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Observational study to determine the pattern of distribution of stop - bang score in predicting OSA and its implication among female health care providers
Dr. G. Prabhu, Dr. S. Selvamuthukumaran, Dr. Jayasri S.

Observational study to determine the pattern of distribution of stop - bang score in predicting OSA and its implication among female health care providers

Science & Mathematics Published 2019 108.6 KB Verification Pending

Overview & Synopsis

Objective: To determine the pattern of distribution of STOP-Bang score in predicting OSA and its implication among female health care providers. Methods: In this study, we enrolled 100 female health care providers with age>20 years and excluded subjects on long term respiratory illness and with secondary cause of obesity. Detailed historyand clinical examination were done along withfilled STOP-Bang questionnaire. Results: We included 100 subjects, the mean age was 26.23 ± 1.74 years, mean BMI was 23.18+ 1.73. Our study results, Snoring, Tiredness and observed apnea were observed more than other parameters. In the study, the significance of snoring (8% with ‘p’ value 0.006), tiredness (52% with ‘p’ value 0.000) and observed apnea (17% with ‘p’ value 0.001) was statistically significant.The most common score on the STOP-Bang questionnaire was 1point (n = 42), followed by no points (n = 41). Subjects with low risk were 57; with high risk were 2 which were statistically significant. Conclusion: Snoring, tiredness and observed apnea play an important factor among females in STOP-Bang score which also was statistically significant.The STOP-Bang questionnaire performed adequately for OSA screening in female health care providersindicated that it could be used as an effective non-invasive screening tool for identifying subjects with high risk of OSA.

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Document Information

Document Title Observational study to determine the pattern of distribution of stop - bang score in predicting OSA and its implication among female health care providers
Author / Organization Dr. G. Prabhu, Dr. S. Selvamuthukumaran, Dr. Jayasri S.
Subject & Discipline Scientific Research & Data
Categories Science & Mathematics
Publication Year 2019
License / Rights cc-by-4.0
Resource Verification Listed PDF (Verification Pending)
Original Host Website Zenodo (zenodo.org)
File Format application/pdf (Portable Document Format)
Reported File Size 108.6 KB (111,210 bytes)
Language EN
Catalog ID DOC-14784
Original Source Link Visit Source Page on zenodo.org »