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: While the anticholinergic activity of medications has been linked to cognitive decline, few studies have linked anticholinergic burden with falls in older people. We evaluated the relationship between anticholinergic burden and recurrent and injurious falls among community-dwelling older adults.', 'This case-control study was performed on 428 participants aged 65 years, 263 cases with two or more falls or one injurious fall in the preceding 12 months, and 165 controls with no falls in the preceding 12 months. Anticholinergic burden was determined using the anticholinergic cognitive burden (ACB) scale. Upper and lower limb functional abilities were assessed with timed up and go (TUG), functional reach (FR) and grip strength (GS). Logistic regression analysis was employed to calculate the mediation effect of TUG, FR and GS on ACB associated falls.', 'Univariate analysis revealed a significant association between an ACB score of 1 with falls (OR, 1.8; 95% CI; 1.1-3.0; p=0.01) and significantly poorer TUG and FR. The association between ACB1 and falls was no longer significant after adjustment for either TUG (OR for ACB associated falls, 1.4; 95% CI, 0.88-2.4; p=0.14) or FR (OR for ACB associated falls, 1.4; 95% CI, 0.89-2.4, p=0.12) but remained significant with GS.
Example Output: Is anticholinergic burden associated with recurrent and injurious falls in older individuals?

Example Input: Thailand has the lowest incidence of gastric cancer in the world. Helicobacter pylori infection, a low serum pepsinogen I/II ratio, and interleukin (IL)-1beta-511 polymorphisms are suspected to be risk factors for gastric cancer.', 'A total of 167 Thais, comprising 56 cancer patients and 111 volunteers without cancer, underwent an esophagogastroduodenoscopic examination and three fixed-point biopsies; a cancer tissue biopsy was also done, and blood samples were collected. The subjects without cancer were divided into normal subjects and chronic gastritis patients. IL-1beta-511 polymorphisms were analyzed by polymerase chain reaction-restriction fragment length polymorphism, and the serum levels of pepsinogen I and II were determined by a radioimmunoassay. Helicobacter pylori IgG antibody and tissue pathology were tested in all groups.', 'The pepsinogen I/II ratio was significantly lower in the gastric cancer group than in the normal and chronic gastritis groups [odds ratio (OR), 2.3; 95% confidence interval (CI), 1.10-4.80; P = 0.025]. Gastric cancer patients were positive for the H. pylori IgG antibody more frequently than negative (OR, 2.946; 95% CI, 1.4-6.39; P = 0.005). However, only 15 (27%) cancer patients were both positive for H. pylori IgG antibody and had low serum pepsinogen I/II. The C/C genotype was found more frequently in the gastric cancer group than in the group with a normal gastric mucosa (OR, 0.64; 95% CI, 0.50-0.81; P = 0.014).
Example Output: Are helicobacter pylori infection in combination with the serum pepsinogen I/II ratio and interleukin-1beta-511 polymorphisms independent risk factors for gastric cancer in Thais?

Example Input: Both obesity and type 2 diabetes are among the risk factors for breast cancer development. Combined effect of these metabolic abnormalities on breast cancer risk however, has not been examined in premenopausal women. We tested this association in type 2 diabetic women, categorized as obese, overweight and normal body weight groups based on BMI.', 'A total of 101 subjects were included in this study. Serum levels of IL-6, TNF-alpha, C reactive protein, leptin, TGF-alpha, adiponectin and insulin were measured by ELISA. Data were logarithmically transformed for variables not normally distributed. Analysis of variance with post-hoc Bonferroni was applied to compare the data between the groups. Simple and partial correlation coefficients between the variables were determined and a stepwise multiple linear regression analysis was performed to determine the relationships between the variables of interest.', 'Significantly increased levels of IL-6, C reactive protein, leptin and significantly decreased levels of adiponectin were found in obese group, while the levels of TNF-alpha and TGF-alpha were unaltered. A positive correlation between waist circumference and IL-6 was found in obese group. Similarly, C reactive protein, waist and hip circumferences were linearly correlated with BMI in obese group. Stepwise multiple linear regression analysis revealed several significant predictors for breast cancer risk.
Example Output:
Do combined effects of obesity and type 2 diabetes contribute to increased breast cancer risk in premenopausal women?