Department of Psychology, West Virginia University, Morgantown, West Virginia, USA.
Department of Community Health and Health Behavior, University at Buffalo, Buffalo, New York, USA.
Subst Use Misuse. 2024;59(13):1990-1998. doi: 10.1080/10826084.2024.2392517. Epub 2024 Aug 19.
Self-reports of electronic cigarette (ECIG) device and liquid characteristics are not always accurate or consistent with characteristics as measured by researchers. Two methods for measuring ECIG characteristics were compared: user self-reports and rater-coded pictures.
Exclusive ECIG users ( = 321) reported on device (disposable, refillable, adjustable power, brand) and liquid (nicotine concentration, formulation, flavor) characteristics. To measure device type, they chose the term that best described their device ("cig-alike," "vape pen," "mod," "pod," "don't know") and the picture that best resembled their device (cig-alike, vape pen, box mod, USB-shaped pod, teardrop-shaped pod, none). Respondents uploaded device and liquid pictures, and independent raters coded these same features. Agreement between methods was examined with Cohen's kappa and intra-class correlations, including with "don't know" responses included and excluded from analyses.
Regardless of how "don't know" responses were treated, agreement was highest for disposable (95.3-97.7%), refillable (96.3%), adjustable power (83.6-88.7%), and brand (77.9-80.4%), and lower for nicotine concentration (72.7%), nicotine formulation (58.6-79.4%), and flavor (66.2%). For device type, agreement was moderate using both term-based (67.9-78.8%) and picture resemblance-based (71.7%) items. For terms, the greatest discrepancy was for devices classified as "vape pens" by self-reports; of these, 70.6% were classified as "pods" by raters. For picture resemblance, ∼13% of users reported that their device resembled none of the pictures; raters classified these devices as USB-shaped pods (50.0%) and mods (23.8%).
Self-reports may be sufficient for measuring some characteristics (brand, disposable, refillable, adjustable power), but not others (nicotine concentration and formulation, and some flavor).
电子烟(ECIG)设备和液体特性的自我报告并不总是准确或与研究人员测量的特性一致。本文比较了两种测量 ECIG 特性的方法:用户自我报告和评级者编码图片。
仅使用 ECIG 的用户( = 321)报告了设备(一次性、可再填充、可调功率、品牌)和液体(尼古丁浓度、配方、口味)特性。为了测量设备类型,他们选择了最能描述其设备的术语(“类似香烟”、“电子烟笔”、“模块”、“烟弹”、“不知道”)和最能代表其设备的图片(类似香烟、电子烟笔、盒式模块、USB 形状的烟弹、泪滴形状的烟弹、无)。受访者上传了设备和液体图片,独立的评级者对这些图片进行了编码。使用 Cohen's kappa 和组内相关系数检验了两种方法之间的一致性,包括将“不知道”的反应纳入和排除分析。
无论如何处理“不知道”的反应,一次性(95.3-97.7%)、可再填充(96.3%)、可调功率(83.6-88.7%)和品牌(77.9-80.4%)的设备的一致性最高,而尼古丁浓度(72.7%)、尼古丁配方(58.6-79.4%)和口味(66.2%)的一致性较低。对于设备类型,使用基于术语(67.9-78.8%)和基于图片相似性(71.7%)的项目,一致性为中等。对于术语,最大的差异是自我报告中被归类为“电子烟笔”的设备;其中,70.6%被评级者归类为“烟弹”。对于图片相似性,约 13%的用户表示他们的设备与任何图片都不相似;评级者将这些设备归类为 USB 形状的烟弹(50.0%)和模块(23.8%)。
自我报告可能足以测量某些特性(品牌、一次性、可再填充、可调功率),但不足以测量其他特性(尼古丁浓度和配方,以及一些口味)。