12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses

      brief-report

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction: College-aged youth are active on social media yet smoking-related social media engagement in these populations has not been thoroughly investigated. We sought to conduct an exploratory infoveillance study focused on geolocated data to characterize smoking-related tweets originating from California 4-year colleges on Twitter.

          Methods: Tweets from 2015 to 2019 with geospatial coordinates in CA college campuses containing smoking-related keywords were collected from the Twitter API stream and manually annotated for discussions about smoking product type, sentiment, and behavior.

          Results: Out of all tweets detected with smoking-related behavior, 46.7% related to tobacco use, 50.0% to marijuana, and 7.3% to vaping. Of these tweets, 46.1% reported first-person use or second-hand observation of smoking behavior. Out of 962 tweets with user sentiment, the majority (67.6%) were positive, ranging from 55.0% for California State University, Long Beach to 95.8% for California State University, Los Angeles.

          Discussion: We detected reporting of first- and second-hand smoking behavior on CA college campuses representing possible violation of campus smoking bans. The majority of tweets expressed positive sentiment about smoking behaviors, though there was appreciable variability between college campuses. This suggests that anti-smoking outreach should be tailored to the unique student populations of these college communities.

          Conclusion: Among tweets about smoking from California colleges, high levels of positive sentiment suggest that the campus climate may be less receptive to anti-smoking messages or adherence to campus smoking bans. Further research should investigate the degree to which this varies by campuses over time and following implementation of bans including validating using other sources of data.

          Related collections

          Most cited references49

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet

          (2009)
          Infodemiology can be defined as the science of distribution and determinants of information in an electronic medium, specifically the Internet, or in a population, with the ultimate aim to inform public health and public policy. Infodemiology data can be collected and analyzed in near real time. Examples for infodemiology applications include: the analysis of queries from Internet search engines to predict disease outbreaks (eg. influenza); monitoring peoples' status updates on microblogs such as Twitter for syndromic surveillance; detecting and quantifying disparities in health information availability; identifying and monitoring of public health relevant publications on the Internet (eg. anti-vaccination sites, but also news articles or expert-curated outbreak reports); automated tools to measure information diffusion and knowledge translation, and tracking the effectiveness of health marketing campaigns. Moreover, analyzing how people search and navigate the Internet for health-related information, as well as how they communicate and share this information, can provide valuable insights into health-related behavior of populations. Seven years after the infodemiology concept was first introduced, this paper revisits the emerging fields of infodemiology and infoveillance and proposes an expanded framework, introducing some basic metrics such as information prevalence, concept occurrence ratios, and information incidence. The framework distinguishes supply-based applications (analyzing what is being published on the Internet, eg. on Web sites, newsgroups, blogs, microblogs and social media) from demand-based methods (search and navigation behavior), and further distinguishes passive from active infoveillance methods. Infodemiology metrics follow population health relevant events or predict them. Thus, these metrics and methods are potentially useful for public health practice and research, and should be further developed and standardized.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Tobacco Product Use and Associated Factors Among Middle and High School Students — 
United States, 2019

