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A key step toward understanding psychiatric disorders that disproportionately impact female mental health is delineating the emergence of sex-specific patterns of brain organisation at the critical transition from childhood to adolescence. Prior work suggests that individual differences in the spatial organisation of functional brain networks across the cortex are associated with psychopathology and differ systematically by sex.
Aims
We aimed to evaluate the impact of sex on the spatial organisation of person-specific functional brain networks.
Method
We leveraged person-specific atlases of functional brain networks, defined using non-negative matrix factorisation, in a sample of n = 6437 youths from the Adolescent Brain Cognitive Development Study. Across independent discovery and replication samples, we used generalised additive models to uncover associations between sex and the spatial layout (topography) of personalised functional networks (PFNs). We also trained support vector machines to classify participants’ sex from multivariate patterns of PFN topography.
Results
Sex differences in PFN topography were greatest in association networks including the frontoparietal, ventral attention and default mode networks. Machine learning models trained on participants’ PFNs were able to classify participant sex with high accuracy.
Conclusions
Sex differences in PFN topography are robust, and replicate across large-scale samples of youth. These results suggest a potential contributor to the female-biased risk in depressive and anxiety disorders that emerge at the transition from childhood to adolescence.
Aerosol-cloud interactions contribute significant uncertainty to modern climate model predictions. Analysis of complex observed aerosol-cloud parameter relationships is a crucial piece of reducing this uncertainty. Here, we apply two machine learning methods to explore variability in in-situ observations from the NASA ACTIVATE mission. These observations consist of flights over the Western North Atlantic Ocean, providing a large repository of data including aerosol, meteorological, and microphysical conditions in and out of clouds. We investigate this dataset using principal component analysis (PCA), a linear dimensionality reduction technique, and an autoencoder, a deep learning non-linear dimensionality reduction technique. We find that we can reduce the dimensionality of the parameter space by more than a factor of 2 and verify that the deep learning method outperforms a PCA baseline by two orders of magnitude. Analysis in the low dimensional space of both these techniques reveals two consistent physically interpretable regimes—a low pollution regime and an in-cloud regime. Through this work, we show that unsupervised machine learning techniques can learn useful information from in-situ atmospheric observations and provide interpretable results of low-dimensional variability.
Community-engaged partnerships (community/academia/government) can play a role in developing effective protocols that address public health crises. Systemic racism, prioritization of money over humanity, and the repression of the local democratic processes through the State of Michigan Emergency Manager Law (Order of Act 439) all played a role in the Flint Water Crisis. Despite decades of collaboration between Flint-based community organizations and academic institutions, ways to navigate such crises and conduct relevant research were ineffective.
Methods:
The Michigan Institute for Clinical and Health Research Community Engagement program at the University of Michigan and Flint’s Community Based Organization Partners co-developed the Research Readiness and Partnership Protocol (R2P2) to provide community-engaged recommendations that inform a rapid research response to public health emergencies. The R2P2 Workgroup conducted an extensive literature review and key interviews to inform protocol development.
Results:
This manuscript provides an overview of the Workgroup’s methods, key interview findings, and the main principles identified. Detailed recommendations and key elements to address prior to and during a crisis will be presented including methods for: establishing and maintaining trust, ensuring transparency, supporting clear communication, establishing a “front door” to academic institutions including a means to “sound the alarm,” addressing academic incentives, achieving equitable resource sharing, and addressing systemic racism.
Conclusion:
This manuscript of community perspectives provides essential elements to develop meaningful community-academic research partnerships to address public health crises impacting communities, particularly communities of color. Furthermore, this work highlights an opportunity for greater acknowledgment and utilization of community-based participatory research (CBPR) by academic institutions.
Major depressive disorder (MDD) is a serious and often chronic illness that requires early and urgent treatment. Failing to provide effective treatment of MDD can worsen the illness trajectory, negatively impact physical health, and even alter brain structure. Early optimized treatment (EOT) of MDD, with a measurement-based approach to diagnosis, rapid treatment initiation with medication dosage optimization, frequent monitoring, and prompt adjustments in treatment planning when indicated, should proceed with a sense of urgency. In this article, we describe common barriers to providing an EOT approach to treating MDD at each phase of care, along with strategies for navigating these obstacles. Approaching the treatment of MDD with a greater sense of urgency increases the likelihood of symptom reduction in MDD, facilitating full functional recovery and a return to life engagement.
