As all focus group participants had been on medication for significant periods of time, they were all able to identify ways in which the high doses they used had affected their cognitive functioning.
Eligibility required body mass index (BMI) of <30, no major hospitalization within the last 3 years, no current acute illness or injury, no chronic inflammatory or neoplastic disease and no medication for significant clinical disease.
When adjusted for age, education, marital status and medication for cardiovascular disease, a significant decline in reading, vocabulary and mini-mental-state-examination (MMSE) was seen when compared to those without a diagnosis of IHD.
For medication adherence, a significant main effect for study arm indicated that the CBT-AD arm maintained 24.3 percentage points higher medication adherence than the ETAU arm during the follow-up period (95% CI −38.2 to −10.3, P = 0.001) (Table 3).
And, for those reporting no use of medication for anxiety, there were statistically significant results for both pre- to PO (t = −2.70, df = 75, p = .01) and pre- op to day 10 (t = −3.99, df = 62, p = .001).001
In the multivariate analysis with all patient en treatment factors, only added/changed medication for hypertension and cholesterol remain significant, B= −1.051 955% CI −2.039, -0.062) and B= −2.067 955% CI −3.247, -0.886), respectively.
A Pearson's correlation between the UPDRS score and repetition rate for patients "on" medication was significant showing increased repetition rate in patients with lower scores (R = −0.51, P = 0.02).
Similarly, months with a stock-out of MCH drugs had a lower number of pregnant women and children receiving medication for PMTCT, but again not statistically significant.
Today, problems related to medications are common in the healthcare profession, and are responsible for significant morbidity, mortality, and cost.
Besides the upsurge in therapy and medication for children, the data indicates a significant percentage still needs help, but hasn't come to get it.
In the FINRISK cohort, besides age, sex and smoking, also systolic blood pressure, waist circumference and medication for high blood pressure were statistically significant predictors of CVD.
