Construct validation of NIH Toolbox Cognition Battery premorbid cognitive functioning scores in Black and White older Americans with and without mild cognitive impairment.

OBJECTIVE: Valid estimates of premorbid cognitive functioning (PMIQ) are crucial for the assessment of older adults at risk for Alzheimer's disease. We investigated the relationship between the NIH Toolbox-Cognition Battery's (NIHTB-CB) Oral Reading Recognition (ORR) subtest and Wechsler Test of Adult Reading scores (WTAR, convergent validity). We also compared ORR to NIHTB-CB Flanker scores, where null relationships were expected (discriminant validity). METHODS: The WTAR and NIHTB-CB were administered to 130 cognitively normal (CN) and 113 participants with mild cognitive impairment (MCI). Participants were community-dwelling, older Black and White adults, ages 55-88 years. Data analysis used uncorrected standard scores and Bayesian bivariate correlations. Supplemental materials include intraclass correlations. RESULTS: ORR and WTAR scores were strongly positively associated, while ORR and Flanker scores were unrelated. This pattern held when restricting analyses to the two cognitive status groups, the two racial groups, and the four race-by-diagnosis subgroups. CONCLUSION: The findings demonstrate convergent and discriminant validity and support NIHTB-CB ORR scores as valid estimates of scores on a PMIQ measure in older Black and White adults with and without MCI.

Evaluation of the Uniform Data Set version 3 teleneuropsychological measures.

OBJECTIVE: Few studies have evaluated in-home teleneuropsychological (teleNP) assessment and none, to our knowledge, has evaluated the National Alzheimer's Coordinating Center's (NACC) Uniform Data Set version 3 tele-adapted test battery (UDS v3.0 t-cog). The current study evaluates the reliability of the in-home UDS v3.0 t-cog with a prior in-person UDS v3.0 evaluation. METHOD: One hundred and eighty-one cognitively unimpaired or cognitively impaired participants from a longitudinal study of memory and aging completed an in-person UDS v3.0 and a subsequent UDS v3.0 t-cog evaluation (∼16 months apart) administered either via video conference (n = 122) or telephone (n = 59). RESULTS: We calculated intraclass correlation coefficients (ICCs) between each time point for the entire sample. ICCs ranged widely (0.01-0.79) but were generally indicative of "moderate" (i.e., ICCs ranging from 0.5-0.75) to "good" (i.e., ICCs ranging from 0.75-0.90) agreement. Comparable ICCs were evident when looking only at those with stable diagnoses. However, relatively stronger ICCs (Range: 0.35-0.87) were found between similarly timed in-person UDS v3.0 evaluations. CONCLUSIONS: Our findings suggest that most tests on the UDS v3.0 t-cog battery may serve as a viable alternative to its in-person counterpart, though reliability may be attenuated relative to the traditional in-person format. More tightly controlled studies are needed to better establish the reliability of these measures.

Psychological distress among family caregivers of persons with Alzheimer's disease and related dementias in Uganda.

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.

Computerized Cognitive Training and 24-Month Mortality in Heart Failure.

BACKGROUND: Cognitive dysfunction predicts mortality in heart failure (HF). Computerized cognitive training (CCT) has shown preliminary efficacy in improving cognitive function. However, the relationship between CCT and mortality is unclear. Aims were to evaluate (1) long-term efficacy of CCT in reducing 24-month mortality and (2) age, HF severity, global cognition, memory, working memory, depressive symptoms, and health-related quality of life as predictors of 24-month mortality among patients with HF. METHODS: In this prospective longitudinal study, 142 patients enrolled in a 3-arm randomized controlled trial were followed for 24 months. Logistic regression was used to achieve the aims. RESULTS: Across 24 months, 16 patients died (CCT, 8.3%; control groups, 12.8%). Computerized cognitive training did not predict 24-month mortality (odds ratio [OR], 0.65). Older age (OR, 1.08), worse global cognition (OR, 0.73), memory (OR, 0.81), and depressive symptoms (OR, 1.10) at baseline predicted 24-month mortality. CONCLUSIONS: Efficacious interventions are needed to improve global cognition, memory, and depressive symptoms and reduce mortality in HF.

