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Strategies to prevent or delay Alzheimers disease and related dementias (AD/ADRD) are urgently needed, and blood pressure (BP) management is a promising strategy. Yet the effects of different BP control strategies across the life course on AD/ADRD are unknown. Randomized trials may be infeasible due to prolonged follow-up and large sample sizes. Simulation analysis is a practical approach to estimating these effects using the best available existing data. However, existing simulation frameworks cannot estimate the effects of BP control on both dementia and cardiovascular disease. This manuscript describes the design principles, implementation details, and population-level validation of a novel population-health microsimulation framework, the MIchigan ChROnic Disease SIMulation (MICROSIM), for The Effect of Lower Blood Pressure over the Life Course on Late-life Cognition in Blacks, Hispanics, and Whites (BP-COG) study of the effect of BP levels over the life course on dementia and cardiovascular disease. MICROSIM is an agent-based Monte Carlo simulation designed using computer programming best practices. MICROSIM estimates annual vascular risk factor levels and transition probabilities in all-cause dementia, stroke, myocardial infarction, and mortality in a nationally representative sample of US adults 18+ using the National Health and Nutrition Examination Survey (NHANES). MICROSIM models changes in risk factors over time, cognition and dementia using changes from a pooled dataset of individual participant data from 6 US prospective cardiovascular cohort studies. Cardiovascular risks were estimated using a widely used risk model and BP treatment effects were derived from meta-analyses of randomized trials. MICROSIM is an extensible, open-source framework designed to estimate the population-level impact of different BP management strategies and reproduces US population-level estimates of BP and other vascular risk factors levels, their change over time, and incident all-cause dementia, stroke, myocardial infarction, and mortality.

BACKGROUND: Depressive symptoms, brain-derived neurotrophic factor (BDNF) Val66Met, and apolipoprotein (APOE)-ε4 may moderate response to computerized cognitive training (CCT) interventions among patients with heart failure (HF). OBJECTIVES: The purpose of this study was to examine moderators of intervention response to CCT over 8 months among patients with HF enrolled in a 3-arm randomized controlled trial. Outcomes were memory, serum BDNF, working memory, instrumental activities of daily living (IADLs), and health-related quality of life (HRQL). METHODS: 256 patients with HF were randomized to CCT, computerized crossword puzzles active control, and usual care control groups for 8 weeks. Data were collected at enrollment, baseline, 10 weeks, and 4 and 8 months. Mixed effects models were computed to evaluate moderators. RESULTS: As previously reported, there were no statistically significant group by time effects in outcomes among the 3 groups over 8 months. Tests of moderation indicated that depressive symptoms and presence of BDNF Val66Met and APOE-ε4 were not statistically significant moderators of intervention response in outcomes of delayed recall memory, serum BDNF, working memory, IADLs, and HRQL. In post hoc analysis evaluating baseline global cognitive function, gender, age, and HF severity as moderators, no significant effects were found. HF severity was imbalanced among groups (P = .049) which may have influenced results. CONCLUSIONS: Studies are needed to elucidate biological mechanisms of cognitive dysfunction in HF and test novel interventions to improve memory, serum BDNF, working memory, IADLs and HRQL. Patients may need to be stratified or randomized by HF severity within intervention trials.

BackgroundThe objective of this 3-arm randomized controlled trial was to evaluate the efficacy of computerized cognitive training (CCT) in improving primary outcomes of delayed-recall memory and serum brain-derived neurotrophic factor (BDNF) levels; and the secondary outcomes were working memory, instrumental activities of daily living (IADLs) and health-related quality of life (HRQL) in patients with heart failure (HF).Methods and resultsPatients (n = 256) were randomly assigned to 8 weeks of CCT using BrainHQ, computerized crossword puzzles active control intervention, and usual care. All patients received weekly nurse-enhancement interventions. Data were collected at enrollment and baseline visits and at 10 weeks and 4 and 8 months. In mixed effects models, there were no statistically significant group or group-by-time differences in outcomes. There were statistically significant differences over time in all outcomes in all groups. Patients improved over time on measures of delayed-recall memory, working memory, IADLs, and HRQL and had decreased serum BDNF.ConclusionsCCT did not improve outcomes compared with the active control intervention and usual care. Nurse-enhancement interventions may have led to improved outcomes over time. Future studies are needed to test nurse-enhancement interventions in combination with other cognitive interventions to improve memory in persons with HF.

