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Validation of a novel vocal demand task for measuring vocal fatigue

验证用于测量声音疲劳的新颖声音需求任务

基本信息

批准号：
10627859
负责人：
Christopher Sean Apfelbach
金额：
$ 2.15万
依托单位：
UNIVERSITY OF DELAWARE
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-04-01 至 2023-07-17
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10627859
关键词：
Acoustics Adoption Affect Air Air Movements American Analysis of Variance Assessment tool Bioenergetics Biological Models Biomechanics Breathing Cartilage Clinical Communication impairment Contracts Cost Analysis Crico-arytenoid joint Data Delaware Devices Diagnosis Discipline Dose Educational process of instructing Energy-Generating Resources Evaluation Exercise Exercise Physiology Exercise Test Exertion Fatigue Foundations Future Goals Hour Incidence Injury Intervention Laryngeal muscle structure Larynx Leg Liquid substance Literature Loudness Measures Mentors Methods Modality Modeling Monitor Movement Muscle Muscle Fibers Needs Assessment Occupational Oral Participant Performance Persons Phonation Physiological Physiology Predisposition Productivity Protocols documentation Public Health Reading Relaxation Religion Research Research Personnel Resistance Respiratory System Rest Risk Safety Science Scientist Secondary to Series Skeletal Muscle Speech Speed Stress System Task Performances Techniques Testing Time Training Universities Validation Voice Voice Disorders Vulnerable Populations Work adduct clinical practice common symptom cost data management design disability disability payment dynamic system improved indexing innovation instrumentation lung pressure models and simulation muscle strength neuromuscular novel novel strategies performance tests persistent symptom physiologic model pressure response strength training teacher theories therapy design two-dimensional virtual vocal cord voice therapy

项目摘要

Project Summary/Abstract Vocal fatigue is a communication disorder that disproportionately affects occupational voice users such as teachers, call center workers, and religious officials.1–3 Classically, fatigue is composed of two dimensions: perceived fatigue and decrements in task performance.4–6 Researchers in exercise science use a variety of task protocols to elicit perceived fatigue and task performance decrements in the muscle. Only one task protocol, however—loud oral reading—is prevalent in voice research.7 Loud oral reading tasks take 1-2 hours to administer7 and expose vocally vulnerable participants to large vocal fold vibratory doses8–10 that may place them at risk of injury. In the ideal, vocal demand tasks (1) take fewer than 30 minutes to administer, (2) minimize vocal fold vibratory dose, and (3) maximize the contractile demands placed on the intrinsic laryngeal skeletal muscles most susceptible to fatigue. The goal of the proposed study is to validate a vocal demand task (the Fluid Interval Test for Voice, or FIT-V) that cleaves as closely as possible to these ideals, with the goal of sparking future vocal fatigue research and detecting, diagnosing, and treating vocal fatigue prior to the point of disability. Three specific aims support this goal: (SA1) to compare changes in perceived vocal exertion between the FIT-V task protocol and two control task protocols, (SA2) to compare vocal fold distance dose between the three tasks, assessing whether the FIT-V is non-inferior to the current standard in occupational vibratory risk,10,11 and (SA3) to screen several potential indices of task performance decrement, including pressure, flow, and biomechanical measures. The proposed training plan overseen by the University of Delaware uses multiple modalities to enhance the applicant’s ability to investigate vocal fatigue and become an independent, productive research scientist. First, mentored in-person and virtual training in disciplines such as perceived exertion, bioenergetics, and neuromuscular physiology will continue to develop the applicant’s proficiency in fatigue theory and integrated physiological systems. Second, coursework in clinical exercise physiology instrumentation and paradigms of performance testing will augment the applicant’s interdisciplinary rigor and ability to import new techniques, methods, and perspectives to voice science. Third, mentored in-person training and coursework will support the applicant’s ability to use advanced statistical techniques to analyze time-series data and accurately describe intrasubject change in fatigability over time. Fourth, data management training will improve the applicant’s ability to disseminate research findings and protect participant confidentiality. Fifth and finally, mentored training and distance coursework will teach the applicant to create simulation models of physiological systems and fatigue. These training aims will give the applicant multiple avenues through which to build upon existing experimental fatigue paradigms and innovate new approaches to the study of this disabling communication disorder.

项目总结/文摘