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Although cognitive offloading, or the use of physical action to reduce internal cognitive demands, is a commonly used strategy in everyday life, relatively little is known about the conditions that encourage offloading and the memorial consequences of different offloading strategies for performance. Much of the extant work in this domain has focused on laboratory-based tasks consisting of word lists, letter strings, or numerical stimuli and thus makes little contact with real-world scenarios under which engaging in cognitive offloading might be likely. Accordingly, the current work examines offloading choice behavior and potential benefits afforded by offloading health-related information. Experiment 1 tests for internal memory performance for different pieces of missing medication interaction information. Experiment 2 tests internal memory and offloading under full offloading and partial offloading instructions for interaction outcomes that are relatively low severity (e.g., sweating). Experiment 3 extends Experiment 2 by testing offloading behavior and benefit in low-severity, medium-severity (e.g., backache), and high-severity interaction outcomes (e.g., heart attack). Here, we aimed to elucidate the potential benefits afforded by partial offloading and to examine whether there appears to be a preference for choosing to offload (i) difficult-to-remember information across outcomes that vary in severity, as well as (ii) information from more severe interaction outcomes. Results suggest that partial offloading benefits performance compared to relying on internal memory alone, but full offloading is more beneficial to performance than partial offloading.

INTRODUCTION: Limited observational windows lead to conflicting results in studies examining educational differences in Alzheimer's disease and related dementias (ADRD) risk, due to observational window bias relative to onset of accelerated cognitive decline. This study tested a novel model to address observational window bias and tested for the presence and sources of disparities in accelerated cognitive declines due to ADRD. METHODS: The sample examined 167,314 cognitive assessments from 32,441 Health and Retirement Study participants. We implemented a parametric non‐linear nested longitudinal regression and reported multivariable‐adjusted nodal incidence ratios (aNIR). RESULTS: University degrees were associated with lower incidence (aNIR = 0.253, 95% confidence interval [CI] = [0.221 to 0.289], p < 0.001), while black participants had a higher incidence (aNIR = 1.995, [1.858 to 2.141], p < 0.001) of accelerated cognitive decline, adjusting for demographic, sociobehavioral, and medical risk factors. Sex‐stratified analyses identified diminished educational returns for women and increased incidence among minoritized women. DISCUSSION: Addressing observational window bias reveals large social inequalities in the onset of accelerated cognitive declines indicative of ADRD. Highlights: This study identifies observational window bias as a source of conflicting results among previous studies of educational achievement in Alzheimer's disease and related dementias (ADRD) disparities.The study locates preclinical accelerated cognitive decline, which is indicative of ADRD while occurring 10+ years prior to symptom onset, as a site to study ADRD disparities that mitigates observational window bias.A novel method, nested non‐linear regression, is developed to test for differences in the onset of accelerated cognitive decline.Educational and racial/ethnic disparities are demonstrated in the onset of accelerated cognitive decline, as are their intersecting differences with sex/gender. [ABSTRACT FROM AUTHOR]

Spatial memory is important for supporting the successful completion of everyday activities and is a particularly vulnerable domain in late life. Grouping items together in memory, or chunking, can improve spatial memory performance. In memory for desktop scale spaces and well-learned large-scale environments, error patterns suggest that information is chunked in memory. However, the chunking mechanisms involved in learning new large-scale, navigable environments are poorly understood. In five experiments, two of which included young and older adult samples, participants watched movies depicting routes through building-sized environments while attempting to remember the locations of cued objects. We tested memory for the cued objects with virtual pointing, distance estimation, and map drawing tasks after participants viewed each route. Patterns of error failed to show consistent evidence of chunking in spatial memory across all experiments. One possibility is that chunking in spatial memory relies on visual perceptual grouping mechanisms that are not in play during encoding of large-scale spaces encountered through extended route experiences that do not afford concurrent viewing of target locations. [ABSTRACT FROM AUTHOR]

