The Effect of Positive and Negative Affect on Early Treatment Milestones in the Context of Integrated Smoking Treatment

Developing Mood-Based Computer-Tailored Health Communication for Smoking Cessation: Feasibility Randomized Controlled Trial

BACKGROUND

Computer-tailored health communication (CTHC), a widely used strategy to increase the effectiveness of smoking cessation interventions, is focused on selecting the best messages for an individual. More recently, CTHC interventions have been tested using contextual information such as participants' current stress or location to adapt message selection. However, mood has not yet been used in CTCH interventions and may increase their effectiveness.

OBJECTIVE

This study aims to examine the association of mood and smoking cessation message effectiveness among adults who currently smoke cigarettes.

METHODS

In January 2022, we recruited a web-based convenience sample of adults who smoke cigarettes (N=615; mean age 41.13 y). Participants were randomized to 1 of 3 mood conditions (positive, negative, or neutral) and viewed pictures selected from the International Affective Picture System to induce an emotional state within the assigned condition. Participants then viewed smoking cessation messages with topics covering five themes: (1) financial costs or rewards, (2) health, (3) quality of life, (4) challenges of quitting, and (5) motivation or reasons to quit. Following each message, participants completed questions on 3 constructs: message receptivity, perceived relevance, and their motivation to quit. The process was repeated 30 times. We used 1-way ANOVA to estimate the association of the mood condition on these constructs, controlling for demographics, cigarettes per day, and motivation to quit measured during the pretest. We also estimated the association between mood and outcomes for each of the 5 smoking message theme categories.

RESULTS

There was an overall statistically significant effect of the mood condition on the motivation to quit outcome (P=.02) but not on the message receptivity (P=.16) and perceived relevance (P=.86) outcomes. Participants in the positive mood condition reported significantly greater motivation to quit compared with those in the negative mood condition (P=.005). Participants in the positive mood condition reported higher motivation to quit after viewing smoking cessation messages in the financial (P=.03), health (P=.01), quality of life (P=.04), and challenges of quitting (P=.03) theme categories. We also compared each mood condition and found that participants in the positive mood condition reported significantly greater motivation to quit after seeing messages in the financial (P=.01), health (P=.003), quality of life (P=.01), and challenges of quitting (P=.01) theme categories than those in the negative mood condition.

CONCLUSIONS

Our findings suggest that considering mood may be important for future CTHC interventions. Because those in the positive mood state at the time of message exposure were more likely to have greater quitting motivations, smoking cessation CTHC interventions may consider strategies to help improve participants' mood when delivering these messages. For those in neutral and negative mood states, focusing on certain message themes (health and motivation to quit) may be more effective than other message themes.

Differences in Cognitive Task Performance, Reinforcement Enhancement, and Nicotine Dependence Between Menthol and Nonmenthol Cigarette Smokers

INTRODUCTION

Menthol has been shown to target similar brain regions and neural receptors as nicotine, yet the association between menthol cigarette use and cognitive performance remains unknown.

AIMS AND METHODS

This study examined differences in cognitive task performance between menthol (MS) and nonmenthol (NMS) cigarette smokers after acute cigarette consumption. Sixty white and black and/or African American, nonabstinent, MS (n = 30) and NMS (n = 30) were assessed presmoking and postsmoking their preferred cigarette on four computerized tasks: Continuous Performance Task (CPT; alerting attention), N-Back Task (working memory), Finger Tapping Task (motor control), and Apple Picker Task (reinforcement enhancement). Self-reported nicotine dependence and objective smoking topography measures were also compared between groups.

RESULTS

Initial unadjusted analyses showed a significant effect of cigarette type × time on CPT speed (p = .042), where MS improved while NMS group worsened in CPT speed after smoking. After controlling for baseline cigarette craving and cigarette nicotine levels, the effect of cigarette type × time for all cognitive outcomes was statistically nonsignificant (ps > .05). However, there remained a significant effect of cigarette type, where MS versus NMS had poorer CPT (p = .046) and N-Back Task accuracy (p = .006) but faster N-Back speed (p = .039). There were no statistically significant differences between groups on reinforcement enhancement, nicotine dependence, or smoking behavior outcomes (ps > .05).

CONCLUSIONS

Contrary to our hypotheses, results did not find a significant effect of cigarette type on the change in cognitive performance after acute smoking in nonabstinent smokers. Further studies are needed to clarify the specific pharmacological effects of nicotine and menthol on cognitive functioning.

IMPLICATIONS

The current study is the first to compare the potential enhancement of cognitive task performance after acute cigarette smoking between satiated menthol and nonmenthol cigarette smokers. Study results suggest that acute menthol cigarette use may not enhance cognitive function above and beyond nonmenthol cigarettes to increase dependence among menthol smokers. However, the contribution of other psychological factors (eg, craving, mood) and cigarette characteristics (eg, nicotine content) may be involved in cognitive function enhancement to perpetuate dependence and smoking persistence for menthol smokers.

Effects of smoking cessation treatment attendance on abstinence: The moderating role of psychologically based behavioral health conditions

Available smoking cessation treatments have shown only modest quit success. Presence of a psychologically based behavioral health condition (PBHC), such as depression, anxiety, or addiction, can impact smoking cessation treatment engagement and quit success; however, the differential effect of treatment engagement on smoking cessation outcomes across smokers with and without a PBHC is unknown. The current study examined the moderating effect presence (versus absence) of a PBHC on the relation between treatment attendance and early smoking abstinence following a 4-session smoking cessation treatment. Participants included 529 (45.9% male; Mage = 38.23 years, SD = 13.56; 75.4% White) smokers enrolled in a large randomized controlled trial evaluating the efficacy of a transdiagnostic smoking cessation treatment. A repeated-measures latent class analysis (RMLCA) was conducted to examine treatment attendance. The effects of treatment attendance, PBHC (present/absent), and their interaction were modeled on biochemically-verified point prevalence abstinence using a latent growth curve from 1-week to 1-month post-quit. The RMLCA provided evidence for three classes: Drop-outs (n = 197), Titrators (n = 89), and Completers (n = 243). A significant interaction emerged such that Completers without a PBHC were significantly more likely to be abstinent relative to Completers with a PBHC (b = 2.69, SE = 0.67, p < .001) and Titrators without a PBHC (b = 3.36, SE = 0.80, p < .001). These results provide novel data that implicate the clinical importance of treatment attendance and PBHC status on smoking abstinence.