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. 2023 Jun 7:1–7. Online ahead of print. doi: 10.1007/s40806-023-00367-y

Functional Heuristics of Disease Transmission from Physical Deformities in Food Preferences

Mitch Brown 1,, Susan M Brown 2
PMCID: PMC10244852  PMID: 37362225

Abstract

Ostensibly serving to restrict contact with disease vectors, humans exhibit aversion toward cues heuristically inferred as pathogenic. This restriction could lead perceivers to downregulate their interest in food consumption, even if such cues may not connote actual disease threats. This proclivity to avoid disease led us to consider how heuristic disease cues inform interest in foods. Participants evaluated a hypothetical food preparer that varied in the presence of heuristic cues to disease transmission (i.e., physical deformities versus healthy control). Individuals with low levels of perceived infectability were more discerning of the social target as a function of disease cues, whereas heightened levels of this trait fostered an overall aversion to targets regardless of health status. Results provide continued evidence for how pathogen avoidance motives compete with other somatic motives.

Keywords: Appetite, Behavioral immune system, Stigma, Prejudice, Disgust


Human survival relies on the successful navigation of competing motivational states. These states are frequently in conflict with each other and require vigilance toward threatening social stimuli (Kenrick et al., 2010; Neuberg et al., 2011). One potential stimulus toward which perceivers often exercise extensive judiciousness is food. Many pathogenic threats are visible in food that elicit disgust (e.g., mold, fungus; Hoefling et al., 2009), whereas additional threats are less visible (e.g., microbes). Perceivers could ultimately use visible heuristics of disease transmission to track the potential contamination of food, even if these heuristics are not diagnostic of actual contamination (e.g., Al-Shawaf et al., 2015; Klaczynski, 2008; Rozin & Nemeroff, 2002).

From an error management perspective (Haselton & Nettle, 2006), erroneously engaging actual disease threats would impose considerable fitness costs than erroneously avoiding targets posing no threat. This could result in aversion toward food with the impression that they connote an actual risk of infection despite a lack of more veridical evidence. Heuristic disease cues include anomalous physical features to which perceptual systems calibrate based on cultural information (e.g., Ackerman et al., 2009; Makhanova et al., 2022). Perceivers with heightened concerns of disease threat could view these features as a source of contamination, a widely identified aversion to anomalous features among those with a chronically heightened motivation to avoid disease (e.g., Makhanova et al., 2015; Murray & Schaller, 2012; Young et al., 2011). This study investigates how heuristic cues to disease foster aversion to food, particularly as a function of individual differences in pathogen avoidance.

Disease Avoidance and Social Perceptions

Organisms have sophisticated responses to disease threats. This response contains both innate (e.g., cellular barriers) and adaptive subsystems (e.g., antigenic responses) affording multilayered defenses against infections (Litman et al., 2005; Pancer & Cooper, 2006). However, these physiological responses are metabolically costly and require major caloric expenditure. Humans increase their metabolic activity by 13% to raise their body temperature by 1 °C (Kluger, 1991). These responses divert metabolic resources from physiological systems that promote competing fitness-enhancing behaviors (e.g., eating, mating) to address more immediate physical threats. In complement to physiological responses to disease, a behavioral immune system appears to have evolved to facilitate prophylactic responses. This system involves the identification and avoidance of disease vectors preemptively to reduce infection, rendering upregulation of metabolically physiological responses unnecessary (Murray & Schaller, 2016).

Within this behavioral immune system are affective and behavioral responses to disease threats. One well-documented response is disgust toward potentially contaminated food (Al-Shawaf et al., 2015; Hoefling & Strack, 2010; Kupfer & Fessler, 2018). The risk of disease transmission through interpersonal contact suggests this avoidance could mitigate disease transmission (Hoang et al., 2019; Jones et al., 2008). This aversion should be especially apparent when people have affiliative opportunities with others unlikely to transmit the disease (Brown et al., 2021a). Both acute salience of disease and heightened levels of pathogen avoidance motives on a dispositional level foster aversive responses. Responses include interpersonal reticence (Brown & Sacco, 2016; Mortensen et al., 2010; Tybur et al., 2020), aversion to physical contact (Brown & Sacco, 2020, 2022; Brown et al., 2021b; Makhanova & Shepherd, 2020; Murray et al., 2017), and disinterest in socialization (Sacco et al., 2014; Sawada et al., 2018).

