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Background and Objectives: Prior investigations have not considered whether poor vision biases cognitive testing. However, such research is vital given increasing evidence that vision impairment (VI) may be an important modifiable risk factor for dementia, particularly in low- and middle-income settings where the prevalence of VI is high. Research Design and Methods: This study employed data from 3 784 participants in Wave 1 of the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD) who underwent both visual acuity and cognitive function testing. We used multiple indicators and multiple causes models to assess differential item functioning (DIF; eg, bias) in cognitive testing by objectively measured distance and near VI. Multivariable linear regression was used to model the association between VI and cognitive factor scores before and after DIF adjustment. Analyses were performed for general cognition and separate cognitive domains, corresponding to memory, language/fluency, executive functioning, and visuospatial performance. Models were adjusted for demographic, health, and socioeconomic covariates. Results: Participants in our sample were 60 and older. Most participants with VI were 60-69 years old (59.6%) and 50.8% were female. Individuals experiencing both distance and near VI tended to be older, have lower educational attainment, be married, reside in rural settings, and belong to lower consumption and BMI categories. Both distance and near VI were associated with poorer cognition before and after DIF-adjustment. Differences between DIF-unadjusted and -adjusted scores were small compared to the standard error of measurement, indicating no evidence of meaningful measurement differences by VI. Discussion and Implications: In well-conducted large-scale surveys, bias in cognitive testing due to VI is likely minimal. Findings strengthen previous evidence on the association between VI and dementia by showing that such associations are unlikely to be attributable to vision-related measurement error in the assessment of cognitive functioning.

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BACKGROUND: The Aging and Cognitive Health Evaluation in Elders (ACHIEVE) Study was designed to determine the effects of a best-practice hearing intervention on cognitive decline among community-dwelling older adults. Here, we conducted a secondary analysis of the ACHIEVE Study to investigate the effect of hearing intervention on self-reported communicative function. METHODS: The ACHIEVE Study is a parallel-group, unmasked, randomized controlled trial of adults aged 70-84 years with untreated mild-to-moderate hearing loss and without substantial cognitive impairment. Participants were randomly assigned (1:1) to a hearing intervention (audiological counseling and provision of hearing aids) or a control intervention of health education (individual sessions with a health educator covering topics on chronic disease prevention) and followed semiannually for 3 years. Self-reported communicative function was measured with the Hearing Handicap Inventory-Elderly Screening version (HHIE-S, range 0-40, higher scores indicate greater impairment). Effect of hearing intervention versus control on HHIE-S was analyzed through an intention-to-treat model controlling for known covariates. RESULTS: HHIE-S improved after 6-months with hearing intervention compared to control, and continued to be better through 3-year follow-up. We estimated a difference of -8.9 (95% CI: -10.4, -7.5) points between intervention and control groups in change in HHIE-S score from baseline to 6 months, -9.3 (95% CI: -10.8, -7.9) to Year 1, -8.4 (95% CI: -9.8, -6.9) to Year 2, and - 9.5 (95% CI: -11.0, -8.0) to Year 3. Other prespecified sensitivity analyses that varied analytical parameters did not change the observed results. CONCLUSIONS: Hearing intervention improved self-reported communicative function compared to a control intervention within 6 months and with effects sustained through 3 years. These findings suggest that clinical recommendations for older adults with hearing loss should encourage hearing intervention that could benefit communicative function and potentially have positive downstream effects on other aspects of health.

