The everyday acoustic environment and its association with human heart rate: evidence from real-world data logging with hearing aids and wearables

Christensen, Jeppe Høy; Saunders, Gabrielle H.; Porsbo, Michael; Pontoppidan, Niels Henrik

doi:10.1101/2020.07.08.180869

Cited by 2 publications

(8 citation statements)

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Section: Introduction/backgroundmentioning

confidence: 99%

“…Specifically, the study by Christensen et al (2021) found that higher ambient sound pressure levels were associated with increases in HR, while El Aarbaoui et al (2017) further documented that higher sound pressure levels also relate to decreases in HR variability. Moreover, increases in ambient signal-to-noise ratio were linked to decreases in HR, particularly in noisy environments (Christensen et al, 2021). In their respective studies, Christensen et al (2021) used hearing aids and wrist-worn wearables to collect real-world environmental sound and HR data, while El Aarbaoui et al ( 2017) had participants wear shoulder-mounted noise dosimeters and medical-grade heart-rate monitoring devices.…”

Section: Introduction/backgroundmentioning

confidence: 99%

“…Moreover, increases in ambient signal-to-noise ratio were linked to decreases in HR, particularly in noisy environments (Christensen et al, 2021). In their respective studies, Christensen et al (2021) used hearing aids and wrist-worn wearables to collect real-world environmental sound and HR data, while El Aarbaoui et al ( 2017) had participants wear shoulder-mounted noise dosimeters and medical-grade heart-rate monitoring devices. However, the effect sizes reported in the two studies are almost identical with 0.154% increase in HR per 1 dB SPL (El Aarbaoui and Chaix, 2019) vs. 0.141% increase in HR per 1 dB SPL (Christensen et al, 2021), indicating that acoustic data-logging with HAs exhibit high face validity.…”

Section: Introduction/backgroundmentioning

confidence: 99%

“…Thus, building upon the findings of Christensen et al (2021), the present study aims to explore the association between environmental acoustic factors, physiological responses (i.e., HR), and self-reported listening experiences and intentions via EMA.…”

Section: Introduction/backgroundmentioning

confidence: 99%

“…Previous research has shown that acoustic factors are related to both self-reported listening experiences (Andersson et al, 2021) and momentary HR (Christensen et al, 2021), but there is lack of evidence about how listening intentions impact these associations (von Gablenz et al, 2021). Thus, the aim was to link acoustic and HR data to self-reported listening experiences and intentions to enable a broader understanding of how such factors interact in relation to HA outcome.…”

Section: Introduction/backgroundmentioning

confidence: 99%

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Ecological momentary assessments of real-world speech listening are associated with heart rate and acoustic condition

Andersson,

Neher,

Christensen

2023

Front. Audiol. Otol.

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Background and aimEcological momentary assessment (EMA) can provide insights into the real-world auditory ecology of hearing aid (HA) users. To better understand what factors, influence the real-world listening experiences of this population, more detailed models of human auditory ecology and behavior are needed. Laboratory studies suggest that physiological measures are sensitive to different listening experiences, as changes in physiological signals (e.g., pupil dilation) have been associated with effortful listening. In addition, real-world heart rate (HR) has been shown to be sensitive to acoustic influences (e.g., sound pressure level, SPL, and signal-to-noise ratio, SNR). Here, we hypothesized that including physiological and acoustic data in models predicting EMA ratings can provide additional insights into real-world listening outcome. To test this, we collected and analyzed longitudinal data from individuals with normal hearing.MethodFifteen normal-hearing adults completed smartphone-based EMAs regarding their listening experiences during a 2-week period. When completing the EMAs, they had to indicate their current listening intent. The participants received a single HA each that they fastened to their collars. The HAs were used to collect continuous SPL and SNR data in the participants' daily environments. Wristbands worn by the participants were used to collect continuous HR data.ResultsLinear mixed-effects models with SPL, SNR, and HR as fixed effects and participant as random intercept showed that higher SPL and lower SNR were associated with lower (poorer) EMA ratings. Including listening intent in the analyses revealed increased HR in “speech communication” and “focused listening” situations to be associated with better EMA ratings relative to situations without any specific listening intent.ConclusionsOur findings indicate that including in-situ HR and acoustic measurements can improve the prediction of real-world listening experiences. Further, they suggest that listening intent significantly impacts self-reported listening experiences and their association with physiological responses. Specifically, better listening experiences in speech communication situations are associated with higher HR.

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Section: Introduction/backgroundmentioning

confidence: 99%