Disease Avoidance in Food Domains

As pathogenic threats restrict interpersonal behavior, social groups could benefit from enacting rigid norms to mitigate disease transmission. Within these norms could be dietary customs based on heuristic disease concerns. Cultures in geopolitical regions with historically greater disease prevalence adopt restrictive social norms (Schaller & Murray, 2008), even if norms do not actually reduce disease transmission (e.g., discouraging left-handedness; Murray et al., 2011). Both acute and chronic disease concerns heighten derogation toward nonconforming group members whose behavior appears pathogenic (Lund & Miller, 2014; Murray & Schaller, 2012). Such reticence would function to codify social norms ostensibly necessary for cleanliness (e.g., purity rituals), particularly among those with naturally heightened pathogen concerns (Makhanova et al., 2019). Deviation from food hygiene norms could increase a social group’s risk of infection (Wormley & Varnum, 2023).

Reticent dietary norms could be a psychological design feature to reduce foodborne disease transmission (Fessler, 2002). Omnivorous species exhibit neophobia to novel food heuristically associated with disease transmission (e.g., Visalberghi et al., 2002). Humans exhibit a similar aversion as a disgust response (Navarrete & Fessler, 2003), especially considering the pervasiveness of foodborne illnesses through interpersonal contact (Todd et al., 2007). Awareness of heuristic cues to disease could present similar functions, including anomalous physical features regarded as pathogenically threatening despite a lack of contagion (Klaczynski, 2008; Park et al., 2007; White et al., 2014). Dispositional pathogen concern is additionally associated with heightened wariness toward these cues (Miller & Maner, 2012). These heuristic associations between contamination and anomalous appearances could lead to disgust toward those with physical contact with food items.

Current Research

We conducted an experiment investigating the interplay between disease avoidance motives and interest in food based on the presence of heuristic cues of disease threat. We predicted that heuristic disease cues would foster aversion to food preparers with physical deformities, given the wariness individuals demonstrate toward such features (Ackerman et al., 2009; van Leeuwen & Petersen, 2018). Given previous research suggesting that chronic activation of pathogen avoidance motives fosters such aversion (e.g., Brown et al., 2019a, b; Makhanova et al., 2015; Murray & Schaller, 2012; Park et al., 2007), chronically heightened pathogen avoidance motives should heighten this response.

Method

Participants

We recruited 335 participants from a large public university in the Southeastern USA. Twenty-two participants were excluded from final analyses for failing a single attention check item, resulting in a final sample of 313 (206 women, 104 men, 3 undisclosed; MAge = 18.85, SD = 1.34; 85.3% White). A statistical sensitivity analysis in G*Power indicated that we had sufficient power to test for small effects for a basic between-subjects experimental design that includes the two candidate moderators comprising our individual difference measure of disease avoidance (Cohen’s f = 0.16, 1-β = 0.80; Faul et al., 2007).

Materials and Procedure

Disease Avoidance Motives

Participants reported dispositional motivations to avoid disease using the perceived vulnerability to disease scale (PVD; Duncan et al., 2009). This 15-item measure consists of two subscales assessing perceived infectability (PI; MGrand = 3.54, SD = 1.15; α = 0.87) and germ aversion (GA; MGrand = 3.77, SD = 0.92; α = 0.69) along 7-point scales (1, Strongly Disagree; 7, Strongly Agree). Both subscales correlated with each other, although the degree of correlation suggests that they remain distinct from each other (r = 0.24, p < 0.001). Much like previous research showing their distinctiveness (e.g., Brown & Sacco, 2016; Makhanova et al., in press), we consider them separately in the resulting model.

Social Targets

We presented an image of a White male face to represent a hypothetical cook at a restaurant named James. Importantly, this target appeared to differ in health status on a between-subjects basis. The target was presented with several notable deformities (n = 161) or as a healthy control (n = 152). Both versions of the target were presented as a series of slides in a presentation that first introduced the cook with a singular facial image, followed by information on separate slides about where he works and an example of what he cooks. Finally, participants saw an image of the cook’s hand to provide a greater context of his physical appearance.

The first and last slides were critically different from each other as cues to disease versus a control condition, whereas the other slides were the same across conditions. For the physical deformity condition, participants viewed a version of the target with deformities that had large facial rashes that would heuristically implicate the target as diseased, although the potential infection risk afforded by this target was relatively ambiguous (Petersen, 2017). In this condition, we presented an image of his hand to have syndactyly, a birth deformity with increased webbing between fingers to conjoin them. Our decision to use both cues to deformity was to amplify the overall signal value of an estimated disease vector in a person despite neither cue being diagnostic of actual disease transmissibility.

