Using Receiver Operating Characteristic Curve to Define the Cutoff Points of Voice Handicap Index Applied to Young Adult Male Smokers

Tafiadis, Dionysios; Chronopoulos, Spyridon K.; Kosma, Evangelia I.; Voniati, Louiza; Raptis, Vasilis; Siafaka, Vassiliki; Ziavra, Nafsika

doi:10.1016/j.jvoice.2017.06.007

Cited by 19 publications

(15 citation statements)

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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 .…”

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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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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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“…From a practical point of view, in the future, the proposed algorithm can be implemented in satellite communications as well as a system of using reconfigurable antennas and other emerging wireless technologies for finding more accurately targets [46][47][48][49]. In addition, the findings in this paper can be implemented in other scientific fields using the tracking technique to find a better cutoff point even using ROC analysis [50]. Future work will also concentrate on the problem of the optimal radar sensor scheduling to improve the LPI performance in DRNS.…”

Section: Resultsmentioning

confidence: 99%

Novel Power Control Scheme for Target Tracking in Radar Network with Passive Cooperation

Tan¹,

Shi²,

Zhou³

2018

RADIOENGINEERING

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“…Thereinafter, the ROC curve methodology was adapted by medical sciences to evaluate the discrimination ability of an assessment tool between typical population and subjects exhibiting pathology [50]. Over the last few years, self-perceived questionnaires' cut-off points are calculated for people with voice disorders [45] [46] [47] and particularly from VHI results [43] [44] [51] [52] [53].…”

Section: Introductionmentioning

confidence: 99%

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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Using Receiver Operating Characteristic Curve to Define the Cutoff Points of Voice Handicap Index Applied to Young Adult Male Smokers

Cited by 19 publications

References 50 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

Novel Power Control Scheme for Target Tracking in Radar Network with Passive Cooperation

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

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