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.
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Question: Context: An association between mitral valvar prolapse and low body mass index has been proposed. The goal of this study was to evaluate this suggested association using two independent and large databases. For comparison, we evaluated the association, if any, between bicuspid aortic valve and low body mass index.', 'We retrospectively analyzed, using uni- and multivariate analysis, 1742 echocardiograms that were performed as a part of a cardiac screening of teenage athletes and 24,265 echocardiograms performed between 1984 and 1998 for various clinical indications.', 'The first database included a total of 12,926 (53%) female and 11,339 (47%) male patients. The second database included a total of 1172 male (67%) and 570 female (33%) high school athletes. Mitral valvar prolapse was independently associated with low body mass index in addition to mitral regurgitation in both data bases. An index less than 30 occurred in 78 of 13,874 (0.6%) as opposed to 7 of 3236 (0.2%) in the echo data base, p equal to 0.03, odds ratio: 2.4 confidence intervals: 1.1-5.2, and an index less than 20 occurred in 7 of 354 (2%) as opposed to 6 of 944 (0.6%) in the athletic data base, p equal to 0.03, odds ratio: 3.2 confidence intervals: 1.05-9.5. The finding of a bicuspid aortic valve did not have any association with low body mass index.\Question: Is mitral valvar prolapse significantly associated with low body mass index in addition to mitral and tricuspid regurgitation?

Answer: In our two independent databases, mitral valvar prolapse was independently associated with low body mass index in addition to mitral and tricuspid regurgitation. The cause of this association remains unknown.


Question: Context: To test device integrity and objective auditory reaction for cochlear implant patients intraoperatively.', 'Our protocol for intraoperative testing of the implant device includes device electrode impedance test and neural response telemetry (NRT), which measures the electrically evoked auditory nerve compound action potentials (ECAP).', 'We completed electrode integrity tests and NRT intraoperatively on 40 patients with the Nucleus CI24M cochlear implant. We have measured normal implant function on all 40 patients and obtained ECAP results from 39 patients. Out of 33 patients with normal inner ear, typical ECAPs were recorded in 195 electrodes in all 198 testing electrodes(98.5%). In 7 patients with inner ear Mondini dysphasia, affirmative ECAP waveforms were recorded in 26 electrodes in all 42 testing electrodes. The basal electrode ECAP threshold was higher than that of the epical one.\Question: Do [ The intraoperative application of neural response telemetry with the nucleus CI24M cochlear implant ]?

Answer: The intraoperative measurements of device function and NRT are quite simple, quick and with high accuracy. Inner ear malformation is an important factor that may affect NRT results.


Question: Context: This study aims to assess whether the associations between burnout and sick leave due to stress-related mental disorders, other mental disorders, and somatic conditions are influenced by familial (genetic and shared environmental) factors.', 'In this prospective cohort study, 23,611 Swedish twins born between 1959 and 1985, who answered a web-based questionnaire, including the Pines Burnout Measure 2004-2006, were included. Registry data on sick leave spells from the response date until December 31, 2010 were obtained from the Swedish Social Insurance Agency. Logistic regression analysis was performed to assess odds ratios with 95% confidence intervals for the association between burnout and sick leave for the whole sample, while conditional logistic regression of the same-sex discordant twin pairs was used to estimate the association between burnout and sick leave, adjusting for familial confounding. The Bivariate Cholesky models were used to assess whether the covariation between burnout and sick leave was explained by common genetic and/or shared environmental factors.', 'Burnout was a risk factor for sick leave due to stress-related and other mental disorders, and these associations were explained by familial factors. The phenotypic correlation between burnout and sick leave due to somatic conditions was 0.07 and the association was not influenced by familial factors. The phenotypic correlations between burnout and sick leave due to stress-related (0.26) and other mental disorders (0.30) were completely explained by common genetic factors.\Question: Is the covariation between burnout and sick leave due to mental disorders explained by a shared genetic liability : a prospective swedish twin study with a five-year follow-up?

Answer:
The association between burnout and sick leave due to stress-related and other mental disorders seems to be a reflection of a shared genetic liability.