Evidence map›Paper›PMID 35911223›Full record

ArticleFrontiers in psychiatry2022

Effectiveness of Mental Health Warnings on Tobacco Packaging in People With and Without Common Mental Health Conditions: An Online Randomised Experiment.

Katherine Sawyer, Chloe Burke, Ronnie Long Yee Ng, Tom P Freeman, Sally Adams, Gemma Taylor

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Trial
  2. 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

6 authors at 2 institutions in 1 country.

Katherine SawyerAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, United Kingdom.
Chloe BurkeAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, United Kingdom.
Ronnie Long Yee NgAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, United Kingdom.
Tom P FreemanAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, United Kingdom.
Sally AdamsInstitute for Mental Health, University of Birmingham, Birmingham, United Kingdom.
Gemma TaylorAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, United Kingdom.
University of Bath · GBUniversity of Birmingham · GB

Funding

Cancer Research UK 21330
6 · The paper itself

Abstract

Background: Health warning labels on tobacco packaging are a cost-effective means of health risk communication. However, while an extensive range of physical health risks are well-portrayed Aims: (i) develop novel mental health warning labels for tobacco packaging and (ii) test perceptions of these warnings in smokers and non-smokers, with and without mental health problems. Methods: Six mental health warning labels were developed with a consultancy focus group. These warning labels were tested in an online randomised experiment, where respondents ( Results: MHWLs were perceived as low to moderately effective (mean = 4.02, SD = 2.40), but less effective than PHWLs (mean = 5.78, SD = 2.55, Conclusion: MHWLs could be an effective means to communicate novel information about the effects of smoking on mental health. MHWLs are perceived as less effective, believable, arousing, unpleasant, and acceptable than PHWLs, but MHWLs evoke more reactance and are rated as more novel.

Indexed as

mental healthsmokingsurveytobacco controltobacco warning labels

Identifiers

PMID35911223
PMCPMC9331922
OpenAlexW4285389846

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.