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: The risk of breast cancer in carriers of BRCA1 and BRCA2 mutations is influenced by factors other than the genetic mutation itself. Modifying factors include a woman's reproductive history and family history of cancer. Risk factors are more likely to be present in women with breast cancer than in women without breast cancer, and therefore the risk of cancer in the two breasts should not be independent. It is not clear to what extent modifying factors influence the risk of a first primary or a contralateral breast cancer in BRCA carriers.", 'We conducted a matched case-control study of breast cancer among 3920 BRCA1 or BRCA2 mutation carriers. We asked whether a past history of breast cancer in the contralateral breast was a risk factor for breast cancer.', 'After adjustment for age, country of residence, and cancer treatment, a previous cancer of the right breast was found to be a significant risk factor for cancer of the left breast among BRCA1 or BRCA2 carriers (relative risk: 2.1; 95% confidence interval: 1.4 to 3.0; p < 0.0001).
Example Output: Is a prior diagnosis of breast cancer a risk factor for breast cancer in BRCA1 and BRCA2 carriers?

Example Input: The DSM-5 encompasses a wide range of symptoms for Major Depressive Disorder (MDD). Symptoms are commonly added up to sum-scores, and thresholds differentiate between healthy and depressed individuals. The underlying assumption is that all patients diagnosed with MDD have a similar condition, and that sum-scores accurately reflect the severity of this condition. To test this assumption, we examined the number of DSM-5 depression symptom patterns in the "Sequenced Treatment Alternatives to Relieve Depression" (STAR*D) study.', 'We investigated the number of unique symptom profiles reported by 3703 depressed outpatients at the beginning of the first treatment stage of STAR*D.', 'Overall, we identified 1030 unique symptom profiles. Of these profiles, 864 profiles (83.9%) were endorsed by five or fewer subjects, and 501 profiles (48.6%) were endorsed by only one individual. The most common symptom profile exhibited a frequency of only 1.8%. Controlling for overall depression severity did not reduce the amount of observed heterogeneity.
Example Output: Is depression a consistent syndrome : An investigation of unique symptom patterns in the STAR*D study?

Example Input: Health-risk behaviours (HRB) increase the risk of disability and chronic diseases at an older age. This study aimed to compare Slovakia and the Netherlands regarding differences in the prevalence of HRB by neighbourhood and individual deprivation and to determine whether area differences could be explained by the socio-economic position (SEP) of the residents.', 'We obtained data on non-institutionalized residents aged ≥ 65 years from the EU-FP7: EURO-URHIS 2 project from Slovak (N = 665, response rate 44.0%) and Dutch cities (N = 795, response rate 50.2%). HRB concerned daily smoking, binge drinking, physical activity, consumption of fruits and vegetables and body mass index. Area deprivation was measured by the neighbourhood unemployment rate. Individual SEP was measured by education and household income with financial strain. We used multilevel logistic regression.', 'In Slovakia, no HRB was associated with either neighbourhood unemployment or individual SEP. The elderly in the Netherlands from the least favourable neighbourhoods were more likely to be daily smokers [odds ratio (OR) 2.32; 95% confidence interval (CI) 1.25, 4.30] and overweight (OR 1.84; 95% CI 1.24, 2.75) than residents from the most favourable ones. For the Dutch elderly the gradients varied per HRB and per individual-level SEP indicator. Individual SEP explained country differences in the association of area unemployment with smoking and lack of physical activity but not that with overweight.
Example Output:
Does the effect of neighbourhood unemployment on health-risk behaviours in elderly differ between Slovak and Dutch cities?