1 Introduction
Every day we are faced with multiple decisions, some of which involve risk, or uncertainty of a positive or negative outcome. The level of risk depends on the problem (e.g., trying a new coffee drink, moving to a new city) and the individual’s subjective evaluation of the decision options. Several individual differences are associated with risk perception and risky decisions. For example, older age (Reference Defoe, Dubas, Figner and Van AkenDefoe et al., 2015), higher levels of anxiety (Reference Maner, Richey, Cromer, Mallott, Lejuez, Joiner and SchmidtManer et al., 2007), and being more conscientiousness (Reference Nicholson, Soane, Fenton-O’Creevy and WillmanNicholson et al., 2005; Weller & Tıkır, 2011) are associated with less risk taking. Disgust sensitivity is another individual difference factor that may be related to risk taking, but has received relatively little empirical examination (e.g., Karg, Wiener-Blotner & Schnall, 2019; Reference Sparks, Fessler, Chan, Ashokkumar and HolbrookSparks et al., 2018). Further, both disgust sensitivity and risk-taking propensity have been conceptualized as domain specific (Reference Tybur, Lieberman and GriskeviciusTybur, Lieberman & Griskevicius, 2009; Reference Weber, Blais and BetzWeber, Blais & Betz, 2002), but no research to date has assessed the association between the two constructs taking a domain specific approach with both. Thus, the goals of this research were to examine the extent to which disgust sensitivity was related to risk-taking propensity and whether the association between the constructs was domain specific.
1.1 Disgust and Risk-taking
Disgust is a cross-culturally recognized emotion with a primary function to reduce exposure to pathogens and resultant infectious disease (Reference Curtis, De Barra and AungerCurtis, De Barra & Aunger, 2011). Specifically, common sources of pathogens (e.g., feces, blood, mucous) evoke the emotion of disgust, which motivates avoidance of the disgust-eliciting stimulus, thereby reducing the risk of pathogen transmission (Reference Oaten, Stevenson and CaseOaten, Stevenson & Case, 2009). Although disgust is universally present, individuals vary in their levels of disgust sensitivity (Reference Haidt, McCauley and RozinHaidt, McCauley & Rozin, 1994; Reference Olatunji, Williams, Tolin, Abramowitz, Sawchuk, Lohr and ElwoodOlatunji et al., 2007; Reference Tybur, Lieberman and GriskeviciusTybur et al., 2009). That is, those who are more disgust sensitive are more easily disgusted and experience disgust more strongly, whereas those lower in disgust sensitivity are less easily disgusted and experience disgust less intensely. Disgust sensitivity is considered a relatively stable trait and has been shown to be reliable over time (Reference Merckelbach, de Jong, Arntz and SchoutenMerckelbach et al., 1993; Rozin, Lowery & Ebert, 1999; Reference Woody and TeachmanWoody & Teachman, 2000).
Theoretically, those higher in disgust sensitivity should perceive more pathogen threats in their environment and thus be more cautious and avoidant, in order to reduce contact with potential pathogens. Indeed, empirical work demonstrates that greater disgust sensitivity is associated with greater dangerous worldviews (i.e., beliefs that the world is threatening; Reference Shook, Ford and BoggsShook, Ford & Boggs, 2017) and more avoidant behavioral tendencies, as assessed by both self-report and behavioral measures (Reference Armstrong, McClenahan, Kittle and OlatunjiArmstrong et al., 2014; Reference Reynolds, Bissett, Porter and ConsedineReynolds et al., 2016; Reference Shook, Thomas and FordShook, Thomas & Ford, 2019). These tendencies are also evident in social correlates of disgust sensitivity. For example, greater disgust sensitivity is consistently associated with socially conservative beliefs and values (see Terrizzi, Shook & McDaniel, 2010, for a review), which encourage caution towards change and avoidance of people from different groups (Reference AltemeyerAltemeyer, 1988).
Based on the theoretical and empirical link between disgust and caution or avoidance, it follows that disgust would be associated with a lower propensity to take risks. Indeed, a few studies support this negative relation. Prokosch et al. (2019) primed participants with either pathogen threat or an academic threat. They found that participants in the pathogen threat condition were less inclined to take risks in a behavioral risk assessment task and reported less risk-taking propensity on a self-report measure than those in the academic threat condition. Similarly, Fessler, Pillsworth & Flamson (2004) found that women who were induced with disgust took fewer risks in a behavioral choice task than women in a control group (no emotion induction). However, there was no effect of the disgust induction on risk taking in men. Greater disgust sensitivity has also been related to less risk-taking propensity (Reference Sparks, Fessler, Chan, Ashokkumar and HolbrookSparks et al., 2018) and a heightened perception of risk (Reference Karg, Wiener-Blotner and SchnallKarg et al., 2019). Together, these few studies suggest a negative relation between disgust and risk-taking propensity. However, the question remains as to how robust this relation is when taking a domain specific approach to risk taking and disgust sensitivity.
