Skip to main content

PERSPECTIVE article

Front. Psychol., 17 July 2015
Sec. Auditory Cognitive Neuroscience
This article is part of the Research Topic The Role of Working Memory and Executive Function in Communication under Adverse Conditions View all 25 articles

Oral communication in individuals with hearing impairment—considerations regarding attentional, cognitive and social resources

  • Cognitive and Ecological Audiology, Science and Technology, Phonak AG, Stäfa, Switzerland

Traditionally, audiology research has focused primarily on hearing and related disorders. In recent years, however, growing interest and insight has developed into the interaction of hearing and cognition. This applies to a person’s listening and speech comprehension ability and the neural realization thereof. The present perspective extends this view to oral communication, when two or more people interact in social context. Specifically, the impact of hearing impairment and cognitive changes with age is discussed. In focus are executive functions, a group of top-down processes that guide attention, thought and action according to goals and intentions. The strategic allocation of the limited cognitive processing capacity among concurrent tasks is often effortful, especially under adverse communication conditions and in old age. Working memory, a sub-function extensively discussed in cognitive hearing science, is here put into the context of other executive and cognitive functions required for oral communication and speech comprehension. Finally, taking an ecological view on hearing impairment, activity limitations and participation restrictions are discussed regarding their psycho-social impact and third-party disability.

General Aspects of Oral Communication

Being able to communicate with others is regarded a key element of human functioning. During oral communication individuals interact with each other, and also with their social and physical surroundings by exchanging information in form of language, signals, and behavior (Stephens and Kramer, 2009). As such oral communication constitutes by far a more complex process than serving the basic purpose of sending and receiving information. Communication implies bidirectional transfer of information, meaning, and intent between two or more individuals (Kiessling et al., 2003). As such, it is a social act originating from the need to express oneself, and to relate to others. Furthermore, interactions are mediated by psychological variables of the communication partners such as emotions, attitudes, and beliefs as well as by values and rules of the community. Thus, oral communication is a broad concept encompassing perceptual, cognitive, psychological, and social constructs.

Hearing impairment constitutes a major challenge in this respect as it generally leads to difficulties in oral communication (Stephens and Jones, 2005). These communication problems are often age-related and accompanied by impairment of other sensory modalities and comorbid health problems (Kramer et al., 2002; Davis and Davis, 2009; Lemke, 2009; Stam et al., 2014). Age-related hearing impairment (presbycusis) begins in the fourth decade and its prevalence increases with age. About half of the population over the age of 65 years and up to 90% of individuals over the age of 80 years are affected by presbycusis (Cruikshanks et al., 2010; Lin et al., 2011c). The consequences of hearing impairment can be far reaching, commonly affecting not only the hearing impaired person, but also their communication partners, primarily significant others (SOs), and social networks. According to the World Health Organization’s International Classification of Functioning, Disability, and Health (ICF) (WHO; World Health Organization, 2001) communication disability due to hearing impairment is an outcome of interactions between sensory impairment and participation in life. For instance, hearing impairment often makes it difficult to participate in social and cultural activities due to a restricted ability to interact and communicate with peers. This can lead to withdrawal from activities and participation potentially resulting in feelings of loneliness and social isolation (Pronk et al., 2011).

As auditory perception sets the basis for oral communication, the contribution of the auditory system often is narrowed down to the term “hearing.” However, the concept should be disentangled and extended into more specific mechanisms that drive the stream of oral communication, that is hearing, listening, comprehending, and eventually communicating (World Health Organization, 2001; Kiessling et al., 2003). In the communication pathway hearing represents an important, rather passive function denoting the perception of sound. It is usually at this stage of sensory processing that hearing impairment is described by means of audiometry. Listening, comprehending, and communicating on the other hand are considered more complex processes that require active engagement of the individual(s) as well as fast interactions between sensory and cognitive processing. For example, listening to someone can be referred to as hearing with intention and attention. As such listening often demands the expenditure of mental effort, because cognitive resources including attention and executive functions (EFs) have to be invested for goal pursuit. Besides, the information must be received and decoded in a unidirectional manner in order to be able to derive and understand meaning. This step is described as comprehension and takes place throughout conversations with others. Finally, communication involves the conversational interactions between two or more people, while transferring information, meaning and intent bi-directionally. Given the described steps in the communication pathway, successful oral communication depends not only on the ability of hearing, but also requires listening and comprehending from all participants involved. One could understand a communication situation as a dynamic system that must be carefully balanced. Difficulties in either one component, such as one communication partner being hearing impaired, would require sensitivity and flexibility by means of adaptation of the system. To maintain the flow of a conversation and to avoid interruptions, when communication problems occur, strategies for compensation and repair need be activated immediately. Such strategies could include that the speaker repeats or rephrases what was said using loud and clear voicing, or that the hearing impaired person tries to concentrate more and activates additional mental resources (e.g., filling the gaps through context) or relies more on other modalities (e.g., visual cues for lip-reading; Lind, 2009; Lind et al., 2010).

Executive Functions and Attention Steer Oral Communication

Oral communication requires concentration and paying attention, thus demanding specific top-down mental processes that are referred to as EFs (Miller and Cohen, 2001; Burgess and Simons, 2005; Diamond, 2013). These EFs enable the strategic handling of communicational intentions such as taking time to think before responding, considering unanticipated arguments, resisting the temptation to interrupt a communication partner, and staying focused throughout a conversation. Figure 1 shows EFs that have consistently been identified and that have been associated with a prefrontal-parietal neural network (Diamond, 2013). While there is inconsistency in the literature regarding the use of specific terms and the modeling of EFs, there is general agreement on three essential functions behind this network, namely inhibitory and interference control, working memory, and cognitive flexibility (Miyake et al., 2000; Miller and Cohen, 2001; Diamond, 2013). These core functions mediate higher order EFs such as reasoning, problem solving (the latter two being used synonymous with fluid intelligence), anticipation and planning. Overall, EFs describe the ability to guide attention, thought, and action in accord with goals or intentions as it is required in oral communication (Miller and Cohen, 2001).

