Cross-sectional associations between neighborhood characteristics, cognition and dementia risk factor burden in middle-aged and older Australians.

Dementia disproportionately affects individuals from disadvantaged backgrounds, including those living in areas of lower neighborhood-level socioeconomic status. It is important to understand whether there are specific neighborhood characteristics associated with dementia risk factors and cognition which may inform dementia risk reduction interventions. We sought to examine whether greenspace, walkability, and crime associated with the cumulative burden of modifiable dementia risk factors and cognition. This was a cross-sectional analysis of 2016-2020 data from the Healthy Brain Project, a population-based cohort of community-dwelling individuals across Australia. Participants were aged 40-70 and free of dementia. Measures included greenspace (greenspace % in the local area, and distance to greenspace, n = 2,181); and intersection density (n = 1,159), and crime (rate of recorded offences; n = 1,159). Outcomes included a modified Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) dementia risk score to index the burden of modifiable vascular dementia risk factors; and composite scores of both memory and attention, derived from the Cogstate Brief Battery. Linear regressions adjusted for age, sex, education, and personal socio-economic status, demonstrated distance to greenspace (b ± SE per 2-fold increase = 0.09 ± 0.03, p =.005) and crime rate (b ± SE per 2-fold increase = 0.07 ± 0.03, p =.018) were associated with higher modified CAIDE. Higher crime was associated with lower memory performance (b ± SE = -0.03 ± 0.01, p =.018). The association between distance to greenspace and modified CAIDE was only present in low-moderate socioeconomic status neighborhoods (p interaction = 0.004). Dementia prevention programs that address modifiable risk factors in midlife should consider the possible role of neighborhood characteristics.

BDNF Val66Met moderates episodic memory decline and tau biomarker increases in early sporadic Alzheimer's disease.

OBJECTIVE: Allelic variation in the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism has been shown to moderate rates of cognitive decline in preclinical sporadic Alzheimer's disease (AD; i.e., Aß + older adults), and pre-symptomatic autosomal dominant Alzheimer's disease (ADAD). In ADAD, Met66 was also associated with greater increases in CSF levels of total-tau (t-tau) and phosphorylated tau (p-tau181). This study sought to determine the extent to which BDNF Val66Met is associated with changes in episodic memory and CSF t-tau and p-tau181 in Aß + older adults in early-stage sporadic AD. METHOD: Aß + Met66 carriers (n = 94) and Val66 homozygotes (n = 192) enrolled in the Alzheimer's Disease Neuroimaging Initiative who did not meet criteria for AD dementia, and with at least one follow-up neuropsychological and CSF assessment, were included. A series of linear mixed models were conducted to investigate changes in each outcome over an average of 2.8 years, covarying for CSF Aß42, APOE ε4 status, sex, age, baseline diagnosis, and years of education. RESULTS: Aß + Met66 carriers demonstrated significantly faster memory decline (d = 0.33) and significantly greater increases in CSF t-tau (d = 0.30) and p-tau181 (d = 0.29) compared to Val66 homozygotes, despite showing equivalent changes in CSF Aß42. CONCLUSIONS: These findings suggest that reduced neurotrophic support, which is associated with Met66 carriage, may increase vulnerability to Aß-related tau hyperphosphorylation, neuronal dysfunction, and cognitive decline even prior to the emergence of dementia. Additionally, these findings highlight the need for neuropsychological and clinicopathological models of AD to account for neurotrophic factors and the genes which moderate their expression.

Associations between multidomain modifiable dementia risk factors with AD biomarkers and cognition in middle-aged and older adults.

