Impairment In Older Adults Research Articles

Association between life's essential 8 and cognitive impairment in older patients: results from NHANES 2011-2014.

This study aimed to examine the association between the American Heart Association's (AHA) newly revised Life's Essential 8 (LE8) algorithm, designed for assessing cardiovascular health (CVH), and cognitive impairment among older adults in the United States. This study employed a cross-sectional design, utilizing data from the 2011-2014 National Health and Nutrition Examination Survey to explore the relationship between CVH and cognitive impairment in older adults. CVH scores are assessed based on the AHA definition of the LE8, categorized into three tiers: low (0-49), medium (50-79), and high (80-100). Cognitive impairment is evaluated using three distinct scoring systems: the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST). The lowest quartile as the cut-off point; below or equal to the lower quartile was considered as low cognitive population, and above the lower quartile was normal population. To analyze the association, multivariable logistic regression and restricted cubic spline (RCS) models were employed. A significant negative correlation exists between the LE8 and cognitive impairment. After adjusting for multiple variables, the odds ratios (OR) for cognitive impairment, as measured by the CERAD, AFT, and DSST, were compared between patients with high and low CVH. The results indicated OR values of 0.60 (95% CI: 0.36-0.98), 0.72 (95% CI: 0.52-0.97), and 0.29 (95% CI: 0.16-0.53) for the CERAD, AFT, and DSST, respectively. Additionally, the RCS curve demonstrated a significant linear relationship between lifestyle factors encapsulated by the LE8 and cognitive impairment. The findings indicate higher adherence to LE8 was associated with lower odds of cognitive impairment. Furthermore, maintaining optimal CVH is crucial in preventing cognitive impairment.

Chronic pain in older adults with disabilities is associated with cognitive impairment-a prospective cohort study.

Chronic pain may be an important factor influencing cognitive impairment; however, there is limited research on that link in older adults with disabilities. We aimed to determine the association between chronic pain and cognitive impairment in older adults with disabilities. This 24-month prospective cohort study involved 143 Japanese older adults (≥65 years of age) with long-term care insurance. Chronic pain was defined as pain persisting for ≥3 months, and cognitive impairment was defined as a Mini-Mental State Examination score ≤ 23. We employed logistic regression analysis with chronic pain as the independent variable and cognitive impairment as the dependent variable after propensity score matching (PSM). Sixty-six participants were selected using PSM, and logistic regression analysis showed that chronic pain was significantly associated with cognitive impairment (odds ratio: 4.103, 95% confidence interval: 1.455-11.567, P = 0.008). To prevent cognitive impairment in older adults with disabilities, the management of chronic pain should be considered, as they are related.

Assessment of sensory impairment in older adults with dementia

Assessment of sensory impairment in older adults with dementia

Considering different Montreal Cognitive Assessment cutoff scores for older adults with asthma.

Background: There is a greater prevalence of cognitive impairment among ethnic and/or racial minorities, and cognitive impairment is a barrier to asthma self-management (SM) behaviors and outcomes in older adults. Objective: The aim of this study was to examine the relationship between cognitive impairment, assessed by using the Montreal Cognitive Assessment (MoCA), and asthma SM behaviors and outcomes in a sample of predominantly Black and Latino participants. In addition, we evaluated whether using two different MoCA cutoff scores influenced the association between cognitive impairment and asthma outcomes. Methods: Baseline cross-sectional data were extracted from a longitudinal study of older adults with asthma (N = 165) ages ≥60 years. Cognition was assessed by using the MoCA. Asthma Control Questionnaire, asthma-related quality of life (AQOL), and inhaled corticosteroid (ICS) adherence were assessed by using self-report. ICS dosing was collected through chart review and inhaler technique was observed and rated. Results: Using established MoCA cutoff scores of 23 and 26 yielded 45% and 74% cognitive impairment rates, respectively. Cognitive impairment, defined by using the cutoff score of 23, was significantly associated with worse asthma control (p = 0.04) and worse ICS adherence (p = 0.01). With a cutoff score of 26, only AQOL was significantly associated with cognitive impairment (p = 0.03). Race and/or ethnicity moderated the relationship between cognitive impairment and asthma control with a MoCA cutoff score of 23, and between cognitive impairment and AQOL with a MoCA cutoff score of 26. Conclusion: Cognitive impairment in older adults with asthma is associated with important clinical outcomes, but this relationship is influenced by the cutoff score used to define cognitive impairment.

