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Introduction: Emotional functioning in older adults is influenced by normal aging and cognitive impairment, likely heterogeneous across positive versus negative aspects of emotional functioning. Little is known about positive emotional experiences at the early stages of cognitive impairment. Methods: We assessed different aspects of emotional functioning among 448 participants aged 65+ (Normal Control (NC) = 276, Mild Cognitive Impairment (MCI) = 103, and mild dementia of the Alzheimer type (mild DAT) = 69) and tested moderators. Results: Compared to NC, older adults with MCI and mild DAT have maintained many positive aspects of emotional functioning, despite higher levels of negative affect, sadness, and loneliness. Among the oldest-old, the mild DAT group experienced higher fear and lower self-efficacy. Discussion: Older adults at early stages of cognitive impairment can experience positive aspects of emotional functioning, such as positive affect, purpose, and life satisfaction, all of which are important buildable psychological resources for coping. [ABSTRACT FROM AUTHOR]

Objective The percentage of older adults living into their 80s and beyond is expanding rapidly. Characterization of typical cognitive performance in this population is complicated by a dearth of normative data for the oldest old. Additionally, little attention has been paid to other aspects of health, such as motor, sensory, and emotional functioning, that may interact with cognitive changes to predict quality of life and well-being. The current study used the NIH Toolbox (NIHTB) to determine age group differences between persons aged 65–84 and 85+ with normal cognition. Method Participants were recruited in two age bands (i.e. 65–84 and 85+). All participants completed the NIHTB Cognition, Motor, Sensation, and Emotion modules. Independent-samples t -tests determined age group differences with post-hoc adjustments using Bonferroni corrections. All subtest and composite scores were then regressed on age and other demographic covariates. Results The 65–84 group obtained significantly higher scores than the 85+ group across all cognitive measures except oral reading, all motor measures except gait speed, and all sensation measures except pain interference. Age remained a significant predictor after controlling for covariates. Age was not significantly associated with differences in emotion scores. Conclusions Results support the use of the NIHTB in persons over 85 with normal cognition. As expected, fluid reasoning abilities and certain motor and sensory functions decreased with age in the oldest old. Inclusion of motor and sensation batteries is warranted when studying trajectories of aging in the oldest old to allow for multidimensional characterization of health. [ABSTRACT FROM AUTHOR]

Objective: Symptom clustering research provides a unique opportunity for understanding complex medical conditions. The objective of this study was to apply a variable-centered analytic approach to understand how symptoms may cluster together, within and across domains of functioning in mild cognitive impairment (MCI) and dementia, to better understand these conditions and potential etiological, prevention, and intervention considerations. Method: Cognitive, motor, sensory, emotional, and social measures from the NIH Toolbox were analyzed using exploratory factor analysis (EFA) from a dataset of 165 individuals with a research diagnosis of either amnestic MCI or dementia of the Alzheimer's type. Results: The six-factor EFA solution described here primarily replicated the intended structure of the NIH Toolbox with a few deviations, notably sensory and motor scores loading onto factors with measures of cognition, emotional, and social health. These findings suggest the presence of cross-domain symptom clusters in these populations. In particular, negative affect, stress, loneliness, and pain formed one unique symptom cluster that bridged the NIH Toolbox domains of physical, social, and emotional health. Olfaction and dexterity formed a second unique cluster with measures of executive functioning, working memory, episodic memory, and processing speed. A third novel cluster was detected for mobility, strength, and vision, which was considered to reflect a physical functioning factor. Somewhat unexpectedly, the hearing test included did not load strongly onto any factor. Conclusion: This research presents a preliminary effort to detect symptom clusters in amnestic MCI and dementia using an existing dataset of outcome measures from the NIH Toolbox. [ABSTRACT FROM AUTHOR]

Cognitive research with developmental samples requires improved methods that support large‐scale, diverse, and open science. This paper offers initial evidence to support the Mobile Toolbox (MTB), a self‐administered remote smartphone‐based cognitive battery, in youth populations, from a pilot sample of 99 children (Mage = 11.79 years; 36% female; 53% White, 33% Black or African American, 9% Asian, and 15% Hispanic). Completion rates (95%–99%), practice performance (96%–100%), internal consistency (0.60–0.98), and correlations with similar NIHTB measures (0.55–0.77) provide the first evidence to support the MTB in a youth sample, although there were some inconsistencies across measures. Preliminary findings provide promising evidence of the MTB in developmental populations, and further studies are encouraged. [ABSTRACT FROM AUTHOR]

