Table 4

- Multivariate multinomial logistic regression analysis: predictors of lack of knowledge vs. scientific answer (conditional on the event that the outcome was one of those 2 categories).

EffectsBetaOdds ratioLower confidence intervalUpper confidence intervalP-value
Age0.02221.0221.0101.0350.0006
Gender: female vs. male0.44141.5551.0482.3060.0282
Marital status: married vs. single-0.08830.9150.6021.3930.6799
Educational level: educated vs. uneducated-0.23390.7910.4171.5010.4738
Currently working: yes vs. no-0.25280.7770.4971.2140.2673
Cancer type: hematological malignancy vs. solid tumor0.26091.2980.7652.2030.3336
CAM use: yes vs. no-0.81470.4430.2720.7220.0011
Infectious disease: occasional vs. no-0.51450.5980.1093.2780.5535
Infectious disease: yes vs. no-0.01720.9830.1815.3290.9841
Disease can be cured: occasional vs. no0.28971.3360.4823.7030.5775
Disease can be cured: yes vs. no-0.17020.8440.3621.9670.6937
Surgery: yes vs. no-0.16360.8490.5611.2840.4383
Radiation: yes vs. no0.38401.4680.9792.2010.0630
Chemotherapy: yes vs. no-0.07730.9260.5611.5270.7622
SCT: yes vs. no0.01061.0110.4512.2640.9794
Cohort 2 vs. cohort 1-0.84220.4310.2730.6790.0003

The results of the multinomial logistic regression where the cancer cause (scientific, mythical, and lack of knowledge) answer was modeled as the dependent variable with scientific as reference group and all the factors shown in the table were included as the independent variables. CAM: complementary and alternative medicine, SCT: stem cell transplant, vs.: versus