How when matters for quitting and relapse

Depression as a moderator of the prospective relationship between mood and smoking

OBJECTIVE

Affective features of depression are uniquely involved in the depression-smoking relationship, and it follows that smokers with depression are likely to use cigarettes to alleviate negative affect. However, most ecological momentary assessment (EMA) studies demonstrate no relationship between mood and smoking, in general. Conversely, a small number of experimental studies suggest there is an association between mood and smoking and that the relationship is dependent on levels of depression. Researchers have yet to examine the impact of depression on the relationship between mood and smoking using EMA methodology. Accordingly, the aim of this study was to explore the relationship between depression, mood, and ad lib smoking among adults in "real time."

METHOD

Participants included 96 adult daily smokers (53% female, 67% non-Hispanic Black; age, M = 40.76, SD = 12.42) who completed baseline ratings of depressive symptoms and 7 consecutive days of in vivo data collection focused on cigarette smoking and associated mood and craving ratings.

RESULTS

Results indicated that depression moderates the prospective relationship between mood and smoking (even when controlling for craving), such that participants with higher levels of depressive symptoms smoke more cigarettes in response to an improvement in mood (relative to their average mood), whereas participants with lower levels of depressive symptoms smoke more in response to worsening mood states (relative to their average mood).

CONCLUSIONS

Attempting to maintain better mood may be a motivating factor for smoking among depressed individuals. These findings may be helpful in tailoring smoking cessation treatment programs for people exhibiting depressive symptoms. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Preventing smoking relapse using text messages: analysis of data from the txt2stop trial

INTRODUCTION

Interactive text message-based technologies which operate in real time have the potential to be especially effective for delivery of relapse prevention interventions. We examined predictors of use of a text message system for providing support for lapses and cravings, describe the natural history of requests for support, and predictors of time to requests for support.

METHODS

Data were collected prospectively from participants in the intervention arm of txt2stop, a large randomized controlled trial of an automated, text message-based smoking cessation intervention. Txt2stop included 2,915 men and women aged 16-78, recruited from London, United Kingdom from 2009 to 2010. Participants could text "crave" or "lapse" when they experienced either; an automated system registered the time of the text message to the nearest second.

RESULTS

One thousand one hundred and twenty one (38.5%) participants sent a lapse or crave message to request support. Women were more likely to lapse at some point during the trial. Of those who lapsed, being female, younger age, and setting a Saturday quit date were predictors of sending a lapse text requesting support. Half of all crave texts arrived within 106 hr of quitting. Half of all lapse texts arrived between 4 and 17 days after the quit date. Sending a crave text, being female, younger, and setting a quit date on a Saturday were associated with shorter time to sending a first lapse text.

CONCLUSIONS

Text-based lapse support should be developed and evaluated, especially for women. Smokers may benefit from additional support to prevent lapses on days 4-17 postquit attempt.