Evidence map›Paper›PMID 41699783›Full record

ArticleSubstance use & misuse2026

Exploring #Zyn-Related Video Content Posted by Zynfluencers on TikTok.

Samia Amin, Wayne Buente, Jerel-Dayne Duque, Andrew Mettias, Sayed Mahmud Samiul Amin, Scott K Okamoto, Pallav Pokhrel

Abstract read
In one paragraph

Article in Substance use & misuse, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Samia AminPopulation Sciences Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, Hawai'i, USA.ORCID 0000-0001-9526-1606
Wayne BuenteSchool of Communication and Information, University of Hawai'i at Manoa, Honolulu, Hawai'i, USA.
Jerel-Dayne DuquePopulation Sciences Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, Hawai'i, USA.
Andrew MettiasPopulation Sciences Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, Hawai'i, USA.
Sayed Mahmud Samiul AminPopulation Sciences Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, Hawai'i, USA.
Scott K OkamotoPopulation Sciences Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, Hawai'i, USA.ORCID 0000-0003-0638-5354
Pallav PokhrelPopulation Sciences Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, Hawai'i, USA.ORCID 0000-0002-7906-0799

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Pallav Pokhrel · 1996 to 2026
$56.2M
Cancer Research Education, Advancement, Training and Empowerment (CREATE) in the PacificR25CA244073 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Joseph Keawe'aimoku Kaholokula, LENORA WM LOO · 2020 to 2026
$1.9M
NCI NIH HHS P30 CA071789NCI NIH HHS R25 CA244073
6 · The paper itself

Abstract

objectivesOral nicotine pouches such as Zyn have gained popularity, with marketing increasingly leveraging social media influencers. This study aimed to analyze the content and engagement metrics of TikTok videos tagged with #Zyn across different influencer types.

methodsA standardized inductive coding approach was used to analyze 130 TikTok videos tagged #Zyn, collected on February 16, 2024. Videos were categorized by macro (100,000-1 M followers), micro (1000-100,000 followers), and nano (<1000 followers) influencers. Content was evaluated for quality using the Global Quality Scale (GQS) and modified DISCERN scale. Three coders independently coded the videos and intercoder reliability was assessed using Cohen's kappa, achieving a value of 0.89. Themes analyzed included post origin, health messages, sponsorship and promotion, and personal stories or product insights.

resultsMacro influencers posted longer, higher quality videos and more frequently promoted Zyn as a safer alternative to other tobacco products. Micro-influencers demonstrated the highest engagement and were the only group offering promotional incentives. Nano influencers had the lowest quality scores but the highest use of memes. Health warnings were most frequent in micro and nano influencer content. Adverse health effects were mentioned across all influencer types, with micro-influencers reporting the widest variety.

conclusionThis study suggests that macro influencers can be utilized to deliver accurate health information about nicotine products, while micro and nano influencers can be strategically engaged to boost audience interaction and communicate health risks, thereby addressing a wider audience and potentially reducing the appeal and misuse of Zyn products.

Indexed as

MarketingSocial MediaVideo RecordingHumansNicotineNicotineoral nicotine pouchTik TokZynZynfluencers

Identifiers

PMID41699783
PMCPMC13167055

What OpenQuestion holds

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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.