Dillard Lauren K, Humes Larry E, Matthews Lois J, Dubno Judy R
Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston.
Department of Speech, Language and Hearing Sciences, Indiana University, Bloomington.
JAMA Otolaryngol Head Neck Surg. 2025 Mar 1;151(3):228-235. doi: 10.1001/jamaoto.2024.4768.
Noise exposure is a major modifiable risk factor for hearing loss, yet it is not known whether it affects the rate of hearing decline in aging.
To determine the association of noise exposure history with the rate of pure-tone threshold change per year.
DESIGN, SETTING, AND PARTICIPANTS: This longitudinal cohort study was conducted in the ongoing community-based Medical University of South Carolina Longitudinal Cohort Study of Age-Related Hearing Loss (1988 to present with the sample based in Charleston, South Carolina, and surrounding area). Following a comprehensive baseline examination, participants attended annual examinations, during which audiometric data were collected. Participants with audiometric data from at least 2 examinations and noise exposure history data were included in the study. Data were analyzed between September 2023 and July 2024.
Noise exposure history, determined by a self-reported questionnaire and history of military service, was categorized as no/little, some, or high exposure.
Outcome measures were individual audiometric thresholds (0.25 kHz to 8.0 kHz) and pure-tone average (PTA) of thresholds at frequencies 0.5 kHz, 1.0 kHz, 2.0 kHz, and 4.0 kHz, averaged bilaterally. Linear mixed regression models were used to estimate the association of age (per every 1 additional year) with the rate of threshold change at each frequency and PTA, for each noise exposure category. The association of noise exposure with the rate of annual threshold change was determined by an interaction term of age (longitudinal time variable) and noise exposure in regression models.
Of 1347 participants, the mean (SD) baseline age was 63 (14) years, and 772 (57%) were female. The mean (SD) follow-up time was 5.1 (5.7) years. Compared to the no/little noise exposure group, groups with some and high noise exposure had significantly higher baseline thresholds from 2.0 kHz to 8.0 kHz and PTA, and 1.0 kHz to 8.0 kHz and PTA, respectively. Those with high noise exposure (vs no/little) showed higher rates of threshold change per year at 1.0 kHz and 2.0 kHz. Participants with some and high noise exposure showed lower rates of change per year at 3.0 kHz to 8.0 kHz and 4.0 kHz to 8.0 kHz, respectively, where hearing loss had already occurred. The rate of PTA change per year did not differ across noise exposure groups.
In this cohort study, noise exposure was associated with poorer baseline hearing and higher rates of annual decline at some midfrequencies. Noise exposure can have immediate and potentially long-term negative impacts on hearing.
噪声暴露是听力损失的一个主要可改变风险因素,但尚不清楚它是否会影响衰老过程中的听力下降速度。
确定噪声暴露史与每年纯音阈值变化率之间的关联。
设计、地点和参与者:这项纵向队列研究是在南卡罗来纳医科大学正在进行的基于社区的年龄相关性听力损失纵向队列研究中进行的(1988年至今,样本来自南卡罗来纳州查尔斯顿及其周边地区)。在进行全面的基线检查后,参与者每年接受检查,在此期间收集听力数据。纳入研究的参与者需有至少两次检查的听力数据和噪声暴露史数据。数据于2023年9月至2024年7月进行分析。
通过自我报告问卷和军事服役史确定的噪声暴露史被分为无/低、中、高暴露三类。
结局指标为个体听力阈值(0.25千赫兹至8.0千赫兹)以及0.5千赫兹、1.0千赫兹、2.0千赫兹和4.0千赫兹频率处阈值的双侧平均纯音平均值(PTA)。使用线性混合回归模型估计每个噪声暴露类别中年龄(每增加1岁)与每个频率和PTA处阈值变化率之间的关联。通过回归模型中年龄(纵向时间变量)和噪声暴露的交互项来确定噪声暴露与年度阈值变化率之间的关联。
在1347名参与者中,平均(标准差)基线年龄为63(14)岁,772名(57%)为女性。平均(标准差)随访时间为5.1(5.7)年。与无/低噪声暴露组相比,中、高噪声暴露组在2.0千赫兹至8.0千赫兹以及PTA方面,以及1.0千赫兹至8.0千赫兹以及PTA方面的基线阈值显著更高。高噪声暴露者(与无/低暴露者相比)在1.0千赫兹和2.0千赫兹处每年的阈值变化率更高。中、高噪声暴露的参与者在3.0千赫兹至8.0千赫兹以及4.0千赫兹至8.0千赫兹处每年的变化率较低,这些频率处已经出现了听力损失。不同噪声暴露组之间每年的PTA变化率没有差异。
在这项队列研究中,噪声暴露与较差的基线听力以及某些中频处较高的年度下降率相关。噪声暴露会对听力产生即时且可能长期的负面影响。