Population-based Sample Of Older Adults Research Articles

Are we missing the beat in cancer end-of-life care: Prevalence and end-of-life monitoring of implantable cardioverter defibrillators in a population-based sample of older adults diagnosed with breast, colorectal, or pancreatic cancer.

e18728 Background: More than 50,000 implantable cardioverter defibrillators (ICDs) are placed in adults aged 65 years and older in the United States each year to manage cardiac arrhythmias. Shared risk profiles between many cancers and heart disease, as well as cardiotoxic effects of anti-cancer treatments suggest individuals with cancer are likely to have ICD devices. Although ICDs have been studied extensively in Europe, little is known about the US population, and even less is known in populations with cancer. ICDs have critical implications for end-of-life care in patients with cancer. Many patients do not include wishes for their ICD in their advanced directives, and end-of-life shocks can cause pain and distress for patients and their families. We evaluated prevalence and end-of-life monitoring of ICDs in a national sample of older adults who had breast, colorectal, or pancreatic cancer. Methods: We analyzed Surveillance, Epidemiology and End Results (SEER) data for first incident breast, colorectal, and pancreas cancer cases linked to Medicare claims (years 2004-2016) in Medicare-beneficiaries aged ³66 years. We evaluated the prevalence of ICDs by cancer stage at diagnosis with descriptive statistics. For patients with late-stage cancer (III or IV) who died in our study period we also evaluated the prevalence of ICD monitoring at the end of life. Because ICD deactivation is not a billable code, we evaluated ICD monitoring as a proxy for having an active device, hence an opportunity to discuss device deactivation. Results: In our sample of 286,015 individuals with cancer, 6.8% of patients had evidence of an ICD in their Medicare claims (6.1% breast, 8.2% colorectal, 5.3% pancreas). Of these, 49.7% had evidence of an ICD before their cancer diagnosis. The prevalence of ICDs was lower among the 60,046 individuals diagnosed with late-stage cancer( p< .001) (5.0% breast, 6.1% colorectal, 4.5% pancreas). Among individuals with late-stage cancer and evidence of an ICD, 27.0% of those who died had ICD monitoring in the last six months of life (21.1% breast, 27.9% colorectal, 29.3% pancreas, p= .001), and 6.2% had monitoring in the last month of life (5.1% breast, 6.5% colorectal, 6.3% pancreas, p= .46). Conclusions: To improve the quality of care at the end-of-life for people with advanced cancer, awareness, communication, and shared decision making about ICD device management options are important considerations. These data suggest there may be opportunities to discuss prognosis and implications of advanced-stage cancer at device monitoring visits or during cardio-oncology visits.

Mild cognitive impairment is associated with passive suicidal ideation in older adults: A population-based study.

To investigate the association between MCI and passive/active suicidal ideation in a population-based sample of older adults. The sample included 916 participants without dementia acquired from the two population-based studies Prospective Population Study of Women (PPSW) and the H70-study. Cognitive status was assessed using a comprehensive neuropsychiatric examination and classified according to the Winblad et al. criteria: 182 participants were classified as cognitively intact, 448 had cognitive impairment but did not fulfill MCI criteria and 286 were diagnosed with MCI. Passive/active suicidal ideation was assessed using the Paykel questions. Passive or active suicidal ideation (any level) was reported by 16.0% of those with MCI and 1.1% of those who were cognitively intact. MCI was associated with past year life-weariness (OR 18.32, 95% CI 2.44-137.75) and death wishes (OR 5.30, 95% CI 1.19-23.64) in regression models adjusted for covariates including major depression. Lifetime suicidal ideation was reported more frequently in MCI (35.7%) than in cognitively intact participants (14.8%). MCI was associated with lifetime life-weariness (OR 2.90, 95% CI 1.67-5.05). Among individuals with MCI, impairments in memory and visuospatial ability were associated with both past year and lifetime life-weariness. Our findings suggest reports of past year as well as lifetime passive suicidal ideation to be more frequent among individuals with MCI compared to those cognitively intact, indicating that individuals with MCI may constitute a high-risk group for suicidal behavior.

