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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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Atividades Cotidianas , Auxiliares de Audição , Perda Auditiva , Humanos , Auxiliares de Audição/estatística & dados numéricos , Feminino , Masculino , Estudos Transversais , Idoso , Perda Auditiva/epidemiologia , Estado Funcional , Estudos Longitudinais , Vida Independente , Audiometria de Tons PurosRESUMO
Importance: Plasma biomarkers show promise for identifying Alzheimer disease (AD) neuropathology and neurodegeneration, but additional examination among diverse populations and throughout the life course is needed. Objective: To assess temporal plasma biomarker changes and their association with all-cause dementia, overall and among subgroups of community-dwelling adults. Design, Setting, and Participants: In 1525 participants from the US-based Atherosclerosis Risk in Communities (ARIC) study, plasma biomarkers were measured using stored specimens collected in midlife (1993-1995, mean age 58.3 years) and late life (2011-2013, mean age 76.0 years; followed up to 2016-2019, mean age 80.7 years). Midlife risk factors (hypertension, diabetes, lipids, coronary heart disease, cigarette use, and physical activity) were assessed for their associations with change in plasma biomarkers over time. The associations of biomarkers with incident all-cause dementia were evaluated in a subpopulation (n = 1339) who were dementia-free in 2011-2013 and had biomarker measurements in 1993-1995 and 2011-2013. Exposure: Plasma biomarkers of amyloid-ß 42 to amyloid-ß 40 (Aß42:Aß40) ratio, phosphorylated tau at threonine 181 (p-tau181), neurofilament light (NfL), and glial fibrillary acidic protein (GFAP) were measured using the Quanterix Simoa platform. Main Outcomes and Measures: Incident all-cause dementia was ascertained from January 1, 2012, through December 31, 2019, from neuropsychological assessments, semiannual participant or informant contact, and medical record surveillance. Results: Among 1525 participants (mean age, 58.3 [SD, 5.1] years), 914 participants (59.9%) were women, and 394 participants (25.8%) were Black. A total of 252 participants (16.5%) developed dementia. Decreasing Aß42:Aß40 ratio and increasing p-tau181, NfL, and GFAP were observed from midlife to late life, with more rapid biomarker changes among participants carrying the apolipoprotein E epsilon 4 (APOEε4) allele. Midlife hypertension was associated with a 0.15-SD faster NfL increase and a 0.08-SD faster GFAP increase per decade; estimates for midlife diabetes were a 0.11-SD faster for NfL and 0.15-SD faster for GFAP. Only AD-specific biomarkers in midlife demonstrated long-term associations with late-life dementia (hazard ratio per SD lower Aß42:Aß40 ratio, 1.11; 95% CI, 1.02-1.21; per SD higher p-tau181, 1.15; 95% CI, 1.06-1.25). All plasma biomarkers in late life had statistically significant associations with late-life dementia, with NfL demonstrating the largest association (1.92; 95% CI, 1.72-2.14). Conclusions and Relevance: Plasma biomarkers of AD neuropathology, neuronal injury, and astrogliosis increase with age and are associated with known dementia risk factors. AD-specific biomarkers' association with dementia starts in midlife whereas late-life measures of AD, neuronal injury, and astrogliosis biomarkers are all associated with dementia.