The control target appeared physically healthy and had no rashes. We used a similar negatively valanced control image. We presented an image of the target’s hand in a brace after spraining his wrist from slipping on ice from the year prior while indicating a full recovery. This methodological decision aligned with previous research using injuries as a control condition to match the negative valence of disease without activating disease concerns that deformities elicit (e.g., Murray et al., 2019; Sacco et al., 2014; White et al., 2013). Participants evaluated the target’s perceived health as a manipulation check (1, Very Unhealthy; 7, Very Healthy; Brown & Sacco, 2018). See Fig. 1.

Fig. 1.

Fig. 1

Facial image presented of target person for control (left) and deformity conditions

Evaluations

Participants evaluated the target using eight items assessing the target in relation to his role at a restaurant. Items operated along 7-point scales aggregated into a composite representing favorability, given the high degree of reliability items had (1, Not at All; 7, Very Much; α = 0.91, MGrand = 5.19, SD = 1.16). Table 1 provides a list of the items.

Table 1.

Items comprising the evaluation scale for the target

Scale items
I would find a meal cooked by James to be appetizing
I would feel completely comfortable eating something prepared by James
If I knew James was working in the kitchen of a restaurant, I would be a regular customer
I would want to eat a meal prepared by James
I feel like I would lose my appetite if I knew James prepared my meal.*
If I saw James touching my food, I would be upset.*
If I saw James touching my food, I would be disgusted.*
If I owned a restaurant, I would want to hire James

*The item being reverse-scored

Results

Perceived Health

We used a one-way custom ANCOVA using condition (deformity vs. control) as a between-subjects factor. GA and PI were entered into the model as moderators to test for interactive effects within the same model. A condition main effect indicated the deformed target appeared less healthy (M = 4.68, SD = 1.27) than the control target (M = 5.22, SD = 1.03), F(1, 307) = 5.32, p = 0.022, ηp2 = 0.017.

Effects were most superordinately qualified by a condition × PI interaction, F(1, 307) = 6.66, p = 0.010, ηp2 = 0.021 (Fig. 1). We decomposed the significant interaction with subordinate floodlight analyses at low levels (−1 SD) and high levels of PI (+ 1 SD) within the omnibus analyses. The deformed target appeared less healthy than the healthy target at low PI, b = 0.86, SE = 0.18, t = 4.70, p < 0.001. No difference emerged at high PI, b = 0.18, SE = 0.18, t = 1.00, p = 0.318. Viewed another way, PI predicted worse evaluations of the control target, b =  −0.18, SE = 0.07, t =  −2.48, p = 0.013. The association for the deformed target was not significant, b = 0.08, SE = 0.07, t = 1.17, p = 0.241. No other main effects or interactions emerged (ps > 0.191).

Primary Analysis

We employed a similarly dimensioned ANCOVA for our primary analysis addressing favorability toward the target. The GA main effect was significant, F(1, 307) = 4.79, p = 0.029, ηp2 = 0.015. Bivariate correlations indicated GA was associated with marginally less favorability toward the target (r =  −0.10, p = 0.059).

Effects were most superordinately qualified by a condition × PI interaction, F(1, 307) = 14.87, p < 0.001, ηp2 = 0.046 (Fig. 2). At low PI, participants evaluated the control target more favorably than the deformed target, b = 0.60, SE = 0.18, t = 3.34, p = 0.001. No difference emerged for high-PI participants, b =  −0.33, SE = 0.18, t =  −1.81, p = 0.071. For the deformed target, PI was unexpectedly associated with greater favorability, b = 0.19, SE = 0.07, t = 2.78, p = 0.006. PI was negatively associated with favorability toward the control target, b =  −0.17, SE = 0.07, t −2.37, p = 0.018. No other main effects or interactions emerged (ps > 0.098) Fig. 3.

Fig. 2.

Fig. 2

Perceived health of the target in deformity and control conditions as a function of perceived infectability (PI)

Fig. 3.