FIGURE 1
www.frontiersin.org

Figure 1. Executive functions—a set of top-down mental processes (adapted from Diamond, 2013).

The degree to which attention, EF and other cognitive resources have to be allocated and engaged for a specific listening goal is referred to as listening effort, which is especially reported under adverse listening conditions and for cognitively demanding listening tasks (Anderson Gosselin and Gagne, 2011; Picou et al., 2011; McGarrigle et al., 2014; and respective comments from Ronnberg et al., 2014; Wingfield, 2014). This is for instance the case, when auditory perception is compromised by distracting background noise, reverberant conditions, competing voices, and/or a degraded auditory signal due to a person’s hearing impairment (Arlinger et al., 2009). Under such circumstances, there is a high demand for core EFs, which is especially challenging in old age and will be outlined in more detail below (Erb and Obleser, 2013).

Firstly, inhibitory and interference control enable the selective allocation and reallocation of attention. Thus, it becomes for instance possible to focus on the voice of interest in a multi-talker environment, while suppressing other auditory streams. In hearing impairment, degraded signals trigger automatic, stimulus driven, bottom-up processing. Because they are more difficult to analyze they attract additional involuntary attention (Shinn-Cunningham, 2007; Shinn-Cunningham and Best, 2008). Consequently, it becomes more demanding to ignore or attend to specific stimuli driven by top-down goals and intentions (Posner and DiGirolamo, 1998). Also, it should be noted that older adults tend to develop difficulties in inhibition of distractions (Alain and Woods, 1999). While the ability of focusing attention usually remains intact in old age, there is strong evidence for an inhibitory-control deficit in aging (Gazzaley et al., 2005; Diamond, 2013). This age-specific difficulty is most probably taking its toll in complex communication situations and to an even greater extent in the presence of hearing impairment.

Secondly, the core EF of working memory (WM)—the ability to hold information in mind (maintain) and mentally work with it (manipulate) at the same time (Baddeley, 1992)—is key for speech understanding and communication (cf. new ELU-model; Ronnberg et al., 2013). WM allows one to relate things to each other over time, to consider alternatives, and to make decisions considering the past and the future. With regard to WM, evidence is in support of models that suggest a functional (maintenance vs. manipulation) as well as domain-specific organization (verbal vs. visual-spatial) in the frontal brain (Ullsperger and von Cramon, 2006). In the context of oral communication, verbal WM is necessary for comprehending speech, when meaning unfolds over the course of words and sentences. Nonetheless, visual-spatial WM can also play a role in the analysis of an auditory communication scene, as it facilitates the localization and segregation of speakers and other audio sources. Hearing impairment additionally loads on WM (e.g., when degraded information has to be put in context to derive its meaning; Ronnberg et al., 2013). Also here, a decline in WM capacity is common with age (e.g., Park, 1999) and constitutes an additional challenge for individuals with age-related hearing impairment. To a great extent this decline in WM seems to be due to the decline in inhibitory control (Hedden and Park, 2001). Moreover, a big overlap of age-related changes in speed of information processing and WM has been observed and controversially discussed (Salthouse, 1992; Zimprich and Kurtz, 2013). Inhibitory control and WM support each other. For example, in order to follow and participate in a conversation distracting thoughts and lines have to be disregarded and relevant information has to be retained.

Thirdly, it should be noted that the two previously discussed functions together provide the basis for a third core EF, which is cognitive flexibility. It describes the ability to change perspective regarding a problem, to be creative, to adjust to new demands, or to switch tasks according to priorities (Diamond, 2013). In general, cognitive flexibility also declines with age. For instance, in tasks that require switching between rules or response sets, older adults tend to slow down to maintain accuracy (Kray and Lindenberger, 2000; Cepeda et al., 2001). Older adults tend to recruit EFs in a rather reactive way in response to demands, whereas young adults tend to be anticipatory and proactively in recruiting EFs (Karayanidis et al., 2011).

Cognitive Resources for Speech Comprehension

Central to oral communication is the ability to understand speech, which entails constant interactions between auditory and cognitive processing (Pichora-Fuller and Singh, 2006). Sounds continuously arrive at the ears via vibrations of air and are converted to linguistic representations in the brain (Craik, 2007). It is a bidirectional process taking in bottom-up information by using the perceptual system and conveying these inputs with top-down knowledge that has developed through experience (Pichora-Fuller, 2008a). Good quality of the signal facilitates speech understanding and better cognitive resources increase the chances to understand. In more detail, the bottom-up perspective is referred to as data-driven processing that involves mechanisms of conveying information from acoustic signals to phonemes, words, phrases and sentences. It is based on peripheral auditory processes that depend on the perceptual accuracy in coding and transferring acoustic information. Top-down effects, on the other side, are conceptually-driven cognitive processes that enable speech perception by linguistic context and expectation of the listener using the influence of memories and knowledge (Norman and Bobrow, 1975). Cognitive domains that apply for successful speech understanding primarily include speed of information processing (Review: Schneider et al., 2010), selective focused attention (e.g., Koelewijn et al., 2014), WM (e.g., Baddeley, 1992; Akeroyd, 2008) as well as semantic knowledge, namely language abilities and context integration (e.g., Pichora-Fuller and Singh, 2006; Zekveld et al., 2011).