This study aimed to determine associations between modifiable dementia risk factors (MDRF), across domains mood symptomatology, lifestyle behaviors, cardiovascular conditions, cognitive/social engagement, sleep disorders/symptomatology, with cognition, beta-amyloid (Aß) and tau, and brain volume. Middle-aged/older adults (n=82) enrolled in a sub-study of the Healthy Brain Project completed self-report questionnaires and a neuropsychological battery. Cerebrospinal fluid levels of Aß 1-42, total tau (t-tau), and phosphorylated tau (p-tau181) (Roche Elecsys), and MRI markers of hippocampal volume and total brain volume were obtained. Participants were classified as no/single domain risk (≤1 domains) or multidomain risk (≥2 domains). Compared to the no/single domain risk group, the multidomain risk group performed worse on the Preclinical Alzheimer's Cognitive Composite (d=0.63, p=.005), and Executive Function (d=0.50, p=.016), and had increased p-tau181 (d=0.47, p=.042) and t-tau (d=0.54, p=.021). In middle-aged/older adults, multidomain MDRFs were related to increases in tau and worse cognition, but not Aß or brain volume. Findings suggest that increases in AD biomarkers are apparent in midlife, particularly for individuals with greater burden, or variety of MDRFs.

Sensitivity of Individual and Composite Test Scores from the Cogstate Brief Battery to Mild Cognitive Impairment and Dementia Due to Alzheimer's Disease.

BACKGROUND: The Cogstate Brief Battery (CBB) is a computerized cognitive test battery used commonly to identify cognitive deficits related to Alzheimer's disease (AD). However, AD and normative samples used to understand the sensitivity of the CBB to AD in the clinic have been limited, as have the outcome measures studied. OBJECTIVE: This study investigated the sensitivity of CBB outcomes, including potential composite scores, to cognitive impairment in mild cognitive impairment (MCI) and dementia due to AD, in carefully selected samples. METHODS: Samples consisted of 4,871 cognitively unimpaired adults and 184 adults who met clinical criteria for MCI (Clinical Dementia Rating (CDR) = 0.5) or dementia (CDR > 0.5) due to AD and CBB naive. Speed and accuracy measures from each test were examined, and theoretically- and statistically-derived composites were created. Sensitivity and specificity of classification of cognitive impairment were compared between outcomes. RESULTS: Individual CBB measures of learning and working memory showed high discriminability for AD-related cognitive impairment for CDR 0.5 (AUCs ∼ 0.79-0.88), and CDR > 0.5 (AUCs ∼ 0.89-0.96) groups. Discrimination ability for theoretically derived CBB composite measures was high, particularly for the Learning and Working Memory (LWM) composite (CDR 0.5 AUC = 0.90, CDR > 0.5 AUC = 0.97). As expected, statistically optimized linear composite measures showed strong discrimination abilities albeit similar to the LWM composite. CONCLUSIONS: In older adults, the CBB is effective for discriminating cognitive impairment due to MCI or AD-dementia from unimpaired cognition with the LWM composite providing the strongest sensitivity.

Exploring the Potential Association Between Self-Reported Psychological Stress and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease in Midlife: A Cross-Sectional Study.

Psychological stress is associated with dementia risk. However, the underlying mechanisms are unclear. This cross-sectional study examined the association between self-reported psychological stress and cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease and neurodegeneration in 73 cognitively unimpaired middle-aged adults from the Healthy Brain Project (mean age = 58±7 years). Linear regression analyses did not reveal any significant associations of psychological stress with CSF amyloid-ß42, phosphorylated tau-181, total tau, or neurofilament light chain. Cohen's f2 effect sizes were small in magnitude (f2≤0.08). Further research is needed to replicate our findings, particularly given that the sample reported on average low levels of stress.

Associations of Perceived Stress and Psychological Resilience With Cognition and a Modifiable Dementia Risk Score in Middle-Aged Adults.