Odor identification errors reveal cognitive aspects of age-associated smell loss

Human olfaction can be extraordinarily sensitive, and its most common assessment method is odor identification (OID), where everyday odors are matched to word labels in a multiple-choice format. However, many older persons are unable to identify familiar odors, a deficit that is associated with the risk of future dementia and mortality. The underlying processes subserving OID in older adults are poorly understood. Here, we analyzed error patterns in OID to test whether errors could be explained by perceptual and/or semantic similarities among the response alternatives. We investigated the OID response patterns in a large, population-based sample of older adults in Sweden (n = 2479; age 60–100 years). Olfaction was assessed by a ‘Sniffin ́ TOM OID test with 16 odors; each trial involved matching a target odor to a correct label among three distractors. We analyzed the pattern of misidentifications, and the results showed that some distractors were more frequently selected than others, suggesting cognitive or perceptual factors may be present. Relatedly, we conducted a large online survey of older adults (n = 959, age 60–90 years) who were asked to imagine and rate the perceptual similarity of the target odors and the three corresponding distractors (e.g. “How similar are these smells: apple and mint?”). We then used data from the Swedish web corpus and the Word2Vec neural network algorithm to quantify the semantic association strength between the labels of each target odor and its three distractors. These data sources were used to predict odor identification errors. We found that the error patterns were partly explained by both the semantic similarity between target-distractor pairs, and the imagined perceptual similarity of the target-distractor pair. Both factors had, however, a diminished prediction in older ages, as responses became gradually less systematic. In sum, our results suggest that OID tests not only reflect olfactory perception, but also likely involve the mental processing of odor-semantic associations. This may be the reason why these tests are useful in predicting dementia onset. Our insights into olfactory-language interactions could be harnessed to develop new olfactory tests that are tailored for specific clinical purposes.

Passive and active suicidal ideation in a population-based sample of older adults: Associations with polygenic risk scores of relevance for suicidal behavior.

There are few studies investigating genetic factors related to suicidal ideation or behavior in older adult populations. Our aim was to test associations between passive and active suicidal ideation and polygenic risk scores (PRSs) for suicidality and other traits of relevance for suicidality in old age (i.e. depression, neuroticism, loneliness, Alzheimer's disease, cognitive performance, educational attainment, and several specified vascular diseases) in a population-based sample aged 70 years and older. Participants in the prospective H70 study in Gothenburg, Sweden, took part in a psychiatric examination that included the Paykel questions on active and passive suicidal ideation. Genotyping was performed with the Neurochip (Illumina). After quality control of the genetic data the sample included 3467 participants. PRSs for suicidality and other related traits were calculated based on summary statistics from recent GWASs of relevance. Exclusion of persons with dementia or incomplete data on suicidal ideation yielded 3019 participants, age range 70-101 years. Associations between past year suicidal ideation (any level) and selected PRSs were analysed using general estimation equation (GEE) models, adjusted for sex and age. We observed associations between passive/active suicidal ideation and PRSs for depression (three versions), neuroticism, and general cognitive performance. After excluding individuals with current major depressive disorder (MDD), similar associations were seen with PRS for neuroticism, general cognitive performance and two PRSs for depression. No associations were found between suicidal ideation and PRSs for suicidality, loneliness, Alzheimer's disease, educational attainment, or vascular disease. Our results could indicate which types of genetic susceptibility that are of importance for suicidality in old age, and these findings can help to shed light on potential mechanisms that may be involved in passive and active suicidal ideation in late-life, also in those with no current MDD. However, due to the limited sample size, the results need to be interpreted with caution until replicated in larger samples.

Association between multiple chronic conditions and insufficient health literacy: cross-sectional evidence from a population-based sample of older adults living in Switzerland

BackgroundHealth literacy is the ability to find, understand, assess, and apply health information. Individuals suffering from multiple chronic conditions have complex healthcare needs that may challenge their health literacy skills. This study aimed to investigate the relationship between multimorbidity, the number of chronic conditions, and health literacy levels in a sample of adults aged 58+ in Switzerland.MethodsWe used data from 1,615 respondents to a paper-and-pencil questionnaire administered as part of wave 8 (2019/2020) of the Survey of Health, Ageing and Retirement in Europe (SHARE) in Switzerland. Health literacy was measured using the short version of the European Health Literacy Survey questionnaire. The final score ranged from 0 to 16 and was categorised into three health literacy levels: inadequate (0–8), problematic (9–12), and sufficient (13–16). The number of chronic conditions was self-reported based on a pre-defined list. Associations were examined using multivariable ordinary least squares and ordered probit regression models, controlling for key socio-demographic characteristics.ResultsOverall, 63.5% of respondents reported having at least one chronic condition. Respondents who reported one, two, and three or more chronic conditions were more likely to have lower health literacy scores compared to respondents who did not report any chronic condition (p<0.05, p<0.01, and p<0.001, respectively). Suffering from two and three or more chronic conditions (vs. no chronic condition) was significantly associated with a higher likelihood of having inadequate or problematic health literacy levels (both p-values <0.01).ConclusionsOur findings suggest a need to improve health literacy in older adults suffering from chronic conditions. Improved health literacy could constitute a promising lever to empower individuals to better self-manage their health to ultimately reduce the double burden of chronic diseases and insufficient health literacy in this vulnerable population.

