Recall Test Research Articles

Interpolated pretesting can boost memory of related and distinct prose materials.

The pretesting effect refers to the finding that tests performed before to-be learned material is encountered can enhance later retention of the material, even when no correct answers were provided on the initial pretest. The goal of the present study was to examine whether interspersing pretest questions between the study of multiple segments consisting of prose passages can induce a pretesting effect on a final cumulative recall test on all segments. To this end, participants studied four segments which were either thematically related (Experiment 1) or distinct (Experiment 2) and either received pretest questions about each segment immediately prior to study of the segment (pretest condition) or not (study-only condition). Results of the cumulative final test performed 24h after study of the segments showed for both experiments that interpolated pretesting enhanced correct recall of the segments. The findings thus suggest that the positive effects of pretesting on memory generalize from the standard single-list design to a multiplelists design when pretests are performed prior to study of each list. Interpolated pretesting thus may play a critical role as a potential learning tool in educational practice.

Association of diabetes risk with changes in memory, working memory, and processing speed among older adults

BackgroundThis study investigated the risk of diabetes by examining changes in memory, working memory, and processing speed among older adults to provide evidence on how each cognitive domain is associated with the risk of diabetes in older adults.MethodsThis study used Health and Retirement Study data and tracked the respondents from 2012 to 2020 (n = 5,748). The Telephone Interview for Cognitive Status-27 includes three cognitive tests (recall, seven subtraction, and counting backward tests) to assess each cognitive domain. A Cox proportional hazard regression was used to calculate the changes in the odds ratio (OR) of diabetes by increasing each cognitive function and the parameter in covariates.ResultsWe found that the OR of diabetes decreased with increasing universal cognitive function, increasing memory, working memory, and processing speed, and that age increased the OR in all analysis models.ConclusionThe findings of this study contribute to filling gaps in the literature by exploring: (a) the association between each cognitive function and the decline in diabetes risk and (b) the varying patterns of change in diabetes risk with increasing cognitive function.

Interplay of the serial order strategy and the associative cue strategy in human route following

ABSTRACT To evaluate the interplay between route following by the serial order and the associative cue strategy, participants who had repeatedly followed a route were asked to recall the serial order of directions, and the direction associated with each cue. For initial and final intersections of the route, most participants responded correctly on both tests. For intermediate intersections, many responded correctly on the associative recall test only. This suggests that many participants used both route following strategies concurrently at some intersections, but only the associative cue strategy at other intersections. This varying interplay of strategies probably reflects primacy and recency effects.

Association of serum klotho with cognitive function among individuals with nonalcoholic fatty liver disease

IntroductionThis study investigated the potential link between serum klotho levels and cognitive function in patients with non-alcoholic fatty liver disease (NAFLD).Materials and MethodsUtilizing NHANES data from 2011 to 2014, the research included 356 eligible participants. NAFLD was identified with the United States Fatty Liver Index (US-FLI), and cognition was measured by various tests including the Animal Fluency Test (AFT), Digit Symbol Substitution Test (DSST), Immediate Recall Test (IRT), and Delayed Recall Test (DRT). Weighted logistic regression and restricted cubic splines were employed to analyze the relationship between klotho levels and cognitive scores.ResultsA significant nonlinear association was observed between klotho levels and the performance in DSST and Delayed Recall Test (DRT). After controlling for confounding factors, the study found a positive association between higher serum klotho levels and improved cognitive performance in both AFT and DSST. However, there was no significant relationship between klotho levels and the IRT or DRT, regardless of whether the natural logarithm or quartile was considered.DiscussionThe findings suggest that a higher serum klotho level may be positively correlated with better cognitive performance in NAFLD patients.

Longitudinal Association of Changes in Metabolic Syndrome with Cognitive Function: 12-Year Follow-up of the Guangzhou Biobank Cohort Study.

The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Impacts of early life adversity on the neurocircuitry of emotional memory in children.