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Importance: Vision impairment is a potentially modifiable risk factor for dementia. Although few prior studies have estimated the contribution of vision impairments to dementia, none have reported on multiple objectively measured vision impairments (eg, distance and near visual acuity and contrast sensitivity) in a nationally representative sample of older adults. Objective: To quantify population attributable fractions of dementia from objective vision impairments in older adults, stratified by age, self-reported sex, self-reported race and ethnicity, and educational attainment. Design, Setting, and Participants: This was a population-based cross-sectional analysis in the National Health and Aging Trends Study, which gathers nationally representative information on Medicare beneficiaries aged 65 years and older in the US. A total of 2767 community-dwelling adults eligible for vision and cognitive testing in 2021 were included. Data were analyzed from April to August 2023. Exposures: Near and distance visual acuity impairments were each defined as >0.30 logMAR. Contrast sensitivity impairment was defined as <1.55 logCS. At least 1 vision impairment was defined as impairment to either near acuity, distance acuity, or contrast sensitivity. Main Outcomes and Measures: Adjusted population attributable fractions of prevalent dementia, defined using a standardized algorithmic diagnosis (≥1.5 SDs below mean on 1 or more cognitive domains, self- or proxy-reported dementia diagnosis, or the Ascertain Dementia-8 Dementia Screening Interview Score of probable dementia). Results: The survey-weighted prevalence of vision impairment among participants aged 71 and older (1575 [54.7%] female and 1192 [45.3%] male; 570 [8.0%] non-Hispanic Black, 132 [81.7%] Hispanic, 2004 [81.7%] non-Hispanic White, and 61 [3.3%] non-Hispanic other) was 32.2% (95% CI, 29.7-34.6). The population attributable fraction of prevalent dementia from at least 1 vision impairment was 19.0% (95% CI, 8.2-29.7). Contrast sensitivity impairment yielded the strongest attributable fraction among all impairments (15.0%; 95% CI, 6.6-23.6), followed by near acuity (9.7%; 95% CI, 2.6-17.0) and distance acuity (4.9%; 95% CI, 0.1-9.9). Population attributable fractions from at least 1 impairment were highest among participants aged 71 to 79 years (24.3%; 95% CI, 6.6-41.8), female (26.8%; 95% CI, 12.2-39.9), and non-Hispanic White (22.3%; 95% CI, 9.6-34.5) subpopulations, with estimates consistent across educational strata. Conclusions and Relevance: The population attributable fraction of dementia from vision impairments ranged from 4.9%-19.0%. While not proving a cause-and-effect relationship, these findings support inclusion of multiple objective measures of vision impairments, including contrast sensitivity and visual acuity, to capture the total potential impact of addressing vision impairment on dementia.

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BACKGROUND: Fatigue is a common complaint among older adults with hearing loss. The impact of addressing hearing loss on fatigue symptoms has not been studied in a randomized controlled trial. In a secondary analysis of the Aging and Cognitive Health Evaluation in Elders (ACHIEVE) study, we investigated the effect of hearing intervention versus health education control on 3-year change in fatigue in community-dwelling older adults with hearing loss. METHODS: Participants aged 70-84 years old with untreated hearing loss recruited across 4 study sites in the United States (Forsyth County, North Carolina; Jackson, Mississippi; Minneapolis, Minnesota; Washington County, Maryland) were randomized (1:1) to hearing intervention or health education control and followed for 3 years. Three-year change in fatigue symptoms was measured by 2 instruments (RAND-36 and PROMIS). We estimated the intervention effect as the difference in the 3-year change in fatigue between intervention and control groups using a linear mixed-effects model under the intention-to-treat principle. RESULTS: Participants (n = 977) had a mean age (SD) of 76.8 (4.0) years, were 53.5% female and 87.8% White. Over 3 years, a beneficial effect of the hearing intervention versus health education control on fatigue was observed using the RAND-fatigue score (ß = -0.12 [95% CI: -0.22, -0.02]). Estimates also suggested beneficial effect of hearing intervention on fatigue when measured by the PROMIS-fatigue score (ß = -0.32 [95% CI: -1.15, 0.51]). CONCLUSIONS: Our findings suggest that hearing intervention may reduce fatigue over 3 years among older adults with hearing loss.

