Prevalence of phonatory symptoms in patients with type 2 diabetes mellitus

The Application of Voice Biomarkers in Frailty: A Scoping Review

BACKGROUND

With an increasing prevalence of frailty among older adults, effective classification and management strategies for frailty have become imperative. Voice biomarkers, offering insights into the overall health status of older adults, hold promise for enhancing the management of this multifaceted geriatric syndrome.

OBJECTIVES

This scoping review aims to consolidate existing knowledge regarding the relationship between frailty and voice biomarkers.

METHODS

A systematic search was conducted following the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews guidelines across multiple databases: PubMed, Embase, Proquest, Scopus, and Web of Science. The results were synthesized through information extraction and are presented in tables.

RESULTS

A total of 11 studies met the inclusion criteria. The majority (63.6%) employed a cross-sectional design. Voice biomarkers encompassed acoustic parameters, such as the peak/average volume ratio, and linguistic parameters, such as verbal fluency. Nine articles reported significant associations between frailty and acoustic parameters. Three articles included linguistic parameters in their analyses. Only one demonstrated associations between frailty and both acoustic and linguistic parameters.

CONCLUSION

Despite the relatively small sample sizes in the included studies, the findings underscore a significant connection between voice biomarkers and frailty among older adults, suggesting the potential utility of vocal characteristics as non-invasive indicators for identifying and managing frailty. Integrating voice biomarkers into routine geriatric assessments could substantially improve the precision and efficiency of frailty management, facilitating personalized healthcare interventions tailored to the needs of older adults.

A voice-based algorithm can predict type 2 diabetes status in USA adults: Findings from the Colive Voice study

The pressing need to reduce undiagnosed type 2 diabetes (T2D) globally calls for innovative screening approaches. This study investigates the potential of using a voice-based algorithm to predict T2D status in adults, as the first step towards developing a non-invasive and scalable screening method. We analyzed pre-specified text recordings from 607 US participants from the Colive Voice study registered on ClinicalTrials.gov (NCT04848623). Using hybrid BYOL-S/CvT embeddings, we constructed gender-specific algorithms to predict T2D status, evaluated through cross-validation based on accuracy, specificity, sensitivity, and Area Under the Curve (AUC). The best models were stratified by key factors such as age, BMI, and hypertension, and compared to the American Diabetes Association (ADA) score for T2D risk assessment using Bland-Altman analysis. The voice-based algorithms demonstrated good predictive capacity (AUC = 75% for males, 71% for females), correctly predicting 71% of male and 66% of female T2D cases. Performance improved in females aged 60 years or older (AUC = 74%) and individuals with hypertension (AUC = 75%), with an overall agreement above 93% with the ADA risk score. Our findings suggest that voice-based algorithms could serve as a more accessible, cost-effective, and noninvasive screening tool for T2D. While these results are promising, further validation is needed, particularly for early-stage T2D cases and more diverse populations.

Association between obstructive sleep apnea and risk of Benign vocal fold lesions: A nationwide 9-year follow-up cohort study

Since obstructive sleep apnea (OSA) affects various parts of the body, there has been little interest about the effect of OSA on voice. The objective of this study was to evaluate the risk of benign vocal fold lesions (BVFL) in OSA patients. This study used data from the National Health Insurance Service (NHIS) database. The study group was defined as the group diagnosed with OSA between 2008 and 2011. Non-OSA groups were selected based on propensity score (PS) matching. Incidence of BVFL among participants during the follow-up was analyzed. Cox proportional hazard regression analyses were performed to evaluate the association between OSA and incident BVFL. The HR value of the OSA group calculated by considering 8 variables indicates that the risk of developing BVFL is 79% higher than that of the control group. Further, among OSA patients, patients with a history of OP had a 35% lower risk of developing BVFL. The relationships between BVFL and 7 individual variables considered were as follows: For age, HR for the 40 to 59 years group was 1.20 (95%CI, 1.09-1.32). For sex, the HR in the female group was 1.22 (95%CI, 1.10-1.35). For residential areas, the HR values for "Seoul" 1.39 (95%CI, 1.23-1.59). In the high economic status group, the HR was 1.10 (95%CI, 1.01-1.21). This observational study indicated that OSA is associated with an increased incidence of BVFL. The incidence of BVFL increased with older age, female sex, and high SES.