Smartphone-based long-term delayed memory performance is associated with the Preclinical Alzheimer's Cognitive Composite and CSF levels of β-amyloid.

Remote and unsupervised cognitive testing using smartphones may improve sensitivity to detect preclinical Alzheimer's disease (AD). In particular, cognitive testing at-home enables the evaluation of the potentially more sensitive long-term delayed memory retrieval, which is commonly not feasible in a clinical setting. Here, we investigated the association between remote and unsupervised smartphone-based cognitive assessments and in-clinic cognitive measurement in older participants (CDR = 0, MMSE = 29.2, age = 77). The sample (non-demented at age 70) was derived from the Swedish population-based Gothenburg H70 Birth Cohort Studies. In a subsample of participants, the retrospective correlation with cerebrospinal fluid (CSF) biomarkers analyzed at age 70 was further explored. To this point, 177 H70-participants have consented and were enrolled into the smartphone sub-study. They completed an "Object-in-Room Recall Test" (ORR) remotely and unsupervised using own mobile devices, and the recall session was initiated 24 hours after the initial learning phase. Available previously assessed CSF measures included the Aβ42/Aβ40-ratio, t-tau, p-tau, neurofilament light (NFL), and neurogranin, available in-clinic cognitive tests included the Rey Auditory Verbal Learning Test (RAVLT), Semantic Fluency, Digit-Symbol-Coding, and Mini Mental State Examination. The above-mentioned cognitive tests were used to derive the Preclinical Alzheimer's Cognitive Composite (PACC5), a composite designed to be sensitive to cognitive change in preclinical AD. All associations were examined using Pearson correlation coefficient. Preliminary analyses in a subset of participants yielded relatively strong positive correlations between PACC5 (R = .50, p<.001) and the ORR Long-term Delayed Retrieval. The strongest correlation for an individual test was observed between the RAVLT Delayed Retrieval and the ORR Long-term Delayed Retrieval (R = .52, p<.001). Regarding the CSF biomarkers, Aβ42/Aβ40-ratio at age 70 was positively correlated with the ORR Long-term Delayed Retrieval at age 77 (R = .43, p<.01), while measures of t-tau, p-tau, NFL, and neurogranin at age 70 were not. Our findings demonstrate the potential of smartphone-based cognitive assessment to detect features of preclinical AD in a population-based sample of older adults. Future analyses will address the relationship between these novel cognitive measures in relation to longitudinal CSF- and neuroimaging-based biomarkers and clinical progression.

Unsupervised mobile app-based cognitive testing in a population-based study of older adults born 1944.

Mobile app-based tools have the potential to yield rapid, cost-effective, and sensitive measures for detecting dementia-related cognitive impairment in clinical and research settings. At the same time, there is a substantial need to validate these tools in real-life settings. The primary aim of this study was thus to evaluate the feasibility, validity, and reliability of mobile app-based tasks for assessing cognitive function in a population-based sample of older adults. A total of 172 non-demented (Clinical Dementia Rating 0 and 0.5) older participants (aged 76-77) completed two mobile app-based memory tasks-the Mnemonic Discrimination Task for Objects and Scenes (MDT-OS) and the long-term (24 h) delayed Object-In-Room Recall Task (ORR-LDR). To determine the validity of the tasks for measuring relevant cognitive functions in this population, we assessed relationships with conventional cognitive tests. In addition, psychometric properties, including test-retest reliability, and the participants' self-rated experience with mobile app-based cognitive tasks were assessed. MDT-OS and ORR-LDR were weakly-to-moderately correlated with the Preclinical Alzheimer's Cognitive Composite (PACC5) (r = 0.3-0.44, p < .001) and with several other measures of episodic memory, processing speed, and executive function. Test-retest reliability was poor-to-moderate for one single session but improved to moderate-to-good when using the average of two sessions. We observed no significant floor or ceiling effects nor effects of education or gender on task performance. Contextual factors such as distractions and screen size did not significantly affect task performance. Most participants deemed the tasks interesting, but many rated them as highly challenging. While several participants reported distractions during tasks, most could concentrate well. However, there were difficulties in completing delayed recall tasks on time in this unsupervised and remote setting. Our study proves the feasibility of mobile app-based cognitive assessments in a community sample of older adults, demonstrating its validity in relation to conventional cognitive measures and its reliability for repeated measurements over time. To further strengthen study adherence, future studies should implement additional measures to improve task completion on time.