In normal hearing individuals, the abilities to segregate, select, store, identify, and integrate information is often at risk in complex or adverse listening conditions. In case of hearing impairment and/or old age, additional challenges are introduced by compromised bottom-up information and/or decrements in top-down cognitive resources due to age-related changes (e.g., Bregman, 1990; Pichora-Fuller, 2003). Cognitive resources are generally limited and their processing “capacity” is assigned and flexibly shared between a number of tasks according to priorities (Moray, 1967; Kahneman, 1973; Wickens, 2008). In order to compensate for auditory deficits, hearing impaired listeners must invest more cognitive resources, for instance in order to follow a conversation. This is typically perceived as effortful by the listener. Also, these resources might otherwise be available for parallel tasks. In demanding listening situations, cognitive resources, such as rapidly switching attention and suppressing interfering sounds are additionally needed to extract the speech signal from competing sound sources and then to match it to mental representations of the phonological and semantic long term memory (cf. new ELU-model; Ronnberg et al., 2013). Consequently, less cognitive capacity is reserved and available for additional processes such as maintenance and manipulation of novel auditory information in WM or establishing episodic memory traces (Tun and Wingfield, 1999; Wingfield and Tun, 2001; Rudner et al., 2011; Mishra, 2014; Rudner and Lunner, 2014). In other words, speech understanding under adverse conditions takes up more cognitive capacity, firstly to decode the speech signal and secondly to comprehend it in order to be able to communicate, respectively. At this level, typical age-relevant cognitive declines in speed of information processing, inhibitory and interference control, WM capacity, and/or mental flexibility described earlier, may contribute even more to communication difficulties for the listener. Nevertheless, some of the above mentioned age-related challenges might be compensated if context information becomes available. For example, it has been shown that older people have a broader semantic knowledge and vocabulary, wider social experiences in a variety of communication situations, and make better use of prosody and context compared to younger individuals (Pichora-Fuller and Singh, 2006; Pichora-Fuller, 2008b).

Overall, speech understanding is realized through a widespread neural circuit that is mapped as a dynamic temporo-frontal network in the brain. Bottom-up information arrives at the auditory cortex within the temporal lobe and is directed to higher-order brain regions of the frontal cortex along multiple long-range language connections specified by ventral and dorsal pathways (Friederici, 2012). The ventral pathway is associated with the processing of sound-to-meaning and has been suggested to map acoustic speech signals onto lexical conceptual representations. The dorsal stream, on the other hand, is linked to the processing of sound-to-action and has been proposed the role of mapping signals onto articulatory motor representations (Hickok and Poeppel, 2007). More specifically, language-related brain areas typically comprise Broca’s area in the inferior frontal gyrus, Wernicke’s area in the superior temporal gyrus, and also parts of the middle temporal gyrus and the inferior parietal regions (Friederici, 2011). In this respect, the temporal cortex plays an important role for oral communication, given that this is the center where further connections for higher order processing are linked enabling the integration of attention, memory, and context for understanding speech. Interestingly enough, brain imaging studies have shown that with increasing age physiological changes in the healthy brain may become relevant for the integration of different cognitive resources in speech understanding under challenging listening conditions. These changes include reduced connectivity of neurons and thus interactions between brain regions; moderate loss of brain mass especially in the prefrontal cortex, medial temporal cortex (esp. hippocampus) or caudate nucleus; as well as changes in neurotransmitter systems such as the dopaminergic systems (e.g., Raz, 2005; Park and Reuter-Lorenz, 2009). Yet, literature has also shown that compensatory effects in old age as mentioned earlier are also reflected by brain activation patterns. A more extensive brain activity has been observed when listeners engaged in additional top-down context-driven processing (Davis et al., 2005). Primarily, activations in areas of the prefrontal and parietal cortices during listening in adverse conditions suggest increased functional connectivity between high-order cortical areas and indicate the allocation of additional, especially executive resources for semantic processing (Obleser et al., 2007). These widespread activations support compensatory processing in old age (Cabeza et al., 2002).

As there is a close association of hearing impairment and cognitive decline in old age, several explanations have been proposed and are debated (Li and Lindenberger, 2002; Lin et al., 2011a,d). Importantly, none of the explanatory models are exclusive, but instead could be coexistent. Namely, it has been hypothesized that sensory and cognitive decline in old age share their pathologic etiology and have a “common cause.” Also, the described interaction of hearing impairment and cognitive load in the sense of resource competition and limited capacity could explain this association. Last but not least, social and psychological factors have to be taken into account as the interaction of hearing and cognition could be mediated through those.

