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Effectiveness of Text-Only Cigarette Health Warnings in Japan: Findings from the 2018 International Tobacco Control (ITC) Japan Survey

Health warnings are an effective strategy for communicating the health harms of smoking, encouraging quitting, and preventing smoking initiation. This study examines the effectiveness of existing text-only health warnings, identifies key predictors of warning effectiveness, and assesses support for...

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Autores principales: Chung-Hall, Janet, Fong, Geoffrey T., Meng, Gang, Yan, Mi, Tabuchi, Takahiro, Yoshimi, Itsuro, Mochizuki, Yumiko, Craig, Lorraine V., Ouimet, Janine, Quah, Anne C. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036893/
https://www.ncbi.nlm.nih.gov/pubmed/32033056
http://dx.doi.org/10.3390/ijerph17030952
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author Chung-Hall, Janet
Fong, Geoffrey T.
Meng, Gang
Yan, Mi
Tabuchi, Takahiro
Yoshimi, Itsuro
Mochizuki, Yumiko
Craig, Lorraine V.
Ouimet, Janine
Quah, Anne C. K.
author_facet Chung-Hall, Janet
Fong, Geoffrey T.
Meng, Gang
Yan, Mi
Tabuchi, Takahiro
Yoshimi, Itsuro
Mochizuki, Yumiko
Craig, Lorraine V.
Ouimet, Janine
Quah, Anne C. K.
author_sort Chung-Hall, Janet
collection PubMed
description Health warnings are an effective strategy for communicating the health harms of smoking, encouraging quitting, and preventing smoking initiation. This study examines the effectiveness of existing text-only health warnings, identifies key predictors of warning effectiveness, and assesses support for pictorial warnings in Japan. Data are from the 2018 International Tobacco Control (ITC) Japan Survey, a cohort survey of adult cigarette smokers (n = 3306), dual users of cigarettes and heated tobacco products (n = 555), and non-cigarette smokers (n = 823). Weighted multivariable logistic regression models were used to assess predictors of warning effectiveness and support for pictorial warnings. Overall, 15.6% of respondents noticed warnings, and 7.9% read or looked closely at warnings. Overall, 10.3% of smokers and dual users said the warnings stopped them from having a cigarette, and 7.2% avoided warnings. Overall, 27.5% of respondents said the warnings made them think about health risks of smoking, but only 2.7% of smokers and dual users said the warnings made them more likely to quit. Overall, 57.6% of respondents supported pictorial warnings. The weak effectiveness of Japan’s text-only warnings is consistent with that in other countries with similar warnings. There is majority support for pictorial warnings in Japan, although the level of support is lower than in other countries.
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spelling pubmed-70368932020-03-11 Effectiveness of Text-Only Cigarette Health Warnings in Japan: Findings from the 2018 International Tobacco Control (ITC) Japan Survey Chung-Hall, Janet Fong, Geoffrey T. Meng, Gang Yan, Mi Tabuchi, Takahiro Yoshimi, Itsuro Mochizuki, Yumiko Craig, Lorraine V. Ouimet, Janine Quah, Anne C. K. Int J Environ Res Public Health Article Health warnings are an effective strategy for communicating the health harms of smoking, encouraging quitting, and preventing smoking initiation. This study examines the effectiveness of existing text-only health warnings, identifies key predictors of warning effectiveness, and assesses support for pictorial warnings in Japan. Data are from the 2018 International Tobacco Control (ITC) Japan Survey, a cohort survey of adult cigarette smokers (n = 3306), dual users of cigarettes and heated tobacco products (n = 555), and non-cigarette smokers (n = 823). Weighted multivariable logistic regression models were used to assess predictors of warning effectiveness and support for pictorial warnings. Overall, 15.6% of respondents noticed warnings, and 7.9% read or looked closely at warnings. Overall, 10.3% of smokers and dual users said the warnings stopped them from having a cigarette, and 7.2% avoided warnings. Overall, 27.5% of respondents said the warnings made them think about health risks of smoking, but only 2.7% of smokers and dual users said the warnings made them more likely to quit. Overall, 57.6% of respondents supported pictorial warnings. The weak effectiveness of Japan’s text-only warnings is consistent with that in other countries with similar warnings. There is majority support for pictorial warnings in Japan, although the level of support is lower than in other countries. MDPI 2020-02-04 2020-02 /pmc/articles/PMC7036893/ /pubmed/32033056 http://dx.doi.org/10.3390/ijerph17030952 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chung-Hall, Janet
Fong, Geoffrey T.
Meng, Gang
Yan, Mi
Tabuchi, Takahiro
Yoshimi, Itsuro
Mochizuki, Yumiko
Craig, Lorraine V.
Ouimet, Janine
Quah, Anne C. K.
Effectiveness of Text-Only Cigarette Health Warnings in Japan: Findings from the 2018 International Tobacco Control (ITC) Japan Survey
title Effectiveness of Text-Only Cigarette Health Warnings in Japan: Findings from the 2018 International Tobacco Control (ITC) Japan Survey
title_full Effectiveness of Text-Only Cigarette Health Warnings in Japan: Findings from the 2018 International Tobacco Control (ITC) Japan Survey
title_fullStr Effectiveness of Text-Only Cigarette Health Warnings in Japan: Findings from the 2018 International Tobacco Control (ITC) Japan Survey
title_full_unstemmed Effectiveness of Text-Only Cigarette Health Warnings in Japan: Findings from the 2018 International Tobacco Control (ITC) Japan Survey
title_short Effectiveness of Text-Only Cigarette Health Warnings in Japan: Findings from the 2018 International Tobacco Control (ITC) Japan Survey
title_sort effectiveness of text-only cigarette health warnings in japan: findings from the 2018 international tobacco control (itc) japan survey
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036893/
https://www.ncbi.nlm.nih.gov/pubmed/32033056
http://dx.doi.org/10.3390/ijerph17030952
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