Illegal product purchasing in the experimental tobacco marketplace: Effects of menthol cigarette and cigarette ventilation ban.

BACKGROUND: Tobacco regulations may increase demand for illegal cigarettes. We use the Experimental Tobacco Marketplace to estimate the impact of banning menthol cigarettes (Experiment 1) and decreasing allowable cigarette filter ventilation levels (Experiment 2). METHODS: Crowdsourced participants were randomized into one of four groups (2×2 factorial design). Experiment 1 included menthol availability (yes/no) by purchasing option (legal only vs illegal available). Experiment 2 included filter-vented cigarettes availability (yes/no) by purchasing option (legal only vs illegal available). Participants were given an individualized budget to purchase tobacco. Percent budget spent was the outcome measure. RESULTS: Experiment 1, with a legal marketplace only, non-menthol cigarette purchasing was lower (p=0.010) and electronic-cigarette purchasing was higher (p=0.016), when cigarettes were banned compared to when they were available. With an illegal marketplace, switching to legal non-menthol cigarettes was less likely (p<0.001) and purchasing illegal menthol cigarettes was higher (p<0.001), when cigarettes were banned compared to when they were available. Experiment 2, with a legal marketplace only, cigarette purchasing was lower (p=0.010), when the participant's filtered vented cigarettes were banned compared to when they were available. With an illegal marketplace, purchasing the legal low-ventilated cigarette option was lower (p<0.001) and significant differences in illegal filter-vented cigarette purchasing were not observed, when their filter-vented cigarettes were banned compared to when they were available legally. CONCLUSIONS: Without an illegal option, both restrictions decreased cigarette purchasing, but the menthol ban increased e-cigarette purchasing. With an illegal option, a menthol ban increased illegal cigarette purchasing, but decreasing filter ventilation did not.

Episodic future thinking in type 2 diabetes: Further development and validation of the Health Information Thinking control for clinical trials.

Episodic Future Thinking (EFT) reduces delay discounting and may have the potential as a clinical tool to increase the likelihood of health-promoting behaviors. However, evaluations of EFT in clinical settings require control conditions that match the effort and frequency of cue generation, as well as participants' expectations of improvement. The Health Information Thinking (HIT) control addresses these issues, but how this control affects delay discounting in individuals with diabetes and obesity when utilizing diabetes-management specific health-information vignettes is unknown. Moreover, little research has explored whether EFT reduces delay discounting in individuals with type 2 diabetes. To this end, we examined the impact of EFT, HIT, and a secondary no-cue control condition (NCC; assessments as usual) on delay discounting in 434 adults with self-reported type 2 diabetes and obesity recruited using Amazon Mechanical Turk. After completing an initial screening questionnaire, eligible participants reported demographics, then were randomized to EFT, HIT, or NCC conditions. Following the generation of seven EFT or HIT cues, participants assigned to EFT or HIT conditions completed a delay discounting task while imagining EFT or HIT cues; no-cue participants completed the task without cues. EFT participants demonstrated significantly lower delay discounting levels than HIT or NCC participants; no differences in delay discounting between HIT and NCC participants were observed. These results suggest that engaging in EFT, but not diabetes-specific HIT, results in lower delay discounting in adults with type 2 diabetes and obesity. This provides further evidence for the appropriateness of the HIT control for clinical trials examining the effect of EFT on delay discounting in adults with self-reported type 2 diabetes.

COVID-19-related financial scarcity is associated with greater delay discounting but not probability discounting.

