Does smoking abstinence self-efficacy vary across situations? Identifying context-specificity within the Relapse Situation Efficacy Questionnaire.

According to self-efficacy and relapse theories. abstinence self-efficacy (ASE) ratings should be context-specific: they should vary across situations. This variability may be important, as it could signal high-risk for relapse situations. In this study, confirmatory factor analysis was used to identify situational variability in a novel ASE assessment (Relapse Situation Efficacy Questionnaire. or RSEQ). Results supported a hierarchical structure, where both context-specific and unidimensional measures of ASE exist within the assessment. Context-specific factors included Negative Affect, Positive Affect, Restrictive Situations (to smoking). Idle Time, Social-Food Situations, Low Arousal, and Craving. Multiple context-specific factors and the aggregate factor predicted cessation outcome, even after controlling for concurrent smoking rate. However, the context rated with the least confidence proved to be the best outcome predictor, suggesting the existence of "Achilles' heel" situations. These data indicate the internal and predictive validity of the RSEQ.

Dynamic effects of self-efficacy on smoking lapse and relapse.

Self-efficacy (SE) is thought to be critical to success in smoking cessation both as an individual difference and as a dynamic process after a quit attempt. In this study, 214 smokers used palm-top computers to record day-to-day variations in SE during 4 weeks after quitting. SE remained at high and stable levels prior to a 1st lapse but decreased and became more variable thereafter. The authors used event history models with time-varying covariates to assess the effect of daily SE on lapse and relapse risk. Daily SE measures predicted an initial lapse on the subsequent day. However, this relationship was accounted for by stable baseline differences in SE (assessed by questionnaire), rather than by day-to-day dynamics in SE. Progression from 1st lapse to relapse was also examined. In this instance, daily SE predicted subsequent relapse risk, even when baseline SE and concurrent smoking were accounted for, suggesting the importance of SE dynamics for this stage of the relapse process.

Coping in real time: using Ecological Momentary Assessment techniques to assess coping with the urge to smoke.

Coping is important for success at smoking cessation, yet little is known about the natural history of coping with urges to smoke during a cessation attempt. In this study, Ecological Momentary Assessment (EMA) methods were used to gather real-time quantitative and qualitative data. For 3 consecutive days during their first 10 days of smoking cessation, 36 participants used tape recorders and palm-top computers to record details of 389 coping episodes, during which they employed 1,047 coping responses. An average of 3.6 coping episodes per day and an average of 2.7 coping responses per episode were reported. Sixty-seven percent of the responses were behavioral and 33% were cognitive. Gender, location of the episode, nicotine dependence, and quitting history were associated with the use of specific strategies. Results indicate that EMA methods and instruments are feasible for measuring coping responses.

A comparison of coping assessed by ecological momentary assessment and retrospective recall.

Recent research suggests that retrospective coping assessments may not correspond well with day-to-day reports. The authors extended this work by examining the correspondence between short-term (within 48 hr) retrospective coping reports and momentary reports recorded via a palm-top computer close in time to when the stressor occurred. There was relatively poor correspondence between the 2 assessments. Some reports of momentary coping were not reported retrospectively, and some coping reported retrospectively was not reported at the time the stressor occurred. Cognitive coping was more likely to be underreported retrospectively; behavior coping was overreported. Participants were consistent in their discrepancies, but there was no correspondence between discrepancy rates and demographic or personality variables.

Remember that? A comparison of real-time versus retrospective recall of smoking lapses.

Research and treatment assessments often rely on retrospective recall of events. The accuracy of recall was tested using accounts of smoking lapse episodes from 127 participants who had quit smoking, and lapses and temptations were recorded in near-real time using a hand-held computer. These computer records were compared with retrospective accounts elicited 12 weeks later, with a focus on recall of lapses in 4 content domains: mood, activity, episode Triggers, and abstinence violation effects. Recall of lapses was quite poor: Average kappas for items ranged from 0.18 to 0.27. Mean profile rs assessing recall for the overall pattern of behavior were .36, .30, .33, and .44 for these domains, respectively. In recall, participants overestimated their negative affect and the number of cigarettes they had smoked during the lapse, and their recall was influenced by current smoking status. The findings suggest caution in the use of recall in research and intervention.

A day at a time: predicting smoking lapse from daily urge.

