Sexual discounting: A systematic review of discounting processes and sexual behavior

Empirical examination of working memory performance and its neural correlates in relation to delay discounting in two large samples

The neurobiological basis of working memory and delay discounting are theorized to overlap, but few studies have empirically examined these relations in large samples. To address this, we investigated the association of neural activation during an fMRI N-Back working memory task with delay discounting area, as well as in- and out-of-scanner working memory measures. These analyses were conducted in two large task fMRI datasets, the Human Connectome Project and the Adolescent Brain Cognitive Development Study. Although in- and out-of-scanner working memory performance were significantly associated with N-back task brain activation regions, contrary to our hypotheses, there were no significant associations between working memory task activation and delay discounting scores. These findings call into question the extent of the neural overlap in delay discounting and working memory and highlight the need for more investigations directly interrogating overlapping and distinct brain regions across cognitive neuroscience tasks.

R2 should not be used to describe behavioral-economic discounting and demand models

Literature concerning operant behavioral economics shows a strong preference for the coefficient of determination (R2) metric to (a) describe how well an applied model accounts for variance and (b) depict the quality of collected data. Yet R2 is incompatible with nonlinear modeling. In this report, we provide an updated discussion of the concerns with R2. We first review recent articles that have been published in the Journal of the Experimental Analysis of Behavior that employ nonlinear models, noting recent trends in goodness-of-fit reporting, including the continued reliance on R2. We then examine the tendency for these metrics to bias against linear-like patterns via a positive correlation between goodness of fit and the primary outputs of behavioral-economic modeling. Mathematically, R2 is systematically more stringent for lower values for discounting parameters (e.g., k) in discounting studies and lower values for the elasticity parameter (α) in demand analysis. The study results suggest there may be heterogeneity in how this bias emerges in data sets of varied composition and origin. There are limitations when using any goodness-of-fit measure to assess the systematic nature of data in behavioral-economic studies, and to address those we recommend the use of algorithms that test fundamental expectations of the data.

Associations between delay discounting and unhealthy behaviors in substance use recovery

BACKGROUND

Research on delay discounting (DD) is mixed on whether DD is a domain-specific component related to specific behaviors or a domain-general process that cuts across various behaviors. A pivotal group to test the associations between DD and unhealthy behaviors is individuals in recovery from substance use disorders (SUD), as they are moving away from a disorder toward a healthier state.

METHODS

Individuals in SUD recovery (n = 317) completed the Temptation Scale, the Health Behaviors Questionnaire, and an Adjusting Delay Discounting Task. An exhaustive model space search was performed using linear regression to examine associations between DD with temptation, engagement in unhealthy behaviors, and the total number of unhealthy behaviors participants engage in. We also tested whether remission status is associated with the total number of unhealthy behaviors participants engage in.

RESULTS

Results revealed that DD was positively associated with poor eating (p<.001), physical inactivity (p=.003), financial irresponsibility (p<.001), risky behaviors (p<.001), lack of personal development goals (p<.001), lack of household savings (p=.004), and lack of health behaviors (p=.003). DD was also positively associated with the total number of unhealthy behaviors participants engage in (p<.001). Participants who were not in remission engaged in more unhealthy behaviors compared to those who were in remission (p<.001).

CONCLUSION

In a sample of individuals in recovery from SUD, DD is not domain-specific and undergirds engagement in several maladaptive health behaviors that can negatively impact recovery. Thus, DD can be a target for interventions aiming to reduce other maladaptive behaviors in SUD recovery.

Human laboratory models of reward in substance use disorder

Human laboratory models in substance use disorder provide a key intermediary step between highly controlled and mechanistically informative non-human preclinical methods and clinical trials conducted in human populations. Much like preclinical models, the variety of human laboratory methods provide insights into specific features of substance use disorder rather than modelling the diverse causes and consequences simultaneously in a single model. This narrative review provides a discussion of popular models of reward used in human laboratory research on substance use disorder with a focus on the specific contributions that each model has towards informing clinical outcomes (forward translation) and analogs within preclinical models (backward translation). Four core areas of human laboratory research are discussed: drug self-administration, subjective effects, behavioral economics, and cognitive and executive function. Discussion of common measures and models used, the features of substance use disorder that these methods are purported to evaluate, unique issues for measure validity and application, and translational links to preclinical models and special considerations for studies wishing to evaluate homology across species is provided.