Consumers often cite cognitive improvements as reasons for making dietary changes or using dietary supplements, a motivation that if leveraged could greatly enhance public health. However, rarely is it considered whether standardized cognitive tests that are used in nutrition research are aligned to outcomes of interest to the consumer. This knowledge gap presents a challenge to the scientific substantiation of nutrition-based cognitive health benefits. Here we combined focus group transcript review using reflexive thematic analysis and a multidisciplinary expert panel exercise to evaluate the applicability of cognitive performance tools/tasks for substantiating the specific cognitive benefits articulated by consumers with the objectives to (1) understand how consumers comprehend the potential benefits of nutrition for brain health, and (2) determine the alignment between consumers desired brain benefits and validated tests and tools. We derived a 'Consumer Taxonomy of Cognitive and Affective Health in Nutrition Research' which describes the cognitive and affective structure from the consumers perspective. Experts agreed that validated tests exist for some consumer benefits including focused attention, sustained attention, episodic memory, energy levels, and anxiety. Prospective memory, flow, and presence represented novel benefits that require the development and validation of new tests and tools. Closing the gap between science and consumers and fostering co-creative approaches to nutrition research are critical to the development of products and dietary recommendations that support realizable cognitive benefits that benefit public health. [ABSTRACT FROM AUTHOR]

Arranging Pictures is a new episodic memory test based on the NIH Toolbox (NIHTB) Picture Sequence Memory measure and optimized for self-administration on a personal smartphone within the Mobile Toolbox (MTB). We describe evidence from three distinct validation studies. In Study 1, 92 participants self-administered Arranging Pictures on study-provided smartphones in the lab and were administered external measures of similar and dissimilar constructs by trained examiners to assess validity under controlled circumstances. In Study 2, 1,021 participants completed the external measures in the lab and self-administered Arranging Pictures remotely on their personal smartphones to assess validity in real-world contexts. In Study 3, 141 participants self-administered Arranging Pictures remotely twice with a two-week delay on personal iOS smartphones to assess test-retest reliability and practice effects. Internal consistency was good across samples (ρxx =.80 to.85, p <.001). Test-retest reliability was marginal (ICC =.49, p <.001) and there were significant practice effects after a two-week delay (ΔM = 3.21 (95% CI [2.56, 3.88]). As expected, correlations with convergent measures were significant and moderate to large in magnitude (ρ =.44 to.76, p <.001), while correlations with discriminant measures were small (ρ =.23 to.27, p <.05) or nonsignificant. Scores demonstrated significant negative correlations with age (ρ = -.32 to −.21, p <.001). Mean performance was slightly higher in the iOS compared to the Android group (MiOS = 18.80, NiOS = 635; MAndroid = 17.11, NAndroid = 386; t(757.73) = 4.17, p <.001), but device type did not significantly influence the psychometric properties of the measure. Indicators of potential cheating were mixed; average scores were significantly higher in the remote samples (F(2, 850) = 11.415, p <.001), but there were not significantly more perfect scores. The MTB Arranging Pictures measure demonstrated evidence of reliability and validity when self-administered on personal device. Future research should examine the potential for cheating in remote settings and the properties of the measure in clinical samples. [ABSTRACT FROM AUTHOR]

We applied a novel hierarchical Bayesian weighted quantile sum (HBWQS) regression to combine data across 3 study sites to examine associations between prenatal exposure to metals and cognitive functioning in childhood. Data from 326 mother-child dyads enrolled in an ongoing cohort study, the Programming of Intergenerational Stress Mechanisms (PRISM) Study, based in New York, New York (recruitment in 2013–2020) and Boston, Massachusetts (recruitment 2011–2013), and the First Thousand Days of Life (FTDL) cohort study (recruitment 2012–2019), based in northern Virginia, were used. Arsenic, cadmium, manganese, lead, and antimony were measured in urine collected during pregnancy. Cognitive functioning was assessed in children aged 3–11 years using the National Institutes of Health Toolbox Cognition Battery. The HBWQS regression showed a negative association between the urinary metal mixture and the Cognition Early Childhood Composite Score in the PRISM New York City (β = −3.67, 95% credible interval (CrI): −7.61, −0.01) and FTDL (β = −3.76, 95% CrI: −7.66, −0.24) samples, with a similar trend in the PRISM Boston sample (β = −3.24, 95% CrI: −6.77, 0.144). We did not detect these associations in traditionally pooled models. HBWQS regression allowed us to account for site heterogeneity and detect associations between prenatal metal-mixture exposure and cognitive outcomes in childhood. Given the ubiquity of metals exposure, interventions aimed at reducing prenatal exposure may improve cognitive outcomes in children. This article is part of a Special Collection on Environmental Epidemiology. [ABSTRACT FROM AUTHOR]