Voting Behaviour and Health Among the Oldest-old in Germany: Results from a Population-Based Cross-Sectional Study

Background If voter turnout reflects social or health inequalities, then these inequalities can reduce equal political representation. Research suggests that poor health impedes voting and contributes to low turnout, especially among the oldest-old (80 years and older). Therefore, we examine the determinants of voting behaviour in more detail, with a special focus on the role of health status among the oldest-old. Methods The analysis was based on a population-based sample of older adults living in Germany’s largest federal state, North Rhine-Westphalia (n = 1826). The outcome was participation in the last federal election. As determinants, we included subjective, functional, mental, and cognitive health; mobility; institutional living; education; social embeddedness; party attachment; habituation; and conformist attitudes. We used logistic regression models to calculate odds ratios and 95% confidence intervals. Results The overall turnout rate was 84.6% (95%-CI:82.9–86.3), which shows that most of the oldest-old participate in elections. Results from logistic regressions revealed that lower formal education and limitations in functional, cognitive, and mental health were associated with lower odds of voting; while habituation, party attachment, and partnership were associated with higher odds of voting. Conclusion Most of the oldest-old in Germany participate in elections. Still, our results hint at the existence of important inequalities in turnout rates. Given that older adults constitute an increasing share of the electorate, and that those who are less likely to vote are often among those most directly affected by political decisions, all individuals who are willing and able to participate in elections should be given the necessary support to actually do so.

Association between immunoglobulin A and depression in Chinese older adults: findings from a cross-sectional study

BackgroundDepression is considered to be an immune-related disease; however, previous studies have focused on inflammatory factors, and there is no conclusive conclusion on the relationships between immunoglobulins and depression. Therefore, the objective of this cross-sectional study was to evaluate the associations between immunoglobulins and depressive symptoms in Chinese older adults.ResultsThe China Hainan Centenarian Cohort Study (CHCCS) provides a significant population-based sample of older adults in Hainan, China. A total of 1547 older adults were included in this study. A baseline survey was conducted using a structured questionnaire. Blood samples were obtained following standard procedures. The Geriatric Depression Scale (GDS-15) was used to evaluate depressive symptoms of the participants. This sample of older adults had a median age of 94.75 (range: 80–116) years, and the proportion of women was 72.07%. The prevalence of older adults with depressive symptoms was 20.36% (315 older adults). After adjusting for all covariates, we found that immunoglobulin A levels were positively associated with depression. The adjusted reliability of the association between immunoglobulin A and depression was 0.106 (beta) and 1.083 (odds ratio) (P < 0.05 for both).ConclusionsThe present study provides epidemiological evidence that depression has significant associations with immunoglobulin A levels in older adults. Further research should be conducted on the effects of regulating immunoglobulin A to improve depressive symptoms.

Association of Neurofilament Light With the Development and Severity of Parkinson Disease.