OBJECTIVES: Psychological stress has been proposed as a risk factor for cognitive impairment and dementia. However, it remains unclear how an individual's stress-coping ability (i.e., psychological resilience) is related to cognition. This cross-sectional study investigated whether perceived stress and psychological resilience were associated with cognition and a modifiable dementia risk score in a large community-based sample of cognitively normal adults. The moderating effect of psychological resilience was also examined. METHODS: Participants (mean age = 57 ± 7 years) enrolled in the web-based Healthy Brain Project completed the Perceived Stress Scale and the Connor-Davidson Resilience Scale. Domains of attention and working memory were assessed using the Cogstate Brief Battery (n = 1,709), and associative memory was assessed using the Cambridge Neuropsychological Test Automated Battery (n = 1,522). Dementia risk was estimated for 1,913 participants using a modified version of the Cardiovascular Risk Factors, Aging, and Incidence of Dementia dementia risk score, calculated using only readily modifiable dementia risk factors. RESULTS: In separate linear regression analyses adjusted for age, sex, education, and race, greater levels of perceived stress and lower levels of psychological resilience were associated with poorer performance across all cognitive domains, as well as a higher modifiable dementia risk score. Psychological resilience did not moderate the effect of perceived stress on cognition or the dementia risk score. DISCUSSION: Higher perceived stress and lower resilience were associated with poorer cognition and a greater burden of modifiable dementia risk factors. Intervention studies are required to determine if lowering stress and building resilience can mitigate cognitive deficits and reduce dementia risk.

CSF Aß42 and tau biomarkers in cognitively unimpaired Aß- middle-aged and older APOE ε4 carriers.

This study aimed to determine the relationship between the apolipoprotein E (APOE) ε4 allele and cerebrospinal fluid (CSF) and neuroimaging biomarkers of Alzheimer's disease, and cognition in cognitively unimpaired (CU) middle-aged adults (n = 82; Mage = 58.2), and in Aß- CU older adults (n = 71; Mage = 71.8). Aß- CU middle-aged ε4 carriers showed lower CSF Aß42 levels, higher levels of CSF total tau (t-tau) and neurofilament light (NfL), and poorer cognitive performance compared to noncarriers (Cohen's d: 0.30-0.56). In Aß- CU older adults, ε4 carriers also had lower CSF Aß42 levels and higher levels of CSF t-tau and p-tau181, compared to noncarriers (Cohen's d: 0.65-0.74). In both Aß- middle-aged and older adults, hippocampal and total brain volume were equivalent between ε4 carriers and noncarriers. In Aß- CU middle-aged adults, APOE ε4 is associated with decreased levels of Aß, increased tau and NfL, and poorer cognition. Similar relationships were observed in Aß- CU older adults. These results have implications for understanding clinicopathological relationships between APOE ε4 and the emergence of cognitive and biomarker abnormalities in Aß- adults.

Multidomain modifiable dementia risk factors are associated with poorer cognition in midlife.

OBJECTIVE: Studies of modifiable dementia risk factors (MDRFs) generally consider MDRFs individually, despite strong evidence that they co-occur in adult populations. In a large sample of middle-aged adults, this study aimed to determine the frequency and co-occurrence of MDRFs, spanning five domains (mood symptomatology, risky lifestyle behaviors, cardiovascular conditions, cognitive/social engagement, sleep disorders/symptomatology). The relationship between number of domains in which MDRFs were reported with cognitive performance and subjective cognitive concerns was then determined. METHOD: Middle-aged adults (n = 1,610) enrolled in the Healthy Brain Project and completed self-report surveys about their health and lifestyle. Participants also completed the Cogstate Brief Battery and the Cognitive Function Instrument, a measure of subjective ratings of cognition. Participants were classified according to number of domains (mood symptomatology, risky lifestyle behaviors, cardiovascular conditions, cognitive/social engagement, sleep disorders/symptomatology) in which they reported at least one MDRF (0-5). Age, sex, education, and ethnicity were adjusted for in analyses. RESULTS: Most individuals (66.5%) reported MDRFs in two or more domains. Compared with individuals displaying no MDRFs, individuals with MDRFs in 3-5 domains showed worse learning/working memory performance and greater subjective cognitive concerns, with the magnitude of these differences moderate-to-large (d = 0.30-0.93). Individuals displaying MDRFs in five domains also showed worse attention/psychomotor function (d = 0.58) compared to those displaying no MDRFs. CONCLUSIONS: These findings may suggest that multidomain MDRFs are highly frequent in middle-aged adults and are related to poorer cognition. This supports that modifiable dementia risk is multidimensional and raises the possibility that multidomain behavioral intervention trials in middle-aged adults may be useful to delay or prevent cognitive impairment or decline. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Insomnia Symptoms and Biomarkers of Alzheimer's Disease in the Community.