Similar to adults with posttraumatic stress disorder, children with early life adversity show bias in memory for negative emotional stimuli. However, it is not well understood how childhood adversity impacts mechanisms underlying emotional memory. N = 56 children (8-14 years, 48% female) reported on adverse experiences including potentially traumatic events and underwent fMRI while attending to emotionally pleasant, neutral, or negative images. Post-scan, participants completed a cued recall test to assess memory for these images. Emotional difference-in-memory (DM) scores were computed by subtracting negative or positive from neutral recall performance. All children showed enhancing effects of emotion on recall, with no effect of trauma load. However, children with less trauma showed a larger emotional DM for both positive and negative stimuli when amygdala or anterior hippocampal activity was higher. In contrast, highly trauma-exposed children demonstrated a lower emotional DM with greater amygdala or hippocampal activity. This suggested that alternative neural mechanisms might support emotional enhancement of encoding in children with greater trauma load. Whole-brain analyses revealed that right fusiform activity during encoding positively correlated with both trauma load and successful later recall of positive images. Therefore, highly trauma-exposed children may use alternative, potentially adaptive neural pathways via the ventral visual stream to encode positive emotional events.

The Interaction Between the Production Effect and Serial Position in Recognition and Recall.

In memory tasks, items read aloud are better remembered than their silently read counterparts. This production effect is often interpreted by assuming a distinctiveness benefit for produced items, but whether this benefit also comes at a cost remains up for debate. In recall tasks, when pure lists are used in which all items are produced or read silently, studies have shown a better recall of produced items at the last serial positions, but a lower recall at the first positions. This cost of production has been interpreted by assuming that production interferes with rehearsal. However, in recognition tasks, models typically assume that the distinctiveness benefit for produced items comes at no cost. Across four experiments, participants completed a 2AFC recognition test, an old-new recognition test or an immediate serial recall test. List length was also manipulated. Results show that although the production effect is larger at the last serial positions, the cross-over interaction between the production effect and serial position observed in recall was not present in recognition. These results suggest that task-related differences in the production effect may inform us about the modulation of basic memory processes by task demands.

Exploring the role of project status information in effective code smell detection

Repairing code smells detected in the code or design of the system is one of the activities contributing to increasing the software quality. In this study, we investigate the impact of non-numerical information of software, such as project status information combined with machine learning techniques, on improving code smell detection. For this purpose, we constructed a dataset consisting of 22 systems with various project statuses, 12,040 classes, and 18 features that included 1935 large classes. A set of experiments was conducted with ten different machine learning techniques by dividing the dataset into training, validation, and testing sets to detect the large class code smell. Feature selection and data balancing techniques have been applied. The classifier’s performance was evaluated using six indicators: precision, recall, F-measure, MCC, ROC area, and Kappa tests. The preliminary experimental results reveal that feature selection and data balancing have poor influence on the accuracy of machine learning classifiers. Moreover, they vary their behavior when utilized in sets with different values for the selected project status information of their classes. The average value of classifiers performance when fed with status information is better than without. The Random Forest achieved the best behavior according to all performance indicators (100%) with status information, while AdaBoostM1 and SMO achieved the worst in most of them (> 86%). According to the findings of this study, providing machine learning techniques with project status information about the classes to be analyzed can improve the results of large class detection.

Voice biomarkers in middle and later adulthood as predictors of cognitive changes.

Prosody voice measures, especially jitter and shimmer, have been associated with cognitive impairment and hold potential as early indicators of risk for cognitive decline. Prior research suggests that voice measures assessed concurrently with longitudinal cognitive outcomes are associated with 10-year cognitive declines in middle-age and older adults from Midlife in the U.S. (MIDUS) study. Using a subsample from the same study, we expanded previous research to examine voice measures that were (1) collected 8 years before cognitive outcomes, (2) derived from narrative speech in logical memory tests instead of word list recall tests, and (3) independent of the cognitive outcomes. Multilevel analyses controlled for covariates of age, sex, education, neurological conditions, depressive symptoms, and chronic conditions. The results indicated that higher jitter and lower shimmer predicted greater 10-year declines in episodic memory and working memory. These findings extend previous research by highlighting prosody voice measures assessed 8 years earlier as predictors of subsequent cognitive declines over a decade.

Impaired Sleep-Dependent Memory Consolidation in Pediatric Narcolepsy Type 1.