Blood biomarkers may allow earlier identification of Parkinson disease (PD), parkinsonism, and poor PD-related outcomes, such as physical functioning. Neurofilament light (NfL), a neuronal cytoplasmic protein, is a biomarker of neurodegeneration measurable in biofluids. Our objective was to examine the association of serum NfL at baseline with clinically diagnosed PD, parkinsonian signs, and physical functioning change over 16 years in a population-based sample of older adults. Data came from 1,327 older participants from the Chicago Health and Aging Project, a longitudinal population-based study. Clinical evaluations included assessing parkinsonian signs in 4 domains-bradykinesia, parkinsonian gait, rigidity, and tremors-using a structured version of the Unified Parkinson's Disease Rating Scale. Board-certified neurologists diagnosed PD. Physical functioning was assessed using chair stands, tandem walk, and timed walk. An ultrasensitive immunoassay was used to measure the concentration of NfL in blood. Of the 1,254 participants examined for clinical PD, 77 (6.1%) developed clinical PD and parkinsonian signs were on average 9.5 (range 0-66.0). After adjusting for demographic characteristics, APOE ε4 allele, and global cognition, a 2-fold higher concentration of serum NfL was associated with incident clinical PD (odds ratio [OR] 2.54, 95% CI 1.70, 3.81) and global parkinsonian signs (OR 2.44, 95% CI 1.94, 2.94). This association was significant >5 years before diagnosis. Compared with participants with levels below 18.5 pg/mL of serum NfL at baseline, participants with levels between 18.5 and 25.4 pg/mL, between 25.4 and 37.3 pg/mL, and above 37.3 pg/mL had a higher OR of clinical PD at all time intervals from the time of diagnosis to >5 years before diagnosis. A higher concentration of serum NfL was associated with a faster rate of physical functioning decline. In participants with 2-fold higher concentrations of serum NfL, the annual rate of decline in physical functioning increased by 0.15 units (95% CI 0.21, 0.08). Serum NfL was associated with incident clinical PD, parkinsonian signs, and physical functioning decline in a population-based sample. Our findings suggest that NfL may serve as a potential biomarker for neurodegeneration, including PD outcomes. This study provides Class II evidence that serum NfL levels are associated with incident PD, parkinsonian signs, and physical functioning decline.

Tau polygenic risk scoring: a cost-effective aid for prognostic counseling in Alzheimer's disease.

Tau deposition is one of two hallmark features of biologically defined Alzheimer's disease (AD) and is more closely related to cognitive decline than amyloidosis. Further, not all amyloid-positive individuals develop tauopathy, resulting in wide heterogeneity in clinical outcomes across the population with AD. We hypothesized that a polygenic risk score (PRS) based on tau PET (tau PRS) would capture the aggregate inherited susceptibility/resistance architecture influencing tau accumulation, beyond solely the measurement of amyloid-β burden. Leveraging rich multimodal data from a population-based sample of older adults, we found that this novel tau PRS was a strong surrogate of tau PET deposition and captured a significant proportion of the variance in tau PET levels as compared with amyloid PET burden, APOE (apolipoprotein E) ε4 (the most common risk allele for AD), and a non-APOE PRS of clinical case-control AD risk variants. In independent validation samples, the tau PRS was associated with cerebrospinal fluid phosphorylated tau levels in one cohort and with postmortem Braak neurofibrillary tangle stage in another. We also observed an association of the tau PRS with longitudinal cognitive trajectories, including a statistical interaction of the tau PRS with amyloid burden on cognitive decline. Although additional study is warranted, these findings demonstrate the potential utility of a tau PRS for capturing the collective genetic background influencing tau deposition in the general population. In the future, a tau PRS could be leveraged for cost-effective screening and risk stratification to guide trial enrollment and clinical interventions in AD.

Factors associated with physical activity reduction in Swedish older adults during the first COVID-19 outbreak: a longitudinal population-based study

BackgroundPhysical activity (PA) decreased during the COVID-19 pandemic, especially among older adults, potentially leading to adverse consequences for their health. However, factors associated with reductions of PA during the pandemic have not been examined in a population-based sample of older adults. Thus, the aim of this study was to explore the association of pre-pandemic physical, mental, social and lifestyle factors with reductions in PA in older adults during the first wave of COVID-19, and whether the associations differed by age and sex.MethodsA population-based sample of 624 participants aged 65-99 years were identified from the Swedish National study on Aging and Care in Kungsholmen (SNAC-K) COVID19 Study. Information on pre-pandemic factors was collected through clinical examinations, interviews, and self-administered questionnaires in 2016-2019. Changes in light and intense PA during the first wave of the pandemic (May-September 2020) were self-reported. Data were analyzed using multiple logistic regression models, stratified by age (<70 vs. >80 years) and sex.ResultsThere was an association between pre-pandemic levels of higher depressive symptom burden (Odds Ratio (OR): 2.6, 95% Confidence Interval (CI): 1.1-6.4, <70 years), and impaired balance (OR: 1.7, 95% CI: 1.0-2.8, >80 years old) with reductions in light-intensity PA. Furthermore, the presence of musculoskeletal disease (OR: 1.8, 95% CI: 1.1-2.9, <70 years; OR: 2.3, 95% CI: 1.2-4.4, men), moderate/high levels of neuroticism (OR: 1.6, 95% CI: 1.0-2.6, <70 years; OR: 2.2, 95% CI: 1.3-3.5, women), and poor levels of social support (OR: 2.2, 95% CI: 1.2-4.3, >80 years) were related to reductions in higher-intensity PA. Those who were current smokers (OR: 0.3, 95% CI: 0.1-0.8, <70 years; OR: 0.2, 95% CI: 0.06-0.7, women), or had impaired balance (OR: 0.4, 95% CI: 0.2-0.8, >80 years) were less likely to reduce their levels of higher-intensity PA.ConclusionsFor future pandemics or waves of COVID-19, development of strategies is warranted for older individuals with psychiatric- or physical illness/dysfunction, as well as those with poor social support to counteract reductions in physical activities.

