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

机译:日本纯文字卷烟健康警告的有效性:2018年日本国际烟草控制(ITC)调查结果

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摘要

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.
机译:健康警告是传达吸烟对健康的危害,鼓励戒烟和预防吸烟的有效策略。这项研究检查了现有纯文字健康警告的有效性,确定了警告有效性的主要预测因素,并评估了日本对图形警告的支持。数据来自2018年日本国际烟草控制(ITC)调查,该研究针对成年吸烟者(n = 3306),卷烟和加热烟草制品的双重使用者(n = 555)和非卷烟吸烟者(n = 823)进行了队列研究。 )。加权多变量逻辑回归模型用于评估预警有效性的预测指标和对图形警告的支持。总体而言,有15.6%的受访者注意到警告,而7.9%的读者阅读或仔细阅读了警告。总体而言,有10.3%的吸烟者和双重使用者表示,警告使他们不再吸烟,而7.2%的人避免了警告。总体而言,有27.5%的受访者表示,警告使他们思考吸烟的健康风险,但只有2.7%的吸烟者和双重使用者表示,警告使他们更容易戒烟。总体而言,有57.6%的受访者支持图形警告。日本的纯文字警告的效力较弱,与其他类似警告的国家相同。尽管支持水平低于其他国家,但在日本,大多数人都支持图片警告。

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