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Skip search results from other journals and go to results- 57 Journal of Medical Internet Research
- 43 JMIR Formative Research
- 28 JMIR mHealth and uHealth
- 27 JMIR Research Protocols
- 17 JMIR Public Health and Surveillance
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- 5 JMIR Mental Health
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Smoking is the leading cause of noncommunicable disease mortality in Japan, significantly increasing the risk of ischemic heart disease, stroke, chronic obstructive pulmonary disease, and cancer [1-3]. The societal burden of smoking has intensified, marking smoking cessation as a global imperative [4].
JMIR Mhealth Uhealth 2025;13:e68638
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Shopping Data for Population Health Surveillance: Opportunities, Challenges, and Future Directions
Epidemiological surveys of tobacco consumption have traditionally focused on cigarette smoking, often overlooking the growing use of less regulated products, such as e-cigarettes, waterpipes, and smokeless tobacco [48]. This narrow scope creates blind spots in understanding the adoption, user demographics, and evolving consumption patterns of newer tobacco products, especially relevant amid the surge in e-cigarette use among young people [49].
J Med Internet Res 2025;27:e75720
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Systematic reviews confirm the efficacy of digital-based therapies, such as smartphone apps, in aiding smoking cessation [12,13]. Additionally, recent studies have examined differences in smoking cessation success rates by cigarette type (combustible cigarettes vs HTPs) using app-based interventions, suggesting that HTP users achieve higher smoking cessation success rates than those using combustible cigarettes [14,15].
J Med Internet Res 2025;27:e75876
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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].
J Med Internet Res 2025;27:e67630
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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.
JMIR Res Protoc 2025;14:e71927
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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].
JMIR Form Res 2025;9:e63893
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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.
JMIR Form Res 2025;9:e71285
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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.
J Med Internet Res 2025;27:e65028
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ENDS use (dual use along with cigarette smoking).
Interact J Med Res 2025;14:e60620
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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].
JMIR Form Res 2025;9:e66709
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