Prior studies suggest that scarcity increases delay discounting (devaluation of delayed outcomes) and disturbs other decision-making processes. Evidence on the effect of COVID-19 on delay discounting is mixed. Also, no study has examined the effect of COVID-19-related scarcity on probability discounting (devaluation of probabilistic outcomes). The goal of the study was to examine cross-sectional associations between financial impact during the COVID-19 pandemic, delay discounting, and probability discounting. During April 2020, 1012 participants with low income were recruited on Amazon Mechanical Turk and completed measures of delay and probability discounting, perceived COVID-19-related financial impacts, and food security. Regression analyses indicate that compared to those with no COVID-19-related financial impacts, those with severe COVID-19-related financial impacts had greater delay discounting of money and greater delay discounting of a grocery gift card. Also, greater food insecurity in the past month was associated with greater delay discounting of a grocery gift card but not delay discounting of money. Perceived COVID-19 related financial impact was not associated with probability discounting. Combined with laboratory experiments, this study provides additional support for the idea that feelings of scarcity may increase delay discounting. However, as this study was observational, no assumptions of causality should be made about the specific effect of COVID-19 on delay discounting.

A "sludge audit" for health system colorectal cancer screening services.

OBJECTIVES: "Sludge," or the frictions or administrative burdens that make it difficult for people to attain what they want or need, is an unexplored health care delivery factor that may contribute to deficiencies in colorectal cancer (CRC) screening. We piloted a method to identify and quantify sludge in a southeastern US health system's delivery of CRC screening services. STUDY DESIGN: Mixed methods sludge audit. METHODS: We collected and analyzed quantitative (insurance claims, electronic health record, and administrative files) and qualitative (stakeholder interviews and process observations) data associated with CRC screening for instances of sludge. Because they contribute to sludge and reduce system capacity for high-value screening, we also evaluated low-value CRC screening processes. RESULTS: Although specific results were likely amplified by effects of the COVID-19 pandemic, the sludge audit revealed important areas for improvement. A 60.4% screening rate was observed. Approximately half of screening orders were not completed. The following categories of sludge were identified: communication, time, technology, administrative tasks, paperwork, and low-value care. For example, wait times for screening colonoscopy were substantial, duplicate orders were common, and some results were not accessible in the electronic health record. Of completed screenings, 32% were low-value and 38% were associated with low-value preoperative testing. There was evidence of a differential negative impact of sludge to vulnerable patients. CONCLUSIONS: Our sludge audit method identified and quantified multiple instances of sludge in a health system's CRC screening processes. Sludge audits can help organizations to systematically evaluate and reduce sludge for more effective and equitable CRC screening.

Struggling With Recovery From Opioids: Who Is at Risk During COVID-19?

OBJECTIVES: Individuals in recovery from opioid use disorder (OUD) are vulnerable to the impacts of the COVID-19 pandemic. Recent findings suggest increased relapse risk and overdose linked to COVID-19-related stressors. We aimed to identify individual-level factors associated with COVID-19-related impacts on recovery. METHODS: This observational study (NCT04577144) enrolled 216 participants who previously partook in long-acting buprenorphine subcutaneous injection clinical trials (2015-2017) for OUD. Participants indicated how COVID-19 affected their recovery from substance use. A machine learning approach Classification and Regression Tree analysis examined the association of 28 variables with the impact of COVID-19 on recovery, including demographics, substance use, and psychosocial factors. Ten-fold cross-validation was used to minimize overfitting. RESULTS: Twenty-six percent of the sample reported that COVID-19 had made recovery somewhat or much harder. Past-month opioid use was higher among those who reported that recovery was harder compared with those who did not (51% vs 24%, respectively; P < 0.001). The final classification tree (overall accuracy, 80%) identified the Beck Depression Inventory (BDI-II) as the strongest independent risk factor associated with reporting COVID-19 impact. Individuals with a BDI-II score ≥10 had 6.45 times greater odds of negative impact (95% confidence interval, 3.29-13.30) relative to those who scored <10. Among individuals with higher BDI-II scores, less progress in managing substance use and treatment of OUD within the past 2 to 3 years were also associated with negative impacts. CONCLUSIONS: These findings underscore the importance of monitoring depressive symptoms and perceived progress in managing substance use among those in recovery from OUD, particularly during large-magnitude crises.

Presentation matters: Effects of cigarette purchase task design on systematic data and purchasing behavior.

