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: Women with Turner syndrome (TS) have an increased prevalence of hearing loss, with conductive (CHL) and sensorineural (SNHL) components. The association between hearing loss and clinical parameters, particularly oestrogen and previous growth hormone (GH) treatment, was investigated.', 'A cross-sectional study of pure tone audiometry tests in an adult TS population. Previous ENT history, karyotype, anthropomorphic measurements and the impact of oestrogen and childhood GH therapy were assessed. One hundred and thirty-eight women (median age 29, range 16-67 years) completed the study.', 'Normal hearing was found in 20.3% of women, CHL in 18.8%, SNHL in 57.2% and confounding factors in 3.6%. Neither CHL nor SNHL were associated with oestrogen deficiency or GH treatment independent of age. CHL but not SNHL was more common in those with a history of recurrent otitis media (p < 0.01) and monosomy 45,X (p < 0.01).\Question: Are oestrogen deficiency and growth hormone treatment in childhood associated with hearing in adults with turner syndrome?
Example Output: Current regimens of oestrogen and GH therapy have no impact on adult hearing loss in TS, independent of age. The prevalence of SNHL increases with age. CHL but not SNHL is associated with ENT history and karyotype. According to present evidence, the only possible intervention to reduce hearing loss in women with TS remains assiduous treatment of ENT problems in childhood.

Example Input: Context: To examine peripheral nerve stimulation (PNS) thresholds for normal human subjects in magnetic resonance imaging (MRI) gradient coils, and determine if observed thresholds could be predicted based on gross physiologic measurements.', 'PNS thresholds for 21 healthy normal subjects were measured using a whole-body gradient coil. Subjects were exposed to a trapezoidal echo-planar imaging (EPI) gradient waveform and the total change in gradient strength (DeltaG) required to cause PNS as a function of the duration of the gradient switching time (tau) were measured. Correlation coefficients and corresponding P values were calculated for the PNS threshold measurements against simple physiologic measurements taken of the subjects, including weight, height, girth, and average body fat percentage, in order to determine if there were any easily observable dependencies.', 'No convincing correlations between threshold parameters and gross physiologic measurements were observed.\Question: Do simple anatomical measurements correlate significantly to individual peripheral nerve stimulation thresholds as measured in MRI gradient coils?
Example Output: These results suggest it is unlikely that a simple physiologic measurement of subject anatomy can be used to guide the operation of MRI scanners in a subject-specific manner in order to increase gradient system performance while avoiding PNS.

Example Input: Context: The aim of the present study was to determine the effect of moderate aerobic exercise on cardiac autonomic function in type 2 diabetic patients.', 'Heart rate variability of 20 patients with type 2 diabetes was assessed. Resting electrocardiogram for the heart rate variability analysis at spontaneous respiration was recorded for 5min in the supine position before and after 6months of supervised aerobic training given three times per week.', 'In time domain measures, the square root of the mean of the sum of the squares of differences between adjacent R-R intervals (RMSSD; 29.7 [26-34.5] vs 46.4 [29.8-52.2]ms, P=0.023) and the percentage of consecutive RR intervals that differ by more than 50ms (pNN50; 10.7 [5.5-12.7] vs 26.1 [6.6-37.2]%, P=0.025] were significantly increased after exercise. In frequency domain measures, low frequency (62.4 [59.1-79.2] vs 37 [31.3-43.3]nu, P=0.003) and low frequency/high frequency (1.67 [1.44-3.8] vs 0.58 [0.46-0.59]%, P=0.009) were significantly decreased, whereas high frequency (95 [67-149] vs 229 [98-427]ms(2), P=0.006) and high frequency (37.6 [20.8-40.9] vs 63 [56.7-68.7]normalized units, P=0.003) were significantly increased after exercise. In a Poincare plot, standard deviation perpendicular to the line of the Poincare plot (SD1; 21.3 [18.5-24.8]-33.1 [21.5-37.2]ms, P=0.027) was significantly increased after exercise.\Question: Does mild-to-moderate intensity exercise improve cardiac autonomic drive in type 2 diabetes?
Example Output:
These data suggest that three times per week moderate intensity aerobic exercise for 6months improves cardiac rhythm regulation as measured by heart rate variability in type 2 diabetic patients.