1.2 Domains of Risk Taking
An individual’s propensity or willingness to take risks depends on the context (Reference Hanoch, Johnson and WilkeHanoch, Johnson & Wilke, 2006). For example, both bungee jumping and investing in the stock market involve risks. However, the assessment of risk for each decision is not necessarily equivalent. A person may choose to take the risk for the stock exchanges but avoid the risk associated with bungee jumping, or vice versa. The individual’s perception of risk level depends on the specific situation and contextual factors (Reference Weber, Blais and BetzWeber et al., 2002; Reference Weller and TikirWeller & Tikir, 2011). As such, scholars have argued that risk-taking propensity is domain specific and should be assessed accordingly (Reference Figner and WeberFigner & Weber, 2011; Reference Weber, Blais and BetzWeber et al., 2002).
Weber et al. (2002) defined five different domains for risk taking: recreational (e.g., doing extreme sports), health/safety (e.g., seatbelt use), social (e.g., confronting family members), ethical (e.g., cheating on an exam), and financial (e.g., stock market trading). Although not necessarily independent (i.e., risk taking across the domains correlate weakly to strongly; Reference Highhouse, Nye, Zhang and RadaHighhouse et al., 2017; Reference Frey, Duncan and WeberFrey, Duncan & Weber, 2020), the domain specific measures differentially predict outcomes (Reference Highhouse, Nye, Zhang and RadaHighhouse et al., 2017), and individuals show differences in risk-taking across domains (Reference Weber, Blais and BetzWeber et al., 2002). Thus, the domain specific approach provides a nuanced examination of risk-taking propensity. For example, men are generally found to take more risks than women (Reference Byrnes, Miller and SchaferByrnes et al., 1999), but a domain specific examination shows that men are more likely to take risks in financial, ethical, and recreational domains, whereas women take more risks in the social domain (Reference Figner and WeberFigner & Weber, 2011).
Taking a domain-specific approach to risk taking may demonstrate differential effects between disgust and risk-taking propensity. For instance, given the health promotion function of disgust (i.e., infectious disease avoidance), one might expect that disgust or disgust sensitivity would be more strongly associated with risk taking in the health/safety domain, whereas risk taking in ethical or financial domains seems less related to disgust. Karg et al. (2019) assessed the association between disgust sensitivity and risk-taking perception, as assessed by the risk perception variant of the domain-specific risk-taking scale (DOSPERT; Reference Blais and WeberBlais & Weber, 2006). In two studies, they reported that independent of gender and age, greater disgust sensitivity was associated with higher risk perception across the five domains of risk, but there was variability in the strength of associations depending on the risk domain (β range = .17 to .35).
Perception of risk and propensity to take risks are related but distinct constructs, and they can be differentially associated with other variables (Reference Choma, Hanoch, Hodson and GummerumChoma et al., 2014). Therefore, more research is still needed to thoroughly examine how disgust is related to risk-taking propensity. Further, one potential shortcoming of the previous study is the utilization of the revised disgust sensitivity scale (Reference Olatunji, Williams, Tolin, Abramowitz, Sawchuk, Lohr and ElwoodOlatunji et al., 2007) as a unidimensional measure of disgust sensitivity, instead of examining the three disgust sensitivity factors (Reference Karg, Wiener-Blotner and SchnallKarg et al., 2019). Like risk taking, disgust sensitivity can be conceptualized as domain specific. Taking a domain specific approach to disgust sensitivity in conjunction with risk-taking propensity would further unpack and help present a clearer picture to the relation between disgust and risk taking.
1.3 Domains of Disgust Sensitivity
According to Tybur et al. (2009), there are three domains of disgust: pathogen, sexual, and moral. Pathogen disgust aligns with the fundamental function of disgust – infectious disease avoidance. However, the disgust system is proposed to have been co-opted to also respond to and avoid biologically costly sexual partners (sexual disgust) and social transgressions (moral disgust; Reference Tybur, Lieberman, Kurzban and DeScioliTybur et al., 2013). These three domains are distinguished by inputs that activate them, their behavioral outputs, and unique correlates (Reference Al-Shawaf, Lewis, Ghossainy and BussAl-Shawaf et al., 2019).
