In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Example Input: Context: Serum uric acid (SUA) has been associated to incident hypertension and increased risk of cardiovascular diseases.', 'Among the 2191 subjects enrolled during the last population survey of the Brisighella Heart Study, we identified 146 new cases of arterial hypertension and 394 treated but uncontrolled hypertensive patients with different levels of SUA. Their hemodynamic characteristics have been compared with those of age- and sex-matched normotensive (N. 324) and controlled hypertensive (N. 470) subjects. Then, by logistic regression analysis, we evaluated which factors were associated with a worse BP control under pharmacological treatment.', 'SUA levels were significantly higher in untreated hypertensive and uncontrolled hypertensive patients when compared to normotensives and controlled hypertensive patients. Pulse wave velocity (PWV) was significantly higher (p<0.001) in undiagnosed and uncontrolled hypertensive patients, while controlled hypertensive patients had PWV values comparable to normotensive controls. A similar trend has been observed for the augmentation index (AI). A worse BP control was associated with SUA levels (OR 1277, 95% CI 1134-1600 per mg/dL), AI (OR 1066, 95%CI 1041-1092 per unit), and PWV (OR 1201, 95% CI 1089-1423, per m/s), but not with age, body mass index, nor estimated glomerular filtration rate.\Question: Is high serum uric acid associated to poorly controlled blood pressure and higher arterial stiffness in hypertensive subjects?
Example Output: Based on our data, SUA seems to be associated with an inadequate BP control in subjects treated with antihypertensive drugs, and subjects with both uncontrolled BP and relatively high SUA levels have also an increased arterial stiffness that (per se) could be a cause of worse BP control under treatment.

Example Input: Context: Optimistic people report a higher quality of life, engage in more active coping and adopt more health-promoting behaviors than people low in optimism, ie, pessimism. We evaluated whether pessimists are more likely to show progression in carotid disease than optimists.', 'A total of 209 middle-aged healthy premenopausal women enrolled in an epidemiological study of cardiovascular risk factors and had carotid scans 10.4 years and 13.5 years later when they were at least 5 years postmenopausal. Women completed the Life Orientation Test (LOT), a measure of pessimistic and optimistic attitudes, at study entry and at the time of the first carotid scan. Analyses evaluated the association of LOT scores and change in carotid intima medial thickness (IMT) across 3 years.', 'Multiple linear regression analyses showed that the higher the pessimism scores at study entry, the greater the increase in mean IMT (beta = 0.17, p <.007). A comparison of those in the lowest quartile of LOT scores (most optimistic) with those in the other three quartiles showed that the most optimistic group had less progression than the remaining more pessimistic women (mean percent increase = 1.3 and 6.0 for mean IMT, F = 15.4, p <.001). Women who were chronically optimistic at study entry and at the first carotid scan (bottom quartiles at both times) had less progression in mean IMT than did those who were chronically pessimistic (top quartiles at both times).\Question: Do optimistic attitudes protect against progression of carotid atherosclerosis in healthy middle-aged women?
Example Output: Optimistic women are less likely to show progression of carotid disease in mid-life than are pessimists.

Example Input: Context: Social influence is prominent across the lifespan, but sensitivity to influence is especially high during adolescence and is often associated with increased risk taking. Such risk taking can have dire consequences. For example, in American adolescents, traffic-related crashes are leading causes of nonfatal injury and death. Neural measures may be especially useful in understanding the basic mechanisms of adolescents' vulnerability to peer influence.", 'We examined neural responses to social exclusion as potential predictors of risk taking in the presence of peers in recently licensed adolescent drivers. Risk taking was assessed in a driving simulator session occurring approximately 1 week after the neuroimaging session.', 'Increased activity in neural systems associated with the distress of social exclusion and mentalizing during an exclusion episode predicted increased risk taking in the presence of a peer (controlling for solo risk behavior) during a driving simulator session outside the neuroimaging laboratory 1 week later. These neural measures predicted risky driving behavior above and beyond self-reports of susceptibility to peer pressure and distress during exclusion.\Question: Do neural responses to exclusion predict susceptibility to social influence?
Example Output:
These results address the neural bases of social influence and risk taking; contribute to our understanding of social and emotional function in the adolescent brain; and link neural activity in specific, hypothesized, regions to risk-relevant outcomes beyond the neuroimaging laboratory. Results of this investigation are discussed in terms of the mechanisms underlying risk taking in adolescents and the public health implications for adolescent driving.