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Importance: Hearing loss may contribute to poor functional status via cognitive impairment and social isolation. Hearing aids may play a protective role by attenuating these downstream outcomes. However, population-based evidence is lacking. Objective: To examine the association of hearing loss and hearing aids with functional status. Design, Setting, and Participants: This cross-sectional (2016-2017) and longitudinal (2016-2022) analysis of data from the Atherosclerosis Risk in Communities cohort study included older, community-dwelling adults with complete data. Data were analyzed from June to December 2023. Exposures: The better-hearing ear's pure tone average (BPTA) at speech frequencies (0.5-4 kHz) was modeled categorically (no [BPTA ≤25 dB], mild [26-40 dB], and moderate or greater hearing loss [>40 dB]). Hearing aid use was self-reported. Main Outcomes and Measures: Difficulties in activities of daily living (ADLs; eg, dressing and eating), instrumental activities of daily living (IADLS; eg, household chores and meal preparation), and heavier tasks (eg, walking a quarter of a mile) were self-reported at visit 6. The ability to perform usual activities, walk a half mile, walk up and down stairs, and do heavy housework without help were collected in follow-up surveys. Linear and logistic regression models were used that were adjusted for sociodemographic and health covariates. Results: Among 3142 participants (mean [SD] age, 79.3 [4.6] years; 1828 women [58.2%]), 1013 (32.2%) had no hearing loss, 1220 (38.8%) had mild hearing loss, and 909 (29.0%) had moderate or greater hearing loss. Moderate or greater hearing loss was cross-sectionally associated with difficulty in 1 or more ADLs (odds ratio [OR], 1.27; 95% CI, 1.02-1.58), IADLs (OR, 1.34; 95% CI, 1.05-1.71), and heavier tasks (OR, 1.29; 95% CI, 1.04-1.62) compared with no hearing loss. Over time (mean [SD] follow-up, 1.9 [1.8] years), moderate or greater hearing loss was associated with a faster decline in the number of activities participants were able to do (ß = -0.07 per year; 95% CI, -0.09 to -0.06) and greater odds of reporting inability to do 1 or more of the 4 activities (OR, 1.14; 95% CI, 1.05-1.24). Hearing aid users and nonusers did not differ. Conclusions and Relevance: The results of this study suggest that moderate or greater hearing loss was associated with functional difficulties and may contribute to a faster decline in function longitudinally independent of sociodemographic and health covariates. Hearing aids did not change the association among those with hearing loss.

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BACKGROUND: Hearing loss is prevalent and consequential but under-diagnosed and managed. The Medicare Annual Wellness Visit (AWV) health risk assessment elicits patient-reported hearing concerns but whether such information affects documentation, diagnosis, or referral is unknown. METHODS: We use 5 years of electronic medical record (EMR) data (2017-2022) for a sample of 13,776 older primary care patients. We identify the first (index) AWV indication of hearing concerns and existing and subsequent hearing loss EMR diagnoses (visit diagnoses or problem list diagnoses) and audiology referrals. For a 20% random sample of AWV notes (n = 474) we compared hearing loss EMR diagnoses to documentation of (1) hearing concerns, (2) hearing loss/aid use, and (3) referrals for hearing care. RESULTS: Of 3845 (27.9%) older adults who identified hearing concerns (mean age 79.1 years, 57% female, 75% white) 24% had an existing hearing diagnosis recorded. Among 474 patients with AWV clinical notes reviewed, 90 (19%) had an existing hearing loss diagnosis. Clinicians were more likely to document hearing concerns or hearing loss/aid use for those with (vs. without) an existing EMR diagnosis (50.6% vs. 35.9%, p = 0.01; 68.9% vs. 37.5%, p < 0.001, respectively). EMR diagnoses of hearing loss were recorded for no more than 40% of those with indicated hearing concerns. Among those without prior diagnosis 38 (9.9%) received a hearing care referral within 1 month. Subgroup analysis suggest greater likelihood of documenting hearing concerns for patients age 80+ (OR:1.51, 95% confidence interval [CI]: 1.03, 2.19) and decreased likelihood of documenting known hearing loss among patients with more chronic conditions (OR: 0.49, 95% CI: 0.27, 0.9), with no differences observed by race. CONCLUSION: Documentation of hearing loss in EMR and AWV clinical notes is limited among older adults with subjective hearing concerns. Systematic support and incorporation of hearing into EMR and clinical notes may increase hearing loss visibility by care teams.

