Table 2. Participant characteristics for Non-Drug, Psilocybin, LSD, Ayahuasca, and DMT groups1,2.
Non-Drug | Psilocybin | LSD | Ayahuasca | DMT | |
---|---|---|---|---|---|
n = 933 | n = 766 | n = 904 | n = 282 | n = 307 | |
Mean age at study participation in years (SD) | 55.2 (13.5) | 31.3 (12.2) a | 30.5 (14.8) a | 37.8 (11.6) b | 30.6 (12.9) a |
Mean age at time of experience in years (SD) | 32.0 (16.4) | 24.5 (9.1) a | 21.7 (6.7) b | 34.6 (11.0)c | 26.6 (9.3) a |
Sex (% male) | 32% | 80% a | 80% a | 63% b | 82% a |
Race (% White) | 89% | 86%a | 84%a | 83%a | 83%a |
Ethnicity (% Hispanic) | 7% | 9%a | 11%a | 13%a | 9%a |
Education (% Bachelor’s Degree or higher) | 54% | 42% a | 38% a | 62%b | 41% a |
Annual household income (% less than $50,000) | 42% | 54% a | 52% a | 47%b | 57% a |
Relationship Status (% never married) | 16% | 51% a | 62% b | 36% c | 58% a,b |
Country of Residence (% United States) | 69% | 62%a | 68%a | 40% b | 63%a |
1 Dichotomous demographic variables were analyzed with a general linear model with a logit link. Age was analyzed with ANOVA. Pairwise comparisons among groups were adjusted using Bonferroni method to control for Type I error.
2 Bold font = significant difference from the Non-Drug Group (p≤0.001); drug groups not sharing a common letter are significantly different (p≤0.001).