Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Example Input: Many patients with coronary heart disease (CHD) are not managed adequately, and we often fail to reach treatment targets.', 'To investigate if knowledge of risk factors for CHD, measured by a questionnaire, would show any relation to advice to compliance to lifestyle changes to attain treatment goals and adherence to drug therapy.', 'Men and women <71 years who had had a cardiac event were screened consecutively (509) from the medical records. Responders (392) were interviewed, examined and received a questionnaire. Three hundred and forty-seven patients answered the questionnaire regarding their general knowledge of risk factors for CHD, compliance to lifestyle changes to attain treatment goals and adherence to drug therapy.', 'There were statistically significant correlations between general knowledge about risk factors for CHD and compliance to certain lifestyle changes: weight, physical activity, stress management, diet, attainment of lipid level goals and the likelihood of taking prescribed blood pressure-lowering drugs. General knowledge of risk factors had no correlation to blood glucose or blood pressure levels nor on smoking habits or treatment patterns for prescribed lipid- and blood glucose-lowering drugs.
Example Output: Does better knowledge improve adherence to lifestyle changes and medication in patients with coronary heart disease?

Example Input: The objective of this study was to compare health-related quality of life (HR-QoL), disability/work productivity, and health care utilization in a variety of medical disorders with and without comorbid major depressive disorder (MDD) in the general population.', 'Twelve-month MDD (Composite International Diagnostic Interview) diagnosis was determined among 4181 participants from a community sample. Medical diagnoses (respiratory, cardiovascular, allergic, endocrine/metabolic, gastrointestinal, and neurological diseases) were made after medical examination. HR-QoL was evaluated with the MOS-SF-36. Outpatient doctor visits and disability/work productivity were assessed by self-report.', 'Comorbid MDD was associated with a lower SF-36 mental summary score in all medical diagnoses and with a lower physical summary score in comorbid allergic and neurological disorders. The number of coexisting medical disorders was strongly related to lower physical and mental summary scores in cases without comorbid depression. The number of outpatient doctor visits increased by 42% when any of the medical disorders without comorbid MDD was present, and comorbid MDD was associated with a further 24-42% increase, depending on the medical disorder. Comorbid MDD was strongly associated with lower full-time working status (37.1% with MDD vs. 51.0% without MDD) and with a significant increase in disability days (45%) in the presence of any medical disorder.
Example Output: Do medical disorders affect health outcome and general functioning depending on comorbid major depression in the general population?

Example Input: Migraine is a common comorbidity among individuals with bipolar disorder, but the underlying mechanisms for this co-occurrence are poorly understood. The aim of this study was to investigate the genetic background of bipolar patients with and without migraine.', 'We performed a genome-wide association analysis contrasting 460 bipolar migraneurs with 914 bipolar patients without migraine from the Bipolar Genome Study (BiGS).', 'We identified one genome-wide significant association between migraine in bipolar disorder patients and rs1160720, an intronic single nucleotide polymorphism (SNP) in the NBEA gene (P=2.97 × 10(-8), OR: 1.82, 95% CI: 1.47-2.25), although this was not replicated in a smaller sample of 289 migraine cases.
Example Output:
Does genome wide association study identify variants in NBEA associated with migraine in bipolar disorder?