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To investigate the association between sensory loss and the timing and type of self-reported departures from the labor force, via retirement or disability, we used data from the Health and Retirement Study, cycles 2004-2018. Based on self-reported sensory loss, we classified individuals into four groups: no sensory loss, hearing loss only, vision loss only, and dual sensory loss (vision and hearing loss). We assumed that older adults could leave the labor force either by retirement or due to disability. Because once one type of exit is observed the other type cannot be observed, we implemented a competing risk approach to estimate the instantaneous rate of departure (sub-distribution hazard rate) for leaving the labor force due to disability, treating retirement as a competing risk, and for departures via retirement, with disability as the competing risk. We found that compared to older adults with no sensory loss, adults with vision loss are at a higher risk for leaving the labor force via disability (when treating retirement as a competing risk). Compared to no sensory loss, hearing loss was associated with a higher risk for retirement in models treating disability as a competing risk. Given the differences between disability and retirement benefits (before and after retirement age), policies intended to keep people with sensory loss from early labor force departures, such as accommodations in the workplace and/or hearing and vision care coverage, might contribute to better retiring conditions and healthy aging among older adults with sensory loss.

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PURPOSE: Older adults with communication disabilities (CDs) experience barriers to receiving care and face a paucity of accommodations for their disability. Utilizing someone that supports communication with healthcare providers (communication support persons) may be a way that this group self-supports their disability. We examined if this utilization was independently associated with CDs among older adults. We also sought to understand if socioeconomic factors were associated with utilization. METHODS: We used the 2015 National Health and Aging Trends Survey (NHATS) to conduct a cross-sectional analysis of Medicare beneficiaries (n = 5954) with functional hearing, expressive, or cognitive difficulties. We calculated a weighted, population prevalence and an adjusted prevalence ratio (APR) controlling for sociodemographic, health and other disability factors. RESULTS: Among community dwelling older adults, having CDs was associated with higher utilization of a communication support person at medical visits (APR: 1.41 [CI: 1.27 - 1.57]). Among adults with CDs, Black adults and women had lower levels of utilization as compared to White adults and men, respectively. CONCLUSION: Communication support persons may be a way that older adults with CDs self-support their disability. However, not all older adults with CDs bring someone and variation by social factors could suggest that unmet support needs exist.

Over half of older adults with communication disabilities do not utilize a communication support person at doctors' visits, and utilization differs by race and gender.Rehabilitation professionals should educate their older adult patients with communication disabilities on this practice and collaborate with speech-language pathologists (SLPs) and audiologists (AuDs) on how to accommodate this population's disability.SLPs and AuDs can directly train support persons, other rehabilitation professionals, and physicians on accommodating these patients. For patients who don't bring a support person, SLPs and AuDs can plan alternative communication disability supports to use in healthcare settings, so that all older adults with CDs can equitably access their healthcare.

