scholarly journals Characterizing alternative and emerging tobacco product transition of use behavior on Twitter

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Cortni Bardier ◽  
Joshua S. Yang ◽  
Jiawei Li ◽  
Tim K. Mackey
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Tobacco Product ◽  
Knowledge Use ◽  
Tobacco Products ◽  
Product Use ◽  
Using Data ◽  
Use Behavior ◽  
Product Promotion

Abstract Objective The objective of this study was to develop an inductive coding approach specific to characterizing user-generated social media conversations about transition of use of different tobacco and alternative and emerging tobacco products (ATPs). Results A total of 40,206 tweets were collected from the Twitter public API stream that were geocoded from 2018 to 2019. Using data mining approaches, these tweets were then filtered for keywords associated with tobacco and ATP use behavior. This resulted in a subset of 5718 tweets, with 657 manually annotated and identified as associated with user-generated conversations about tobacco and ATP use behavior. The 657 tweets were coded into 9 parent codes: inquiry, interaction, observation, opinion, promote, reply, share knowledge, use characteristics, and transition of use behavior. The highest number of observations occurred under transition of use (43.38%, n = 285), followed by current use (39.27%, n = 258), opinions about use (0.07%, n = 46), and product promotion (0.06%, n = 37). Other codes had less than ten tweets that discussed these themes. Results provide early insights into how social media users discuss topics related to transition of use and their experiences with different and emerging tobacco product use behavior.

scholarly journals Characterizing Alternative and Emerging Tobacco Product Transition of Use Behavior on Twitter

2021 ◽  
Author(s):  
Cortni Bardier ◽  
Joshua S. Yang ◽  
Jiawei Li ◽  
Tim Ken Mackey
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Tobacco Product ◽  
Knowledge Use ◽  
Tobacco Products ◽  
Product Use ◽  
Using Data ◽  
Use Behavior ◽  
Product Promotion

Abstract Objective: The objective of this study was to develop an inductive coding approach specific to characterizing user-generated social media conversations about transition of use of different tobacco and alternative and emerging tobacco products (ATPs). Results: A total of 40,206 tweets were collected from the Twitter public API stream that were geocoded from 2018-2019. Using data mining approaches, these tweets were then filtered for keywords associated with tobacco and ATP use behavior. This resulted in a subset of 5,718 tweets, with 657 manually annotated and identified as associated with user-generated conversations about tobacco and ATP use behavior. The 657 tweets were coded into 9 parent codes: inquiry, interaction, observation, opinion, promote, reply, share knowledge, use characteristics, and transition of use behavior. The highest number of observations occurred under transition of use (43.38%, n=285), followed by current use (39.27%, n=258), opinions about use (0.07%, n=46), and product promotion (0.06%, n=37). Other codes had less than ten tweets that discussed these themes. Results provide early insights into how social media users discuss topics related to transition of use and their experiences with different and emerging tobacco product use behavior.

scholarly journals Polytobacco product use among current cigarette smokers in Hong Kong, China: results from population surveys (2015–17)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
S. L. Chau ◽  
M. P. Wang ◽  
Y. Wu ◽  
D. Y. T. Cheung ◽  
A. Kong ◽  
...  
Keyword(s):  
Control Policy ◽  
Tobacco Product ◽  
Cigarette Use ◽  
Related Factors ◽  
Cigarette Smokers ◽  
Tobacco Products ◽  
Product Use ◽  
Younger Age ◽  
Current Cigarette ◽  
Age And Sex

Abstract Background Polytobacco product use is increasingly popular, but little is known about the prevalence, trend, and factors of such use particularly in non-western countries. Method A representative sample of 1139 current cigarette smokers aged 15+ (84.1% male) were telephone interviewed in Tobacco Control Policy-related Surveys in 2015–2017. Information collected included poly-tobacco use (PTU), smoking and socio-demographic characteristics. Associations of current PTU with related factors were analyzed using logistic regression with adjustment for confounders. Prevalence was weighted by age and sex of current cigarette users in the general population. Results Eighty-four point one percent (95% CI 81.4–86.6%) were exclusive cigarette smokers. Fifteen point nine percent (13.4–18.6%) were current polytobacco product users, 12.3% (10.2–14.8%) used one tobacco product and 2.52% (1.59–3.97%) used two tobacco products in addition to cigarette. Cigarette use with cigar was more common (6.28%, 4.75–8.27%), and the least used product with cigarette was e-cigarette (1.05%, 0.44–2.50%). The changes in overall prevalence of PTU by number of products use varied in 3 years. Current PTU was associated with being male (AOR 2.01, 95% CI 1.12–3.61), younger age (AORs range from 1.34–4.65, P for trend < .001) and less ready to quit (2.08, 1.09–3.97). Conclusions Prevalence of PTU increased slowly by year, one tobacco product use with cigarette was more common. The most used tobacco product with cigarette was cigar. Being male, younger and less ready to quit were associated with current PTU.

