Hypothetical Purchase Task Research Articles

Naturalistic substance use before/during MTurk research participation is associated with increased substance demand and craving.

Although crowdsourcing platforms are widely used in substance-use research, it is unclear what percentage of participants use substances at the time of participation and how this might affect data quality, behavioral outcomes, or decision making. We conducted a secondary analysis of data collected on MTurk for a two-session, within-subject experiment recruiting individuals who regularly use alcohol, cannabis, cigarettes, or opioids. We analyzed 527 observations collected across two sessions (Session 1: n = 303, Session 2: n = 224) on measures of substance use before (within 3 hr)/during participation, data quality, demand in hypothetical purchase tasks, delay discounting, and craving. Substance use before/during participation was common (35.7%). Some participants reported substance use before/during both (25.4%) or only one (20.1%) of the sessions. Between-subject analyses of the first session data revealed that participants who used substances before/during participation did not differ on quality measures yet were slower to complete the survey. Controlling for individual differences in demographic variables and typical substance use, using a substance before/during participation was associated with increased hypothetical consumption of substances when the substance was free (demand intensity) and higher craving for substances, but not delay discounting. Substance use before/during MTurk participation among individuals who regularly use substances is prevalent and may impact outcome measures or standardization across sessions in repeated measures designs. Several implications have emerged, including statistically or experimentally controlling for substance use occurring before/during participation, which could improve the validity and rigor of online substance use research, and should be considered a part of best practices. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Validity and reliability of the cigarette purchase task when participant cigarette consumption is unconstrained.

Hypothetical purchase tasks offer effective and efficient methods to assess the reinforcing value of various substances, including cigarettes. The purpose of the present study is to examine the validity and reliability of the Cigarette Purchase Task (CPT) in an experimental arrangement in which participants were receiving free cigarettes. Critical to the validity of the CPT is that those who smoke can accurately estimate how much they would smoke under varying economic constraints. Participants (N = 9) were provided free study cigarettes for 8 weeks. Participants completed the CPT once weekly. To examine the validity of the five CPT demand indices (i.e., demand intensity, Pmax, Omax, breakpoint, and α), we used a simple linear regression stratified by session number to model which of the five CPT demand indices were associated with the number of cigarettes smoked per day during Week 1 of the experiment. Significant associations in the hypothesized direction were noted across the five CPT indices, with the evidence for validity greatest for intensity, followed by Omax, Pmax, breakpoint, and α. To examine CPT test-retest reliability, we estimated interclass correlation coefficients between Sessions 1 and 4 and Sessions 5 and 8. All but one interclass correlation coefficient supported "good" or "excellent" reliability, with the only exception seen with the α index between Sessions 1 and 4, which was moderate reliability. Collectively, these results provide evidence supporting the construct validity and temporal stability/reliability of the CPT demand indices under conditions of limited economic constraint. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Moral injury among women military veterans and demand for cigarettes: A behavioral economic investigation using a hypothetical purchase task

ObjectivesUnlike the United States general population, veteran women – as opposed to veteran men – have greater smoking prevalence; yet, little is known regarding factors that influence smoking in veteran women. The purpose of this study was to begin examining the relationship between a psychological concept known as moral injury and demand for cigarettes among veteran women. MethodsVeteran women who smoke (n = 44) were recruited for this cross-sectional study from Amazon MTurk, Reddit, and a veteran-serving non-profit organization in June–July 2023. Consenting participants received $2 for completing the cigarette purchase task (CPT), Fagerstrom Test for Nicotine Dependence (FTND), and the military version of the Moral Injury Symptom Scale (MISS-M-SF). We examined five CPT demand indices and calculated a modified exponential demand model stratified by moral injury severity status (i.e., probable vs. unlikely). ResultsProbable morally injured women exhibited significantly higher relative reinforcing value (RRV) for smoking than unlikely morally injured women (F1, 920 = 9.16, p = 0.003). Average cigarette consumption at $0 (i.e., Q0) was 48.56% higher (M = 22.24 vs. M = 13.55) in probable compared to unlikely morally injured women (p = 0.04, Hedge's g = 0.74). FTND scores were significantly correlated with Pmax (i.e., demand elasticity point) and Omax (i.e., maximum expenditure) values in both populations (rs = 0.42–0.68, ps < 0.05). ConclusionsWe provide preliminary evidence of the relatively high RRV of smoking in morally injured veteran women. Continued research is needed to refine the characterization of this relationship.