Exploring the impact of type II diabetes mellitus on voice quality

PURPOSE

This cross-sectional study aimed to investigate the potential of voice analysis as a prescreening tool for type II diabetes mellitus (T2DM) by examining the differences in voice recordings between non-diabetic and T2DM participants.

METHODS

60 participants diagnosed as non-diabetic (n = 30) or T2DM (n = 30) were recruited on the basis of specific inclusion and exclusion criteria in Iran between February 2020 and September 2023. Participants were matched according to their year of birth and then placed into six age categories. Using the WhatsApp application, participants recorded the translated versions of speech elicitation tasks. Seven acoustic features [fundamental frequency, jitter, shimmer, harmonic-to-noise ratio (HNR), cepstral peak prominence (CPP), voice onset time (VOT), and formant (F1-F2)] were extracted from each recording and analyzed using Praat software. Data was analyzed with Kolmogorov-Smirnov, two-way ANOVA, post hoc Tukey, binary logistic regression, and student t tests.

RESULTS

The comparison between groups showed significant differences in fundamental frequency, jitter, shimmer, CPP, and HNR (p < 0.05), while there were no significant differences in formant and VOT (p > 0.05). Binary logistic regression showed that shimmer was the most significant predictor of the disease group. There was also a significant difference between diabetes status and age, in the case of CPP.

CONCLUSIONS

Participants with type II diabetes exhibited significant vocal variations compared to non-diabetic controls.

Acoustic Analysis and Prediction of Type 2 Diabetes Mellitus Using Smartphone-Recorded Voice Segments

Objective

To investigate the potential of voice analysis as a prescreening or monitoring tool for type 2 diabetes mellitus (T2DM) by examining the differences in voice recordings between nondiabetic and T2DM individuals.

Patients and Methods

Total 267 participants diagnosed as nondiabetic (79 women and 113 men) or T2DM (18 women and 57 men) on the basis of American Diabetes Association guidelines were recruited in India between August 30, 2021 and June 30, 2022. Using a smartphone application, participants recorded a fixed phrase up to 6 times daily for 2 weeks, resulting in 18,465 recordings. Fourteen acoustic features were extracted from each recording to analyze differences between nondiabetic and T2DM individuals and create a prediction methodology for T2DM status.

Results

Significant differences were found between voice recordings of nondiabetic and T2DM men and women, both in the entire dataset and in an age-matched and body mass index (BMI [calculated as the weight in kilograms divided by the height in meters squared])-matched sample. The highest predictive accuracy was achieved by pitch (P<.0001), pitch SD (P<.0001), and relative average pertubation jitter (P=.02) for women, and intensity (P<.0001) and 11-point amplitude perturbation quotient shimmer (apq11, P<0.0001) for men. Incorporating these features with age and BMI, the optimal prediction models achieved accuracies of 0.75±0.22 for women and 0.70±0.10 for men through 5-fold cross-validation in the age-matched and BMI-matched sample.

Conclusion

Overall, vocal changes occur in individuals with T2DM compared with those without T2DM. Voice analysis shows potential as a prescreening or monitoring tool for T2DM, particularly when combined with other risk factors associated with the condition.

Trial Registration

clinicaltrials.gov Identifier: CTRI/2021/08/035957.

Effect of Diabetes Mellitus Type 2 on Voice: A Systematic Review and Meta-Analysis

INTRODUCTION

Diabetes mellitus type 2 is a growing health concern that affects several systems in the body, among which is the phonatory apparatus. Voice may be affected in view of the high prevalence of myopathy and neuropathy in diseased subjects. The authors aimed to answer the following question: does type 2 diabetes have an effect on voice?

METHODS

The systematic review included search terms such as "speech, voice, larynx, glucose, diabetes, and hyperglycemia." The search strategy yielded 221 articles, only five of which satisfied the inclusion criteria. Articles were considered for inclusion using the PRISMA method. Analysis included 321 patients with type 2 diabetes mellitus and 171 controls. All studies included were case-control studies except for one study which was an observational cohort. Six parameters were chosen as endpoints for the systematic review and meta-analysis: the presence/absence of voice complaints, fundamental frequency, jitter, shimmer, noise-to-harmonic ratio, and maximum phonation time.

RESULTS

There was no significant difference in the prevalence of voice complaints (i.e., hoarseness) between diabetic patients and control groups. There was also no significant difference in any of the acoustic and aerodynamic measures between patients with type 2 diabetes and controls. These findings can be ascribed to the high resilience of the laryngeal muscles to the adverse effect of systemic diseases.