Pathogen disgust is activated by cues of pathogen presence (e.g., mold, pus; Reference Tybur, Lieberman, Kurzban and DeScioliTybur et al., 2013) and encourages avoidance of the pathogen cue and changes in facial expression (Reference Rozin, Lowery and EbertRozin et al., 1994). Sexual disgust is activated in response to individuals who display cues of being a poor mate choice or sexual situations that can have negative reproductive consequences (e.g., zoophilia, incest), resulting in avoidance of such individuals or situations (Reference Crosby, Durkee, Meston and BussCrosby et al., 2020). Moral disgust is activated by behaviors that would be condemned by others (e.g., lying, stealing; Reference Tybur, Lieberman, Kurzban and DeScioliTybur et al., 2013) and results in avoidance of individuals who engage in these condemned behaviors or with the willingness to punish these individuals (Reference Tybur, Lieberman and GriskeviciusTybur et al., 2009).
Although all three disgust domains are interrelated and involve some kind of avoidance behavior, they are distinct and are differentially related to other variables (Reference Tybur, Lieberman and GriskeviciusTybur et al., 2009). For example, higher sexual disgust sensitivity is related to a more restricted sociosexual orientation, whereas pathogen and moral disgust sensitivity are not significantly related to sociosexual orientation (Reference Al-Shawaf, Lewis and BussAl-Shawaf et al., 2015). Greater pathogen disgust sensitivity is related to more utilitarian judgments, whereas sexual disgust sensitivity is related to less utilitarian judgments (Reference Laakasuo, Sundvall and DrosinouLaakasuo et al., 2017). Thus, a domain specific examination of disgust can provide more nuanced understanding of how disgust is related to other constructs.
With regard to risk-taking propensity, Sparks et al. (2018) specifically assessed the three domains of disgust sensitivity in two studies. They consistently found that greater pathogen, sexual, and moral disgust sensitivity were each associated with less risk-taking propensity. However, the strength of the associations varied (r = –.33 to –.16), where sexual disgust sensitivity was more strongly associated with general risk-taking propensity than moral and pathogen disgust sensitivity. Thus, these findings suggest that the size of the relation between disgust sensitivity and risk-taking propensity may vary by domain.
However, Sparks et al. (2018) utilized the DOSPERT (Reference Blais and WeberBlais & Weber, 2006) as a unidimensional measure of risk-taking propensity, so it is unknown whether specific disgust sensitivity domains are uniquely associated with specific risk domains. Further, the three disgust sensitivity domains are moderately correlated (Reference Olatunji, Adams, Ciesielski, David, Sarawgi and Broman-FulksOlatunji et al., 2012) and theoretically share a common basis (Reference Tybur, Lieberman, Kurzban and DeScioliTybur et al., 2013). As such, it is important to consider the three disgust domains simultaneously to determine the extent to which each domain is uniquely associated with risk-taking propensity. Investigating the relations of each disgust domain with each risk-taking domain, while controlling for the other disgust domains, can help to elucidate the unique relations between disgust and risk taking.
1.4 The Current Studies
Extant literature suggests that greater disgust sensitivity is associated with lower risk-taking propensity. However, the existing body of evidence is relatively sparse. Although two studies have used a domain specific approach for either disgust (Reference Sparks, Fessler, Chan, Ashokkumar and HolbrookSparks et al., 2018) or risk taking (Reference Karg, Wiener-Blotner and SchnallKarg et al., 2019), no studies to date have examined the domain specific relations for both. Taking a domain specific approach to both constructs may highlight unique associations, particularly across domains that are relevant to one another. For example, moral disgust sensitivity and ethical risk-taking propensity seem to overlap. As such, we might expect a significant negative relation between moral disgust sensitivity and ethical risk-taking propensity, but ethical risk-taking propensity may not be related to pathogen and sexual disgust sensitivity. Given the health implications linked to pathogen disgust sensitivity, a significant negative relation might be expected with health/safety risk taking propensity, but health/safety risk taking propensity may not be related to moral and sexual disgust sensitivity.