Disrupted nighttime sleep (DNS) is common in pediatric Narcolepsy type 1, yet its cognitive impact is unknown. As N2 sleep spindles are necessary for sleep-dependent memory consolidation, we hypothesized that Narcolepsy Type 1 impairs memory consolidation via N2 sleep fragmentation and N2 sleep spindle alterations. We trained 28 pediatric Narcolepsy Type 1 participants and 27 healthy controls (HC) on a spatial declarative memory task before a nocturnal in-lab polysomnogram and then gave them a cued recall test upon awakening in the morning. We extracted wake and sleep stage bout numbers and N2 spindle characteristics from the polysomnogram and conducted mixed model analysis of sleep-dependent memory consolidation to identify group differences. Narcolepsy Type 1 participants had shorter N2 bout durations and associated shorter N2 spindles vs. HC, but other N2 spindle features were similar. Narcolepsy Type 1 participants had worse memory performance post-sleep than HCs after adjusting for age and gender (mean memory consolidation HC: -3.1% ± 18.7, NT1: -15.6 ± 24.8, main effect group x time of testing F=5.3, p=0.03). We did not find significant relationships between sleep-dependent memory consolidation and N2 spindle characteristics. Notably, increased N1% was associated with worse sleep-dependent memory consolidation with results driven by the Narcolepsy Type 1 group. Sleep-dependent memory consolidation is mildly impaired in youth with Narcolepsy Type 1 and findings may be attributed to increases in N1 sleep. Further studies are needed to determine if these findings are generalizable and reversible with sleep-based therapies.

Ten-words recall test: an effective tool to differentiate mild cognitive impairment from subjective cognitive decline.

Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) are stages 2 and 3, respectively, of the Alzheimer's continuum. The Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-cog's) ten-words recall test is a validated method for the early detection of cognitive impairment in Alzheimer's disease. However, limited studies have investigated its ability to differentiate between SCD and MCI. 203 participants with SCD and 62 participants with MCI underwent multiple neuropsychological assessments. The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment-Basic (MOCA-B) served as brief global cognition tests. A binary logistic regression model was used to analyze the potential factors affecting MCI. The accuracy of the ten-words recall test was assessed using the area under the receiver operating characteristic (ROC) and the area under the curve (AUC). The neuropsychological assessment revealed significant differences in the ten-words recall test scores between the SCD (median age 61 years; 70.44% female) and MCI (median age 64 years; 61.29% female) groups (p < 0.001), with the MCI group scoring the highest. Using a cut-off value of 3.15 for the ten-words recall test, sensitivity for distinguishing MCI from SCD reached 87%, while specificity stood at 61% (AUC 0.777, p < 0.001). DeLong's test indicated no statistically significant difference in the ten-words recall test's ability to distinguish between SCD and MCI compared to the total score of ADAS-Cog (AUC 0.833, p) and MMSE (AUC 0.784, p > 0.05). However, a significant difference was observed when compared to MoCA-B (AUC 0.973, p < 0.001). In the population with an education level of ≤ 9 years, the optimal cut-off value for the ten-words recall test was 3.15, yielding a sensitivity of 91% and a specificity of 45% (AUC = 0.674, p = 0.030). In the population with an education level > 9 years, the optimal cut-off value was 3.63, resulting in a sensitivity of 79% and a specificity of 71% (AUC = 0.785, p < 0.001). The ten-words recall test from the ADAS-cog may detect MCI early owing to its simplicity and quick administration. It is an effective and convenient tool for rapidly identifying mild cognitive impairment.

Neuropsychological Correlates of Clinical Progression in Subjective Cognitive Decline.

Subjective cognitive decline (SCD) refers to self-reported cognitive decline in individuals with normal performance on standardized cognitive tests. Understanding the factors predicting progression from SCD to mild cognitive impairment (MCI) is crucial, as approximately 14% of SCD cases progress to dementia and about 27% develop MCI over four years. This study aims to identify neuropsychological predictors of progression from SCD to MCI, focusing on cognitive domains assessed through neuropsychological tests. This retrospective study at Seoul National University Bundang Hospital analyzed a cohort of 107 patients diagnosed with SCD through comprehensive assessment. Patients underwent annual neuropsychological testing, including the Digit Span Test, Boston Naming Test, Rey Complex Figure Test, Seoul Verbal Learning Test, and Stroop Test. Annually, these patients underwent neuropsychological tests over a 5-year period; 24 progressed to MCI per NIA-AA criteria. Key predictors of MCI progression included age, ischemic heart disease, and scores from the forward digit span, delayed recall, and Boston naming tests. Lower scores in delayed recall and Boston naming tests significantly correlated with a higher risk of MCI (p < 0.001). These findings suggest a need for targeted management of memory and language functions to monitor disease progression effectively.

