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Dive into the research topics where Shaina J. Sowles is active.

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Featured researches published by Shaina J. Sowles.


Preventing Chronic Disease | 2015

Hookah-Related Twitter Chatter: A Content Analysis.

Melissa J. Krauss; Shaina J. Sowles; Megan A. Moreno; Kidist Zewdie; Richard A. Grucza; Laura J. Bierut; Patricia A. Cavazos-Rehg

Introduction Hookah smoking is becoming increasingly popular among young adults and is often perceived as less harmful than cigarette use. Prior studies show that it is common for youth and young adults to network about substance use behaviors on social media. Social media messages about hookah could influence its use among young people. We explored normalization or discouragement of hookah smoking, and other common messages about hookah on Twitter. Methods From the full stream of tweets posted on Twitter from April 12, 2014, to May 10, 2014 (approximately 14.5 billion tweets), all tweets containing the terms hookah, hooka, shisha, or sheesha were collected (n = 358,523). The hookah tweets from Twitter users (tweeters) with high influence and followers were identified (n = 39,824) and a random sample of 5,000 tweets was taken (13% of tweets with high influence and followers). The sample of tweets was qualitatively coded for normalization (ie, makes hookah smoking seem common and normal or portrays positive experiences with smoking hookah) or discouragement of hookah smoking, and other common themes using crowdsourcing. Results Approximately 87% of the sample of tweets normalized hookah use, and 7% were against hookah or discouraged its use. Nearly half (46%) of tweets that normalized hookah indicated that the tweeter was smoking hookah or wanted to smoke hookah, and 19% were advertisements/promotions for hookah bars or products. Conclusion Educational campaigns about health harms from hookah use and policy changes regarding smoke-free air laws and tobacco advertising on the Internet may be useful to help offset the influence of pro-hookah messages seen on social media.


Drug and Alcohol Dependence | 2017

Marijuana advertising exposure among current marijuana users in the U.S.

Melissa J. Krauss; Shaina J. Sowles; Auriann Sehi; Edward L. Spitznagel; Carla J. Berg; Laura J. Bierut; Patricia A. Cavazos-Rehg

BACKGROUND Little is known about marijuana advertising exposure among users in the U.S. We examined the prevalence of advertising exposure among young adult marijuana users through traditional and new media, and identified characteristics associated with seeking advertisements. METHODS We conducted a cross-sectional survey of 18-34 year-old past-month marijuana users in the U.S. using a pre-existing online panel (N=742). The survey queried about passively viewing and actively seeking marijuana advertisements in the past month, sources of advertisements, and marijuana use characteristics. RESULTS Over half of participants were exposed to marijuana advertising in the past month (28% passively observed advertisements, 26% actively sought advertisements). Common sources for observing advertisements were digital media (i.e., social media, online, text/emails; 77%). Similarly, those actively seeking advertisements often used Internet search engines (65%) and social media (53%). Seeking advertisements was more common among those who used medically (41% medical only, 36% medical and recreational) than recreational users (18%), who used concentrates or edibles (44% and 43%) compared to those who did not (20% and 19%), and who used multiple times per day (33%) compared to those who did not (19%) (all p<0.01). CONCLUSIONS Exposure to marijuana advertising among users is common, especially via digital media, and is associated with medical use, heavier use, and use of novel products with higher THC concentrations (i.e., concentrates) or longer intoxication duration (i.e., edibles). As the U.S. marijuana policy landscape changes, it will be important to examine potential causal associations between advertising exposure and continuation or frequency/quantity of use.


Crisis-the Journal of Crisis Intervention and Suicide Prevention | 2017

An Analysis of Depression, Self-Harm, and Suicidal Ideation Content on Tumblr

Patricia A. Cavazos-Rehg; Melissa J. Krauss; Shaina J. Sowles; Sarah Connolly; Carlos Rosas; Meghana Bharadwaj; Richard A. Grucza; Laura J. Bierut