The goal of this research was to provide a detailed exploration of how disgust sensitivity is related to risk-taking propensity using a domain specific approach. We conducted two cross-sectional studiesFootnote 1 with a community and a student sample, and a mini meta-analysis utilizing two additional datasets (Reference Sparks, Fessler, Chan, Ashokkumar and HolbrookSparks et al., 2018). We focused on the extent to which domain specific disgust sensitivity (i.e., Pathogen, Sexual, and Moral) were related to domain specific risk-taking propensity (i.e., Social, Recreational, Health/Safety, Ethical, and Financial). As gender and age differences are often found with risk-taking propensity and disgust sensitivity (Reference Al-Shawaf, Lewis and BussAl-Shawaf et al., 2018; Reference Defoe, Dubas, Figner and Van AkenDefoe et al., 2015; Reference Figner and WeberFigner & Weber, 2011), we controlled for these demographic factors in all analyses.
2 Study 1
2.1 Method
2.1.1 Participants & Procedure
A total of 98 participants (61 female; M age = 47.92 years, SD age = 20.95; 88.8% White) from the South Atlantic division of the US contributed to this study. Participants consisted of community-dwelling younger (n = 51; 25– 36 years, M age = 28.71, SD age = 3.34) and older (n = 47; 60–89 years, M age = 68.77, SD age = 7.73) adults. Participants were recruited for a larger study about age differences in decision making between younger and older adults. For older adults, a score of 24 or higher was required on the Mini-Mental State Exam (MMSE; Reference Folstein, Folstein and McHughFolstein, Folstein & McHugh, 1975) to confirm a sample free of significant cognitive impairments.
Participants completed study measures at a site of their choice (home, senior center, university research lab). After providing informed consent, participants completed several computer tasks, questionnaires, and demographic questions for the larger study, including the primary measures of interest. Participants received $50 monetary compensation for approximately 2 hours of their time. The authors’ university Institutional Review Board approved all procedures for the study.
2.1.2 Measures
Three Domain Disgust Scale (TDDS; Reference Tybur, Lieberman and GriskeviciusTybur et al., 2009)
This 21-item measure consisting of three subscales was used to assess three different domains of disgust sensitivity: pathogen (e.g., “stepping on dog poop”; α = .83), sexual (e.g. “hearing two stranger having sex”; α = .91), and moral (e.g., “shoplifting a candy bar from a convenience store”; α = .83). Participants rated how disgusting they found each item on a scale from 0 (“not at all disgusting”) to 6 (“extremely disgusting”). A composite variable was created for each domain of disgust by computing the average score across the items. Higher scores reflect greater disgust sensitivity.
Domain Specific Risk-Taking (DOSPERT; Reference Weber, Blais and BetzWeber et al. 2002)
This 40-item measure was used to assess risk-taking propensity in five different domains: Social (e.g., “Admitting that your tastes are different from those of your friends”; α = .69), Recreational (e.g., “Going down a ski run that is too hard or closed”; α = .84), Health/Safety (e.g., “Frequent binge drinking”; α = .75), Ethical (e.g., “Plagiarizing a term paper”; α = .85), and Financial (e.g., “Betting a day’s income at the horse races”; α = .75). Participants rated their likelihood of engaging in risky behaviors on a scale from 1 (“very unlikely”) to 5 (“very likely”). Higher mean scores indicated greater risk-taking propensity.
2.2 Results
Means, standard deviations, and bivariate correlations between age, gender, disgust sensitivity, and risk-taking propensity are presented in Table 1. Both pathogen and sexual disgust sensitivity were negatively correlated with all five domains of risk-taking propensity. Moral disgust sensitivity was significantly negatively correlated with the social, health/safety, ethical, and financial domains, but was not significantly correlated with recreational risk-taking propensity. Older age was significantly positively related to sexual and moral disgust sensitivity, and significantly inversely associated with all domains of risk-taking propensity, except financial risk-taking propensity. Women reported significantly greater sexual disgust sensitivity and lower levels of risk-taking propensity in all domains, except social risk-taking propensity, compared to men.
Table 1: Mean, standard deviation, and bivariate correlations among Study 1 variables
Note.
* p < .05,
** p < .01;
Gender is coded as 1 = Man, 2 = Woman.
To determine whether the significant relations between the domains of disgust sensitivity and the domains of risk-taking propensity can be explained by a single factor, rather than domain specific variance, a canonical correlation analysis was conducted using the R package “yacca” (Reference ButtsButts, 2018). The analysis was run after residualizing on age and gender. We found that two of the three canonical correlations were significant based on Bartlett’s X 2 test (C1 = .62, p < .001; C2 = .39, p < .05; and C3 = .07, p > .05). Thus, our expectation was supported showing that the relations between disgust sensitivity and risk-taking propensity are not explained by one single factor.
