Kymographic characteristics of voice in women with Polycystic ovary syndrome
ABSTRACT Purpose Polycystic ovary syndrome (PCOS) is heterogenous condition with commonly associated symptoms include irregular menstrual cycle, hirsutism, baldness, adult acne, and weight gain There have been few attempts at profiling the voice characteristics of women with polycystic ovary syndro...
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Format: | Article |
Language: | English |
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Sociedade Brasileira de Fonoaudiologia
2021-06-01
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Series: | CoDAS |
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-17822021000500302&tlng=en |
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author | Saranya Blahayil Dhanshree Rajesh Gunjawate Radish Kumar Balasubramanium |
author_facet | Saranya Blahayil Dhanshree Rajesh Gunjawate Radish Kumar Balasubramanium |
author_sort | Saranya Blahayil |
collection | DOAJ |
description | ABSTRACT Purpose Polycystic ovary syndrome (PCOS) is heterogenous condition with commonly associated symptoms include irregular menstrual cycle, hirsutism, baldness, adult acne, and weight gain There have been few attempts at profiling the voice characteristics of women with polycystic ovary syndrome. Videokymography enables to detect even subtle variations in vocal fold vibrations. The aim of the present study was to study the videokymographic characteristics among women with PCOS. Methods A cross-sectional study was carried out among 50 women with and without PCOS diagnosed on ultrasonography. Videokymography was carried out and the characteristics were perceptually analyzed using a vocal fold kymographic rating scale. The analysis of the kymogram was done for the following characteristics; presence of vocal fold vibration,interference of surroundings, Cycle to cycle variability, left-right asymmetry,cycle aberrations and shape of lateral peaks. The kymographic images were obtained for all the participants of both the groups and a subjective consensus evaluation was done by two clinicians. The percentage of participants with the listed kymographic characteristics were tabulated. Chi Square test was also done to decide if there was a significant difference between the two groups for different kymographic features of vocal fold vibration. Results Six of the 25 women with PCOS were found to have abnormal kymographic features such as surrounding structural interference, presence of cycle to cycle variability and the shape of lateral peaks. Conclusion Early detection of the vocal abnormalities in individuals with PCOS would help in the vocal rehabilitation especially for professional voice users. |
first_indexed | 2024-12-20T15:22:59Z |
format | Article |
id | doaj.art-aae9a6d3b60f4ff9b76b9faf163bd105 |
institution | Directory Open Access Journal |
issn | 2317-1782 |
language | English |
last_indexed | 2024-12-20T15:22:59Z |
publishDate | 2021-06-01 |
publisher | Sociedade Brasileira de Fonoaudiologia |
record_format | Article |
series | CoDAS |
spelling | doaj.art-aae9a6d3b60f4ff9b76b9faf163bd1052022-12-21T19:35:58ZengSociedade Brasileira de FonoaudiologiaCoDAS2317-17822021-06-0133510.1590/2317-1782/20202020128Kymographic characteristics of voice in women with Polycystic ovary syndromeSaranya Blahayilhttps://orcid.org/0000-0003-3038-9152Dhanshree Rajesh Gunjawatehttps://orcid.org/0000-0002-2464-2580Radish Kumar Balasubramaniumhttps://orcid.org/0000-0001-6485-4644ABSTRACT Purpose Polycystic ovary syndrome (PCOS) is heterogenous condition with commonly associated symptoms include irregular menstrual cycle, hirsutism, baldness, adult acne, and weight gain There have been few attempts at profiling the voice characteristics of women with polycystic ovary syndrome. Videokymography enables to detect even subtle variations in vocal fold vibrations. The aim of the present study was to study the videokymographic characteristics among women with PCOS. Methods A cross-sectional study was carried out among 50 women with and without PCOS diagnosed on ultrasonography. Videokymography was carried out and the characteristics were perceptually analyzed using a vocal fold kymographic rating scale. The analysis of the kymogram was done for the following characteristics; presence of vocal fold vibration,interference of surroundings, Cycle to cycle variability, left-right asymmetry,cycle aberrations and shape of lateral peaks. The kymographic images were obtained for all the participants of both the groups and a subjective consensus evaluation was done by two clinicians. The percentage of participants with the listed kymographic characteristics were tabulated. Chi Square test was also done to decide if there was a significant difference between the two groups for different kymographic features of vocal fold vibration. Results Six of the 25 women with PCOS were found to have abnormal kymographic features such as surrounding structural interference, presence of cycle to cycle variability and the shape of lateral peaks. Conclusion Early detection of the vocal abnormalities in individuals with PCOS would help in the vocal rehabilitation especially for professional voice users.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-17822021000500302&tlng=enPolycystic Ovary SyndromeVideokymographyHyperandrogenismVoicePCOS |
spellingShingle | Saranya Blahayil Dhanshree Rajesh Gunjawate Radish Kumar Balasubramanium Kymographic characteristics of voice in women with Polycystic ovary syndrome CoDAS Polycystic Ovary Syndrome Videokymography Hyperandrogenism Voice PCOS |
title | Kymographic characteristics of voice in women with Polycystic ovary syndrome |
title_full | Kymographic characteristics of voice in women with Polycystic ovary syndrome |
title_fullStr | Kymographic characteristics of voice in women with Polycystic ovary syndrome |
title_full_unstemmed | Kymographic characteristics of voice in women with Polycystic ovary syndrome |
title_short | Kymographic characteristics of voice in women with Polycystic ovary syndrome |
title_sort | kymographic characteristics of voice in women with polycystic ovary syndrome |
topic | Polycystic Ovary Syndrome Videokymography Hyperandrogenism Voice PCOS |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-17822021000500302&tlng=en |
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