Objectives/Goals: The goal of the RC2 Systems Marketing Analysis for Research Translation (SMART) special innovation program is to develop and test a structured approach for working with research teams and communities to accelerate the translation of clinical and community innovations to address health inequities by integrating social marketing with community-based system dynamics. Methods/Study Population: The SMART program is a consultancy service for CTS teams focused on selecting and tailoring implementation strategies for advancing equity. We use social marketing for understanding the alignment of practice innovation feature sets with community priorities for advancing health equity; and community-based system dynamics to understand and refine the dynamics of scaling up and sustaining the implementation of innovations with sufficient reach to address regional health inequities. The program is implemented as community-engaged group model-building workshops with research teams, with follow-up marketing analyses and computer simulation of implementation strategies of innovations and development of implementation roadmaps. We use developmental program evaluation to revise the SMART program. Results/Anticipated Results: Anticipated results from piloting the SMART innovation program with four research teams include (1) design matrices pre and post-workshop for each innovation; (2) system dynamics simulation models and analyses of implementation and scale-up of innovations; (3) analysis of the SMART program for highest impact, with priors for estimating subsequent SMART program performance; and (4) a revised SMART program based on results from the developmental program evaluation. Discussion/Significance of Impact: This work highlights the feasibility and benefits of combining methods that have been cited in implementation science for understanding the complexity of implementation to accelerate the translation of innovations into clinical and community settings for advancing health equity.
Trace amine-associated receptor 1 (TAAR1) agonists offer a new approach, but there is uncertainty regarding their effects, exact mechanism of action and potential role in treating psychosis.
Aims
To evaluate the available evidence on TAAR1 agonists in psychosis, using triangulation of the output of living systematic reviews (LSRs) of animal and human studies, and provide recommendations for future research prioritisation.
Method
This study is part of GALENOS (Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis). In the triangulation process, a multidisciplinary group of experts, including those with lived experience, met and appraised the first co-produced living systematic reviews from GALENOS, on TAAR1 agonists.
Results
The animal data suggested a potential antipsychotic effect, as TAAR1 agonists reduced locomotor activity induced by pro-psychotic drug treatment. Human studies showed few differences for ulotaront and ralmitaront compared with placebo in improving overall symptoms in adults with acute schizophrenia (four studies, n = 1291 participants, standardised mean difference (SMD) 0.15, 95% CI −0.05 to 0.34). Large placebo responses were seen in ulotaront phase three trials. Ralmitaront was less efficacious than risperidone (one study, n = 156 participants, SMD = −0.53, 95% CI −0.86 to −0.20). The side-effect profile of TAAR1 agonists was favourable compared with existing antipsychotics. Priorities for future studies included (a) using different animal models of psychosis with greater translational validity; (b) animal and human studies with wider outcomes including cognitive and affective symptoms and (c) mechanistic studies and investigations of other potential applications, such as adjunctive treatments and long-term outcomes. Recommendations for future iterations of the LSRs included (a) meta-analysis of individual human participant data, (b) including studies that used different methodologies and (c) assessing other disorders and symptoms.
Conclusions
This co-produced, international triangulation examined the available evidence and developed recommendations for future research and clinical applications for TAAR1 agonists in psychosis. Broader challenges included difficulties in assessing the risk of bias, reproducibility, translation and interpretability of animal models to clinical outcomes, and a lack of individual and clinical characteristics in the human data. The research will inform a separate, independent prioritisation process, led by lived experience experts, to prioritise directions for future research.
This study investigated the relationship between various intrapersonal factors and the discrepancy between subjective and objective cognitive difficulties in adults with attention-deficit hyperactivity disorder (ADHD). The first aim was to examine these associations in patients with valid cognitive symptom reporting. The next aim was to investigate the same associations in patients with invalid scores on tests of cognitive symptom overreporting.