Social Resources and Consequences

Considering that communication takes place between two or more individuals and in the context of culture and society, it is influenced by shared and unshared patterns of action, meaning, and values. These phenomena are intensively studied in social psychology with regard to intrapersonal (e.g., self-concept and social cognition) and interpersonal processes (e.g., social influence, group dynamics, attractions, and generation gap; e.g., Tesser and Schwarz, 2000; Fletcher and Clark, 2002). One’s thoughts, feelings, and behaviors are influenced by the presence of others and interaction with others. Therefore, difficulties in communication that are driven by hearing impairment may have significant consequences concerning the sense of security in everyday life, quality of life, social and emotional functioning as well as psychological wellbeing (e.g., Strawbridge et al., 2000; Nachtegaal et al., 2009, 2012; Danermark et al., 2010; Stam et al., 2013, 2014; Hogan et al., 2015). It is evident that poor hearing leads to communication impairments that may result in social isolation and may mediate disadvantageous health and functional consequences (Berkman et al., 2000; Uchino, 2006). Also, it is hypothesized that withdrawal from social participation may put hearing impaired people at risk for more rapid cognitive decline (Uhlmann et al., 1989; Gates et al., 2010, 2011; Lin et al., 2011a,b). In connection with this, the role of communication partners, especially SOs, in hearing impairment has gained interest during recent years. This is particularly evident in the WHO’s ICF classification (World Health Organization, 2001) of the effect of hearing impairment on SOs as a third-party disability. Third-party disability is described to occur when the SO does not have a hearing impairment themselves, but experiences activity limitations and participation restrictions as a result of their partner’s hearing impairment (Scarinci et al., 2009, 2012). SOs are reported to experience a restricted social life, increased burden of communication, and poorer quality of life and relationship satisfaction (Kamil and Lin, 2015). Treatment of hearing impairment that typically comprises hearing aids, cochlear implants, and audiological rehabilitation programs targeting the hearing impaired person, tend to also improve quality of life, communication, feelings toward the hearing impaired person, and activity participation of the SO (Kamil and Lin, 2015).

Concluding Remarks

Modern audiology has extended its focus from hearing to considerations of cognitive processes, aging effects and social factors in order to address the communication problems of hearing impaired individuals and to meet their expectations. In recent years, great insight has been gained into this interdisciplinary field of study. For instance research has taken into account aspects of neuro-cognitive mechanisms, age-related decrements and compensatory strategies, as well as the role of SOs and the social network related to successful oral communication and rehabilitation. Nevertheless, there is still great potential for applying this knowledge as a matter of course in aural rehabilitation (e.g.,Ekberg et al., 2014, 2015; Hickson et al., 2014) and translating it into services and products to the benefit of the hearing impaired (e.g., Lunner et al., 2009; Pichora-Fuller et al., 2013).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

Both authors are employed at Phonak AG, Switzerland. The present work was conducted in Phonak’s research program Cognitive and Ecological Audiology at the department of Science and Technology.

References

Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? A survey of twenty experimental studies with normal and hearing-impaired adults. Int. J. Audiol. 47(Suppl. 2), S53–S71. doi: 10.1080/14992020802301142

PubMed Abstract | CrossRef Full Text | Google Scholar

Alain, C., and Woods, D. L. (1999). Age-related changes in processing auditory stimuli during visual attention: evidence for deficits in inhibitory control and sensory memory. Psychol. Aging 14, 507–519. doi: 10.1037/0882-7974.14.3.507

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson Gosselin, P., and Gagne, J. P. (2011). Older adults expend more listening effort than young adults recognizing speech in noise. J. Speech Lang. Hear. Res. 54, 944–958. doi: 10.1044/1092-4388(2010/10-0069)

PubMed Abstract | CrossRef Full Text | Google Scholar

Arlinger, S., Lunner, T., Lyxell, B., and Pichora-Fuller, M. K. (2009). The emergence of cognitive hearing science. Scand. J. Psychol. 50, 371–384. doi: 10.1111/j.1467-9450.2009.00753.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Baddeley, A. (1992). Working memory. Science 255, 556–559. doi: 10.1126/science.1736359

CrossRef Full Text | Google Scholar

Berkman, L. F., Glass, T., Brissette, I., and Seeman, T. E. (2000). From social integration to health: durkheim in the new millennium. Soc. Sci. Med. 51, 843–857. doi: 10.1016/S0277-9536(00)00065-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Bregman, A. S. (1990). Auditory Scene Analysis: The Perceptual Organization of Sound. Cambridge, MA: MIT Press.

Google Scholar

Burgess, P. W., and Simons, J. S. (2005). “Theories of frontal lobe executive function: clinical applications,” in Effectiveness of Rehabilitation for Cognitive Deficits, eds P. W. Halligan and D. T. Wade (Oxford: Oxford University Press), 211–231.

Google Scholar

Cabeza, R., Anderson, N. D., Locantore, J. K., and Mcintosh, A. R. (2002). Aging gracefully: compensatory brain activity in high-performing older adults. Neuroimage 17, 1394–1402. doi: 10.1006/nimg.2002.1280

PubMed Abstract | CrossRef Full Text | Google Scholar

Cepeda, N. J., Kramer, A. F., and Gonzalez De Sather, J. C. (2001). Changes in executive control across the life span: examination of task-switching performance. Dev. Psychol. 37, 715–730. doi: 10.1037/0012-1649.37.5.715

PubMed Abstract | CrossRef Full Text | Google Scholar

Craik, F. I. (2007). The role of cognition in age-related hearing loss. J. Am. Acad. Audiol. 18, 539–547. doi: 10.3766/jaaa.18.7.2

PubMed Abstract | CrossRef Full Text | Google Scholar

Cruikshanks, K. J., Zhan, W., and Zhong, W. (2010). “Epidemiology of age-related hearing impairment,” in The Aging Auditory System: Perceptual Characterization and Neural Bases of Presbycusis, eds S. Gordon-Salant, R. D. Frisina, A. Pop-per, and D Fay (Berlin: Springer), 259–274.

Google Scholar

Danermark, B., Cieza, A., Gange, J. P., Gimigliano, F., Granberg, S., Hickson, L., et al. (2010). International classification of functioning, disability, and health core sets for hearing loss: a discussion paper and invitation. Int. J. Audiol. 49, 256–262. doi: 10.3109/14992020903410110

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, A., and Davis, K. A. (2009). “Epidemiology of aging and hearing loss related to other chronic illnesses,” in Hearing Care for Adults 2009—The Challenge of Aging. Proceedings of the 2nd International Adult Conference, ed. L. Hickson (Staefa: Phonak AG), 23–32.