Fig. 3

Favorability of the target in deformity and control conditions as a function of perceived infectability (PI)

Mediation Analyses

The unexpected positive association between PI and evaluations of the target with deformities led us to probe the possibility that these effects could be based on general wariness toward social targets among high-PI individuals. Chronically heightened activation of this motive could foster a general perception of social targets as similarly threatening, which could lead them to derogate social targets without disease cues more readily, whereas chronically low levels of activation would elicit discernment between stimuli based on disease status. To test for that fact, we conducted a moderated mediation model using Model 8 in PROCESS (Hayes, 2013), using the perceived health of the target as the candidate mediator. This model afforded us the opportunity to consider condition and PI as the appropriate predictor and moderator for both the mediator and the outcome (i.e., evaluation) within the same model.

We considered the conditional indirect effects at high PI and low PI for both target conditions. Perceptions of the target as healthy did not predict evaluations of the target at high PI, b = 0.09, SE = 0.10, 95% [−0.09, 0.29]. However, at low PI, perceptions of health indeed predict more positive evaluations of the target, b = 0.45, SE = 0.11, 95% CI [0.25, 0.70]. The overall model testing for moderated mediation was significant, with 95% CI [−0.26, −0.03]. This suggests that heightened PI fostered less discernment from perceivers between a target with and without putative cues to disease.

Discussion

Although not supported in the manner predicted, the results were nonetheless aligned with recent research suggesting greater nuance in behavioral immune system effects. High levels of perceived infectability elicited similar levels of vigilance toward both versions of the target, whereas the aversive effects of disease cues appeared specifically for those low in perceived infectability. Chronically heightened pathogen avoidance motives have recently been demonstrated to foster similar levels of aversion to various social stimuli, whereas the effects of disease cues are most prominent among those with lower chronic activation of these motives (e.g.,Brown & Sacco, 2020; Brown et al., 2019a, b). Acute salience of disease cues could foster aversion among individuals with relatively low chronic salience of disease in specific contexts.

That the effects were driven primarily by perceived infectability tracks previous findings implicating a cognitive component of the behavioral immune system as important in evaluating social value. Previous research indicates that perceived infectability is associated with aversion to heuristic disease cues from bodily features (e.g., Brown & Sacco, 2016; Duncan & Schaller, 2009; Young et al., 2011). This wariness could be rooted in configurally processing information about the likelihood of infection, resulting in calculated behaviors to avoid possible illness (Brown et al., 2021b). These preemptive aversions support an error management framework (Haselton & Nettle, 2006), given the fact that the deformities on the target did not appear to be cutaneous of the chef’s actual pathogen load. Rather than risking infection, a cognitive response to cues of physical abnormalities could be sufficient in response to avoid contamination. These effects mirrored how heightened perceived infectability led participants to view the healthy and deformed targets as having similar levels of health.

As evidenced by our mediation model, the unexpected association between perceived infectability and positive evaluations of the deformed target could have been the product of other results. The especially negative evaluation toward the deformed target by individuals low in perceived infectability and greater favorability of the control target could have led to the difference emerging with high perceived infectability who could have simply been warier than all social targets. That is, all features could appear similarly infectious to those perceivers. In fact, the perceived health of the target was not predictive of high-PI individuals’ evaluations. Social perceptions among those with chronically heightened activation of this motive could operate with greater reticence toward all stimuli when disease concerns are chronically activated (Mortensen et al., 2010). From an affordance management perspective (Neuberg et al., 2020), a heightened criterion for a perceived disease avoidance opportunity could lead perceivers not to view any stimulus as particularly appetitive.

Limitations and Future Directions

Various limitations emerged in this study necessitating future research. First, our consideration of behavioral immune system responses was based primarily on chronic activation. Future research could use experimental manipulations of disease salience (e.g., priming; Brown & Sacco, 2020; Makhanova, 2022; Murray & Schaller, 2012). Priming procedures would ostensibly activate pathogen avoidance motives in perceivers prior to their evaluations of disease cues, which could afford more causal evidence for these effects given that personality may be chronic activation of a salient motivational state.

It should also be noted that this study was conducted during the fall and winter months in the second year of the COVID-19 pandemic. During this time, individuals reported greater vigilance toward pathogenic threats in their environment, which saw a decrease in social interests and aversion to novel environments that included going to restaurants (Brown et al., 2021b; Gul et al., 2022; Makhanova & Shepherd, 2020). This unique upregulation of various personality traits that influenced interpersonal behavior could lead to future comparisons for when infectious diseases are less salient.