Age-related increase in the excitability of mouse layer V pyramidal neurons in the primary motor cortex is accompanied by an increased persistent inward current.

Sarcopenia, or pathological age-related loss of muscle strength and mass, contributes to physical function impairment in older adults. While current understanding of sarcopenia is centered mostly on neuromuscular mechanisms, mounting evidence supports that deficits at the level of the primary motor cortex (PMC) play a significant role. Despite the importance of the PMC to initiate movement, understanding of how age affects the excitability of layer V pyramidal neurons (LVPNs) of the PMC is limited. To address this, we used the whole-cell patch clamp technique to measure the excitability of LVPNs of the PMC in young, late adulthood, and old mice. Old LVPNs had increased firing frequency and membrane input resistance, but no differences in action potential kinetics versus young and late adulthood mice. Since changes in the persistent inward current (PIC) are known to contribute to changes in motor neuron excitability, we measured LVPN PICs as a putative contributor to LVPN excitability. The PIC amplitude was increased in old LVPN via increases in Na+ and Ca2+ PICs, in addition to being active across a wider voltage range. Given that LVPN function is integral to initiation of voluntary muscle contraction, altered LVPN excitability likely contributes to age-related impairment of physical function.

Onset of cognitive impairment, diet quality and adherence to dietary guidelines over 12 years: the Personality and Total Health Cohort Study.

Around 55 million people worldwide live with dementia, and more are expected due to population ageing. We aimed to investigate associations between healthy diet and mild cognitive impairment and dementia in 1753 older adults aged 60-64 from the PATH (Personality and Total Health Through Life Cohort) study. Healthy diet was defined by the Mediterranean-DASH diet Intervention for Neurological Delay (MIND) and two dietary guideline quality scores (Dietary Guideline Index (DGI) and Index Diet Quality (IDQ)), which were calculated from baseline FFQ. Higher dietary scores indicated higher diet quality. Incidence of Alzheimer's disease/vascular dementia (National Institute of Neurological Disorders criteria) and mild cognitive impairment (Winbald criteria) was assessed after 12 years of follow-up using validated questionnaires with nominated proxies. Logistic regression explored associations between dietary scores and cognitive function, adjusting for demographics, lifestyle factors and medical preconditions. Adjusted logistic regression comparing the per unit linear increase in diet scores showed MIND (OR = 0·82, 95 % CI = 0·68, 0·99), but not DGI (0·99 (0·97, 1·00)) or IDQ (1·12 (0·95, 1·32)), was significantly associated with lower odds of developing cognitive impairment. In conclusion, a healthier neuroprotective dietary pattern is associated with better cognitive function over time, whereas dietary patterns generated from general dietary guidelines did not show a significant association. Further research and well-designed clinical studies are needed to determine the effects of the MIND diet on cognitive impairment in older adults without a family history of dementia.