Previous work on cognitive offloading has found that young and older adults create and use external memory aids to boost performance on simple memory‐based tasks. To date, little work has investigated whether cognitive offloading can benefit performance when the memoranda are complex and naturalistic. In this study, 64 participants (32 young adults aged 18–26 years and 32 older adults aged 60+ years) studied facts about health conditions, then completed free recall and old‐new recognition tests under two conditions. In the cognitive offloading choice condition, participants could create notes during study to use on upcoming memory tests. In the internal memory condition, participants had to rely on internal memory alone. Both age groups benefited from using cognitive offloading. Notably, older adults outperformed young adults on the free recall test when given the opportunity to offload. These results suggest that cognitive offloading can help older adults overcome everyday memory challenges. [ABSTRACT FROM AUTHOR]

Objective The COVID-19 pandemic has worsened college students' mental health while simultaneously creating new barriers to traditional in-person care. Teletherapy and online self-guided mental health supports are two potential avenues for addressing unmet mental health needs when face-to-face services are less accessible, but little is known about factors that shape interest in these supports. Participants: 1,224 U.S. undergraduate students (mean age = 20.7; 73% female; 40% White) participated. Methods: Students completed an online questionnaire assessing interest in teletherapy and self-guided supports. Predictors included age, sex, race/ethnicity, sexual minority status, and anxiety and depression symptomatology. Results: Interest rates were 20% and 25% for at-cost supports (teletherapy and online self-help, respectively) and 70% and 72% for free supports (teletherapy and online self-help, respectively). Patterns emerged by age, anxiety symptom severity, and race/ethnicity. Conclusions: Results may inform universities' efforts to optimize students' engagement with nontraditional, digital mental health supports, including teletherapy and self-guided programs. The SARS-CoV2 (COVID-19) pandemic has taken a severe toll on public health, with effects reaching far beyond unprecedented illness and mortality. Levels of mental health difficulties appear to be rising broadly as the pandemic has progressed, both in the general U.S. population and among college students specifically.1,2 The COVID-19 pandemic and its repercussions may undermine college student mental health in myriad ways.2 Concurrently, students now face the potential for serious illness, loss of loved ones, financial strain, social isolation, loss of on-campus resources, and sudden disruption of routines—creating a "perfect storm" for the emergence or exacerbation of psychological distress. [ABSTRACT FROM AUTHOR]

The dual mechanisms of control framework postulates that cognitive control can operate in 2 distinct modes: a "proactive" preparatory mode and a "reactive" wait-and-see mode. Importantly, the 2 modes are associated with both costs and benefits in cognitive performance. Here we explore this framework, in terms of its relationship with working memory capacity (WMC). We hypothesize that high-WMC individuals are more likely to utilize proactive control yielding not only benefits, but also specific costs to performance. Across 2 separate, large-sample experiments, healthy young adults performed different variants of the AX-Continuous Performance Test context processing task, a well-established probe of proactive and reactive cognitive control. In 2 experiments, WMC predicted both improvements and relative impairments in task performance in a manner that was consistent with usage of proactive control. These findings suggest that individuals differ in the degree to which they utilize proactive control based on WMC.

Age-related episodic memory deficits imply that older and younger adults differentially retrieve and monitor contextual features that indicate the source of studied information. Such differences have been shown in subjective reports during recognition and cued recall as well as process estimates derived from computational models of free recall organisation. The present study extends the subject report method to free recall to characterise age differences in context retrieval and monitoring, and to test assumptions from a context-based computational model. Older and younger adults studied two lists of semantically related words and then recalled from only the first or second list. After each recall, participants indicated their subjective context retrieval using remember/know judgments. Compared to younger adults, older adults showed lower recall accuracy and subjective reports of context retrieval (i.e., remember judgments) that were less specific to correct recalls. These differences appeared after first-recall attempts. Recall functions conditioned on serial positions were more continual across correct recalls from target lists and intrusions from non-target lists for older than younger adults. Together with other analyses of context retrieval and monitoring reported here, these findings suggest that older adults retrieved context less distinctively across the recall period, leading to greater perceived similarity for temporally contiguous lists. [ABSTRACT FROM AUTHOR]