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Lung carcinoid tumours are neuroendocrine neoplasms originating from the bronchopulmonary tract's neuroendocrine cells, accounting for only 1%-3% of all lung cancers but 30% of all neuroendocrine tumours. The incidence of lung carcinoids, both typical and atypical, has been increasing over the years due to improved diagnostic methods and increased awareness among clinicians and pathologists. The most recent WHO classification includes a subgroup of lung carcinoids with atypical morphology and higher mitotic count and/or Ki67 labelling index. Despite appropriate surgery, the 5-year survival rate for atypical carcinoids barely exceeds 50%-70%. The role of adjuvant therapy in lung carcinoids is not well-defined, and clinical decisions are generally based on the presence of high-risk features. Long-term follow-up is essential to monitor for recurrence, although the optimal follow-up protocol remains unclear. To address the lack of consensus in clinical management decisions, the European Neuroendocrine Tumor Society (ENETS) initiated a survey among 20 expert centres. The survey identified varied opinions on approaches to imaging, surgery, use of adjuvant therapy, and follow-up protocols. Notably, the absence of dedicated multidisciplinary lung neuroendocrine tumour boards in some centres was evident. Experts agreed on the need for a prospective adjuvant trial in high-risk patients, emphasizing the feasibility of such a study. In conclusion, the study highlights the need for a more uniform adoption of existing guidelines in the management of lung carcinoid tumours and emphasizes the importance of international collaboration to advance research and patient care. Close collaboration between healthcare providers and patients is vital for effective long-term surveillance and management of these rare tumours.

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BACKGROUND: Hearing loss is associated with restricted physical activity (PA) and impaired physical functioning, yet the relationship between severity of hearing impairment (HI) and novel PA measures in older adults with untreated HI is not well understood. METHODS: Analyses included 845 participants aged ≥70 years (mean = 76.6 years) with a better-hearing ear pure-tone average (PTA) ≥30 and <70 dB in the Aging and Cognitive Health Evaluation in Elders (ACHIEVE) study who wore an ActiGraph accelerometer for 7 days. Physical functioning measures included grip strength and the Short Physical Performance Battery (SPPB). Linear regression models estimated the association by HI level (moderate or greater [PTA ≥ 40 dB] vs mild [PTA < 40 dB]) and continuous hearing with total daily activity counts, active minutes/day, activity fragmentation, grip strength, and gait speed. Logistic regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs) of poor performance on the SPPB (≤6) and its subtests (≤2). Mixed-effects models estimated differences by HI level in activity by time of day. RESULTS: Participants with moderate or greater HI had poorer physical functioning, particularly balance (OR = 2.17, 95% CI = 1.29-3.67), versus those with mild impairment. There was no association of HI level with activity quantities or fragmentation. For diurnal patterns of activity, participants with moderate or greater HI had fewer activity counts in the afternoon (12:00 pm -05:59 pm). CONCLUSIONS: Older adults with worse hearing had shifted diurnal patterns and poorer balance performance. Exercise programs should be tailored to older adults with different levels of HI to maintain PA and physical functioning, particularly balance control.

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PURPOSE: Population-based evidence in the interrelationships among hearing, brain structure, and cognition is limited. This study aims to investigate the cross-sectional associations of peripheral hearing, brain imaging measures, and cognitive function with speech-in-noise performance among older adults. METHOD: We studied 602 participants in the Aging and Cognitive Health Evaluation in Elders (ACHIEVE) brain magnetic resonance imaging (MRI) ancillary study, including 427 ACHIEVE baseline (2018-2020) participants with hearing loss and 175 Atherosclerosis Risk in Communities Neurocognitive Study Visit 6/7 (2016-2017/2018-2019) participants with normal hearing. Speech-in-noise performance, as outcome of interest, was assessed by the Quick Speech-in-Noise (QuickSIN) test (range: 0-30; higher = better). Predictors of interest included (a) peripheral hearing assessed by pure-tone audiometry; (b) brain imaging measures: structural MRI measures, white matter hyperintensities, and diffusion tensor imaging measures; and (c) cognitive performance assessed by a battery of 10 cognitive tests. All predictors were standardized to z scores. We estimated the differences in QuickSIN associated with every standard deviation (SD) worse in each predictor (peripheral hearing, brain imaging, and cognition) using multivariable-adjusted linear regression, adjusting for demographic variables, lifestyle, and disease factors (Model 1), and, additionally, for other predictors to assess independent associations (Model 2). RESULTS: Participants were aged 70-84 years, 56% female, and 17% Black. Every SD worse in better-ear 4-frequency pure-tone average was associated with worse QuickSIN (-4.89, 95% confidence interval, CI [-5.57, -4.21]) when participants had peripheral hearing loss, independent of other predictors. Smaller temporal lobe volume was associated with worse QuickSIN, but the association was not independent of other predictors (-0.30, 95% CI [-0.86, 0.26]). Every SD worse in global cognitive performance was independently associated with worse QuickSIN (-0.90, 95% CI [-1.30, -0.50]). CONCLUSIONS: Peripheral hearing and cognitive performance are independently associated with speech-in-noise performance among dementia-free older adults. The ongoing ACHIEVE trial will elucidate the effect of a hearing intervention that includes amplification and auditory rehabilitation on speech-in-noise understanding in older adults. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.25733679.

