Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
75 participants
INTERVENTIONAL
2017-06-23
2019-08-01
Brief Summary
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Detailed Description
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The primary hypothesis of this study is that the administration of a prompt to perform a relaxation exercise as compared to no prompt will lead to a lower likelihood of being stressed in the subsequent two hours, and that this effect will be stronger when the prompt is administered when the individual is stressed. The secondary hypothesis is that stress episodes will predict the timing of smoking lapses. The third hypothesis is that administration of a prompt to perform a relaxation exercise will reduce the odds of smoking for the next two hours, and that this effect will be stronger when the prompt is administered when the individual is stressed. The fourth (exploratory) hypothesis is that stress will predict the timing of overeating episodes.
These data will also be used for developing automated risk prediction of smoking relapse, and for developing decision rules for the timing of Just-In-Time-Adaptive Interventions (JITAIs).
Conditions
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Study Design
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NA
SINGLE_GROUP
PREVENTION
NONE
Study Groups
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Within-participant micro-randomization
Each minute when participant is available is randomly assigned to either intervention (to practice a stress management exercise) vs. no intervention prompt. When intervention occurs, participant's smartphone vibrates and relaxation app opens, prompting performance of a relaxation exercise.
Prompt to use smartphone apps for stress management
Study smartphone and software will be used to deliver intervention prompts to use stress management applications on the study smartphone at various times throughout the day, during at least 10 days of study participation. The delivery of prompts will be micro randomized to occur when participants are classified as stressed, and when participants are not classified as stressed. Headspace, a commercial stress management application, will be installed on the study smartphones. Thought Shakeup and Mood Surfing, stress management applications that are not commercially available, also will be installed on the study smartphones. These smartphone applications guide participants through stress management exercises that draw upon techniques from mindfulness, cognitive behavioral therapy, and acceptance and commitment therapy.
Interventions
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Prompt to use smartphone apps for stress management
Study smartphone and software will be used to deliver intervention prompts to use stress management applications on the study smartphone at various times throughout the day, during at least 10 days of study participation. The delivery of prompts will be micro randomized to occur when participants are classified as stressed, and when participants are not classified as stressed. Headspace, a commercial stress management application, will be installed on the study smartphones. Thought Shakeup and Mood Surfing, stress management applications that are not commercially available, also will be installed on the study smartphones. These smartphone applications guide participants through stress management exercises that draw upon techniques from mindfulness, cognitive behavioral therapy, and acceptance and commitment therapy.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Willing to try to quit smoking for at least 48 hours during a 15-day quit trial
* Will not use non-cigarette tobacco products or nicotine replacement therapy during the study period
* Not taking or intending to take pharmacological smoking cessation aids (e.g., nicotine replacement, bupropion, venlafaxene) during the study period
Exclusion Criteria
* Planning to move outside of Chicago area during study period
* Adults unable to provide informed consent
* Individuals who are not yet adults
* Pregnant women
* Prisoners
* Non-English Speakers
18 Years
65 Years
ALL
No
Sponsors
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University of Memphis
OTHER
Georgia Institute of Technology
OTHER
University of Minnesota
OTHER
Ohio State University
OTHER
University of Massachusetts, Amherst
OTHER
University of Michigan
OTHER
University of California, Los Angeles
OTHER
University of California, San Diego
OTHER
University of California, San Francisco
OTHER
University of Utah
OTHER
Northwestern University
OTHER
Responsible Party
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Bonnie Spring
Director, Center for Behavior and Health-Institute for Public Health and Medicine (IPHAM); Professor of Preventive Medicine (Behavioral Medicine), Psychiatry, Psychology, and Public Health
Principal Investigators
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Bonnie Spring, PhD
Role: PRINCIPAL_INVESTIGATOR
Northwestern University
Locations
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Northwestern University
Chicago, Illinois, United States
Countries
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References
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Saleheen N, Ali AA, Hossain SM, Sarker H, Chatterjee S, Marlin B, Ertin E, al'Absi M, Kumar S. puffMarker: A Multi-Sensor Approach for Pinpointing the Timing of First Lapse in Smoking Cessation. Proc ACM Int Conf Ubiquitous Comput. 2015 Sep;2015:999-1010.
Kumar S, Abowd GD, Abraham WT, al'Absi M, Beck JG, Chau DH, Condie T, Conroy DE, Ertin E, Estrin D, Ganesan D, Lam C, Marlin B, Marsh CB, Murphy SA, Nahum-Shani I, Patrick K, Rehg JM, Sharmin M, Shetty V, Sim I, Spring B, Srivastava M, Wetter DW. Center of excellence for mobile sensor data-to-knowledge (MD2K). J Am Med Inform Assoc. 2015 Nov;22(6):1137-42. doi: 10.1093/jamia/ocv056. Epub 2015 Jul 3.
Sarker H, Tyburski M, Rahman MM, Hovsepian K, Sharmin M, Epstein DH, Preston KL, Furr-Holden CD, Milam A, Nahum-Shani I, al'Absi M, Kumar S. Finding Significant Stress Episodes in a Discontinuous Time Series of Rapidly Varying Mobile Sensor Data. Proc SIGCHI Conf Hum Factor Comput Syst. 2016 May;2016:4489-4501. doi: 10.1145/2858036.2858218.
Klasnja P, Hekler EB, Shiffman S, Boruvka A, Almirall D, Tewari A, Murphy SA. Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psychol. 2015 Dec;34S(0):1220-8. doi: 10.1037/hea0000305.
Related Links
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The Mobile Sensor Data-to-Knowledge Center of Excellence is one of 13 national Big Data Centers of Excellence awarded by the National Institutes of Health as part of its Big Data-to-Knowledge initiative.
Other Identifiers
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