Method:
The sample comprised 154 adults who underwent a neuropsychological evaluation for ADHD. Patients were divided into groups based on whether they had valid cognitive symptom reporting and valid test performance (n = 117) or invalid cognitive symptom overreporting but valid test performance (n = 37). Scores from multiple symptom and performance validity tests were used to group patients. Using patients’ scores from a cognitive concerns self-report measure and composite index of objective performance tests, we created a subjective-objective discrepancy index to quantify the extent of cognitive concerns that exceeded difficulties on objective testing. Various measures were used to assess intrapersonal factors thought to influence the subjective-objective cognitive discrepancy, including demographics, estimated premorbid intellectual ability, internalizing symptoms, somatic symptoms, and perceived social support.
Results:
Patients reported greater cognitive difficulties on subjective measures than observed on objective testing. The discrepancy between subjective and objective scores was most strongly associated with internalizing and somatic symptoms. These associations were observed in both validity groups.
Conclusions:
Subjective cognitive concerns may be more indicative of the extent of internalizing and somatic symptoms than actual cognitive impairment in adults with ADHD, regardless if they have valid scores on cognitive symptom overreporting tests.
The trace element selenium is known to protect against oxidative damage which is known to contribute to cognitive impairment with ageing (1,2). The aim of this study was to explore the association between selenium status (serum selenium and selenoprotein P (SELENOP)) and global cognitive performance at baseline and after 5 years in 85-year-olds living in the Northeast of England.
Serum selenium and SELENOP concentrations were measured at baseline by total reflection X-ray fluorescence (TXRF) and enzyme-linked immunosorbent assay (ELISA), respectively, in 757 participants from the Newcastle 85+ study. Global cognitive performance was assessed using the Standardized Mini-Mental State Examination (SMMSE) where scores ≤25 out of 30 indicated cognitive impairment. Logistic regressions explored the associations between selenium status and global cognition at baseline. Linear mixed models explored associations between selenium status and global cognition prospectively after 5 years. Covariates included sex, body mass index, physical activity, high sensitivity C-reactive protein, alcohol intake, self-rated health, medications and smoking status.
At baseline, in fully adjusted models, there was no increase in odds of cognitive impairment with serum selenium (OR 1.004, 95% CI 0.993-1.015, p = 0.512) or between SELENOP (OR 1.006, 95% CI 0.881-1.149, p = 0.930). Likewise, over 5 years, in fully adjusted models there was no association between serum selenium and cognitive impairment (β 7.20E-4 ± 5.57E-4, p = 0.197), or between SELENOP and cognitive impairment (β 3.50E-3 ± 6.85E-3, p = 0.610).
In this UK cohort of very old adults, serum selenium or SELENOP was not associated with cognitive impairment at baseline and 5 years. This was an unexpected finding despite SELENOP’s key role in the brain and the observed associations in other studies. Further research is needed to explore the effect of selenium on global cognition in very old adults.
OBJECTIVES/GOALS: The goal of this project is to characterize the efficacy of FOXA2 as a potential biomarker for patients with metastatic castrate-resistant prostate adenocarcinoma (CRPC) before transitioning to neuroendocrine prostate cancer (NEPC). NEPC currently has no therapeutic options and poor mechanistic understand of its origins. METHODS/STUDY POPULATION: In our study, we have utilized a multi-omics approach to characterize the potential efficacy of FOXA2 as a prognostic biomarker in numerous patient-derived castrate-resistant prostate cancer (CRPC) models. We have performed ATAC-, ChIP-, RNA-seq and proteomics to fully characterize where FOXA2 is binding genome-wide, how FOXA2 alters chromatin accessibility dynamics, identify regulatory gene targets of FOXA2, and identify FOXA2 protein-protein interactors. We have supported these findings using publicly available data from independent CRPC and NEPC patient cohorts and prostate cancer cell models. RESULTS/ANTICIPATED RESULTS: Our findings show that FOXA2 overexpression suppressed androgen signaling and promoted progression to a NEPC phenotype under short- and long-term androgen deprivation conditions, respectively. Further, FOXA2 redirected the chromatin accessibility landscape to be consistent with an NEPC gene expression program, including increased chromatin accessibility for key NEPC transcription factors. FOXA2 ChIP-seq showed FOXA2 to be bound at known NEPC driver genes and epigenetic modifiers across multiple stages of prostate cancer progression. Lastly, we discovered that FOXA2 physically interacts with key NEPC TFs and epigenetic regulators, suggesting that these FOXA2 physical interactions are required for NEPC progression. DISCUSSION/SIGNIFICANCE: This project will determine the efficacy of FOXA2 as a biomarker in advanced prostatecancer samples, which will translate as a potentially useful tool for clinicians to use for treatment of advanced prostate cancer patients.
