Childhood and Adulthood Trauma Associate With Cognitive Aging Among Black and White Older Adults.

Sociocontextual factors powerfully shape risk for age-related cognitive impairment, including excess risk burdening medically underserved populations. Lifecourse adversity associates with cognitive aging, but harms are likely mitigable. Understanding population-salient relationships and sensitive periods for exposure is crucial for targeting clinical interventions. OBJECTIVE: The authors examined childhood and adulthood traumatic events in relation to cognition among Black and White older adults in the Health and Retirement Study (HRS). PARTICIPANTS: Participants (N = 13,952) aged 55+ had complete lifetime trauma and cognitive testing data at the 2006/08, 2010/12, and/or 2014/16 waves. MEASURES: Trauma indices comprised childhood and adulthood event counts. Outcomes included baseline performance and trajectories on the Telephone Interview for Cognitive Status. DESIGN: Main and nonlinear trauma effects were modeled via linear regression, and overall contributions assessed with omnibus likelihood ratio tests. RESULTS: Black participants (N = 2,345) reported marginally lower adulthood trauma exposure than White participants (N = 11,607) with no other exposure differentials observed. In White participants only, greater childhood trauma exposure predicted worse baseline cognition but slower change over time. Across race, adulthood trauma robustly associated with baseline cognition. Relationships were frequently nonlinear: low but nonzero trauma predicted highest cognitive scores, with much poorer cognition observed as trauma exposure increased. Relationships between adulthood trauma and trajectory were limited to the White sample. CONCLUSION: Traumatic experiences, particularly in adulthood, may impact late-life cognitive health if not addressed. Findings highlight foci for clinical researchers and providers: adverse life events as a source of cognitive risk, and identification of community-specific resources that buffer behavioral, physical, and mental health sequelae of previous and incident trauma.

Food insecurity in children with heart disease.

PURPOSE OF REVIEW: This review discusses the epidemiology of food insecurity (FI) and its consequences in children with congenital heart disease. We aimed to highlight current interventions to screen and address food insecurity in the context of pediatric cardiology and to offer strategies for providers to engage in this meaningful work. RECENT FINDINGS: Food insecurity is consistently associated with poor health outcomes in children. In the United States, 17.3% of households with children experience FI. Nonwhite and single-parent families are disproportionately affected. Interestingly, because of a low-quality diet, FI is associated with childhood obesity, putting affected children at increased risk for cardiovascular morbidity and mortality over time. Children with congenital heart disease are susceptible to poor outcomes due to unique altered metabolic demands, increased risk for growth impairment, frequent need for specialized feeding regimens, and additional morbidity associated with heart surgery in underweight children. SUMMARY: Today, the burden of screening for FI is most commonly placed on general pediatricians. Considering the importance of nutrition to cardiovascular health and general wellbeing, and the ease with which screening can be performed, pediatric cardiologists and other subspecialists should take a more active role in FI screening.

The Influence of Rapid Influenza Diagnostic Testing on Clinician Decision-Making for Patients With Acute Respiratory Infection in Urgent Care.

BACKGROUND: The potential benefits of using rapid influenza diagnostic tests (RIDTs) in urgent care facilities for clinical care and prescribing practices are understudied. We compared antiviral and antibiotic prescribing, imaging, and laboratory ordering in clinical encounters with and without RIDT results. METHODS: We compared patients with acute respiratory infection (ARI) symptoms who received an RIDT and patients who did not at 2 urgent care facilities. Primary analysis using 1-to-1 exact matching resulted in 1145 matched pairs to which McNemar 2 × 2 tests were used to assess the association between the likelihood of prescribing, imaging/laboratory ordering, and RIDT use. Secondary analysis compared the same outcomes using logistic regression among the RIDT-tested population between participants who tested negative (RIDT(-)) and positive (RIDT(+)). RESULTS: Primary analysis revealed that compared to the non-RIDT-tested population, RIDT(+) patients were more likely to be prescribed antivirals (OR, 10.23; 95% CI, 5.78-19.72) and less likely to be prescribed antibiotics (OR, 0.15; 95% CI, .08-.27). Comparing RIDT-tested to non-RIDT-tested participants, RIDT use increased antiviral prescribing odds (OR, 3.07; 95% CI, 2.25-4.26) and reduced antibiotic prescribing odds (OR, 0.52; 95% CI, .43-.63). Secondary analysis identified increased odds of prescribing antivirals (OR, 28.21; 95% CI, 18.15-43.86) and decreased odds of prescribing antibiotics (OR, 0.20; 95% CI, .13-.30) for RIDT(+) participants compared with RIDT(-). CONCLUSIONS: Use of RIDTs in patients presenting with ARI symptoms influences clinician diagnostic and treatment decision-making, which could lead to improved patient outcomes, population-level reductions in influenza burden, and a decreased threat of antibiotic resistance.

Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records.