scholarly journals Not Quite the Rule, But No Longer the Exception: Multiple Tobacco Product Use and Implications for Treatment, Research, and Regulation

2019 ◽  
Vol 22 (11) ◽  
pp. 2114-2117
Author(s):  
Lauren R Pacek ◽  
Andrea C Villanti ◽  
F Joseph Mcclernon
Keyword(s):  
United States ◽  
Cigarette Smoking ◽  
Tobacco Dependence ◽  
The United States ◽  
Tobacco Product ◽  
Regulatory Science ◽  
Tobacco Products ◽  
The Past ◽  
Product Use ◽  
Treatment Research

Abstract The patterns of tobacco product use in the United States have changed during the past several decades. Currently, a large proportion of tobacco users report using multiple tobacco products (MTPs). The prevalence of MTP use varies significantly by cigarette smoking frequency, as well: nearly half (46.9%) of all non-daily smokers report using other tobacco products within the past 30 days. Despite this, much of extant tobacco dependence treatment efforts, tobacco regulatory science research, and tobacco product research, in general, has focused largely on single product use (ie, cigarette smoking). To effectively design interventions and model the potential impact of regulations on tobacco products aimed at reducing tobacco use, as well as effectively study tobacco users, it is essential to consider actual use patterns in the population of tobacco users. Implications: MTP use is increasingly common in the United States. This commentary highlights the impact that MTP use has for efforts to treat tobacco dependence, tobacco regulatory science efforts, as well as on tobacco research, in general.

scholarly journals Sentiment Analysis and Summarization of Social Media Content using Topic Modeling

2020 ◽  
Vol 9 (3) ◽  
pp. 209-212
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Sentiment Analysis ◽  
Topic Modeling ◽  
Opinion Mining ◽  
Text Documents ◽  
Topic Identification ◽  
Key Factor ◽  
Polarity Classification ◽  
Using Data

Explosion of Web 2.0 had made different social media platforms like Facebook, Twitter, Blogs, etc a data hub for the task of Data Mining. Sentiment Analysis or Opinion mining is an automated process of understanding an opinion expressed by customers. By using Data mining techniques, sentiment analysis helps in determining the polarity (Positive, Negative & Neutral) of views expressed by the end user. Nowadays there are terabytes of data available related to any topic then it can be advertising, politics and Survey Companies, etc. CSAT (Customer Satisfaction) is the key factor for this survey companies. In this paper, we used topic modeling by incorporating a LDA algorithm for finding the topics related to social media. We have used datasets of 900 records for analysis. By analysis, we found three important topics from Survey/Response dataset, which are Customers, Agents & Product/Services. Results depict the CSAT score according to Positive, Negative and Neutral response. We used topic modeling which is a statistical modeling technique. Topic modeling is a technique for categorization of text documents into different topics. This approach helps in better summarization of data according to the topic identification and depiction of polarity classification of sentiments expressed.

scholarly journals Combustible cigarettes, heated tobacco products, combined product use, and periodontal disease: A cross-sectional JASTIS study

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248989
Author(s):  
Takashi Yoshioka ◽  
Takahiro Tabuchi
Keyword(s):  
Periodontal Disease ◽  
Primary Outcome ◽  
Periodontal Diseases ◽  
Cross Sectional Study ◽  
Tobacco Product ◽  
Internet Survey ◽  
Cross Sectional ◽  
Product Use ◽  
Using Data ◽  
Prevalence Ratios

