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.
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http://dx.doi.org/10.1016/j.jvoice.2024.12.029 | DOI Listing |
J Voice
January 2025
School of Nursing, Peking University, Beijing 100191, China. Electronic address:
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.
JMIR Med Inform
January 2025
Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Background: The two most commonly used methods to identify frailty are the frailty phenotype and the frailty index. However, both methods have limitations in clinical application. In addition, methods for measuring frailty have not yet been standardized.
View Article and Find Full Text PDFJ Voice
January 2025
Department of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium; Division of Laryngology and Bronchoesophagology, Department of Otolaryngology Head Neck Surgery, EpiCURA Hospital, Baudour, Belgium; Department of Otolaryngology-Head and Neck Surgery, Foch Hospital, School of Medicine, UFR Simone Veil, Université Versailles Saint-Quentin-en-Yvelines (Paris Saclay University), Paris, France; Department of Otolaryngology, Elsan Hospital, Paris, France. Electronic address:
Background: Voice analysis has emerged as a potential biomarker for mood state detection and monitoring in bipolar disorder (BD). The systematic review aimed to summarize the evidence for voice analysis applications in BD, examining (1) the predictive validity of voice quality outcomes for mood state detection, and (2) the correlation between voice parameters and clinical symptom scales.
Methods: A PubMed, Scopus, and Cochrane Library search was carried out by two investigators for publications investigating voice quality in BD according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements.
Ann Fam Med
January 2025
Departments of Psychiatry and Emergency Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Purpose: Mental health screening is recommended by the US Preventive Services Task Force for all patients in areas where treatment options are available. Still, it is estimated that only 4% of primary care patients are screened for depression. The goal of this study was to evaluate the efficacy of machine learning technology (Kintsugi Voice, v1, Kintsugi Mindful Wellness, Inc) to detect and analyze voice biomarkers consistent with moderate to severe depression, potentially allowing for greater compliance with this critical primary care public health need.
View Article and Find Full Text PDFHealthcare (Basel)
January 2025
Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo (USP), São Paulo 05508-220, SP, Brazil.
Background/objectives: The aim of this paper was to compare voice and speech characteristics between post-COVID-19 and control subjects. The hypothesis was that acoustic parameters of voice and speech may differentiate subjects infected by COVID-19 from control subjects. Additionally, we expected to observe the persistence of symptoms in women.
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