ArticleInternational journal of psychophysiology : official journal of the International Organization of Psychophysiology2020
Using novel mobile sensors to assess stress and smoking lapse.
Article in International journal of psychophysiology : official journal of the International Organization of Psychophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- A novel stress-based intervention reduces cigarette use in non-treatment seeking smokers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Trial
- Stressor-elicited smoking and craving during a smoking cessation attempt.Journal of psychopathology and clinical science · 2022Trial
- Sense2Stop: A micro-randomized trial using wearable sensors to optimize a just-in-time-adaptive stress management intervention for smoking relapse prevention.Contemporary clinical trials · 2021Trial
- Detecting imminent smoking lapse risk: Prospective lapse risk algorithm versus participant retrospective self-report.Drug and alcohol dependence · 2025Article
- Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial.JMIR mHealth and uHealth · 2025Article
- Applied statistical methods for identifying features of heart rate that are associated with nicotine vaping.The American journal of drug and alcohol abuse · 2025Article
- Correlates of nicotine patch adherence in daily life.Drug and alcohol dependence · 2025Article
- Sensors for Smoking Detection in Epidemiological Research: Scoping Review.JMIR mHealth and uHealth · 2024Article
- Statistical methods for predicting e-cigarette use events based on beat-to-beat interval (BBI) data collected from wearable devices.Statistics in medicine · 2024Article
- Wearable neurofeedback acceptance model for students' stress and anxiety management in academic settings.PloS one · 2024Article
- Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical Considerations.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- A Just-In-Time Adaptive intervention (JITAI) for smoking cessation: Feasibility and acceptability findings.Addictive behaviors · 2023Article
- Are Psychophysiological Wearables Suitable for Comparing Pedagogical Teaching Approaches?Sensors (Basel, Switzerland) · 2022Article
- Affective mechanisms of stress-induced cigarette craving: Considerations of gender and race/ethnicity.Addictive behaviors · 2022Article
- Dynamic models of stress-smoking responses based on high-frequency sensor data.NPJ digital medicine · 2021Article
- The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol.Contemporary clinical trials · 2021Article
- The Concept of Advanced Multi-Sensor Monitoring of Human Stress.Sensors (Basel, Switzerland) · 2021Review
- Pain and Stress Detection Using Wearable Sensors and Devices-A Review.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Mobile sensors can now provide unobtrusive measurement of both stress and cigarette smoking behavior. We describe, here, the first field tests of two such methods, cStress and puffMarker, that were used to examine relationships between stress and smoking behavior and lapse from a sample of 76 smokers motivated to quit smoking. Participants wore a mobile sensors suite, called AutoSense, which collected continuous physiological data for 4 days (24-hours pre-quit and 72-hours post-quit) in the field. Algorithms were applied to the physiological data to create indices of stress (cStress) and first lapse smoking episodes (puffMarker). We used mixed effects interrupted autoregressive time series models to assess changes in heart rate (HR), cStress, and nicotine craving across the 4-day period. Self-report assessments using ecological momentary assessment (EMA) of mood, withdrawal symptoms, and smoking behavior were also used. Results indicated that HR and cStress, respectively, predicted smoking lapse. These results suggest that measures of traditional psychophysiology, such as HR, are not redundant with cStress; both provide important information. Results are consistent with existing literature and provide clear support for cStress and puffMarker in ambulatory clinical research. This research lays groundwork for sensor-based markers in developing and delivering sensor-triggered, just-in-time interventions that are sensitive to stress-related lapser risk factors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.