Abstract:Age-related hearing loss (ARHL) is a common problem for older adults, leading to communication difficulties, isolation, and cognitive decline. Recently, hearing loss has been identified as potentially the most modifiable risk factor for dementia. Listening in challenging situations, or when the auditory system is damaged, strains cortical resources, and this may change how the brain responds to cognitively demanding situations more generally. We review the effects of ARHL on brain areas involved in speech perc… Show more
“…Nevertheless, it should be noted that the magnitude of the effect of age on hearing loss varies considerably among individuals. Nearly one in three people older than 70 years old do not develop high-frequency hearing loss, a condition that has traditionally been linked with aging ( Slade et al., 2020 ). Despite diligent research over the past decades, our understanding of age-related hearing loss is very limited (Bowl & Dawson, 2019, p. 1).…”
Hearing loss is a major health challenge that can have severe physical, social, cognitive, economic, and emotional consequences on people’s quality of life. Currently, the modifiable factors linked to socioeconomic inequalities in hearing health are poorly understood. Therefore, an online database search (PubMed, Scopus, and Psych) was conducted to identify literature that relates hearing loss to health inequalities as a determinant or health outcome. A total of 53 studies were selected to thematically summarize the existing literature, using a critical interpretive synthesis method, where the subjectivity of the researcher is intimately involved in providing new insights with explanatory power. The evidence provided by the literature can be summarized under four key themes: (a) There might be a vicious cycle between hearing loss and socioeconomic inequalities and lifestyle factors, (b) socioeconomic position may interact with less healthy lifestyles, which are harmful to hearing ability, (c) increasing health literacy could improve the diagnosis and prognosis of hearing loss and prevent the adverse consequences of hearing loss on people’s health, and (d) people with hearing loss might be vulnerable to receiving low-quality and less safe health care. This study uses elements from theoretical models of health inequalities to formulate a highly interpretive conceptual model for examining hearing health inequalities. This model depicts the specific mechanisms of hearing health and their evolution over time. There are many modifiable determinants of hearing loss, in several stages across an individual’s life span; tackling socioeconomic inequalities throughout the life-course could improve the population’s health, maximizing the opportunity for healthy aging.
“…Nevertheless, it should be noted that the magnitude of the effect of age on hearing loss varies considerably among individuals. Nearly one in three people older than 70 years old do not develop high-frequency hearing loss, a condition that has traditionally been linked with aging ( Slade et al., 2020 ). Despite diligent research over the past decades, our understanding of age-related hearing loss is very limited (Bowl & Dawson, 2019, p. 1).…”
Hearing loss is a major health challenge that can have severe physical, social, cognitive, economic, and emotional consequences on people’s quality of life. Currently, the modifiable factors linked to socioeconomic inequalities in hearing health are poorly understood. Therefore, an online database search (PubMed, Scopus, and Psych) was conducted to identify literature that relates hearing loss to health inequalities as a determinant or health outcome. A total of 53 studies were selected to thematically summarize the existing literature, using a critical interpretive synthesis method, where the subjectivity of the researcher is intimately involved in providing new insights with explanatory power. The evidence provided by the literature can be summarized under four key themes: (a) There might be a vicious cycle between hearing loss and socioeconomic inequalities and lifestyle factors, (b) socioeconomic position may interact with less healthy lifestyles, which are harmful to hearing ability, (c) increasing health literacy could improve the diagnosis and prognosis of hearing loss and prevent the adverse consequences of hearing loss on people’s health, and (d) people with hearing loss might be vulnerable to receiving low-quality and less safe health care. This study uses elements from theoretical models of health inequalities to formulate a highly interpretive conceptual model for examining hearing health inequalities. This model depicts the specific mechanisms of hearing health and their evolution over time. There are many modifiable determinants of hearing loss, in several stages across an individual’s life span; tackling socioeconomic inequalities throughout the life-course could improve the population’s health, maximizing the opportunity for healthy aging.
“…This points to a possible top-down influence of stored syntactic information provided by delta-band tracking, which also seems to be deteriorating with increasing age both in occipital and cingulate cortex. Interestingly, age-related hearing loss also leads to a volume reduction in anterior cingulate cortex (Slade et al, 2020), which in turn also leads to more memory impairments and cognitive deficits (Belkhiria et al, 2019). These and our current results strengthen the notion that the cingulate cortex has an important function also in visual speech processing, as this also goes in line with the mentioned compensatory mechanism in anterior cingulate cortex (ACC) (Erb & Obleser, 2013).…”
In a previous work we showed that the visual cortex tracks acoustic amplitude modulations accompanying lip movements during silently presented visual speech. Whether similar visuo-phonological transformation processes also exist for spectral modulations is unknown, which altogether could support the integration of auditory and visual cues for speech processing. Also, given increasing hearing difficulties in elderly individuals, we were interested in how these processes change as a function of age. Participants watched silent videos of a speaker and paid attention to the lip movements while being seated in the MEG. We found that the visual cortex not only tracks the unheard speech envelope, but also the unheard modulations of resonant frequencies (or formants) and the pitch (or fundamental frequency) linked to the lip movements, a process that is in general related to speech comprehension. Interestingly, only the processing of intelligible unheard formants decreases significantly with age in the visual and also in the cingulate cortex. This is not the case for the processing of the unheard speech envelope, the fundamental frequency or the purely visual information carried by lip movements. These results show that not only the global unheard speech envelope, but also unheard spectral fine-details are transformed from a mere visual to a phonological representation. Aging affects especially the ability to derive spectral dynamics at formant frequencies. Since listening in noisy environments should capitalize on the ability to track spectral fine-details, our results provide a novel focus on compensatory processes in such challenging situations.
“…Evidence for these widespread effects in humans includes associations between hearing thresholds and brain morphology. A close examination of these findings and their putative mechanisms is important because some suggest that these findings can explain age-related changes in speech recognition, as well as associations between elevated pure-tone thresholds and lower general cognitive function ( Slade, et al., 2020 for review). Here we explain why caution is warranted when considering brain structure correlations as evidence for a hypothesized relationship between hearing loss and general cognitive function.…”
Section: Consequences Of Peripheral Declines and Neural Presbyacusismentioning
Highlights
Presbyacusis presents with metabolic, neural, and/or sensory phenotypes.
Reduced endocochlear potential is likely to be a key contributor to presbyacusis.
Genetic factors contribute to presbyacusis, including single-gene variants.
There appear to be downstream effects of presbyacusis on brain function and structure.
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