Pathogen, sexual, and moral disgust sensitivity were moderately correlated with each other. To detect the unique relations between each disgust domain and risk-taking domain, this covariance should be controlled for. To determine which domains of disgust sensitivity had a unique association with a risk-taking domain, five separate hierarchical regression analyses were conducted (see Table 2). Age and gender were entered in the first step as control variablesFootnote 2, and the three domains of disgust sensitivity were entered in the second step. The risk-taking domains were entered as criterion variables. Multicollinearity was checked and found not to be a problem (all VIF < 5, Tolerance > 0.20).
Table 2: Study 1 hierarchical regression analyses predicting risk-taking propensity by domain from three domains of disgust sensitivity, controlling for age and gender. Standardized betas with 95% confidence intervals. Adjusted R 2 are in bold
* Note. p < .05,
** p < .01;
Gender is coded as 1 = Man, 2 = Woman.
For the social and health/safety domains, sexual disgust sensitivity was the only independent disgust sensitivity domain associated with risk-taking propensity. Higher levels of sensitivity in sexual disgust were associated with less social and health/safety risk-taking propensity. For ethical risk-taking and financial risk-taking, both sexual and moral disgust sensitivity were significantly related. Higher levels of sensitivity in sexual disgust and moral disgust were associated with less ethical and financial risk-taking propensity. For recreational risk-taking, none of the disgust sensitivity domains were significantly related.
2.3 Discussion
Bivariate correlations indicated that all three disgust sensitivity domains were negatively associated with all five risk-taking domains, with one exception (i.e., moral disgust sensitivity and recreational risk-taking propensity were not significantly correlated). However, when the unique predictive value of each disgust domain on risk-taking propensity was examined after controlling for age, gender, and the other disgust domains, the pattern of results changed. When controlling for the other variables, pathogen disgust sensitivity was not significantly associated with any of the risk-taking domains. Sexual disgust sensitivity was negatively associated with social, health/safety, ethical, and financial risk-taking propensity. Moral disgust sensitivity was negatively associated with ethical and financial risk-taking propensity. None of the disgust domains were significantly associated with recreational risk-taking propensity. These findings suggest that the relation between disgust sensitivity and risk-taking propensity may be more nuanced. In particular, controlling for the covariance between the disgust domains may be important in understanding what components of disgust are associated with risk taking in different contexts.
3 Study 2
The first study provided initial evidence that the predictive value of disgust sensitivity may vary according to the domains of disgust and domains of risk taking. However, the small sample size of this study limits the strength of the findings. The goal of the second study was to replicate the Study 1 findings with a larger sample.
3.1 Method
A total of 403 undergraduate students (321 women; age range 18–35 years, M age = 19.71, SD age = 1.84; 85.4% White) at a US university participated in the study. Data from 13 participants were excluded from the analyses due to answering less than half of the items in a measure (n = 4) or completing the study twice (n = 9). For participants who completed the study twice, their first responses were used. The final sample consisted of 390 participants (310 women; age range 18 - 35 years, M age = 19.70, SD age = 1.73; 85.9% White).
Participants were recruited from the Department of Psychology’s subject pool for a larger study regarding psychological disease avoidance processes. The study was conducted through the online survey system Qualtrics. After agreeing to an online consent form, participants completed the survey. Measures in the survey were presented in a random order, except for demographic questions, which appeared last. Participants completed the Three Domain Disgust Scale (Reference Tybur, Lieberman and GriskeviciusTybur et al., 2009) as described in Study 1 and a 30-item revised version of the Domain Specific Risk-Taking scale (Reference Blais and WeberBlais & Weber, 2006). The revised version is 10-items shorter, has a different response scale from 1 to 7, and some reworded items (e.g., “Plagiarizing a term paper” was revised to “Passing off somebody else’s work as your own”). After the study was finished, participants were compensated with course credit.
3.2 Results
Means, standard deviations, Cronbach’s alphas, and bivariate correlations between age, gender, three domains of disgust sensitivity, and five domains of risk-taking propensity are presented in Table 3. Both pathogen and sexual disgust sensitivity were significantly negatively correlated with all five domains of risk-taking propensity. Moral disgust sensitivity was significantly negatively correlated with the health/safety, ethical, recreational, and financial domains, but was not significantly correlated with social risk-taking propensity. Age was significantly negatively related to pathogen disgust sensitivity, sexual disgust sensitivity, and ethical risk-taking propensity, and it was positively related to social risk-taking propensity. Women reported greater pathogen and sexual disgust sensitivity, and less risk-taking propensity in recreational, ethical, and financial domains compared to men.
Table 3: Means, standard deviations, Cronbach’s alphas, and bivariate correlations among Study 2 variables
Note.
