Evidence map›Paper›PMID 41314800›Full record

ArticleTobacco control2025

Colour attributes in packaging of oral nicotine pouches: an artificial intelligence guided analysis.

Mahmood A Alalwan, Lauren Long, Elsa Alvarado, Aadeeba Kaareen, Elise M Stevens, Ce Shang, Megan E Roberts, Abigail B Shoben, Elizabeth G Klein, Zefeng Qiu and 1 more

Abstract read
In one paragraph

Article in Tobacco control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Mahmood A AlalwanCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA alalwan.2@osu.edu.ORCID http://orcid.org/0000-0001-6594-4107
Lauren LongCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.ORCID http://orcid.org/0009-0002-6812-8513
Elsa AlvaradoCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.
Aadeeba KaareenDepartment of Radiology, The University of New Mexico Hospital, Albuquerque, New Mexico, USA.
Elise M StevensDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.ORCID http://orcid.org/0000-0002-0494-4362
Ce ShangCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.ORCID http://orcid.org/0000-0002-8838-4250
Megan E RobertsCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.ORCID http://orcid.org/0000-0003-4743-2145
Abigail B ShobenDivision of Biostatistics, The Ohio State University College of Public Health, Columbus, Ohio, USA.ORCID http://orcid.org/0000-0001-9347-4755
Elizabeth G KleinDivision of Health Behavior and Health Promotion, The Ohio State University College of Public Health, Columbus, Ohio, USA.ORCID http://orcid.org/0000-0002-6895-4682
Zefeng QiuDepartment of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, USA.
Darren MaysCenter for Tobacco Research, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.ORCID http://orcid.org/0000-0002-6605-0743

Funding

The Ohio State University Tobacco Center of Regulatory Science (OSU-TCORS)U54CA287392 · NCI · OHIO STATE UNIVERSITY · PI Peter G. Shields, Theodore Lee Wagener · 2023 to 2026
$19.5M
NCI NIH HHS U54 CA287392
6 · The paper itself

Abstract

introductionThe tobacco industry uses package colour to convey product attributes, which can impact consumers' perceptions of products and circumvent policies designed to reduce their appeal. Using artificial intelligence (AI) guided analysis, our goal was to characterise package colour schemes for popular oral nicotine pouch (ONP) brands and examine if colour schemes are associated with ONP characteristics.

methodsWe used an AI-powered tool to analyse colour schemes of publicly available pack images of US ONP brands. We analysed pack images for the seven most popular ONP brands, and the most popular flavours and nicotine concentrations within brands, identified from US sales data (59 images total). We prompted the AI tool to provide colour scheme analysis and proportions (eg, proportion of colour).

resultsAll brands used specific colours to indicate specific flavours, such as blue for peppermint, green for wintergreen and other warm colours such as red for cinnamon and yellow for citrus. Some brands used lighter colour schemes representing lower nicotine concentration and darker colour schemes representing higher nicotine concentration. On!, Zeo, Zyn and Rogue used a mix of distinct and subtle colour scheme transitions to signify nicotine concentration. Other brands like Sesh, Velo and Zone maintained uniform designs across all nicotine concentrations.

conclusionsOur results suggest the colour scheme of some ONP packaging was designed to indicate the flavour and nicotine concentration. These characteristics may influence consumers' beliefs about ONPs, and appeal to different populations. AI tools can be valuable in the surveillance of those ONP packaging features.

Indexed as

NicotineNon-cigarette tobacco productsPackaging and Labelling

Identifiers

PMID41314800
PMCPMC13165467

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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.