The Use of Nonmonetary Outcomes in Health-Related Delay Discounting Research: Review and Recommendations

Delay discounting (DD) refers to the tendency to devalue an outcome as a function of its delay. Most contemporary human DD research uses hypothetical money to assess individual rates of DD. However, nonmonetary outcomes such as food, substances of misuse, and sexual outcomes have been used as well, and have advantages because of their connections to health. This article reviews the literature on the use of nonmonetary outcomes of food, drugs, and sexual outcomes in relation to health and reinforcer pathologies such as substance use disorders, obesity, and sexual risk behaviors, respectively, and makes a case for their use in discounting research. First, food, substances, and sex may be more ecologically valid outcomes than money in terms of their connections to health problems and reinforcer pathologies. Second, consistent trends in commodity-specific (i.e., domain) effects, in which nonmonetary outcomes are discounted more steeply than money, enhance variation in discounting values. Third, commodity-specific changes in discounting with treatments designed to change health choices are described. Finally, methodological trends such as test-retest reliability, magnitude effects, the use of hypothetical versus real outcomes, and age-related effects are discussed in relation to the three outcome types and compared to trends with monetary discounting. Limitations that center around individual preferences, nonsystematic data, and deprivation are discussed. We argue that researchers can enhance their DD research, especially those related to health problems and reinforcer pathologies, with the use of nonmonetary outcomes. Recommendations for future directions of research are delineated.

Sexual Arousal-Delay Discounting: When Condoms Delay Arousal

Sexual arousal plays an important role in condom use decisions. However, combined effects of reduced sexual arousal and delay to achieving arousal on condom use decisions remain understudied. This study used a novel sexual arousal-delay discounting (SADD) task to measure individuals' willingness to use a condom in situations where condom use would (1) delay time to arousal and (2) reduce the level of arousal one could achieve even after the delay (e.g., 5 minutes to reach 50% arousal). In Study 1, U.S. college students (N = 115; Mage = 18.6) reported their willingness to have sex with a condom in hypothetical scenarios where the condom delayed and reduced their partner's sexual arousal. In Study 2, U.S. college students (N = 208; Mage = 19.6; 99% ≤ 24 years old) completed the same task for two partners-partner perceived as most desirable and partner perceived as least likely to have an STI. In this study, a condom would affect either participants' own or partner's arousal. Study 3 replicated Study 2 using a non-college sample in the U.S. (N = 227; Mage = 30.5; 84% ≥ 25 years old). Across studies, willingness to use a condom decreased as the delay to reduced arousal increased. This effect of SADD was stronger when condoms reduced participants' own (vs. partner's) arousal, whereas comparisons between most desirable and least likely-to-have-STI partners provided mixed findings. Men had higher discounting rates than women across conditions. Greater SADD was associated with lower condom use self-efficacy, providing initial evidence for the task's validity. The role of delayed arousal in condom use and implications are discussed.

An apparatus and procedure for studying discounting of real outcomes of money and aversive sound

We developed and examined a laboratory preparation with adult humans that pits shorter term avoidance over longer term positive reinforcement and may serve as a useful laboratory functional analogue of problematic behavior. Participants were exposed to choices between (1) avoiding an aversive sound and acquiring no money or (2) listening to an aversive sound for a set duration and then receiving money. The first choice, avoiding an aversive sound and acquiring no money, was conceptualized as immediate negative reinforcement and no positive reinforcement, whereas the latter choice, listening to an aversive sound for a set duration and then receiving money, was conceptualized as a potential positive punisher paired with a larger later positive reinforcer. We manipulated the duration of the sound and the magnitude of money to identify the point at which individual participants' choices changed from avoiding the sound to choosing the sound plus money. As the sound duration increased, the choice of listening to the sound and receiving money decreased. Similar functions were observed with two different monetary magnitudes. The model has potential applicability to real-world problems such as smoking, addiction, gambling, anxiety disorders, and other impulse control disorders.