* p < .05,
** p < .01;
Gender is coded as 1 = Man, 2 = Woman.
Again, a canonical correlation analysis was conducted using the R package “yacca” (Reference ButtsButts, 2018). The analysis was run after residualizing on age and gender. We found that the three canonical correlations were all significant based on Bartlett’s X 2 test (C1=.41, p <. 001; C2=.26, p <. 001; and C3=.22, p <. 001). Thus, the relations between disgust sensitivity and risk-taking propensity were not explained with a single factor, or even by two factors.
Five hierarchical regression analyses were conducted to determine which disgust sensitivity domains were uniquely associated with each domain of risk-taking propensityFootnote 3 (see Table 4). Multicollinearity was checked and found not to be a problem (all VIF < 5, Tolerance > 0.20). For the social domain, sexual disgust sensitivity was the only independent disgust domain related to risk-taking propensity. Higher levels of sensitivity in sexual disgust were associated with less social risk-taking propensity. For the health/safety domain, higher levels of sexual and moral disgust sensitivity were associated with less risk-taking propensity. For the ethical and financial domains, moral disgust sensitivity was significantly related. Higher levels of sensitivity in moral disgust were associated with less ethical and financial risk-taking propensity. For the recreational domain, higher levels of pathogen disgust sensitivity was associated with less risk-taking propensity.
Table 4: Study 2 hierarchical regression analyses predicting risk-taking propensity by domain from three domains of disgust sensitivity, controlling for age and gender. Standardized betas with 95% confidence intervals. Adjusted R 2 are in bold
Note.
* p < .05,
** p < .01;
Gender is coded as 1 = Man, 2 = Woman.
3.3 Discussion
Replicating Study 1 correlations, the disgust sensitivity domains were significantly, inversely associated with almost all of the risk-taking domains, except for moral disgust and social risk-taking propensity. Again, however, when the unique predictive values of disgust domains on risk-taking propensity were examined after controlling for age, gender, and the other disgust domains, the pattern of results changed. Further, the domain specific differences seen in Study 2 were not necessarily consistent with Study 1 findings.
Consistent with Study 1, sexual disgust sensitivity was negatively associated with health/safety and social risk-taking propensity, and moral disgust was negatively associated with ethical and financial risk-taking propensity. However, different than Study 1, pathogen disgust sensitivity emerged as negatively associated with recreational risk-taking propensity; sexual disgust sensitivity was not significantly associated with ethical and financial risk-taking propensity; and moral disgust sensitivity emerged as negatively associated with health/safety risk taking propensity. Across the two studies, the sample characteristics and the versions of the DOSPERT were different, which might account for the discrepancies between findings.
4 Mini Meta-Analysis
As there were some inconsistencies in the findings between Studies 1 and 2, we conducted a mini meta-analysis to achieve a more comprehensive and stronger examination of the relations between the three domains of disgust and five domains of risk taking. Along with our two studies, we acquired permission to use two datasets from Sparks et al. (2018), which included the TDDS (Reference Tybur, Lieberman and GriskeviciusTybur et al., 2009), the revised version of the DOSPERT (Reference Blais and WeberBlais & Weber, 2006), and demographic information. The datasets included participants who were recruited through Amazon’s Mechanical Turk and the sample sizes of the studies were N Study1 =1006 and N Study2 = 498 (see Sparks et al., 2018, for details about the sample and recruitment).
To compute effect sizes, Pearson’s r coefficients of partial correlations between domains of disgust and risk taking were used. In the case of missing data, listwise deletion method was used. The total sample included in the meta-analyses was N = 1981. For each domain of disgust, partial correlations were examined with the five domains of risk taking while controlling for the remaining two domains of disgust, gender, and age. For each domain of risk taking, we conducted a separate mini meta-analysis with STATA 16 using the “metan” command (Reference Harris, Deeks, Altman, Bradburn, Harbord and SterneHarris et al., 2008). Fisher’s Z and standard error scores were computed according to Borenstein et al. (2009). To avoid possible issues of heterogeneity, the “random” command was used. This function allows “metan” to run random effect meta-analyses in the presence of heterogeneity and run fixed effect analyses when heterogeneity is not present. The detailed results of the mini meta-analysis are reported in Table 5.