The subjective value of social context in people who use cannabis.

Disordered cannabis use is linked to social problems, which could be explained by a subjective devaluation of nondrug social contexts and/or an overvaluation of cannabis-paired options relative to nondrug alternatives. To examine these hypotheses, measures to assess the subjective value of social- and/or cannabis-paired contexts were collected in people who use cannabis (n = 85) and controls (n = 98) using crowdsourcing methods. Measures included a cued concurrent choice task that presented two images (cannabis, social, social cannabis, and neutral images) paired with monetary options, hypothetical purchase tasks that included access to social parties with and without a cannabis "open bar," and the Social Anhedonia Scale (SAS). Little evidence was found to suggest that the cannabis group undervalued social contexts. People who used cannabis demonstrated a preference for social- versus neutral-cued options, and no preference for cannabis- versus social cannabis-cued options on the choice task. In addition, social party demand and SAS scores did not differ between groups. In contrast, we observed evidence for an overvaluation of cannabis context in people who use cannabis, including preference for social cannabis- versus social-cued options, and more disadvantageous choices for cannabis-cued options on the choice task, as well as more intense and inelastic demand for the social cannabis party compared to the social party. These results suggest that social problems associated with cannabis use could be at least partially explained by an overvaluation of cannabis-paired options, rather than devaluation of nondrug social-paired options, in the value calculations underlying drug use decisions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Examining Demand and Substitutability of Usual Brand Little Cigars/Cigarillos and Cigarettes in Young Adults Who Dual Use.

Cigarette and little cigar/cigarillo (LCC) dual use is popular among young people and poses a substantial health risk. What remains unclear is the abuse liability of LCCs vs. cigarettes, LCCs' substitutability for cigarettes, and the influence of flavors on the abuse liability and substitutability of LCCs. Sixty-five young adults (18-34 years) who dual use completed hypothetical purchase tasks to measure consumption of usual brand cigarettes and LCCs in 24 hours at increasing prices (demand), and LCC consumption at increasing cigarette prices (substitution). Three demand indices were calculated from raw data: breakpoint (price after which consumption reaches 0), Omax (maximum daily expenditure), and Pmax (price at maximum expenditure). Two indices were estimated using nonlinear mixed-effects modeling: intensity (consumption when free) and price-sensitivity (rate of decline in consumption as price increases). Substitution, and associations of flavored use with demand and substitution, were estimated using linear mixed models. Results indicated similar abuse liability for LCCs and cigarettes. Intensity was greater for cigarettes, but price-sensitivity was similar. Flavored LCC use was associated with lower price-sensitivity and greater intensity than unflavored. LCCs were significant substitutes for cigarettes, but the effect was small. Flavored use was not associated with substitution. Among young adults who dual use, LCCs and cigarettes had similar abuse liability, and those who used flavored had higher demand for their LCCs. A flavored cigar ban, as well as targeted prevention and cessation services for those who smoke flavored LCCs, may be important for reducing dual use in young adults. Cigarette and LCC dual use remains high among young adults. Using hypothetical purchase tasks with young adults who dual use, LCCs had abuse liability similar to cigarettes, but were only modest substitutes for cigarettes. Participants who used flavored LCCs reported greater abuse liability than those who used unflavored, but not greater substitution for cigarettes. Prevention and cessation services are needed to target LCCs in young people, particularly those smoking flavored products. A flavored cigar ban may help to reduce their demand.

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).

Latent factor structure of behavioral economic heroin and cocaine demand curves.