A Behavioral Economic Examination of Sexual Behaviors in the Era of Pre-exposure Prophylaxis via Explanatory Sequential Mixed Methods

Pre-exposure prophylaxis (PrEP) use may be associated with condom use decisions. The current investigation examined sexual decision-making in the context of PrEP among young adult men who have sex with men (MSM) between 18 and 30 years old, using an explanatory sequential mixed methods design. For the quantitative aim, 99 MSM currently taking PrEP (i.e., PrEP-experienced) and 140 MSM not currently taking PrEP (i.e., PrEP-naive) completed an online survey, including the Sexual Delay Discounting Task (SDDT), which captures likelihood of condom use. For the qualitative aim, 15 people from each group were interviewed about their (1) conceptualizations of risky sex and (2) ways they manage their sexual risk. Participants were, on average, 25.69 years old (SD = 3.07) and 64% White. Results from the quantitative aim revealed, controlling for covariates, PrEP-experienced participants exhibited significantly lower likelihood of (1) using an immediately available condom and (2) waiting for a delayed condom (i.e., sexual delay discounting) compared to PrEP-naive participants. Qualitative themes explaining what young adult MSM consider to be risky sex included: (1) any sex as risky sex, (2) risky sex as "sex without a conversation," and (3) risky sex as sex with risk for physical harm. Themes on ways young adult MSM manage sexual risk were classified as proactive, reactive, and passive. Results suggest that PrEP use is related to condom use decisions. Taken together, quantitative differences in sexual delay discounting, but qualitatively similar conceptualizations and management of risky sex, suggest that the SDDT may be a useful tool in sex research to capture processes (i.e., delay discounting) underlying sexual decision-making that may be missed by traditional self-reports. Implications of results, including potentially providing (good quality) condoms with every PrEP prescription, and future research topics are discussed.

Been There, Done That: The Impact of the Novelty of Penile Vaginal Intercourse (PVI) and Participants' Sex on Delay and Probability Discounting of PVI

Delay and probability discounting tasks are useful for understanding aspects of decision making. The current study, which employed a mixed-model design to assess discounting of penile-vaginal intercourse (PVI), was conducted online with male and female participants recruited from Prolific (N = 300; mean age = 34.1 years). Results of the novel delay and probability discounting tasks indicated that as the delay to PVI increased, or as PVI became less certain to occur, participants were instead more likely to choose to receive oral sex, the reward initially indicated as less desirable. Having previously engaged in PVI, however, enhanced this reversal of preferences on both tasks, which suggests PVI loses some of its value when no longer novel. Males and females similarly discounted PVI on the delay discounting task, which suggests biological sex may not impact the propensity to wait for a preferred sexual behavior. On the probability discounting task, however, males were more averse to a reduced probability of PVI occurring and instead opted for receiving oral sex. The sexual behavior discounting tasks developed in the current study, and ones like it, may prove useful for identifying preferences in sexual behaviors, and ultimately enhance sexual and relationship satisfaction.

Use of preexposure prophylaxis and condom purchasing decisions

Preexposure prophylaxis (PrEP) prevents human immunodeficiency virus (HIV) but not other sexually transmitted infections (STIs). Men who have sex with men (MSM) who take PrEP tend to report reduced condom use, but little is known about the underlying mechanisms. For this study, MSM who take PrEP (i.e., PrEP experienced; n = 88) and MSM who do not (i.e., PrEP naïve; n = 113) completed an online study, including the condom purchase task (CoPT). The CoPT assesses decisions to purchase condoms across escalating prices (range: free-$55) for sex with different types of hypothetical partners: those least likely to have an STD (least STD) and those that participants most want to have sex with (most want sex with). When condoms were free, PrEP-experienced MSM had a lower rate of condom purchasing than did PrEP-naïve MSM. For both partner types, PrEP-experienced MSM reached a price break point (i.e., would not buy condoms) at a lower price than did PrEP-naïve pariticipants. For the most-want-sex-with partner at the price at which participants elected not to buy condoms, only 23% of PrEP-experienced MSM chose to abstain from sex when not purchasing condoms versus 53% among PrEP-naïve MSM. Similar patterns were observed for the least-STD partner. The results support the potential utility of the CoPT in identifying behavioral mechanisms related to condom use and PrEP.