Google Scholar

Davis, M. H., Johnsrude, I. S., Hervais-Adelman, A., Taylor, K., and Mcgettigan, C. (2005). Lexical information drives perceptual learning of distorted speech: evidence from the comprehension of noise-vocoded sentences. J. Exp. Psychol. Gen. 134, 222–241. doi: 10.1037/0096-3445.134.2.222

PubMed Abstract | CrossRef Full Text | Google Scholar

Diamond, A. (2013). Executive functions. Annu. Rev. Psychol. 64, 135–168. doi: 10.1146/annurev-psych-113011-143750

PubMed Abstract | CrossRef Full Text | Google Scholar

Ekberg, K. C. M., Scarinci, N., Grenness, C., and Hickson, L. (2014). Disagreements between clients and family members regarding clients’ hearing and rehabilitation within audiology appointments for older adults. J. Interact. Res. Commun. Disord. 5, 217–244. doi: 10.1558/jircd.v5i2.217

CrossRef Full Text | Google Scholar

Ekberg, K., Meyer, C., Scarinci, N., Grenness, C., and Hickson, L. (2015). Family member involvement in audiology appointments with older people with hearing impairment. Int. J. Audiol. 54, 70–76. doi: 10.3109/14992027.2014.948218

PubMed Abstract | CrossRef Full Text | Google Scholar

Erb, J., and Obleser, J. (2013). Upregulation of cognitive control networks in older adults’ speech comprehension. Front. Syst. Neurosci. 7:116. doi: 10.3389/fnsys.2013.00116

PubMed Abstract | CrossRef Full Text | Google Scholar

Fletcher, G., and Clark, M. S. (2002). Blackwell Handbook of Social Psychology: Interpersonal Processes. Oxford: Wiley-Blackwell.

Google Scholar

Friederici, A. D. (2011). The brain basis of language processing: from structure to function. Physiol. Rev. 91, 1357–1392. doi: 10.1152/physrev.00006.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Friederici, A. D. (2012). The cortical language circuit: from auditory perception to sentence comprehension. Trends Cogn. Sci. 16, 262–268. doi: 10.1016/j.tics.2012.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Gates, G. A., Anderson, M. L., Mccurry, S. M., Feeney, M. P., and Larson, E. B. (2011). Central auditory dysfunction as a harbinger of alzheimer dementia. Arch. Otolaryngol. Head Neck Surg. 137, 390–395. doi: 10.1001/archoto.2011.28

PubMed Abstract | CrossRef Full Text | Google Scholar

Gates, G. A., Gibbons, L. E., Mccurry, S. M., Crane, P. K., Feeney, M. P., and Larson, E. B. (2010). Executive dysfunction and presbycusis in older persons with and without memory loss and dementia. Cogn. Behav. Neurol. 23, 218–223. doi: 10.1097/WNN.0b013e3181d748d7

PubMed Abstract | CrossRef Full Text | Google Scholar

Gazzaley, A., Cooney, J. W., Mcevoy, K., Knight, R. T., and D’esposito, M. (2005). Top-down enhancement and suppression of the magnitude and speed of neural activity. J. Cogn. Neurosci. 17, 507–517. doi: 10.1162/0898929053279522

PubMed Abstract | CrossRef Full Text | Google Scholar

Hedden, T., and Park, D. (2001). Aging and interference in verbal working memory. Psychol. Aging 16, 666–681. doi: 10.1037/0882-7974.16.4.666

PubMed Abstract | CrossRef Full Text | Google Scholar

Hickok, G., and Poeppel, D. (2007). The cortical organization of speech processing. Nat. Rev. Neurosci. 8, 393–402. doi: 10.1038/nrn2113

PubMed Abstract | CrossRef Full Text | Google Scholar

Hickson, L., Meyer, C., Lovelock, K., Lampert, M., and Khan, A. (2014). Factors associated with success with hearing aids in older adults. Int. J. Audiol. 53(Suppl. 1), S18–S27. doi: 10.3109/14992027.2013.860488

PubMed Abstract | CrossRef Full Text | Google Scholar

Hogan, A., Phillips, R. L., Brumby, S. A., Williams, W., and Mercer-Grant, C. (2015). Higher social distress and lower psycho-social wellbeing: examining the coping capacity and health of people with hearing impairment. Disabil. Rehabil. 6, 1–6. doi: 10.3109/09638288.2014.996675

PubMed Abstract | CrossRef Full Text | Google Scholar

Kahneman, D. (1973). Attention and Effort. Englewood Cliffs, NJ: Prentice Hall.

Google Scholar

Kamil, R. J., and Lin, F. R. (2015). The effects of hearing impairment in older adults on communication partners: a systematic review. J. Am. Acad. Audiol. 26, 155–182. doi: 10.3766/jaaa.26.2.6

PubMed Abstract | CrossRef Full Text | Google Scholar

Karayanidis, F., Whitson, L. R., Heathcote, A., and Michie, P. T. (2011). Variability in proactive and reactive cognitive control processes across the adult lifespan. Front. Psychol. 2:318. doi: 10.3389/fpsyg.2011.00318

PubMed Abstract | CrossRef Full Text | Google Scholar

Kiessling, J., Pichora-Fuller, M. K., Gatehouse, S., Stephens, D., Arlinger, S., Chisolm, T., et al. (2003). Candidature for and delivery of audiological services: special needs of older people. Int. J. Audiol. 42(Suppl. 2), S92–S101. doi: 10.3109/14992020309074650