Research has shown that behavioral economic demand curve indices can be characterized by a two-factor latent structure and that these factors can predict dimensions of substance use. No study to date has examined the latent factor structure of heroin and cocaine demand curves. The objective of this study was to use exploratory factor analysis to examine the underlying factor structure of the facets of heroin and cocaine reinforcement derived from heroin and cocaine demand curves. Participants were 143 patients from two samples that met the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5; American Psychiatric Association [APA], 2013) criteria for opioid dependance and were undergoing medication-assisted treatment (methadone or buprenorphine). Heroin and cocaine demand curves were generated via hypothetical purchase tasks (HPT) that assessed consumption at 9 or 17 levels of prices from $0 to $500. Five facets of demand were generated from the tasks (Q0, 1/α, Pmax, Omax, and break point). Principal components analysis was used to examine the latent structure among the variables. The results revealed a two-factor solution for both heroin and cocaine demand. These factors were interpreted as persistence, consisting of 1/α, Pmax, Omax, and break point, and amplitude, consisting of Q₀ and Omax, and in one case, 1/α. Heroin factors had some predictive power for future substance use, but cocaine factors did not. These findings suggest that heroin and cocaine demand indices can be reduced to two factors indicating sensitivity and volume of consumption, and that these factors may be able to predict substance use for heroin. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Initial development and validation of a brief assessment of marijuana demand among young adult college students.

Hypothetical purchase tasks assess substance demand, but the length of purchase tasks makes repeated assessment of state-dependent changes in demand difficult, often limiting clinical utility. Although brief assessments of alcohol and cigarette demand exist, brief measures of cannabis demand do not. College students (N = 209, Mage = 19.92, SD = 1.45; 63% female; 56.9% non-Hispanic Caucasian) who reported using cannabis at least 3 days in the past month, completed an online survey including the full-length marijuana purchase task (MPT), a three-item brief assessment of marijuana demand (BAMD) assessing intensity, Omax and breakpoint, and cannabis use outcomes. Convergent and divergent validity were examined. Independent samples t tests compared demand on the BAMD and MPT based on presence or absence of cannabis use disorder (CUD) symptoms, and one-way between-subject analyses of variance compared effects of CUD severity (mild/moderate/severe) on BAMD indices. All indices were significantly correlated across both assessment measures (ps < .01). Similarly, all indices on both demand measures were significantly correlated with craving, CUD severity, and cannabis-related consequences (ps < .01); whereas only intensity and Omax were significantly correlated with cannabis use frequency (ps < .01). Individuals with (vs. without) CUD symptoms reported significantly greater intensity and Omax (ps < .01) and significant differences in CUD severity on BAMD indices were found as well (ps < .05). The BAMD demonstrated convergent and divergent validity with the MPT. Findings suggest that brief cannabis demand can be easily assessed as an indicator for high-risk cannabis use. Thus, the BAMD may be a useful and clinically relevant tool to assess cannabis demand in real-world settings. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Blinded-Dose Purchase Task: assessing hypothetical demand based on cocaine, methamphetamine, and alcohol administration

RationaleBehavioral economic drug purchase tasks quantify the reinforcing value of a drug (i.e., demand). Although widely used to assess demand, drug expectancies are rarely accounted for and may introduce variability across participants given diverse drug experiences.ObjectivesThree experiments validated and extended previous hypothetical purchase tasks by using blinded drug dose as a reinforcing stimulus, and determined hypothetical demand for experienced effects while controlling for drug expectancies.MethodsAcross three double-blind, placebo-controlled, within-subject experiments, cocaine (0, 125, 250 mg/70 kg; n=12), methamphetamine (0, 20, 40 mg; n=19), and alcohol (0, 1 g/kg alcohol; n=25) were administered and demand was assessed using the Blinded-Dose Purchase Task. Participants answered questions regarding simulated purchasing of the blinded drug dose across increasing prices. Demand metrics, subjective effects, and self-reported real-world monetary spending on drugs were evaluated.ResultsData were well modeled by the demand curve function, with significantly higher intensity (purchasing at low prices) for active drug doses compared to placebo for all experiments. Unit-price analyses revealed more persistent consumption across prices (lower α) in the higher compared to lower active dose condition for methamphetamine (a similar non-significant finding emerged for cocaine). Significant associations between demand metrics, peak subjective effects, and real-world spending on drugs also emerged across all experiments.ConclusionsOrderly demand curve data revealed differences across drug and placebo conditions, and relations to real-world measures of drug spending, and subjective effects. Unit-price analyses enabled parsimonious comparisons across doses. Results lend credence to the validity of the Blinded-Dose Purchase Task, which allows for control of drug expectancies.