When confidence reveals more than recognition performance does: The case of context load.

Context in which events are embedded is often hypothesized to serve as an independent cue for retrieval. This means that any effects of context need to obey two basic principles of cue-dependent memory: Memory retrieval should be augmented when, first, encoding context is reinstated and, second, this context uniquely specifies individual items stored in memory. Both of these regularities are well supported for recall tests, but they remain contentious in recognition tests. Here, in three experiments, we assess whether unique and nonunique contexts affect memory processes when reinstated during recognition. However, rather than focusing on measures of recognition performance, we looked at confidence judgments collected during recognition that should be particularly sensitive to recollective effects resulting from context cuing. Experiments 1 and 2, using old/new and forced-choice recognition tests, respectively, documented positive effects of context reinstatement on confidence in correct recognition identifications, but only for contexts uniquely associated with individual items. These effects emerged even when there were no reliable context effects in recognition performance measures. Experiment 3 showed the same effect of context reinstatement, moderated by context load, when spontaneous recognition of a previous study episode occurred during restudy. These results demonstrate the role of context as an independent retrieval cue both in deliberate and spontaneous recognition. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

8663 Sex differences in delayed fear incubation in mice

Abstract Disclosure: M. Littlepage-Saunders: None. M. Rusnak: None. M. Tsuda: None. T. Wu: None. Post-traumatic stress disorder (PTSD) has a lifetime prevalence of 1 in 13 people. It is not fully understood why some are more vulnerable to developing PTSD whereas others are more resilient. Among those who develop PTSD, about a quarter have delayed-onset PTSD where onset of symptoms occur at 6 months or later after experiencing a traumatic event. While there is recognition of this type of PTSD, the underlying mechanism is poorly understood. The development of PTSD is more prevalent in women than men. However, previous preclinical and clinical studies have focused mainly on males. Thus, there lacks an understanding of this sex difference. To enhance our understanding of the causal mechanisms, we designed a study with mice to compare the effect of sex on delayed fear incubation. We expected the female mice to show increased fear responses that would suggest more chronic delayed fear incubation than the male mice. To test this, we evaluated distance travelled, freezing, and latency until the first freezing episode in adult male and female C57Bl/6J mice (7-8 weeks of age; n=8/group) using a delayed fear incubation behavioral assay. Animals were placed in a fear conditioning chamber for a 198 s acclimation period and then administered a single 2 s scrambled footshock of 1.5 mA via the metal grid floor. After an additional 60 s, animals were returned to their home cage. At specific time after shock application, animals underwent a fear recall test where the animals were placed back in the shock chamber for a total of 180 s without any additional footshocks and then returned to their home cage. The study was based on a 2X2 factorial design comprising of sex (male vs female) and recall time (1 day and 14 days post shock). The data showed an increasing freezing trend (p=0.08) at d 14 compared to their recall d 1 counterparts. There was no effect of time or sex on distance travelled or latency until the first freezing episode. Interestingly, female mice showed less freezing when compared to the male mice. Ongoing experiments will look more into circuitry-level changes by comparing neuronal activation through cFos expression in different brain regions that are a part of the limbic system and/or have been associated with fear: the amygdala, hippocampus, prefrontal cortex, and paraventricular nucleus. Presentation: 6/2/2024

Hospital stays and probable dementia as predictors of relocation to long-term care facilities.

This study aims to investigate the relocation of older adults in the US from community living to long-term care facilities (LTCFs). Specifically, it examines the predictive roles of possible and probable dementia and hospital stays in this complex health care transition. Utilizing data from the National Health and Aging Trends Study, a longitudinal cohort study (2011-2019), we employed a panel data approach, which consists of multiple observations over time for the same participants, allowing us to account for both cross-sectional variations (differences between participants) and time-series variations (changes in the same participant over time). The analysis involved longitudinal logistic regression models. Using the AD8 dementia screening interview, clock drawing test, immediate and delayed word recall test, orientation, and history of dementia diagnosis, we placed participants into categories of having no dementia, possible dementia, and probable dementia. A survey asked about hospital stays in the past year. Relocation to LTCFs was examined based on the changes to the living location. The proportion of individuals transitioning to LTCFs tripled between 2011 and 2019, emphasizing the need to understand and manage this health care transition. Hospital stays significantly increased the probability of moving to LTCFs, especially nursing homes. Probable dementia demonstrated a 3-fold increase, aligning with the rising prevalence of Alzheimer disease. Difficulty walking and climbing stairs significantly increased relocation probabilities. The study findings emphasize complexity in late-life relocations influenced by dementia and hospital stays. Screening for cognitive function among community-dwelling older adults, particularly those with a history of hospital stays and mobility difficulties, can inform interventions and policies. Implications extend to health care policy, geriatric care, and the imperative for targeted interventions considering demographic variations. Future research should explore additional variables and address limitations to refine our understanding of the relocation process.

