Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, 90032, USA.
Int J Environ Res Public Health. 2019 Aug 23;16(17):3056. doi: 10.3390/ijerph16173056.
: Emerging evidence suggests that exposure to secondhand and thirdhand aerosol from electronic cigarettes may have serious health risks including respiratory and cardiovascular diseases. Social media data can help identify common locations referenced in vaping-related discussions and offer clues about where individuals vape. These insights can strengthen current tobacco regulations and prioritize new policies to improve public health. This study identified commonly referenced locations in vaping-related discussions on Twitter in 2018. : Vaping-related posts to Twitter were obtained from 1 January 2018 to 31 December 2018. Rule-based classifiers categorized each Twitter post into 11 location-related categories (social venues, living spaces, stores, modes of transportation, schools, workplaces, healthcare offices, eateries, correctional facilities, religious institutions, and miscellaneous) using a data dictionary of location-related keywords ( = 290,816). : The most prevalent category was social venues (17.9%), followed by living spaces (16.7%), stores (15.9%), modes of transportation (15.5%), schools (14.9%), and workplaces (11.9%). Other categories pertained to: healthcare offices (2.0%), eateries (1.2%), correctional facilities (0.7%), and religious institutions (0.4%). : This study suggests that locations related to socialization venues may be priority areas for future surveillance and enforcement of smoke-free air policies. Similarly, development and enforcement of similar policies at workplaces, schools and multi-unit housing may curb exposure to secondhand and thirdhand aerosol among the public.
越来越多的证据表明,接触电子烟二手和三手气溶胶可能会带来严重的健康风险,包括呼吸道和心血管疾病。社交媒体数据可以帮助识别与 vaping 相关讨论中经常提到的地点,并提供有关个人 vaping 地点的线索。这些信息可以加强现有的烟草法规,并优先制定新政策以改善公共健康。本研究确定了 2018 年 Twitter 上与 vaping 相关讨论中经常提到的地点。
从 2018 年 1 月 1 日至 12 月 31 日,从 Twitter 上获取了与 vaping 相关的帖子。基于规则的分类器使用包含地点相关关键字的数据字典(= 290816),将每条 Twitter 帖子分类为 11 个地点相关类别(社交场所、居住空间、商店、交通工具、学校、工作场所、医疗保健办公室、餐馆、惩教设施、宗教场所和杂项)。
最常见的类别是社交场所(17.9%),其次是居住空间(16.7%)、商店(15.9%)、交通工具(15.5%)、学校(14.9%)和工作场所(11.9%)。其他类别包括:医疗保健办公室(2.0%)、餐馆(1.2%)、惩教设施(0.7%)和宗教场所(0.4%)。
本研究表明,与社交场所相关的地点可能是未来监测和执行无烟空气政策的优先领域。同样,在工作场所、学校和多户住宅制定和执行类似政策,也可能遏制公众接触二手和三手气溶胶。