Can initial experiences with drugs predict future drug abuse risks?

Initial experiences with drugs may influence an individual's motivations for continued use. This study evaluated the relationship between subjective effects elicited by an individual's first use of alcohol or cannabis, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) alcohol use disorder (AUD) or cannabis use disorder (CUD) severity, and behavioral economic demand for alcohol or cannabis. Self-reports of initial subjective effects associated with drugs were analyzed for N = 463 participants whose first substance use was either alcohol or cannabis. The likelihood that a particular subjective effect at the time of first use was associated with current AUD/CUD was assessed using ordinal logistic regression with subjective effects as predictors of DSM-5 severity. Behavioral economic demand was assessed using a hypothetical purchase task in which participants indicated their hypothetical consumption of alcohol or cannabis as a function of price. Significant associations were observed for initial subjective effects elicited by alcohol or cannabis and increased DSM-5 severity: (alcohol) relief (OR = 2.52 [95% CI 1.51-4.25], p = .0005) and (cannabis) energetic (OR = 2.31 [95% CI 3.27-55.5], p = .0004). The mean (± SEM) Pmax value for the alcohol subgroup endorsing relief ($96.22 ± $26.48) was significantly greater than the Pmax value for the alcohol subgroup not endorsing relief ($33.81 ± $12.93), t(237) = 2.276, p = .0237. These results suggest that the initial subjective effects associated with a given substance may predict the development and/or severity of substance misuse and substance use disorders (SUDs). These findings are consistent with anecdotal reports that persons with SUD feel energized by the use of substances whereas persons without SUD do not report experiencing such subjective effects upon first use. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Behavioral economic relationship between cannabis and cigarettes: Evidence from hypothetical purchase tasks.

In the United States (U.S), cannabis policies have been increasingly liberalized whereas tobacco policies have been increasingly stringent. Given the high prevalence of cannabis and tobacco dual use, there are concerns that a policy regulating one substance may unintendedly influence the other. This study examined the responsiveness of the demand for cannabis joints and cigarettes when price varied. The study included 338 adult participants (21+) who used both cannabis and tobacco and lived in one of the U.S. states with recreational cannabis legalized by the time of interview in 2019. They completed hypothetical purchase tasks to indicate the quantity desired of cannabis joints and cigarette packs 1) when only one substance was available with escalating prices and 2) when both substances were concurrently available with escalating prices of cannabis joints and a fixed price of cigarette packs. We estimated 1) the own-price elasticity of demand for each substance using nonlinear exponential demand model, and 2) the cross-price elasticity of demand at aggregate level using nonlinear exponential demand model and at individual level using log-linear demand model. The estimates for the rate of change of own-price elasticity (α) were 0.0011 (SE=0.000039, p<0.001) for cannabis joints and 0.00095 (SE=0.000037, p<0.001) for cigarette packs. The aggregate-level estimates of cross-price elasticity (I=13.032, SE=0.34, p<0.001; β=0.0029, SE=0.0021, p>0.05) suggest an independent relationship between the two substances. At individual level, 78.70% of the participants treated the two substances as independent, 17.46% as complements, and 3.85% as substitutes. For most adults who used both cannabis and tobacco in the U.S., cannabis joints and cigarettes had an independent relationship. Policies regulating the price of cannabis may not have large unintended consequences on cigarette use.

Anhedonia modulates benzodiazepine and opioid demand among persons in treatment for opioid use disorder.