Delay Discounting and Sexual Decision-Making: Understanding Condom Use Behavior Among U.S. College Students

Condoms provide protection against sexually transmitted diseases; however, condomless sex remains common among college students and intentions to use condoms do not consistently translate into condom use. This study tested which indicator of condom use intentions from a delay discounting paradigm of condom-protected sex best accounted for variance in condom use behavior. The sample consisted of 187 sexually active college students (51.9% female) who completed measures of condom use during vaginal and anal sex over the past three months and a decision-making paradigm regarding condom intentions with hypothetical sexual partners. In separate models, condom behavior was regressed on one of three indicators of condom intentions: initial intentions to use a condom, delay discounting of condom-protected sex, and overall area under the curve across all trials. Results showed that delay discounting of condom-protected sex best accounted for variance in absolute frequency of condomless sex, whereas initial intentions to use a condom best accounted for variance in relative proportion of condomless sex. Future research directions and implications for interventions are discussed.

Focusing on Safety or Pleasure Determine Condom Use Intentions Differently Depending on Condom Availability and STI Risk

Objective

Regulatory Focus Theory suggests that goal pursuit is driven by two separate and fundamental motives. Being more focused on prevention motivates people to enact safer behaviors and avoid negative outcomes (e.g., to prevent diseases), whereas being more focused on promotion motivates people to take risks and pursue pleasurable experiences (e.g., condomless sex).

Methods

A quasi-experimental study (N = 476) examined if differences in regulatory focus (i.e., prevention vs. promotion) determined condom use intentions with a prospective casual partner, depending on condom availability delay and STI risk cues.

Results

Participants focused on prevention (vs. promotion) were less likely to consider having condomless sex across condom availability delays conditions. However, STI risk cues changed condom use intentions. When STI risk was lower, condom use intentions decreased as condom availability delays increased (particularly for participants focused on promotion). When STI risk was higher, condom use intentions were stronger and consistent across condom availability delays (particularly for participants focused on prevention).

Conclusions

These findings highlight the importance of distinct sexual motives when examining sexual health practices.

Delay Discounting for HIV/STI Testing

Introduction

Wait time in healthcare is an important barrier to HIV/STI testing. Using a delay discounting approach, the current study examined a systematic reduction in testing likelihood as a function of delay (wait time) until testing.

Methods

In Study 1 (N = 421; data collected in 2019), participants were randomly assigned to either a chlamydia/gonorrhea group or HIV group. A delay discounting task asked them to report how likely they would get tested for the assigned STI if they had to wait for the test (the delay durations varied within persons). In Study 2 (N = 392; data collected in 2020), we added a smaller, sooner outcome (consultation without testing) and tested whether the effect of delay was mediated by perceived severity of the STIs.

Results

In both studies, the subjective value of a delayed STI test was discounted. That is, people were less likely to undergo STI testing as the delay to STI testing increased. The chlamydia/gonorrhea group discounted delayed testing more than the HIV group (i.e., the effect of delay on testing decisions was stronger for the former). This effect was statistically mediated by perceived severity.

Conclusions

We found evidence for delay discounting for HIV/STI testing and that testing decisions were more susceptible to delay when the test was for relatively mild STIs.

Policy Implications

Even mild STIs can cause serious health damage if left untreated. The findings provide strong argument for policies aimed to reduce wait times in healthcare, especially for relatively mild STIs.

Individual differences in degree of discounting, Do different procedures and measures assess the same construct?

