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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

Formal and informal mindfulness practices are taught and practiced, and individuals are encouraged to implement these practices while quitting smoking. MBIs have been shown to both reduce negative affect and decouple the link between negative affect and craving or smoking behavior [7-13]. Although MBIs have demonstrated efficacy for smoking cessation via traditional in-person delivery [2-4,6], requiring individuals to attend treatment solely in-person can be burdensome and may result in high attrition.

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

JMIR Mhealth Uhealth 2025;13:e55379

Author's Reply: Expanding the Scope: Reflections on Digital Smoking Cessation Strategies for Diverse Age Groups

Author's Reply: Expanding the Scope: Reflections on Digital Smoking Cessation Strategies for Diverse Age Groups

When prompted about group-based components in digital platforms, our study population believed that the benefits of doing so would include learning new strategies for quitting and connecting with other older adults attempting to quit cigarette smoking. However, our sample discussed concerns about interpersonal challenges (eg, conflicts and negativity) among individuals, which many had witnessed on social media platforms.

Margaret C Fahey

J Med Internet Res 2024;26:e67749

Expectations and Preferences for Digital Cessation Treatment: Multimethods Study Among Older Adults Who Smoke Cigarettes

Expectations and Preferences for Digital Cessation Treatment: Multimethods Study Among Older Adults Who Smoke Cigarettes

Interviews consisted of a series of open-ended questions regarding cigarette smoking and quitting history, prior experiences with digital health treatment (eg, medical appointments or cessation treatment), and expectations and preferences for cessation treatment via different digital modalities (ie, app-delivered, texting-based, or videoconferencing counseling).

Margaret C Fahey, Mathew J Carpenter, Riley O'Neal, Kinsey Pebley, Melissa R Schick, Emily Ware, Benjamin A Toll, Jennifer Dahne

J Med Internet Res 2024;26:e52919

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

These sessions covered various topics, including motivations to quit, triggers to smoke, barriers to quitting, setting a quit date, developing a quit plan, education and proper use of Food and Drug Administration (FDA)–approved medications for quitting smoking, coping skills for dealing with urges, enlisting social support, and strategies for avoiding external cues to smoke.

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

JMIR Mhealth Uhealth 2024;12:e57318

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

Heffner et al [21] looked at features within a smoking cessation app that was both popular (ie, among the 10 most-used features in the app) and significantly associated with successful quitting and identified 2 app features that met both criteria—viewing one’s quit plan and tracking one’s practice of letting smoking urges pass.

Leeann Nicole Siegel, Kara P Wiseman, Alex Budenz, Yvonne Prutzman

JMIR AI 2024;3:e51756

Effectiveness of the QuitSure Smartphone App for Smoking Cessation: Findings of a Prospective Single Arm Trial

Effectiveness of the QuitSure Smartphone App for Smoking Cessation: Findings of a Prospective Single Arm Trial

The review found that mobile apps can increase the chances of quitting smoking compared to no intervention or minimal support. However, the quality of evidence was considered low to moderate, indicating the need for further research. Another systematic review conducted on the same research topic by Chu et al [23] in 2021 also concluded similar findings. The study reported a mean abstinence rate of 33.9% of 7 single-arm trials.

Apurvakumar Pandya, Mythri K S, Shweta Mishra, Kriti Bajaj

JMIR Form Res 2023;7:e51658

Behavioral Activation–Based Digital Smoking Cessation Intervention for Individuals With Depressive Symptoms: Randomized Clinical Trial

Behavioral Activation–Based Digital Smoking Cessation Intervention for Individuals With Depressive Symptoms: Randomized Clinical Trial

Research staff provided participants with a digital copy of the National Cancer Institute’s “Clearing the Air: Quit Smoking Today” booklet [44], which provides evidence-based strategies for quitting smoking. “Clearing the Air” does not provide depression-specific treatment content, and TAU participants were not provided with NRT by the study.

Jennifer Dahne, Amy E Wahlquist, Jacob Kustanowitz, Noelle Natale, Margaret Fahey, Evan M Graboyes, Vanessa A Diaz, Matthew J Carpenter

J Med Internet Res 2023;25:e49809

Varenicline Combined With Oral Nicotine Replacement Therapy and Smartphone-Based Medication Reminders for Smoking Cessation: Feasibility Randomized Controlled Trial

Varenicline Combined With Oral Nicotine Replacement Therapy and Smartphone-Based Medication Reminders for Smoking Cessation: Feasibility Randomized Controlled Trial

Smoking cessation increases life expectancy, and quitting at an earlier age is associated with more years of life gained than quitting later in life [4]. Effective pharmacotherapies to aid cessation are available, and the combination of behavioral support with pharmacotherapy is associated with optimal cessation outcomes [5]. More recently, research has focused on evaluating combination pharmacotherapies in an effort to refine current evidence-based treatment approaches.

Munjireen Sifat, Emily T Hébert, Jasjit S Ahluwalia, Michael S Businelle, Joseph J C Waring, Summer G Frank-Pearce, Chase Bryer, Lizbeth Benson, Stefani Madison, Lourdes G Planas, Irina Baranskaya, Darla E Kendzor

JMIR Form Res 2023;7:e48857

Pilot Testing of an mHealth App for Tobacco Cessation in People Living With HIV: Protocol for a Pilot Randomized Controlled Trial

Pilot Testing of an mHealth App for Tobacco Cessation in People Living With HIV: Protocol for a Pilot Randomized Controlled Trial

Quitting smoking can significantly decrease the risk of acquiring serious illnesses [2]. Mobile health (m Health) technology is an effective tool for people living with a chronic illness, such as HIV. Currently, 84% of households in the United States report that they have a smartphone [5]. Due to the high rate of smartphone ownership and associated tech literacy, m Health apps are an accessible and affordable means of delivering health care [6].

Maeve Brin, Paul Trujillo, Haomiao Jia, Patricia Cioe, Ming-Chun Huang, Huan Chen, Xiaoye Qian, Wenyao Xu, Rebecca Schnall

JMIR Res Protoc 2023;12:e49558

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

We also found that homeless youth who are interested in quitting enjoy the camaraderie and peer support that group-based programs offer [8]. Therefore, we decided to use a group format to deliver a brief in-person smoking cessation counseling session at the beginning of the intervention as described below.

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

JMIR Mhealth Uhealth 2021;9(4):e23989