Hypothetical purchase tasks (HPTs) are effective tools for evaluating participants' demand for substances. The present study evaluated the effect of task presentation on producing unsystematic data and purchasing behavior in a sample of individuals who smoke cigarettes. Participants (n = 365) were recruited from Amazon Mechanical Turk and randomly assigned to complete two of three HPT presentations: List (prices on one page in an increasing order), Ascending (one price per page in an increasing order), or Random (one price per page in a random order). We evaluated outcomes using a mixed model regression with a random effect for participants. We observed a significant effect of task presentation on passing the criterion assessing consistency in effects of contiguous prices (i.e., Bounce; X²(2) = 13.31, p = .001). A significant effect of task presentation on Trend or Reversals from Zero was not observed. For purchasing behavior, we observed a significant effect of task presentation on R², X²(2) = 17.89, p < .001; BP1, X²(2) = 13.64, p = .001; ln(α), X²(2) = 332.94, p < .001; and ln(Omax), X²(2) = 20.26, p < .001; we did not observe a significant effect of task presentation on ln(Q0) or ln(Pmax). We recommend against using the Random HPT presentation to avoid unsystematic data. While the List and Ascending presentations do not differ across unsystematic criteria or purchasing behavior, the List presentation may be preferred due to participant experience. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Is perception reality? Associations among "light" cigarettes and number of cigarettes smoked per day.

INTRODUCTION: Cigarette filter ventilation and light descriptors are associated with lowered perceptions of risk and smoking more cigarettes per day (CPD). This study examined the relationship between usual cigarette ventilation, perception, and CPD. METHODS: A crowdsourced sample (N = 995) of individuals who smoke higher-ventilated (=>20% ventilation) or lower-ventilated (=<10% ventilation) cigarettes identified their usual cigarette as "light" or "full flavor", and reported their average CPD. RESULTS: We found: 1) no association between ventilation status and perception of light versus full flavor (AUC=0.58), with the inaccurate perception being more prevalent in younger individuals (p = 0.041) and those who smoke L&M (73%, p < 0.001) and Camel (61%, p = 0.006) brands; and 2) perception, but not ventilation of usual cigarette, was significantly associated with CPD (p = 0.006), with individuals who perceived their cigarettes as light reporting an average of 13% more cigarettes per day (2.6 CPD), compared to those who perceived their cigarette as full flavor. CONCLUSIONS: Perceptions of light versus full-flavor, but not ventilation status, predicted CPD. These findings may inform anti-smoking health communication strategies and smoking cessation interventions. IMPLICATIONS: Tobacco control policies should eradicate the perception of cigarettes as light or full-flavored. Future research investigating the associations between cigarette filter ventilation and smoking behavior should consider the confounding effects that may lie in an individual's perceptions of their cigarettes.

Long-term recovery from opioid use disorder: recovery subgroups, transition states and their association with substance use, treatment and quality of life.

BACKGROUND AND AIMS: Limited information exists regarding individual subgroups of recovery from opioid use disorder (OUD) following treatment and how these subgroups may relate to recovery trajectories. We used multi-dimensional criteria to identify OUD recovery subgroups and longitudinal transitions across subgroups. DESIGN, SETTING AND PARTICIPANTS: In a national longitudinal observational study in the United States, individuals who previously participated in a clinical trial for subcutaneous buprenorphine injections for treatment of OUD were enrolled and followed for an average of 4.2 years after participation in the clinical trial. MEASUREMENTS: We identified recovery subgroups based on psychosocial outcomes including depression, opioid withdrawal and pain. We compared opioid use, treatment utilization and quality of life among these subgroups. FINDINGS: Three dimensions of the recovery process were identified: depression, opioid withdrawal and pain. Using these three dimensions, participants were classified into four recovery subgroups: high-functioning (minimal depression, mild withdrawal and no/mild pain), pain/physical health (minimal depression, mild withdrawal and moderate pain), depression (moderate depression, mild withdrawal and mild/moderate pain) and low-functioning (moderate/severe withdrawal, moderate depression and moderate/severe pain). Significant differences among subgroups were observed for DSM-5 criteria (P < 0.001) and remission status (P < 0.001), as well as with opioid use (P < 0.001), treatment utilization (P < 0.001) and quality of life domains (physical health, psychological, environment and social relationships; Ps < 0.001, Cohen's fs ≥ 0.62). Recovery subgroup assignments were dynamic, with individuals transitioning across subgroups during the observational period. Moreover, the initial recovery subgroup assignment was minimally predictive of long-term outcomes. CONCLUSIONS: There appear to be four distinct subgroups among individuals in recovery from OUD. Recovery subgroup assignments are dynamic and predictive of contemporaneous, but not long-term, substance use, substance use treatment utilization or quality of life outcomes.