To determine whether poorer performance on the Boston Naming Test (BNT) in individuals with transactive response DNA-binding protein 43 pathology (TDP-43+) is due to greater loss of word knowledge compared to retrieval-based deficits.
Methods:
Retrospective clinical-pathologic study of 282 participants with Alzheimer’s disease neuropathologic changes (ADNC) and known TDP-43 status. We evaluated item-level performance on the 60-item BNT for first and last available assessment. We fit cross-sectional negative binomial count models that assessed total number of incorrect items, number correct of responses with phonemic cue (reflecting retrieval difficulties), and number of “I don’t know” (IDK) responses (suggestive of loss of word knowledge) at both assessments. Models included TDP-43 status and adjusted for sex, age, education, years from test to death, and ADNC severity. Models that evaluated the last assessment adjusted for number of prior BNT exposures.
Results:
43% were TDP-43+. The TDP-43+ group had worse performance on BNT total score at first (p = .01) and last assessments (p = .01). At first assessment, TDP-43+ individuals had an estimated 29% (CI: 7%–56%) higher mean number of incorrect items after adjusting for covariates, and a 51% (CI: 15%–98%) higher number of IDK responses compared to TDP-43−. At last assessment, compared to TDP-43−, the TDP-43+ group on average missed 31% (CI: 6%–62%; p = .01) more items and had 33% more IDK responses (CI: 1% fewer to 78% more; p = .06).
Conclusions:
An important component of poorer performance on the BNT in participants who are TDP-43+ is having loss of word knowledge versus retrieval difficulties.
Shared genetic risk between schizophrenia (SCZ) and bipolar disorder (BD) is well-established, yet the extent to which they share environmental risk factors remains unclear. We compare the associations between environmental exposures during childhood/prior to disorder onset with the risk of developing SCZ and BD.
Methods:
We conducted a Swedish register-based nested case–control study using 4184 SCZ cases and 18 681 BD cases diagnosed 1988–2013. Cases were matched to five controls by birth year, birth region, and sex. Conditional logistic regression was used to estimate incidence rate ratios (IRR) for SCZ and BD for each exposure (severe childhood infections, adverse childhood experiences (ACEs), substance use disorders (SUDs), urban birth/longest residence).
Results:
All SUD types were associated with very high risk (IRR 4.9–25.5), and all forms of ACEs with higher risk (IRR 1.5–4.3) for both disorders. In the mutually adjusted models, ACEs demonstrated slightly higher risk for BD (SCZ IRR 1.30, 1.19-1.42; BD IRR 1.49, 1.44–1.55), while for SUD, risk was higher for SCZ (SCZ IRR 9.43, 8.15–10.92; BD IRR 5.50, 5.15–5.88). Infections were associated with increased risk of BD (IRR 1.21, 1.17–1.26) but not SCZ. Urban birth and urban longest residence were associated with higher risk of SCZ (IRR 1.19, 1.03–1.37), while only the combination of urban birth and rural longest residence showed higher risk for BD (IRR 1.24, 1.13–1.35).
Conclusions:
There were both shared and unique environmental risk factors: SUDs and ACEs were risk factors for both disorders, while infections were more strongly associated with BD and urbanicity with SCZ.
This volume introduces two unique and hitherto largely unknown contributions to the making of modern economic knowledge, and makes them available internationally for the first time in full English translation. Written in 1597 Barthelemy de Laffemas' General regulation for the establishment of manufacturers (originally in French: Reiglement général pour dresser les manufactures) is one of the earliest voices in the history of political economy emphasising the necessity of manufacturing and large-scale industry as the source of the wealth of nations. Located somewhat at the cross-roads between medieval Scholasticism and early mercantilism presents a basic version of the infant industry argument and European standard model of economic development which made it into later doctrines of thought including Enlightenment thinkers such as Colbert, Sir James Steuart or Friedrich List and nineteenth and twentieth century neomercantilism.