The present study compared the two most prominent procedures for measuring delay discounting, the Adjusting-Amount procedure and the Monetary Choice Questionnaire (MCQ). Of interest was whether the two procedures measure the same construct. Results obtained from two online samples recruited using the Prolific (N = 150) and MTurk (N = 243) platforms revealed generally similar results for both procedures. Regardless of the procedure, the sample, the reward amount, and whether the discounting measure used was theoretically based (i.e., log k) or was atheoretical (i.e., area under the curve, proportion of choices of the delayed reward option), the degree of discounting on the Adjusting-Amount procedure was highly correlated with the degree of discounting on the MCQ, consistent with the hypothesis that both procedures assess the same construct.

Waiting for medical test results: A delay discounting approach

RATIONALE AND OBJECTIVE

Delay discounting is the devaluation of an outcome as a function of delay until receiving that outcome. In two studies, we used a delay discounting approach to examine how wait times for a medical diagnosis can affect people's decision to undergo medical testing.

METHODS

In Study 1 (N = 151), participants rated the likelihood they would get tested for a severe and a mild disease with wait times ranging from 0 to 180 days (within persons). Study 2 (N = 400) randomized disease severity (severe vs. mild) between persons and manipulated disease curability (curable vs. incurable).

RESULTS

Likelihood of testing decreased as delay until receiving test results increased. This effect of delay on testing was stronger for the mild than for the severe disease, and for the curable than for the incurable disease.

CONCLUSIONS

We found strong evidence for a delay discounting effect, an effect that varied depending on aspects of diseases. The findings illustrate how delay discounting can affect screening uptake and how it is moderated by disease characteristics.

Measuring Sexual Risk-Taking: A Systematic Review of the Sexual Delay Discounting Task

The Sexual Delay Discounting Task (SDDT; Johnson & Bruner, 2012) is a behavioral economic task that assesses sexual risk-taking by measuring likelihood of immediate and delayed condom use. The SDDT is ecologically valid and has been used to test effects of various substances on sexual risk-taking. However, considerable variety in implementation, analysis, and reporting of the SDDT may limit rigor and reproducibility of findings. The current review synthesized studies that used the SDDT to evaluate these possible variabilities systematically. A two-step search (citation-tracking and keyword-based search) was conducted to identify studies that met inclusion criteria (i.e., used the SDDT). Eighteen peer-reviewed articles met inclusion criteria. The SDDT has been implemented primarily in three populations: individuals who use cocaine, men who have sex with men, and college students. Comparable results across diverse populations support the SDDT's validity. A few studies administered substances before the SDDT. Evidence suggests that while cocaine and alcohol increased sexual risk-taking under some conditions, buspirone decreased preference for immediate condomless sex. There was also heterogeneity in the determination of data orderliness (i.e., outliers) and inconsistent reporting of task design and analysis. Considerable differences present in methodologic approaches could influence results. Reducing variation in the administration, analysis, and reporting of the SDDT will enhance rigor and reproducibility and maximize the task's tremendous potential.

Beyond Systematic and Unsystematic Responding: Latent Class Mixture Models to Characterize Response Patterns in Discounting Research

Operant behavioral economic methods are increasingly used in basic research on the efficacy of reinforcers as well as in large-scale applied research (e.g., evaluation of empirical public policy). Various methods and strategies have been put forward to assist discounting researchers in conducting large-scale research and detecting irregular response patterns. Although rule-based approaches are based on well-established behavioral patterns, these methods for screening discounting data make assumptions about decision-making patterns that may not hold in all cases and across different types of choices. Without methods well-suited to the observed data, valid data could be omitted or invalid data could be included in study analyses, which subsequently affects study power, the precision of estimates, and the generality of effects. This review and demonstration explore existing approaches for characterizing discounting and presents a novel, data-driven approach based on Latent Class Analysis. This approach (Latent Class Mixed Modeling) characterizes longitudinal patterns of choice into classes, the goal of which is to classify groups of responders that differ characteristically from the overall sample of discounters. In the absence of responders whose behavior is characteristically distinct from the greater sample, modern approaches such as mixed-effects models are robust to less-systematic data series. This approach is discussed, demonstrated with a publicly available dataset, and reviewed as a potential supplement to existing methods for inspecting and screening discounting data.

