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Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial

Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial

Reference 3: A pilot study on mindfulness based stress reduction for smokers Reference 4: Mindfulness training for smokers via web-based video instruction with phone support: a prospective Reference 9: Surfing the urge: brief mindfulness-based intervention for college student smokers Reference 18: Shape of the relapse curve and long-term abstinence among untreated smokers Reference 61: Mindful attention reduces neural and self-reported cue-induced craving in smokerssmokers

Christine Vinci, Steve K Sutton, Min-Jeong Yang, Sarah R Jones, Santosh Kumar, David W Wetter

JMIR Mhealth Uhealth 2025;13:e55379

Tobacco Use, Risk Perceptions, and Characteristics of Adults Who Used a Heated Tobacco Product (IQOS) in the United States: Cross-Sectional Survey Study

Tobacco Use, Risk Perceptions, and Characteristics of Adults Who Used a Heated Tobacco Product (IQOS) in the United States: Cross-Sectional Survey Study

Although quitting is the best way to mitigate health risks from smoking, it remains challenging for many smokers. Despite 70% of smokers wanting to quit smoking and more than half attempting each year [3], the majority of those who attempt to quit relapse within 12 months [4-7]. Individuals who smoke make many attempts before successfully quitting, rendering the quitting journey a protracted relapsing process [7,8].

Hui G Cheng, Brendan Noggle, Andrea R Vansickel, Edward G Largo, Pierpaolo Magnani

JMIR Form Res 2025;9:e57398

Generation of Backward-Looking Complex Reflections for a Motivational Interviewing–Based Smoking Cessation Chatbot Using GPT-4: Algorithm Development and Validation

Generation of Backward-Looking Complex Reflections for a Motivational Interviewing–Based Smoking Cessation Chatbot Using GPT-4: Algorithm Development and Validation

These restrictions make it difficult for smokers to access therapy outside of medical centers and occur too late to have a preventative effect. Our research seeks to automate the therapist side of an MI conversation which, if successful, could broaden access to care at a population level. We have been developing a chatbot, called MIBot [4], whose purpose is to move ambivalent smokers toward the direction of quitting.

Ash Tanuj Kumar, Cindy Wang, Alec Dong, Jonathan Rose

JMIR Ment Health 2024;11:e53778

Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial

Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial

Reference 21: Using motivational interviewing with smokers: do therapist behaviors relate to engagement Reference 36: Engaging unmotivated smokers to move toward quitting: design of motivational interviewing-based Reference 40: Working alliance and empathy as mediators of brief telephone counseling for cigarette smokers Reference 76: Twelve million smokers look online for smoking cessation help annually: health informationsmokers

Jonathan B Bricker, Brianna Sullivan, Kristin Mull, Margarita Santiago-Torres, Juan M Lavista Ferres

JMIR Mhealth Uhealth 2024;12:e57318

Smartphone-Based Survey and Message Compliance in Adults Initially Unready to Quit Smoking: Secondary Analysis of a Randomized Controlled Trial

Smartphone-Based Survey and Message Compliance in Adults Initially Unready to Quit Smoking: Secondary Analysis of a Randomized Controlled Trial

Application of dynamic models, like the PBM, to mobile health (m Health) interventions for smoking cessation may be especially relevant since 80% of smokers are not ready to quit smoking within the next 30 days [2]. Yet, people who smoke may rapidly cycle through decisions to initiate, continue, and end smoking cessation attempts [2].

Clayton Ulm, Sixia Chen, Brianna Fleshman, Lizbeth Benson, Darla E Kendzor, Summer Frank-Pearce, Jordan M Neil, Damon Vidrine, Michael S Businelle

JMIR Form Res 2024;8:e56003

Relationship Between Product Features and the Prices of e-Cigarette Devices Sold in Web-Based Vape Shops: Comparison Study Using a Linear Regression Model

Relationship Between Product Features and the Prices of e-Cigarette Devices Sold in Web-Based Vape Shops: Comparison Study Using a Linear Regression Model

The majority of adolescent and young adult EC users report using rechargeable pods (eg, JUUL) [7-11], while smokers who successfully quit smoking are more likely to use open-tank systems or mods [12,13]. The choices of models are further associated with the frequency of EC use and nicotine dependence, making EC devices or models an important product attribute for policy makers to regulate [5-7].

Yanyun He, Qian Yang, Yousef Alish, Shaoying Ma, Zefeng Qiu, Jian Chen, Theodore Wagener, Ce Shang

JMIR Form Res 2024;8:e49276

A Global Health Survey of People Who Vape but Never Smoked: Protocol for the VERITAS (Vaping Effects: Real-World International Surveillance) Study

A Global Health Survey of People Who Vape but Never Smoked: Protocol for the VERITAS (Vaping Effects: Real-World International Surveillance) Study

These consumer products have been rapidly gaining ground on combustible cigarettes (CCs) among smokers because of their potential for harm reduction from cigarette smoke and smoking cessation [1-3], their competitive price [4,5], and because of allowing people who smoke to continue having a “smoking experience without smoking” [6-8].

Jeffrey Zamora Goicoechea, Allison Boughner, Juan José Cirion Lee, Aman Mahajan, Kurt Yeo, Maris Sproga, Tasmin Patel, Claudio Saitta, Christopher Russell, Michael Coughlan, Pasquale Caponnetto, Riccardo Polosa

JMIR Res Protoc 2024;13:e54236

Investigation of the Association Between e-Cigarette Smoking and Oral Mucosal Health Status Among Young People: Protocol for a Case-Control Trial

Investigation of the Association Between e-Cigarette Smoking and Oral Mucosal Health Status Among Young People: Protocol for a Case-Control Trial

Electronic cigarettes (e-cigarettes) were invented by a Chinese pharmacist, Hon Lik, in 2003, who envisioned that they would replace conventional cigarettes due to their deleterious effects [4]. e-Cigarette companies claim that handheld devices can provide smokers with the same experience as conventional cigarettes while reducing their negative effects. e-Cigarettes were introduced with the hope that the smoking population would gradually stop using conventional cigarettes and switch to e-cigarettes.

Siyuan Cheng

JMIR Res Protoc 2024;13:e53644

Text Messaging Intervention for Young Smokers Experiencing Homelessness: Lessons Learned From a Randomized Controlled Trial

Text Messaging Intervention for Young Smokers Experiencing Homelessness: Lessons Learned From a Randomized Controlled Trial

National data indicate that 19% of people aged 18 to 25 years in the United States are current (past 30 day) cigarette smokers [1]. However, rates of smoking among young people experiencing homelessness are significantly higher, with several studies indicating that up to 70% of the population are current smokers [2-4]. They also spend a higher fraction (about 30%) [5] of their monthly income on cigarettes, compared with about 20% spent by homeless adult smokers [6].

Sebastian Linnemayr, Rushil Zutshi, William Shadel, Eric Pedersen, Maria DeYoreo, Joan Tucker

JMIR Mhealth Uhealth 2021;9(4):e23989