Effectiveness of combined physical exercise and cognitive training in older adults with cognitive impairment: A systematic review and meta-analysis

Falls among cognitively impaired older adults are a global concern. The aim of this study was to assess the efficacy of combining physical exercise and cognitive training to improve balance among older adults. A systematic search of databases, including Embase, Medline-OVID, CINAHL-EBSCOhost, and Central-Cochrane Library, was conducted from March 9 to April 6, 2023. The search used keywords based on the PICO question, where the population was older adults with cognitive impairment. Compared to a single therapy, the intervention involved a combination of muscle strengthening and cognitive therapy, with the outcome of falls or balance. Inclusion criteria were randomized controlled trials (RCTs) in any setting. Studies with participants under 60 years old and lacking baseline clinical assessments were excluded. EndNote 20 was used as a reference manager tool, and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 flow diagram was used to map out the number of identified records. Two investigators worked independently, and the Jadad scale was used for critical appraisal. The PROSPERO registration number is CRD42023454876. A fixed-effects meta-analysis was performed using an inverse-variance method. Four articles met the inclusion criteria, three of which were included in the meta-analysis. Studies were from Europe, New Zealand, and the Philippines, with a total sample of 255 participants and mean ages of 65.9–87.5 years. The studies used combined physical and cognitive training in one group. Results showed a significant moderate effect size (effect size (ES): 2.29; standardized mean difference (SMD): 0.41; p<0.05; heterogeneity (I2): 0%) indicating no heterogeneity. In conclusion, the combined intervention displayed the potential to improve balance for cognitively impaired older adults.

Prevalence and influencing factors of cognitive frailty among Chinese older adults: A systematic review and meta-analysis.

Cognitive frailty refers to the coexistence of physical frailty and cognitive impairment in older adults, without a concurrent diagnosis of Alzheimer's disease or other dementias. This review aims to evaluate the prevalence of CF subtypes and identify influencing factors among Chinese older adults. The following databases were searched: PubMed/Medline, Embase, Cochrane Library, WOS, PsycINFO and CNKI et al (1 January 2001 to 20 October 2022). The risk of bias was assessed using the Agency for Healthcare Research and Quality Evidence-based Practice Center Methods Guide. Stata 17.0 software was used to pool the prevalence of cognitive frailty, and the pooled odds ratio and 95% CI of the influencing factors were calculated. The meta-analysis (56 studies and 80,320 participants) revealed the following prevalence rates: CF (18.9%), reversible CF (19.5%), potentially reversible CF (17.5%), CF in community-dwelling older adults (14.3%), CF in nursing homes (22.7%) and CF in older inpatients (25.2%). Influential factors identified included age, gender, education, nutrition, depression, exercise, sleep and comorbidity. The prevalence of CF among Chinese older adults is notably high, and it probably underestimates the prevalence of reversible cognitive frailty. It is crucial to encourage adherence to healthy behaviours, as it can effectively reduce and delay the onset of cognitive frailty.

Bibliometric study of scientific productivity in intervention programs that improve cognitive impairment in older adults.

Realizar un análisis bibliométrico integral de la productividad científica relacionada con programas de intervención que buscan mejorar la función cognitiva en adultos mayores, según revista, país y tema de intervención en la base de datos pubmed. Se realizó un estudio bibliométrico durante el periodo 2018 al 2023. La búsqueda bibliográfica se realizó en la base de datos PubMed. Los términos de búsqueda fueron: cognitivecayden, cognitivecayden, exercise program, intervention program, physical exercise,older adult, elderly. Cada artículo identificó: año de publicación, idioma de publicación, país de publicación, nombre de la revista y tema del estudio. Se utilizaron los lineamientos establecidos por PRISMA. Se incluyeron 51 publicaciones científicas, analizadas en 34 revistas. China lidera con 14 estudios (27,5%), seguido de Estados Unidos con 5 artículos (9,8%). Corea y Singapur están en tercer lugar con 4 estudios cada uno (7,8%), seguido de Japón con 3 estudios (5,9%). En cuanto al idioma de publicación, el 96,1% (n=49) fueron publicados en inglés. Solo el 3,9% (n=2) fueron publicados en español. La revista con mayor frecuencia de publicaciones fue Nutrients, con 6 artículos publicados, lo que representa el 11,8% del total y destaca como líder en este campo. Le siguió BMC Geriatrics con 3 artículos publicados, lo que representa el 5,9% del total. Destaca el aumento de las investigaciones sobre intervenciones para el deterioro cognitivo en OA, concentradas principalmente en los años 2020 y 2023. China lidera la producción de estudios seguida de Estados Unidos, Corea y Singapur. Los programas de intervención más estudiados incluyen el ejercicio y el deporte, seguido de la nutrición y el entrenamiento computarizado. Destaca la revista "Nutrients" con mayor número de artículos, seguida de "BMC Geriatrics".

