RESUMO
OBJECTIVE: Hearing loss may negatively impact satisfaction with health care via patient-provider communication barriers and may be amenable to hearing care treatment. STUDY DESIGN: Cross-sectional. SETTING: National Health Interview Survey, a nationally representative survey of noninstitutionalized US residents, 2013 to 2018 pooled cycles. METHODS: Participants described satisfaction with health care in the past year, categorized as optimal (very satisfied) versus suboptimal (satisfied, dissatisfied, very dissatisfied) satisfaction. Self-report hearing without hearing aids (excellent, good, a little trouble, moderate trouble, a lot of trouble) and hearing aid use (yes, no) were collected. Weighted Poisson regression models adjusted for sociodemographic and health covariates were used to estimate prevalence rate ratios (PRRs) of satisfaction with care by hearing loss and hearing aid use. RESULTS: Among 137,216 participants (mean age 50.9 years, 56% female, 12% black), representing 77.2 million Americans in the weighted model, 19% reported trouble hearing. Those with good (PRR = 1.20, 95% confidence interval [CI]: 1.18-1.23), a little trouble (PRR = 1.27, 95% CI, 1.23-1.31), moderate trouble (PRR = 1.29, 95% CI, 1.24-1.35), and a lot of trouble hearing (PRR = 1.26, 95% CI, 1.18-1.33) had a higher prevalence rate of suboptimal satisfaction with care relative to those with excellent hearing. Among all participants with trouble hearing, hearing aid users had a 17% decrease in the prevalence rate of suboptimal satisfaction with care (PRR = 0.83, 95% CI, 0.78-0.88) compared to nonusers. CONCLUSION: Hearing loss decreases patient satisfaction with health care, which is tied to Medicare hospital reimbursement models. Hearing aid use may improve patient-provider communication and patient satisfaction, although prospective studies are warranted to truly establish their protective effect.
Assuntos
Surdez , Auxiliares de Audição , Perda Auditiva , Humanos , Feminino , Idoso , Estados Unidos , Pessoa de Meia-Idade , Masculino , Estudos Transversais , Medicare , Perda Auditiva/epidemiologia , Perda Auditiva/terapia , Inquéritos e Questionários , Audição , Satisfação do PacienteRESUMO
Objective: To describe the association between midlife carotid atherosclerosis and late-life hearing loss among participants in the Atherosclerosis Risk in Communities (ARIC) study. Design, Setting, and Participants: For this cross-sectional study and temporal analysis of a cohort within the ongoing ARIC prospective cohort study, participants were recruited from 4 communities in the US. The analysis evaluated information on mean carotid intima-media thickness (cIMT), from visit 1 (1987-1989) to visit 4 (1994-1996), carotid plaque presence at visit 4, and audiometric data from visit 6 (2016-2017). The cIMT measures were calculated from ultrasonography recordings by trained readers at the ARIC Ultrasound Reading Center. At each visit, cIMT was computed as the average of 3 segments: the distal common carotid, the carotid artery bifurcation, and the proximal internal carotid arteries. Presence of carotid plaque was determined based on an abnormal wall thickness, shape, or wall texture. Audiometric 4-frequency pure tone average (PTA) was measured and calculated for the better-hearing ear and modeled as a continuous variable. Linear regression estimated the association between cIMT and carotid plaque with hearing, adjusting for age, sex, race and study center, education level, body mass index (calculated as weight in kilograms divided by height in meters squared), smoking status, hypertension, cholesterol levels, diabetes, and exposure to occupational noise. Missing data (exposure and covariates) were imputed with multiple imputation by chained equations. Data analyses were performed from April 6 to July 13, 2022. Main Outcomes and Measures: Hearing loss assessed using 4-frequency (0.5, 1.0, 2.0, and 4.0 kilohertz) PTA for both ears and carotid plaque at visit 4 and mean cIMT from visit 1 to visit 4. Results: Among a total of 3594 participants (mean [SD] age at visit 4, 59.4 [4.6] years; 2146 [59.7%] female; 819 [22.8%] Black and 2775 [77.2%] White individuals), fully adjusted models indicated that an additional 0.1 mm higher mean cIMT was associated with 0.59 dB (95% CI, 0.17 to 1.02 dB) higher PTA. Compared with participants without carotid plaque, plaque presence was associated with 0.63 dB (95% CI, -0.57 to 1.84 dB) higher PTA. Conclusion and Relevance: The findings of this cross-sectional study with temporal analyses of a cohort with the ongoing ARIC study found that subclinical atherosclerosis in midlife was associated with worse hearing in older adulthood. Prevention and control of carotid atherosclerosis during middle age may positively affect the hearing health of older adults.