Table 5: Mean effect sizes (r), confidence intervals, and heterogeneity across studies
Across the domain-to-domain associations, there was variability in the strength and direction of the relations between disgust sensitivity and risk-taking propensity. For financial risk-taking propensity, none of the disgust sensitivity domains were significantly associated. For social risk-taking propensity, pathogen disgust sensitivity was not significantly associated, whereas sexual disgust sensitivity was inversely associated with a small to moderate effect size and moral disgust sensitivity was positively associated with a very small effect size. The variation in effect size attributable to heterogeneity was 22.7% for sexual disgust sensitivity and 0% for moral disgust sensitivity.
For recreational risk-taking propensity, there were significant inverse associations with both pathogen disgust sensitivity with a small effect size and sexual disgust sensitivity with a very small effect size. Moral disgust sensitivity was not significantly associated. The variation in effect size attributable to heterogeneity was 16.1% for pathogen disgust sensitivity and 0% for sexual disgust sensitivity.
For health/safety risk-taking propensity, pathogen disgust sensitivity was not significantly associated. There was a significant inverse association with sexual disgust sensitivity with a small to moderate effect size and an inverse association with moral disgust sensitivity with a small effect size. The variation in effect size attributable to heterogeneity was 53.6% for sexual disgust sensitivity and 6.4% for moral disgust sensitivity.
For ethical risk-taking propensity, there was a positive association with pathogen disgust sensitivity with a very small effect size. Sexual disgust sensitivity was not significantly associated with recreational risk-taking propensity. There was an inverse association with moral disgust sensitivity with a small to moderate effect size. The variation in effect size attributable to heterogeneity was 0% for both pathogen disgust sensitivity and moral disgust sensitivity.
5 General Discussion
The current research provides the first examination of the association between disgust sensitivity and risk-taking propensity utilizing a domain specific approach. Across two studies, we found significant inverse bivariate associations between almost all three domains of disgust and five domains of risk-taking propensity, with few exceptions. However, when the unique relations between each disgust domain and risk-taking propensity domain was examined controlling for age, gender, and the other disgust domains, the results indicated specificity to which domains of disgust were associated with which risk domain. Consistent across both studies, sexual disgust sensitivity was negatively associated with health/safety risk-taking propensity and social risk-taking propensity. Moral disgust sensitivity was negatively associated with ethical risk-taking propensity and financial risk-taking propensity. But, there were a number of inconsistent findings across the studies, so we conducted a mini meta–analysis with our studies and two other datasets (Reference Sparks, Fessler, Chan, Ashokkumar and HolbrookSparks et al., 2018). The results of the of mini meta-analysis suggested variability in the strength and direction of associations between disgust and risk-taking domains.
For the domain of social risk taking, the results of the mini meta-analysis showed a small to moderate inverse association with sexual disgust sensitivity and a very small positive association with moral disgust sensitivity. Sexual disgust is related with interpersonal interactions and more specifically related with interactions at an intimate level. Parallel to this, social risk taking includes risks people take in their interpersonal interactions with people they are close with (e.g., friends, family). As both sexual disgust and social risk-taking involve interactions within close relationships, this may explain why these domains are specifically associated. The positive association between moral disgust sensitivity and social risk-taking propensity may be the result of a suppression effect (Reference CongerConger, 1974), as the bivariate correlations were inversely correlated in both Study 1 and Study 2.
Recreational risk taking involves engaging in recreational activities that involve risk of potential injury and bodily harm (e.g., bunjee jumping). In the mini meta-analysis, small inverse relations with pathogen disgust sensitivity and sexual disgust sensitivity were found. Each of these disgust domains involve concern for physical harm. Pathogen disgust involves getting infected and being sick (Reference Tybur, Lieberman and GriskeviciusTybur et al., 2009), and sexual disgust involves unwanted sexual behaviors and possible sexual dysfunctions which may compromise reproductive health (Reference Crosby, Durkee, Meston and BussCrosby et al., 2020). Concern for bodily harm may underlie the specific associations between these domains. Alternatively, these relations may stem from a common underlying personality trait. For example, openness to experience has been inversely related to both pathogen and sexual disgust sensitivity (Reference Tybur, Bryan, Lieberman, Hooper and MerrimanTybur et al., 2011) and positively associated with recreational risk taking (Reference Weller and TikirWell & Tikir, 2011). Therefore, openness to experience may in part account for the association between pathogen and sexual disgust sensitivity and recreational risk taking. Future studies should control for personality.