Atrial Fibrillation and Older Age Predict Serum Brain-Derived Neurotrophic Factor Levels Among Patients With Heart Failure.

BACKGROUND: Predictors have not been determined of serum brain-derived neurotrophic factor (BDNF) levels among patients with heart failure (HF). OBJECTIVE: The primary purpose was to evaluate history of atrial fibrillation, age, gender, and left ventricular ejection fraction as predictors of serum BDNF levels at baseline, 10 weeks, and 4 and 8 months after baseline among patients with HF. METHODS: This study was a retrospective cohort analyses of 241 patients with HF. Data were retrieved from the patients' health records (coded history of atrial fibrillation, left ventricular ejection fraction), self-report (age, gender), and serum BDNF. Linear multiple regression analyses were conducted. RESULTS: One hundred three patients (42.7%) had a history of atrial fibrillation. History of atrial fibrillation was a significant predictor of serum BDNF levels at baseline (ß = -0.16, P = .016), 4 months (ß = -0.21, P = .005), and 8 months (ß = -0.19, P = .015). Older age was a significant predictor at 10 weeks (ß = -0.17, P = .017) and 4 months (ß = -0.15, P = .046). CONCLUSIONS: Prospective studies are needed to validate these results. Clinicians need to assess patients with HF for atrial fibrillation and include treatment of it in management plans.

In utero/peripartum antiretroviral therapy exposure and mental health outcomes at 8-18 years old: A longitudinal comparative study of children with perinatally acquired HIV, children perinatally HIV exposed but uninfected, and children unexposed uninfected from Uganda.

In utero/peripartum antiretroviral therapy (IPA) exposure type was examined in relationship to mental health symptoms among 577 children with perinatally acquired HIV (CPHIV), children perinatally HIV exposed but uninfected (CHEU), and children HIV unexposed uninfected (CHUU). IPA exposure was categorized for CPHIV and CHEU as none, single-dose nevirapine with or without zidovudine (sdNVP±AZT), sdNVP+AZT+lamivudine (3TC), or combination antiretroviral therapy (cART). Anxiety and depressive symptoms were reported at baseline, 6-, and 12-month follow-up per behavioral assessment system for children. Multivariable linear mixed models were used to estimate differences (b) with 95% confidence intervals (95% CI) for IPA exposure types versus CHEU without IPA exposure. Depressive and anxiety symptoms were lower in CHUU relative to CHEU and CPHIV but did not differ between CPHIV and CHEU. CHEU with sdNVP±AZT exposure had greater anxiety (b = 0.51, 95% CI: [0.06, 0.96]) and depressive symptoms (b = 0.48, 95% CI: [0.07, 0.89]) than CHEU without IPA exposure. CHEU with sdNVP+AZT+3TC exposure had higher anxiety (b = 0.0.45, 95% CI: [0.03, 0.86]) and depressive symptoms (b = 0.72, 95% CI: [0.27, 1.17]) versus CHEU without IPA exposure. Depressive and anxiety symptoms were not different for CHEU and CPHIV exposed to cART (b = 0.12-0.60, 95% CI: [-0.41, 1.30]) and CHEU and CHUU (b = -0.04 to 0.08, 95% CI: [-0.24, 0.29]) without IPA exposure. Among CHEU, peripartum sdNVP±AZT and sdNVP+AZT+3TC but not cART compared to no IPA exposure was associated with clinically important elevations in anxiety and depressive symptoms. Monitoring of mental health trajectory of HIV-affected children considering IPA is needed to inform mental health interventions. Patient Contribution: Caregivers and their dependents provided consent for participation and collaborated with study team to identify mutually convenient times for protocol implementation.

Novel methodology for detection and prediction of mild cognitive impairment using resting-state EEG.