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Background and Objectives: Patient portals are secure online platforms that allow patients to perform electronic health management tasks and engage in bidirectional information exchange with their care team. Some health systems administer Medicare Annual Wellness Visit (AWV) health risk assessments through the patient portal. Scalable opportunities from portal-based administration of risk assessments are not well understood. Our objective is 2-fold-to understand who receives vs misses an AWV and health risk assessment and explore who might be missed with portal-based administration. Research Design and Methods: This is an observational study of electronic medical record and patient portal data (10/03/2021-10/02/2022) for 12 756 primary care patients 66+ years from a large academic health system. Results: Two-thirds (n = 8420) of older primary care patients incurred an AWV; 81.0% of whom were active portal users. Older adults who were active portal users were more likely to incur AWV than those who were not, though portal use was high in both groups (81.0% with AWV vs 76.8% without; p < .001). Frequently affirmative health risk assessment categories included falls/balance concerns (44.2%), lack of a documented advanced directive (42.3%), sedentary behaviors (39.9%), and incontinence (35.1%). Mean number of portal messages over the 12-month observation period varied from 7.2 among older adults affirmative responses to concerns about safety at home to 13.8 for older adults who reported difficulty completing activities of daily living. Portal messaging varied more than 2-fold across affirmative health risk categories and were marginally higher with greater number affirmative (mean = 13.8 messages/year no risks; 19.6 messages/year 10+ risks). Discussion and Implications: Most older adults were active portal users-a group more likely to have incurred a billed AWV. Efforts to integrate AWV risk assessments in the patient portal may streamline administration and scalability for dissemination of tailored electronically mediated preventive care but must attend to equity issues.

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Background and Objectives: The objectives of this study are to identify patterns of hearing aid usage among U.S. National Health & Aging Trends Study (NHATS) participants and to examine users' characteristics associated with each pattern. Research Design and Methods: Using data from 666 adults ages 65 and above from NHATS, we analyzed individuals' self-reported hearing aid use from eight waves of data, 2011-2018, using group-based trajectory modeling to identify clusters of individuals with similar utilization patterns of use over time. Potential risk factors associated with membership to a specific group included baseline sociodemographic characteristics, problems with activities of daily living, presence of a caregiver, and experiencing problems with their hearing aid. We compute and analyze the odds ratios between individuals' baseline characteristics and group membership. Results: We identified three utilization group patterns: continued use (n = 510, 76.6%), interrupted use (n = 121, 18.2%), and ceased use (n = 35, 5.2%). Individuals with an income under the poverty line had 2.9 (95% CI: 1.09, 7.75) and 2.7 times (95% CI: 1.38, 5.27) the odds of being in the interrupted and ceased use group, respectively, compared with the continued use group. Other risk factors for interrupted and ceased use included lower education and having a caregiver. Discussion and Implications: Nearly a quarter of hearing aid users experience interrupted or ceased use of hearing aids. Socioeconomic factors, such as age, income, and education, may be relevant for how individuals use assistive medical devices over time and could inform policymakers to support maintained use of hearing aids.

