Page D. Dobbs
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: East Tennessee State University (2019); University of Nevada, Las Vegas (2022); College of Charleston (2021); University of Mississippi Medical Center (2022); University at Albany, State University of New York (2025); Arkansas Department of Health (2021); University of Oklahoma (2019–2025); SUNY Cortland (2016)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Page D. Dobbs' research focuses on understanding and addressing issues related to tobacco use, particularly among young adults and college students. Dobbs has investigated the motivations behind the use of electronic nicotine delivery systems (ENDS), such as JUULs, and has examined the discourse surrounding vaping on social media platforms like Twitter and TikTok. This work includes using computational methods, such as BERTweet and self-supervised spatiotemporal transformers, to analyze online content related to vaping and group activity recognition.
In addition to studying ENDS, Dobbs' research extends to public health policies and interventions. This includes examining the impact of Tobacco 21 policies on tobacco control and investigating knowledge, beliefs, and vaccine uptake related to the human papillomavirus (HPV) among college students. Dobbs has also been involved in research utilizing tools like PRAPARE to assess factors affecting COVID-19 testing and outcomes in community health settings. Dobbs leads a research group and has collaborated with researchers from the University of Arkansas at Fayetteville on multiple publications, with a total of 93 publications and 643 citations, and an h-index of 14.
Metrics
- h-index: 14
- Publications: 93
- Citations: 662
Selected Publications
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Nicotine Pouch Awareness, Susceptibility, and Use Among California College Students (2026)
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Alcohol Awareness, Prevention, and Education in Greek Life (2026)Journal of the Arkansas Academy of Science OpenAlex
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The role of third-party e-commerce technology in illegal online e-cigarette sales (2026)
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#MiniCupVape E-Cigarettes Promoted on Instagram: A Youth Participatory Action Research Approach (2026)
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Cooling the Conversation: Discourse About Menthol and Flavored Tobacco Restrictions on TikTok (2026)
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The Social Determinants of Health in Place (2025)
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A Brief Black Masculinity Scale and Associations With Stress Coping (2025)
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Music festivals, exclusive concerts and reward programmes: nicotine pouch promotion on social media (2025)
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The Adaptation and Validation of an Instrument Measuring Bystander Intention to Address Gym-Based Sexual Harassment: An Application of the Reasoned Action Approach (2025)
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State of Menstrual Health Education in 2024: Content Analysis of <scp>US</scp> K‐12 Public School Education Standards (2025)
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E-cigarette flavor and device preferences among US pregnant women who smoke: A latent class analysis (2025)
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The experiences of young adults attempting to quit e-cigarettes: A mixed-methods analysis (2025)
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The Prevention of Nicotine use in the State of Arkansas that has Geographic Tobacco use Disparities: the Perceived Prevention Needs and Realities of School Professionals (2025)
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Online Interest in Elf Bar in the United States: Google Health Trends Analysis (2024)
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Do-It-Yourself Flavored Capsule Cigarettes: Exploiting Potential Regulatory Loopholes? (2024)
Federal Grants 2 $1,162,051 total
Loopholes, Enforcement Challenges, and Tobacco Industry Interference with Tobacco Control Policies
Collaboration Network
Top Collaborators
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
- Miscommunication about the US federal Tobacco 21 law: a content analysis of Twitter discussions
- Policy and Behavior: Comparisons between Twitter Discussions about the US Tobacco 21 Law and Other Age-Related Behaviors
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
Showing 5 of 8 shared publications
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
- Miscommunication about the US federal Tobacco 21 law: a content analysis of Twitter discussions
- Policy and Behavior: Comparisons between Twitter Discussions about the US Tobacco 21 Law and Other Age-Related Behaviors
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint)
Showing 5 of 6 shared publications
- #Discreetshipping: Selling E-cigarettes on TikTok
- Miscommunication about the US federal Tobacco 21 law: a content analysis of Twitter discussions
- Cigarette and E-Cigarette Harm Perceptions During Pregnancy
- The experiences of young adults attempting to quit e-cigarettes: A mixed-methods analysis
- Patient–provider communication about cigarette and e-cigarette use during pregnancy: Adaptation and validation of frequency and quality of communication measures among a sample of pregnant patients
- Tobacco 21 Policies in the U.S.: The Importance of Local Control With Federal Policy
- College Students’ Reasons for Using JUULs
- Harm perceptions, JUUL dependence, and other tobacco product use among young adults who use JUUL
- College Students’ Use of Social Media and E-Cigarettes: How Correctly Identifying Platform Type Influences Findings
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint)
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
- ‘Cashing in’ nicotine pouches for prizes
- Preemption in State Tobacco Minimum Legal Sales Age Laws in the US, 2022: A Policy Analysis of State Statutes and Case Laws
- Tobacco control policies discussed on social media: a scoping review
- Do-It-Yourself Flavored Capsule Cigarettes: Exploiting Potential Regulatory Loopholes?
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- React: recognize every action everywhere all at once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
- REACT: Recognize Every Action Everywhere All At Once
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- React: recognize every action everywhere all at once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
- REACT: Recognize Every Action Everywhere All At Once
- Tobacco 21 Policies in the U.S.: The Importance of Local Control With Federal Policy
- Preemption in State Tobacco Minimum Legal Sales Age Laws in the US, 2022: A Policy Analysis of State Statutes and Case Laws
- Components in tobacco-free school policies—A coding tool for assessment
- Factors that influence Puerto Rican's intention to get the COVID-19 vaccine
- COVID-19 Risk Perceptions and Health Behaviors in Puerto Rico
- Erratum to “Factors that influence Puerto Rican's intention to get the COVID- 19 vaccine” [Exploratory Research in Clinical and Social Pharmacy 5C (2022) 100106]
- Factors that influence Puerto Rican's intention to get the COVID-19 vaccine
- COVID-19 Risk Perceptions and Health Behaviors in Puerto Rico
- Erratum to “Factors that influence Puerto Rican's intention to get the COVID- 19 vaccine” [Exploratory Research in Clinical and Social Pharmacy 5C (2022) 100106]
- Factors that influence Puerto Rican's intention to get the COVID-19 vaccine
- COVID-19 Risk Perceptions and Health Behaviors in Puerto Rico
- Erratum to “Factors that influence Puerto Rican's intention to get the COVID- 19 vaccine” [Exploratory Research in Clinical and Social Pharmacy 5C (2022) 100106]
- Factors that influence Puerto Rican's intention to get the COVID-19 vaccine
- COVID-19 Risk Perceptions and Health Behaviors in Puerto Rico
- Erratum to “Factors that influence Puerto Rican's intention to get the COVID- 19 vaccine” [Exploratory Research in Clinical and Social Pharmacy 5C (2022) 100106]
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