Timely detection of cognitive impairment (CI) is critical for the wellbeing of elderly individuals. The MyCog assessment employs two validated iPad-based measures from the NIH Toolbox® for Assessment of Neurological and Behavioral Function (NIH Toolbox). These measures assess pivotal cognitive domains: Picture Sequence Memory (PSM) for episodic memory and Dimensional Change Card Sort Test (DCCS) for cognitive flexibility. The study involved 86 patients and explored diverse machine learning models to enhance CI prediction. This encompassed traditional classifiers and neural-network-based methods. After 100 bootstrap replications, the Random Forest model stood out, delivering compelling results: precision at 0.803, recall at 0.758, accuracy at 0.902, F1 at 0.742, and specificity at 0.951. Notably, the model incorporated a composite score derived from a 2-parameter higher order item response theory (HOIRT) model that integrated DCCS and PSM assessments. The study's pivotal finding underscores the inadequacy of relying solely on a fixed composite score cutoff point. Instead, it advocates for machine learning models that incorporate HOIRT-derived scores and encompass relevant features such as age. Such an approach promises more effective predictive models for CI, thus advancing early detection and intervention among the elderly. [ABSTRACT FROM AUTHOR]

The progress of developmental research demands reliable measurement techniques, yet inconsistency persist across laboratories, subfields, and settings. To address this, the NIH Toolbox for Neurological and Behavioral Function (NIHTB)® has been extended to create a universal assessment for developmental and pediatric communities: The NIH Infant and Toddler (“Baby”) Toolbox. Currently undergoing norming in a sample of 2550 children demographically representative of the 2020 U.S. census, the Baby Toolbox is slated for release in late 2024. This paper introduces the Baby Toolbox, details its objectives, development, and technological innovations, describes plans for reliability and norming, and invites researchers to consider the Baby Toolbox in the future studies. Ultimately, this initiative stands to enhance cross‐study comparability and advance comprehensive developmental evaluation. [ABSTRACT FROM AUTHOR]

To assess the impact of including next and back buttons on response burden and measurement reliability of computer-based surveys.A sample of 807 participants (mean age of 53; 64% women, 83% non-Hispanic white; 81% some college or college graduates) from the YouGov Polimetrix panel was administered 56 items assessing performance of social/role activities and 56 items measuring satisfaction with social/role activities. Participants were randomly assigned to either (1) automatic advance to the next question with no opportunity to go back (auto/no back); (2) automatic advance to the next questions with an opportunity to go back (auto/back); (3) next button to go to the next question with no opportunity to go back (next/no back); or (4) next button to go to the next question with an opportunity to go back (next/back).We found no difference in missing data, internal consistency reliability, and domain scores by group. Time to complete the survey was about 50% longer when respondents were required to use a next button to go on.Given the similarity in missing data, reliability and mean scale scores with or without use of the next button, we recommend automatic advancement to the next item with the option to go back to the previous item.

INTRODUCTION: Olfactory decline is associated with cognitive decline in aging, amnestic mild cognitive impairment (aMCI), and amnestic dementia associated with Alzheimer's disease neuropathology (ADd). The National Institutes of Health Toolbox Odor Identification Test (NIHTB‐OIT) may distinguish between these clinical categories. METHODS: We compared NIHTB‐OIT scores across normal cognition (NC), aMCI, and ADd participants (N = 389, ≥65 years) and between participants positive versus negative for AD biomarkers and the APOE ε4 allele. RESULTS: NIHTB‐OIT scores decreased with age (p < 0.001) and were lower for aMCI (p < 0.001) and ADd (p < 0.001) compared to NC participants, correcting for age and sex. The NIHTB‐OIT detects aMCI (ADd) versus NC participants with 49.4% (56.5%) sensitivity and 88.8% (89.5%) specificity. NIHTB‐OIT scores were lower for participants with positive AD biomarkers (p < 0.005), but did not differ based on the APOE ε4 allele (p > 0.05). DISCUSSION: The NIHTB‐OIT distinguishes clinically aMCI and ADd participants from NC participants. Highlights: National Institutes of Health Toolbox Odor Identification Test (NIHTB‐OIT) discriminated normal controls from mild cognitive impairment.NIHTB‐OIT discriminated normal controls from Alzheimer's disease dementia.Rate of olfactory decline with age was similar across all diagnostic categories.NIHTB‐OIT scores were lower in participants with positive Alzheimer's biomarker tests.NIHTB‐OIT scores did not differ based on APOE genotype. [ABSTRACT FROM AUTHOR]

