Maxfield Lynn, Lowe Darla, Cantor-Cutiva Lady Catherine, Hunter Eric J
Utah Center for Vocology, University of Utah, Salt Lake City, Utah, USA.
Utah Center for Vocology, University of Utah, Salt Lake City, Utah, USA.
J Voice. 2024 Oct 11. doi: 10.1016/j.jvoice.2024.09.023.
Previous research has examined the correlation between certain personality traits and specific voice disorders. These studies indicated that a predictive relationship exists between an individual's personality and their likelihood of experiencing certain types of voice disorders. The personality type classified as "extravert" was most commonly correlated with voice problems associated with high vocal use such as inflammation or nodules.
The purpose of this study was to determine if a relationship exists between self-reported vocal fatigue, demographic characteristics, such as assigned sex at birth and age, perception of current voice condition, aerodynamic measures, and voice acoustic parameters with any of the five personality traits measured by the Big Five Personality Index: Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. We hypothesized that vocal fatigue scores and spirometry measurements may be good predictors of specific personality traits, and therefore, can be useful measures to complement vocal assessment.
Participants in this cross-sectional correlational study included 73 full-time elementary and middle school teachers. Participants completed the Vocal Fatigue Index (VFI) and the Big Five Inventory (BFI)-10 personality index; further, microphone recordings were collected from a battery of voice tasks in addition to spirometry. Descriptive analyzes of the dependent variables (BFI personality traits) and independent variables (demographics, acoustics, spirometry, and VFI total score) were performed, calculating frequency values. Kruskal-Wallis tests were conducted to evaluate independent variables' differences across the scores of the five BFI personality traits. The association between the independent and dependent variables was then investigated using a Generalized Estimating Equations multinomial logit model. The level of significance was defined at 0.05, and the associations are expressed as betas and standard error.
The results suggest that high scores for the traits of extraversion and agreeableness were both predicted by lower scores on the VFI (P ≤ 0.05), indicating that individuals with lower perception of vocal fatigue may be more likely to be identified as extraverted and/or agreeable personalities. These results support previous study's conclusion as well as add additional insights that could be translated into screening protocols and additional supportive care of occupational voice users.
先前的研究探讨了某些人格特质与特定嗓音障碍之间的相关性。这些研究表明,个体的人格与其经历某些类型嗓音障碍的可能性之间存在预测关系。被归类为“外向型”的人格类型最常与高声使用相关的嗓音问题有关,如炎症或结节。
本研究的目的是确定自我报告的嗓音疲劳、人口统计学特征(如出生时指定的性别和年龄)、当前嗓音状况的感知、气动测量以及嗓音声学参数与通过大五人格指数测量的五种人格特质(外向性、宜人性、尽责性、神经质和开放性)中的任何一种之间是否存在关系。我们假设嗓音疲劳评分和肺活量测量可能是特定人格特质的良好预测指标,因此,可作为补充嗓音评估的有用指标。
这项横断面相关性研究的参与者包括73名全日制中小学教师。参与者完成了嗓音疲劳指数(VFI)和大五人格量表(BFI)-10人格指数;此外,除了肺活量测量外,还从一系列嗓音任务中收集了麦克风录音。对因变量(BFI人格特质)和自变量(人口统计学、声学、肺活量测量和VFI总分)进行描述性分析,计算频率值。进行Kruskal-Wallis检验以评估自变量在五个BFI人格特质得分上的差异。然后使用广义估计方程多项logit模型研究自变量和因变量之间的关联。显著性水平定义为0.05,关联以β系数和标准误差表示。
结果表明,外向性和宜人性特质的高分均由VFI得分较低预测(P≤0.05),这表明嗓音疲劳感知较低的个体可能更有可能被认定为外向型和/或宜人性人格。这些结果支持了先前研究的结论,并提供了额外的见解,可转化为职业嗓音使用者的筛查方案和额外的支持性护理。