The effectiveness of synchronous online clinics and conventional clinics among medical students: Assessing the influence of e-learning

The COVID-19 pandemic presented challenges that led to the development of on-line learning, emphasizing how important it is for students to have access to quality education. This study was conducted to compare the efficacy of synchronous on-line and conventional clinics and the perception of students. This study was conducted over 12 months from November 2020. A total of 78 Phase 4 students were divided into six batches by convenient sampling based on roll numbers; each batch was again subdivided into two: Group A received conventional clinics and Group B received on-line synchronous clinics. Postsession multiple choice questions (MCQs) were conducted immediately after the session and again 2 weeks later to avoid recall bias. Perception was analyzed by Likert scale. The unpaired t-test was utilized for normally distributed continuous data and the Mann–Whitney U test for non-normally distributed or ordinal data to conduct statistical comparisons between the two groups. The assessment of e-learning between the two groups showed no significant difference, although the online group exhibited comparatively lower recall test scores compared to their post-test scores, even if not reach statistical significance. A significantly higher proportion of students in the conventional group expressed confidence in their exam performance and believed that traditional sessions were preferable for future learning endeavors. Most medical students stated that they preferred conventional clinics over e-learning education. Students felt that there was a difference between these two teaching methods’ perceived efficacy and general attitudes.

Predicting CDR status over 36 months with a recall-based digital cognitive biomarker.

Word-list recall tests are routinely used for cognitive assessment, and process scoring may improve their accuracy. We examined whether Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) derived, process-based digital cognitive biomarkers (DCBs) at baseline predicted Clinical Dementia Rating (CDR) longitudinally and compared them to standard metrics. Analyses were performed with Alzheimer's Disease Neuroimaging Initiative (ADNI) data from 330 participants (mean age=71.4±7.2). We conducted regression analyses predicting CDR at 36 months, controlling for demographics and genetic risk, with ADAS-Cog traditional scores and DCBs as predictors. The best predictor of CDR at 36 months was M, a DCB reflecting recall ability (area under the curve =0.84), outperforming traditional scores. Diagnostic results suggest that M may be particularly useful to identify individuals who are unlikely to decline. These results suggest that M outperforms ADAS-Cog traditional metrics and supports process scoring for word-list recall tests. More research is needed to determine further applicability with other tests and populations. Process scoring and latent modeling were more effective than traditional scoring. Latent recall ability (M) was the best predictor of Clinical Dementia Rating decline at 36 months. The top digital cognitive biomarker model had odds ≈ 90 times greater than the top Alzheimer's Disease Assessment Scale-Cognitive subscale model. Particularly high negative predictive value supports literature on cognitive testing as a useful screen. Consideration of both cognitive and pathological outcomes is needed.

Association between vitamin B2 intake and cognitive performance among older adults: a cross-sectional study from NHANES

The impact of vitamin B2 (riboflavin) intake on cognitive performance among older adults in the United States (US) remains inadequately understood. This study aimed to explore the association between vitamin B2 intake and cognitive performance among non-institutionalized elderly people in the US. Weighted logistic regression was used to evaluate the association between vitamin B2 intake and cognitive performance. Vitamin B2 intake was determined from the mean of two 24-hour dietary recall interviews. Three cognitive ability assessment tests, namely the Immediate Recall Test (IRT), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST), were performed. Participants included all older adults over 60 who underwent cognitive scoring, with cut-offs defined based on the lowest quartile (25th percentile) for each test (the cut-offs for the three scores were 15.625, 12, and 33, respectively). Sensitivity analysis, including dose-response curves, subgroup analyses, interaction effects, per 1 standard deviation (SD), recommended dietary allowance (RDA), and residual energy model analysis, were performed to solidify the solid association between vitamin B2 and cognitive performance. A total of 2893 individuals aged over 60 were included, with a mean age of 69 (7) years, and 46% were men. There was a significant association between vitamin B2 intake and all three cognitive scores (IRT, Odds Ratio = 0.77, 95% confidence interval: [0.65,0.92]; AFT, 0.75, [0.64,0.88]; DSST, 0.72, [0.59,0.88]). Moreover, vitamin B2 intake above the RDA reduced the risk of low cognitive performance (IRT, 0.66, [0.46,0.93]; AFT, 0.83, [0.62,1.11]; DSST, 0.65, [0.45,0.92]) compared to intake below the RDA. Dose-response curves indicated that higher vitamin B2 intake was negatively associated with the risk of low cognitive performance. Physical activity may modify the association between vitamin B2 and cognitive performance. Vitamin B2 intake was positively associated with cognitive performance among older adults. Adequate vitamin B2 intake could help protect cognitive function.