Benzodiazepine (BZD) misuse is a significant public health problem, particularly in conjunction with opioid use, due to increased risks of overdose and death. One putative mechanism underlying BZD misuse is affective dysregulation, via exaggerated negative affect (e.g., anxiety, depression, stress-reactivity) and/or impaired positive affect (anhedonia). Similar to other misused substances, BZD consumption is sensitive to price and individual differences. Although purchase tasks and demand curve analysis can shed light on determinants of substance use, few studies have examined BZD demand, nor factors related to demand. This ongoing study is examining simulated economic demand for alprazolam (among BZD lifetime misusers based on self-report and DSM-5 diagnosis; n = 23 total; 14 male, 9 female) and each participant's preferred-opioid/route using hypothetical purchase tasks among patients with opioid use disorder (n = 59 total; 38 male, 21 female) who are not clinically stable, i.e., defined as being early in treatment or in treatment longer but with recent substance use. Aims are to determine whether: (1) BZD misusers differ from never-misusers on preferred-opioid economic demand, affective dysregulation (using questionnaire and performance measures), insomnia/behavioral alertness, psychiatric diagnoses or medications, or urinalysis results; and (2) alprazolam demand among BZD misusers is related to affective dysregulation or other measures. Lifetime BZD misuse is significantly (p < 0.05) related to current major depressive disorder diagnosis, opioid-negative and methadone-negative urinalysis, higher trait anxiety, greater self-reported affective dysregulation, and younger age, but not preferred-opioid demand or insomnia/behavioral alertness. Alprazolam and opioid demand are each significantly positively related to higher anhedonia and, to a lesser extent, depression symptoms but no other measures of negative-affective dysregulation, psychiatric conditions or medications (including opioid agonist therapy or inpatient/outpatient treatment modality), or sleep-related problems. Anhedonia (positive-affective deficit) robustly predicted increased BZD and opioid demand; these factors could modulate treatment response. Routine assessment and effective treatment of anhedonia in populations with concurrent opioid and sedative use disorder may improve treatment outcomes. https://clinicaltrials.gov/ct2/show/NCT03696017, identifier NCT03696017.

What influences demand for cigars among African American adult cigar smokers? Results from a hypothetical purchase task.

African Americans (AA) have historically been targeted by the tobacco industry and have the highest rates of current cigar use among racial/ethnic groups in the U.S. Yet, there is limited evidence on other factors influencing cigar use. Amongst a sample of 78 AA current cigar (any type) smokers, log-linear regression models examined correlates of cigar demand obtained from a validated behavioral economic purchase task. Mean intensity, or cigar demand when free, was 6.68 cigars (standard deviation [SD]: 8.17), while mean breakpoint, or the highest price a participant was willing to pay, was $4.62 (SD: 3.88). Mean maximum daily expenditure, Omax was $15.20 (SD: 25.73) and Pmax, the price at Omax was $5.25 (SD: 3.95). Participants aged 21 to 30 years compared to those aged 18 to 20 years, those with higher levels of dependence, and females compared to males, had a significantly higher intensity. Participants with cannabis use above the sample median in the last 30 days (4 + days) had significantly higher intensity and Omax than those below the median. Further, participants with a high school education or more had a significantly lower intensity, breakpoint, and Omax than those with less than high school education. Individuals with income below the federal poverty line (FPL) also had a significantly lower breakpoint and Omax than those above. Finally, tobacco harm perceptions were inversely associated with Pmax. Stricter policies on cigar products, such as higher taxes and product-specific harm messaging, may have an immediate and sustained impact on health disparities related to cigar use. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Behavioral economic methods predict future COVID-19 vaccination.

Increasing vaccine utilization is critical for numerous diseases, including COVID-19, necessitating novel methods to forecast uptake. Behavioral economic methods have been developed as rapid, scalable means of identifying mechanisms of health behavior engagement. However, most research using these procedures is cross-sectional and evaluates prediction of behaviors with already well-established repertories. Evaluation of the validity of hypothetical tasks that measure behaviors not yet experienced is important for the use of these procedures in behavioral health. We use vaccination during the COVID-19 pandemic to test whether responses regarding a novel, hypothetical behavior (COVID-19 vaccination) are predictive of later real-world response. Participants (N = 333) completed a behavioral economic hypothetical purchase task to evaluate willingness to receive a hypothetical COVID-19 vaccine based on efficacy. This was completed in August 2020, before clinical trial data on COVID-19 vaccines. Participants completed follow-up assessments approximately 1 year later when the COVID-19 vaccines were widely available in June 2021 and November 2021 with vaccination status measured. Prediction of vaccination was made based on data collected in August 2020. Vaccine demand was a significant predictor of vaccination after controlling for other significant predictors including political orientation, delay discounting, history of flu vaccination, and a single-item intent to vaccinate. These findings show predictive validity of a behavioral economic procedure explicitly designed to measure a behavior for which a participant has limited-to-no direct prior experience or exposure. Positive correspondence supports the validity of these hypothetical arrangements for predicting vaccination utilization and advances behavioral economic methods.