The Relationship between Delirium and Dementia.

Delirium and dementia are common causes of cognitive impairment in older adults. They are distinct but interrelated. Delirium, an acute confusional state, has been linked to the chronic and progressive loss of cognitive ability seen in dementia. Individuals with dementia are at higher risk for delirium, and delirium itself is a risk factor for incident dementia. Additionally, delirium in individuals with dementia can hasten underlying cognitive decline. In this review, we summarize recent literature linking these conditions, including epidemiological, clinicopathological, neuroimaging, biomarker, and experimental evidence supporting the intersection between these conditions. Strategies for evaluation and diagnosis that focus on distinguishing delirium from dementia in clinical settings and recommendations for delirium prevention interventions for patients with dementia are presented. We also discuss studies that provide evidence that delirium may be a modifiable risk factor for dementia and consider the impact of delirium prevention interventions on long-term outcomes.

Does Dialysis Therapy Cause Cognitive Impairment in Older Adults? A Propensity Score Matching Retrospective Study From a Japanese Long-Term Care Insurance Certification Survey.

This study explores the longitudinal connection between dialysis therapy in older adults and the incidence of cognitive impairment, and trends of general abilities. We conducted a retrospective propensity score matching (PSM) analysis of data from the care-needs certification survey in City A, Japan, spanning 2017 to 2021. Our sample comprised 11 443 initially cognitively intact older adults from the baseline year 2017. Among them, individuals had received dialysis therapy at baseline, and 216 individuals were included after PSM. The dialysis group had a significantly lower incidence of cognitive impairment during follow-up than the control group (P = 0.02). The competing risk of death was significantly higher in the dialysis group than in the control group (P < .001). Both groups showed a decline in their comprehensive ability over the time. There have been several reports of a negative association between dialysis and cognitive impairment, but more detailed investigation of the longitudinal relationship may be needed. Comprehensive support remains critical for both dialysis and non-dialysis older adults.

12521 Electrical Impedance Myography And Muscle Health In Older Adults With Type 1 Diabetes

Abstract Disclosure: A. Fremaint: None. G. Jung: None. E. Yu: None. M. Bouxsein: None. Introduction: Recent studies indicate that individuals with Type 1 diabetes mellitus (T1D) develop skeletal muscle health impairments which might contribute to falls and explain their high fracture risk. A novel handheld Electrical Impedance Myography (EIM) device (mScan model 1301, Myolex) has been developed to assess muscle quality by calculating tissue impedance. We hypothesized that mScan could identify individuals with worse strength and body composition outcomes among older adults with and without T1D. Methods: We studied participants of the T1D Bone Health Connection (BEACON) Study who were aged 50+ and who had undergone EIM testing (n=63 T1D, n=50 non-diabetic controls). We analyzed EIM-derived phase angle [Phase = arctan(reactance/resistance)] at 100 kHz in 3 upper extremity muscles (biceps brachii, lateral deltoid, and wrist extensors), where lower phase values indicate poorer muscle quality. Correlations of EIM data were performed with grip strength measured by a handheld dynamometer and appendicular lean mass/height2 (ALM/ht2) and visceral adipose tissue (VAT) from whole-body DXA scans. Pearson’s correlations were used for all statistical analyses. Results: Mean age (63±7 years), sex (54% female), and BMI (26.5 kg/m2) were similar between T1D and control groups. Adults with T1D had a nonsignificant trend towards lower muscle quality at the biceps brachii than controls (8.9±5.4 vs 10.9 ±6.0 degrees, p=0.078). There were no differences between groups in phase angle for lateral deltoid nor wrist extensors. Higher muscle quality at the biceps brachii was associated with higher grip strength (r=0.28, p=0.005) in the full cohort as well as in the T1D group (r=0.40, p &amp;lt;0.001). In the full cohort, greater VAT was associated with lower muscle health at the biceps brachii (r = -0.34, p=0.003) and lateral deltoid (r = -0.23, p&amp;lt;0.014), with similar patterns in both T1D and controls. There were no correlations of muscle quality with ALM/ht2. Conclusion: Our data suggest that mScan holds promise for detection of skeletal muscle health impairments in older adults, including those with T1D, potentially aiding in the diagnosis and prevention of related falls and fractures. Further research is required to investigate the association between VAT and muscle health and to validate the effectiveness of mScan in T1D and other populations. Presentation: 6/3/2024