Behavioral economic methods to inform infectious disease response: Prevention, testing, and vaccination in the COVID-19 pandemic

The role of human behavior to thwart transmission of infectious diseases like COVID-19 is evident. Psychological and behavioral science are key areas to understand decision-making processes underlying engagement in preventive health behaviors. Here we adapt well validated methods from behavioral economic discounting and demand frameworks to evaluate variables (e.g., delay, cost, probability) known to impact health behavior engagement. We examine the contribution of these mechanisms within a broader response class of behaviors reflecting adherence to public health recommendations made during the COVID-19 pandemic. Four crowdsourced samples (total N = 1,366) completed individual experiments probing a response class including social (physical) distancing, facemask wearing, COVID-19 testing, and COVID-19 vaccination. We also measure the extent to which choice architecture manipulations (e.g., framing, opt-in/opt-out) may promote (or discourage) behavior engagement. We find that people are more likely to socially distance when specified activities are framed as high risk, that facemask use during social interaction decreases systematically with greater social relationship, that describing delay until testing (rather than delay until results) increases testing likelihood, and that framing vaccine safety in a positive valence improves vaccine acceptance. These findings collectively emphasize the flexibility of methods from diverse areas of behavioral science for informing public health crisis management.

Single- and cross-commodity discounting among adults who use alcohol and cannabis: Associations with tobacco use and clinical indicators

BACKGROUND

Delay discounting assessments typically involve choices between an immediate outcome and a larger amount of the same outcome after a delay. Real-world choices, however, more often involve qualitatively different alternatives. The primary aim of this study was to examine single- and cross-commodity discounting of money, alcohol, and cannabis, along with clinical measures of alcohol and cannabis use among people who use both alcohol and cannabis, yet differ in tobacco cigarette smoking status (i.e., dual- versus tri-use).

METHODS

An online crowdsourced sample (N = 318) of people who reported using alcohol and cannabis in the past week completed single- and cross-commodity discounting assessments across each combination of money, alcohol, and cannabis. We recruited a balanced number of people who did and did not also use tobacco cigarettes and examined associations between discounting, tobacco use, and clinical indicators.

RESULTS

People who reported using tobacco cigarettes in addition to alcohol and cannabis tended to engage in significantly higher rates of harmful alcohol and cannabis use than those who reported using only alcohol and cannabis. Cross-commodity discounting was significantly associated with patterns of harmful alcohol and cannabis use while no associations emerged for single-commodity discounting.

CONCLUSIONS

Cross-commodity discounting provides a nuanced account of intertemporal choice by incorporating relative commodity valuation and appears to characterize harmful alcohol and cannabis use more clearly than single-commodity arrangements. Further cross-commodity research is needed to better understand the interplay between temporal location and relative commodity value among people who use multiple substances.

Behavioral economics and safe sex: Examining condom use decisions from a reinforcer pathology framework

Condom use substantially reduces unwanted pregnancies and sexually transmitted infections. While condom availability is a significant public health priority, effects of condom availability constraints remain relatively under-researched. The limited research on condom availability suggests two major barriers to use: (1) effort/costs and (2) delay to access. To date, we are aware of no study that explores both demand for and discounting of condom availability; the focus of this study was to account for condom decisions using a reinforcement pathology framework. This study used a condom purchase task and the Sexual Delay Discounting Task to quantify behavioral economics of condom use. Low sexual discounting was associated with higher willingness to engage unprotected sex. Demand metrics suggest participants indicating abstinence at condom breakpoint were willing to pay nearly double for condoms relative to individuals indicating unprotected sex at breakpoint. Finally, we grouped participants into reinforcement pathology risk groups based on their discounting and demand indices; these groups significantly differed in self-reported number of sexual partners, unprotected sexual partners, and Sexual Desire scores. This study demonstrates the value of behavioral economic approaches to public health concerns, and further underscores the translational benefits of quantitative metrics to shed novel light on risky health decisions.

