Evidence map›Paper›PMID 36767263›Full record

ArticleInternational journal of environmental research and public health2023

E-Cigarette Retailers' Use of Instagram in New Zealand: A Content Analysis.

Lucy Hardie, Judith McCool, Becky Freeman

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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.

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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

3 authors.

Lucy HardieSchool of Population Health, University of Auckland, Auckland 1142, New Zealand.ORCID 0000-0002-5954-6089
Judith McCoolSchool of Population Health, University of Auckland, Auckland 1142, New Zealand.ORCID 0000-0001-6646-6661
Becky FreemanSchool of Public Health, The University of Sydney, Camperdown, NSW 2006, Australia.ORCID 0000-0002-2082-9612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

E-cigarette companies claim their products are key to improving health outcomes by providing smokers with lower-risk alternatives. However, the rapid uptake of e-cigarettes among young people has prompted concern about company marketing practices. In 2019, there was no legislation to govern e-cigarette marketing in New Zealand. This period provides an ideal context for examining how e-cigarette companies promoted their products before the introduction of marketing regulations. We conducted a content analysis of the Instagram accounts of five prominent e-cigarette retailers based in New Zealand during 2019-2020. We assessed health- and risk-related claims and marketing techniques. Less than 10% of Instagram posts refer to smoking alternatives or risk of nicotine addiction. E-cigarette devices were more likely to be promoted for stylistic features such as colours and ease of use (29.7%). Music festival sponsorship (19.1%), social media influencers (9.2%), and lifestyle marketing (41.5%) were identified as youth-oriented promotional strategies. E-cigarette retailers claim to promote harm-reduction tools to smokers, yet this study finds few references to smoking alternatives in any content. Instead, retailers utilised strategies to engage with a young audience, including festival sponsorship and stylish influencers. This youth-oriented marketing, in combination with weak and delayed government action, may have contributed to the high use of e-cigarettes among young New Zealanders.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsAdolescentHumansMarketingNew ZealandSmokinge-cigarettessmokingsocial media

Identifiers

PMID36767263
PMCPMC9914635

What OpenQuestion holds

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LicenceCC BY
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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.