The Association Between Cardiovascular Disease and Cochlear Function in Older Adults

University of Wisconsin Medical School, Madison, USA.
Journal of Speech Language and Hearing Research (Impact Factor: 2.07). 05/2005; 48(2):473-81. DOI: 10.1044/1092-4388(2005/032)
Source: PubMed


The purpose of this research was to evaluate the relation between self-reported cardiovascular disease (CVD) and cochlear function in older adults. The Epidemiology of Hearing Loss Study (EHLS) is an ongoing population-based study of hearing loss and its risk factors in Beaver Dam, Wisconsin. As part of the EHLS questionnaire, participants were asked about their cardiovascular medical history. CVD history was determined from questions regarding history of angina, myocardial infarction (MI), and stroke. Questions about the use of antihypertensive medication and blood pressure measurements determined the presence or absence of hypertension. Among the audiologic measures completed were distortion product otoacoustic emissions (DPOAEs). Cochlear function was measured using DPOAEs and participants were categorized as having (a) cochlear impairment, (b) possible cochlear impairment, or (c) no cochlear impairment. There were 1,501 participants with complete CVD and DPOAE data from the 1998-2000 examination phase. Women with a self-reported history of MI were twice as likely (age-adjusted odds ratio [OR] = 2.00, 95% confidence interval [CI] = 1.15-3.46) to have cochlear impairment than women without a history of MI. This association was not significant in men (age-adjusted OR = 0.98, 95% CI = 0.61-1.58). Additionally, no other CVD variables were associated with cochlear impairment. This study provides data on a possible sex-specific association between CVD and DPOAEs in older adults.

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    • "[3], as well as cardiovascular disease (OR = 2.0, 95% CI:1.15–3.46) [4] and diabetes mellitus (p<0.05) [5]. "
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    ABSTRACT: Age-related hearing impairment (ARHI) affects 25-40% of individuals over the age of 65. Despite the high prevalence of this complex trait, ARHI is still poorly understood. We hypothesized that variance in hearing ability with age is largely determined by genetic factors. We collected audiologic data on females of Northern European ancestry and compared different audiogram representations. A web-based speech-to-noise ratio (SNR) hearing test was compared with pure-tone thresholds to see if we could determine accurately hearing ability on people at home and the genetic contribution to each trait compared. Volunteers were recruited from the TwinsUK cohort. Hearing ability was determined using pure-tone audiometry and a web-based hearing test. Different audiogram presentations were compared for age-correlation and reflection of audiogram shape. Using structural equation modelling based on the classical twin model the heritability of ARHI, as measured by the different phenotypes, was estimated and shared variance between the web-based SNR test and pure-tone audiometry determined using bivariate modelling. Pure-tone audiometric data was collected on 1033 older females (age: 41-86). 1970 volunteers (males and females, age: 18-85) participated in the SNR. In the comparison between different ARHI phenotypes the difference between the first two principle components (PC1-PC2) best represented ARHI. The SNR test showed a sensitivity and specificity of 89% and 80%, respectively, in comparison with pure-tone audiogram data. Univariate heritability estimates ranged from 0.70 (95% CI: 0.63-0.76) for (PC1-PC2) to 0.56 (95% CI: 0.48-0.63) for PC2. The genetic correlation of PC1-PC2 and SNR was -0.67 showing that the 2 traits share variances attributed to additive genetic factors. Hearing ability showed considerable heritability in our sample. We have shown that the SNR test provides a useful surrogate marker of hearing. This will enable a much larger sample to be collected at a fraction of the cost, facilitating future genetic association studies.
    PLoS ONE 04/2012; 7(4):e35500. DOI:10.1371/journal.pone.0035500 · 3.23 Impact Factor
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    • "Although age-related hearing loss, or presbyacusis, has been regarded as a part of normal aging, growing scientific evidence suggests that hearing loss may be another preventable age-related disorder such as atherosclerosis, cardiovascular disease or osteoarthritis (Cruickshanks et al., 2010). Human studies have demonstrated cross-sectional associations between hearing loss and modifiable factors including education, smoking, and occupation (Cruickshanks et al., 1998a; Popelka et al., 2000; Helzner et al., 2005; Torre et al., 2005. Agrawal et al., 2008). "
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    ABSTRACT: The purpose of this study was to determine the 10-yr cumulative incidence of hearing impairment and associations of education, occupation and noise exposure history with the incidence of hearing impairment in a population-based cohort study of 3753 adults ages 48-92 yr at the baseline examinations during 1993-1995 in Beaver Dam, WI. Hearing thresholds were measured at baseline, 2.5 yr-, 5 yr-, and 10-yr follow-up examinations. Hearing impairment was defined as a pure-tone average (PTA)>25 dB HL at 500, 1000, 2000, and 4000 Hz. Demographic characteristics and occupational histories were obtained by questionnaire. The 10-yr cumulative incidence of hearing impairment was 37.2%. Age (5 yr; Hazard Ratio (HR)=1.81), sex (M vs W; HR=2.29), occupation based on longest held job (production/operations/farming vs others; HR=1.34), marital status (unmarried vs married; HR=1.29) and education (<16 vs 16+yr; HR=1.40) were associated with the 10 yr incidence. History of noisy jobs was not associated with the 10-yr incidence of hearing impairment. The risk of hearing impairment was high, with women experiencing a slightly later onset. Markers of socioeconomic status were associated with hearing impairment, suggesting that hearing impairment in older adults may be associated with modifiable lifestyle and environmental factors, and therefore, at least partially preventable.
    Hearing research 10/2009; 264(1-2):3-9. DOI:10.1016/j.heares.2009.10.008 · 2.97 Impact Factor
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    • "They also reported an inverse relationship between high-density lipoprotein (HDL) levels and hearing thresholds, suggesting a protective effect of HDL on hearing thresholds. Torre et al. (2005) found a significant association between myocardial infarction and hearing loss in females, but not in males. Brant et al. (1996) reported an association between hearing threshold and systolic blood pressure. "
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    ABSTRACT: A multicenter study was set up to elucidate the environmental and medical risk factors contributing to age-related hearing impairment (ARHI). Nine subsamples, collected by nine audiological centers across Europe, added up to a total of 4,083 subjects between 53 and 67 years. Audiometric data (pure-tone average [PTA]) were collected and the participants filled out a questionnaire on environmental risk factors and medical history. People with a history of disease that could affect hearing were excluded. PTAs were adjusted for age and sex and tested for association with exposure to risk factors. Noise exposure was associated with a significant loss of hearing at high sound frequencies (>1 kHz). Smoking significantly increased high-frequency hearing loss, and the effect was dose-dependent. The effect of smoking remained significant when accounting for cardiovascular disease events. Taller people had better hearing on average with a more pronounced effect at low sound frequencies (<2 kHz). A high body mass index (BMI) correlated with hearing loss across the frequency range tested. Moderate alcohol consumption was inversely correlated with hearing loss. Significant associations were found in the high as well as in the low frequencies. The results suggest that a healthy lifestyle can protect against age-related hearing impairment. Electronic supplementary material The online version of this article (doi: 10.1007/s10162-008-0123-1) contains supplementary material, which is available to authorized users.
    Journal of the Association for Research in Otolaryngology 06/2008; 9(3):264-76; discussion 261-3. DOI:10.1007/s10162-008-0123-1 · 2.60 Impact Factor
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