| Title |
Microbes, Mating, and Morality: Individual Differences in Three Functional Domains of Disgust
|
|---|---|
| Published in |
Journal of Personality & Social Psychology, July 2009
|
| DOI | 10.1037/a0015474 |
| Pubmed ID | |
| Authors | |
| Abstract |
What is the function of disgust? Whereas traditional models have suggested that disgust serves to protect the self or neutralize reminders of our animal nature, an evolutionary perspective suggests that disgust functions to solve 3 qualitatively different adaptive problems related to pathogen avoidance, mate choice, and social interaction. The authors investigated this 3-domain model of disgust across 4 studies and examined how sensitivity to these functional domains relates to individual differences in other psychological constructs. Consistent with their predictions, factor analyses demonstrated that disgust sensitivity partitions into domains related to pathogens, sexuality, and morality. Further, sensitivity to the 3 domains showed predictable differentiation based on sex, perceived vulnerability to disease, psychopathic tendencies, and Big 5 personality traits. In exploring these 3 domains of disgust, the authors introduce a new measure of disgust sensitivity. Appreciation of the functional heterogeneity of disgust has important implications for research on individual differences in disgust sensitivity, emotion, clinical impairments, and neuroscience. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 15% |
| Spain | 2 | 15% |
| China | 1 | 8% |
| United Kingdom | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 92% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 2% |
| United Kingdom | 10 | 1% |
| Netherlands | 3 | <1% |
| Portugal | 2 | <1% |
| Poland | 1 | <1% |
| New Zealand | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Kenya | 1 | <1% |
| Italy | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 767 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 156 | 19% |
| Student > Master | 132 | 16% |
| Student > Bachelor | 115 | 14% |
| Researcher | 75 | 9% |
| Student > Doctoral Student | 40 | 5% |
| Other | 130 | 16% |
| Unknown | 156 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 392 | 49% |
| Social Sciences | 57 | 7% |
| Agricultural and Biological Sciences | 46 | 6% |
| Business, Management and Accounting | 35 | 4% |
| Medicine and Dentistry | 16 | 2% |
| Other | 68 | 8% |
| Unknown | 190 | 24% |