WITHIN-DAY TEMPORAL PATTERNS OF
SMOKING, WITHDRAWAL SYMPTOMS, AND
CRAVING.
Presenter: Soujanya Chatterjee
Siddharth Chandra, Deborah Scharf and Saul Shiffman
Introduction
• Examines temporal relationships between smoking frequency,
craving and withdrawal symptoms.
• Generic pattern of craving and Negative affect (NA) between two
smoking episodes.
• Prediction of first and subsequent lapses.
Research Question
• Does increase in craving and negative affect precedes a smoking lapse
episode.
• Does a smoking lapse leads to decrease in craving and NA.
Methodology
• Sample size: 351 participants.
• Duration: 16 days
• Data related to craving, negative affect and withdrawal symptoms
collected through EMA and electronic diaries.
• Each smoking episodes were marked.
Data Processing
• Waking time of day considered as 16 hours.
• Each day divided in 8 widows of 2 hours each.
• Mean craving and negative affect of each window computed.
• Weighted moving average (moving window) for each variable was
computed.
• Each variable normalized by the mean, in order to remove inra-day
variability.
Key Results
• Lagged analyses conducted to establish temporal precedence.
• Do changes in craving and negative effect predict smoking episodes in few
hour?
• Tests of granger precedence conducted.
• First set of regression, smoking at time t was regressed on smoking at t-1.
• Second set of regression, craving and NA at time t-1 was added.
• Result of two regressions were compared.
Key Results
Temporal patterns of smoking and symptoms
Key Results
Lagged associations
• Craving temporarily precedes smoking.
• Smoking was associated with lower craving.
• NA showed one-way relationship with smoking.
• Smoking associated with low NA.
Key Results
Summary and Contribution
• Examines relationship between within day temporal patterns in craving and
NA to temporal variation in smoking episodes.
• Craving and restlessness prospectively predicts smoking episodes.
• NA doesnot predict smoking episodes, smoking reduces subsequent NA.
• This is the first study to examine these patterns.
Critique of work
• Window duration can be reduced to minute levels, we have
sensor data.
• Examine temporal relationships of various physiological features,
collected using sensors with smoking episodes.
• Step forward to predict the timing of smoking lapse intervention.
Thanks.
Questions?

Smoking soujanya

  • 1.
    WITHIN-DAY TEMPORAL PATTERNSOF SMOKING, WITHDRAWAL SYMPTOMS, AND CRAVING. Presenter: Soujanya Chatterjee Siddharth Chandra, Deborah Scharf and Saul Shiffman
  • 2.
    Introduction • Examines temporalrelationships between smoking frequency, craving and withdrawal symptoms. • Generic pattern of craving and Negative affect (NA) between two smoking episodes. • Prediction of first and subsequent lapses.
  • 3.
    Research Question • Doesincrease in craving and negative affect precedes a smoking lapse episode. • Does a smoking lapse leads to decrease in craving and NA.
  • 4.
    Methodology • Sample size:351 participants. • Duration: 16 days • Data related to craving, negative affect and withdrawal symptoms collected through EMA and electronic diaries. • Each smoking episodes were marked.
  • 5.
    Data Processing • Wakingtime of day considered as 16 hours. • Each day divided in 8 widows of 2 hours each. • Mean craving and negative affect of each window computed. • Weighted moving average (moving window) for each variable was computed. • Each variable normalized by the mean, in order to remove inra-day variability.
  • 6.
    Key Results • Laggedanalyses conducted to establish temporal precedence. • Do changes in craving and negative effect predict smoking episodes in few hour? • Tests of granger precedence conducted. • First set of regression, smoking at time t was regressed on smoking at t-1. • Second set of regression, craving and NA at time t-1 was added. • Result of two regressions were compared.
  • 7.
    Key Results Temporal patternsof smoking and symptoms
  • 8.
    Key Results Lagged associations •Craving temporarily precedes smoking. • Smoking was associated with lower craving. • NA showed one-way relationship with smoking. • Smoking associated with low NA.
  • 9.
  • 10.
    Summary and Contribution •Examines relationship between within day temporal patterns in craving and NA to temporal variation in smoking episodes. • Craving and restlessness prospectively predicts smoking episodes. • NA doesnot predict smoking episodes, smoking reduces subsequent NA. • This is the first study to examine these patterns.
  • 11.
    Critique of work •Window duration can be reduced to minute levels, we have sensor data. • Examine temporal relationships of various physiological features, collected using sensors with smoking episodes. • Step forward to predict the timing of smoking lapse intervention. Thanks. Questions?