Electronic health records (EHRs) have become a platform for data-driven granular-level surveillance in recent years. In this paper, we make use of EHRs for early prevention of childhood obesity. The proposed method simultaneously provides smooth disease mapping and outlier information for obesity prevalence that are useful for raising public awareness and facilitating targeted intervention. More precisely, we consider a penalized multilevel generalized linear model. We decompose regional contribution into smooth and sparse signals, which are automatically identified by a combination of fusion and sparse penalties imposed on the likelihood function. In addition, we weigh the proposed likelihood to account for the missingness and potential nonrepresentativeness arising from the EHR data. We develop a novel alternating minimization algorithm, which is computationally efficient, easy to implement, and guarantees convergence. Simulation studies demonstrate superior performance of the proposed method. Finally, we apply our method to the University of Wisconsin Population Health Information Exchange database.

BrainAGE and regional volumetric analysis of a Buddhist monk: a longitudinal MRI case study.

Yongey Mingyur Rinpoche (YMR) is a Tibetan Buddhist monk, and renowned meditation practitioner and teacher who has spent an extraordinary number of hours of his life meditating. The brain-aging profile of this expert meditator in comparison to a control population was examined using a machine learning framework, which estimates "brain-age" from brain imaging. YMR's brain-aging rate appeared slower than that of controls suggesting early maturation and delayed aging. At 41 years, his brain resembled that of a 33-year-old. Specific regional changes did not differentiate YMR from controls, suggesting that the brain-aging differences may arise from coordinated changes spread throughout the gray matter.

Adolescents' awareness about prescription opioid misuse and preferences for educational interventions.

OBJECTIVES: This study explored adolescents' awareness about prescription opioid misuse, sources of medication information, and educational preferences. DESIGN: An online survey explored adolescents' understanding and perceptions of prescription opioids and opioid misuse and safety, medication information sources, and educational preferences. SETTING AND PARTICIPANTS: Eligible participants included students from 3 Wisconsin high schools who could speak and understand English. Participants were recruited through "backpack mail" and completed surveys online at school. OUTCOME MEASURS: Survey responses were compared across demographic information of the study participants. Binary response items were compared across demographic strata by Fisher exact tests, and Likert responses were analyzed by Kruskal-Wallis tests. RESULTS: A total of 190 students (53% female, 53% white, 32% Hispanic) were surveyed. Most (83.5%) considered using someone else's opioid medication to be misuse, 85.2% identified using opioids at a higher dose or frequency than prescribed as misuse, and 67.6% considered using an opioid prescription after its expiration date to be misuse. Approximately 90% of students perceived that opioid misuse causes some, quite a bit, or a great deal of harm to a person's physical and mental health and school ability. Many students were able to correctly identify examples and consequences of misuse, however 24.7% believed that flushing opioids down the drain was dangerous. The most common source for finding information about opioids was Google or other search engines (67.6%), followed by talking with parents (56.7%), talking with a doctor or nurse (54.9%), and online videos (42.3%). CONCLUSION: Adolescents have some opioid safety knowledge, but there is a clear opportunity to increase knowledge and understanding of risks. Adolescents could benefit from opioid safety education, particularly on safe storage and disposal, harms of misuse, and strategies for discouraging peer opioid misuse.

Characterizing the Effects of Sex, APOE ɛ4, and Literacy on Mid-life Cognitive Trajectories: Application of Information-Theoretic Model Averaging and Multi-model Inference Techniques to the Wisconsin Registry for Alzheimer's Prevention Study.

OBJECTIVES: Prior research has identified numerous genetic (including sex), education, health, and lifestyle factors that predict cognitive decline. Traditional model selection approaches (e.g., backward or stepwise selection) attempt to find one model that best fits the observed data, risking interpretations that only the selected predictors are important. In reality, several predictor combinations may fit similarly well but result in different conclusions (e.g., about size and significance of parameter estimates). In this study, we describe an alternative method, Information-Theoretic (IT) model averaging, and apply it to characterize a set of complex interactions in a longitudinal study on cognitive decline. METHODS: Here, we used longitudinal cognitive data from 1256 late-middle aged adults from the Wisconsin Registry for Alzheimer's Prevention study to examine the effects of sex, apolipoprotein E (APOE) ɛ4 allele (non-modifiable factors), and literacy achievement (modifiable) on cognitive decline. For each outcome, we applied IT model averaging to a set of models with different combinations of interactions among sex, APOE, literacy, and age. RESULTS: For a list-learning test, model-averaged results showed better performance for women versus men, with faster decline among men; increased literacy was associated with better performance, particularly among men. APOE had less of an association with cognitive performance in this age range (∼40-70 years). CONCLUSIONS: These results illustrate the utility of the IT approach and point to literacy as a potential modifier of cognitive decline. Whether the protective effect of literacy is due to educational attainment or intrinsic verbal intellectual ability is the topic of ongoing work. (JINS, 2019, 25, 119-133).

Association between enrollment factors and incident cognitive impairment in Blacks and Whites: Data from the Alzheimer's Disease Center.