Assessing Social Cognition in Older Adults: A Population-Based Study

<h3>Introduction</h3> Social cognition is the cognitive domain that processes social information, the means by which we make sense of ourselves in relation to others and our environments. Impaired social cognition is associated with functional dependence on others and can have dire social consequences leading to social isolation, increasing the risk for morbidity and mortality. Social cognition is be impaired in neurodegenerative disorders including Alzheimer's disease (AD). The most recent edition of the American Psychiatric Association's Diagnostic and Statistical Manual for Mental Disorders (DSM-5) include social cognition as one of six core domains of neurocognitive function, alongside memory, executive control, complex attention, language, and visuospatial/perceptuomotor function, that can be impaired in the neurocognitive disorders. We have previously reported population-based norms from older adults on two social cognition measures, the Social Norms Questionnaire [SNQ-22], assessing social perception, and the 10-question version of the Reading the Mind in the Eyes Test [RMET-10], measuring Theory of Mind (ToM). Here, we report on the utility of a social cognition composite measure comprising the SNQ-22 and the RMET-10. <h3>Methods</h3> Participants are 902 adults from a population-based cohort in Pennsylvania. The mean age is 76.6 years (SD 8.06). We created a social cognition composite comprising standardized z-scores on the Social Norms Questionnaire and the 10-item Reading the Mind in the Eyes Test. We described its distribution in the population-based sample of older adults, its association with demographic factors, other cognitive and behavioral measures, the Clinical Dementia Rating (CDR®). We compared sensitivity, specificity, and the area under the curve of social cognition to those of other cognitive domains for mild cognitive impairment (MCI). We calculated the impact of including social cognition as a sixth cognitive domain on the estimated prevalence of (cohort proportion classified as) neuropsychologically defined MCI. <h3>Results</h3> Better social cognition was associated with younger age, female sex, higher education, better general cognition (MMSE), fewer depressive symptoms, and lower Clinical Dementia Rating (CDR). Adjusting for demographics, associations with higher MMSE and fewer depressive symptoms, anxiety symptoms, and subjective cognitive complaints remained significant. The sensitivity and specificity of social cognition for CDR = 0.5 were comparable to those of the traditional five cognitive domains. Including social cognition as the sixth domain of cognition resulted in a 5% increase in the estimated prevalence of MCI. <h3>Conclusions</h3> Better social cognition was associated with younger age, female sex, higher education, better general cognition (MMSE), fewer depressive symptoms, and lower Clinical Dementia Rating (CDR). Adjusting for demographics, associations with higher MMSE and fewer depressive symptoms, anxiety symptoms, and subjective cognitive complaints remained significant. We found that social cognition had sensitivity, specificity for CDR that was comparable to those of the five conventional cognitive domains of attention, executive functions, language, memory, and visuospatial function. The AUC values in the 0.6 – 0.7 range, which were comparable to the reported values in the literature. Considering neuropsychologically defined MCI, the inclusion of social cognition as the sixth domain of cognition resulted in about 5% of the sample becoming newly classified as MCI. These individuals differed from those already classified as MCI only in having higher MMSE scores; but they differed from those still classified as normal in having more anxiety symptoms, lower reading levels, and impairment in the CDR domain of home and hobbies. It appears a worthwhile consideration for standard cognitive assessments in older adults to routinely include brief objective assessments of the social cognition domain. <h3>This research was funded by</h3> The word reported here was supported in part by research grant # R37AG023657 from the National Institute on Aging, National Institutes of Health, US Department of Health and Human Services.