In addition to particularly salient visual heuristics to disease, it could be possible that actual, albeit subtle, cues to infection could foster considerable aversion. Individuals exhibit above-chance accuracy in identifying whether individuals have contracted an infectious disease without obvious visual cues (e.g., lesions, mucus; Axelsson et al., 2018). Such faces further foster aversion from perceivers (Sarolidou et al., 2019). Future studies could task participants with evaluating meals prepared by faces connoting actual infection compared to healthy controls.

Conclusion

Dietary customs are frequently informed by practices that could serve to reduce contamination likelihood. Although these behaviors should ostensibly serve to address explicit cues of infection, the oversensitivity of behavioral immune system responses to potentially anomalous features could lead perceivers to have a more liberal criterion for what features are diagnostic of disease threat despite a lack of actual risk (e.g., Miller & Maner, 2012).

Author Contribution

MB and SMB conceived this study in cooperation, with MB programming the study and analyzing the data. MB wrote the initial draft. SMB provided critical commentary on a theoretical level in subsequent drafts. Both authors consented to publication.

Data Availability

Data, materials, and pre-registration are provided: https://osf.io/qwkns/?view_only=4967d931fb1e42138842935a5e63653f.

Declarations

Ethical Approval and Consent to Participate

This research had IRB approval. Participants provided informed consent.

