The explanatory variables of the Poisson model were age, sex, race, marital status, religion, schooling, income, self-perceived health, quality of life by EQ-5D-3L, body mass index classification, regular physical activity, alcohol consumption, smoking, daily sleep hours, medical appointments in the previous year, hospitalizations in the previous year, coverage by a private health plan, use of the pharmaceutical services.
Poisson regression with robust variance was used to investigate factors related to medicinal plant use. The explanatory variables of the Poisson model were age, sex, race, marital status, religion, schooling, income, self-perceived health, quality of life by EQ-5D-3L, body mass index classification, regular physical activity, alcohol consumption, smoking, daily sleep hours, medical appointments in the previous year, hospitalizations in the previous year, coverage by a private health plan, use of the pharmaceutical services. Only variables with a p-value < 0.05 remained in the final multivariable model. All data were analyzed using the Jamovi Software version 2.2.5 and Stata version 16.1.