Abstract:Behavioral processes underlying sexual behavior are important for understanding normal human functioning and risk behavior leading to sexually transmitted infections (STIs). This systematic review examines delay and probability discounting in human sexual behavior through synthesis of 50 peer-reviewed, original research articles. Sixteen studies focusing exclusively on monetary delay discounting found small effect size positive correlations with sexual risk behaviors. Eleven studies examined delay or probabili… Show more
“…Past community‐level studies showed that the location of freely available condoms robustly controlled whether individuals took them (Amass et al, 1993; Carrigan et al, 1995; Honne & Kleinke, 1990). Prior work using the SDDT or a variant called the Sexual Probability Discounting Task (see review by Johnson et al, 2020) used behavioral economics to provide additional clarity on the role of temporal delays or risk of acquiring an STI as a context for condom acquisition, while Strickland et al (2020) added the impact of financial costs on condom purchasing. Our study is the first to demonstrate the interaction of delays and costs on how participants make choices to forego condoms, and more importantly, whether the decision to forego condoms results in abstinence or unprotected sex.…”
Section: Discussionmentioning
confidence: 99%
“…We thereby submit that the novel application of a reinforcement pathologies perspective on condom use would provide a substantive advancement to the literature. We note that previous behavioral economic work has demonstrated the role of discounting of (see review by Johnson et al, 2020) and demand for condom availability (e.g., Strickland et al, 2020) in risky sexual decisions, yet we are aware of no study to date that examines the intersection of delay discounting of and demand for condoms within an explicit reinforcement pathologies 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.
“…Past community‐level studies showed that the location of freely available condoms robustly controlled whether individuals took them (Amass et al, 1993; Carrigan et al, 1995; Honne & Kleinke, 1990). Prior work using the SDDT or a variant called the Sexual Probability Discounting Task (see review by Johnson et al, 2020) used behavioral economics to provide additional clarity on the role of temporal delays or risk of acquiring an STI as a context for condom acquisition, while Strickland et al (2020) added the impact of financial costs on condom purchasing. Our study is the first to demonstrate the interaction of delays and costs on how participants make choices to forego condoms, and more importantly, whether the decision to forego condoms results in abstinence or unprotected sex.…”
Section: Discussionmentioning
confidence: 99%
“…We thereby submit that the novel application of a reinforcement pathologies perspective on condom use would provide a substantive advancement to the literature. We note that previous behavioral economic work has demonstrated the role of discounting of (see review by Johnson et al, 2020) and demand for condom availability (e.g., Strickland et al, 2020) in risky sexual decisions, yet we are aware of no study to date that examines the intersection of delay discounting of and demand for condoms within an explicit reinforcement pathologies 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.
“…In this series of experiments, we sought to extend this work by applying behavioral economic methods and theory to understand public health response to the COVID-19 pandemic. This work is positioned within the broader conceptual framework of behavioral economic research reviewed above that demonstrates the impact of behavioral economic variables (e.g., delay, cost, probability, framing) on engagement with health behaviors such as substance use or preventive sexual health (e.g., condom use) [ 31 , 33 , 35 , 37 – 40 ]. Here, we manipulate these behavioral economic dimensions by adapting them for direct relevance to the COVID-19 pandemic (e.g., the delay to receiving a COVID-19 testing result or cost of that test).…”
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.
“…A small, but growing, literature suggests that these kinds of tests of novel or as-yet-unexperienced contexts can nonetheless significantly relate to real-world behavior of interest. For example, in the public health domain, studies on sexual discounting relate to HIV-risk behavior [55, 56] and simulated purchasing of a novel fake ID relate to experienced negative alcohol outcomes in underage drinkers [57]. Moreover, there is evidence that tasks such as hypothetical sexual discounting [58] or hypothetical purchase tasks for drugs [59, 60] significantly predict domain-specific outcomes or behavior beyond general monetary discounting or demand for common commodities.…”
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.