Background Combustible cigarettes have detrimental effects on periodontal disease. However, little evidence is available regarding new heated tobacco product (HTP) use and combined product use (both combustible cigarettes and HTPs). This study aimed to examine the association of combustible cigarettes, HTPs, and combined product use with periodontal disease simultaneously. Materials and methods This cross-sectional study was conducted using data from the 2019 arm of the longitudinal Japan “Society and New Tobacco” Internet Survey. Combustible cigarette users, HTP users, combined product users, never-users, and former users’ data were separately obtained. In the present study, the primary outcome was self-reported periodontal disease. We estimated adjusted prevalence ratios (PRs) and confidence intervals (CIs) using multivariable modified Poisson regression analysis after adjusting for 12 confounders. Results Of the 10,439 JASTIS respondents, the numbers of users of combustible cigarettes only, HTPs only, and both products were 1,304, 437, and 1,049, respectively. Compared with never-users, HTP use was significantly associated with the prevalence of self-reported periodontal diseases (PR 1.43, 95% CI 1.03–1.62). Moreover, former users, combustible cigarette users, and combined product users also showed significant associations (PR 1.56, 95% CI 1.35–1.80; PR 1.29, 95% CI 1.03–1.62; and PR 1.55, 95% CI 1.20–1.99, respectively). Conclusions Users of HTPs, combustible cigarettes, and combined products as well as former users were all significantly associated with a higher prevalence of periodontal diseases compared to never-users.

scholarly journals Mining on Social Media Data: To Determine the Personality of Unrevealed Person

2019 ◽  
Vol 8 (4) ◽  
pp. 8574-8577
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Information Mining ◽  
Social Media Data ◽  
Data Mining Techniques ◽  
Network Discovery ◽  
The Social ◽  
Mining Methods ◽  
Using Data ◽  
Media Data

The unavoidable utilization of online networking like Facebook is giving exceptional measures of social information. Information mining methods have been broadly used to separate learning from such information. The character of the person is predicted whether he is good or not by using data mining techniques from user self-made data. Mining methods are being broadly using to separate learning from such information, main examples for them are network discovery and slant investigation. Notwithstanding, there is still a lot of room to investigate as far as the occasion information (i.e., occasions with timestamps, for example, posting an inquiry, altering an article in Wikipedia, and remarking on a tweet. These occasions react users' personal conduct standards and working forms in the social media websites.

scholarly journals Use of heat-not-burn tobacco products, moderate alcohol drinking, and anti-SARS-CoV-2 IgG antibody titers after BNT162b2 vaccination among Japanese healthcare workers

2021 ◽  
Author(s):  
Shohei Yamamoto ◽  
Akihito Tanaka ◽  
Norio Ohmagari ◽  
Koushi Yamaguchi ◽  
Kazue Ishitsuka ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Drinking ◽  
Healthcare Workers ◽  
Smoking Status ◽  
Geometric Mean ◽  
Tobacco Product ◽  
Igg Antibody ◽  
Tobacco Products ◽  
Product Use ◽  
Antibody Titers

Background: The effect of heat–not–burn (HNB) tobacco product use and moderate alcohol drinking on immunogenicity to coronavirus disease (COVID–19) vaccines remain elusive. This study aimed to examine the association of tobacco product use and alcohol consumption with anti–SARS–CoV–2 spike IgG antibody titers after the BNT162b2 vaccine. Methods: Participants were 3,457 fully vaccinated healthcare workers in the 4 national centers for advanced medical and research in Japan. Smoking status and alcohol consumption were assessed via a questionnaire, and anti–SARS–CoV–2 spike IgG titers were measured by chemiluminescent enzyme immunoassay using serum collected on the median of 64 days after the second vaccination. Multilevel linear regression models were used to estimate the geometric mean titers (GMT) and the ratios of means (RoM) between groups. Results: Of vaccinated participants, 99.5% (3,440/3,457) were seropositive. Compared with never-smokers (GMT=119), IgG antibody titers were significantly lower among HNB tobacco users (including those who also smoked cigarettes) (GMT=105; RoM=0.88 [95%CI: 0.78–0.99]) and exclusive cigarettes smokers (GMT=96; RoM=0.81 [95%CI: 0.71–0.92]). Compared with non-drinkers of alcohol (GMT=123), alcohol drinkers consuming <1 go/day (GMT=114; RoM=0.93 [95%CI: 0.88–0.98]), 1–1.9 go/day (GMT=105; RoM=0.85 [95%CI: 0.79–0.93]), and ≥2 go/day (GMT=101; RoM=0.82 [95%CI: 0.72–0.94]) had significantly lower antibody titers (P for trend<0.01). Spline analysis showed a large reduction of antibody until around 1 go/day of alcohol consumption, and then they gradually decreased. Conclusions: Results suggest that in addition to conventional cigarette smoking and heavy alcohol drinking, use of HNB tobacco products and moderate alcohol drinking may be predictors of lower immunological response to COVID–19 vaccine.

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