Background: Social networking about depression can be indicative of self-reported depression and/or can normalize risk behaviors such as self-harm and suicidal ideation. Aim: To gain a better understanding of the depression, self-harm, and suicidal content that is being shared on Tumblr. Method: From April 16 to May 10, 2014, 17 popular depression-related Tumblr accounts were monitored for new posts and engagement with other Tumblr users. A total of 3,360 posts were randomly selected from all historical posts from these accounts and coded based on themes ascertained by the research team. Results: The 17 Tumblr accounts posted a median number of 185 posts (range = 0–2,954). Content was engaged with (i.e., re-blogged or liked) a median number of 1,677,362 times (range = 0–122,186,504). Of the 3,360 randomly selected posts, 2,739 (82%) were related to depression, suicide, or self-harm. Common themes were self-loathing (412, 15%), loneliness/feeling unloved (405, 15%), self-harm (407, 15%), and suicide (372, 14%). Conclusion: This study takes an important first step at better understanding the displayed depression-related references on Tumblr. The findings signal a need for suicide prevention efforts to intervene on Tumblr and use this platform in a strategic way, given the depression and suicidal content that was readily observed on Tumblr.


American Journal of Health Promotion | 2018

“No High Like a Brownie High”: A Content Analysis of Edible Marijuana Tweets

Patricia A. Cavazos-Rehg; Kidist Zewdie; Melissa J. Krauss; Shaina J. Sowles

Purpose: To investigate tweets about marijuana edibles for surveillance into the content of edibles-related tweets among individuals socially networking about this topic on Twitter. Design: Cross-sectional analysis of tweets containing edible marijuana-related key words during 1 month. Setting: Twitter. Participants: Tweets sent during January 1 to 31, 2015. Methods: A random sample of 5000 tweets containing edibles-related key words was coded for sentiment (positive, negative, and neutral) by crowdsourced workers. Tweets normalizing or promoting edibles use were further analyzed, and demographic characteristics of the Twitter handles sending these tweets were inferred. Results: Of the 5000 tweets, 4166 (83%) were about marijuana edibles, and of those 75% (3134 of 4166) normalized or encouraged edibles use. Nearly half (48%, 1509 of 3134) of the tweets normalizing edibles mentioned wanting or planning to consume, currently consuming, or recently consuming edibles, and 12% (378 of 3134) described the intense or long-lasting effects following use. Individuals whose tweets promoted/encouraged edibles use were more likely to be young (between 17 and 24 years old) and of a racial/ethnic minority (52% black; 12% Hispanic) when compared to the Twitter average. Conclusion: Tweets that normalize edibles use have the potential to increase their popularity. The prevalence of tweets about edibles’ intense high could have implications for tailoring prevention messages that could be important for youth and young adult minorities who were inferred to be disproportionately socially networking about edibles on Twitter.


Substance Use & Misuse | 2017

“It Takes Longer, but When It Hits You It Hits You!”: Videos About Marijuana Edibles on YouTube

Melissa J. Krauss; Shaina J. Sowles; Haley E. Stelzer-Monahan; Tatiana Bierut; Patricia A. Cavazos-Rehg

ABSTRACT Background: Interest in marijuana edibles has increased as perceptions of harm from marijuana have decreased. Media and peer influences impact youth substance use, and YouTube is the most popular video-sharing website. No studies have examined the content and accessibility of YouTube videos related to marijuana edibles. Objectives: To describe the messages conveyed to viewers in YouTube videos about edibles and determine their accessibility to youth. Methods: On June 12, 2015, we searched YouTube for videos about marijuana/cannabis/weed edibles. A total of 51 videos were coded for presence of an age restriction, purpose(s) of the videos, consumption of edibles during the video, effects, and safety concerns. Results: Total views across all 51 videos were >9 million. Only 14% (7/51) were restricted to viewers over the age of 18 years. Over half (27/51, 53%) were informative videos, most (20/27, 74%) teaching how to make edibles, and 37% (19/51) were entertaining videos. Someone consumed an edible in 31% (16/51) of the videos, and the type of high was mentioned in 51% (26/51) of the videos, including delayed (18/26, 69%) or intense high (13/26, 50%). Fifty-five percent (28/51) mentioned delta-9-tetrahydrocannabinol potency or dosage. Only 10 of these (36%) presented this information specifically as a warning to prevent adverse effects. Conclusions/Importance: Edibles-related videos are easily found on YouTube, often instructing how to bake your own edibles and lacking information needed for safe consumption, and most are not age-restricted. Videos showing how to make edibles or presenting edibles use in an entertaining way that could influence youth to initiate use.


