Smoking Cessation

Studies


Northwestern

PI: Bonnie Spring

Smoking and Eating

Users:

225

Person-Days:

3,150

Samples:

136 billion

Sensors

• AutoSense
• MotionSense
• Phone

Description

This study evaluates the feasibility of a just-in-time intervention to delay or prevent smoking relapse in smokers attempting to quit.


Rice

PI: David Wetter

Smoking

Users:

300

Person-Days:

4,200

Samples:

182 billion

Sensors

• AutoSense
• MotionSense
• Phone

Description

This study examines smoking cessation in a population of African American smokers who are attempting to quit.


Utah

PI: David Wetter

Smoking

Users:

300

Person-Days:

4,200

Samples:

182 billion

Sensors

• AutoSense
• MotionSense
• Phone

Description

This study examines the influence of socioeconomic status, social history, contextual and environmental influences, biobehavioral/psychosocial predispositions, and acute momentary precipitants on stress, smoking lapse, and abstinence among 300 smokers attempting to quit.


Moffitt

PI: Christine Vinci

Smoking and Stress

Users:

24

Person-Days:

336

Samples:

15 billion

Sensors

• AutoSense
MotionSense
• Phone

Description

This feasibility study examines the effects of delivering mindfulness strategies via smartphones on key mechanisms underlying smoking cessation among low socioeconomic status, racially/ethnically diverse smokers.


Vermont

PI: Hugh Garavan

Smoking and fMRI

Users:

90

Person-Days:

1,260

Samples:

55 billion

Sensors

• AutoSense
• MotionSense
• Phone

Description

This study examines the multiple neurocognitive processes that have previously been implicated in relapse among smokers who are both successful and unsuccessful in maintaining smoking abstinence.


Publications

 

 

 

Copyright © 2018 MD2K. MD2K is supported by the National Institutes of Health Big Data to Knowledge Initiative (Grant #1U54EB020404)
Team: Cornell Tech, GA Tech, Harvard, U. Memphis, Northwestern, Ohio State, Open mHealth, UCLA, UCSD, UCSF, UMass, U. Michigan, Utah, WVU