Conflict of Interest

The authors declare no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. Ackerman JM, Becker DV, Mortensen CR, Sasaki T, Neuberg SL, Kenrick DT. A pox on the mind: Disjunction of attention and memory in the processing of physical disfigurement. Journal of Experimental Social Psychology. 2009;45:478–485. doi: 10.1016/j.jesp.2008.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Al-Shawaf L, Lewis DM, Alley TR, Buss DM. Mating strategy, disgust, and food neophobia. Appetite. 2015;85:30–35. doi: 10.1016/j.appet.2014.10.029. [DOI] [PubMed] [Google Scholar]
  3. Axelsson J, Sundelin T, Olsson MJ, Sorjonen K, Axelsson C, Lasselin J, Lekander M. Identification of acutely sick people and facial cues of sickness. Proceedings of the Royal Society b: Biological Sciences. 2018;285:20172430. doi: 10.1098/rspb.2017.2430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Brown M, Sacco DF. Avoiding extraverts: Pathogen concern downregulates preferences for extraverted faces. Evolutionary Psychological Science. 2016;2:278–286. doi: 10.1007/s40806-016-0064-6. [DOI] [Google Scholar]
  5. Brown M, Sacco DF. Put a (limbal) ring on it: Women perceive men’s limbal rings as a health cue in short-term mating domains. Personality and Social Psychology Bulletin. 2018;44:80–91. doi: 10.1177/0146167217733072. [DOI] [PubMed] [Google Scholar]
  6. Brown M, Sacco DF. Testing the motivational tradeoffs between pathogen avoidance and status acquisition. Social Psychological Bulletin. 2020;15:1–22. doi: 10.32872/spb.2721. [DOI] [Google Scholar]
  7. Brown M, Sacco DF. How and when crowd salience activates pathogen-avoidant motives. Evolutionary Behavioral Sciences. 2022;16:23–37. doi: 10.1037/ebs0000191. [DOI] [Google Scholar]
  8. Brown M, Keefer LA, Sacco DF, Bermond A. Is the cure a wall? Behavioral immune system responses to a disease metaphor for immigration. Evolutionary Psychological Science. 2019;5:343–356. doi: 10.1007/s40806-019-00191-3. [DOI] [Google Scholar]
  9. Brown M, Sacco DF, Medlin MM. Sociosexual attitudes differentially predict men and women's preferences for agreeable male faces. Personality and Individual Differences. 2019;141:248–251. doi: 10.1016/j.paid.2019.01.027. [DOI] [Google Scholar]
  10. Brown M, Tracy RE, Young SG, Sacco DF. Crowd salience heightens tolerance to healthy facial features. Adaptive Human Behavior and Physiology. 2021;7:432–446. doi: 10.1007/s40750-021-00176-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Brown M, Young SG, Sacco DF. Competing motives in a pandemic: Interplays between fundamental social motives and technology use in predicting (non)compliance with social distancing guidelines. Computers in Human Behavior. 2021;123:106892. doi: 10.1016/j.chb.2021.106892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Duncan LA, Schaller M. Prejudicial attitudes toward older adults may be exaggerated when people feel vulnerable to infectious disease: Evidence and implications. Analyses of Social Issues and Public Policy. 2009;9:97–115. doi: 10.1111/j.1530-2415.2009.01188.x. [DOI] [Google Scholar]
  13. Duncan LA, Schaller M, Park JH. Perceived vulnerability to disease: Development and validation of a 15-item self-report instrument. Personality and Individual Differences. 2009;47:541–546. doi: 10.1016/j.paid.2009.05.001. [DOI] [Google Scholar]
  14. Faul F, Erdfelder E, Lang AG, Buchner A. G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods. 2007;39:175–191. doi: 10.3758/BF03193146. [DOI] [PubMed] [Google Scholar]
  15. Fessler DT. Reproductive immunosuppression and diet: an evolutionary perspective on pregnancy sickness and meat consumption. Current Anthropology. 2002;43(1):19–61. doi: 10.1086/324128. [DOI] [PubMed] [Google Scholar]
  16. Gul P, Keesmekers N, Elmas P, Köse FE, Koskun T, Wisman A, Kupfer TR. Disease avoidance motives trade-off against social motives, especially mate-seeking, to predict social distancing: Evidence from the COVID-19 pandemic. Social Psychological and Personality Science. 2022;13:1281–1293. doi: 10.1177/19485506211046462. [DOI] [Google Scholar]
  17. Haselton MG, Nettle D. The paranoid optimist: An integrative evolutionary model of cognitive biases. Personality and Social Psychology Review. 2006;10:47–66. doi: 10.1207/s15327957pspr1001_3. [DOI] [PubMed] [Google Scholar]
  18. Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. Guilford publications; 2013. [Google Scholar]
  19. Hoang T, Coletti P, Melegaro A, Wallinga J, Grijalva CG, Edmunds JW, Hens N. A systematic review of social contact surveys to inform transmission models of close-contact infections. Epidemiology. 2019;30:723–736. doi: 10.1097/EDE.0000000000001047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Hoefling A, Strack F. Hunger induced changes in food choice. When beggars cannot be choosers even if they are allowed to choose. Appetite. 2010;54:603–606. doi: 10.1016/j.appet.2010.02.016. [DOI] [PubMed] [Google Scholar]