BackgroundEthnic differences in cognitive decline have been reported. Whether they can be explained by differences in systolic blood pressure (SBP) is uncertain.ObjectiveDetermine whether cumulative mean SBP levels explain differences in cognitive decline between Hispanic and White individuals.MethodsPooled cohort study of individual participant data from six cohorts (1971-2017). The present study reports results on SBP and cognition among Hispanic and White individuals. Outcomes were changes in global cognition (GC) (primary), executive function (EF) (secondary), and memory standardized as t-scores (mean [SD], 50 [10]); a 1-point difference represents a 0.1 SD difference in cognition. Median follow-up was 7.7 (Q1-Q3, 5.2-20.1) years.ResultsWe included 24,570 participants free of stroke and dementia: 2,475 Hispanic individuals (median age, cumulative mean SBP at first cognitive assessment, 67 years, 132.5 mmHg; 40.8% men) and 22,095 White individuals (60 years,134 mmHg; 47.3% men). Hispanic individuals had slower declines in GC, EF, and memory than White individuals when all six cohorts were examined. Two cohorts recruited Hispanic individuals by design. In a sensitivity analysis, Hispanic individuals in these cohorts had faster decline in GC, similar decline in EF, and slower decline in memory than White individuals. Higher time-varying cumulative mean SBP was associated with faster declines in GC, EF, and memory in all analyses. After adjusting for time-varying cumulative mean SBP, differences in cognitive slopes between Hispanic and White individuals did not change.ConclusionWe found no evidence that cumulative mean SBP differences explained differences in cognitive decline between Hispanic and White individuals.

BackgroundMeta-analyses of individuals' cognitive data are increasing to investigate the biomedical, lifestyle, and sociocultural factors that influence cognitive decline and dementia risk. Pre-statistical harmonization of cognitive instruments is a critical methodological step for accurate cognitive data harmonization, yet specific approaches for this process are unclear.ObjectiveTo describe pre-statistical harmonization of cognitive instruments for an individual-level meta-analysis in the blood pressure and cognition (BP COG) study.MethodsWe identified cognitive instruments from six cohorts (the Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, Coronary Artery Risk Development in Young Adults study, Framingham Offspring Study, Multi-Ethnic Study of Atherosclerosis, and Northern Manhattan Study) and conducted an extensive review of each item's administration and scoring procedures, and score distributions.ResultsWe included 153 cognitive instrument items from 34 instruments across the six cohorts. Of these items, 42%were common across ≥2 cohorts. 86%of common items showed differences across cohorts. We found administration, scoring, and coding differences for seemingly equivalent items. These differences corresponded to variability across cohorts in score distributions and ranges. We performed data augmentation to adjust for differences.ConclusionCross-cohort administration, scoring, and procedural differences for cognitive instruments are frequent and need to be assessed to address potential impact on meta-analyses and cognitive data interpretation. Detecting and accounting for these differences is critical for accurate attributions of cognitive health across cohort studies.

IntroductionFederally funded Alzheimer's Disease Centers in the United States have been using a standardized neuropsychological test battery as part of the National Alzheimer's Coordinating Center Uniform Data Set (UDS) since 2005. Version 3 (V3) of the UDS replaced the previous version (V2) in 2015. We compared V2 and V3 neuropsychological tests with respect to their ability to distinguish among the Clinical Dementia Rating (CDR) global scores of 0, 0.5, and 1.MethodsFirst, we matched participants receiving V2 tests (V2 cohort) and V3 tests (V3 cohort) in their cognitive functions using tests common to both versions. Then, we compared receiver-operating characteristic (ROC) area under the curve in differentiating CDRs for the remaining tests.ResultsSome V3 tests performed better than V2 tests in differentiating between CDR 0.5 and 0, but the improvement was limited to Caucasian participants.DiscussionFurther efforts to improve the ability for early identification of cognitive decline among diverse racial groups are required.