            Problem/Condition Tobacco use is the leading cause of preventable disease, disability, and death in the United States. Most tobacco product use begins during adolescence. In recent years, tobacco products have evolved to include various smoked, smokeless, and electronic products. Period Covered 2019. Description of System The National Youth Tobacco Survey (NYTS) is an annual, cross-sectional, school-based, self-administered survey of U.S. middle school (grades 6–8) and high school (grades 9–12) students. A three-stage cluster sampling procedure is used to generate a nationally representative sample of U.S. students attending public and private schools. NYTS is the only nationally representative survey of U.S. middle and high school students that focuses exclusively on tobacco use patterns and associated factors. NYTS is designed to provide national data on tobacco product use and has been conducted periodically during 1999–2009 and annually since 2011. Data from NYTS are used to support the design, implementation, and evaluation of comprehensive tobacco use prevention and control programs and to inform tobacco regulatory activities. Since its inception in 1999 through 2018, NYTS had been conducted via paper and pencil questionnaires. In 2019, NYTS for the first time was administered in schools using electronic data collection methods. CDC’s Office on Smoking and Health, in collaboration with the U.S. Food and Drug Administration’s (FDA’s) Center for Tobacco Products, analyzed data from the 2019 NYTS to assess tobacco product use patterns and associated factors among U.S. middle and high school students. Overall, 19,018 questionnaires were completed and weighted to represent approximately 27.0 million students. On the basis of self-reported grade level, this included 8,837 middle school questionnaires (11.9 million students) and 10,097 high school questionnaires (15.0 million students); 84 questionnaires with missing information on grade level were excluded from school-level analyses. Results In 2019, an estimated 53.3% of high school students (8.0 million) and 24.3% of middle school students (2.9 million) reported having ever tried a tobacco product. Current (past 30-day) use of a tobacco product (i.e., electronic cigarettes [e-cigarettes], cigarettes, cigars, smokeless tobacco, hookahs, pipe tobacco, and bidis [small brown cigarettes wrapped in a leaf]) was reported by 31.2% of high school students (4.7 million) and 12.5% of middle school students (1.5 million). E-cigarettes were the most commonly cited tobacco product currently used by 27.5% of high school students (4.1 million) and 10.5% of middle school students (1.2 million), followed in order by cigars, cigarettes, smokeless tobacco, hookahs, and pipe tobacco. Tobacco product use also varied by sex and race/ethnicity. Among current users of each tobacco product, the prevalence of frequent tobacco product use (on ≥20 days of the preceding 30 days) ranged from 16.8% of cigar smokers to 34.1% of smokeless tobacco product users. Among current users of each individual tobacco product, e-cigarettes were the most commonly used flavored tobacco product (68.8% of current e-cigarette users). Among students who reported ever having tried e-cigarettes, the three most commonly selected reasons for use were “I was curious about them” (55.3%), “friend or family member used them” (30.8%), and “they are available in flavors, such as mint, candy, fruit, or chocolate” (22.4%). Among never users of each individual tobacco product, curiosity and susceptibility (a construct that can help to identify future tobacco product experimentation or use) was highest for e-cigarettes (39.1% and 45.0%, respectively) and cigarettes (37.0% and 45.9%, respectively). Overall, 86.3% of students who reported contact with an assessed potential source of tobacco product advertisements or promotions (going to a convenience store, supermarket, or gas station; using the Internet; watching television or streaming services or going to the movies; or reading newspapers or magazines) reported exposure to marketing for any tobacco product; 69.3% reported exposure to e-cigarette marketing and 81.7% reported exposure to marketing for cigarettes or other tobacco products. Among all students, perceiving no harm or little harm from intermittent tobacco product use (use on some days but not every day) was 28.2% for e-cigarettes, 16.4% for hookahs, 11.5% for smokeless tobacco products, and 9.5% for cigarettes. Among current users of any tobacco product, 24.7% reported experiencing cravings to use tobacco products during the past 30 days and 13.7% reported wanting to use a tobacco product within 30 minutes of waking. Moreover, 57.8% of current tobacco product users reported they were seriously thinking about quitting the use of all tobacco products and 57.5% reported they had stopped using all tobacco products for ≥1 day because they were trying to quit. Interpretation In 2019, approximately one in four youths (23.0%) had used a tobacco product during the past 30 days. By school level, this represented approximately three in 10 high school students (31.2%) and approximately one in eight middle school students (12.5%). Since 2014, e-cigarettes have been the most commonly used tobacco product among youths. Importantly, more than half of current youth tobacco product users reported seriously thinking about quitting all tobacco products in 2019. However, established factors of use and initiation, including the availability of flavors, exposure to tobacco product marketing, curiosity and susceptibility, and misperceptions about harm from tobacco product use, remained prevalent in 2019 and continue to promote tobacco product use among youths. Public Health Action The continued monitoring of all forms of youth tobacco product use and associated factors through surveillance efforts including NYTS is important to the development of public health policy and action at national, state, and community levels. Everyone, including public health professionals, health care providers, policymakers, educators, parents, and others who influence youths, can help protect youths from the harms of all tobacco products. In addition, the comprehensive and sustained implementation of evidence-based tobacco control strategies, combined with FDA’s regulation of tobacco products, is important for reducing all forms of tobacco product use among U.S. youths.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Twitter as a Tool for Health Research: A Systematic Review

