Voice Handicap Index and Interpretation of the Cutoff Points Using Receiver Operating Characteristic Curve as Screening for Young Adult Female Smokers

Tafiadis, Dionysios; Kosma, Evangelia I.; Chronopoulos, Spyridon K.; Papadopoulos, Angelos; Drosos, Konstantinos; Siafaka, Vassiliki; Toki, Eugenia I.; Ziavra, Nafsika

doi:10.1016/j.jvoice.2017.03.009

Cited by 22 publications

(11 citation statements)

References 57 publications

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“…Many previous studies have shown that smoking is a causal factor changing voice and increasing the prevalence of voice disorders 4,5,9,10 . However, there are studies indicating that smoking does not affect the voice 19 .…”

Section: Discussionmentioning

confidence: 99%

“…It was also confirmed that persisted smoking could cause a vocal cord disease such as laryngitis, Rheinke's edema, and leukoplakia 1 . It was also found that smokers have a risk of various cancers such as oral cancer, pharyngeal cancer, and laryngeal cancer than non-smokers 1,4 .Secondly, smoking is known to change voice characteristics [8][9][10][11] . Smoking induces acoustical changes such as fundamental frequency, jitter, shimmer, and NHR, which determines the quality of voice 12-14 .…”

mentioning

confidence: 99%

“…Secondly, smoking is known to change voice characteristics [8][9][10][11] . Smoking induces acoustical changes such as fundamental frequency, jitter, shimmer, and NHR, which determines the quality of voice 12-14 .…”

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confidence: 99%

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Evaluating the effects of smoking on the voice and subjective voice problems using a meta-analysis approach

Byeon

Cha

2020

Sci Rep

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The objectives of this study were to identify the effects of smoking on the voice of smokers and present the baseline data for establishing the basis for preventing voice disorders. This study was evaluated using a meta-analysis from studies published between Jan 1, 2000, and Nov 15, 2018. As a result, the final meta-analysis was conducted using nine papers. The standard mean difference was analyzed after dividing the effects of smoking on voice into the pitch (F0), sound quality (jitter, shimmer, and noise to harmonic ratio; NHR), Maximum Phonation Time (MPT), and subjective voice problem. The results showed that there was a significant difference in F0 and MPT. On the other hand, the jitter, shimmer, NHR, and Voice Handicap Index (VHI) had different mean effect size but they were not significantly different. The analysis by sub-function of VHI results showed that the mean effect size was significantly different only in VHI-P (Physical). This study evaluated the effects of smoking on voice using metaanalysis. It was confirmed that smoking had significant and moderate effects on the F0 of voice, MPT, VHI, and physical functions. It is necessary for future meta-analysis studies to conduct randomized controlled experiments or longitudinal studies to confirm the effect sizes of variables.The physiology of healthy voice production it is affected by a range of factors such as the strength, quality, soundness, and fluidity of sound 1 . However, the changes in the anatomical structure of the larynx can cause functional problems and, as a result, it can negatively affect the voice production to result in voice disorders. It is widely known that voice disorder has a very high reoccurrence rate. A Lyberg-Åhlander et al. 2 evaluated the voice disorders in Sweden and reported that 16.9% of adults (≥18 years old) experienced a voice disorder. Moreover, it was found that 21.9% of adults in the US also experienced a voice disorder in their lifetime 3 . Also, 73.3% of them suffered from the voice disorder multiple times 3 . Particularly, even if voice rehabilitation (e.g., vocal hygiene) is performed after the occurrence of a voice disorder, the risk of a voice disorder reoccurrence is even higher unless the risk factor negatively affecting voice is removed. Although many studies have identified a relationship between chronic smoking and laryngeal pathology, there is still insufficient evidence of the effects of smoking on voice.Previous studies on the effects of smoking on voice health can be divided into three major groups. First, smoking has been reported as a representative risk factor of voice health 4 . For example, smoking can cause a g laryngeal disease 5 . Previous studies evaluating the effects of smoking on the larynx using rats and pigs showed that smoking directly caused the anatomical changes of the larynx 6,7 . Moreover, smokers had a higher risk to have a laryngeal disease than non-smokers 4,5 . It was also confirmed that persisted smoking could cause a vocal cord disease such as laryngitis, Rheinke's edema, and ...

