Evidence map›Paper›PMID 34842553›Full record

Observational studyJMIR public health and surveillance2021

Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study.

Yankun Gao, Zidian Xie, Li Sun, Chenliang Xu, Dongmei Li

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2021. 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
4.2field-weighted citation impact, top 6% of its field
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, 14 citations in OpenAlex.

  1. HPV Vaccine: An Effective but Underutilized Prevention Tool.International journal of environmental research and public health · 2025
    Article
  2. Article
  3. Characterizing Anti-Vaping Posts for Effective Communication on Instagram Using Multimodal Deep Learning.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  4. Article
  5. Characteristics Associated with Young Adults' Intentions to Engage with Anti-Vaping Instagram Posts.International journal of environmental research and public health · 2023
    Article
  6. Article
  7. Public Perceptions of Flavored Waterpipe Smoking on Twitter.International journal of environmental research and public health · 2023
    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

5 authors at 2 institutions in 1 country.

Yankun GaoDepartment of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.ORCID 0000-0002-0585-967X
Zidian XieDepartment of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.ORCID 0000-0002-5149-7710
Li SunDepartment of Computer Science, University of Rochester, Rochester, NY, United States.ORCID 0000-0001-7184-0232
Chenliang XuDepartment of Computer Science, University of Rochester, Rochester, NY, United States.ORCID 0000-0002-2183-822X
Dongmei LiDepartment of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.ORCID 0000-0001-9140-2483
University of Rochester Medical Center · USUniversity of Rochester · US

Funding

WNY Center for Research on Flavored Tobacco Products (CRoFT)U54CA228110 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI LI, DONGMEI · 2018 to 2022
$19.8M
NCI NIH HHS U54 CA228110
6 · The paper itself

Abstract

backgroundAlthough government agencies acknowledge that messages about the adverse health effects of e-cigarette use should be promoted on social media, effectively delivering those health messages is challenging. Instagram is one of the most popular social media platforms among US youth and young adults, and it has been used to educate the public about the potential harm of vaping through antivaping posts.

objectiveWe aim to analyze the characteristics of and user engagement with antivaping posts on Instagram to inform future message development and information delivery.

methodsA total of 11,322 Instagram posts were collected from November 18, 2019, to January 2, 2020, by using antivaping hashtags including #novape, #novaping, #stopvaping, #dontvape, #antivaping, #quitvaping, #antivape, #stopjuuling, #dontvapeonthepizza, and #escapethevape. Among those posts, 1025 posts were randomly selected and 500 antivaping posts were further identified by hand coding. The image type, image content, and account type of antivaping posts were hand coded, the text information in the caption was explored by topic modeling, and the user engagement of each category was compared.

resultsAnalyses found that antivaping images of the educational/warning type were the most common (253/500; 50.6%). The average likes of the educational/warning type (15 likes/post) were significantly lower than the catchphrase image type (these emphasized a slogan such as "athletesdontvape" in the image; 32.5 likes/post; P<.001). The majority of the antivaping posts contained the image content element text (n=332, 66.4%), followed by the image content element people/person (n=110, 22%). The images containing people/person elements (32.8 likes/post) had more likes than the images containing other elements (13.8-21.1 likes/post). The captions of the antivaping Instagram posts covered topics including "lung health," "teen vaping," "stop vaping," and "vaping death cases." Among the 500 antivaping Instagram posts, while most posts were from the antivaping community (n=177, 35.4%) and personal account types (n=182, 36.4%), the antivaping community account type had the highest average number of posts (1.69 posts/account). However, there was no difference in the number of likes among different account types.

conclusionsMultiple features of antivaping Instagram posts may be related to user engagement and perception. This study identified the critical elements associated with high user engagement, which could be used to design antivaping posts to deliver health-related information more efficiently.

Indexed as

Electronic Nicotine Delivery SystemsSocial MediaVapingAdolescentEmotionsHumansYoung Adultanti-vapingcontent analysise-cigarettesInstagramlung healthpublic healthsocial mediauser engagementvaping

Identifiers

PMID34842553
PMCPMC8663537
OpenAlexW3198065246

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.