              Background. Researchers have used traditional databases to study public health for decades. Less is known about the use of social media data sources, such as Twitter, for this purpose. Objectives. To systematically review the use of Twitter in health research, define a taxonomy to describe Twitter use, and characterize the current state of Twitter in health research. Search methods. We performed a literature search in PubMed, Embase, Web of Science, Google Scholar, and CINAHL through September 2015. Selection criteria. We searched for peer-reviewed original research studies that primarily used Twitter for health research. Data collection and analysis. Two authors independently screened studies and abstracted data related to the approach to analysis of Twitter data, methodology used to study Twitter, and current state of Twitter research by evaluating time of publication, research topic, discussion of ethical concerns, and study funding source. Main results. Of 1110 unique health-related articles mentioning Twitter, 137 met eligibility criteria. The primary approaches for using Twitter in health research that constitute a new taxonomy were content analysis (56%; n = 77), surveillance (26%; n = 36), engagement (14%; n = 19), recruitment (7%; n = 9), intervention (7%; n = 9), and network analysis (4%; n = 5). These studies collectively analyzed more than 5 billion tweets primarily by using the Twitter application program interface. Of 38 potential data features describing tweets and Twitter users, 23 were reported in fewer than 4% of the articles. The Twitter-based studies in this review focused on a small subset of data elements including content analysis, geotags, and language. Most studies were published recently (33% in 2015). Public health (23%; n = 31) and infectious disease (20%; n = 28) were the research fields most commonly represented in the included studies. Approximately one third of the studies mentioned ethical board approval in their articles. Primary funding sources included federal (63%), university (13%), and foundation (6%). Conclusions. We identified a new taxonomy to describe Twitter use in health research with 6 categories. Many data elements discernible from a user’s Twitter profile, especially demographics, have been underreported in the literature and can provide new opportunities to characterize the users whose data are analyzed in these studies. Twitter-based health research is a growing field funded by a diversity of organizations. Public health implications. Future work should develop standardized reporting guidelines for health researchers who use Twitter and policies that address privacy and ethical concerns in social media research.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                13 April 2021
                2021
                : 9
                : 628812
                Affiliations
                [1] 1Department of Anesthesiology, San Diego School of Medicine, University of California, San Diego , San Diego, CA, United States
                [2] 2Global Health Policy and Data Institute , San Diego, CA, United States
                [3] 3S-3 Research , San Diego, CA, United States
                [4] 4Center for Humans and Machines, Max Planck Institute for Human Development , Berlin, Germany
                [5] 5Department of Public Health, California State University, Fullerton , Fullerton, CA, United States
                Author notes

                Edited by: Aek Palakorn Achananuparp, Singapore Management University, Singapore

                Reviewed by: Mike Conway, The University of Utah, United States; Jon-Patrick Allem, University of Southern California, United States

                *Correspondence: Raphael E. Cuomo racuomo@ 123456ucsd.edu

                This article was submitted to Digital Public Health, a section of the journal Frontiers in Public Health

                Article
                10.3389/fpubh.2021.628812
                8076505
                e67a05b2-8f08-4516-90d5-ad924ecb8af5
                Copyright © 2021 Cuomo, Purushothaman, Li, Bardier, Nali, Shah, Obradovich, Yang and Mackey.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 13 November 2020
                : 15 March 2021
                Page count
                Figures: 1, Tables: 3, Equations: 0, References: 50, Pages: 11, Words: 7778
                Funding
                Funded by: Tobacco-Related Disease Research Program 10.13039/100005188
                Award ID: T29IP0384
                Award ID: T29IP0465
                Categories
                Public Health
                Brief Research Report

                infoveillance,tobacco,twitter,surveillance,college,marijuana,vaping,policy

                Comments

                Comment on this article