scholarly journals Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis (Preprint)

2018 ◽  
Author(s):  
Jon-Patrick Allem ◽  
Likhit Dharmapuri ◽  
Adam M Leventhal ◽  
Jennifer B Unger ◽  
Tess Boley Cruz
Keyword(s):  
The United States ◽  
Abuse Liability ◽  
Polysubstance Use ◽  
Social Events ◽  
Other Substances ◽  
Text Classifiers ◽  
Twitter Account ◽  
Twitter Users ◽  
Use Behavior ◽  
Waterpipe Use

BACKGROUND Hookah (or tobacco waterpipe) use has recently become prevalent in the United States. The contexts and experiences associated with hookah use are unclear, yet such information is abundant via publicly available hookah users’ social media postings. OBJECTIVE In this study, we utilized Twitter data to characterize Twitter users’ recent experiences with hookah. METHODS Twitter posts containing the term “hookah” were obtained from April 1, 2017 to 29 March, 2018. Text classifiers were used to identify clusters of topics that tended to co-occur in posts (n=176,706). RESULTS The most prevalent topic cluster was Person Tagging (use of @username to tag another Twitter account in a post) at 21.58% (38,137/176,706) followed by Promotional or Social Events (eg, mentions of ladies’ nights, parties, etc) at 20.20% (35,701/176,706) and Appeal or Abuse Liability (eg, craving, enjoying hookah) at 18.12% (32,013/176,706). Additional topics included Hookah Use Behavior (eg, mentions of taking a “hit” of hookah) at 11.67% (20,603/176,706), Polysubstance Use (eg, hookah use along with other substances) at 10.95% (19,353/176,706), Buying or Selling (eg, buy, order, purchase, sell) at 9.37% (16,552/176,706), and Flavors (eg, mint, cinnamon, watermelon) at 1.66% (2927/176,706). The topic Dislike of Hookah (eg, hate, quit, dislike) was rare at 0.59% (1043/176,706). CONCLUSIONS Social events, appeal or abuse liability, flavors, and polysubstance use were the common contexts and experiences associated with Twitter discussions about hookah in 2017-2018. Considered in concert with traditional data sources about hookah, these results suggest that social events, appeal or abuse liability, flavors, and polysubstance use warrant consideration as targets in future surveillance, policy making, and interventions addressing hookah.

Pharmacologic and clinical assessment of kratom: An update

2019 ◽  
Vol 76 (23) ◽  
pp. 1915-1925 ◽  
Author(s):  
C Michael White
Keyword(s):  
Adverse Events ◽  
Drug Interactions ◽  
The United States ◽  
Abuse Liability ◽  
Mitragyna Speciosa ◽  
Other Substances ◽  
Cytochrome P 450 ◽  
Pharmacologic Profile ◽  
Withdrawal Signs ◽  
Substances Of Abuse

Abstract Purpose This article presents updated information on kratom (Mitragyna speciosa), a natural opioid with stimulant properties that is currently sold in the United States without a prescription. Summary Kratom exerts opioid and alpha-2 agonistic effects, as well as anti-inflammatory and mild stimulant effects. Respiratory depression has not been commonly reported, but kratom does cause a host of adverse effects. While kratom may have a role in patients who are in chronic pain or dependent on opioid painkillers or heroin, this needs to be established in clinical trials. Kratom may have drug interactions as both a cytochrome P-450 system substrate and inhibitor. Kratom does not appear in normal drug screens and, especially when ingested with other substances of abuse, may not be recognized as an agent of harm. There are numerous cases of death in kratom users, but many involved polypharmaceutical ingestions. There are assessments where people have been unable to stop using kratom therapy and withdrawal signs/symptoms occurred in patients or their newborn babies after kratom cessation. Both banning and failure to ban kratom places people at risk; a middle-ground alternative, placing it behind the pharmacy counter, might be useful. Conclusion Kratom has a unique pharmacologic profile that might offer advantages over other opioids, but its high abuse liability, potential for drug interactions and adverse events, and inadequate research into the balance of benefits to harm are concerning. There is mounting information on the adverse events associated with kratom use and potential treatments that can be useful to clinicians.