Narrative theory v: Narratives about penalties resulting from illegal tobacco purchases increase psychological distress.

Previous research with individuals with substance use disorder indicated that different narratives have different effects on one's behaviors and decision-making. One question that remains unanswered is whether simulating real-world consequences of illegal purchases using narratives would induce psychological distress levels as expected in real-world situations. The present experiment used a between-group design to study how different narratives regarding penalties impact smokers' affective state and more specifically, psychological distress. Participants (N = 93) were randomized into one of the three groups: (a) legal tobacco purchases (LTP), (b) illegal tobacco purchases with fines (ITP_F), and (c) illegal tobacco purchases with fines, criminal record, and negative public exposure (ITP_F + CR + NPE) to complete an online survey. The survey contained one narrative randomly assigned to each participant, demographic questions, the heaviness of smoking index, the Positive and Negative Affect Schedule (PANAS), and a single-item psychological distress question. The results showed that (a) narratives about making illegal tobacco purchases significantly increased psychological distress when compared to narratives about making LTP, (b) no differences were observed on psychological distress and negative affective state between a narrative describing a fine and a narrative describing a fine, a criminal record, and negative public exposure, and (c) a narrative about a criminal record had the greatest effect on psychological distress among the different narratives about penalty types. Narratives involving illegal purchases increase psychological distress, which varies according to the hypothetical penalties described. More research regarding the use of narratives on decision-making and purchasing of hypothetical substances is warranted. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Illegal Experimental Tobacco Marketplace II: effects of vaping product bans - findings from the 2020 International Tobacco Control Project.

SIGNIFICANCE: Restrictive e-cigarette policies may increase purchases from illegal sources. The Illegal Experimental Tobacco Marketplace (IETM) allows examination of how restrictions impact illegal purchases. We investigated (1) the effect of a vaping ban, total flavour vaping ban and partial flavour vaping ban on the probability of purchasing illegal vaping products among different regulatory environments (USA, Canada and England) and tobacco user types (cigarette smokers, dual users and e-cigarette users); and (2) the relation between ban endorsement and illegal purchases. METHODS: Participants (N=459) from the International Tobacco Control Survey rated their support of bans and chose to purchase from a hypothetical legal experimental tobacco marketplace or IETM under control and the three ban conditions. RESULTS: In total, 25% of cigarette smokers, 67% of dual users and 79% of e-cigarette users made IETM purchases. Cross-country comparisons depicted dual users from Canada (OR: 19.8), and e-cigarette users from the USA (OR: 12.9) exhibited higher illegal purchases odds than the same user type in England. Within-country comparisons showed e-cigarette and dual users are more likely to purchase from the IETM than cigarette smokers in the most restrictive condition, with the largest effects in e-cigarette users (England-OR: 1722.6, USA-OR: 22725.3, Canada-OR: 6125.0). Increased opposition towards partial or total flavour ban was associated with increased IETM purchasing in the corresponding condition. CONCLUSIONS: Vaping restrictions may shift users' preference to the illegal marketplace in a regulatory environment. Evidence of the IETM generalisability in a geographically dispersed sample enhances its utility in tobacco regulatory science.

Understanding data quality: Instructional comprehension as a practical metric in crowdsourced investigations of behavioral economic cigarette demand.