BACKGROUND: Early discrimination and prediction of cognitive decline are crucial for the study of neurodegenerative mechanisms and interventions to promote cognitive resiliency. METHODS: Our research is based on resting-state electroencephalography (EEG) and the current dataset includes 137 consensus-diagnosed, community-dwelling Black Americans (ages 60-90 years, 84 healthy controls [HC]; 53 mild cognitive impairment [MCI]) recruited through Wayne State University and Michigan Alzheimer's Disease Research Center. We conducted multiscale analysis on time-varying brain functional connectivity and developed an innovative soft discrimination model in which each decision on HC or MCI also comes with a connectivity-based score. RESULTS: The leave-one-out cross-validation accuracy is 91.97% and 3-fold accuracy is 91.17%. The 9 to 18 months' progression trend prediction accuracy over an availability-limited subset sample is 84.61%. CONCLUSION: The EEG-based soft discrimination model demonstrates high sensitivity and reliability for MCI detection and shows promising capability in proactive prediction of people at risk of MCI before clinical symptoms may occur.

Patient Cognitive Status and Physician Recommendations for Cardiovascular Disease Treatment: Results of Two Nationwide, Randomized Survey Studies.

BACKGROUND: Clinical guidelines recommend that older patients (65+) with mild cognitive impairment (MCI) and early-stage dementia receive similar guideline-concordant care after cardiovascular disease (CVD) events as those with normal cognition (NC). However, older patients with MCI and dementia receive less care for CVD and other conditions than those with NC. Whether physician recommendations for guideline-concordant treatments after two common CVD events, acute myocardial infarction (AMI) and acute ischemic stroke (stroke), differ between older patients with NC, MCI, and early-stage dementia is unknown. OBJECTIVE: To test the influence of patient cognitive status (NC, MCI, early-stage dementia) on physicians' recommendations for guideline-concordant treatments for AMI and stroke. DESIGN: We conducted two parallel, randomized survey studies for AMI and stroke in the US using clinical vignettes where the hypothetical patient's cognitive status was randomized between physicians. PARTICIPANTS: The study included cardiologists, neurologists, and generalists who care for most patients hospitalized for AMI and stroke. MAIN MEASURES: The primary outcome was a composite quality score representing the number of five guideline-concordant treatments physicians recommended for a hypothetical patient after AMI or stroke. KEY RESULTS: 1,031 physicians completed the study (58.5% response rate). Of 1,031 respondents, 980 physicians had complete information. After adjusting for physician factors, physicians recommended similar treatments after AMI and stroke in hypothetical patients with pre-existing MCI (adjusted ratio of expected composite quality score, 0.98 [95% CI, 0.94, 1.02]; P = 0.36) as hypothetical patients with NC. Physicians recommended fewer treatments to hypothetical patients with pre-existing early-stage dementia than to hypothetical patients with NC (adjusted ratio of expected composite quality score, 0.90 [0.86, 0.94]; P < 0.001). CONCLUSION: In these randomized survey studies, physicians recommended fewer guideline-concordant AMI and stroke treatments to hypothetical patients with early-stage dementia than those with NC. We did not find evidence that physicians recommend fewer treatments to hypothetical patients with MCI than those with NC.

Mild Cognitive Impairment Subtype Performance in Comparison to Healthy Older Controls on the NIH Toolbox and Cogstate.

BACKGROUND: Early detection is necessary for the treatment of dementia. Computerized testing has become more widely used in clinical trials; however, it is unclear how sensitive these measures are to early signs of neurodegeneration. We investigated the use of the NIH Toolbox-Cognition (NIHTB-CB) and Cogstate-Brief computerized neuropsychological batteries in the identification of mild cognitive impairment (MCI) versus healthy older adults [healthy control (HC)] and amnestic (aMCI) versus nonamnestic MCI (naMCI). Exploratory analyses include investigating potential racial differences. METHODS: Two hundred six older adults were diagnosed as aMCI (n = 58), naMCI (n = 15), or cognitively healthy (HC; n = 133). RESULTS: The NIH Toolbox-CB subtests of Flanker, Picture Sequence Memory, and Picture Vocabulary significantly differentiated MCI from HC. Further, subtests from both computerized batteries differentiated patients with aMCI from those with naMCI. Although the main effect of race differences was noted on tests and in diagnostic groups was significant, there were no significant race-by-test interactions. CONCLUSIONS: Computer-based subtests vary in their ability to help distinguish MCI subtypes, though these tests provide less expensive and easier-to-administer clinical screeners to help identify patients early who may qualify for more comprehensive evaluations. Further work is needed, however, to refine computerized tests to achieve better precision in distinguishing impairment subtypes.

