnings.

SUBMITTER: King JL

PROVIDER: S-EPMC7171273 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Publications

Optimizing Warnings on E-Cigarette Advertisements.

King Jessica L JL Lazard Allison A Reboussin Beth A BA Ranney Leah L Cornacchione Ross Jennifer J Wagoner Kimberly G KG Sutfin Erin L EL

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco 20200401 5

<h4>Introduction</h4>We examined the effect of visual optimizations on warning text recall.<h4>Methods</h4>We used Amazon's Mechanical Turk to recruit 1854 young adult (18-34 years) electronic cigarette (e-cigarette) users or susceptible nonusers. We conducted a between-subjects 3 × 2 × 2 experiment to examine the influence of color (black text on white background [BW] vs. black on yellow [BY] vs. yellow on black [YB]), shape (rectangle vs. novel), and signal word (presence vs. absence of the wo ...[more]

PMID: 31132095

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Dataset Information

Optimizing Warnings on E-Cigarette Advertisements.

Introduction

Methods

Results

Conclusions

Implications

Publications

Optimizing Warnings on E-Cigarette Advertisements.

Similar Datasets

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