The discounting of death: Probability discounting of heroin use by fatal overdose likelihood and drug purity

As fatal overdoses from synthetic opioids continue to rise, we need to understand decision-making processes underlying heroin and synthetic opioid use. This study evaluated the influence of sample impurity and fatal overdose risk on hypothetical heroin use. Individuals who currently use heroin (n = 69) were recruited online. Participants completed two probability-discounting tasks evaluating the likelihood of using a sample of heroin based on the likelihood of sample impurity and likelihood of fatal overdose, where greater discounting represented reduced use likelihood. Prior to completing the probability-discounting tasks, participants were randomized to read one of four prompts varying by the presence of information on heroin effects and active (e.g., fentanyl) or inert impurities. Influence of prompts on discounting processes and associations among probability-discounting measures, opioid use behaviors, and dependence severity were evaluated. Heroin use likelihood decreased with increased impurity or overdose risk and in a generally orderly fashion. Discounting was greater (i.e., reduced heroin use likelihood) when overdose risk, compared to sample impurity, was manipulated. Less discounting was associated with more severe opioid dependence. Discounting did not differ among prompts for either task. Individuals might adjust their heroin-use behavior to reduce harm with risk-related information. Greater discounting elicited by overdose relative to impurity risk suggests that equating adulteration and overdose risk is essential for harm reduction. Expanded access to drug checking services, which inform impurity and overdose risk, can reduce fatal overdoses. Due to fear of legal sanctions for these services, legislation and judicial decisions should explicitly protect these services. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The East Asian Erotic Picture Dataset and Gender Differences in Response to Opposite-Sex Erotic Stimuli in Chinese College Students

Understanding the processing of sexual stimuli has become a significant part of research on human sexuality. In addition to individual characteristics (gender and sexual orientation), empirical studies have shown that cultural factors play an important role in sexual stimuli processing. The attitudes toward sex have been reported to be more conservative in East Asian societies as compared to western countries, and significantly more sexual difficulties are observed among East Asian people. However, stimulus materials, which potentially facilitate human sexuality research on native East Asian people, are relatively not satisfactory. Erotic stimuli depicting East Asian figures are limited in the existing picture datasets. To address this issue, we present a collection of 237 erotic and 108 control pictures, accompanied by self-reported ratings of sexual arousal, pleasantness, and sexual attractiveness for opposite-sex erotic stimuli by heterosexual males and females (n = 40, divided into two equal-sized subsamples). This collection is divided into six categories, depending on their contents: dressed males (44), semi-nude males (65), nude males (64), dressed females (64), semi-nude females (52), and nude females (56). We showed gender differences in sexual arousal, pleasantness, and sexual attractiveness ratings in response to opposite-sex erotic pictures. Males reported the highest levels of sexual arousal, pleasantness, and sexual attractiveness for nude female pictures, whereas females reported the highest levels of sexual arousal, pleasantness, and sexual attractiveness for semi-nude male pictures. The erotic picture dataset may provide a useful resource of erotic stimuli that can be used as stimulus materials in experimental research on sexual function in East Asians.

Integrating Operant and Cognitive Behavioral Economics to Inform Infectious Disease Response: Prevention, Testing, and Vaccination in the COVID-19 Pandemic

The role of human behavior to thwart transmission of infectious diseases like COVID-19 is evident. Yet, many areas of psychological and behavioral science are limited in the ability to mobilize to address exponential spread or provide easily translatable findings for policymakers. Here we describe how integrating methods from operant and cognitive approaches to behavioral economics can provide robust policy relevant data. Adapting well validated methods from behavioral economic discounting and demand frameworks, we evaluate in four crowdsourced samples (total N = 1,366) behavioral mechanisms underlying engagement in preventive health behaviors. We find that people are more likely to social distance when specified activities are framed as high risk, that describing delay until testing (rather than delay until results) increases testing likelihood, and that framing vaccine safety in a positive valence improves vaccine acceptance. These findings collectively emphasize the flexibility of methods from diverse areas of behavioral science for informing public health crisis management.