PDF(Pubmed)
Abstract：
BACKGROUND: Hearing loss is common in aging adults and is an important public health concern. Self-reported measures of hearing difficulty are often used in research and clinical practice, as they capture the functional impacts of hearing loss on individuals. However, little research has evaluated the prevalence or factors associated with self-reported hearing difficulty. Therefore, the purpose of this study was to determine the prevalence of self-reported hearing difficulty, measured by the Revised Hearing Handicap Inventory (RHHI), and associated factors.
METHODS: This study was conducted in a community-based cohort study based in Charleston, SC. We determined the prevalence of RHHI self-reported hearing difficulty (score ≥ 6 points) and evaluated associated factors with logistic regression models. Results are presented as odds ratios (OR) with corresponding 95% confidence intervals (95% CI).
RESULTS: There were 1558 participants included in this study (mean age 63.7 [SD 14.4], 56.9% female, 20.0% Minority race). The prevalence of RHHI self-reported hearing difficulty was 48.8%. In a multivariable model, older age (per + 1 year; OR 0.97 [95% CI 0.96, 0.98]), Minority (vs. White) race (OR 0.68 [95% CI 0.49, 0.94]), and speech-in-noise scores that are better than predicted (OR 0.99 [95% CI 0.98, 1.00]) were associated with lower odds of RHHI self-reported hearing difficulty. Furthermore, female (vs. male) sex (OR 1.39 [95% CI 1.03, 1.86]), higher PTA in the worse ear (per + 1 dB; OR 1.10 [95% CI 1.09, 1.12]), more comorbid conditions (vs. 0; 1 condition: OR 1.50 [95% CI 1.07, 2.11]; 2 conditions: OR 1.96 [95% CI 1.32, 2.93]; 3 + conditions: OR 3.00 [95% CI 1.60, 5.62]), noise exposure (OR 1.54 [95% CI 1.16, 2.03]), bothersome tinnitus (OR 2.16 [95% CI 1.59, 2.93]), and more depressive symptoms (OR 1.04 [95% CI 1.01, 1.07]) were associated with higher odds of RHHI self-reported hearing difficulty.
CONCLUSIONS: The prevalence of RHHI self-reported hearing difficulty is high, and associated factors included demographics, audiometric hearing and other hearing-related factors, and physical and mental health. The RHHI likely captures functional impacts of hearing loss that are not captured by audiometry alone. Study findings can support the correct interpretation of the RHHI in research and clinical settings.
METHODS: This study was conducted in a community-based cohort study based in Charleston, SC. We determined the prevalence of RHHI self-reported hearing difficulty (score ≥ 6 points) and evaluated associated factors with logistic regression models. Results are presented as odds ratios (OR) with corresponding 95% confidence intervals (95% CI).
RESULTS: There were 1558 participants included in this study (mean age 63.7 [SD 14.4], 56.9% female, 20.0% Minority race). The prevalence of RHHI self-reported hearing difficulty was 48.8%. In a multivariable model, older age (per + 1 year; OR 0.97 [95% CI 0.96, 0.98]), Minority (vs. White) race (OR 0.68 [95% CI 0.49, 0.94]), and speech-in-noise scores that are better than predicted (OR 0.99 [95% CI 0.98, 1.00]) were associated with lower odds of RHHI self-reported hearing difficulty. Furthermore, female (vs. male) sex (OR 1.39 [95% CI 1.03, 1.86]), higher PTA in the worse ear (per + 1 dB; OR 1.10 [95% CI 1.09, 1.12]), more comorbid conditions (vs. 0; 1 condition: OR 1.50 [95% CI 1.07, 2.11]; 2 conditions: OR 1.96 [95% CI 1.32, 2.93]; 3 + conditions: OR 3.00 [95% CI 1.60, 5.62]), noise exposure (OR 1.54 [95% CI 1.16, 2.03]), bothersome tinnitus (OR 2.16 [95% CI 1.59, 2.93]), and more depressive symptoms (OR 1.04 [95% CI 1.01, 1.07]) were associated with higher odds of RHHI self-reported hearing difficulty.