Abstract Objective: The present study examined what specific aspects of the COVID-19 pandemic contributed to psychopathology symptoms among college students during the initial stages of the pandemic. Participants: One thousand and eighty-nine college students (Mage = 20.73, SDage = 2.93) enrolled at a university in New York participated in the study between March and May 2020. Methods: Participants completed self-report measures assessing pandemic-related experiences and psychopathology symptoms. Results: Results indicated that greater COVID-19-related life changes were uniquely associated with greater depression and post-traumatic stress symptoms. Greater concerns about school, home confinement, and basic needs were uniquely associated with greater depression symptoms. Finally, greater COVID-19 infection concerns were uniquely associated with greater generalized anxiety and post-traumatic stress symptoms. Conclusion: The present study indicates that the COVID-19 pandemic had a multifaceted impact on undergraduate students and that specific COVID-19 experiences contributed to higher rates of psychopathology symptoms. [ABSTRACT FROM AUTHOR]

Introduction: Limited observational windows lead to conflicting results in studies examining educational differences in Alzheimer's disease and related dementias (ADRD) risk, due to observational window bias relative to onset of accelerated cognitive decline. This study tested a novel model to address observational window bias and tested for the presence and sources of disparities in accelerated cognitive declines due to ADRD., Methods: The sample examined 167,314 cognitive assessments from 32,441 Health and Retirement Study participants. We implemented a parametric non-linear nested longitudinal regression and reported multivariable-adjusted nodal incidence ratios (aNIR)., Results: University degrees were associated with lower incidence (aNIR = 0.253, 95% confidence interval [CI] = [0.221 to 0.289], p < 0.001), while black participants had a higher incidence (aNIR = 1.995, [1.858 to 2.141], p < 0.001) of accelerated cognitive decline, adjusting for demographic, sociobehavioral, and medical risk factors. Sex-stratified analyses identified diminished educational returns for women and increased incidence among minoritized women., Discussion: Addressing observational window bias reveals large social inequalities in the onset of accelerated cognitive declines indicative of ADRD., Highlights: This study identifies observational window bias as a source of conflicting results among previous studies of educational achievement in Alzheimer's disease and related dementias (ADRD) disparities. The study locates preclinical accelerated cognitive decline, which is indicative of ADRD while occurring 10+ years prior to symptom onset, as a site to study ADRD disparities that mitigates observational window bias. A novel method, nested non-linear regression, is developed to test for differences in the onset of accelerated cognitive decline. Educational and racial/ethnic disparities are demonstrated in the onset of accelerated cognitive decline, as are their intersecting differences with sex/gender., (© 2024 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)

Introduction: The clock drawing task (CDT) is frequently used to aid in detecting cognitive impairment, but current scoring techniques are time-consuming and miss relevant features, justifying the creation of an automated quantitative scoring approach., Methods: We used computer vision methods to analyze the stored scanned images ( N  = 7,109), and an intelligent system was created to examine these files in a study of aging World Trade Center responders. Outcomes were CDT, Montreal Cognitive Assessment (MoCA) score, and incidence of mild cognitive impairment (MCI)., Results: The system accurately distinguished between previously scored CDTs in three CDT scoring categories: contour (accuracy = 92.2%), digits (accuracy = 89.1%), and clock hands (accuracy = 69.1%). The system reliably predicted MoCA score with CDT scores removed. Predictive analyses of the incidence of MCI at follow-up outperformed human-assigned CDT scores., Discussion: We created an automated scoring method using scanned and stored CDTs that provided additional information that might not be considered in human scoring., Competing Interests: No conflicts of interest to disclose., (© 2023 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.)