Background: We expanded the Multidimensional Assessment Profiles (MAPS) Scales developmental specification model to characterize the normal:abnormal spectrum of internalizing (anxious and depressive) behaviors in early childhood via the MAPS‐Internalizing (MAPS‐INT) scale. Methods: The MAPS‐INT item pool was generated based on clinical expertise and prior research. Analyses were conducted on a sub‐sample of families (n = 183) from the diverse When to Worry early childhood sample. Results: Normal:abnormal descriptive patterns for both anxious and depressive behaviors were consistent with prior work: (1) extremes of normative variation are abnormal when very frequent; and (2) pathognomonic indicators that most children do not engage in and are abnormal, even if infrequent. Factor analysis revealed a two‐factor MAPS‐INT Anxious Behaviors structure (Fearful‐Worried and Separation Distress) and a unidimensional MAPS‐INT Depressive Behaviors factor with good fit and good‐to‐excellent test‐retest reliability and validity. Conclusions: We characterized the normal:abnormal spectrum of internalizing behaviors in early childhood via the MAPS‐INT. Future research in larger representative samples can replicate and extend findings, including clinical thresholds and predictive utility. The MAPS‐INT helps lay the groundwork for dimensional characterization of the internalizing spectrum to advance neurodevelopmental approaches to emergent psychopathology and its earlier identification. [ABSTRACT FROM AUTHOR]

Background: The Mobile Toolbox (MTB), an app‐based assessment platform, enables completely remote, self‐administered assessment using participants' own smartphones. We present psychometric evidence for eight MTB cognitive measures assessing language, working memory, episodic memory, executive function, and processing speed. Method: Three samples were used to evaluate convergent validity, age‐related change, internal consistency and test‐retest reliability. Sample I consisted of 94 adults ages 18‐85 who were administered "gold standard" cognitive measures followed by self‐administered MTB. Sample II, recruited for norming, included 1,020 participants ages 18‐90 who completed MTB measures remotely. Sample III was a convenience sample of 800 participants who completed MTB remotely with retest after 7, 14, or 21 days. Pearson correlation coefficients between MTB and external measures were used to evaluate convergent validity. Internal consistency was evaluated using measure‐appropriate tests: split‐half reliability, Cronbach's alpha or IRT‐based indices. For measures with timing‐dependent scores, separate analyses were performed for iOS and Android devices. Spearman correlation coefficients were calculated to evaluate relationships between age and test scores. Result: Convergent validity data from Sample I (64% female, 52% white, 99% non‐Hispanic, age = 48+/‐18) revealed moderate to strong correlations between MTB test scores and performance on external measures of similar constructs (Table 1). Table 2 shows results derived from Sample II (44% female, 13% Hispanic, 74% white, age = 45+/‐22). Internal consistency estimates ranged from 0.69 to 0.98. On timed tests, Shape‐Color Sorting and Arrow Matching showed significant score differences between Android and iOS devices when controlling for age. However, internal consistency was equivalent between the two, as indicated by overlapping confidence thresholds (Table 3). Performance on executive function, processing speed, and some memory tasks negatively correlated with age. Word Meaning scores improved with age while Spelling remained stable. Test‐retest reliability, using preliminary Sample III data, ranged from 0.47 (memory tests) to 0.86. Conclusion: Initial studies, using three diverse samples, support the validity and reliability of the first eight MTB cognitive measures. MTB tests showed satisfactory internal consistency and convergent validity and most measures correlated with age in the expected directions. Our results support the use of MTB in cognitive research. [ABSTRACT FROM AUTHOR]

Cognitive impairment (CI) and dementia can have profound social and emotional effects on older adults. Early detection of CI is imperative both to the identification of potentially treatable conditions and to provide services to minimize the effects of CI in cases of dementia. While primary care settings are ideal for identifying CI, it frequently goes undetected. We tailored a brief, iPad-based, cognitive assessment (MyCog) for primary care settings and piloted it in a sample of older adults. Eighty participants were recruited from an existing cohort study and completed a brief, in-person interview. CI was determined based on a diagnosis of dementia or CI in their medical record or based on a comprehensive cognitive battery performed within the past 18 months. MyCog had a sensitivity of 79% and specificity of 82%, offering a practical, scalable, primary care assessment for the routine case finding of cognitive impairment and dementia. [ABSTRACT FROM AUTHOR]