High-School Students Rarely Use E-Cigarettes Alone: A Sociodemographic Analysis of Polysubstance Use Among Adolescents in the United States

2020 ◽  
Author(s):  
Paul A Gilbert ◽  
Christine M Kava ◽  
Rima Afifi
Keyword(s):  
Substance Use ◽  
High School Students ◽  
The United States ◽  
Behavioral Risk ◽  
Sociodemographic Characteristics ◽  
Cigarette Use ◽  
School Students ◽  
Polysubstance Use ◽  
Other Substances ◽  
And Bisexual

Abstract Introduction Most adolescents reporting e-cigarette use have also used combustible tobacco; however, the extent to which they use other substances is less clear. This study assessed e-cigarette use with tobacco, alcohol, or cannabis and quantified the risk of polysubstance use among adolescents overall and by sociodemographic characteristics. Aims and Methods Using 2017 Youth Behavioral Risk Factor Surveillance System data from adolescents (grades 9–12) with complete substance use information (n = 11 244), we examined e-cigarette poly-use status (none [referent], e-cigarettes only, or e-cigarettes + other substances). We estimated the prevalence of substance use and modeled odds of e-cigarette use, alone or with other substances, by several sociodemographic characteristics. Analyses were completed in Stata version 15.1 using survey procedures to account for the complex survey design. Results Approximately 12% of adolescents reported past 30-day e-cigarette use. Almost all (93%) e-cigarette users also reported other substance use; alcohol appeared most frequently in combinations. Odds of e-cigarette single use and e-cigarette poly-use (vs. no use) were higher for males and adolescents with lower grades (odds ratios [ORs] = 1.44–2.31). Racial/ethnic minorities had lower odds of e-cigarette poly-use than White peers (ORs = 0.18–0.61), and bisexual (vs. straight) adolescents were more likely to be e-cigarette poly-users (OR = 1.62). E-cigarette use increased from 9th grade (7%) to 12th grade (16%). Conclusions Polysubstance use is highly prevalent among adolescents who use e-cigarettes. Therefore, e-cigarette screening should include the assessment of other substances, especially alcohol. Early and comprehensive prevention efforts to reduce e-cigarette and other substance use could have a substantial beneficial impact on population health over time. Implications This study extends knowledge about e-cigarette use among adolescents by exploring its use with alcohol, cannabis, and other tobacco products. We found that e-cigarettes were very rarely used alone, and our analysis identified several sociodemographic factors associated with greater odds of e-cigarette polysubstance use. In response, we recommend that prevention interventions address multiple substances concurrently, screen repeatedly to detect new initiation as age increases, focus on e-cigarette use as a less stigmatized entry point to discussions of substance use, and target priority population subgroups.

scholarly journals Positivity to Cocaine and/or Benzoylecgonine in Confirmation Analyses for On-Road Tests in Spain

2021 ◽  
Vol 18 (10) ◽  
pp. 5371
Author(s):  
Francisco Herrera-Gómez ◽  
Eduardo Gutiérrez-Abejón ◽  
Mercedes García-Mingo ◽  
F. Javier Álvarez
Keyword(s):  
Multivariate Regression ◽  
Real Life ◽  
Multivariate Logistic Regression Analysis ◽  
Regression Analyses ◽  
Multivariate Logistic Regression ◽  
Life Data ◽  
Polysubstance Use ◽  
Real Life Data ◽  
Other Substances ◽  
Positive Results