Interactive effect of diabetes mellitus and subclinical MRI markers of cerebrovascular disease on cognitive decline and incident dementia: a memory-clinic study

BackgroundCognitive impairment is an increasingly recognized comorbidity of diabetes, yet the mechanisms underlying this association remain poorly understood. This knowledge gap has contributed to conflicting findings regarding the impact of diabetes on long-term cognitive outcomes in older adults. The presence of cerebrovascular disease (CeVD) may potentially modify this relationship. However, interactive effect between diabetes and subclinical MRI markers of CeVD on cognitive trajectories and incident dementia remains unexplored.MethodsA total of 654 participants underwent brain MRI at baseline, from whom 614 with at least one follow-up were selected for longitudinal analysis. Cognitive tests were performed annually up to 5 years. CeVD markers of interest were lacunes, white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), cortical microinfarcts (CMIs), intracranial stenosis (ICS), and cortical infarcts. Blood-based Alzheimer biomarkers, including p-tau181 and p-tau181/Aβ42 ratio, were used as indicators of Alzheimer pathology.ResultsAt baseline, diabetes was associated with lower cognitive performance and higher burden of CeVD, but not p-tau181 or p-tau181/Aβ42 ratio. Longitudinally, we found an interactive effect of diabetes and WMHs, rather than an independent effect of diabetes, on cognitive decline and dementia risk. Subgroup analyses showed association of diabetes with cognitive outcomes was stronger in participants with high WMHs load but non-significant in those with low WMHs load. Moreover, these associations remained unchanged after adjusting for blood-based Alzheimer biomarkers.ConclusionsThe effect of diabetes on cognitive decline is contingent upon the presence of WMHs and independent of Alzheimer’s pathology. This finding raises the possibility of utilizing WMHs as an imaging biomarker to identify diabetic subgroup at greater risk of developing cognitive impairment. Furthermore, therapeutic interventions targeting WMHs may prevent cognitive deterioration in older adults with diabetes.

Psychosocial Impact of the COVID-19 Pandemic on Older Adults With and Without Cognitive Impairment: A Cross-Sectional Study