MindingMe: A Feasibility Study on Conducting Neuroimaging Research Among Diverse Groups.

BACKGROUND: Neuroimaging tools, such as functional magnetic resonance imaging, are useful in understanding differences in brain activity that predict behavior change. Designing interventions based on brain activity and response may enhance current self-management regimens. Yet, diverse groups, such as Black women with chronic illness, have historically been left out of neuroimaging research. OBJECTIVES: The aims of this study were to assess (a) the feasibility of conducting neuroimaging research among Black women with hypertension and (b) the predictors of willingness to participate in future studies. METHODS: A survey designed to assess interest in participating in neuroimaging research was distributed through a Facebook campaign targeting Metro-Detroit Blacks with hypertension. A 10-minute, 44-item survey queried the women regarding their perspectives related to participation in neuroimaging studies. Logistic regression analyses were conducted to predict willingness to participate in a future study; they included a range of predictors: demographic indicators, history of blood pressure diagnosis, systolic and diastolic blood pressure, and availability of a support person who could accompany the participant to a future study session. RESULTS: Two hundred fifty-seven Black women completed the survey. On average, the women were 59 years old, had been diagnosed with hypertension for 14 years, and had a systolic blood pressure of 141 mmHg. Participants were willing to travel 40 miles to participate, and many preferred to drive a personal vehicle. Some women were claustrophobic (20%) or had metal in their bodies (13%) and, therefore, would likely be ineligible to participate in neuroimaging studies. Some were nervous about the "small space" of a scanner, but others stated they would "enjoy participating" and wanted to "help future people…get well." Women who had a support person to attend their appointment with them were almost 4 times more likely to state they would participate in future studies. Those who had been diagnosed with hypertension for more than 11 years (the median) were almost 3 times more likely to report interest in participating in a future study than those participants who had been diagnosed with hypertension for 11 years or less. DISCUSSION: Black women with hypertension were interested and eligible to participate in neuroimaging research. Despite some of the facilitators and barriers we identified, the women in our sample were interested in participating in future studies. The presence of a support person and length of time with a hypertension diagnosis are important predictors of willingness to participate in a future study.

Baseline characterization of the ARMADA (Assessing Reliable Measurement in Alzheimer's Disease) study cohorts.

INTRODUCTION: The National Institutes of Health (NIH) Toolbox (NIHTB) provides computerized measures of cognition, emotion, sensation, and motor abilities across the lifespan. The ARMADA (Assessing Reliable Measurement in Alzheimer's Disease and Cognitive Aging) study validated the NIHTB in individuals across the cognitive aging spectrum. This article reports the characteristics of our sample of participants. METHODS: Participants were recruited across nine sites and classified clinically as cognitively normal (NC), with mild cognitive impairment (MCI), or with dementia of the Alzheimer's type (DAT.) They completed the NIHTB at multiple time points and many had at least one Alzheimer's biomarker previously obtained. RESULTS: Groups differed with respect to dementia severity levels, as anticipated, but were well-matched across many demographic characteristics. DISCUSSION: The ARMADA study demographics and baseline characteristics provide a suitable sample for validating the NIHTB across the cognitive aging spectrum. Other enriched samples (African American participants, Spanish NIHTB, 85+ years of age) will be reported elsewhere. HIGHLIGHTS: There is a need for assessments that can detect the early stages of cognitive decline in older adults. The ARMADA (Assessing Reliable Measurement in Alzheimer's Disease and Cognitive Aging) study will validate the National Institutes of Health (NIH) Toolbox across the aging spectrum, including mild cognitive impairment (MCI) and dementia of the Alzheimer's type (DAT). Here we report the characteristics of participants. Groups were well-matched across most demographic characteristics, and clinical characteristics differed as expected. ARMADA study cohorts reflect their respective clinical syndromes for validating the NIH Toolbox.