PubMed Abstract | CrossRef Full Text | Google Scholar

Koelewijn, T., Shinn-Cunningham, B. G., Zekveld, A. A., and Kramer, S. E. (2014). The pupil response is sensitive to divided attention during speech processing. Hear. Res. 312, 114–120. doi: 10.1016/j.heares.2014.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Kramer, S. E., Kapteyn, T. S., Kuik, D. J., and Deeg, D. J. (2002). The association of hearing impairment and chronic diseases with psychosocial health status in older age. J Aging Health 14, 122–137. doi: 10.1177/089826430201400107

PubMed Abstract | CrossRef Full Text | Google Scholar

Kray, J., and Lindenberger, U. (2000). Adult age differences in task switching. Psychol. Aging 15, 126–147. doi: 10.1037/0882-7974.15.1.126

PubMed Abstract | CrossRef Full Text | Google Scholar

Lemke, U. (2009). “The challenges of aging—Sensory, cognitive, socio-emotional, and health changes in old age,” in Hearing Care for Adults 200—The Challenge of Aging. Proceedings of the 2nd International Adult Conference, ed. L. Hickson (Staefa: Phonak AG), 33–43.

Google Scholar

Li, K. Z., and Lindenberger, U. (2002). Relations between aging sensory/sensorimotor and cognitive functions. Neurosci. Biobehav. Rev. 26, 777–783. doi: 10.1016/S0149-7634(02)00073-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, F. R., Ferrucci, L., Metter, E. J., An, Y., Zonderman, A. B., and Resnick, S. M. (2011a). Hearing loss and cognition in the baltimore longitudinal study of aging. Neuropsychology 25, 763–770. doi: 10.1037/a0024238

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, F. R., Metter, E. J., O’brien, R. J., Resnick, S. M., Zonderman, A. B., and Ferrucci, L. (2011b). Hearing loss and incident dementia. Arch. Neurol. 68, 214–220. doi: 10.1001/archneurol.2010.362

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, F. R., Niparko, J. K., and Ferrucci, L. (2011c). Hearing loss prevalence in the United States. Arch. Intern. Med. 171, 1851–1852. doi: 10.1001/archinternmed.2011.506

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, F. R., Thorpe, R., Gordon-Salant, S., and Ferrucci, L. (2011d). Hearing loss prevalence and risk factors among older adults in the United States. J. Gerontol. A Biol. Sci. Med. Sci. 66, 582–590. doi: 10.1093/gerona/glr002

PubMed Abstract | CrossRef Full Text | Google Scholar

Lind, C. (2009). “Conversation repair strategies in audiologic rehabilitation,” in Adult Audiologic Rehabilitation, eds J. Montano and J. Spitzer (San Diego, CA: Plural), 217–241.

Google Scholar

Lind, C., Hickson, L., and Erber, N. (2010). Who said what? Sampling conversation repair behavior involving adults with acquired hearing impairment. Semin. hear. 31, 104–115. doi: 10.1055/s-0030-1252104

CrossRef Full Text | Google Scholar

Lunner, T., Rudner, M., and Ronnberg, J. (2009). Cognition and hearing aids. Scand J Psychol. 50, 395–403. doi: 10.1111/j.1467-9450.2009.00742.x

PubMed Abstract | CrossRef Full Text | Google Scholar

McGarrigle, R., Munro, K. J., Dawes, P., Stewart, A. J., Moore, D. R., Barry, J. G., et al. (2014). Listening effort and fatigue: what exactly are we measuring? A British society of audiology cognition in hearing special interest group ‘white paper’. Int. J. Audiol. 53, 433–440. doi: 10.3109/14992027.2014.890296

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, E. K., and Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annu. Rev. Neurosci. 24, 167–202. doi: 10.1146/annurev.neuro.24.1.167

PubMed Abstract | CrossRef Full Text | Google Scholar

Mishra, S. (2014). Exploring Cognitive Spare Capacity: Executive Processing of Degraded Speech. Linköping: Linköping University. doi: 10.3384/diss.diva-104946

CrossRef Full Text | Google Scholar

Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., and Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: a latent variable analysis. Cogn. Psychol. 41, 49–100. doi: 10.1006/cogp.1999.0734

PubMed Abstract | CrossRef Full Text | Google Scholar

Moray, N. (1967). Where is capacity limited? A survey and a model. Acta Psychol. (Amst) 27, 84–92. doi: 10.1016/0001-6918(67)90048-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Nachtegaal, J., Festen, J. M., and Kramer, S. E. (2012). Hearing ability in working life and its relationship with sick leave and self-reported work productivity. Ear Hear. 33, 94–103. doi: 10.1097/AUD.0b013e318228033e

PubMed Abstract | CrossRef Full Text | Google Scholar

Nachtegaal, J., Smit, J. H., Smits, C., Bezemer, P. D., Van Beek, J. H., Festen, J. M., et al. (2009). The association between hearing status and psychosocial health before the age of 70 years: results from an internet-based national survey on hearing. Ear Hear. 30, 302–312. doi: 10.1097/AUD.0b013e31819c6e01

PubMed Abstract | CrossRef Full Text | Google Scholar

Norman, D. A., and Bobrow, D. G. (1975). On data-limited and resource-limited processes. Cogn. Psychol. 7, 44–64. doi: 10.1016/0010-0285(75)90004-3

CrossRef Full Text | Google Scholar

Obleser, J., Wise, R. J., Dresner, M. A., and Scott, S. K. (2007). Functional integration across brain regions improves speech perception under adverse listening conditions. J. Neurosci. 27, 2283–2289. doi: 10.1523/JNEUROSCI.4663-06.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, D. C. (1999). “The basic mechanisms accounting for age-related decline in cognitive function,” in Cognitive Aging: A Primer, eds D. Park and N. Schwarz (Philadelphia, PA: Psychology Press Taylor and Francis Group), 3–21.