Although previous studies have observed increased global network integration during tasks in persons with mild cognitive impairment (MCI), the association between this integration and actual task performance has remained unexplored. Understanding this link is crucial for uncovering the underlying mechanism behind these changes in network integration and their potential role in MCI. Here, to find such a link, we investigated brain network integration derived from electroencephalography recordings during a visual motion discrimination task in older adults with MCI and those with normal cognition. We focused on a critical period just before stimulus presentation, which is known to be important for task performance. Our results revealed that during this period, MCI patients exhibited increased network integration compared to controls. Interestingly, increased integration was associated with worse task performance in the MCI group, suggesting it was not beneficial. No such association was found in the control group. Notably, this difference existed despite similar overall task performance between the groups. This suboptimal integration pattern during the cognitive task might reflect network de‐differentiation due to disinhibition in MCI patients. Collectively, our study highlights the potential of analysing network integration during tasks to identify cognitive impairment and suggest a distinct role for network integration in MCI patients compared with healthy controls. [ABSTRACT FROM AUTHOR]

Cumulative lifetime adversity and social support were investigated as determinants of psychosocial adjustment (esteem, distress, hopefulness, positive outlook/future aspirations, and sense of purpose) over 12 months in 6-10-years-old HIV-infected, HIV-exposed uninfected and HIV-unexposed uninfected children from Uganda. Each determinant and psychosocial adjustment indicator was self-reported using standardized questionnaires administered at baseline, 6, and 12 months. Linear mixed effects models were used to relate time-varying lifetime adversity and social support to psychosocial adjustment over 12 months. Regardless of HIV status, higher adversity predicted lower esteem (coefficient b = -2.98, 95% confidence interval (CI): [-4.62, -1.35]) and increased distress (b =3.96, 95% CI: [1.29, 6.62]) but was not associated with hopefulness, positive outlook or sense of purpose. Low social support predicted higher distress (b =9.05, 95% CI: [7.36, 10.73]), lower positive outlook (b = -10.56, 95% CI: [-2.34, -8.79]) and low sense of purpose (b = -9.90, 95% CI: [-11.44, -8.36]) over 12 months. Pragmatic interventions that enhance coping with adversity and provide emotional/instrumental support should be tested for effectiveness in promoting resilient psychosocial adjustment trajectory in vulnerable children.

Caregiver's and child's self-reported quality of life (QOL) was defined using standardized questionnaires in a sample (N = 277) of 6-10 years old HIV-infected, HIV-exposed uninfected, and HIV-unexposed uninfected children from Uganda. Psychosocial stress (acute stress and cumulative lifetime adversity) and physiologic stress (dysregulations across 13 biomarkers), perinatal HIV status, and their interaction were related to child QOL via general linear models. Lower child- and caregiver-reported psychosocial stress were dose-dependently associated with higher QOL (acute stress: mean difference coefficient b = 8.1-14.8, effect size [ES] = 0.46-0.83). Lower allostasis was dose-dependently associated with higher QOL (b = 6.1-9.7, ES = 0.34-0.54). Given low caregiver acute stress, QOL for HIV-infected was similar to HIV-uninfected children; however, given high caregiver acute stress, a QOL disadvantage (b = -7.8, 95% CI: -12.8, -2.8; ES = -0.73) was evident for HIV-infected versus uninfected children. Testing of caregiver stress reduction interventions is warranted to increase wellbeing in dependent children.

BACKGROUND:Memory loss is an independent predictor of mortality among heart failure patients. Twenty-three percent to 50% of heart failure patients have comorbid memory loss, but few interventions are available to treat the memory loss. The aims of this 3-arm randomized controlled trial were to (1) evaluate efficacy of computerized cognitive training intervention using BrainHQ to improve primary outcomes of memory and serum brain-derived neurotrophic factor levels and secondary outcomes of working memory, instrumental activities of daily living, and health-related quality of life among heart failure patients; (2) evaluate incremental cost-effectiveness of BrainHQ; and (3) examine depressive symptoms and genomic moderators of BrainHQ effect. METHODS:A sample of 264 heart failure patients within 4 equal-sized blocks (normal/low baseline cognitive function and gender) will be randomly assigned to (1) BrainHQ, (2) active control computer-based crossword puzzles, and (3) usual care control groups. BrainHQ is an 8-week, 40-hour program individualized to each patient's performance. Data collection will be completed at baseline and at 10 weeks and 4 and 8 months. Descriptive statistics, mixed model analyses, and cost-utility analysis using intent-to-treat approach will be computed. CONCLUSIONS:This research will provide new knowledge about the efficacy of BrainHQ to improve memory and increase serum brain-derived neurotrophic factor levels in heart failure. If efficacious, the intervention will provide a new therapeutic approach that is easy to disseminate to treat a serious comorbid condition of heart failure.