Influence of mild cognitive impairment on patient and care partner decision-making for acute ischemic stroke.

GOALS: Evidence suggests that patients with mild cognitive impairment (MCI) receive fewer treatments for acute ischemic stroke and other cardiovascular diseases than patients with normal cognition. Little is known about how patient and care partner preferences for ischemic stroke treatment differ between the patient population with MCI and the population with normal cognition. This study aimed to understand how patient MCI diagnosis influences patient and care partner decision-making for acute ischemic stroke treatments. METHODS: Multi-center qualitative study using in-person semi-structured interviews with 20 MCI and normal cognition patient-care partner dyads using a standard guide. The present study reports results on patient and care partner preferences for a clinical vignette patient to receive three non-invasive treatments (intravenous tissue plasminogen activator, inpatient rehabilitation, and secondary preventive medications) and two invasive treatments (feeding tube and carotid endarterectomy) after acute ischemic stroke. We used qualitative content analysis to identify themes. FINDINGS: We identified three major themes: (1) Patients with MCI desired non-invasive treatments after stroke, similar to patients with normal cognition and for similar reasons; (2) Patients with MCI expressed different preferences than patients with normal cognition for two invasive treatments after stroke: carotid endarterectomy and feeding tube placement; and (3) Patients with MCI expressed more skepticism of the stroke treatment options and less decisiveness in decision-making than patients with normal cognition. CONCLUSIONS: These results suggest that patient MCI diagnosis may contribute to differences in patient and care partner preferences for invasive treatments after stroke, but not for non-invasive treatments.

Randomized Controlled Trial of a Cognitive Intervention to Improve Memory in Heart Failure.

BACKGROUND: The 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 RESULTS: Patients (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. CONCLUSIONS: CCT 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.

The Association Between Mild Cognitive Impairment Diagnosis and Patient Treatment Preferences: a Survey of Older Adults.

BACKGROUND: Older patients (65+) with mild cognitive impairment (MCI) receive less guideline-concordant care for cardiovascular disease (CVD) and other conditions than patients with normal cognition (NC). One potential explanation is that patients with MCI want less treatment than patients with NC; however, the treatment preferences of patients with MCI have not been studied. OBJECTIVE: To determine whether patients with MCI have different treatment preferences than patients with NC. DESIGN: Cross-sectional survey conducted at two academic medical centers from February to December 2019 PARTICIPANTS: Dyads of older outpatients with MCI and NC and patient-designated surrogates. MAIN MEASURES: The modified Life-Support Preferences-Predictions Questionnaire score measured patients' preferences for life-sustaining treatment decisions in six health scenarios including stroke and acute myocardial infarction (range, 0-24 treatments rejected with greater scores indicating lower desire for treatment). KEY RESULTS: The survey response rate was 73.4%. Of 136 recruited dyads, 127 (93.4%) completed the survey (66 MCI and 61 NC). The median number of life-sustaining treatments rejected across health scenarios did not differ significantly between patients with MCI and patients with NC (4.5 vs 6.0; P=0.55). Most patients with MCI (80%) and NC (80%) desired life-sustaining treatments in their current health (P=0.99). After adjusting for patient and surrogate factors, the difference in mean counts of rejected treatments between patients with MCI and patients with NC was not statistically significant (adjusted ratio, 1.08, 95% CI, 0.80-1.44; P=0.63). CONCLUSION: We did not find evidence that patients with MCI want less treatment than patients with NC. These findings suggest that other provider and system factors might contribute to patients with MCI getting less guideline-concordant care.

The Quick Dementia Rating System and Its Relationship to Biomarkers of Alzheimer's Disease and Neuropsychological Performance.