Crowdsourcing platforms allow researchers to quickly recruit and collect behavioral economic measures in substance-using populations, such as cigarette smokers. Despite the broad utility and flexibility, data quality issues have been an object of concern. In two separate studies recruiting cigarette smokers, we sought to investigate the association between a practical quality control measure (accuracy on an instruction quiz), on internal consistency of number of cigarettes smoked per day and purchasing patterns of tobacco products in an experimental tobacco marketplace (ETM; Study 1), and in a cigarette purchase task (CPT; Study 2). Participants (N = 312 in Study 1; N = 119 in Study 2) were recruited from Amazon mechanical turk. Both studies included task instructions, a quiz, a purchase task, cigarette usage and dependence questions, and demographics. The results show that participants who answered all instruction items correctly: (a) reported the number of cigarettes per day more consistently (partial η² = 0.11, p < .001, Study 1; partial η² = 0.09, p = .016, Study 2), (b) demonstrated increased model fit among the cigarette demand curves (partial η² = 0.23, p < .001, Study 1; partial η² = 0.08, p = .002, Study 2), and purchased tobacco products in the ETM more consistently with their current usage. We conclude that instruction quizzes before purchase tasks may be useful for researchers evaluating demand data. Instruction quizzes with multiple items may allow researchers to choose the level of data quality appropriate for their studies. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Episodic Future Thinking about Smoking-Related Illness: A Preliminary Investigation of Effects on Delay Discounting, Cigarette Craving, and Cigarette Demand.

Cigarette smokers show excessive delay discounting (devaluation of delayed rewards), which may contribute to tobacco use disorder. Episodic future thinking (EFT), or mental simulation of future events, has been shown to reduce both delay discounting and laboratory smoking behavior. Traditionally, EFT involves vividly imagining positive future events. In this preliminary investigation, we examined the effects of EFT specifically about smoking-related illness (SRI) on delay discounting, cigarette craving, and behavioral economic demand for cigarettes. In a 2 (episodic thinking) × 2 (smoking-related illness) factorial design, we randomly assigned smokers from Amazon Mechanical Turk to one of two EFT groups: EFT alone or EFT + SRI; or one of two episodic "recent" thinking (ERT) control groups: ERT alone or ERT + SRI. Both EFT groups generated and imagined positive future events, while both ERT groups imagined real events from the recent past. Both EFT + SRI and ERT + SRI groups imagined these events while also experiencing SRI symptoms. Participants then completed assessments of delay discounting, cigarette craving, and measures of cigarette demand. We observed significant main effects on delay discounting of both EFT (reduced discounting) and SRI (increased discounting), as well as significant main effects of both EFT and SRI on cigarette craving (in both cases, reduced craving). No significant main effect of EFT was observed on cigarette demand measures, although we observed a main effect of SRI on quantity of demand when cigarettes were free (Q0) (reduced demand). In all analyses, we observed no significant EFT × SRT interactions, indicating that these variables operate independently of one another. These methods may be adapted for use in clinical treatment to aid in smoking cessation interventions.

Recovery from opioid use disorder: A 4-year post-clinical trial outcomes study.

BACKGROUND: Opioid use disorder (OUD) seriously impacts public health in the United States. However, few investigations of long-term outcomes following treatment with medication for OUD exist. Additionally, these studies have prioritized opioid use and treatment utilization outcomes, and a gap in knowledge regarding long-term, multidimensional trajectories of OUD recovery exists. This study investigated a diverse array of outcomes for individuals with OUD at an average of 4.2 years post clinical trial participation. METHODS: Individuals who previously participated in long-acting buprenorphine subcutaneous injection clinical trials (NCT023579011; NCT025100142; NCT02896296) and enrolled in The Remission from Chronic Opioid Use-Studying Environmental and SocioEconomic Factors on Recovery (RECOVER; NCT03604861) Study participated in a follow up assessment (n = 216). Substance use, psychosocial, opioid dependence, and delay discounting outcomes were assessed. Regression analyses were conducted to determine significant associations between psychosocial/opioid dependence variables and both recent opioid use and delay discounting. RESULTS: The majority of participants reported abstinence from opioids since the last RECOVER study assessment (mean 2.26 years; 55%) and in the past 30 days (69%). Participants reported low levels of depression and psychological distress. Positive associations between depression and opioid craving with past 30-day opioid misuse and delay discounting, and negative associations between quality of life and treatment effectiveness with these outcomes were observed. CONCLUSIONS: This study examined longer term OUD recovery outcomes. Participants reported high levels of abstinence from opioids and psychosocial functioning. These encouraging results highlight the multidimensional nature of recovery from OUD, and further support the effectiveness of buprenorphine as an OUD treatment.