Objectives1) To develop and test the validity of the Psychosocial Pandemic Impact Scale (PPIS); 2) test associations between PPIS scores and demographics/cognitive performance in older adults; 3) answer whether the PPIS scores would differ between cognitively healthy (HOA) or mildly impaired older adults (MCI), and between those assessed before and after vaccines were available in Brazil. DesignCross-sectional study. SettingCommunity-dwelling older adults registered to participate in a remote randomized clinical trial of computerized cognitive training were assessed online during the COVID-19 pandemic in Brazil. ParticipantsA sample of 181 older adults (>60 years) was used for the PPIS psychometric analysis, from which 120 who completed baseline cognitive, quality of life, and mood assessments were included in the group comparisons and correlational analysis. MeasurementsThe psychosocial pandemic impact scale (PPIS); The Montreal Cognitive Assessment (MoCA; used as a brief screening tool); The verbal fluency test (to assess executive function) and the Verbal memory and learning with the Portuguese version of the rey auditory verbal learning test (RAVLT); The geriatric anxiety inventory (GAI); The Geriatric Depression Scale - Short Form (GDS); The WHOQOL-BREF and WHOQOL-OLD quality of life questionnaires; The Katz and Lawton scales and the Activities of Daily Living Questionnaire (ADLQ) to measure daily function. ResultsThe PPIS demonstrated good internal consistency (α = .84) and sampling adequacy (MSA= .85) and was significantly associated with validated measures of anxiety and depression (GAI: ρ = 0.49, p< 0.001; GDS: ρ = 0.48, p = 0.006) and quality of life (WHOQOL-Bref: ρ = -0.46, p< 0.001; WHOQOL-Old: ρ = -0.24, p = 0.03), confirming construct validity and scale reliability. HOA who were female and had more years of education and those with MCI who were younger and had better memory reported higher PPIS scores. One-way ANOVAs including age and education as covariates revealed that people with MCI reported higher PPIS scores than HOA before vaccination (p = 0.01), but not after. While HOA assessed before and after vaccines were available showed similar PPIS scores, those with MCI assessed after had a trend towards lower scores than those assessed before (p = 0.06). ConclusionsOur study provides a reliable instrument for assessing older adults' psychosocial pandemic impact and shows that people with MCI might be more vulnerable to such effects—which are mediated by memory performance, age, education, and gender. This data can help clinicians to identify and propose interventions targeting vulnerable populations during public health emergencies.

Hypoxemia during rapid eye movement sleep mediates memory impairment in older adults at risk for dementia via CA1 hippocampal volume loss.

Obstructive sleep apnea is associated with increased dementia risk. Nocturnal hypoxemia, which can be more severe during rapid eye movement (REM) sleep, may be a key mechanism. This study examines how REM hypoxemia affects memory and explores whether hippocampal vulnerability to hypoxemia mediates this effect in older adults at risk for dementia. Older adults aged ≥50 years (N = 338) with subjective or mild cognitive impairment (i.e., objective impairment) underwent neuropsychological, mood, and medical assessment, magnetic resonance imaging scanning (n = 135), and overnight polysomnography. Verbal learning and memory were assessed with the Rey Auditory Verbal Learning Test. REM sleep hypoxemia was measured using the Oxygen Desaturation Index-3% (REM-ODI). Hippocampal subfield (CA1, CA3, subiculum, and dentate gyrus) volumes were derived from T1 and high-resolution hippocampus T2 scans. We determined whether the relationship between REM-ODI and learning and memory was mediated by hippocampal subfield volume. Analyses were repeated in non-REM sleep to determine whether the effects were REM-specific. Although there was not a direct effect of REM-ODI on verbal learning (p > 0.05) or memory (p > 0.05), mediation analyses showed a significant indirect effect of high REM-ODI on poorer verbal learning (β = -0.09, 95% confidence interval [CI] = -0.238 to -0.005) and memory (β = -0.100, 95% CI = -0.255 to -0.005), which was mediated by CA1 volume. These associations were absent in non-REM sleep (p > 0.05). Hypoxemia during REM sleep may impair memory in people at risk for dementia by reducing CA1 hippocampal volume. Research is needed to explore whether interventions targeting REM sleep hypoxemia are protective against memory decline.

Story Recall in Peer Conflict Resolution Discourse Task to Identify Older Adults Testing Within Range of Cognitive Impairment.