BACKGROUND: Insomnia is one of the most common sleep disorders yet its relationship to the biology of Alzheimer's disease remains equivocal. OBJECTIVE: We investigated the cross-sectional relationship between insomnia symptom severity and cerebrospinal fluid (CSF) concentrations of Alzheimer's disease biomarkers in a cognitively unimpaired middle-aged community sample. METHODS: A total of 63 participants from the Healthy Brain Project (age = 59±7 years; 67% women) completed a lumbar puncture and two weeks of actigraphy to measure two of insomnia's core features: difficulty initiating sleep (prolonged sleep onset latency) and difficulty maintaining sleep (wake after sleep onset [WASO] and number of awakenings). Additionally, the Insomnia Severity Index (ISI) was completed by 58 participants. Linear and Tobit regression were used to estimate the associations between each insomnia variable and CSF Aß42, phosphorylated tau 181 (p-tau181), total-tau, and neurofilament light chain protein (NfL), adjusting for age, sex, and APOEɛ4 genotype. RESULTS: Higher ISI score was associated with greater average levels of CSF Aß42 (per point: 30.7 pg/mL, 95% CI: 4.17-57.3, p = 0.023), as was higher WASO (per 10 min: 136 pg/mL, 95% CI: 48-223, p = 0.002) and more awakenings (per 5:123 pg/mL, 95% CI = 55-192, p < 0.001). Difficulty initiating sleep was not associated with CSF Aß42, nor were insomnia features associated with p-tau181, total-tau, or NfL levels. CONCLUSION: Insomnia symptoms were associated with higher CSF Aß42 levels in this relatively young, cognitively unimpaired sample. These findings may reflect increased amyloid production due to acute sleep disruption.

Leukocyte surface biomarkers implicate deficits of innate immunity in sporadic Alzheimer's disease.

INTRODUCTION: Blood-based diagnostics and prognostics in sporadic Alzheimer's disease (AD) are important for identifying at-risk individuals for therapeutic interventions. METHODS: In three stages, a total of 34 leukocyte antigens were examined by flow cytometry immunophenotyping. Data were analyzed by logistic regression and receiver operating characteristic (ROC) analyses. RESULTS: We identified leukocyte markers differentially expressed in the patients with AD. Pathway analysis revealed a complex network involving upregulation of complement inhibition and downregulation of cargo receptor activity and Aß clearance. A proposed panel including four leukocyte markers - CD11c, CD59, CD91, and CD163 - predicts patients' PET Aß status with an area under the curve (AUC) of 0.93 (0.88 to 0.97). CD163 was the top performer in preclinical models. These findings have been validated in two independent cohorts. CONCLUSION: Our finding of changes on peripheral leukocyte surface antigens in AD implicates the deficit in innate immunity. Leukocyte-based biomarkers prove to be both sensitive and practical for AD screening and diagnosis.

Harmonizing the preclinical Alzheimer cognitive composite for multicohort studies.

