Mobile Sensing of Smoking Behavior

Not Applicable

Completed

• Conditions: Smoking; Health

• Registration Number: NCT02116283
• Lead Sponsor: Duke University

Brief Summary

Smokers will use a smartphone app on a smartphone provided for the study that will passively sense and record information about their activities. Information collected from the smartphone app will be used to develop future smartphone apps that will predict when an individual is at risk of smoking.

Detailed Description

Smokers will carry an Android-based smartphone, which they are to use as their own for one month. After using the smartphone for two weeks, they will abstain from smoking for 48 hours. The phone will passively sense and record information from onboard sensors and send that information to a central server. When server based algorithms detect a pattern of signals likely associated with smoking behavior, the smoker will be queried regarding their current state (smoking?, not smoking but likely to in the next 10 minutes?, etc.). Likewise, when smokers are about to smoke but were not queried, they can indicate they are about to smoke. This information will be used to update algorithms using machine learning techniques. As such, in this study investigators will gain knowledge that will increase understanding of antecedents of smoking behavior and improve the accuracy with which smoking risk can be detected.

Study Timeline

• Study First Submitted: 2014-01-16
• Study Start: 2014-03
• Study First Submitted QC: 2014-04-15
• Study First Posted: 2014-04-16
• Primary Completion: 2014-05
• Study Completion: 2014-05
• Status Verified: 2014-11
• Last Update Submitted: 2014-11-04
• Last Update Posted: 2014-11-05

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 2

Inclusion Criteria

• generally healthy
• between the ages of 18 and 65
• smoking of at least 10 cig/day of a brand delivering ≥ 0.5 mg nicotine (FTC method) for > 1 year AND an afternoon expired CO concentration >5 ppm (to confirm inhalation) or morning urinary cotinine > 100 ng/mL
• willingness to carry and use a study smartphone as their own for one month

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Exclusion Criteria

• inability to attend all required sessions
• use of smokeless tobacco products
• current use of nicotine replacement therapy or other smoking cessation treatment

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Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Primary Outcome Measures

Name	Time	Method
Change in smoking behaviors as measured by an algorithm of social variables	up to 4 weeks	phone calls (time, duration, coded identity of contact, including smoking status); SMS texting (time sent, coded identity of contact)

Secondary Outcome Measures

Name	Time	Method
Change in smoking behaviors as measured by an algorithm of motion variables	up to 4 weeks	acceleration; direction and magnitude of gravity; device orientation
Change in smoking behaviors as measured by an algorithm of device interaction variables	up to 4 weeks	running applications; applications installed; screen status
Change in smoking behaviors as measured by an algorithm of positioning variables	up to 4 weeks	location; Bluetooth devices within range; available WiFi access points; ID for the current cell tower the device is connected to
Change in smoking behaviors as measured by an algorithm of environmental variables	up to 4 weeks	light; proximity; magnetic field; pressure; temperature

Trial Locations

Locations (1)

Duke University Medical Center; 🇺🇸 Durham, North Carolina, United States