Addictive Behaviors | 2017

A latent class analysis of poly-marijuana use among young adults.

Melissa J. Krauss; Biva Rajbhandari; Shaina J. Sowles; Edward L. Spitznagel; Patricia A. Cavazos-Rehg

INTRODUCTION With more states legalizing marijuana use, the marijuana industry has grown, introducing a variety of marijuana products. Our study explores the use of multiple marijuana products (poly-marijuana use) and the characteristics associated with this behavior. METHODS Past-month marijuana users aged 18-34years were surveyed online via an existing online panel (n=2444). Participants answered questions about past-month use of three types of marijuana (plant-based, concentrates, edibles), marijuana use patterns, and driving after use. Latent class analysis was used to identify subgroups of marijuana users. RESULTS Four classes of marijuana users were identified: Light plant users, who used only plant-based products infrequently and were unlikely to drive after use (32%); Heavy plant users, who used mainly plant-based products frequently, multiple times per day, and were likely to drive after use (37%); Plant and concentrates users, who used plant-based products heavily and concentrates at least infrequently, used multiple times per day, and were likely to drive after use (20%); Light plant and edibles users, who used both products infrequently and were unlikely to drive after use (10%). Those in legal marijuana states were more likely to belong to the poly-marijuana groups. DISCUSSION Our findings reflect the increase in popularity of new marijuana products in legal states and suggest that heavy user groups, including concentrates users, are associated with driving after use. As various forms of marijuana use increases, monitoring and surveillance of the use of multiple types of marijuana will be important for determining potential varying impacts on physiological and social consequences.


Preventing Chronic Disease | 2016

A Content Analysis of Vaping Advertisements on Twitter, November 2014.

Shaina J. Sowles; Melissa J. Krauss; Sarah Connolly; Patricia A. Cavazos-Rehg

Introduction Vaping has increased in popularity, and the potential harms and benefits are largely unknown. Vaping-related advertising is expected to grow as the vaping industry grows; people are exposed primarily to vaping advertisements on the Internet, and Twitter is an especially popular social medium among young people. The primary objective of our study was to describe the characteristics of vaping-related advertisements on Twitter. Methods We collected data on 403,079 English-language tweets that appeared during November 2014 and contained vaping-related keywords. Using crowdsourcing services, we identified vaping-related advertisements in a random sample of 5,000 tweets. The advertisement tweets were qualitatively coded for popular marketing tactics by our research team. We also inferred the demographic characteristics of followers of 4 Twitter handles that advertised various novel vape products. Results The random sample of 5,000 vaping-related tweets included 1,156 (23%) advertisement tweets that were further analyzed. Vape pens were advertised in nearly half of the advertisement tweets (47%), followed by e-juice (21%), which commonly mentioned flavors (42%). Coupons or price discounts were frequently observed (32%); only 3% of tweets mentioned vaping as a way to quit smoking or as an alternative to smoking. One handle had a disproportionately high percentage of racial/ethnic minority followers. Conclusion Vaping poses a threat to smoking prevention progress, and it is important for those in tobacco control to understand and counter the tactics used by vaping companies to entice their consumers, especially on social media where young people can easily view the content.


Substance Abuse | 2017

“I feel like I've hit the bottom and have no idea what to do”: Supportive social networking on Reddit for individuals with a desire to quit cannabis use