  21. Hoefling A, Likowski KU, Deutsch R, Häfner M, Seibt B, Mühlberger A, Weyers P, Strack F. When hunger finds no fault with moldy corn: Food deprivation reduces food-related disgust. Emotion. 2009;9:50–58. doi: 10.1037/a0014449. [DOI] [PubMed] [Google Scholar]
  22. Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, Daszak P. Global trends in emerging infectious diseases. Nature. 2008;451:990–993. doi: 10.1038/nature06536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Kenrick DT, Griskevicius V, Neuberg SL, Schaller M. Renovating the pyramid of needs: Contemporary extensions built upon ancient foundations. Perspectives on Psychological Science. 2010;5:292–314. doi: 10.1177/1745691610369469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Klaczynski PA. There’s something about obesity: Culture, contagion, rationality, and children’s responses to drinks “created” by obese children. Journal of Experimental Child Psychology. 2008;99:58–74. doi: 10.1016/j.jecp.2007.08.005. [DOI] [PubMed] [Google Scholar]
  25. Kluger MJ. Fever: Role of pyrogens and cryogens. Physiological Reviews. 1991;71:93–127. doi: 10.1152/physrev.1991.71.1.93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Kupfer TR, Fessler DM. Ectoparasite defence in humans: Relationships to pathogen avoidance and clinical implications. Philosophical Transactions of the Royal Society b: Biological Sciences. 2018;373:20170207. doi: 10.1098/rstb.2017.0207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Litman GW, Cannon JP, Dishaw LJ. Reconstructing immune phylogeny: New perspectives. Nature Reviews Immunology. 2005;5:866–879. doi: 10.1038/nri1712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Lund EM, Miller SL. Is obesity un-American? Disease concerns bias implicit perceptions of national identity. Evolution and Human Behavior. 2014;35:336–340. doi: 10.1016/j.evolhumbehav.2014.03.004. [DOI] [Google Scholar]
  29. Makhanova A. The behavioral immune system and intergroup bias: Evidence for Asian-specific bias at the onset of the COVID-19 Pandemic. Evolutionary Psychological Science. 2022;8:333–342. doi: 10.1007/s40806-022-00321-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Makhanova, A., Eubanks, A. D., & Maner, J. K. (in press). Does pathogen avoidance affect intergroup categorization? Replication of Makhanova, Miller, and Maner (2015). Evolutionary Behavioral Sciences.
  31. Makhanova A, Shepherd MA. Behavioral immune system linked to responses to the threat of COVID-19. Personality and Individual Differences. 2020;167:110221. doi: 10.1016/j.paid.2020.110221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Makhanova A, Miller SL, Maner JK. Germs and the out-group: chronic and situational disease concerns affect intergroup categorization. Evolutionary Behavioral Sciences. 2015;9:8–19. doi: 10.1037/ebs0000028. [DOI] [Google Scholar]
  33. Makhanova A, Plant EA, Ketterman AB, Maner JK. Pathogen threat and intergroup prejudice using the minimal group paradigm: Evidence from a registered report. Evolution and Human Behavior. 2022;43:347–357. doi: 10.1016/j.evolhumbehav.2022.05.002. [DOI] [Google Scholar]
  34. Makhanova A, Plant EA, Monroe AE, Maner JK. Binding together to avoid illness: Pathogen avoidance and moral worldviews. Evolutionary Behavioral Sciences. 2019;13:182–204. doi: 10.1037/ebs0000141. [DOI] [Google Scholar]
  35. Mortensen CR, Becker DV, Ackerman JM, Neuberg SL, Kenrick DT. Infection breeds reticence: the effects of disease salience on self-perceptions of personality and behavioral avoidance tendencies. Psychological Science. 2010;21:440–447. doi: 10.1177/0956797610361706. [DOI] [PubMed] [Google Scholar]
  36. Miller SL, Maner JK. Overperceiving disease cues: The basic cognition of the behavioral immune system. Journal of Personality and Social Psychology. 2012;102:1198–1213. doi: 10.1037/a0027198. [DOI] [PubMed] [Google Scholar]
  37. Murray DR, Schaller M. Threat (s) and conformity deconstructed: Perceived threat of infectious disease and its implications for conformist attitudes and behavior. European Journal of Social Psychology. 2012;42:180–188. doi: 10.1002/ejsp.863. [DOI] [Google Scholar]
  38. Murray DR, Schaller M. The behavioral immune system: Implications for social cognition, social interaction, and social influence. Advances in Experimental Social Psychology. 2016;53:75–129. doi: 10.1016/bs.aesp.2015.09.002. [DOI] [Google Scholar]
  39. Murray DR, Fessler DM, Kerry N, White C, Marin M. The kiss of death: Three tests of the relationship between disease threat and ritualized physical contact within traditional cultures. Evolution and Human Behavior. 2017;38:63–70. doi: 10.1016/j.evolhumbehav.2016.06.008. [DOI] [Google Scholar]
  40. Murray DR, Kerry N, Gervais WM. On disease and deontology: Multiple tests of the influence of disease threat on moral vigilance. Social Psychological and Personality Science. 2019;10:44–52. doi: 10.1177/1948550617733518. [DOI] [Google Scholar]
  41. Murray DR, Trudeau R, Schaller M. On the origins of cultural differences in conformity: Four tests of the pathogen prevalence hypothesis. Personality and Social Psychology Bulletin. 2011;37:318–329. doi: 10.1177/0146167210394451. [DOI] [PubMed] [Google Scholar]