We are using real-life data in order to determine the prevalence of driving with the presence of cocaine and/or benzoylecgonine (BZE), their concentrations, and their use in combination with other drugs. This study assessed data on Spanish drivers with confirmed drug-positive results recorded by the Spanish National Traffic Agency from 2011–2016. Frequencies of positivity for cocaine and/or BZE and concentration of such substances were obtained. Comparisons and univariate and multivariate regression analyses were performed. Drivers who tested positive for cocaine and/or BZE accounted for 48.59% of the total positive results for drugs. In positive cases for both cocaine and BZE, other substances were detected in 81.74%: delta-9-tetrahydrocannabinol (THC) (68.19%), opioids (20.78%) and amphetamine-like substances (16.76%). In the multivariate logistic regression analysis, the frequency of cocaine and/or BZE positive cases decreased with age (OR:0.97) and were less likely among women (OR:0.63). Concentrations (ng/mL) of cocaine (249.30) and BZE (137.90) were higher when both substances were detected together than when detected alone. Positivity to cocaine represented an important proportion among Spanish drivers who tested positive for drugs, and polysubstance use was especially observed in more than 8 out of 10 positive cases for cocaine and/or BZE.

“I’m Not going to the f***ing White House”: Twitter Users React to Donald Trump and Megan Rapinoe

2020 ◽  
pp. 216747952095077
Author(s):  
Evan L. Frederick ◽  
Ann Pegoraro ◽  
Samuel Schmidt
Keyword(s):  
United States ◽  
Critical Race Theory ◽  
Black People ◽  
The United States ◽  
Critical Race ◽  
Race Theory ◽  
Donald Trump ◽  
White House ◽  
Twitter Users ◽  
Inductive Analysis

When asked if she would go to the White House if invited, Megan Rapinoe stated, “I’m not going to the fucking White House.” The next morning, President Donald Trump posted a series of tweets in which he criticized Rapinoe’s statements. In his tweets, Trump introduced issues around race in the United States and brought forth his own notion of nationalism. The purpose of this study was to conduct an analysis of users’ tweets to determine how individuals employed Twitter to craft a narrative and discuss the ongoing Rapinoe and Trump feud within and outside the bounds of Critical Race Theory (CRT) and nationalism. An inductive analysis of 16,137 users’ tweets revealed three primary themes: a) Refuse, Refute, & Redirect Racist Rhetoric b) Stand Up vs. Know your Rights, and c) #ShutUpAndBeALeader. Based on the findings of this study, it appears that the dialogue regarding racism in the United States is quickly evolving. Instead of reciting the same refrain (i.e., racism no longer exists and systematic racism is constructed by Black people) seen in previous works, individuals in the current dataset refuted those talking points and clearly labeled the President as a racist. Additionally, though discussions of nationalism were evident in this dataset, the Stand Up vs. Know Your Rights theme was on the periphery in comparison to discussions of race. Perhaps, this indicates that some have grown tired of Trump utilizing nationalism as a means to stoke racism.

scholarly journals A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter® in the United States: A Natural Language Processing Approach

2021 ◽  
Vol 18 (9) ◽  
pp. 4543
Author(s):  
Krzysztof Fiok ◽  
Waldemar Karwowski ◽  
Edgar Gutierrez ◽  
Maham Saeidi ◽  
Awad M. Aljuaid ◽  
...  
Keyword(s):  
United States ◽  
Natural Language Processing ◽  
Back Pain ◽  
Natural Language ◽  
Language Processing ◽  
The United States ◽  
Daily Routine ◽  
Body Movements ◽  
Data Source ◽  
Twitter Users

The COVID-19 pandemic has changed our lifestyles, habits, and daily routine. Some of the impacts of COVID-19 have been widely reported already. However, many effects of the COVID-19 pandemic are still to be discovered. The main objective of this study was to assess the changes in the frequency of reported physical back pain complaints reported during the COVID-19 pandemic. In contrast to other published studies, we target the general population using Twitter as a data source. Specifically, we aim to investigate differences in the number of back pain complaints between the pre-pandemic and during the pandemic. A total of 53,234 and 78,559 tweets were analyzed for November 2019 and November 2020, respectively. Because Twitter users do not always complain explicitly when they tweet about the experience of back pain, we have designed an intelligent filter based on natural language processing (NLP) to automatically classify the examined tweets into the back pain complaining class and other tweets. Analysis of filtered tweets indicated an 84% increase in the back pain complaints reported in November 2020 compared to November 2019. These results might indicate significant changes in lifestyle during the COVID-19 pandemic, including restrictions in daily body movements and reduced exposure to routine physical exercise.

