Alcohol and tobacco cessation in alcohol-dependent smokers: Analysis of real-time reports.

Abstract

Alcohol-tobacco interactions and relapse precipitants were examined among alcohol-dependent smokers in a trial of concurrent alcohol and tobacco treatment. After discharge from treatment, participants completed 14 days of electronic diary (ED) assessments of mood, self-efficacy, urges to drink or smoke, and drinking and smoking behavior. ED data revealed an increase in frequency of alcohol urges after smoking episodes. Drinking relapse episodes were predicted by prior ED ratings of low self-efficacy to resist drinking and high urge to smoke. Smoking relapse episodes were predicted by high urge to smoke and high negative, high arousal mood. Results support a cross-substance cue reactivity model of multiple substance use and a limited-strength model, but not a cross-substance coping model.

Computerized ambulatory monitoring in psychiatry: a multi‐site collaborative study of acceptability, compliance, and reactivity

“…Ambulatory monitoring techniques such as the Experience Sampling Method (ESM) or Ecological Momentary Assessment (EMA) have been increasingly applied over the last decade to study of a range of psychiatric disorders, including mood disorders (Myin-Germeys et al, 2003;Peeters et al, 2006), psychosis (Delespaul et al, 2002;deVries and Delespaul, 1989;Granholm et al, 2007;Kimhy et al, 2006;Myin-Germeys et al, 2001, personality disorders (Ebner-Priember et al, 2006;Farmer et al, 2004;Loewenstein et al, 1987;Stein, 1996), eating disorders (Hilbert and Tuschen-Caffi er, 2007;Smyth et al, 2007;Stein and Corte, 2003), social anxiety (Brown et al, 2007;Kashdan and Steger, 2006;Lee et al, 2006) and substance use (Cooney et al, 2007;Freedman et al, 2006;Hopper et al, 2006;Krahn et al, 2005;Lukasiewicz et al, 2005;Swendsen et al, 2000). A principal advantage of this approach is that it allows researchers to assess symptom expression in a manner that is often inaccessible to standard hospital or laboratory protocols, and to model complex within-person processes over time.…”

Modeling Complexity of EMA Data: Time-Varying Lagged Effects of Negative Affect on Smoking Urges for Subgroups of Nicotine Addiction

“…Additional studies established a link between an elevated negative affect, smoking urges, and a relapse of 3 hr (Cooney et al, 2007), 2 hr (Berkman et al, 2011), and 15 min (Cooney et al, 2007) prior to smoking. Berkman et al (2011) reported no effect of mood 4 hr prior to a relapse, whereas Shiffman and Waters (2004) reported rising negative affect some 6 hr before a subsequent lapse.…”

Conceptualizing Analyses of Ecological Momentary Assessment Data

“…Accordingly, it is not surprising that EMA methods are being widely applied to studies of tobacco use, particularly smoking. EMA methods have been used to study antecedents and consequences of smoking in adolescents (Mermelstein, Hedeker, & Wesintein, 2010) and adults (Carter et al, 2010;Warthen & Tiffany, 2009), in smokers with posttraumatic stress disorder and other disorders (Beckham et al, 2008;Epstein, Marrone, Heishman, Schmittner, & Preston, 2010;Piper, Cook, Schlam, Jorenby, & Baker, 2011), during ad libitum smoking (Shapiro, Jamner, Davydov, & James, 2002) and smoking cessation (Bolt, Piper, Theobald, & Baker, 2012;Cooney et al, 2007;Minami, McCarthy, Jorenby, & Baker, 2011), and in relation to a range of variables ranging from alcohol use (Holt, Litt, & Cooney, 2012;Piasecki, Wood, Shiffman, Sher, & Heath, 2012;Witkiewitz et al, 2012) to worried thoughts about smoking (Magnan, Köblitz, McCaul, & Dillard, 2013), and exposure to media messages (Shadel, Martino, Setodji, & Scharf, 2012) or proximity to tobacco sales outlets (Kirchner, Cantrell, et al, 2013). EMA methods have also been fruitfully applied to study the effects of treatment, both to define treatment outcome (Shiffman et al, 2000;Shiffman et al, 2006) and to examine the processes that mediate treatment effects (Ferguson, Shiffman, & Gwaltney, 2006;McCarthy et al, 2008;Piper et al, 2008).…”