Google Scholar

Park, D. C., and Reuter-Lorenz, P. (2009). The adaptive brain: aging and neurocognitive scaffolding. Annu. Rev. Psychol. 60, 173–196. doi: 10.1146/annurev.psych.59.103006.093656

PubMed Abstract | CrossRef Full Text | Google Scholar

Pichora-Fuller, M. K. (2003). Cognitive aging and auditory information processing. Int. J. Audiol. 42(Suppl. 2), S26–S32. doi: 10.3109/14992020309074641

PubMed Abstract | CrossRef Full Text | Google Scholar

Pichora-Fuller, M. K. (2008a). Audition and Cognition: Where Lab Meets Clinic. ASHA Lead. 13, 14–17. doi: 10.1044/leader.FTR2.13102008.14

CrossRef Full Text | Google Scholar

Pichora-Fuller, M. K. (2008b). Use of supportive context by younger and older adult listeners: balancing bottom-up and top-down information processing. Int. J. Audiol. 47(Suppl. 2), S72–S82. doi: 10.1080/14992020802307404

PubMed Abstract | CrossRef Full Text | Google Scholar

Pichora-Fuller, M. K., Dupuis, K., Reed, M., and Lemke, U. (2013). Helping older people with cognitive decline communicate: hearing aids as part of a broader rehabilitation approach. Semin. Hear. 34, 308–330. doi: 10.1055/s-0033-1356643

CrossRef Full Text | Google Scholar

Pichora-Fuller, M. K., and Singh, G. (2006). Effects of age on auditory and cognitive processing: implications for hearing aid fitting and audiologic rehabilitation. Trends Amplif. 10, 29–59. doi: 10.1177/108471380601000103

PubMed Abstract | CrossRef Full Text | Google Scholar

Picou, E. M., Ricketts, T. A., and Hornsby, B. W. (2011). Visual cues and listening effort: individual variability. J. Speech Lang. Hear. Res. 54, 1416–1430. doi: 10.1044/1092-4388(2011/10-0154)

PubMed Abstract | CrossRef Full Text | Google Scholar

Posner, M. I., and DiGirolamo, G. J. (1998). “Executive attention: conflict, target detection, and cognitive control,” in The Attentive Brain, ed. R. Parasuraman (Cambridge, MA: MIT Press), 401–423.

Google Scholar

Pronk, M., Deeg, D. J., Smits, C., Van Tilburg, T. G., Kuik, D. J., Festen, J. M., et al. (2011). Prospective effects of hearing status on loneliness and depression in older persons: identification of subgroups. Int. J. Audiol. 50, 887–896. doi: 10.3109/14992027.2011.599871

PubMed Abstract | CrossRef Full Text | Google Scholar

Raz, N. (2005). “The aging brain observed in vivo: different changes and their modifiers,” in Cognitive Neuroscience of Aging. Linking cognitive and Cerebral Aging, eds R. Cabeza, L. Nyberg, and D. Park (New York, NY: Oxford University Press), 19–57.

Google Scholar

Ronnberg, J., Lunner, T., Zekveld, A., Sorqvist, P., Danielsson, H., Lyxell, B., et al. (2013). The Ease of Language Understanding (ELU) model: theoretical, empirical, and clinical advances. Front. Syst. Neurosci. 7:31. doi: 10.3389/fnsys.2013.00031

PubMed Abstract | CrossRef Full Text | Google Scholar

Ronnberg, J., Rudner, M., and Lunner, T. (2014). Comments from Dr. Jerker Ronnberg, Mary Rudner, Thomas Lunner. Int. J. Audiol. 53, 441–442; discussion 444–445.

PubMed Abstract | Google Scholar

Rudner, M., Ng, H. N. E., Rönnberg, N., Mishra, S., Rönnberg, J., Lunner, T., et al. (2011). Cognitive spare capacity as a measure of listening effort. J. Hear. Sci. 1, 47–49.

Google Scholar

Rudner, M., and Lunner, T. (2014). Cognitive spare capacity and speech communication: a narrative overview. Biomed Res. Int. 2014, 869726. doi: 10.1155/2014/869726

PubMed Abstract | CrossRef Full Text | Google Scholar

Salthouse, T. A. (1992). Influence of processing speed on adult age differences in working memory. Acta Psychol. (Amst) 79, 155–170. doi: 10.1016/0001-6918(92)90030-H

PubMed Abstract | CrossRef Full Text | Google Scholar

Scarinci, N., Worrall, L., and Hickson, L. (2009). The ICF and third-party disability: its application to spouses of older people with hearing impairment. Disabil. Rehabil. 31, 2088–2100. doi: 10.3109/09638280902927028

PubMed Abstract | CrossRef Full Text | Google Scholar

Scarinci, N., Worrall, L., and Hickson, L. (2012). Factors associated with third-party disability in spouses of older people with hearing impairment. Ear Hear. 33, 698–708. doi: 10.1097/AUD.0b013e31825aab39

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider, B., Pichora-Fuller, K., and Daneman, M. (2010). “Effects of senescent changes in audition and cognition on spoken language comprehension,” in The Aging Auditory System, eds S. Gordon-Salant, R. D. Frisina, A. N. Popper, and R. R. Fay (New York, NY: Springer), 167–210.

