Table 4 presents the results of a series of multiple logistic
regressions that modeled the use of herbal medicine in this
population. The first analysis included only the sociodemographic
characteristics as independent variables. As can be
seen in the table, female gender, being age 75 and older, living
alone, being an immigrant, and reporting financial strain
remained significant predictors of herbal medicine usage
even when controlling for other sociodemographic factors.
Table 4 also shows the results of individual logistic regressions
modeling herbal medicine use on each of the
health-related measures, controlling for the influence of the
sociodemographic variables. All variables shown in Table 3
were analyzed, but only those that remained significant predictors
are shown in Table 4. Arthritis, hip fracture, urinary
Table 4 presents the results of a series of multiple logisticregressions that modeled the use of herbal medicine in thispopulation. The first analysis included only the sociodemographiccharacteristics as independent variables. As can beseen in the table, female gender, being age 75 and older, livingalone, being an immigrant, and reporting financial strainremained significant predictors of herbal medicine usageeven when controlling for other sociodemographic factors.Table 4 also shows the results of individual logistic regressionsmodeling herbal medicine use on each of thehealth-related measures, controlling for the influence of thesociodemographic variables. All variables shown in Table 3were analyzed, but only those that remained significant predictorsare shown in Table 4. Arthritis, hip fracture, urinary
การแปล กรุณารอสักครู่..