INTRODUCTION: The Quick Dementia Rating System (QDRS) is a brief, patient-reported dementia staging tool that has approximated scores on the Clinical Dementia Rating Scale in patients with Alzheimer's disease (AD). However, no studies have examined its relationship with AD-related biomarkers. METHODS: One-hundred twenty-one older adults (intact, amnestic mild cognitive impairment, mild AD) completed the QDRS, and three biomarkers (amyloid deposition via positron emission tomography, hippocampal volume via magnetic resonance imaging, and apolipoprotein [APOE] ε4 status). RESULTS: The Total score on the QDRS was statistically significantly related to all three biomarkers (after controlling for age, education, sex, and race), with greater levels of dementia severity being associated with greater amyloid deposition, smaller hippocampi, and having copies of APOE ε4 allele. DISCUSSION: In participants across the cognitive spectrum, the QDRS showed modest relationships with amyloid deposition, hippocampal volumes, and APOE status. Therefore, the QDRS may offer a cost-effective screening method for clinical trials in AD.

Laptop-Administered NIH Toolbox and Cogstate Brief Battery in Community-Dwelling Black Adults: Unexpected Pattern of Cognitive Performance between MCI and Healthy Controls.

OBJECTIVE: Black adults are approximately twice as likely to develop Alzheimer's disease (AD) than non-Hispanic Whites and access diagnostic services later in their illness. This dictates the need to develop assessments that are cost-effective, easily administered, and sensitive to preclinical stages of AD, such as mild cognitive impairment (MCI). Two computerized cognitive batteries, NIH Toolbox-Cognition and Cogstate Brief Battery, have been developed. However, utility of these measures for clinical characterization remains only partially determined. We sought to determine the convergent validity of these computerized measures in relation to consensus diagnosis in a sample of MCI and healthy controls (HC). METHOD: Participants were community-dwelling Black adults who completed the neuropsychological battery and other Uniform Data Set (UDS) forms from the AD centers program for consensus diagnosis (HC = 61; MCI = 43) and the NIH Toolbox-Cognition and Cogstate batteries. Discriminant function analysis was used to determine which cognitive tests best differentiated the groups. RESULTS: NIH Toolbox crystallized measures, Oral Reading and Picture Vocabulary, were the most sensitive in identifying MCI apart from HC. Secondarily, deficits in memory and executive subtests were also predictive. UDS neuropsychological test analyses showed the expected pattern of memory and executive functioning tests differentiating MCI from HC. CONCLUSIONS: Contrary to expectation, NIH Toolbox crystallized abilities appeared preferentially sensitive to diagnostic group differences. This study highlights the importance of further research into the validity and clinical utility of computerized neuropsychological tests within ethnic minority populations.

Association of serum PUFA and linear growth over 12 months among 6-10 years old Ugandan children with or without HIV.

OBJECTIVE: To quantify PUFA-associated improvement in linear growth among children aged 6-10 years. DESIGN: Serum fatty acids (FA), including essential FA (EFA) (linoleic acid (LA) and α-linolenic acid (ALA)) were quantified at baseline using GC-MS technology. FA totals by class (n-3, n-6, n-9, PUFA and SFA) and FA ratios were calculated. Height-for-age Z-score (HAZ) relative to WHO population reference values were calculated longitudinally at baseline, 6 and 12 months. Linear regression models estimated PUFA, HIV status and their interaction-associated standardised mean difference (SMD) and 95 % CI in HAZ over 12 months. SETTING: Community controls and children connected to community health centre in Kampala, Uganda, were enrolled. PARTICIPANTS: Children perinatally HIV-infected (CPHIV, n 82), or HIV-exposed but uninfected (CHEU, n 76) and community controls (n 78). RESULTS: Relative to highest FA levels, low SFA (SMD = 0·31, 95 % CI: 0·03, 0·60), low Mead acid (SMD = 0·38, 95 % CI: 0·02, 0·74), low total n-9 (SMD = 0·44, 95 % CI: 0·08, 0·80) and low triene-to-tetraene ratio (SMD = 0·42, 95 % CI: 0·07, 0·77) predicted superior growth over 12 months. Conversely, low LA (SMD = -0·47, 95 % CI: -0·82, -0·12) and low total PUFA (sum of total n-3, total n-6 and Mead acid) (SMD = -0·33 to -0·39, 95 % CI: -0·71, -0·01) predicted growth deficit over 12 months follow-up, regardless of HIV status. CONCLUSION: Low n-3 FA (ALA, EPA and n-3 index) predicted growth deficits among community controls. EFA sufficiency may improve stature in school-aged children regardless of HIV status. Evaluating efficacy of diets low in total SFA, sufficient in EFA and enriched in n-3 FA for improving child growth is warranted.