Google Scholar

Shinn-Cunningham, B. G. (2007). “Why hearing impairment may degrade selective attention,” in Auditory Signal Processing in Hearing Impaired Listeners, eds T. Dau, J. M. Buchholz, J. M. Harte, and T. U. Christiansen (Denmark: Marienlyst), 29–31.

Google Scholar

Shinn-Cunningham, B. G., and Best, V. (2008). Selective attention in normal and impaired hearing. Trends Amplif. 12, 283–299. doi: 10.1177/1084713808325306

PubMed Abstract | CrossRef Full Text | Google Scholar

Stam, M., Kostense, P. J., Festen, J. M., and Kramer, S. E. (2013). The relationship between hearing status and the participation in different categories of work: demographics. Work 46, 207–219.

PubMed Abstract | Google Scholar

Stam, M., Kostense, P. J., Lemke, U., Merkus, P., Smit, J. H., Festen, J. M., et al. (2014). Comorbidity in adults with hearing difficulties: which chronic medical conditions are related to hearing impairment? Int. J. Audiol. 53, 392–401. doi: 10.3109/14992027.2013.879340

PubMed Abstract | CrossRef Full Text | Google Scholar

Stephens, D., and Jones, L. (2005). The impact of genetic hearing impairment. London: Whurr.

Google Scholar

Stephens, D., and Kramer, S. E. (2009). Living with Hearing Difficulties: The process of enablement. Chichester: Wiley.

Google Scholar

Strawbridge, W. J., Wallhagen, M. I., Shema, S. J., and Kaplan, G. A. (2000). Negative consequences of hearing impairment in old age: a longitudinal analysis. Gerontologist 40, 320–326. doi: 10.1093/geront/40.3.320

PubMed Abstract | CrossRef Full Text | Google Scholar

Tesser, A., and Schwarz, N. (2000). Blackwell Handbook of Social Psychology: Intraindividual Processes. Oxford: Wiley-Blackwell.

Google Scholar

Tun, P. A. W., and Wingfield, A. (1999). One voice too many: adult age differences in language processing with different types of distracting sounds. J. Gerontol. B Psychol. Sci. Soc. Sci. 54, 317–327. doi: 10.1093/geronb/54B.5.P317

PubMed Abstract | CrossRef Full Text | Google Scholar

Uchino, B. N. (2006). Social support and health: a review of physiological processes potentially underlying links to disease outcomes. J. Behav. Med. 29, 377–387. doi: 10.1007/s10865-006-9056-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Uhlmann, R. F., Larson, E. B., Rees, T. S., Koepsell, T. D., and Duckert, L. G. (1989). Relationship of hearing impairment to dementia and cognitive dysfunction in older adults. JAMA 261, 1916–1919. doi: 10.1001/jama.1989.03420130084028

PubMed Abstract | CrossRef Full Text | Google Scholar

Ullsperger, M., and von Cramon, D.Y. (2006). “Funktionen frontaler Strukturen [Functions of frontal structures],” in Neuropsychologie [Neuropsychology], 2nd Edn, eds H. O. Karnath and P. Thier (Heidelberg: Springer), 479–488.

Google Scholar

Wickens, C. D. (2008). Multiple resources and mental workload. Hum. Factors 50, 449–455. doi: 10.1518/001872008X288394

PubMed Abstract | CrossRef Full Text | Google Scholar

Wingfield, A., (2014). Comment from Dr. Arthur Wingfield. Int. J. Audiol. 53, 442–444; discussion 444–445.

PubMed Abstract | Google Scholar

Wingfield, A. T., and Tun, P. A. (2001). Spoken language comprehension in older adults: interactions between sensory and cognitive change in normal aging. Semin. Hear. 22, 287–301. doi: 10.1055/s-2001-15632

CrossRef Full Text | Google Scholar

World Health Organization. (2001). International Classification of Functioning, Disability And Health, ICF. Geneva: World Health Organization.

Google Scholar

Zekveld, A. A., Rudner, M., Johnsrude, I. S., Festen, J. M., Van Beek, J. H., and Ronnberg, J. (2011). The influence of semantically related and unrelated text cues on the intelligibility of sentences in noise. Ear Hear. 32:e16–e25. doi: 10.1097/AUD.0b013e318228036a

PubMed Abstract | CrossRef Full Text | Google Scholar

Zimprich, D., and Kurtz, T. (2013). Individual differences and predictors of forgetting in old age: the role of processing speed and working memory. Neuropsychol. Dev. Cogn. B Aging Neuropsychol. Cogn. 20, 195–219. doi: 10.1080/13825585.2012.690364

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: communication, hearing impairment, executive functions, cognitive aging, speech comprehension, third-party disability

Citation: Lemke U and Scherpiet S (2015) Oral communication in individuals with hearing impairment—considerations regarding attentional, cognitive and social resources. Front. Psychol. 6:998. doi: 10.3389/fpsyg.2015.00998

Received: 05 March 2015; Accepted: 02 July 2015;
Published: 17 July 2015.

Edited by:

Mary Rudner, Linköping University, Sweden

Reviewed by:

Melanie A. Ferguson, Nottingham University Hospitals NHS Trust, UK
Stig D. Arlinger, Linköping University, Sweden

Copyright © 2015 Lemke and Scherpiet. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ulrike Lemke, Cognitive and Ecological Audiology, Science and Technology, Phonak AG, Laubisrütistrasse 28, CH-8712 Stäfa, Switzerland, ulrike.lemke@phonak.com

These authors have contributed equally to this work.

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.