CONCLUSION

There is no consensus in the literature that the prevalence of voice symptoms in diabetic patients is significantly higher than that reported in healthy subjects.

Identifying Medications Underlying Communication Atypicalities in Psychotic and Affective Disorders: A Pharmacovigilance Study Within the FDA Adverse Event Reporting System

PURPOSE

Communication atypicalities are considered promising markers of a broad range of clinical conditions. However, little is known about the mechanisms and confounders underlying them. Medications might have a crucial, relatively unknown role both as potential confounders and offering an insight on the mechanisms at work. The integration of regulatory documents with disproportionality analyses provides a more comprehensive picture to account for in future investigations of communication-related markers. The aim of this study was to identify a list of drugs potentially associated with communicative atypicalities within psychotic and affective disorders.

METHOD

We developed a query using the Medical Dictionary for Regulatory Activities to search for communicative atypicalities within the FDA Adverse Event Reporting System (updated June 2021). A Bonferroni-corrected disproportionality analysis (reporting odds ratio) was separately performed on spontaneous reports involving psychotic, affective, and non-neuropsychiatric disorders, to account for the confounding role of different underlying conditions. Drug-adverse event associations not already reported in the Side Effect Resource database of labeled adverse drug reactions (unexpected) were subjected to further robustness analyses to account for expected biases.

RESULTS

A list of 291 expected and 91 unexpected potential confounding medications was identified, including drugs that may irritate (inhalants) or desiccate (anticholinergics) the larynx, impair speech motor control (antipsychotics), or induce nodules (acitretin) or necrosis (vascular endothelial growth factor receptor inhibitors) on vocal cords; sedatives and stimulants; neurotoxic agents (anti-infectives); and agents acting on neurotransmitter pathways (dopamine agonists).

CONCLUSIONS

We provide a list of medications to account for in future studies of communication-related markers in affective and psychotic disorders. The current test case illustrates rigorous procedures for digital phenotyping, and the methodological tools implemented for large-scale disproportionality analyses can be considered a road map for investigations of communication-related markers in other clinical populations.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.23721345.

The effect of type 1 diabetes mellitus on voice in pediatric patients

PURPOSE

The aim of this prospective case-control study was to determine the effect on the voice of type 1 diabetes mellitus (T1DM) in paediatric patients.

MATERIALS AND METHODS

The study included patients aged 6-18 years followed up for at least 1 year because of T1DM, and a control group of age and gender-matched healthy volunteers. Following an Ear, Nose, and Throat (ENT) examination, all subjects underwent flexible endoscopic laryngeal examination. Fasting venous blood samples were taken in the morning for the examination of fasting blood glucose (FBG), HgbA1C, and kidney, liver, and thyroid function tests. Data were recorded from the patient files of age, gender, comorbidities, and the development of diabetes-related complications. Voice recordings were taken and the Voice Handicap Index (VHI)-10 form was completed. The patients and control group were compared in respect of the parameters of fundamental frequency, jitter, shimmer, and acoustic voice quality index (AVQI).

RESULTS

Evaluation was made of 64 children and adolescents as 32 in the patient group (Group 1) and 32 healthy control subjects (Group 2). Group 1 comprised 17 females and 15 males with a mean age of 12.75 ± 3.23 years. Group 2 comprised 17 females and 15 males with a mean age of 12.75 ± 3.33 years. In Group 1, mean disease duration was 5.21 ± 3.17 years (range, 1-13 years), the FBG value was mean 216.6 ± 122.3 mg/dl, mean HgbA1c was 10.7 ± 2.8, as ≤ 7 in 4 patients, 7-9 in 4, and > 9 in 24. Maximum phonation time (MPT) was determined as 10.66 ± 3.6 secs in Group 1 and 12.11 ± 4.43 in Group 2. VHI was determined as 2.33 ± 3 in Group 1 and 2.31 ± 2.77 in Group 2. No statistically significant difference was determined between the groups was determined in respect of acoustic analysis, perturbation parameters, AVQI and body mass index.

CONCLUSIONS

This study is the first to have investigated the effects of T1DM on the voice in paediatric patients. The study results showed that the AVQI value was higher in the patient group but not to a statistically significant level. Therefore, there is a need for further studies with larger samples. The current study can be of guidance for further studies in this field.

Speech biomarkers of risk factors for vascular dementia in people with mild cognitive impairment

Introduction

In this study we intend to use speech analysis to analyze the cognitive impairments caused by pathologies of vascular origin such as diabetes, hypertension, hypercholesterolemia and heart disease, predictors of the development of vascular dementia.