OBJECTIVES: Studies are increasingly examining research questions across multiple cohorts using data from the preclinical Alzheimer cognitive composite (PACC). Our objective was to use modern psychometric approaches to develop a harmonized PACC. METHOD: We used longitudinal data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), Harvard Aging Brain Study (HABS), and Australian Imaging, Biomarker and Lifestyle Study of Ageing (AIBL) cohorts (n = 2,712). We further demonstrated our method with the Anti-Amyloid Treatment of Asymptomatic Alzheimer's Disease (A4) Study prerandomized data (n = 4,492). For the harmonization method, we used confirmatory factor analysis (CFA) on the final visit of the longitudinal cohorts to determine parameters to generate latent PACC (lPACC) scores. Overlapping tests across studies were set as "anchors" that tied cohorts together, while parameters from unique tests were freely estimated. We performed validation analyses to assess the performance of lPACC versus the common standardized PACC (zPACC). RESULTS: Baseline (BL) scores for the zPACC were centered on zero, by definition. The harmonized lPACC did not define a common mean of zero and demonstrated differences in baseline ability levels across the cohorts. Baseline lPACC slightly outperformed zPACC in the prediction of progression to dementia. Longitudinal change in the lPACC was more constrained and less variable relative to the zPACC. In combined-cohort analyses, longitudinal lPACC slightly outperformed longitudinal zPACC in its association with baseline ß-amyloid status. CONCLUSIONS: This study proposes procedures for harmonizing the PACC that make fewer strong assumptions than the zPACC, facilitating robust multicohort analyses. This implementation of item response theory lends itself to adapting across future cohorts with similar composites. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The treatment of sleep dysfunction to improve cognitive function: A meta-analysis of randomized controlled trials.

OBJECTIVE: This meta-analysis of randomized controlled trials (RCTs) evaluates if treating sleep disturbances improves cognitive function over at least 12 weeks. METHODS: Multiple data sources were searched until November 1, 2021. RCTs were included if they examined the effect of an intervention (behavioral or medical) on sleep and cognition in an adult sample with sleep disturbances and had an intervention duration and follow-up of at least 12 weeks. Two independent reviewers located 3784 studies; 16 satisfied the inclusion criteria. Primary outcomes included the broad cognitive domains of visual processing, short-term memory, long-term storage and retrieval, processing speed, and reaction time. RESULTS: Most trials were conducted in participants with obstructive sleep apnea (OSA; N = 13); the most studied intervention was continuous positive airway pressure (CPAP; N = 10). All RCTs were 12 months in duration or less. The estimates of mean pooled effects were not indicative of significant treatment effect for any primary outcome. Although the interventions reduced daytime sleepiness (Hedge's g, 0.51; 95% confidence interval, 0.29-0.74; p < 0.01), this did not lead to cognitive enhancement. CONCLUSIONS: Overall, there was insufficient evidence to suggest that treating sleep dysfunction can improve cognition. Further studies with longer follow-up duration and supporting biomarkers are needed.

Association of Self-Reported Psychological Stress with Cognitive Decline: A Systematic Review.

Psychological stress is a potential modifiable risk factor for cognitive decline. However, the extent to which self-reported psychological stress is differentially associated with decline in specific cognitive domains remains unclear. Differences may be due to heterogeneity in the aspects of psychological stress investigated, for example, neuroticism (which is linked to vulnerability to stress), perceived stress, or exposure to stressful life events. This review aims to establish the associations between these aspects of self-reported psychological stress and cognitive decline. PsychINFO, Embase and MEDLINE were searched from database inception to September 2021. Studies were included if they were observational, prospective, and if they investigated the association between self-reported psychological stress and cognitive decline in adults with a minimum mean age of 40 years at baseline. Thirty studies satisfied the inclusion criteria, with most examining neuroticism (n = 17) as a predictor of cognitive decline. Fewer examined perceived stress (n = 7) or stressful life events (n = 6). There was evidence of an association between neuroticism and cognitive decline, particularly in the domain of memory. Similarly, across studies, perceived stress was also associated with memory decline. Research investigating the relationship between stressful life events and cognitive decline had fewer outcomes to interpret. Overall, the findings highlight that memory may be particularly susceptible to high levels of neuroticism and perceived stress. We identified a lack of research into some cognitive domains, such as executive function, which should be addressed by future studies.

Protocol for a Mixed-Methods Process Evaluation of BetterBrains: A Person-Centered Online Intervention to Delay Cognitive Decline in Adults at Risk of Dementia.