Future thinking to decrease real-world drinking in alcohol use disorder: Repairing reinforcer pathology in a randomized proof-of-concept trial.

Reinforcer Pathology theory proposes that expanding the temporal window of reinforcement (i.e., reducing delay discounting) using episodic future thinking (EFT) would decrease alcohol consumption. However, evidence of effectiveness in real-world settings is lacking. Using a randomized proof-of-concept field trial, the current study examined the effect of expanding the temporal window of reinforcement, using remotely delivered EFT, on decreasing real-world alcohol consumption among individuals with alcohol use disorder (AUD). Fifty-two individuals (9 females) aged 18-65 years who met the DSM-5 criteria for moderate or severe AUD and aimed to drink in moderation or abstain from drinking completed the study and were included in analysis. EFT significantly (p = .031) reduced alcohol consumption (mean change of consumption pre-post intervention = -2.18 drinks/day) compared to control episodic recent thinking (ERT; mean change of -0.52 drinks/day). Changes in discounting rates pre-post intervention significantly predicted changes in alcohol consumption (coef. = .424, 95% CI [.043-.813], p = .030) even after controlling for age, gender, race, income, education, marital status, and family history of addiction. Overall satisfaction across groups was rated as 3.92 on a 1 to 5-point scale, suggesting that the current remote approach is feasible and acceptable. The current findings were congruent with the theory, Reinforcer Pathology, that EFT expands the temporal window and decreases alcohol consumption, and the remote approach was considered feasible and acceptable. We believe the present study contributes new knowledge with tangible benefits for scientifically understanding and better defining novel interventions that may be clinically deployed to improve treatment outcomes. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The experimental tobacco marketplace: Effects of low-ventilated cigarette exposure.

OBJECTIVES: Regulating filter ventilation will change the relative reinforcing value of products resulting in nicotine/tobacco users facing the explore/exploit dilemma (ie, choice between unfamiliar and familiar options). This study examined the effects of price increases in higher-ventilated cigarettes (HVCs) and exposure to lower-ventilated cigarettes (LVCs) on explore/exploit patterns of tobacco-product purchasing in the Experimental Tobacco Marketplace (ETM). METHODS: HVC smokers (N = 20) completed one assessment session and 3 ETM sessions separated by weeks of at-home LVC exposure. In each ETM session, participants made 7-days of tobacco-product purchases as HVCs price increased across trials. RESULTS: Prohibitive prices of HVC decreased the likelihood of HVCs purchases and increased the likelihood of LVC purchases. Initial exposure (week 1) to LVC reduced the number of cigarettes purchased when HVC prices were high and increased exploration of alternative tobacco products. Successive exposure to LVC (repeated access in weeks 2,5,6,9,10) decreased likelihood of HVCs and alternative product purchases and increased the likelihood of LVCs purchases. CONCLUSIONS: Regulating filter ventilation may initially increase exploration of alternative tobacco products but lead to exploitation of LVCs over time. Tobacco control strategies should take advantage of this transition period when smokers seek information on unfamiliar products to implement harm reduction strategies.

E-liquid purchase as a function of workplace restriction in the experimental tobacco marketplace.

