Given a passage with a context and an answer, 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: Context: To investigate serum beta2-glycoprotein I-low-density lipoprotein (2-GPI-LDL) and oxidized low-density lipoprotein (ox-LDL) levels in type 2 diabetes mellitus (T2DM) patients, and to further evaluate the associations of 2-GPI-LDL with ox-LDL in vivo and with the presence of diabetic microvascular complications.', 'We determined 2-GPI-LDL, ox-LDL and small dense low density lipoprotein cholesterol (sdLDL-C) levels in 236 T2DM patients with or without microvascular complications and 75 controls. The correlation analyses, multiple linear regression analyses and logistic regression analyses were performed, respectively.', 'Compared with controls, 2-GPI-LDL and ox-LDL levels were significantly elevated in both groups of T2DM patients and those with microvascular complications exhibited the more significant increase than those without complications. Serum 2-GPI-LDL levels were positively correlated with ox-LDL as well as sdLDL-C levels in T2DM patients. Multiple linear regression analyses showed that ox-LDL was one of the independent determinants of 2-GPI-LDL levels. Logistic regression analyses indicated that elevated 2-GPI-LDL and ox-LDL levels had significant predictive values for diabetic microvascular complications.
Answer: Elevated serum 2-GPI-LDL levels may be a serological hallmark of enhanced LDL oxidation in vivo and closely associated with the presence of diabetic microvascular complications.
Example Output: Are elevated beta2-glycoprotein I-low-density lipoprotein levels associated with the presence of diabetic microvascular complications?

Example Input: Context: The aim of this study was to evaluate how closely analysis of bone quality performed using the bone mineral density (BMD) values obtained by quantitative computerized tomography (QCT) reflected the histologic bone density.', "Eighteen patients requiring implant therapy underwent CT scanning. Their data were processed using Image Master software, and the BMD was calculated by measuring the Hounsfield units and relating those values to a phantom (Calibration Phantom, Quantitative Technologies). Each patient wore a radiographic-surgical template in which titanium cylinders were placed as a drilling guide for preparation of the implant site. The mouth regions where the titanium guides were placed (on the CT images and in the patient's mouth) corresponded to the implant sites where the BMD was measured and where tissue specimens for histomorphometric analysis retrieved. Forty specimens measuring 6 mm in length and 2 mm in diameter were obtained. Histomorphometric analysis was performed by digitizing the images, which were subsequently analyzed using the image analysis software IAS 2000. The bone volume (BV) was calculated as a percentage by dividing the area occupied by the mineralized bone over the entire microscopic field.", 'The results of the statistical analysis showed a Pearson correlation coefficient of 0.691 between the BV and BMD values, with a P value < 0.01, which was considered significant.
Answer: The results of this study support the use of QCT to assess the bone quality before implant placement to improve the planning of implant treatment.
Example Output: Are bone mineral density and bone histomorphometry statistically related?

Example Input: Context: To investigate the relationship between gestational diabetes mellitus (GDM) and the usual intake of fatty acids and indices of dietary fat quality [the atherogenicity (AI) and thrombogenicity indices (TI), and the ratios of hypo-and hypercholesterolemic (hH), n-3/n-6, and polyunsaturated/saturated fatty acids (P:S)], during mid-pregnancy.', "799 adult pregnant women living in Ribeirao Preto, SP, Brazil were screened and accepted for this cross-sectional GDM study. The Multiple Source Method was used to estimate participants' usual diet, using two 24-hour dietary recalls during mid-pregnancy. Diagnosis of GDM was defined by the American Diabetes Association criteria of 2015. Logistic regression analysis were used to assess the association between GDM and dietary fat, adjusted for age, education, parity, gestational age at the time of the interview, pre-pregnancy and current BMI, prior GDM, family history of diabetes, smoking, physical activity, energy, fiber, and fatty acids.", 'The mean (standard deviation) age of the women was 28 (5) years, and 19% had GDM. After multiple adjustments, inverse associations between the highest tertile of n-3 fatty acids intake [0.21 (0.08-0.56)], -linolenic intake [0.15 (0.05-0.42)], and GDM were found. A positive association between GDM and the highest tertile of TI [2.66 (1.34-5.29)], and a negative association with the highest tertile of hH ratio [0.41 (0.22-0.77)], were observed. No association between GDM and other indices of dietary fat quality were found.
Answer: The quality of dietary fat during pregnancy is strongly associated with GDM. Randomized clinical trial are needed to confirm these findings.
Example Output:
Is indices of dietary fat quality during midpregnancy associated with gestational diabetes?