scholarly journals The Trumpet of the Swan

2018 ◽  
Vol 6 (1) ◽  
pp. 177-186
Author(s):  
Karen Ann Donnachie ◽  
Andy Simionato
Keyword(s):  
United States ◽  
Twentieth Century ◽  
Cold War ◽  
United States Of America ◽  
The United States ◽  
Autonomous Robot ◽  
Donald Trump ◽  
Twitter Account ◽  
War Propaganda ◽  
Natural Media

This paper will outline the ideation, background and development of the electronic artwork The Trumpet of the Swan (Donnachie & Simionato, 2017) presented by the authors at the Electronic Literature Organisation conference in Porto, Portugal in 2017. The artwork is a custom-coded drawing-robot which automatically inscribes in natural media, every post published from the personal Twitter profile of the 45th President of the United States of America, Donald Trump, identified on Twitter as @realDonaldTrump. The machine, which has the appearance reminiscent of a swan, including a broad “body” balanced on two short legs that end in webbed “feet”, is a semi-autonomous robot that writes in a pen, crowned by a long white plume, on a continuous scroll of paper while producing bird-like sounds. The drawing-robot remains permanently in a state of attention and the demonstrated sequence of actions can only be triggered remotely and by the 45th President of the U.S.A. himself (or more precisely, by whomever publishes a new tweet through his Twitter account ‘@realDonaldTrump’). In other words, to borrow a popular phrase taken from twentieth century cold-war propaganda: only the President has the ability to “launch” this artwork which otherwise remains dormant, in waiting.

scholarly journals Pilot Cohorts for Development of Concurrent Mobile Treatment for Alcohol and Tobacco Use Disorders

2021 ◽  
Vol 15 ◽  
pp. 117822182110305
Author(s):  
Alyssa M Medenblik ◽  
Patrick S Calhoun ◽  
Stephen A Maisto ◽  
Daniel R Kivlahan ◽  
Scott D Moore ◽  
...  
Keyword(s):  
Tobacco Use ◽  
Behavioral Therapy ◽  
Contingency Management ◽  
Heavy Drinking ◽  
The United States ◽  
Telephone Counseling ◽  
Low Risk ◽  
Cognitive Behavioral ◽  
Total N ◽  
Polysubstance Use

Alcohol and tobacco are the 2 most frequently used drugs in the United States and represent the highest co-occurrence of polysubstance use. The objective of this study was to refine an intervention combining mobile contingency management with cognitive-behavioral telephone counseling for concurrent treatment of alcohol and tobacco use disorders. Two cohorts (n = 13 total, n = 5 women) of participants were enrolled, with 10/13 completing treatment and 7/13 completing the 6-month follow-up. At enrollment, participants were drinking a mean of 28.9 drinks per week (SD = 14.1), with a mean of 14.7 heavy drinking days in the past month (SD = 9.9), and a mean of 18.1 cigarettes per day (SD = 11.7). Treatment included a mobile application that participants used to record carbon monoxide and breath alcohol content readings to bioverify abstinence. Participants received up to 4 sessions of phone cognitive-behavioral therapy and monetary reinforcement contingent on abstinence. In cohort 1, 4/6 participants reported abstinent or low-risk drinking post-monitoring. Six weeks post quit-date, 2/6 participants were CO-bioverified abstinent from tobacco use, with 2/6 in dual remission. These results were maintained at 6-months. In cohort 2, 6/7 reported abstinent or low-risk drinking post-monitoring, 5 weeks post quit-date. At the post-monitoring visit, 5/7 were CO-bioverified abstinent from smoking, with 5/7 in dual remission. At 6-months, 3/7 reporting abstinent or low-risk drinking, 1/7 had bioverified abstinence from smoking, with 1/7 in dual remission. Observations suggest that it is possible to develop a concurrent mobile treatment for alcohol and tobacco use disorders.