E-cigarette use is prohibited in most smoke-free environments. The effect of this policy on tobacco consumption could be examined using the Experimental Tobacco Marketplace (ETM). The ETM allows observation of policy on smokers' purchasing behavior under conditions that simulate "real-world" circumstances. A within-subject design was used to evaluate the effect of workplace policy (Vaping Allowed vs. Not Allowed) and nicotine concentration (24 mg/mL vs. 0 mg/mL) on tobacco product consumption. Participants (n = 31) completed one sampling and two ETM/workplace sessions per week for 2 weeks. During the sampling session, participants were given an e-cigarette with a 2-day supply of a commercially available e-liquid of their preferred flavor. Before purchasing, participants were informed whether e-cigarette use was permitted. During the four ETM sessions, participants purchased for the following 24 hr, including the 4-hr work shift that started immediately after buying products in the ETM. The workplace session consisted of data entry tasks in a mock office environment. Participants could use any purchased tobacco products during two 15-min breaks. Condition order was counterbalanced. The results show that permitting E-cigarette use in the workplace increased e-liquid purchase on average, but nicotine concentration had no effect on e-liquid demand. Cigarette demand was unaltered across conditions. The present study suggests that allowing e-cigarette use in the workplace would increase demand for e-liquid regardless of nicotine strength. However, it would not change conventional cigarette demand. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Internal Validity of Two Promising Methods of Altering Temporal Orientation among Cigarette Smokers.

Relapse to smoking continues to be among the most urgent global health concerns. Novel, accessible, and minimally invasive treatments to aid in smoking cessation are likely to improve the reach and efficacy of smoking cessation treatment. Encouraging prospection by decreasing delay discounting (DD) is a new therapeutic target in the treatment of smoking cessation. Two early-stage interventions, delivered remotely and intended to increase prospection, decrease DD and promote cessation are Episodic Future Thinking (EFT) and Future Thinking Priming (FTP). EFT and FTP have demonstrated at least modest reductions in delay discounting, but understanding whether these interventions are internally valid (i.e., are accomplishing the stated intention) is key. This study examined the internal validity of EFT and FTP. Participants (n = 20) seeking to quit smoking were randomly assigned to active or control conditions of EFT and FTP. Linguistic Inquiry Word Count (LIWC2015) was used to examine the language participants used while engaged in the tasks. Results revealed significant differences in the language participants used in the active and control conditions. Women employed more words than men, but no other demographic differences were found in language. The active conditions for both tasks showed a greater emphasis on future orientation. Risk-avoidance was significantly higher in the active vs. control condition for EFT. Remote delivery of both EFT and FTP was valid and feasible as participants adhered to instructions in the remote prompts, and trends in DD were in the expected directions.

Choice bundling, unpacked: Observed and predicted effects on intertemporal choice in an additive model of hyperbolic delay discounting.

One method known to increase preference for larger, later rewards (LLRs) over smaller, sooner rewards (SSRs) is choice bundling, in which a single choice produces a series of repeating consequences over time. The present study examined whether effects of choice bundling on preference for LLRs: (1) increase with the number of rewards in the bundle (i.e., bundle size); (2) are independent of differences in reward magnitude between conditions; and (3) accord with predictions of an additive model of hyperbolic delay discounting, in which the value of a bundle of rewards can be expressed as the summed discounted value of all rewards in that bundle. Participants (N = 252) completed a choice task to assess valuation of monetary LLRs at bundle sizes of 1 (control), 3, and 9 rewards per choice (ascending/descending order counterbalanced). To control for the magnitude effect, the total reward amounts were held constant across conditions. Choice bundling significantly increased LLR preference (p < .001), with the largest effect observed at the largest bundle size. The descending bundle-size order produced significantly greater LLR preference than the ascending order (p < .05), although order did not significantly interact with bundle size. Difference scores between observed measures and those predicted by an additive model of hyperbolic discounting were small and not significantly different than zero, but were not equivalent to zero. Future research should investigate the clinical utility of choice bundling for reducing the maladaptive health behavior (e.g., substance use) with which delay discounting is associated.