BACKGROUND: The BetterBrains Randomized Controlled Trial (RCT) will evaluate the effectiveness of an online, person-centered, risk factor management, coaching intervention in community-dwelling, healthy adults at risk of cognitive decline. Multi-component interventions are challenging to evaluate due to program complexity and personalization to individual needs and contexts. This paper describes a multi-level process evaluation conducted alongside the BetterBrains RCT. OBJECTIVE: To understand how and why the BetterBrains intervention was effective or ineffective at reducing cognitive decline in healthy adults whilst considering the context in which it was implemented. METHODS: 1,510 non cognitively-deteriorated community-dwelling adults aged 40-70 years old at risk of cognitive decline will be recruited and randomly assigned to the intervention or control group. All BetterBrains intervention participants, coaches, and the research team will be included in the evaluation. A mixed-methods design will be used, guided by The Framework for Implementation Fidelity and the program logic model. Data will be sourced from interviews, focus groups, surveys, BetterBrains coach notes, participant weekly check-in surveys, and audio recordings of intervention coaching sessions. Quantitative data will be analyzed via descriptive and inferential statistics and qualitative data will be analyzed using content and thematic analysis. RESULTS: The process evaluation will provide information about contextual and influencing factors related to the implementation of BetterBrains and the RCT outcomes. CONCLUSION: Understanding how BetterBrains was implemented and its associated impacts will inform the translation of the program into community and clinical settings, providing easy access to online, personalized dementia prevention services.

Association of Neighborhood-Level Socioeconomic Measures With Cognition and Dementia Risk in Australian Adults.

Importance: Up to 40% of dementia cases are potentially preventable; therefore, it is important to identify high-risk groups to whom resources could be targeted for maximal impact in preventing late-life dementia. The association of neighborhood-level socioeconomic status (SES) with cognition and dementia risk is not well known, particularly in midlife when late-life dementia may still be preventable through established interventions, such as blood pressure management. Objective: To examine whether neighborhood-level SES is associated with differences in cognitive performance and dementia risk scores. Design, Setting, and Participants: This cross-sectional study analyzed data collected between November 17, 2016, and April 14, 2020, from 4656 participants in the longitudinal population-based Healthy Brain Project cohort. This large online cohort comprised community-dwelling individuals geographically dispersed across Australia. Participants were aged 40 to 70 years without dementia or other major neurological conditions. Exposures: Neighborhood-level SES was computed by matching participants' residential addresses to the Australian Bureau of Statistics Index of Relative Socio-economic Advantage and Disadvantage (IRSAD). Postcodes provided by each participant were used to derive an IRSAD score that ranked participants according to deciles of neighborhood-level SES (range, 1-10, with higher deciles indicating greater socioeconomic advantage); neighborhoods in deciles 1 to 7 were considered to have low or intermediate SES, and neighborhoods in deciles 8 to 10 were considered to have high SES. Main Outcomes and Measures: Dementia risk estimated using the dementia risk score from the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) tool (n = 4656) and cognitive composite scores for memory and attention measured by the Cogstate Brief Battery (n = 2181). Results: Of 4656 participants (mean [SD] age, 56.1 [7.2] years; 3445 women [74.0%]), 2688 individuals (57.7%) lived in areas with high neighborhood-level SES (IRSAD decile ≥8), and 1968 (42.3%) lived in areas with low or intermediate neighborhood-level SES (IRSAD decile <8), with 1263 individuals (27.1%) residing in rural or regional areas. A total of 6 participants (0.1%) identified as African, 121 (2.6%) as Asian, 57 (1.2%) as Indigenous Australian, 24 (0.5%) as Latin American, 9 (0.2%) as Pacific Islander, 3671 (78.8%) as White or European, and 768 (16.5%) indicated other race (not specified). Each decile unit increase in neighborhood-level SES was associated with a lower CAIDE dementia risk score after adjustment for race and rurality (ß [SE] = -0.070 [0.019]; P = .004). Each decile unit increase was also associated with better memory (ß [SE] = 0.022 [0.006]; P = .006) but not with better attention (ß [SE] = 0.009 [0.007]; P = .34), as measured by Cogstate Brief Battery composite z scores after adjustment for age, sex, race, years of education, and rurality. When comparing memory performance between individuals with IRSAD scores higher and lower than decile 8, neighborhood-level SES interacted with age (F1-2171 = 6.33; P = .02) and CAIDE dementia risk scores (F1-2173 = 4.02; P = .08). Differences in memory between neighborhood-level SES categories were larger among participants who were older and had a higher risk of dementia. Conclusions and Relevance: In this study, higher neighborhood-level SES was associated with better memory and lower dementia risk scores. These results suggest that efforts to lower dementia risk factors in disadvantaged areas are needed to curtail the increasing burden of dementia and that inclusion of individuals living in areas with lower SES in research on dementia is warranted to improve understanding and potential interventions.