Childhood food insufficiency and adulthood cardiometabolic health conditions among a population-based sample of older adults in Puerto Rico

Childhood food insufficiency negatively influences physical and psychosocial health in children, but less is known about long-term health implications. This study aimed to elucidate the association of childhood food insufficiency with older adulthood cardiometabolic conditions. We conducted cross-sectional analyses using data from the Puerto Rican Elderly: Health Conditions Project (n = 2712), a population-based sample of elderly adults (>60 y) living in Puerto Rico. Childhood food insufficiency was ascertained with a proxy question on childhood economic hardships that prevented eating. Participants self-reported hypertension, diabetes, and cardiovascular disease (CVD; including heart attack, heart disease, or stroke). Obesity was assessed as body mass index using measured height and weight. Multivariable-adjusted, sex-stratified, complex survey logistic regression models tested associations of childhood food insufficiency with each condition, number of cardiometabolic conditions (0–6), and age of onset. Nearly a third (29.4%) of the sample reported childhood food insufficiency; 68.7% reported hypertension, 29.6% reported type 2 diabetes, 34.2% reported CVD, 29.9% were categorized with obesity, and 55.4% had two or more cardiometabolic conditions. In men, but not women, childhood food insufficiency was associated with higher odds of hypertension (Odds Ratio (OR) (95% Confidence Intervals (CI)): 1.7 (1.1, 2.7)), CVD (1.7 (1.1, 2.6)), and having two (1.9 (1.0, 3.4) or three to four (2.3 (1.2, 4.4)) cardiometabolic conditions. Childhood food insufficiency was marginally associated with higher odds of early age of onset of CVD among men (2.2 (1.0, 4.7)). Childhood food insufficiency may increase the likelihood of having cardiometabolic conditions in Puerto Rican older men. Programs that enable access to sufficient, healthy food in childhood may help prevent eventual cardiovascular-related diseases.

Multimodal investigation of the association between shift work and the brain in a population-based sample of older adults

Neuropsychological studies reported that shift workers show reduced cognitive performance and circadian dysfunctions which may impact structural and functional brain networks. Here we tested the hypothesis whether night shift work is associated with resting-state functional connectivity (RSFC), cortical thickness and gray matter volume in participants of the 1000BRAINS study for whom information on night shift work and imaging data were available. 13 PRESENT and 89 FORMER night shift workers as well as 430 control participants who had never worked in shift (NEVER) met these criteria and were included in our study. No associations between night shift work, three graph-theoretical measures of RSFC of 7 functional brain networks and brain morphology were found after multiple comparison correction. Preceding multiple comparison correction, our results hinted at an association between more years of shift work and higher segregation of the visual network in PRESENT shift workers and between shift work experience and lower gray matter volume of the left thalamus. Extensive neuropsychological investigations supplementing objective imaging methodology did not reveal an association between night shift work and cognition after multiple comparison correction. Our pilot study suggests that night shift work does not elicit general alterations in brain networks and affects the brain only to a limited extent. These results now need to be corroborated in studies with larger numbers of participants.

Age Profiles of Cognitive Decline and Dementia in Late Life in the Aging, Demographics, and Memory Study.

To better understand the temporal dynamics of progression from cognitive decline to onset of dementia in the dementia-free older population in the United States. We used longitudinal data from a diverse national population-based sample of older adults (N = 531) in the Aging, Demographics, and Memory Study from the Health and Retirement Study with repeated measures of cognitive function and dementia diagnosis during 12 years of follow-up from 1996 to 2009. We employed joint latent class mixed models to estimate the association between cognitive change and competing risks of dementia and nondementia death and identify heterogeneity in the age profiles of such association adjusting for baseline characteristics. Our analyses found 3 latent classes with distinct age profiles of cognitive decline and associated risk of dementia and mortality: "Rapid Cognitive Decline" (19.6%), "Moderate Progression" (44.6%), and "Optimal Cognitive Aging" (35.8%). When simultaneously accounting for cognitive trajectories and time-to-dementia/death, we also found associations of baseline covariates with slope of cognitive decline (e.g., steeper decline among non-Hispanic Blacks and more educated) and risk of dementia (e.g., greater risk for females and apolipoprotein E-4 carriers, but no difference by education level) that differ substantially from those in separate longitudinal mixed models or survival models. The differential age patterns of cognitive decline predicting dementia incidences identified in this study suggest variation in the course of cognitive aging in older adults that may inform future etiological and intervention studies.