Using crowdsourcing to study the differential effects of cross-drug withdrawal for cigarettes and opioids in a behavioral economic demand framework.

Smoking rates among those who use prescribed or recreational opioids are significantly higher than the general population. Hypothesized neuropharmacological interactions between opioids and nicotine may contribute to this pattern of polysubstance use, especially during withdrawal. However, little research has examined how the withdrawal of one substance may affect the consumption of the other (i.e., cross-drug withdrawal effects). Behavioral economic demand tasks (e.g., hypothetical purchase tasks) can be used to quickly assess the value of a drug. Crowdsourcing can be a convenient tool to gain preliminary insight into different processes in substance valuation that may otherwise be impossible or prohibitively difficult to study. The purpose of the present study was to provide a preliminary examination of the effects of hypothetical withdrawal of cigarettes and opioids on the consumption of those drugs among polysubstance users. Amazon Mechanical Turk workers who reported daily smoking and at least monthly opioid use completed a series of hypothetical purchase tasks for doses of opioids and cigarettes under various withdrawal conditions. Sensitivity to the price of both drugs decreased when under withdrawal for either, indicating a higher drug value of cigarettes and opioids due to effects of cross-drug withdrawal. Nicotine and opioid dependence severity, impulsive choice, and riskiness were also positively related to drug purchasing. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Expert Demand for Consumer Sleep Technology Features and Wearable Devices: A Case Study

Global demand for sleep-tracking wearables, or consumer sleep technologies (CSTs), is steadily increasing. CST marketing campaigns often advertise the scientific merit of devices, but these claims may not align with consensus opinion from sleep research experts. Consensus opinion about CST features has not previously been established in a cohort of sleep researchers. This case study reports the results of the first survey of experts in real-world sleep research and a hypothetical purchase task (HPT) to establish economic valuation for devices with different features by price. Forty-six (N = 46) respondents with an average of 10 ± 6 years’ experience conducting research in real-world settings completed the online survey. Total sleep time was ranked as the most important measure of sleep, followed by objective sleep quality, while sleep architecture/depth and diagnostic information were ranked as least important. A total of 52% of experts preferred wrist-worn devices that could reliably determine sleep episodes as short as 20 min. The economic value was greater for hypothetical devices with a longer battery life. These data set a precedent for determining how scientific merit impacts the potential market value of a CST. This is the first known attempt to establish a consensus opinion or an economic valuation for scientifically desirable CST features and metrics using expert elicitation.

0084 Consumer Sleep Technologies (CSTs) for Use in Real-World Sleep Research Environments: A Survey of Experts

Abstract Introduction Consumer sleep technologies (CSTs) have been designed for the everyday consumer rather than as a reliable scientific tool, but are becoming sufficiently accurate for use in the research landscape. Despite the growing conversation about the viability of CSTs for research, manufacturers may not be interested in increasing scientific accuracy in their devices unless doing so is expected to result in greater consumer sales. To establish concensus opinion about important device features and economic demand for CSTs for sleep research, professional opinions from sleep medicine experts were elicited to identify what metrics and device features for measuring sleep outside the laboratory are most desirable to the scientific community. This is the first known attempt to establish consensus opinion or economic valuation for scientifically-desirable CST device features and metrics using expert elicitation within the sleep science community. Methods Sleep and/or circadian researchers with experience collecting data in real-world environments were recruited from international academic, government, clinical, and industry research backgrounds using social media and nonprobability sampling techniques. The anonymous survey was hosted through the online tool Qualtrics between April to July 2021. Exposure to survey recruitment techniques were tracked through Twitter Analytics and Qualtrics. Respondents were asked to rank sleep metrics and consumer sleep technology features to estimate their average level of importance (low, medium, or high). A hypothetical purchase task estimated economic valuation for devices with different features by price. Results Survey respondents were 46 real-world sleep research experts with, on average, 11 (range: 1-27; mode: 10) years of experience conducting human research related to sleep in real-world environments. Sixty-six percent (66%) preferred wrist-worn devices and 52% indicated that sleep onset/offset could be determined from a period of inactivity ≤20 minutes. Eighty-three percent (83%) collected data related to napping. Forty-four percent (44%) preferred a continuous observation window between 4-14 days long. Respondents ranked battery life as the most important factor limiting the observation window. Total sleep time was ranked as the most important measure of sleep followed by objective sleep quality while sleep architecture/depth and diagnostic information were ranked as least important. Economic value was greater for hypothetical devices with longer battery life. Conclusion Real-world sleep experts prefer wrist-worn devices that can reliably estimate sleep and short naps. Battery life is important. Based on responses to both rank order questions and the hypothetical purchase task, estimating sleep depth is less important to researchers than measures of sleep duration and quality. These data set a precedent for future studies to determine the scientific relevance of metrics or how scientific endorsement of a product impacts the potential market value of a CST device. Support (If Any) NA