Shaina J. Sowles; Melissa J. Krauss; Lewam Gebremedhn; Patricia A. Cavazos-Rehg

BACKGROUND Online communities can provide social support to those in need and can foster personal empowerment for individuals experiencing distress. This study examines the content of a Reddit community dedicated to the support of people trying to quit using cannabis, in order to develop an understanding of the type of social networking occurring on this subreddit (e.g., community). METHODS A total of 100 Reddit posts and their replies (i.e., comments) were collected from the subreddit on June 12, 2015. Posts were qualitatively coded for expression of DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition) symptoms of cannabis use disorder (CUD) as well as other prominently featured themes. Comments on posts where individuals were seeking support/advice were also coded. RESULTS Ninety-one people posted the 100 Reddit posts, and of those 35 (38%) people described enough symptoms to be classified as mild disorder severity, 15 (16%) moderate, and 11 (12%) severe, as outlined in the diagnostic criteria for CUD. Over half of posts (n = 51) were seeking advice and/or support from members of the community. There were 174 comments made by 108 unique people on the advice/support seeking posts. Most were supportive/encouraging in nature (140, 80%) and gave advice to the post author (126, 72%). CONCLUSIONS This exploratory research highlights the potential of online communities as tools for individuals coping with addiction recovery, and future research should investigate if involvement in such communities would be a beneficial supplement to more traditional recovery practices.


Body Image | 2018

A content analysis of an online pro-eating disorder community on Reddit

Shaina J. Sowles; Monique McLeary; Allison R. Optican; Elizabeth Cahn; Melissa J. Krauss; Ellen E. Fitzsimmons-Craft; Denise E. Wilfley; Patricia A. Cavazos-Rehg

Pro-eating disorder communities provide a refuge for individuals with eating disorders (EDs) who are ambivalent about seeking treatment. We investigated a pro-ED community on Reddit, an anonymous social networking platform with topical forums, to identify expression of behaviors aligned with ED symptoms and support for these behaviors. A content analysis on four weeks of topic-specific discussion threads (N=125 comments, 115 replies to comments) was conducted to identify behaviors consistent with ED psychopathology and support for these behaviors (informational, tangible assistance, esteem/emotional support). Results indicated that the content aligned with expressions of clinically relevant ED psychopathology, with eating concerns (49/125) and shape concerns (47/125) being most prevalent. The majority (92/115) of replies provided esteem/emotional support to the comment author. Online interventions and/or recovery programs are needed to counteract reinforcing dialogue that occurs on social media sites, like Reddit, and promote ED recovery through supportive messages on these platforms.


Drug and Alcohol Dependence | 2017

Social networking online to recover from opioid use disorder: A study of community interactions

Alexandra R. D’Agostino; Allison R. Optican; Shaina J. Sowles; Melissa J. Krauss; Kiriam Escobar Lee; Patricia A. Cavazos-Rehg

BACKGROUND Social media has increasingly become a venue for health discourse and support, particularly for vulnerable individuals. This study examines user-generated content of an online Reddit community targeting individuals recovering from opiate addiction. METHODS 100 Reddit posts and their comments were collected from the online community on August 19, 2016. Posts were qualitatively coded for opioid use disorder (OUD) criteria as outlined by the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), as well as other common themes. Comments were coded for expression of distinct therapeutic factors (i.e., instillation of hope, universality, imparting information, and altruism). All posts and comments were coded for addiction phase of the author (i.e., using, withdrawing, recovering). RESULTS 73 unique usernames authored the 100 posts. Among the 73 usernames, 33% (24/73) described enough symptoms in their posts to meet DSM-V criteria for OUD (16/73 or 22% mild severity, 7/73 or 10% moderate severity, and 1/73 or 1% high severity. Among the 100 posts, advice was requested in 43% (43/100) of the posts and support was sought in 24% (24/100) of the posts. There were 511 comments made on the 100 posts, nearly all of which contained at least one distinct therapeutic factor (486/511, 95%) with altruism being the most common (341/511, 67%). CONCLUSIONS This research provides validity to the supportive content generated on an online recovery-oriented community, while also revealing discussions of self-reported struggles with OUD among group members. Future research should explore the feasibility of incorporating social media-based peer support into traditional addiction treatments.

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Melissa J. Krauss

Washington University in St. Louis

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Patricia A. Cavazos-Rehg

Washington University in St. Louis

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Laura J. Bierut

Washington University in St. Louis

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Kidist Zewdie

Washington University in St. Louis

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Richard A. Grucza

Washington University in St. Louis

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Edward L. Spitznagel

Washington University in St. Louis

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Elizabeth Cahn

Washington University in St. Louis

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Megan A. Moreno

Seattle Children's Research Institute

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Sarah Connolly

Washington University in St. Louis

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Allison R. Optican

Washington University in St. Louis

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