BDNF SNP C270T Modifies the Association Between History of Head Injury and Cognitive Status in Older Adults

Brain derived neurotrophic factor (BDNF), is a neurotrophin involved in neurogenesis and neuroplasticity. Several BDNF genes have been associated with cognitive function. Studies suggest head injury (HI) alters BDNF levels, and activities enhancing BDNF signaling promote better cognitive outcomes. We investigated the relationship between HI and BDNF single-nucleotide polymorphisms (SNPs) in predicting cognitive performance in a population-based sample of older adults. 4165 participants (56.7% female), dementia-free at baseline, were assessed triennially [follow-up years: mean (SD) = 5.85 (4.20), median = 7.33, maximum = 11.39]. Mean (SD) age was 75.36 (6.84). Cognition was assessed using the Modified Mini-Mental State Exam (3MS) and HI history from self-report. We examined interactions between BDNF SNPs [rs56164415 (BDNF C270T), rs6265 (Val66Met), rs2289656 (BDNF receptor trkB), and rs2072446 (NGF/BDNF receptor p75)] and history of HI (none, one, or multiple) in predicting cognitive decline. Covariates included age, education, sex, and apolipoprotein (APOE) E4 allele presence. Linear mixed-effect models indicated BDNF C270T significantly modified the association between HI and cognitive status (p < .006). Specifically, minor T allele carriers with single or multiple HI scored on average 2.08 and 3.21 points lower on the 3MS, respectively, than non-T carriers with no HI. Unexpectedly, there was a trend for APOE4*HI (p = .078) in that APOE E4 carriers with multiple HI scored higher than those lacking APOE E4 and HI. In this population-based sample, rs56164415 predicted cognitive outcomes that varied by history of HI. Factors influencing BDNF signaling may provide a potential avenue for intervention in recovery from HI.

Can internet use reduce the incidence of cognitive impairment? Analysis of the EpiFloripa Aging Cohort Study (2009–2019)

This study aims to estimate the effect of internet use on the incidence of cognitive impairment in older adults. Data are from the EpiFloripa Aging Cohort Study which has been following a population-based sample of older adults (60+) residing in Florianópolis, southern Brazil, for ten years. The outcome was the incidence of cognitive decline in follow-up waves measured by the Mini-Mental State Examination using cutoff points according to education. The exposure was internet use according to wave (yes/no). We excluded individuals with cognitive impairment from Wave 1 (n = 453). We used a longitudinal analysis model (Generalized Estimating Equations) to estimate incidence rate ratios (IRR) with 95% confidence intervals. We estimated the risk of cognitive impairment in Wave 2 or Wave 3 according to internet use in the previous wave. The incidence of cognitive impairment was 13.4% in Wave 2 and 13.3% in Wave 3. Despite the aging of this cohort, the prevalence of internet users increased from 26.4% in Wave 1 to 32.8% in Wave 2 and 46.8% in Wave 3. The risk of cognitive impairment in Wave 2 or Wave 3 was 70% lower for older adults who used the internet in the previous wave, adjusted for sex, age, years of education, household income, and self-reported comorbidities (IRR = 0.30; 95% CI: 0.15–0.61; p = 0.001). Internet use was associated with a decline in the incidence of cognitive impairment among older adults living in the urban areas of southern Brazil after a period of ten years.

Personality and reasoning ability during retirement age: Report from a Swedish population-based longitudinal study

We examined the association between personality and level and change in reasoning ability in a population-based sample of older adults (62–68 years) using a three-year annual follow-up longitudinal study design (HEARTS; N = 3851). Personality traits were measured using the Mini-IPIP scale and reasoning using a short form of Raven’s Matrices. Findings from a structural equation model, controlling for age, education, and sex, revealed that higher levels on extraversion, conscientiousness, and neuroticism were associated with lower reasoning ability (βs: −0.17 to −0.09). Higher levels of openness were associated with better reasoning (β: 0.16). We found no association with rate of change. This evidence replicates previous findings demonstrating that personality traits are associated with individual differences in cognition among older adults.

Impact of Aging and Sex on Advanced Diffusion-Weighted MRI Measures of White Matter Microstructure

Many neurodegenerative diseases, such as Alzheimer’s disease, are more common with advanced age and exhibit sex differences in their prevalence and presentation. Understanding how aging and sex impact the brain may improve our understanding of such neurodegenerative diseases. Here we comprehensively characterized the effects of aging and sex on the brain’s white matter microstructure in a population-based sample of older adults.