CONCLUSIONS: The prevalence of RHHI self-reported hearing difficulty is high, and associated factors included demographics, audiometric hearing and other hearing-related factors, and physical and mental health. The RHHI likely captures functional impacts of hearing loss that are not captured by audiometry alone. Study findings can support the correct interpretation of the RHHI in research and clinical settings.
摘要：
背景：听力损失在老年人中很常见，是一个重要的公共卫生问题。听力困难的自我报告测量经常用于研究和临床实践，因为他们捕捉听力损失对个人的功能影响。然而,很少有研究评估与自我报告的听力障碍相关的患病率或因素.因此,这项研究的目的是确定自我报告的听力障碍的患病率，由修订后的听力障碍清单(RHHI)衡量，和相关因素。
方法：这项研究是在查尔斯顿的一项基于社区的队列研究中进行的，SC.我们确定了RHHI自我报告的听力困难（得分≥6分）的患病率，并使用logistic回归模型评估了相关因素。结果以比值比(OR)和相应的95%置信区间(95%CI)表示。
结果：本研究包括1558名参与者（平均年龄63.7[SD14.4]，56.9%女性，20.0%少数民族种族）。RHHI自我报告听力困难的患病率为48.8％。在多变量模型中，年龄较大（每+1年；OR0.97[95%CI0.96，0.98]），少数族裔(vs.白人）种族（OR0.68[95%CI0.49，0.94]），和优于预期的语音噪声评分(OR0.99[95%CI0.98,1.00])与RHHI自我报告听力困难的较低几率相关.此外，女性(vs.男性）性别（OR1.39[95%CI1.03，1.86]），较差耳朵的PTA较高（每+1dB；OR1.10[95%CI1.09，1.12]），更多合并症(与0；1个条件：OR1.50[95％CI1.07，2.11]；2个条件：OR1.96[95％CI1.32，2.93]；3个条件：OR3.00[95％CI1.60，5.62]），噪声暴露(OR1.54[95%CI1.16，2.03])，烦人的耳鸣（OR2.16[95%CI1.59，2.93]），更多的抑郁症状(OR1.04[95%CI1.01,1.07])与RHHI自我报告的听力障碍的几率更高相关.
结论：RHHI自我报告的听力困难的患病率很高，相关因素包括人口统计学，听力测量听力和其他听力相关因素，以及身心健康。RHHI可能捕获听力损失的功能影响，而不是通过测听法单独捕获。研究结果可以支持RHHI在研究和临床环境中的正确解释。
方法：这项研究是在查尔斯顿的一项基于社区的队列研究中进行的，SC.我们确定了RHHI自我报告的听力困难（得分≥6分）的患病率，并使用logistic回归模型评估了相关因素。结果以比值比(OR)和相应的95%置信区间(95%CI)表示。
结果：本研究包括1558名参与者（平均年龄63.7[SD14.4]，56.9%女性，20.0%少数民族种族）。RHHI自我报告听力困难的患病率为48.8％。在多变量模型中，年龄较大（每+1年；OR0.97[95%CI0.96，0.98]），少数族裔(vs.白人）种族（OR0.68[95%CI0.49，0.94]），和优于预期的语音噪声评分(OR0.99[95%CI0.98,1.00])与RHHI自我报告听力困难的较低几率相关.此外，女性(vs.男性）性别（OR1.39[95%CI1.03，1.86]），较差耳朵的PTA较高（每+1dB；OR1.10[95%CI1.09，1.12]），更多合并症(与0；1个条件：OR1.50[95％CI1.07，2.11]；2个条件：OR1.96[95％CI1.32，2.93]；3个条件：OR3.00[95％CI1.60，5.62]），噪声暴露(OR1.54[95%CI1.16，2.03])，烦人的耳鸣（OR2.16[95%CI1.59，2.93]），更多的抑郁症状(OR1.04[95%CI1.01,1.07])与RHHI自我报告的听力障碍的几率更高相关.
结论：RHHI自我报告的听力困难的患病率很高，相关因素包括人口统计学，听力测量听力和其他听力相关因素，以及身心健康。RHHI可能捕获听力损失的功能影响，而不是通过测听法单独捕获。研究结果可以支持RHHI在研究和临床环境中的正确解释。
