Zhu Dylan Tianyu
Blair Academy, Blairstown, NJ, United States.
JMIR Form Res. 2022 Jun 27;6(6):e24903. doi: 10.2196/24903.
Noise-induced hearing loss (NIHL) affects millions of people despite being almost completely preventable. For recreational music listening through personal listening equipment (such as earbuds), it seems that listeners do not yet have a way to accurately assess their risk of developing hearing loss and prevent it accordingly.
The aim of this study is to analyze the perceived utility of a hypothetical device that encourages NIHL prevention based on listeners' exposure to noise and to determine the most effective methods of such encouragement. Here, we describe 3 different potential NIHL risk notification method types, as follows: auditory, external visual, and visual.
An open, web-based survey was created on Google Forms, and the link was posted to Amazon's Mechanical Turk as well as music-related Reddit communities. The survey was designed to gauge each respondent's self-assessed NIHL awareness, willingness to lower their audio if reminded, and NIHL risk notification type preference. The likelihood of a specific notification type to encourage NIHL prevention among its users was based on the average of each user's responses to 2 survey questions. Data collection started on July 13, 2020, and ended on July 17, 2020.
Of the 116 respondents, 92 (79.3%) reported having prior awareness about NIHL; however, 60 (51.7%) described doing nothing to prevent it despite 96 (82.8%) feeling a moderate, high, or extreme risk of developing NIHL. Of those who already prevented NIHL, 96% (53.5/56) described using estimates to guide their prevention instead of using data. A Kruskal-Wallis test corrected for ties showed that despite the visual NIHL risk notification type being selected by the highest number of participants (84/116, 72.4%), the auditory type had a significantly higher (H=6.848; P=.03) average percentage likelihood of encouraging NIHL prevention (62%, SD 24%) among the 40 respondents who chose it, with a median likelihood of 56% (95% CI 50%-75%). The visual type's average likelihood was 50% (SD 28.1%), with a median of 50% (95% CI 37.5%-56.3%). Regardless of the NIHL risk notification type, 69% (80/116) of respondents were not opposed to using NIHL risk notifications and lowering their audio volume accordingly.
The hypothetical device detailed here was thought to be useful because most respondents (82.8%, 96/116) felt an extreme to moderate risk of developing NIHL and such a device could provide accurate data to those who currently use estimates to prevent NIHL, and most respondents were willing to act on NIHL risk notifications. The most effective NIHL risk notification type seemed to be the auditory type, but many aspects of this study need further research to determine which implementation method should reach the public.
尽管噪声性听力损失(NIHL)几乎完全可以预防,但仍影响着数百万人。对于通过个人聆听设备(如耳塞)进行的娱乐性音乐收听,听众似乎尚无办法准确评估自己患听力损失的风险并据此加以预防。
本研究旨在分析一种基于听众噪声暴露情况鼓励预防NIHL的假想设备的感知效用,并确定此类鼓励的最有效方法。在此,我们描述3种不同的潜在NIHL风险通知方法类型,如下:听觉型、外部视觉型和视觉型。
在谷歌表单上创建了一项开放式网络调查,并将链接发布到亚马逊的土耳其机器人平台以及与音乐相关的Reddit社区。该调查旨在评估每位受访者的自我评估NIHL意识、如果收到提醒降低音频音量的意愿以及NIHL风险通知类型偏好。特定通知类型在其用户中鼓励预防NIHL的可能性基于每位用户对2个调查问题的回答平均值。数据收集于2020年7月13日开始,7月17日结束。
在116名受访者中,92人(79.3%)报告此前了解NIHL;然而,60人(51.7%)表示尽管96人(82.8%)感觉自己有中度、高度或极高的患NIHL风险,但并未采取任何预防措施。在那些已经预防NIHL的人中,96%(53.5/56)表示使用估计值来指导预防,而不是使用数据。经校正的Kruskal-Wallis检验表明,尽管视觉NIHL风险通知类型被最多的参与者(84/116,72.4%)选择,但在选择听觉类型的40名受访者中,其鼓励预防NIHL的平均可能性百分比显著更高(H = 6.848;P = 0.03)(62%,标准差24%),中位数可能性为56%(95%可信区间50% - 75%)。视觉类型的平均可能性为50%(标准差28.1%),中位数为50%(95%可信区间37.5% - 56.3%)。无论NIHL风险通知类型如何,69%(80/116)的受访者不反对使用NIHL风险通知并相应降低音频音量。
此处详细描述的假想设备被认为是有用的,因为大多数受访者(82.8%,96/116)感觉自己有极高到中度的患NIHL风险,并且这样的设备可以为那些目前使用估计值预防NIHL的人提供准确数据,而且大多数受访者愿意根据NIHL风险通知采取行动。最有效的NIHL风险通知类型似乎是听觉型,但本研究的许多方面需要进一步研究,以确定哪种实施方法应面向公众。