IntroductionThe neuropsychological battery of the Uniform Data Set (UDSNB) was implemented in 2005 by the National Institute on Aging (NIA) Alzheimer Disease Centers program to measure cognitive performance in dementia and mild cognitive impairment due to Alzheimer Disease. This paper describes a revision, the UDSNB 3.0.MethodsThe Neuropsychology Work Group of the NIA Clinical Task Force recommended revisions through a process of due diligence to address shortcomings of the original battery. The UDSNB 3.0 covers episodic memory, processing speed, executive function, language, and constructional ability. Data from 3602 cognitively normal participants in the National Alzheimer Coordinating Center database were analyzed.ResultsDescriptive statistics are presented. Multivariable linear regression analyses demonstrated score differences by age, sex, and education and were also used to create a normative calculator available online.DiscussionThe UDSNB 3.0 neuropsychological battery provides a valuable non proprietary resource for conducting research on cognitive aging and dementia.

Objectives: Identify which NIH Toolbox Cognition Battery (NIHTB-CB) subtest(s) best differentiate healthy controls (HC) from those with amnestic mild cognitive impairment (aMCI) and compare the discriminant accuracy between a model using a priori "Norm Adjusted" scores versus "Unadjusted" standard scores with age, sex, race/ethnicity, and education controlled for within the model. Racial differences were also examined. Methods: Participants were Black/African American (B/AA) and White consensus-confirmed (HC = 96; aMCI = 62) adults 60–85 years old that completed the NIHTB-CB for tablet. Discriminant function analysis (DFA) was used in the Total Sample and separately for B/AA (n = 80) and White participants (n = 78). Results: Picture Sequence Memory (an episodic memory task) was the highest loading coefficient across all DFA models. When stratified by race, differences were noted in the pattern of the highest loading coefficients within the DFAs. However, the overall discriminant accuracy of the DFA models in identifying HCs and those with aMCI did not differ significantly by race (B/AA, White) or model/score type (Norm Adjusted versus Unadjusted). Conclusions: Racial differences were noted despite the use of normalized scores or demographic covariates—highlighting the importance of including underrepresented groups in research. While the models were fairly accurate at identifying consensus-confirmed HCs, the models proved less accurate at identifying White participants with an aMCI diagnosis. In clinical settings, further work is needed to optimize computerized batteries and the use of NIHTB-CB norm adjusted scores is recommended. In research settings, demographically corrected scores or within model correction is suggested. [ABSTRACT FROM AUTHOR]

Background: The accelerated aging of the world's population will lead to an increase in the number of older people in the workforce. Computerized Cognitive Training (CCT) is effective in improving cognitive outcomes, but its benefits for older workers remain controversial. We investigate the real-world efficacy of CCT in the workplace, focusing on employees aged 50+ years from a public sector agency. Methods: Case managers (n = 82) were randomized to either an intervention group (24 40 min CCT sessions two times per week) or a waiting list passive control group. Cognitive ability, well-being, job satisfaction, and productivity outcome measures were collected and assessed before and after CCT or the comparable control wait time. Results: Participants undergoing CCT improved on a task of executive functioning (p = 0.04). There was a trend toward a change in work productivity after CCT (p = 0.09), with the control group showing a significant decrease (p = 0.02), while the intervention group remained stable. Conclusions: CCT during office hours has a positive effect on cognition and well-being without affecting productivity among white-collar office workers. CCT could be considered as an intervention to support the older workforce in managing the cognitive and behavioral challenges of changing workplace demands. [ABSTRACT FROM AUTHOR]