scholarly journals Situational Breakdowns Beyond Protest Violence

2019 ◽  
pp. 129-168
Author(s):  
Anne Nassauer
Keyword(s):  
United States ◽  
African American ◽  
The United States ◽  
Crucial Importance ◽  
Social Phenomena ◽  
Systemic Racism ◽  
Context Factors ◽  
Social Events ◽  
Micro Level

Chapter 9 explores whether the books’ findings hold in other contexts by examining other instances of surprising outcomes. First, the chapter discusses the outbreak of violence in uprisings after police shootings of African American citizens in the United States, such as Ferguson, Missouri, in 2014 and Baltimore, Maryland, in 2015. The first section takes a detailed look at the role of background and context factors (such as symbolic and systemic racism) and situational patterns in uprisings turning violent. Then the chapter discusses successful and failed armed store robberies. Here the surprising outcome is not violence but armed criminals failing to get the money from an unarmed store clerk. Findings suggest similar patterns of situational breakdowns in these occurrences as in protests and uprisings. Overall, the chapter discusses the crucial importance of the micro-level of social phenomena: if routines of both collective and individual social events are disrupted, surprising outcomes occur.

scholarly journals PENERAPAN TEXT MINING UNTUK MELAKUKAN CLUSTERING DATA TWEET AKUN BLIBLI PADA MEDIA SOSIAL TWITTER MENGGUNAKAN K-MEANS CLUSTERING

2022 ◽  
Vol 10 (4) ◽  
pp. 583-593
Author(s):  
Syiva Multi Fani ◽  
Rukun Santoso ◽  
Suparti Suparti
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Virtual Networks ◽  
Number Of Clusters ◽  
Silhouette Coefficient ◽  
Twitter Account ◽  
Computer Based ◽  
Twitter Users ◽  
Clustering Data ◽  
Coefficient Method

Social media is computer-based technology that facilitates the sharing of ideas, thoughts, and information through the building of virtual networks and communities. Twitter is one of the most popular social media in Indonesia which has 78 million users. Businesses rely heavily on Twitter for advertising. Businesses can use these types of tweet content as a means of advertising to Twitter users by Knowing the types of tweet content that are mostly retweeted by their followers . In this study, the application of Text Mining to perform clustering using the K-means clustering method with the best number of clusters obtained from the Silhouette Coefficient method on the @bliblidotcom Twitter tweet data to determine the types of tweet content that are mostly retweeted by @bliblidotcom followers. Tweets with the most retweets and favorites are discount offers and flash sales, so Blibli Indonesia could use this kind of tweet to conduct advertising on social media Twitter because the prize quiz tweets are liked by the @bliblidotcom Twitter account followers.

scholarly journals Universal patterns of long-distance commuting and social assortativity in cities

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eszter Bokányi ◽  
Sándor Juhász ◽  
Márton Karsai ◽  
Balázs Lengyel
Keyword(s):  
Social Networks ◽  
Low Income ◽  
Social Inclusion ◽  
The United States ◽  
Universal Relation ◽  
Long Distance ◽  
Low Income Groups ◽  
Twitter Users ◽  
Diverse Individual ◽  
Commuting Distance

AbstractMillions commute to work every day in cities and interact with colleagues, partners, friends, and strangers. Commuting facilitates the mixing of people from distant and diverse neighborhoods, but whether this has an imprint on social inclusion or instead, connections remain assortative is less explored. In this paper, we aim to better understand income sorting in social networks inside cities and investigate how commuting distance conditions the online social ties of Twitter users in the 50 largest metropolitan areas of the United States. An above-median commuting distance in cities is linked to more diverse individual networks, moreover, we find that longer commutes are associated with a nearly uniform, moderate reduction of overall social tie assortativity across all cities. This suggests a universal relation between long-distance commutes and the integration of social networks. Our results inform policy that facilitating access across distant neighborhoods can advance the social inclusion of low-income groups.

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