Effects of Very Low Nicotine Content Cigarette use on Cigarette Reinforcement among Smokers with Serious Mental Illness

BackgroundAmong people without psychiatric disorders who smoke, very low nicotine content (VLNC) cigarette use reduces cigarette reinforcement. Whether this is true of people with serious mental illness (SMI) who smoke is unknown. Using a hypothetical purchase task, we compared the effects of 6-week use of VLNC versus normal nicotine content (NNC) cigarettes on study cigarette and usual brand (UB) cigarette reinforcement among people with SMI who smoke. MethodsAfter a baseline period of UB cigarette use, participants with SMI (n = 58) were randomized to use NNC cigarettes (15.8 mg nicotine/g tobacco) or VLNC cigarettes (0.4 mg/g) for 6 weeks. At Week 6, they completed the CPT for both their assigned study cigarette and UB. The groups were compared on demand intensity (number of cigarettes purchased at no cost) and elasticity (rate of decline in demand as price increases) using extra sum-of-squares F-tests. The effects of treatment on demand indices while controlling for covariates were assessed using hierarchical regression. ResultsAt Week 6, intensity of demand for study cigarettes was lower and elasticity was higher for the VLNC group relative to the NNC group (p < 0.0001). Furthermore, intensity of demand for UB cigarettes was lower for participants in the VLNC group relative to participants in the NNC group (p < 0.01). When controlling for baseline cigarettes per day, intensity remained significantly different for study cigarettes and usual brand cigarettes at Week 6. ConclusionA nicotine reduction policy may reduce cigarette reinforcement in this vulnerable population.

A behavioral economic analysis of smartwatches using internet‐based hypothetical demand

Hypothetical purchase tasks (HPTs) and operant demand analyses provide a promising methodology to determine how consumers value new products. This study used a demand analysis to determine value differences between Apple or Fitbit smartwatches and those same watches with hypothetical “added‐value” features. There were no differences between baseline smartwatches and those with additional features. However, participants who owned Apple products had significantly higher demand for Apple smartwatches, while this difference did not exist for Fitbit users. HPTs and demand analyses were sensitive enough to determine differences related to brand loyalty, but did not detect differences in added‐value of hypothetical features.

Getting high to cope with COVID-19: Modelling the associations between cannabis demand, coping motives, and cannabis use and problems

During the COVID-19 pandemic, people may use substances like cannabis for enhancement or coping purposes. Behavioral economic demand for a substance is a key determinant of its use and misuse and can be measured via hypothetical purchase tasks. Previous research suggests that motivations to use a substance play a mediational role between elevated substance demand and problems, but comparable mechanistic research has yet to be done in the COVID-19 context and on the effects of cannabis demand on cannabis use patterns. Participants (n = 137) were recruited via the online crowdsourcing platform Prolific. Participants completed measures of cannabis use and problems, motivations for cannabis use, and the Marijuana Purchase Task. Two indices of demand, Persistence (i.e., sensitivity to increasing cost of cannabis) and Amplitude (i.e., consumption of cannabis at unrestricted cost), were related to increased cannabis problems via the use motive of coping during the COVID-19 pandemic. This model did not support the mediational role of enhancement motives. Those with increased cannabis demand who tend to use cannabis to cope are at increased risk of experiencing negative cannabis-related consequences during the COVID-19 pandemic.