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Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

However, most people try to quit smoking without assistance [6-8], which has been shown to be less effective than quitting with assistance [9]. Therefore, connecting people who want to quit smoking with smoking cessation treatment is an important public health goal [8]. Smoking cessation programs using mobile health (m Health) technologies have the potential to cost-effectively reach individuals who smoke at a population level [10-12].

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

J Med Internet Res 2025;27:e67630

Measuring Stress, Socialization, and Smoking Behaviors Among Lesbian, Gay, Bisexual, Transgender, Queer, and Other Sexual and Gender Minority Adolescents (the Puff Break Research Study): Protocol for a Ecological Momentary Assessment Study

Measuring Stress, Socialization, and Smoking Behaviors Among Lesbian, Gay, Bisexual, Transgender, Queer, and Other Sexual and Gender Minority Adolescents (the Puff Break Research Study): Protocol for a Ecological Momentary Assessment Study

The contributions of minority stress processes and socialization factors on LGBTQ+ youth smoking have been primarily studied via retrospective surveys [28,30], limiting understanding of the real-time impacts of minority stress and socialization effects on smoking behaviors during the developmental period when sexual orientation and gender disparities in smoking emerge. Minority stress experiences [31,32] and exposure to peer norms [27-29] that influence smoking are common daily events.

Linda Salgin, Daniel Kellogg, Jonathan Helm, Aaron J Blashill, Mark Myers, Hee-Jin Jun, Andy C Lim, Jerel P Calzo

JMIR Res Protoc 2025;14:e71927

User Experiences With Digital Future-Self Interventions in the Contexts of Smoking and Physical Inactivity: Mixed Methods Multistudy Exploration

User Experiences With Digital Future-Self Interventions in the Contexts of Smoking and Physical Inactivity: Mixed Methods Multistudy Exploration

Quitting smoking and increasing PA immediately mitigate health risks even among older individuals and those with long-standing histories of smoking or sedentary behavior [10,11]. However, quitting smoking and increasing PA are often challenging. To illustrate, long-term smoking abstinence may require 20 to 30 attempts [12]. While numerous smoking cessation and PA promotion interventions exist, their effects tend to be small to moderate and are rarely sustained beyond a year [13-15].

Kristell M Penfornis, Nele Albers, Willem-Paul Brinkman, Mark A Neerincx, Andrea WM Evers, Winifred A Gebhardt, Eline Meijer

JMIR Form Res 2025;9:e63893

Reactivity to Smoking Cues in a Social Context: Virtual Reality Experiment

Reactivity to Smoking Cues in a Social Context: Virtual Reality Experiment

Dimoff and Sayette [9] make a plea for including social contextual factors in laboratory experiments on smoking in order to gain a deeper understanding of the mechanisms underlying smoking behavior and craving. The authors point out that only a few studies examine the influence of social context on smoking behavior, but those that do suggest an influence of the presence of others on smoking behavior, the effects of smoking, and self-regulatory and perceptive processes related to smoking.

Katharina Eidenmueller, Sabine Hoffmann, Kornelius Kammler-Sücker, Leonard Wenger, Massimiliano Mazza, Christiane Mühle, Manuel Stenger, Gerrit Meixner, Falk Kiefer, Bernd Lenz

JMIR Form Res 2025;9:e71285

Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks

Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks

A key element was the creation of the Helsinki Health Study (HHS) score for predicting SCD using indicators such as smoking, alcohol consumption, leisure time physical activity (LTPA), consumption of fruit and vegetables, BMI, and insomnia symptoms, adjusting for sociodemographic factors. Using the HHS score to predict SCD: This objective focused on providing examples of how the HHS score can help individuals assess their health risks and make informed decisions.

Antti Etholén, Teemu Roos, Mirja Hänninen, Ioanna Bouri, Jenni Kulmala, Ossi Rahkonen, Anne Kouvonen, Tea Lallukka

J Med Internet Res 2025;27:e65028

Using Text Messaging Ecological Momentary Assessment to Record Changes in e-Cigarette and Combustible Cigarette Use: Pilot Randomized Clinical Trial

Using Text Messaging Ecological Momentary Assessment to Record Changes in e-Cigarette and Combustible Cigarette Use: Pilot Randomized Clinical Trial

In the United States, smoking remains the leading preventable cause of death, responsible for 480,000 deaths and US $170 billion in health care spending each year [1]. Despite considerable progress in the 20th century, in 2021, 30 million US adults were still cigarette users [2]. The benefits of smoking cessation are well-established [1]; however, there are high rates of relapse with existing smoking cessation therapies in some groups, like those with chronic obstructive pulmonary disease (COPD) [3].

Tucker Morgan, Michelle He, Andrew Nicholson, Omar El Shahawy, Scott E Sherman, Elizabeth R Stevens

JMIR Form Res 2025;9:e66709

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

Mindfulness-based interventions (MBIs) for smoking cessation address tobacco use by increasing awareness of the automatic nature of smoking and related behaviors (eg, reactivity to triggers for smoking) from a nonjudgmental stance [2-6]. Formal and informal mindfulness practices are taught and practiced, and individuals are encouraged to implement these practices while quitting smoking.

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

JMIR Mhealth Uhealth 2025;13:e55379

Machine Learning–Based Prediction of Substance Use in Adolescents in Three Independent Worldwide Cohorts: Algorithm Development and Validation Study

Machine Learning–Based Prediction of Substance Use in Adolescents in Three Independent Worldwide Cohorts: Algorithm Development and Validation Study

We distinguished smoking and alcohol from other substances in our analysis, recognizing their unique consumption patterns, sociocultural implications, and health effects [16]. Substances other than smoking and alcohol are distinguished primarily due to concerns regarding their potential for misuse and health risks [17]. This decision was made to ensure that our model captures nuances specific to each substance, thereby enhancing the specificity and relevance of our predictions.

Soeun Kim, Hyejun Kim, Seokjun Kim, Hojae Lee, Ahmed Hammoodi, Yujin Choi, Hyeon Jin Kim, Lee Smith, Min Seo Kim, Guillaume Fond, Laurent Boyer, Sung Wook Baik, Hayeon Lee, Jaeyu Park, Rosie Kwon, Selin Woo, Dong Keon Yon

J Med Internet Res 2025;27:e62805

Adapting a Mobile Health App for Smoking Cessation in Black Adults With Anxiety Through an Analysis of the Mobile Anxiety Sensitivity Program Proof-of-Concept Trial: Qualitative Study

Adapting a Mobile Health App for Smoking Cessation in Black Adults With Anxiety Through an Analysis of the Mobile Anxiety Sensitivity Program Proof-of-Concept Trial: Qualitative Study

Such processes could contribute to Black people being less successful in quitting smoking or put them more at risk of returning to smoking to help alleviate stress and anxiety [19]. One promising smoking cessation strategy for Black people with anxiety sensitivity is the delivery of tailored interventions through smartphone apps.

Marshall K Cheney, Adam C Alexander, Lorra Garey, Matthew W Gallagher, Emily T Hébert, Anka A Vujanovic, Krista M Kezbers, Cameron T Matoska, Michael J Zvolensky, Michael S Businelle

JMIR Form Res 2025;9:e53566