  42. Navarrete CD, Fessler D. Meat is good to taboo: Dietary proscriptions as a product of the interaction of psychological mechanisms and social processes. Journal of Cognition and Culture. 2003;3:1–40. doi: 10.1163/156853703321598563. [DOI] [Google Scholar]
  43. Neuberg SL, Kenrick DT, Schaller M. Human threat management systems: Self-protection and disease avoidance. Neuroscience & Biobehavioral Reviews. 2011;35:1042–1051. doi: 10.1016/j.neubiorev.2010.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Neuberg SL, Williams KE, Sng O, Pick CM, Neel R, Krems JA, Pirlott AG. Toward capturing the functional and nuanced nature of social stereotypes: An affordance management approach. Advances in Experimental Social Psychology. 2020;62:245–304. doi: 10.1016/bs.aesp.2020.04.004. [DOI] [Google Scholar]
  45. Pancer Z, Cooper MD. The evolution of adaptive immunity. Annual Review of Immunology. 2006;24:497–518. doi: 10.1146/annurev.immunol.24.021605.090542. [DOI] [PubMed] [Google Scholar]
  46. Park JH, Schaller M, Crandall CS. Pathogen-avoidance mechanisms and the stigmatization of obese people. Evolution and Human Behavior. 2007;28:410–414. doi: 10.1016/j.evolhumbehav.2007.05.008. [DOI] [Google Scholar]
  47. Petersen MB. Healthy out-group members are represented psychologically as infected in-group members. Psychological Science. 2017;28(12):1857–1863. doi: 10.1177/0956797617728270. [DOI] [PubMed] [Google Scholar]
  48. Rozin P, Neneroff C. Sympathetic magical thinking: The contagion and similarity heuristics. In: Gilovich T, Griffin D, Kahneman D, editors. Heuristics and Biases: The Psychology of Intuitive Judgment. Cambridge University Press; 2002. pp. 201–216. [Google Scholar]
  49. Sacco DF, Young SG, Hugenberg K. Balancing competing motives: Adaptive trade-offs are necessary to satisfy disease avoidance and interpersonal affiliation goals. Personality and Social Psychology Bulletin. 2014;40:1611–1623. doi: 10.1177/0146167214552790. [DOI] [PubMed] [Google Scholar]
  50. Sarolidou G, Axelsson J, Kimball BA, Sundelin T, Regenbogen C, Lundström JN, Olsson MJ. People expressing olfactory and visual cues of disease are less liked. Philosophical Transactions of the Royal Society B. 2020;375:20190272. doi: 10.1098/rstb.2019.0272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Sawada N, Auger E, Lydon JE. Activation of the behavioral immune system: Putting the brakes on affiliation. Personality and Social Psychology Bulletin. 2018;44:224–237. doi: 10.1177/0146167217736046. [DOI] [PubMed] [Google Scholar]
  52. Schaller M, Murray DR. Pathogens, personality, and culture: Disease prevalence predicts worldwide variability in sociosexuality, extraversion, and openness to experience. Journal of Personality and Social Psychology. 2008;95:212–221. doi: 10.1037/0022-3514.95.1.212. [DOI] [PubMed] [Google Scholar]
  53. Todd EC, Greig JD, Bartleson CA, Michaels BS. Outbreaks where food workers have been implicated in the spread of foodborne disease. Part 3. Factors contributing to outbreaks and description of outbreak categories. Journal of Food Protection. 2007;70:2199–2217. doi: 10.4315/0362-028X-70.9.2199. [DOI] [PubMed] [Google Scholar]
  54. Tybur JM, Lieberman D, Fan L, Kupfer TR, de Vries RE. Behavioral immune trade-offs: Interpersonal value relaxes social pathogen avoidance. Psychological Science. 2020;31:1211–1221. doi: 10.1177/0956797620960011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. van Leeuwen F, Petersen MB. The behavioral immune system is designed to avoid infected individuals, not outgroups. Evolution and Human Behavior. 2018;39:226–234. doi: 10.1016/j.evolhumbehav.2017.12.003. [DOI] [Google Scholar]
  56. Visalberghi E, Myowa YM, Hirata S, Matsuzawa T. Responses to novel foods in captive chimpanzees. Zoo Biology. 2002;21:539–548. doi: 10.1002/zoo.10057. [DOI] [Google Scholar]
  57. White AE, Johnson KA, Kwan VS. Four ways to infect me: Spatial, temporal, social, and probability distance influence evaluations of disease threat. Social Cognition. 2014;32:239–255. doi: 10.1521/soco.2014.32.3.239. [DOI] [Google Scholar]
  58. White AE, Kenrick DT, Neuberg SL. Beauty at the ballot box: Disease threats predict preferences for physically attractive leaders. Psychological Science. 2013;24:2429–2436. doi: 10.1177/0956797613493642. [DOI] [PubMed] [Google Scholar]
  59. Wormley AS, Varnum ME. How is the behavioral immune system related to hygiene behaviors? Current Research in Ecological and Social Psychology. 2023;4:100081. doi: 10.1016/j.cresp.2022.100081. [DOI] [Google Scholar]
  60. Young SG, Sacco DF, Hugenberg K. Vulnerability to disease is associated with a domain-specific preference for symmetrical faces relative to symmetrical non-face stimuli. European Journal of Social Psychology. 2011;41:558–563. doi: 10.1002/ejsp.800. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data, materials, and pre-registration are provided: https://osf.io/qwkns/?view_only=4967d931fb1e42138842935a5e63653f.


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