Methods

In this study, 40 participants with mild cognitive impairment were asked to read while being recorded and they were inquired about their history of the aforementioned conditions. Their speech was then analyzed.

Results

We found that some speech parameters of frequencies and syllabic rhythm vary due to these pathologies. In addition, we conducted a discriminant analysis in which we found that diabetes and hypertension can be predicted with an accuracy over 95% with few speech parameters, and hypercholesterolemia and heart disease with an accuracy over 80%.

Discussion

The predictor parameters found are heterogeneous, including voice quality, amplitude, frequency, and rhythm parameters. This result may lead to investigate why such important qualitative changes occur in the voice of older adults with these pathologies. Rather than trying to find a diagnostic procedure already existing in classical medicine, we expect this finding to contribute to explore the causes and concomitant pathologies of these diseases. We discuss the implications of behavioral traits, such as speech, as digital biomarkers.

Voice changes in reproductive disorders, thyroid disorders and diabetes: a review

The subject of vocal changes accompanying pathological conditions, although still not well explored, seems to be promising. The discovery of laryngeal receptors for sex hormones and thyroid hormones can strongly support the hypothesis of changes in voice due to various endocrinopathies. On the other hand, the impairment of the proper function of the vocal apparatus can also be caused in the process of the microvasculature complications of diabetes mellitus. This review was a comprehensive summary of the accessible literature concerning the influence of selected endocrinopathies on subjective and objective voice parameters. We analysed a total number of 16 English-language research papers from the PubMed database, released between 2008 and 2021, describing vocal changes in reproductive disorders such as polycystic ovary syndrome and congenital adrenal hyperplasia, thyroid disorders in shape of hypo- or hyperthyroidism and type 2 diabetes mellitus. The vast majority of the analysed articles proved some changes in voice in all mentioned conditions, although the detailed affected vocal parameters frequently differed between research. We assume that the main cause of the observed conflicting results might stem from non-homogeneous methodology designs of the analysed studies.

Scoping review of the relationship between diabetes and voice quality

AIMS

The objective of this scoping review is to synthesize all of the known information about the relationship between diabetes mellitus and voice quality and to explore its potential applications for new technology.

METHODS

We conducted a scoping literature review of articles published between March 2000 and September 2021 using the following databases: PubMed, Web of Science, Scopus, and Embase. Additionally, we did a manual search of Google Scholar. The search strategy abides by the PRISMA-ScR guidelines. Studies pertaining to the relationship between diabetes and the voice were categorized separately for further evaluation.

RESULTS

Out of the 2732 originally identified articles, nine were ultimately included in this scoping review. The chosen articles address both diabetes and its impact on a variety of vocal parameters.

CONCLUSIONS

There is currently very little research investigating the relationship between diabetes, neuropathy, and phonatory symptoms. Additionally, existing publications contain some contradictory findings. Further research that incorporates imaging technology is needed to clarify the physiological explanations for the differences observed between healthy individuals and those with diabetes mellitus. Such information can be used to develop noninvasive technology for diabetes diagnosis and monitoring.

[Optimization of an integrated approach to voice correction for endocrinopathies (analytical review)]

Dysphonia is a symptom of many endocrine pathologies. Hoarseness, voice fatigue, decrease of the voice pitch, reduce of the range are typical complaints for hypothyroidism, caused by an increased amount of polysaccharides and accumulation of fluid in the lamina propria of the vocal folds. An excess of growth hormone causes an overproduction of insulin-like growth factor-1, which leads to abnormalities in the craniofacial region and proliferation of the upper respiratory tract tissues, including thickening of the laryngeal cartilages, vocal folds and decreasing of the voice pitch. Hyperglycemia, changes in the balance of fluid and electrolytes in diabetes mellitus can indirectly affect the voice: xerostomia complicates phonation due to impaired hydration of the laryngeal mucosa, diabetic neuropathy often disrupts the work of the laryngeal muscles involved in voice formation. Voice changes are observed not only in endocrine disorders, but also during puberty, the phases of the menstrual cycle and during menopause. Laryngeal structures are modified under the influence of hormones and external factors, which generally changes pitch and intensity of the voice, timbre and resonance, articulation and prosodic characteristics. The purpose of this review is to summarize and systematize data on physiological and pathological voice changes in patients of different age groups and sex. The possibilities of a multidisciplinary approach to rational voice correction are demonstrated.

Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results

COVID-19 heavily affects breathing and voice and causes symptoms that make patients' voices distinctive, creating recognizable audio signatures. Initial studies have already suggested the potential of using voice as a screening solution. In this article we present a dataset of voice, cough and breathing audio recordings collected from individuals infected by SARS-CoV-2 virus, as well as non-infected subjects via large scale crowdsourced campaign. We describe preliminary results for detection of COVID-19 from cough patterns using standard acoustic features sets, wavelet scattering features and deep audio embeddings extracted from low-level feature representations (VGGish and OpenL3). Our models achieve accuracy of 88.52%, sensitivity of 88.75% and specificity of 90.87%, confirming the applicability of audio signatures to identify COVID-19 symptoms. We furthermore provide an in-depth analysis of the most informative acoustic features and try to elucidate the mechanisms that alter the acoustic characteristics of coughs of people with COVID-19.

Disease related changes in vocal parameters of patients with type 2 diabetes mellitus

BACKGROUND

As the duration of diabetes progresses, various disease related complications might occur in patients. The main goal of this paper is to compare acoustic and aerodynamic measures of patients with type 2 diabetes mellitus (T2DM) with a control group of healthy subjects.

METHODS

A total of 91 subjects, 51 individuals with type 2 diabetes mellitus (DM group) and 40 healthy volunteers (HV group) were participated in the study. Maximum phonation time (MPT) was captured for assessing phonatory mechanics. Acoustic voice parameters, including mean fundamental frequency (mean fo), jitter local (Jlocal), jitter absolute (Jabs), shimmer local (Slocal), shimmer decibel (SdB), and harmonics to noise ratio (HNR) were detected using the Praat software program.

RESULTS

Only for Jabs, statically significant difference was found between the groups. There were no statically significant differences between any voice parameters of HV versus those with the duration of diabetes ≥10 years and the HbA1c level ≥7%. However, statically significant differences for MPT and Slocal were found between patients with neuropathy versus HV. In addition, a comparison between patients with voice complaint versus HV showed significant differences for Slocal and SdB.

CONCLUSIONS

The findings of the present study do not provide strong evidence about the possible effect of DM on the human voice. However, diabetic neuropathy is considered to be a factor affecting the voice parameters in the target population. The physicians should pay attention to the acoustic and aerodynamic voice parameters in patients with diabetes, particularly in those with neuropathy or voice complaints.

Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice

Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which can then alter an individual's voice. Therefore, voice analysis using artificial intelligence opens new opportunities for healthcare. From using vocal biomarkers for diagnosis, risk prediction, and remote monitoring of various clinical outcomes and symptoms, we offer in this review an overview of the various applications of voice for health-related purposes. We discuss the potential of this rapidly evolving environment from a research, patient, and clinical perspective. We also discuss the key challenges to overcome in the near future for a substantial and efficient use of voice in healthcare.

Voice perturbations under the stress overload in young individuals: phenotyping and suboptimal health as predictors for cascading pathologies

Verbal communication is one of the most sophisticated human motor skills reflecting both-the mental and physical health of an individual. Voice parameters and quality changes are usually secondary towards functional and/or structural laryngological alterations under specific systemic processes, syndrome and pathologies. These include but are not restricted to dry mouth and Sicca syndromes, body dehydration, hormonal alterations linked to pubertal, menopausal, and andropausal status, respiratory disorders, gastrointestinal reflux, autoimmune diseases, endocrinologic disorders, underweight versus overweight and obesity, and diabetes mellitus. On the other hand, it is well-established that stress overload is a significant risk factor of cascading pathologies, including but not restricted to neurodegenerative and psychiatric disorders, diabetes mellitus, cardiovascular disease, stroke, and cancers. Our current study revealed voice perturbations under the stress overload as a potentially useful biomarker to identify individuals in suboptimal health conditions who might be strongly predisposed to associated pathologies. Contextually, extended surveys applied in the population might be useful to identify, for example, persons at high risk for respiratory complications under pandemic conditions such as COVID-19. Symptoms of dry mouth syndrome, disturbed microcirculation, altered sense regulation, shifted circadian rhythm, and low BMI were positively associated with voice perturbations under the stress overload. Their functional interrelationships and relevance for cascading associated pathologies are presented in the article. Automated analysis of voice recordings via artificial intelligence (AI) has a potential to derive digital biomarkers. Further, predictive machine learning models should be developed that allows for detecting a suboptimal health condition based on voice recordings, ideally in an automated manner using derived digital biomarkers. Follow-up stratification and monitoring of individuals in suboptimal health conditions are recommended using disease-specific cell-free nucleic acids (ccfDNA, ctDNA, mtDNA, miRNA) combined with metabolic patterns detected in body fluids. Application of the cost-effective targeted prevention within the phase of reversible health damage is recommended based on the individualised patient profiling.