Background: Alzheimer's disease and related dementias (ADRD) present growing global health challenges, especially in aging populations, such as Uganda. In Uganda, familial caregiving, predominantly undertaken by female relatives, is the primary form of support provided to patients with ADRD. Cultural stigma around dementia and limited access to support services amplify caregivers' challenges. This study examined psychological distress, depression, and quality of life (QoL) among family caregivers of patients with ADRD in Wakiso District, Uganda. Methods: This cross-sectional study involved 90 caregivers from three sub-counties in Wakiso, selected through purposive sampling to capture diverse experiences. Participants included caregivers aged 18 years and older who were knowledgeable and had cared for a person with ADRD for not less than six months, with those providing more than 70% of physical care being prioritised. Data were collected using the Kessler Psychological Distress Scale, the Caregiver Dementia Quality of Life Measurement Scale, and the Center for Epidemiologic Studies Depression Scale, with an 80% response rate achieved through local collaboration. The statistical analyses focused on psychological distress, QoL, and depression. Results: The study included 82.2% females and 17.8% males, with a median age of 52 years for females and 35 years, respectively. Females were more likely to be single or widowed, whereas males were more likely to be married. The study revealed a high prevalence of psychological distress and depression among caregivers (64.4%) regardless of sex. The analysis indicated that having children was a significant predictor of better QoL (OR 3.04, 95% CI 1.79–5.66, p = 0.034) and a lower risk of depression (OR 0.10, 95% CI 0.01–0.86, p = 0.036). No other sociodemographic factors were significantly associated with health outcomes across the models. Conclusion: Our findings revealed a heavy burden of psychological distress and depression among Ugandan caregivers of patients with ADRD, highlighting the need for structured support systems, including mental health services and gender-responsive interventions in low-resource settings. [ABSTRACT FROM AUTHOR]

While the positive effects of physical activity (PA) on mental health are well documented, limited research has explored its influence on the positive psychological well-being in elderly individuals. This study examined the effects of a multi-component PA intervention on various facets of psychological well-being among older adults residing in retirement homes. Fifty-eight elderly individuals (mean age = 83.8 years, 76.3% female) residing in retirement homes participated either in either a 12 week multi-component PA intervention program or in an attention control group. Those in the intervention group engaged in supervised group exercise lessons for 45 min, three times per week, and used wearable activity monitors during weekdays over 12 weeks. Assessments were conducted before and after the intervention to measure happiness, life satisfaction, eudaimonic well-being, and depressive symptoms, which are four components of psychological well-being. On average, those in the intervention group attended about 86.9% of group exercise sessions and used the activity trackers for 97.5% of the designated days. Results from linear mixed models indicated that the intervention had a positive effect on happiness in the intervention group, but not in the control group. Nonetheless, no significant differences were found in terms of changes in eudaimonic well-being, life satisfaction, and depressive symptoms between the two groups. This selective impact on different dimensions of psychological well-being implies that subsequent research could explore the integration of more comprehensive components in PA interventions targeting all dimensions of psychological well-being, as each of them is a key aspect of healthy aging and independently related to a range of health outcomes amongst older adults. Plain language summary: This study aimed to examine the impact of a multi-component physical activity (PA) intervention on psychological well-being in older adults living in retirement communities. Fifty-eight participants (mean age = 83.8 years) were voluntarily assigned to a 12-week multi-component PA intervention program or an attention control group. Participants in the intervention group were asked to take three 45-min supervised group exercise lessons per week and wear wearable activity trackers during the weekdays for 12 weeks. Four components of psychological well-being were assessed at baseline and the end of the intervention including life satisfaction, happiness, eudaimonic well-being, and depressive symptoms. Linear mixed models revealed a significant positive intervention effect on happiness such that happiness improved in the intervention group but decreased in the comparison group. However, there was no significant difference between the two groups in terms of the changes in life satisfaction, eudaimonic well-being, and depressive symptoms. [ABSTRACT FROM AUTHOR]

Background: Construct validation of cognitive batteries across Africa is imperative to understanding dementia in the region. We examined construct validity and internal consistency of the neuropsychological battery of Uniform Data Set version 3 (UDSNB 3.0) of the Alzheimer Coordinating Center in Nigeria older adults. Method: Three hundred forty-nine (220 females; age: 65 to 85) community dwellers were recruited. UDSNB 3.0 with 12 subscales were used to measure cognition. Two sets of data were collected. First was for exploratory factor analysis (EFA) and second was confirmatory factor analysis (CFA). Four models were specified for CFA. Result: EFA principal axis factor with varimax rotation yielded 4 factors: Executive function, memory, visual-spatial ability, and processing speed. Four CFA were performed based on 4 specified models, with only model 3 showing good model fit: CMIN/DF= 2.13; confirmatory fit index=0.94; root mean square error of approximation =0.07. Model 3 had 5 latent variables: working memory, language, verbal memory, visual-spatial ability, and processing speed. UDSNB 3.0 had an overall Cronbach alpha of 0.73, suggesting strong internal reliability with ANOVA model F134,1619=183.65 significant at P< 0.001 level of testing. Conclusions: Our study showed that UDSNB 3.0 has construct validity and good internal consistency in our older adult population. [ABSTRACT FROM AUTHOR]