Mafalda Andrea1, Mario Andrea2, Maria Luísa Figueira3. 1. Department of Psychiatry, Santa Maria Hospital, Lisbon, Portugal. mafaldaandrea@gmail.com. 2. University Clinic of Otolaryngology, Faculty of Medicine, University of Lisbon, Lisbon, Portugal. 3. University Clinic of Psychiatric and Medical Psychology, Faculty of Medicine, University of Lisbon, Lisbon, Portugal.
Abstract
PURPOSE: Functional voice disorders (FVD) are multifactorial and may have a significant impact on the patients' quality of life (QOL). The aim of this study was to explore and analyze the relationship between the VHI scores, psychological variables, and objective voice measurements, and to develop a psychological and/or vocal acoustic model for the overall self-perceived evaluation of quality of life for three different types of FVD. METHODS: After ENT examination, 83 women were classified into three groups: psychogenic voice disorder (PVD = 39), primary muscle tension voice disorder (MTVD1 = 16), and secondary muscle tension voice disorder (MTVD2 = 28). All patients were evaluated according to a multidisciplinary assessment protocol, which included the self-evaluation of quality of life (Voice Handicap Index, VHI), psychological evaluation (Hamilton Rating Scales for Depression (HAM-D) and for Anxiety (HARS), and Temperament Evaluation of Memphis, Pisa, Paris and San Diego-Auto questionnaire (TEMPS-A)), and vocal acoustic analysis [mean fundamental frequency (F0, Hz), jitter (local, %), shimmer (local, %), and harmonic-to-noise ratio (HNR, dB)]. RESULTS: Our findings revealed a moderate impact on QOL, regardless of the type of FVD. There were significant correlations between VHI scores, psychological variables, and voice perturbation parameters, with the exception of the MTVD1 and MTVD2 groups. The stepwise multiple linear regression analysis suggested that QOL could be explained by: anxious temperament together with shimmer in PVD group, jitter in the MTVD1 group, and depressive temperament in the MTVD2 group. CONCLUSIONS: Affective temperaments and/or voice perturbation parameters were meaningful predictors of self-evaluation of quality of life in patients with different types of FVD.
PURPOSE:Functional voice disorders (FVD) are multifactorial and may have a significant impact on the patients' quality of life (QOL). The aim of this study was to explore and analyze the relationship between the VHI scores, psychological variables, and objective voice measurements, and to develop a psychological and/or vocal acoustic model for the overall self-perceived evaluation of quality of life for three different types of FVD. METHODS: After ENT examination, 83 women were classified into three groups: psychogenic voice disorder (PVD = 39), primary muscle tension voice disorder (MTVD1 = 16), and secondary muscle tension voice disorder (MTVD2 = 28). All patients were evaluated according to a multidisciplinary assessment protocol, which included the self-evaluation of quality of life (Voice Handicap Index, VHI), psychological evaluation (Hamilton Rating Scales for Depression (HAM-D) and for Anxiety (HARS), and Temperament Evaluation of Memphis, Pisa, Paris and San Diego-Auto questionnaire (TEMPS-A)), and vocal acoustic analysis [mean fundamental frequency (F0, Hz), jitter (local, %), shimmer (local, %), and harmonic-to-noise ratio (HNR, dB)]. RESULTS: Our findings revealed a moderate impact on QOL, regardless of the type of FVD. There were significant correlations between VHI scores, psychological variables, and voice perturbation parameters, with the exception of the MTVD1 and MTVD2 groups. The stepwise multiple linear regression analysis suggested that QOL could be explained by: anxious temperament together with shimmer in PVD group, jitter in the MTVD1 group, and depressive temperament in the MTVD2 group. CONCLUSIONS: Affective temperaments and/or voice perturbation parameters were meaningful predictors of self-evaluation of quality of life in patients with different types of FVD.
Authors: Alicja Popiołek; Bartosz Brzoszczyk; Piotr Jarzemski; Małgorzata Piskunowicz; Marcin Jarzemski; Alina Borkowska; Maciej Bieliński Journal: Cancer Manag Res Date: 2022-05-20 Impact factor: 3.602