Fiberoptic Endoscopic Evaluation of Swallowing in Patients with Type 2 Diabetes Who Have Self-Reported Swallowing Difficulties

INTRODUCTION

People with diabetes frequently have gastrointestinal problems and related deglutition disorders.

OBJECTIVE

The aims of the present study are to determine the symptomatic swallowing complaints and to evaluate the functionality of oropharyngeal swallowing in patients with type 2 diabetes mellitus (T2DM) by using the Turkish Eating Assessment Tool-10 (T-EAT-10) and fiberoptic endoscopic evaluation of swallowing (FEES).

METHODS

In this descriptive cross-sectional study, the T-EAT-10 questionnaire was completed by 121 patients with diabetes, and FEES was planned for each individual whose baseline score of the T-EAT-10 was ≥3. Before swallowing trials via samples of nectar-thick consistency, laryngeal sensation and severity of secretion in the hypopharynx were observed. While the swallowing safety was determined using the Penetration-Aspiration Scale (PAS), the Yale Pharyngeal Residue Severity Rating Scale was used to assess the swallowing efficiency.

RESULTS

Of the total participants, 22.3% (n = 27) were found to have abnormal swallowing function (T-EAT-10 ≥3), 27.3% (n = 33) had concomitant neuropathy and 28.1% (n = 34) mentioned a reflux complaint. The results of the multivariate linear regression analysis exposed that the T-EAT-10 score was significantly associated with neuropathy (r = 3.763, p < 0.001) and reflux complaint (r = 2.254, p = 0.031). Of the total FEES-tested subjects (n = 20), 95% (n = 19) had a safe swallowing function (PAS = 1). However, diminished laryngeal sensation, increased secretion and presence of residue revealed that patients with T2DM who have self-reported swallowing difficulties have reduced swallowing efficiency.

CONCLUSIONS

This study has demonstrated that almost 1 out of 4 T2DM patients reported to have swallowing-related problems, and the score of the T-EAT-10 was found to be independently associated with both neuropathy and reflux complaint. FEES results pointed out that swallowing efficiency was relatively reduced in the target population. However, further research is still necessary before obtaining a definitive answer to oropharyngeal swallowing problems in patients with T2DM.

Voice disorders and associated risk markers among young adults in the United States

OBJECTIVES/HYPOTHESIS

To examine the prevalence of voice disorders in young adults and identify sociodemographic factors, health conditions, and behaviors associated with voice disorder prevalence.

STUDY DESIGN

Cross-sectional analysis of data from the National Longitudinal Study of Adolescent to Adult Health.

METHODS

During home interviews, 14,794 young adults, aged 24 to 34 years, reported their health conditions and behaviors. Presence and duration of voice disorders were reported over the past 12 months. We computed overall and stratified prevalence estimates by age, gender, race/ethnicity, medical conditions, smoking, and alcohol use. Multiple logistic regression was used to identify independent risk factors for a voice disorder while accounting for the complex sample design.

RESULTS

Six percent of participants reported a voice disorder lasting at least 3 days. Females had 56% greater odds of voice disorders than males. Number of days drinking alcohol was associated with voice disorders, but number of smoking days was not. Conditions that increased the likelihood of voice disorders included hypertension (OR = 1.42 [95% confidence interval {CI}: 1.07-1.89]), tinnitus (OR = 1.53 [95% CI: 1.06-2.20]), and anxiety/panic disorder (OR = 1.26 [95% CI: 1.00-1.60]). Results were independent of gender, alcohol consumption, upper respiratory symptoms, and lower respiratory conditions including asthma, bronchitis/emphysema, and gastrointestinal symptoms (diarrhea/nausea/vomiting).

CONCLUSIONS

Voice disorders in young adulthood were associated with hypertension, tinnitus, and anxiety. Greater awareness of these relationships may facilitate voice evaluation among people who seek healthcare for these chronic conditions.

LEVEL OF EVIDENCE

2b Laryngoscope, 127:2093-2099, 2017.