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BACKGROUND: Hearing loss, a public health issue in older populations, is closely related to functional decline. OBJECTIVE: To investigate the longitudinal associations between 4 dietary indices and hearing status. METHODS: Data from the Baltimore Longitudinal Study of Aging were used and included 882 participants ≥45 y of age. Dietary intake was assessed using a validated food frequency questionnaire, and 4 dietary scores (Mediterranean-Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay diet [MIND], Mediterranean style diet score [MDS], Alternative Healthy Eating Index [AHEI], and Healthy Eating Index [HEI]) were calculated as averages over time. Hearing status was examined using pure-tone audiometry, and pure-tone average (PTA) of hearing thresholds were calculated at speech-level (PTA(500, 1000, 2000, 4000 Hz)), low (PTA(500, 1000 Hz)), and high (PTA(4000, 8000 Hz)) frequencies, with lower thresholds indicating better hearing. Multivariable linear mixed-effect models were used to examine associations between dietary indices and hearing threshold change over time adjusted for confounders. RESULTS: At baseline, the mean age of participants was 67 y and 55% were female. Over a median of 8 y of follow-up, MDS ≥7 was associated with 3.5 (95% CI: -6.5, -0.4) and 5.0 (95% CI: -9.1, -1.0) dB lower PTA(500, 1000, 2000, 4000 Hz) and PTA(4000, 8000 Hz), respectively, compared with MDS ≤3; the highest tertile of the AHEI was associated with 2.3 (95% CI: -4.6, -0.1) and 5.0 (95% CI: -8.0, -2.0) dB lower PTA(500, 1000, 2000, 4000 Hz) and PTA(4000, 8000 Hz); and each standard deviation increment in HEI was associated with 1.6 dB (95% CI: -2.7, -0.6), 1.1 dB (95% CI: -2.1, -0.1), and 2.1 dB (95% CI: -3.5, -0.6) lower PTA(500, 1000, 2000, 4000 Hz), PTA(500, 1000 Hz), and PTA(4000, 8000 Hz), respectively. CONCLUSIONS: Adherence to healthy dietary patterns was associated with better hearing status, with stronger associations at high frequencies. Am J Clin Nutr 20xx;x:xx.

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INTRODUCTION: Hearing loss is highly prevalent among older adults and independently associated with cognitive decline. The Aging and Cognitive Health Evaluation in Elders (ACHIEVE) study is a multicenter randomized control trial (partially nested within the infrastructure of an observational cohort study, the Atherosclerosis Risk in Communities [ARIC] study) to determine the efficacy of best-practice hearing treatment to reduce cognitive decline over 3 years. The goal of this paper is to describe the recruitment process and baseline results. METHODS: Multiple strategies were used to recruit community-dwelling 70-84-year-old participants with adult-onset hearing loss who were free of substantial cognitive impairment from the parent ARIC study and de novo from the surrounding communities into the trial. Participants completed telephone screening, an in-person hearing, vision, and cognitive screening, and a comprehensive hearing assessment to determine eligibility. RESULTS: Over a 24-month period, 3004 telephone screenings resulted in 2344 in-person hearing, vision, and cognition screenings and 1294 comprehensive hearing screenings. Among 1102 eligible, 977 were randomized into the trial (median age = 76.4 years; 53.5% female; 87.8% White; 53.3% held a Bachelor's degree or higher). Participants recruited through the ARIC study were recruited much earlier and were less likely to report hearing loss interfered with their quality of life relative to participants recruited de novo from the community. Minor differences in baseline hearing or health characteristics were found by recruitment route (i.e., ARIC study or de novo) and by study site. DISCUSSION: The ACHIEVE study successfully completed enrollment over 2 years that met originally projected rates of recruitment. Substantial operational and scientific efficiencies during study startup were achieved through embedding this trial within the infrastructure of a longstanding and well-established observational study. Highlights: The ACHIEVE study tests the effect of hearing intervention on cognitive decline.The study is partially nested within an existing cohort study.Over 2 years, 977 participants recruited and enrolled.Eligibility assessed by telephone and in-person for hearing, vision, and cognitive screening.The ACHIEVE study findings will have significant public health implications.