Smokers who recently quit (N = 214) monitored smoking urges for up to 26 days after quitting. Computers administered 4-5 assessments daily at random times; participants rated urges on waking and when they experienced temptation episodes. Urge intensity after cessation did not generally exceed urges reported during baseline ad lib smoking. Urge intensity and temptation frequency consistently declined over the quit period. Controlling for urge intensity at baseline, all daily urge intensity measures predicted lapse the following day in proportional hazards survival analyses. Average duration of temptation episodes also predicted lapses; frequency of temptation did not. To isolate the effect of day-to-day variations in urges, participants' nicotine dependence and urge intensity on quit day were controlled for. Only urge intensity at waking still predicted lapse risk; this was not because of this measured being closer in time to the day's lapses. Among lapsers, urge intensity at waking and in temptations rose preceding a lapse.

Individual differences in the context of smoking lapse episodes.

Research on relapse has often focused either on the momentary context of lapses or on stable traits that predict who will relapse. We examine the relation between the two, analyzing how individual differences relate to characteristics of initial lapses, which were recorded nearly in real time by 105 smokers using hand-held computers. More nicotine-dependent smokers lapsed under more negative affect and more intense urges, but they did not smoke more in the initial lapse. Questionnaire measures of negative affect smoking did not predict negative affect lapses. Smokers who lapsed when drinking were less nicotine dependent, but they had a history of smoking while drinking, as assessed by computer monitoring. Smokers who attempted coping but lapsed nevertheless reported less active coping styles on the Ways of Coping questionnaire. The results demonstrate the interplay between individual traits and contextual influences in smoking relapse, and they particularly highlight the role of nicotine dependence in relation to contextual factors.

Temptations to smoke after quitting: a comparison of lapsers and maintainers.

This study addresses whether characteristics of temptations to smoke differ for participants who quit smoking and maintain abstinence compared to those who quit and then lapse. Participants used hand-held computers to record temptations and were beeped at random for base-rate assessments. We used generalized estimating equations to compare 1,851 temptation episodes and 5,192 random assessments recorded by 151 participants (116 lapsers, 35 maintainers) over 1-23 days of abstinence. Compared to randomly sampled occasions, temptations were marked by greater negative affect, restlessness, attention disturbance, and exposure to smoking cues; participants were also more likely to be eating or drinking during temptations. Temptations reported by lapsers and maintainers did not differ in any respect, including their reported coping. The results highlight situational variance over individual differences.

Progression from a smoking lapse to relapse: prediction from abstinence violation effects, nicotine dependence, and lapse characteristics.

Determinants of progression from an initial smoking lapse to relapse, using prospective data from 133 participants were examined. Participants used palm-top computers to record their first lapse, and their reaction to it, within minutes of the event, and were followed for 3 months to assess subsequent smoking. Indicators of the Abstinence Violation Effect--self-efficacy, attributions, and affective reactions to the lapse--generally failed to predict progression to relapse, but participants who felt like giving up after the first lapse progressed more rapidly to a second lapse. Participants who attempted restorative coping were less likely to progress to another lapse on the same day. Those whose lapses were triggered by stress progressed more quickly, whereas those triggered by eating and drinking or accompanied by alcohol consumption progressed more slowly. More nicotine-dependent participants progressed more rapidly toward relapse, but neither the amount smoked in the first lapse nor its subjective reinforcement predicted progression.

First lapses to smoking: within-subjects analysis of real-time reports.

Studies of smoking relapse and temptation episodes have relied on retrospective recall and confounded between- and within-subject variability. Real-time data on temptations and lapses to smoke were gathered using palm-top computers. We made within-subject comparisons of the initial lapse, a temptation episode, and base rate data obtained through randomly scheduled assessments. Negative affect discriminated all three situations, with lapses worse than temptations, and temptations worse than random situations. Participants attributed lapses to negative mood and smoking cues, whereas temptations were more often attributed to behavioral transitions. Participants were 12 times more likely to report coping in temptations than in lapses. However, only cognitive (vs. behavioral) coping strategies were effective. Lapses (vs. the other situations) were more likely to occur when smoking was permitted, when cigarettes were easily available, and in the presence of other smokers. The results have clinical implications, and the computerized monitoring methods may be applicable to an array of clinical research problems.