The current study used behavioral measures of discourse complexity and story recall accuracy in an expository discourse task to distinguish older adults testing within range of cognitive impairment according to a standardized cognitive screening tool in a sample of self-reported healthy older adults. Seventy-three older adults who self-identified as healthy completed an expository discourse task and neuropsychological screener. Discourse data were used to classify participants testing within range of cognitive impairment using multiple machine learning algorithms and stability analysis for identifying reliably predictive features in an effort to maximize prediction accuracy. We hypothesized that a higher rate of pronoun use and lower scores on story recall would best classify older adults testing within range of cognitive impairment. The highest classification accuracy exploited a single variable in a remarkably intuitive way: using 66% story recall as a cutoff for cognitive impairment. Forcing this decision tree model to use more features or increasing its complexity did not improve accuracy. Permutation testing confirmed that the 77% accuracy and 0.18 Brier skill score achieved by the model were statistically significant (p < .00001). These results suggest that expository discourse tasks that place demands on executive functions, such as working memory, can be used to identify aging adults who test within range of cognitive impairment. Accurate representation of story elements in working memory is critical for coherent discourse. Our simple yet highly accurate predictive model of expository discourse provides a promising assessment for easy identification of cognitive impairment in older adults. https://doi.org/10.23641/asha.26543824.

Association between widowhood and cognitive function among Chinese older adults with hearing impairment: the moderating effect of social support and participation

BackgroundOlder adults with hearing impairments are vulnerable to cognitive impairment. Although previous reports suggest a correlation between widowhood and cognitive impairment, further investigation is needed to elucidate the effect of widowhood on cognitive function and the moderating effects of social support and participation on widowhood-related cognitive impairment in this vulnerable demographic.MethodsThe study’s data were sourced from the nationally representative Chinese Longitudinal Healthy Longevity Survey (CLHLS) for the years 2011, 2014, and 2018. Multiple linear regression was used to analyze the association between widowhood and cognitive function among older adults. Multivariate logistic regression examined the effect of widowhood on the likelihood of experiencing various levels of cognitive impairment in older adults with hearing impairments. A moderating effect model explored the roles of social support and participation in mitigating widowhood-related cognitive impairment.ResultsThe cognitive function of older adults with hearing impairment was found to be lower than that of those without hearing impairment. Widowhood was significantly negatively correlated with Mini-Mental State Examination (MMSE) scores in older adults, both with (Coef. = -0.898) and without (Coef.: = -0.680) hearing impairments. A stronger association was observed between widowhood and declining cognitive function among older adults with hearing impairment. Specifically, widowhood may be more likely to significantly increase the likelihood of moderate and severe cognitive impairment (RRR = 1.326, 1.538) among older adults with hearing impairments. Social support and social participation significantly moderated the cognitive impairment associated with widowhood among hearing-impaired older adults. These forms of support and engagement are buffers against the risk of widowhood-related cognitive impairment among this demographic.ConclusionsOur findings indicate that widowhood is significantly associated with cognitive impairment in older adults with hearing impairment. Social support and participation help mitigate this risk. Strategies should prioritize early screening, specialized cognitive rehabilitation, comprehensive care, and enhancing social support and participation to maintain cognitive health in this vulnerable population following widowhood.

Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study.

About one-third of older adults aged 65 years and older often have mild cognitive impairment or dementia. Acoustic and psycho-linguistic features derived from conversation may be of great diagnostic value because speech involves verbal memory and cognitive and neuromuscular processes. The relative decline in these processes, however, may not be linear and remains understudied. This study aims to establish associations between cognitive abilities and various attributes of speech and natural language production. To date, the majority of research has been cross-sectional, relying mostly on data from structured interactions and restricted to textual versus acoustic analyses. In a sample of 71 older (mean age 83.3, SD 7.0 years) community-dwelling adults who completed qualitative interviews and cognitive testing, we investigated the performance of both acoustic and psycholinguistic features associated with cognitive deficits contemporaneously and at a 1-2 years follow up (mean follow-up time 512.3, SD 84.5 days). Combined acoustic and psycholinguistic features achieved high performance (F1-scores 0.73-0.86) and sensitivity (up to 0.90) in estimating cognitive deficits across multiple domains. Performance remained high when acoustic and psycholinguistic features were used to predict follow-up cognitive performance. The psycholinguistic features that were most successful at classifying high cognitive impairment reflected vocabulary richness, the quantity of speech produced, and the fragmentation of speech, whereas the analogous top-ranked acoustic features reflected breathing and nonverbal vocalizations such as giggles or laughter. These results suggest that both acoustic and psycholinguistic features extracted from qualitative interviews may be reliable markers of cognitive deficits in late life.