Leonhard Fronsperger's On the praise of self-interest (German original: Von dem Lob deß Eigen Nutzen, 1564) is the first documented instance of the 'Mandeville paradox', a theorem in modern economics usually associated with much later writings including Bernard de Mandeville's Fable of the Bees (1705/14), or Adam Smith's Theory of Moral Sentiments (1759) and Wealth of Nations (1776). Vested in Renaissance Humanism southern German military surgeon and polymath Fronsperger argues - without moving into the abstractions of neoliberalism - that possessive individualism and self-interest are key forces moving the human economy forward, contributing to virtuous cycles of enrichment and economic development.
We compared dissociative seizure specific cognitive behavior therapy (DS-CBT) plus standardized medical care (SMC) to SMC alone in a randomized controlled trial. DS-CBT resulted in better outcomes on several secondary trial outcome measures at the 12-month follow-up point. The purpose of this paper is to evaluate putative treatment mechanisms.
Methods
We carried out a secondary mediation analysis of the CODES trial. 368 participants were recruited from the National Health Service in secondary / tertiary care in England, Scotland, and Wales. Sixteen mediation hypotheses corresponding to combinations of important trial outcomes and putative mediators were assessed. Twelve-month trial outcomes considered were final-month seizure frequency, Work and Social Adjustment Scale (WSAS), and the SF-12v2, a quality-of-life measure providing physical (PCS) and mental component summary (MCS) scores. Mediators chosen for analysis at six months (broadly corresponding to completion of DS-CBT) included: (a) beliefs about emotions, (b) a measure of avoidance behavior, (c) anxiety and (d) depression.
Results
All putative mediator variables except beliefs about emotions were found to be improved by DS-CBT. We found evidence for DS-CBT effect mediation for the outcome variables dissociative seizures (DS), WSAS and SF-12v2 MCS scores by improvements in target variables avoidance behavior, anxiety, and depression. The only variable to mediate the DS-CBT effect on the SF-12v2 PCS score was avoidance behavior.
Conclusions
Our findings largely confirmed the logic model underlying the development of CBT for patients with DS. Interventions could be additionally developed to specifically address beliefs about emotions to assess whether it improves outcomes.
There is limited evidence on heterogenous co-developmental trajectories of internalizing (INT) and externalizing (EXT) problems from childhood to adolescence and predictors of these joint trajectories. We utilized longitudinal data from Raine Study participants (n = 2393) to identify these joint trajectories from 5 to 17 years using parallel-process latent class growth analysis and analyze childhood individual and family risk factors predicting these joint trajectories using multinomial logistic regression. Five trajectory classes were identified: Low-problems (Low-INT/Low-EXT, 29%), Moderate Externalizing (Moderate-EXT/Low-INT, 26.5%), Primary Internalizing (Moderate High-INT/Low-EXT, 17.5%), Co-occurring (High-INT/High-EXT, 17%), High Co-occurring (Very High-EXT/High-INT, 10%). Children classified in Co-occurring and High Co-occurring trajectories (27% of the sample) exhibited clinically meaningful co-occurring problem behaviors and experienced more adverse childhood risk-factors than other three trajectories. Compared with Low-problems: parental marital problems, low family income, and absent father predicted Co-occurring and High Co-occurring trajectories; maternal mental health problems commonly predicted Primary Internalizing, Co-occurring, and High Co-occurring trajectories; male sex and parental tobacco-smoking uniquely predicted High Co-occurring membership; other substance smoking uniquely predicted Co-occurring membership; speech difficulty uniquely predicted Primary Internalizing membership; child’s temper-tantrums predicted all four trajectories, with increased odds ratios for High Co-occurring (OR = 8.95) and Co-occurring (OR = 6.07). Finding two co-occurring trajectories emphasizes the importance of early childhood interventions addressing comorbidity.
