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《卡纳达歌唱嗓音障碍指数-10 的调适与验证》。

Adaptation and Validation of the Kannada Singing Voice Handicap Index-10.

机构信息

Department of Audiology and Speech Language Pathology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Department of Speech and Hearing, School of Allied Health Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.

出版信息

J Voice. 2019 Jul;33(4):582.e1-582.e4. doi: 10.1016/j.jvoice.2018.02.005. Epub 2018 May 3.

Abstract

OBJECTIVE

The aim of the present study was to adapt and validate the English version of the Singing Voice Handicap Index-10 (SVHI-10) into Kannada language.

STUDY DESIGN

Cross-sectional Comparitive study design.

METHODS

The English version of SVHI-10 was translated into Kannada using standard procedure. A total of 115 singers participated in the study, including 90 singers with no voice problems (control group) and 25 singers with voice problems. The internal consistency, test-retest reliability, clinical validity, and cutoff points were calculated.

RESULTS

Kannada SVHI-10 has excellent internal consistency and test-retest reliability. The singers with voice problems scored significantly higher than the singers with no voice problems (t = -14.67, df = 113, P < 0.001). The optimal cutoff point of the SVHI-10 was 9.5 with a sensitivity of 96% and specificity of 84%.

CONCLUSION

The Kannada SVHI-10 is a reliable and clinically valid tool to assess the self-reported singing voice handicap among singers. It can also be used as a quick screening tool for distinguishing singers with and without voice problems as per client's perception.

摘要

目的

本研究旨在将英文版 Singing Voice Handicap Index-10(SVHI-10)改编并验证为卡纳达语。

研究设计

横断面比较研究设计。

方法

采用标准程序将英文版 SVHI-10 翻译成卡纳达语。共有 115 名歌手参与了这项研究,其中 90 名歌手没有嗓音问题(对照组),25 名歌手有嗓音问题。计算了内部一致性、重测信度、临床有效性和截断值。

结果

卡纳达语 SVHI-10 具有极好的内部一致性和重测信度。有嗓音问题的歌手得分明显高于没有嗓音问题的歌手(t=-14.67,df=113,P<0.001)。SVHI-10 的最佳截断值为 9.5,灵敏度为 96%,特异性为 84%。

结论

卡纳达语 SVHI-10 是一种可靠且具有临床有效性的工具,可用于评估歌手自我报告的歌唱嗓音障碍。它还可以作为一种快速筛选工具,根据客户的感知来区分有嗓音问题和无嗓音问题的歌手。

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