Uncovering the relationship between trace element exposure, cognitive function, and dietary inflammation index in elderly americans from the National Health and Nutrition Examination Survey 2011–2014

BackgroundThe consequences of trace element exposure on cognitive function in elderly adults have been recognized as primarily attributed to the inflammatory response. It is noteworthy that diet can either exacerbate or reduce the inflammatory response. Despite this, there have been limited studies about the effects of diet on the relationship between trace element exposure and cognitive function.MethodsA cross-sectional study utilized data from the 2011–2014 NHANES survey to explore the association between trace element exposure and cognitive function in elderly adults. The study enrolled 1726 participants, and generalized linear regression model (GLM), Bayesian kernel machine regression model (BKMR), weighted quantile sum regression (WQS), and quantile g-computation regression analysis (Qg-comp) were conducted to assess the impact of five trace elements (lead, cadmium, mercury, manganese, and selenium) in blood on cognitive function under the anti-inflammatory and pro-inflammatory diet.ResultsThe GLM analysis showed a positive correlation between selenium (Se) and both the instant recall test (IRT) and digit symbol substitution test (DSST) (β = 2.06, 95% CI: 0.70 ~ 3.41; and β = 6.41, 95% CI: 2.35 ~ 10.46, respectively). In contrast, cadmium (Cd) was negatively associated with DSST (β = -1.17, 95% CI: -2.13~ -0.22), and lead (Pb) was negatively associated with IRT (β = -0.47, 95% CI: -0.82~ -0.11). For the animal fluency test (AFT), the highest quartile of manganese (Mn) was negatively associated with the lowest quartile (β = -0.72, 95% CI: -1.34~-0.10), while mercury (Hg) showed no significant associations with cognitive function tests. Subgroup analysis revealed the effects of Cd on IRT and DSST and Se on DSST under the pro-inflammatory diet. Furthermore, The BKMR analysis showed an inverted U-shaped curve with the negative impact of trace element mixtures and DSST and a linearly negative trend with IRT in the pro-inflammatory diet. Among them, Cd was emphasized as the most potent risk factor, and Se was the most vital protective factor for IRT and DSST in WQS and Qg-comp analysis.ConclusionsThe study suggests that a high-quality diet might alleviate the adverse effects of Cd on IRT and DSST. High Se levels were also associated with better IRT and DSST scores in the pro-inflammatory diet. These findings provide valuable insights into the connection between diet, trace element exposure, and cognitive function in elderly adults.

Mixed in a World of Truth and Lies: List Composition Moderates the Effects of a Lie Fabrication Manipulation on Memory and Metamemory.

Research has shown that list composition moderates the effects of encoding manipulations on memory performance; differential memory performance is observed at distinct levels of the independent variable in mixed lists, but not in pure lists. The current study aims to investigate the effect of list composition on predicted and actual memory performance using a semantic lie fabrication manipulation. In Experiment 1, participants either told the truth or fabricated a lie in response to a set of general knowledge questions in a mixed-list design, made memory predictions for each response, and received a free recall test. Experiments 2A and 2B compared the effect of list composition by employing mixed and pure lists, respectively. The results showed that the lie fabrication led to a metacognitive illusion in mixed lists by inducing a crossed double dissociation between memory and metamemory. Participants produced higher memory performance and lower memory predictions for lies than the truth. In contrast, predicted and actual memory performance were similar for truth and lies in pure lists. These findings contribute to the existing body of knowledge on list composition and have implications for situations where individuals need to maintain and remember their fabricated lies.