Assuntos
Aterosclerose , Doenças das Artérias Carótidas , Surdez , Perda Auditiva , Placa Aterosclerótica , Pessoa de Meia-Idade , Humanos , Feminino , Idoso , Pré-Escolar , Masculino , Estudos Transversais , Espessura Intima-Media Carotídea , Estudos Prospectivos , Fatores de Risco , Doenças das Artérias Carótidas/diagnóstico por imagem , Doenças das Artérias Carótidas/epidemiologia , Aterosclerose/diagnóstico por imagem , Aterosclerose/epidemiologia , Placa Aterosclerótica/diagnóstico por imagem , Placa Aterosclerótica/epidemiologia , Perda Auditiva/epidemiologia , Perda Auditiva/etiologia , Artérias Carótidas/diagnóstico por imagemRESUMO
Purpose: Objective examination of relationships among visual, hearing, and olfactory function may yield mechanistic insights and inform our understanding of the burden of multiple-sensory impairments. Methods: This cross-sectional study capitalized on continuous measures of visual acuity (VA), contrast sensitivity, pure tone audiometry, Quick Speech-in-Noise (QuickSIN), and Sniffin' Sticks from a subset of ARIC participants at two community sites (EyeDOC Study, 2017-2019). Scales of all measures were aligned such that higher values indicated greater impairment. Intersensory bivariate associations were assessed graphically, and correlations assessed using Kendall's tau. Intersensory associations, independent of age, education, smoking, diabetes, and hypertension, were examined using linear regression. Analyses were stratified by community/race (Washington County/White vs Jackson/Black) and sex (men vs women) to explore community-sex heterogeneity. Results: We included 834 participants (mean age, 79 years); 39% were from Jackson and 63% females. We found weak intersensory correlations (tau generally ≤0.15). In the demographics-adjusted regression models, results were heterogeneous across communities and sex. Worse near VA, contrast sensitivity, and olfaction were associated with worse QuickSIN and worse near VA was associated with worse olfaction in some but not all community/race-sex groups (e.g., Jackson/Black women, 0.1 logMAR worse near VA was associated with 0.27 units increase in QuickSIN [95% confidence interval, 0.10-0.45]). Associations were modestly attenuated by adjustment for the shared risk factors of smoking, diabetes, and hypertension. Conclusions: Visual dysfunction showed little or no association with hearing or olfaction impairments, suggesting a modest role for shared risk factors. Translational Relevance: Visually impaired individuals have only a modestly higher risk of other sensory impairment.
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Aterosclerose , Diabetes Mellitus , Hipertensão , Masculino , Humanos , Feminino , Idoso , Estudos Transversais , População Negra , Hipertensão/epidemiologia , Diabetes Mellitus/epidemiologiaRESUMO
IMPORTANCE: The implications of cigarette smoking and smoking cessation for hearing impairment remain unknown. Many studies on this topic have failed to account for attrition among smokers in their findings. OBJECTIVE: To assess the association of cigarette smoking patterns with audiometric and speech-in-noise hearing measures among participants of the Atherosclerosis Risk in Communities Study. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included participants of the Atherosclerosis Risk in Communities Study from 4 US communities. The analysis includes data from visit 1 (1987-1989) through visit 6 (2016-2017); data were analyzed from March 16 through June 25, 2021. Audiometric hearing and speech-in-noise testing was offered to all participants at visit 6. Participants with incomplete audiometric data or missing data for educational level, body mass index, drinking status, a diabetes or hypertension diagnosis, or occupational noise were excluded. In addition, individuals were excluded if they self-reported as having other than Black or White race and ethnicity, or if they self-reported as having Black race or ethnicity and lived in 2 predominantly White communities. MAIN OUTCOMES AND MEASURES: Smoking behavior was classified from visit 1 (1987-1989) to visit 6 (2016-2017) using group-based trajectory modeling based on self-reported smoking status at each clinic visit. Hearing was assessed at visit 6. An audiometric 4-frequency (0.5, 1, 2, 4 kHz) pure-tone average (PTA) was calculated for the better-hearing ear and modeled as a continuous variable. Speech-in-noise perception was assessed via the Quick Speech-in-Noise Test (QuickSIN) and modeled continuously. Attrition during the 30 years of follow-up was addressed by inverse probability of attrition weighting. RESULTS: A total of 3414 participants aged 72 to 94 years (median [IQR] age, 78.8 [76.0-82.9] years; 2032 [59.5%] women) when hearing was measured at visit 6 (2016-2017) were included in the cohort; 766 (22.4%) self-identified as Black and 2648 (77.6%) as White individuals. Study participants were classified into 3 smoking groups based on smoking behavior: never or former smoking at baseline (n = 2911 [85.3%]), quit smoking during the study period (n = 368 [10.8%]), and persistent smoking (n = 135 [4.0%]). In fully adjusted models, persistent smoking vs never or former smoking was associated with an average 2.69 (95% CI, 0.56-4.81) dB higher PTA (worse hearing) and 1.42 (95% CI, -2.29 to -0.56) lower QuickSIN score (worse performance). Associations were stronger when accounting for informative attrition during the study period (3.53 [95% CI, 1.14-5.93] dB higher PTA; 1.46 [95% CI, -2.52 to -0.41] lower QuickSIN scores). Smoking cessation during the study (vs never or former smoking) was not associated with changes in hearing. CONCLUSIONS AND RELEVANCE: In this cross-sectional study, persistent smoking was associated with worse audiometric hearing and speech-in-noise perception. Hearing measures among participants who quit smoking during the study period did not differ from those for never or former smokers, indicating that smoking cessation (as opposed to persistent smoking) may have benefits for hearing health.