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Importance: Heart failure (HF) and frailty frequently coexist and may share a common pathobiology, although the underlying mechanisms remain unclear. Understanding these mechanisms may provide guidance for preventing and treating both conditions. Objective: To identify shared pathways between incident HF and frailty in late life using large-scale proteomics. Design, Setting, and Participants: In this cohort study, 4877 aptamers (Somascan v4) were measured among participants in the community-based longitudinal Atherosclerosis Risk In Communities (ARIC) cohort study at visit 3 (V3; 1993-1995; n = 10â¯638) and at visit 5 (V5; 2011-2013; n = 3908). Analyses were externally replicated among 3189 participants in the Cardiovascular Health Study (CHS). Data analysis was conducted from February 2022 to June 2023. Exposures: Protein aptamers, measured at study V3 and V5. Main Outcomes and Measures: Outcomes assessed included incident HF hospitalization after V3 and after V5, prevalent frailty at V5, and incident frailty between V5 and visit 6 (V6; 2016-2017; n = 4131). Frailty was assessed using the Fried criteria. Analyses were adjusted for age, gender, race, field center, hypertension, diabetes, smoking status, body mass index, estimated glomerular filtration rate, prevalent coronary heart disease, prevalent atrial fibrillation, and history of myocardial infarction. Mendelian randomization (MR) analysis was performed to assess potential causal effects of candidate proteins on HF and frailty. Results: A total of 4877 protein aptamers were measured among 10â¯638 participants at V3 (mean [SD] age, 60 [6] years; 4886 [46%] men). Overall, 286 proteins were associated with incident HF after V3 (822 events; P < 1.0 × 10-5), 83 of which were also associated with incident after V5 (336 events; P < 1.7 × 10-4). Among HF-free participants at V5 (n = 3908; mean [SD] age, 75 [5] years; 1861 [42%] men), 48 of 83 HF-associated proteins were associated with prevalent frailty (223 cases; P < 6.0 × 10-4), 18 of which were also associated with incident frailty at V6 (152 cases; P < 1.0 × 10-3). These proteins enriched fibrosis and inflammation pathways and demonstrated stronger associations with incident HF with preserved ejection fraction (HFpEF) than HF with reduced ejection fraction. All 18 proteins were associated with both prevalent frailty and incident HF in CHS. MR identified potential causal effects of several proteins on frailty and HF. Conclusions and Relevance: In this study, the proteins associated with risk of HF and frailty enrich for pathways related to inflammation and fibrosis as well as risk of HFpEF. Several of these proteins could potentially contribute to the shared pathophysiology of frailty and HF.
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Fragilidade , Insuficiência Cardíaca , Proteômica , Humanos , Insuficiência Cardíaca/epidemiologia , Insuficiência Cardíaca/sangue , Feminino , Masculino , Idoso , Fragilidade/epidemiologia , Fragilidade/sangue , Incidência , Fatores de Risco , Pessoa de Meia-Idade , Biomarcadores/sangueRESUMO
BACKGROUND AND OBJECTIVES: Mounting evidence supports sex differences in Alzheimer disease (AD) risk. Vascular and hormonal factors may together contribute to AD risk in female adults. We investigated whether age at menopause, vascular risk, and history of hormone therapy (HT) containing estrogens together influence cognition over a 3-year follow-up period. We hypothesized that earlier menopause and elevated vascular risk would have a synergistic association with lower cognitive scores at follow-up and that HT containing estrogens would attenuate this synergistic association to preserve cognition. METHODS: We used data from postmenopausal female participants and age-matched male participants in the Canadian Longitudinal Study on Aging. Vascular risk was calculated using a summary score of elevated blood pressure, antihypertensive medications, elevated low-density lipoprotein cholesterol, diabetes, smoking, and obesity. Cognition was measured with a global cognitive composite at baseline and 3-year follow-up. Linear models tested independent and interactive associations of age at menopause, vascular risk, and HT history with cognition at 3-year follow-up, adjusting for baseline cognition, baseline age, years of education, and test language (English/French). RESULTS: We included 8,360 postmenopausal female participants (mean age at baseline = 65.0 ± 8.53 years, mean age at menopause = 50.1 ± 4.62 years) and 8,360 age-matched male participants for comparison. There was an interaction between age at menopause and vascular risk, such that earlier menopause and higher vascular risk were synergistically associated with lower cognitive scores at follow-up (ß = 0.013, 95% CI 0.001-0.025, p = 0.03). In stratified analyses, vascular risk was associated with lower cognitive scores in female participants with earlier menopause (menopausal ages 35-48 years; ß = -0.044, 95% CI -0.066 to -0.022, p < 0.001), but not average (ages 49-52 years; ß = -0.007, 95% CI -0.027 to 0.012, p = 0.46) or later menopause (ages 53-65 years; ß = 0.003, 95% CI -0.020 to 0.025, p = 0.82). The negative association of vascular risk with cognition in female participants with earlier menopause was stronger than the equivalent association in age-matched male participants. HT history did not further modify the synergistic association of age at menopause and vascular risk with follow-up cognition (ß = -0.005, 95% CI -0.032 to 0.021, p = 0.69). DISCUSSION: Endocrine and vascular processes may synergistically contribute to increased risk of cognitive decline in female adults. These findings have implications for the development of sex-specific dementia prevention strategies.