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Background: The goal of this study was to re-estimate rates of bilateral hearing loss Nationally, and create new estimates of hearing loss prevalence at the U.S. State and County levels. Methods: We developed small area estimation models of mild, and moderate or worse bilateral hearing loss in the U.S. using data from the National Health and Nutrition Examination Survey (2001-2012, 2015-2018), the American Community Survey (2019), Census County Business Patterns (2019); Social Security Administration Data (2019); Medicare Fee-for-Service and Advantage claims data (2019); the Area Health Resources File (2019), and other sources. We defined hearing loss as mild (>25 dB through 40 dB), moderate or worse (>40 dB), or any (>25 dB) in the better hearing ear based on a 4-frequency pure-tone-average threshold, and created estimates by age group (0-4, 5-17, 18-34, 35-64, 65-74, 75+), gender, race and ethnicity, state, and county. Findings: We estimated that 37.9 million (95% Uncertainty Interval [U.I.] 36.6-39.1) Americans experienced any bilateral hearing loss; 24.9 million (95% U.I. 23.6-26.0) with mild and 13.0 million (95% U.I. 12.1-13.9) with moderate or worse. The prevalence rate of any hearing loss was 11.6% (95% U.I. 11.2%-12.0%). Hearing loss increased with age. Men were more likely to have hearing loss than women after age 35, and non-Hispanic Whites had higher rates of hearing loss than other races and ethnicities. Higher hearing loss prevalence was associated with smaller population size. West Virginia, Alaska, Wyoming, Oklahoma, and Arkansas had the highest standardised rate of bilateral hearing loss, and Washington D.C., New Jersey, New York, Maryland, and Connecticut had the lowest. Interpretation: Bilateral Hearing loss varies by State and County, with variation associated with population age, race and ethnicity, and population size. Geographic estimates can be used to raise local awareness of hearing loss as a problem, to prioritize areas for hearing loss prevention, identification, and treatment, and to guide future research on the hearing loss risk factors that contribute to these differences. Funding: CDC's National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health.

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PURPOSE: The Aging and Cognitive Health Evaluation in Elders (ACHIEVE) study is a randomized clinical trial designed to determine the effects of a best-practice hearing intervention versus a successful aging health education control intervention on cognitive decline among community-dwelling older adults with untreated mild-to-moderate hearing loss. We describe the baseline audiologic characteristics of the ACHIEVE participants. METHOD: Participants aged 70-84 years (N = 977; Mage = 76.8) were enrolled at four U.S. sites through two recruitment routes: (a) an ongoing longitudinal study and (b) de novo through the community. Participants underwent diagnostic evaluation including otoscopy, tympanometry, pure-tone and speech audiometry, speech-in-noise testing, and provided self-reported hearing abilities. Baseline characteristics are reported as frequencies (percentages) for categorical variables or medians (interquartiles, Q1-Q3) for continuous variables. Between-groups comparisons were conducted using chi-square tests for categorical variables or Kruskal-Wallis test for continuous variables. Spearman correlations assessed relationships between measured hearing function and self-reported hearing handicap. RESULTS: The median four-frequency pure-tone average of the better ear was 39 dB HL, and the median speech-in-noise performance was a 6-dB SNR loss, indicating mild speech-in-noise difficulty. No clinically meaningful differences were found across sites. Significant differences in subjective measures were found for recruitment route. Expected correlations between hearing measurements and self-reported handicap were found. CONCLUSIONS: The extensive baseline audiologic characteristics reported here will inform future analyses examining associations between hearing loss and cognitive decline. The final ACHIEVE data set will be publicly available for use among the scientific community. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.24756948.