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- Potential Misclassification of Adults Who Vape Cannabis as Adults Who Vape Nicotine and their Associated Sociodemographic and Smoking Characteristics: Results from Wave 5 of the Population Assessment of Tobacco and Health (PATH) Study.
Survey confusion: 9% of vape users missed due to cannabis mix-up
Potential Misclassification of Adults Who Vape Cannabis as Adults Who Vape Nicotine and their Associated Sociodemographic and Smoking Characteristics: Results from Wave 5 of the Population Assessment of Tobacco and Health (PATH) Study.
AI Summary
Survey researchers face a critical challenge when measuring cannabis and nicotine vaping: the devices look identical, creating significant misclassification errors in public health data. This study analyzed data from nearly 6,000 adults in the Population Assessment of Tobacco and Health (PATH) Study who reported using electronic nicotine products (ENPs), and found that 9.1% stated they vaped cannabis "every time" with these devices. When researchers excluded this group of daily cannabis vapers from the standard nicotine vaping statistics, the overall prevalence of ENP use dropped from 8.9% to 7.7%, demonstrating how mixing these behaviors can significantly distort national health statistics.
The misclassification wasn't uniform across all populations—certain groups were much more likely to vape cannabis exclusively. Adults who did not smoke cigarettes were most likely to vape cannabis "every time" (11.4%), compared to former smokers (7.0%) and current smokers (8.3%). Additionally, people who consistently vaped cannabis with ENPs were more likely to be younger, identify as LGBTQ+, and be Black or Hispanic. This variation in misclassification by demographic group is particularly concerning because it means some populations' behaviors are being systematically misrepresented in national surveys.
The practical implication is clear: current survey methods cannot reliably distinguish between nicotine vaping and cannabis vaping, leading to potentially inflated estimates of nicotine use while underrepresenting cannabis consumption. For public health officials, this creates blind spots in understanding actual substance use patterns. For researchers studying cannabis effects or tobacco control policies, it means existing survey data may be unreliable without careful re-analysis that accounts for cannabis use among survey respondents.
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