The Health/Safety domain focuses on risk taking regarding preventative behaviors (e.g., using sunscreen; Reference Butler, Rosman, Seleski, Garcia, Lee, Barnes and SchwartzButler et al., 2012). Initially, we expected pathogen disgust sensitivity, the domain of disgust that is motivated to avoid possible infectious diseases, would be inversely associated with health/safety risk-taking propensity. However, the findings of the mini meta-analysis did not support this expectation. This may be due to the fact that none of the health/safety items of the DOSPERT are specifically related to infectious diseases. One item (i.e., “Engaging in unprotected sex”) has possible infectious disease consequences, but it may be more closely related to sexual disgust than pathogen disgust. Indeed, health/safety risk-taking propensity had a small to moderate inverse relation with sexual disgust sensitivity. It should be noted that the heterogeneity levels for the association with sexual disgust sensitivity is moderate (Reference Higgins, Thompson, Deeks and AltmanHiggins et al., 2003) and some part of this association may be due to sample differences. Health/safety risk-taking propensity also had a small inverse relation with moral disgust sensitivity. Some items in this risk domain involve not adhering to laws or norms (i.e., “driving a car without wearing a seat belt” and “drinking heavily at a social function”), which may be morally condemned. This may explain the inverse association. Due to the preventative behavior focus of the health/safety domain, a new subscale has been developed to examine the medical domain (Reference Butler, Rosman, Seleski, Garcia, Lee, Barnes and SchwartzButler et al., 2012). Future studies on disgust sensitivity and risk-taking propensity may utilize this subscale to examine the relations with a medical focus (e.g., giving blood) rather than preventative behaviors.
Ethical risk taking pertains to behaviors (e.g., cheating, lying, and illegal activity) that are generally judged to be immoral. The moral domain of disgust is related to endorsement of rules and ethics (Reference Tybur, Lieberman and GriskeviciusTybur et al., 2009). Both of these domains focus on an individual’s act of following societal customs and rules. The results showed that these two domains indeed have a small to moderate inverse significant association. Pathogen disgust was positively associated with ethical risk-taking propensity with a small effect size. However, this may be the result of a suppression effect (Reference CongerConger, 1974), as the bivariate correlations between pathogen disgust sensitivity and ethical risk-taking propensity were inversely correlated in both Study 1 and Study 2.
The financial risk-taking domain is related with investment and gambling behavior that may result in monetary gains or losses. The financial domain was not significantly associated with any of the three domains of disgust sensitivity. Weber and colleagues (2002) conceptualize the other four domains of risk-taking (i.e., Social, Recreational, Health/Safety, and Ethical) as personal decisions and keep financial decisions separate. In personal risk-taking domains, the agent directly at risk is the risk-taker (e.g., exclusion by loved ones, harming a part of the body). However, in the case of financial risk-taking, the agent directly at risk is money. The risk-taker will eventually face the consequences of the risk they took, but it will be through their possession of money and the harm will not be at a personal level. In the case of disgust, the possible harm (e.g., getting infected) is also directly influencing the individual and can be considered as personal. Accordingly, due to the non-personal nature of the financial risk-taking domain, the three domains of disgust may have been unrelated.
These findings suggest that utilizing a unidimensional approach to disgust sensitivity or risk-taking propensity may obscure the associations between the constructs. The variability in the strength of the unique associations between the domains of disgust sensitivity and risk-taking propensity indicate that domain specific relations exist between these variables. Taking a domain specific approach can better inform interventions and translational research to reduce risky decision making and behavior. Our results suggest that inducing specific forms of disgust, rather than “general” disgust, may be more effective at reducing specific risky behavior. For example, focusing on moral disgust to lower risk-taking in the context of ethical risks and focusing on sexual disgust to lower risk-taking in the context of health/safety may lead to higher success rates. Further research is needed to test this possibility.
The present findings should be considered in the context of certain limitations. The data are cross-sectional, so causal claims cannot be made. Future studies can utilize experimental or longitudinal designs to examine causality or directionality. This study utilized self-report measures to study disgust sensitivity and risk-taking propensity, which raises concerns of social desirability or biased responding and common method variance. Future research that uses behavioral measurements will help address possible bias or inflated effect sizes. The results of the mini meta-analyses indicated heterogeneity in some effects. Given the small number of studies, more research is needed to reliably assess these associations. The samples were also limited in diversity. Therefore, future research should utilize more diverse samples to assess generalizability of findings.
Overall, this study aimed to provide a novel exploration of how the domains of disgust sensitivity are related to the domains of risk-taking propensity. The findings showed the presence of domains specific unique relations and highlights the significance of using a domain specific approach. Both risk-taking propensity and disgust sensitivity can be measured and studied as a unidimensional construct. However, the domain specific approach can aid in identifying more nuanced relations, which may have important implications for interventions intended to reduce risky behaviors.
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