Treatment of childhood central nervous system (CNS) tumors can lead to sensorineural hearing loss (SNHL), with prior research indicating associations between SNHL and cognitive difficulties. Infants (0-3 years) treated for CNS tumors are at particular risk for neurocognitive deficits due to increased vulnerability of the developing brain and missed developmental opportunities secondary to prolonged treatment. This study expands upon existing research by examining the association between treatment-related SNHL and later neurocognitive outcomes among infants.
Participants and Methods:
Serial audiology and neurocognitive assessments were conducted as part of a prospective, multisite, longitudinal trial (SJYC07). Children with newly diagnosed CNS tumors were treated with chemotherapy, with or without focal proton or photon radiation therapy (RT). SNHL was dichotomized based on hearing in the better ear as present versus not present (Chang grade ≥1a vs. <1a). Neurocognitive assessments included intellectual functioning (IQ), and parent ratings of executive functioning and behavioral functioning. Demographic and clinical variables investigated included: sex, age at diagnosis (years), treatment type (chemotherapy only vs. chemotherapy + RT), risk group (low vs. intermediate vs. high), and socioeconomic status (SES, continuous). Logistic regression models were used to identify factors associated with SNHL. Change point longitudinal models were used to examine the effect of each covariate individually and the potential impact of SNHL on trajectories of neurocognitive outcomes.
Results:
Of 135 patients (median age at diagnosis= 1.5 years), 67% had mild-to-severe SNHL as defined by Chang grade ≥1a at last follow-up. SNHL occurred early after treatment with a 1-year cumulative incidence 63.0% ±4.3%. SNHL was associated with age at diagnosis (p <.001) but not sex, treatment exposure or study risk arm (p >.10). At pretreatment baseline, IQ was associated with age at diagnosis (older age= higher IQ) and SES (higher SES= higher IQ) with a change in the trajectory of IQ after SNHL (stable prior to SNHL and declined 1.46 points/year after SNHL), which was impacted by tumor location (patients with supratentorial tumors stable prior to SNHL and declined 2.84 points/year after SNHL; whereas, patients with infratentorial tumors increased 1.93 points/year prior to SNHL and were stable after SNHL). At pre-treatment baseline, adaptive functioning was associated with age at diagnosis (older age= higher skills) with a change in adaptive functioning after SNHL that varied by age. There was a change in trajectory of attention problems (stable before SNHL and worsening 1.39 points/year after SNHL). SNHL was not associated with parent report of emerging executive functioning.
Conclusions:
Children with brain tumors experience SNHL and cognitive difficulties early in treatment that can worsen over time. Younger age at diagnosis is associated with greater risk for SNHL and cognitive difficulties. Analyses of the time course between the emergence of SNHL and cognitive late effects suggests even mild SNHL is associated with a clinically signficant decline in IQ and attention problems. These findings have notable implications with respect to refining monitoring guidelines, informing modifications to treatment, advocating for interventions, and helping educate parents, teachers, and providers about the significant impact of mild SNHL.
The Immigrant Health Paradox (IHP) suggests that immigrants have better health upon arrival in comparison to their U.S.-born Latinx counterparts, indicating that immigrants’ unique experiences may buffer against negative health outcomes, including cognition. Some studies indicate that IHP-related cognitive health benefits diminish with increased time spent in the U.S., while others suggest that this relationship may be age-dependent such that compared to migration during earlier or later life, migration during young/middle adulthood may be related to better cognition-potentially due to higher simultaneous cognitive demands associated with this age epoch (e.g., language acquisition, acculturation). However, this literature is equivocal and has methodological limitations (e.g., cognition typically assessed with cognitive screeners, lack of clinical populations) Thus, this study aimed to examine the role of age related to IHP and cognition within a well-characterized sample of HIV+ Latinx adults. It was hypothesized that compared to U.S.-born Latinx adults and those who immigrated earlier or later in life, the Latinx immigrant subgroup who migrated during young/middle adulthood would demonstrate better cognitive functioning.