Efficacy and acceptability of using wearable activity trackers in older adults living in retirement communities: a mixed method study.

BACKGROUND: Wearable activity trackers hold the potential for enhancing health and fitness, but the use of wearable activity trackers has remained largely unexplored in older adults. The purpose of the current study was to examine the effectiveness and acceptability of wearable activity trackers for promoting physical activity (PA) in older adults living in retirement communities. METHODS: Forty older adult participants (mean age = 85.4 years) used a wearable activity tracker (Fitbit InspireHR) for 12 weeks. Participants were provided with personalized activity goals and weekly feedback of PA during the 12 weeks. The main outcomes were daily step counts collected at baseline and the end of the intervention, and participants' experiences of using the wearable activity tracker assessed after the 12-week intervention through an 8-item questionnaire and individual interviews. RESULTS: Participants used the activity tracker on 97.5% of measured days and had an average increase of 900 steps/day (p < 0.001). The Acceptance questionnaire revealed that the wearable activity tracker was acceptable, useful, and easy to use. Participants found that wearable activity trackers helped improve self-awareness and motivation of PA but reported a few concerns regarding the comfort of wearing the activity trackers and the ease of reading visual feedback. CONCLUSIONS: Wearable activity trackers lead to a small but significant increase of PA and are perceived as acceptable and useful in older adults. Given the rapidly growing older population, wearable activity trackers are promising tools that could be used in large-scale interventions to improve PA and health in older adults. TRIAL REGISTRATION: Registered on Clinicaltrials.gov # NCT05233813 (Registered on 10/02/2022).

Use of blood pressure measurements extracted from the electronic health record in predicting Alzheimer's disease: A retrospective cohort study at two medical centers.

INTRODUCTION: Studies investigating the relationship between blood pressure (BP) measurements from electronic health records (EHRs) and Alzheimer's disease (AD) rely on summary statistics, like BP variability, and have only been validated at a single institution. We hypothesize that leveraging BP trajectories can accurately estimate AD risk across different populations. METHODS: In a retrospective cohort study, EHR data from Veterans Affairs (VA) patients were used to train and internally validate a machine learning model to predict AD onset within 5 years. External validation was conducted on patients from Michigan Medicine (MM). RESULTS: The VA and MM cohorts included 6860 and 1201 patients, respectively. Model performance using BP trajectories was modest but comparable (area under the receiver operating characteristic curve [AUROC] = 0.64 [95% confidence interval (CI) = 0.54-0.73] for VA vs. AUROC = 0.66 [95% CI = 0.55-0.76] for MM). CONCLUSION: Approaches that directly leverage BP trajectories from EHR data could aid in AD risk stratification across institutions.

ARMADA: Assessing reliable measurement in Alzheimer's disease and cognitive aging project methods.

INTRODUCTION: Early detection of cognitive decline in older adults is a public health priority. Advancing Reliable Measurement in Alzheimer's Disease and Cognitive Aging (ARMADA), a multisite study, is validating cognition, emotion, motor, and sensory modules of the National Institutes of Health Toolbox for Assessment of Neurological and Behavioral Function (NIHTB) in the aging spectrum from cognitively normal to dementia of the Alzheimer's type (DAT). METHODS: Participants 65 to 85 years old, in demographic groups racially proportional to the general US population, are recruited in one of three groups to validate the NIHTB: cognitively normal, amnestic mild cognitive impairment (aMCI), or mild DAT. Additional special emphasis cohorts include (1) Blacks in the three clinical groups; (2) Spanish-speakers in the three clinical groups; (3) cognitively normal, population-proportional, over age 85. DISCUSSION: Longitudinal study will determine whether NIHTB can predict cognitive decline and is associated with Alzheimer's disease biomarkers. Here, we detail the methods for the ARMADA study.