An identical pattern of results emerged when all analyses were repeated co-varying for gender, medication status, age and NART estimated IQ, suggesting that the findings can in no significant way be accounted for by demographic confounds.
The enhanced connectivity of motor cortex and supplementary motor area positively correlated with tic severity and was independent of the current medication status, age or gender of the patients with GTS.
This enhanced connectivity of motor cortex positively correlated with severity of tics measured by the Yale Global Tics Severity Scale and was not influenced by current medication status, age or gender of patients.
Fig. 2 Conditional probability of increasing consumption for a particular demographic group given respondents exposed grapefruit news: a awareness of grapefruit-medication interactions, b changes by prescribed medication status over age, c changes by frequency of grapefruit consumption over age. Figure 2b shows the interaction effect of age with status of prescription medication.
Fig. 1 Conditional probability of awareness of grapefruit news releases for a particular demographic group, a changes by prescription medication status over age and b changes by frequency of grapefruit consumption over age.
In the final model we assessed interactions between temperature and race, region, education, income, sex, hypertensive medication status, and age.
Our results indicated that the relationship of temperature with SBP or DBP differed only negligibly by stroke-risk region, race, education, income, sex, hypertensive medication status, or age.
In addition, we examined whether these relationships are modified by stroke-risk region, race, education, income, sex, hypertensive medication status, or age.
Relationships between temperature and blood pressure had negligible differences by stroke-risk region, race, education, income, sex, hypertensive medication status, or age.
While it is possible these relationships differ by region, race, education, income, sex, hypertensive medication status, or age, our study provides evidence that the differences are likely not large.
Linear regression of data from 20,623 participants was used in final multivariable models to determine if these temperature measures were associated with levels of systolic or diastolic blood pressure, and whether these relations were modified by stroke-risk region, race, education, income, sex hypertensive medication status, or age.
