Jarman Kristen L, Kistler Christine E, Thrasher James F, Kowitt Sarah D, Ranney Leah M, Cornacchione Ross Jennifer, Chrzan Keith, Sheeran Paschal, Goldstein Adam O
Department of Family Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
BMJ Open. 2024 Dec 10;14(12):e088525. doi: 10.1136/bmjopen-2024-088525.
Little evidence exists on which cigar warning statement attributes may impact cigar warning effectiveness; research is needed to identify the most effective cigar warning topics and text. This study was designed to inform the development of improved cigar warnings.
We conducted a choice-based conjoint experiment. The experiment systematically manipulated cigar warning statement attributes, including cancer health effect (mention of colon cancer and/or oral cancer), non-cancer health effect (mention of heart disease and/or blood clots), causal language, warning marker word, verb use and tobacco type. Participants evaluated eight choice sets, each containing three cigar warnings with contrasting attributes, and chose the warnings that most and least encouraged them to quit smoking cigars. Using a Bayesian mixed logit model, we estimated the relative importance of each attribute and the attribute part-worth utility.
An online survey of adults in the USA.
We enrolled 959 US adults who used little cigars, cigarillos, or large cigars in the past 30 days using an online survey from October to December 2020.
The primary outcomes for the experiment are relative attribute importance and attribute part-worth utility.
The most important attributes to participant selection of warnings were the non-cancer and the cancer health effects (29.3%; 95%CI 28.6% to 30.0% and 29.0%; 95% CI 28.4% to 29.6%, respectively), followed by causal language (16.3%; 95% CI 15.7% to 16.8%), marker word (10.3%; 95% CI 9.9% to 10.7%), verb use (8.8%; 95% CI 8.5% to 9.2%) and tobacco type (6.3%, 95% CI 5.9% to 6.6%).
Our findings indicate that health effects are the most important attributes when designing cigar warning statements, but other attributes, like causal terminology, also influence perceived warning effectiveness. Based on our findings, 'DANGER: Tobacco causes heart disease and blood clots' is an example of a highly effective warning statement for cigars.
关于雪茄警示声明的哪些属性可能影响雪茄警示效果的证据很少;需要开展研究以确定最有效的雪茄警示主题和文本。本研究旨在为改进雪茄警示的制定提供信息。
我们进行了一项基于选择的联合实验。该实验系统地操控雪茄警示声明的属性,包括癌症健康影响(提及结肠癌和/或口腔癌)、非癌症健康影响(提及心脏病和/或血栓)、因果表述、警示标记词、动词使用和烟草类型。参与者评估了八个选择集,每个选择集包含三个具有不同属性的雪茄警示,并选择最能鼓励和最不能鼓励他们戒烟的警示。使用贝叶斯混合逻辑模型,我们估计了每个属性的相对重要性以及属性的部分价值效用。
对美国成年人进行的一项在线调查。
我们在2020年10月至12月通过在线调查招募了959名在过去30天内使用小雪茄、小雪茄烟或大雪茄的美国成年人。
该实验的主要结局是属性相对重要性和属性部分价值效用。
对参与者选择警示而言,最重要的属性是非癌症和癌症健康影响(分别为29.3%;95%置信区间28.6%至30.0%和29.0%;95%置信区间28.4%至29.6%),其次是因果表述(16.3%;95%置信区间15.7%至16.8%)、标记词(10.3%;95%置信区间9.9%至10.7%)、动词使用(8.8%;95%置信区间8.5%至9.2%)和烟草类型(6.3%,95%置信区间5.9%至6.6%)。
我们的研究结果表明,在设计雪茄警示声明时,健康影响是最重要的属性,但其他属性,如因果术语,也会影响感知到的警示效果。根据我们的研究结果,“危险:烟草会导致心脏病和血栓”是一个对雪茄而言非常有效的警示声明示例。