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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Evaluating the effects of smoking on the voice and subjective voice problems using a meta-analysis approach

Byeon

Cha

2020

Sci Rep

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“…11 Furthermore, the VHI-30 can be used to predict the occurrence of voice disorders in nonsymptomatic high-risk populations, such as smokers and professional voice users. 12,13 Other scales to assess voice disorders have been found to correlate with the VHI-30. 14,15 In 2004, a simplified 10-item version of the VHI (VHI-10) was developed; this version was found to be less time-consuming, easier to administer in a clinical setting and statistically more robust than the full scale.…”

mentioning

confidence: 99%

Association Between Voice Handicap Index and Reflux Symptom Index: A cross-sectional study of undiagnosed general and teacher cohorts in Saudi Arabia

Alanazi

Alrahim

Bayounos

et al. 2018

Sultan Qaboos Univ Med J

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Objectives: This study aimed to assess potential associations between self-reported symptoms of laryngopharyngeal reflux (LPR) and voice disorders among two undiagnosed cohorts in Saudi Arabia. Methods: This cross-sectional study was conducted from February to April 2017 in Khobar, Saudi Arabia. Validated Arabic versions of the Reflux Symptom Index (RSI) and 10-item Voice Handicap Index (VHI-10) were distributed to 400 teachers at 13 schools and 300 members of the general population attending an ear, nose and throat clinic in Khobar. Scores of >13 and >11 on the RSI and VHI-10 indicated a potential subjective diagnosis of LPR and voice disorders, respectively. Results: A total of 446 individuals took part in the study, including 260 members of the general population (response rate: 86.7%) and 186 teachers (response rate: 46.5%). The mean age was 32.5 years. In total, 62.2% complained of voice and/or reflux problems, with the remaining 37.8% not reporting/unaware of any problems in this regard. Among the teachers, 30.6% and 18.3% had positive RSI and VHI-10 scores, respectively, while 43.1% and 14.6% of the individuals from the general population had positive RSI and VHI-10 scores, respectively. Overall, VHI-10 scores were significantly associated with RSI scores (P <0.001). Conclusion: A significant association between RSI and VHI-10 scores suggests that there may be an association between LPR and voice disorders. These tools would therefore be a valuable method of monitoring patients; however, they cannot be used to confirm a diagnosis. Thus, more detailed studies are needed to confirm this association using a larger sample size.Keywords: Voice Disorders; Laryngopharyngeal Reflux; Hoarseness; Diagnostic Self Evaluation; School Teachers; Saudi Arabia.

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“…Finally, is interestingly enough that the above studies computed only cut-off points for VHI-T and not for the rest of its domain (VHI-F, VHI-P, VHI-E) which has a good diagnostic value as it was underlined in former studies [52] [53]. Additionally, to the above, only Karlsen et al [29] underlined that VHI-F seemed to score accurately as a diagnostic discrimination between dysphonic and non-dysphonic condition in their study and this result is in agreement to this research.…”

Section: Discussionmentioning

confidence: 88%

A Preliminary Receiver Operating Characteristic Analysis on Voice Handicap Index Results of the Greek Voice-Disordered Patients

Tafiadis¹,

Kosma²,

Chronopoulos³

et al. 2018

IJOHNS

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Objective(s): The cutting-edge assessment of voice disorders includes objective and subjective methods in the daily clinical practice. The latter assessment is usually performed through the administration of self-reported questionnaires. Voice Handicap Index (VHI) is one of the most widely used tools both in clinical practice and in research level. This tool-questionnaire was employed in this research along with the Voice Evaluation Template (VEF). In turn, the aim of this study was to analyse and produce the cutoff points of VHI for voice-disordered patients in Greece by using Receiver Operating Characteristic Curves (ROC Curves). Methods: Sixty-three participants (40 non-dysphonic and 23 with different types of dysphonia) were classified by ENT (Ear, Nose, and Throat) doctors and SLPs (Speech-Language Pathologists). The Hellenic VHI along with the translated Greek version of the VEF was administered to the subjects of this research. Results: The voice-disordered subjects exhibited higher overall VHI scores (in total and in its 3 subdomains) compared to the control group. Statistical significant differences were found between dysphonic and non-dysphonic participants for all VHI's construct domains. The cutoff point of VHI total score was estimated at the value of 14.50 (sensitivity: 0.870, 1-specificity: 0.000). Moreover, the cutoff points of the three subdomains were computed as 7.

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Voice Handicap Index and Interpretation of the Cutoff Points Using Receiver Operating Characteristic Curve as Screening for Young Adult Female Smokers

Cited by 22 publications

References 57 publications

Evaluating the effects of smoking on the voice and subjective voice problems using a meta-analysis approach

Evaluating the effects of smoking on the voice and subjective voice problems using a meta-analysis approach

Association Between Voice Handicap Index and Reflux Symptom Index: A cross-sectional study of undiagnosed general and teacher cohorts in Saudi Arabia

A Preliminary Receiver Operating Characteristic Analysis on Voice Handicap Index Results of the Greek Voice-Disordered Patients

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