Evidence map›Paper›PMID 35110215›Full record

ArticleTurkish thoracic journal2021

Perceptions of Students of a Medical School on Combined Health Warnings in Plain Packs.

Yesim Yasin, Nilufer Aykac

Open access · greenAbstract read
In one paragraph

Article in Turkish thoracic journal, 2021. 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, top 84% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Yesim YasinDepartment of Public Health, Acıbadem Mehmet Ali Aydınlar University, Faculty of Medicine, İstanbul, Turkey.
Nilufer AykacDepartment of Pulmonary Medicine, Gayrettepe Florence Nightingale Hospital, İstanbul, Turkey.
Istanbul Florence Nightingale Hospital · TRKent Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTurkey has recently adopted the regulation of plain and standard packaging for tobacco products and introduced newly designed combined health warnings. In this study, we aimed to reveal how the new combined health warnings are perceived among medical students. MATERIAL AND

methodsThe study was descriptive and the data were collected by a 3-part questionnaire. The first part covered demographic characteristics, the second part was designed to measure the saliency of the combined health warnings, and the third part evaluated their effect on the motivation to quit.

resultsOut of 484 students of medicine, 287 (59%) were included in the study; 54.4% of the participants were female and 45.6% were male; and the average age was 21.18 ± 1.94 years. There were 79 (27.5%) smokers and the mean duration of smoking was 39.07 ± 24.07 months. The combined health warning that reads "Smoking causes laryngeal cancer" had the highest score both in terms of saliency and motivation to quit smoking. The one that reads "Protect children: don't let them inhale your smoke" had the lowest score in both categories. Non-smokers found the stimuli more effective than smokers and quitters (P > .05).

conclusionThe findings point out that smoking rate is unexpectedly high among participants, and medical students perceived the warnings emphasizing the physical deformities caused by tobacco products on individuals as more effective than combined health warnings aimed at protecting "others." This study suggests that the combined health warnings should be selected in a more nuanced way for different target groups.

Identifiers

PMID35110215
PMCPMC8975342
OpenAlexW3206262628

What OpenQuestion holds

Textmetadata
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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.