The relationship between cognitive engagement and better memory in midlife.

INTRODUCTION: Engagement in cognitively stimulating work and activities may slow cognitive decline and dementia. We examined the individual and combined associations of four cognitive engagement indices (educational attainment, occupational complexity, social engagement, and cognitively stimulating leisure activities) with objective and subjective cognition. METHODS: Middle-aged adults (n = 1864) enrolled in the Healthy Brain Project completed the Cogstate Brief Battery, the Cognitive Function Instrument, and self-report questionnaires of cognitive engagement. RESULTS: Educational attainment and leisure activity engagement were individually associated with memory performance. Participants were classified based on whether they rated highly in zero to four cognitive engagement indices. Compared to participants with no indices, participants with two or more indices performed moderately better on memory. DISCUSSION: Results suggest that greater variety of cognitive engagement across different areas of life is related to better memory in midlife. Possible explanation for this relationship may be increased opportunity for enhancing cognitive reserve, but further investigations are required.

Differential Effects of APOE and Modifiable Risk Factors on Hippocampal Volume Loss and Memory Decline in Aß- and Aß+ Older Adults.

BACKGROUND AND OBJECTIVES: This prospective study sought to determine the association of modifiable/nonmodifiable components included in the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) risk score with hippocampal volume (HV) loss and episodic memory (EM) decline in cognitively normal (CN) older adults classified as brain ß-amyloid (Aß) negative (Aß-) or positive (Aß+). METHODS: Australian Imaging, Biomarkers and Lifestyle study participants (age 58-91 years) who completed ≥2 neuropsychological assessments and a brain Aß PET scan (n = 592) were included in this study. We computed the CAIDE risk score (age, sex, APOE ε4 status, education, hypertension, body mass index [BMI], hypercholesterolemia, physical inactivity) and a modifiable CAIDE risk score (CAIDE-MR; education, hypertension, BMI, hypercholesterolemia, physical inactivity) for each participant. Aß+ was classified using Centiloid >25. Linear mixed models assessed interactions between each CAIDE score, Aß group, and time on HV loss and EM decline. Age, sex, and APOE ε4 were included as separate predictors in CAIDE-MR models to assess differential associations. Exploratory analyses examined relationships between individual modifiable risk factors and outcomes in Aß- cognitively normal (CN) adults. RESULTS: We observed a significant Aß group × CAIDE × time interaction on HV loss (ß [SE] = -0.04 [0.01]; p < 0.000) but not EM decline (ß [SE] = -2.33 [9.96]; p = 0.98). Decomposition revealed a significant CAIDE × time interaction in Aß+ participants only. When modifiable/nonmodifiable CAIDE components were considered separately, we observed a significant Aß group × CAIDE-MR × time interaction on EM decline only (ß [SE] = 3.03 [1.18]; p = 0.01). A significant CAIDE-MR score × time interaction was observed in Aß- participants only. Significant interactions between APOE ε4 and age × time on HV loss and EM decline were observed in both groups. Exploratory analyses in Aß- CN participants revealed a significant interaction between BMI × time on EM decline (ß [SE] = -3.30 [1.43]; p = 0.02). DISCUSSION: These results are consistent with studies showing that increasing age and APOE ε4 are associated with increased rates of HV loss and EM decline. In Aß- CN adults, lower prevalence of modifiable cardiovascular risk factors was associated with less HV loss and EM decline over ∼10 years, suggesting interventions to reduce modifiable cardiovascular risk factors could be beneficial in this group.