Participants and Methods:
This cross-sectional study included a HIV+ sample (A/=105) of 34 Latinx immigrants (Mage=45.56, SD=6.99) and 71 U.S.-born Latinx individuals (Mage=46.03, SD=7.63), who completed a comprehensive sociocultural questionnaire and cognitive battery. Demographically-adjusted average T-scores were computed for each cognitive test and domain (e.g., learning, memory). A series of Welch’s-corrected ANOVAS with post hoc Games-Howell tests for multiple comparisons were conducted to compare cognitive function across three groups: Latinx immigrants who migrated during earlier (<19 yrs) or later adulthood (>50 yrs), young/middle adulthood (20-49 yrs), and U.S.-born Latinx adults.
Results:
Compared to the other Latinx subgroups, Latinx immigrants who migrated during middle adulthood performed worse in Verbal Fluency (F(2,98)=8.04, p<.001), Attention/Working Memory (f(2,96)=6.10, p<.01), Executive Function (f(2,99)=5.11, p<.01), and Processing Speed (F(2,101)=3.36, p<.05). Posthoc Games-Howell tests showed that the mean Verbal Fluency (p<.01, 95% C.I.=[-21.37, -2.66]), Attention/Working Memory (p<.05, 95% C.I.=[-16.82, -1.59]), Executive Function (p<.01, 95% C.I.=[-14.66, -2.49]) and Processing Speed (p<.05, 95% C.I.=[-13.60, -1.31]) T-scores were significantly lower in Latinx immigrants who migrated in young/middle adulthood compared to the U.S.-born Latinx sample. Further, there were no differences between the U.S.-born Latinx group compared to the Latinx immigrant group who migrated earlier or later in life (ps>.05).
Conclusions:
This preliminary study is the first to examine whether the potential protective cognitive effects of the IHP vary across the lifespan among Latinx immigrants with HIV, using a comprehensive neuropsychological battery. Age-related IHP benefits were not observed in this study. Moreover, Latinx immigrants who migrated during young/middle adulthood had worse cognitive functioning compared to their U.S.-born Latinx counterparts and those that migrated earlier or later in life. A possible explanation for this study’s unexpected findings is that the IHP is outdated due to the current sociopolitical climate immigrants experience compared to the 1980s when the theory was developed. Future studies, with larger samples, longitudinal designs, and greater sociocultural characterization (e.g., immigration reason/s, country of origin, discrimination), are needed to better understand the role of IHP in cognition.
There is a dearth of data on Se status in very old adults. The aims of this study were to assess Se status and its determinants in 85-year-olds living in the Northeast of England by measuring serum Se and selenoprotein P (SELENOP) concentrations and glutathione peroxidase 3 (GPx3) activity. A secondary aim was to examine the interrelationships between each of the biomarkers. In total, 757 participants (463 women, 293 men) from the Newcastle 85+ Study were included. Biomarker concentrations were compared with selected cut-offs (serum Se: suboptimal 70 µg/l and deficient 45 µg/l; SELENOP: suboptimal 4·5 mg/l and deficient 2·6 mg/l). Determinants were assessed using linear regressions, and interrelationships were assessed using restricted cubic splines. Median (inter-quartile range) concentrations of serum Se, SELENOP and of GPx3 activity were 53·6 (23·6) µg/l, 2·9 (1·9) mg/l and 142·1 (50·7) U/l, respectively. Eighty-two percentage and 83 % of participants had suboptimal serum Se (< 70 µg/l) and SELENOP (< 4·5 mg/l), and 31 % and 40 % of participants had deficient serum Se (< 45 µg/l) and SELENOP (< 2·6 mg/l), respectively. Protein intake was a significant determinant of Se status. Additional determinants of serum Se were sex, waist:hip ratio, self-rated health and disease, while sex, BMI and physical activity were determinants of GPx3 activity. There was a linear association between serum Se and SELENOP, and nonlinear associations between serum Se and GPx3 activity and between SELENOP and GPx3 activity. These findings indicate that most participants had suboptimal Se status to saturate circulating SELENOP.
Infection prevention program leaders report frequent use of criteria to distinguish recently recovered coronavirus disease 2019 (COVID-19) cases from actively infectious cases when incidentally positive asymptomatic patients were identified on routine severe acute respiratory coronavirus virus 2 (SARS-CoV-2) polymerase chain reaction (PCR) testing. Guidance on appropriate interpretation of high-sensitivity molecular tests can prevent harm from unnecessary precautions that delay admission and impede medical care.