Knight Sarah, Heinrich Antje
Speech, Hearing & Phonetic Sciences, University College London, London, United Kingdom.
Medical Research Council Institute of Hearing Research, University of Nottingham, Nottingham, United Kingdom.
Front Psychol. 2019 Jan 23;9:2779. doi: 10.3389/fpsyg.2018.02779. eCollection 2018.
Inhibition-the ability to suppress goal-irrelevant information-is thought to be an important cognitive skill in many situations, including speech-in-noise (SiN) listening. Both inhibition and SiN perception are thought to worsen with age, but attempts to connect age-related declines in these two abilities have produced mixed results even though a clear positive relationship has generally been hypothesized. We suggest that these inconsistencies may occur because listener-based demographic variables such as educational attainment modulate the relationship between inhibition and SiN perception. We tested this hypothesis with a group of 50 older adults (61-86 years, mean: 69.5) with mild-to-moderate age-related hearing loss (8-53 average dB HL, mean: 25.3 dB HL). Participants performed a visual Stroop task and two SiN tasks. In a Stroop task one stimulus dimension is named while a second, more prepotent dimension is ignored. Results show a clear influence of educational attainment on the relationship of visual Stroop scores to SiN performance, but only for those with lower levels of education. These findings highlight for the first time the importance of considering potentially heterogeneous demographic listener variables when analyzing cognitive tasks and their relationship to SiN perception.
抑制——抑制与目标无关信息的能力——被认为是许多情况下的一项重要认知技能,包括噪声环境下言语(SiN)聆听。抑制和SiN感知都被认为会随着年龄增长而变差,但尽管通常假设这两种能力与年龄相关的下降之间存在明确的正相关关系,但试图将这两种能力与年龄相关的下降联系起来的研究结果却喜忧参半。我们认为,这些不一致情况可能是因为基于听众的人口统计学变量(如教育程度)调节了抑制与SiN感知之间的关系。我们对一组50名年龄在61至86岁之间(平均年龄:69.5岁)、患有轻度至中度年龄相关性听力损失(平均听力损失8至53分贝HL,平均:25.3分贝HL)的老年人进行了这一假设的测试。参与者完成了一项视觉斯特鲁普任务和两项SiN任务。在斯特鲁普任务中,一个刺激维度被命名,而另一个更具优势的维度被忽略。结果表明,教育程度对视觉斯特鲁普分数与SiN表现之间的关系有明显影响,但仅对教育程度较低的人有影响。这些发现首次凸显了在分析认知任务及其与SiN感知的关系时考虑潜在异质的人口统计学听众变量的重要性。