A - 10 Selective Serotonin Reuptake Inhibitors Do Not Alter HD-tDCS Effects on Episodic Memory in Cognitively Impaired Older Adults

Abstract Objective High-Definition Transcranial Direct Current Stimulation (HD-tDCS) is a potential new intervention for mild cognitive impairment (MCI) and Alzheimer’s Dementia (ad) involving small doses of electrical stimulation. Prior studies suggest potential interactions with Selective Serotonin Reuptake Inhibitors (SSRIs) that could alter HD-tDCS’s effectiveness on cognitive outcomes. This study evaluated if SSRIs altered HD-tDCS response to episodic memory functioning in individuals with MCI and ad. Method Eighteen individuals (M age = 70.5; 27.8% female; 8 stable on SSRIs), 9 with MCI and 9 with ad, underwent ten 20-minute HD-tDCS sessions of 1 milliampere over the medial frontal cortex. Neuropsychological testing assessed learning and delayed recall for visual (Brief Visuospatial Memory Test-Revised) and verbal (Rey Auditory Verbal Learning Test or Hopkins Verbal Learning Test-Revised) episodic memory at baseline and immediately post-treatment. Linear regressions evaluated SSRI use as a predictor of post-treatment episodic memory performance controlling for baseline scores. Results Ten participants demonstrated improvement on at least one measure by 0.5 standard deviation (SD; 5 T-score points), with 5 showing 1 SD improvement. Eleven showed a decline by 0.5 SD on at least one measure, with 7 showing 1 SD decline. SSRI use did not significantly predict better or worse verbal learning (β = −4.285, p = 0.194), verbal delayed recall (β-0.408, p = 0.883), visual learning (β = −2.788, p = 0.405), and visual delayed recall (β = −6.673, p = 0.150) performance post-HD-tDCS. Conclusion Preliminary findings suggest SSRIs may not impact HD-tDCS outcomes in cognitively impaired older adults, specifically for episodic memory. These results may not translate to other neuropsychological domains; however, larger samples are needed for further investigation.

Machine learning algorithms to predict mild cognitive impairment in older adults in China: A cross-sectional study

ObjectiveThis study aimed to explore the predictive value of machine learning (ML) in mild cognitive impairment (MCI) among older adults in China and to identify important factors causing MCI. MethodsIn this study, 6434 older adults were selected based on the data of the China Health and Elderly Care Longitudinal Survey (CHARLS) in 2020, and the dataset was subsequently divided into the training set and the test set, with a ratio of 6:4. To construct a prediction model for MCI in older adults, six ML algorithms were used, including logistic regression, KNN, SVM, decision tree (DT), LightGBM, and random forest (RF). The Delong test was used to compare the differences of ROC curves of different models, while decision curve analysis (DCA) was used to evaluate the model performance. The important contributions of the prediction results were then used to explain the model by the SHAP value.The Matthews correlation coefficient (MCC) was calculated to evaluate the performance of the models on imbalanced datasets. Additionally, causal analysis and counterfactual analysis were conducted to understand the feature importance and variable effects. ResultsThe area under the ROC curve of each model range from 0.71 to 0.77, indicating significant difference (P < 0.01). The DCA results show that the net benefits of LightGBM is the largest within various probability thresholds. Among all the models, the LightGBM model demonstrated the highest performance and stability. The five most important characteristics for predicting MCI were educational level, social events, gender, relationship with children, and age. Causal analysis revealed that these variables had a significant impact on MCI, with an average treatment effect of −0.144. Counterfactual analysis further validated these findings by simulating different scenarios, such as improving educational level, increasing age, and increasing social events. ConclusionThe ML algorithm can effectively predict the MCI of older adults in China and identify the important factors causing MCI.