INTRODUCTION: We examined the influence of enrollment factors demonstrated to differ by race on incident mild cognitive impairment and dementia using Alzheimer's Disease Center data. METHODS: Differences in rates of incident impairment between non-Latino Whites and Blacks (n = 12,242) were examined with age-at-progression survival models. Models included race, sex, education, source of recruitment, health factors, and family history of dementia. RESULTS: No significant race differences in progression were observed in cognitively unimpaired participants. In those with mild cognitive impairment at baseline, Whites evidenced greater risk for progression than Blacks. Enrollment factors, for example, referral source, were significantly related to progression. DISCUSSION: The finding that Blacks demonstrated lower rate of progression than Whites is contrary to the extant literature. Nested-regression analyses suggested that selection-related factors, differing by race, may account for these findings and influence our ability to accurately estimate risk for progression. It is potentially problematic to make racial comparisons using Alzheimer's Disease Center data sets.

Hypertension and obesity moderate the relationship between ß-amyloid and cognitive decline in midlife.

BACKGROUND: This study tested if central obesity, hypertension, or depressive symptoms moderated the relationship between ß-amyloid (Aß) and longitudinal cognitive performance in late middle-aged adults enriched for Alzheimer's disease (AD) risk. METHODS: Participants (n = 207; ages = 40-70 years; 73% parental AD) in the Wisconsin Registry for Alzheimer's Prevention study completed 3+ neuropsychological evaluations and a [11C]PiB positron emission tomography scan or lumbar puncture. Linear mixed-effects regression models tested interactions of risk factor × Aß × visit age on longitudinal Verbal Learning & Memory and Speed & Flexibility factor scores. RESULTS: The relationship between Aß and Verbal Learning & Memory decline was moderated by hypertension (χ2(1) = 3.85, P = .04) and obesity (χ2(1) = 6.12, P = .01); those with both elevated Aß and the risk factor declined at faster rates than those with only elevated Aß or elevated risk factors. CONCLUSION: In this cohort, hypertension and obesity moderated the relationship between Aß and cognitive decline.

Hemolysis following wrap aortoplasty for Type A aortic dissection repair: Case report and review of the literature.

A Dacron wrap aortoplasty has been described as an adjunct to reduction ascending aortoplasty for the repair of Type A aortic dissections. We report a case of an uncomplicated hemiarch repair with wrap aortoplasty of the distal anastomosis which resulted in severe acute hemolysis. Despite only minimal focal graft deformation on imaging, the patient was found to have a flow gradient across the distal anastomosis, which was reduced by > 50% following release of the outer graft wrap. To our knowledge, only 29 additional cases of hemolytic anemia following aortic dissection repair have been described in the English literature. The reported mechanisms included aortic graft stenosis (50%), graft kinking (23%), external compression of the graft (20%), and a folded elephant trunk appendage (7%). The mean onset of hemolysis following aortic dissection repair occurred 32.2 ± 44.4 months after surgery, with only 16.7% of cases occurring within 2 weeks. This review details the clinical, laboratory, and imaging findings suggestive of mechanical hemolysis following aortic surgery.

Transrectal osteopathic manipulation treatment for chronic coccydynia: feasibility, acceptability and patient-oriented outcomes in a quality improvement project.

CONTEXT: Pain of the coccyx, coccydynia, is a common condition with a substantial impact on the quality of life. Although most cases resolve with conservative care, 10 % become chronic and are more debilitating. Treatment for chronic coccydynia is limited; surgery is not definitive. Osteopathic manipulative treatment (OMT) is the application of manually guided forces to areas of somatic dysfunction to improve physiologic function and support homeostasis including for coccydynia, but its use as a transrectal procedure for coccydynia in a primary care clinic setting is not well documented. OBJECTIVES: We aimed to conduct a quality improvement (QI) study to explore the feasibility, acceptability, and clinical effects of transrectal OMT for chronic coccydynia in a primary care setting. METHODS: This QI project prospectively treated and assessed 16 patients with chronic coccydynia in a primary care outpatient clinic. The intervention was transrectal OMT as typically practiced in our clinic, and included myofascial release and balanced ligamentous tension in combination with active patient movement of the head and neck. The outcome measures included: acceptance, as assessed by the response rate (yes/no) to utilize OMT for coccydynia; acceptability, as assessed by satisfaction with treatment; and coccygeal pain, as assessed by self-report on a 0-10 numerical rating scale (NRS) for coccydynia while lying down, seated, standing, and walking. RESULTS: Sixteen consecutive patients with coccydynia were offered and accepted OMT; six patients also received other procedural care. Ten patients (two males, eight females) received only OMT intervention for their coccydynia and were included in the per-protocol analysis. Posttreatment scores immediately after one procedure (acute model) and in follow-up were significantly improved compared with pretreatment scores. Follow-up pain scores provided by five of the 10 patients demonstrated significant improvement. The study supports transrectal OMT as a feasible and acceptable treatment option for coccydynia. Patients were satisfied with the procedure and reported improvement. There were no side effects or adverse events. CONCLUSIONS: These data suggest that the use of transrectal OMT for chronic coccydynia is feasible and acceptable; self-reported improvement suggests utility in this clinic setting. Further evaluation in controlled studies is warranted.

Effect of planned school breaks on student absenteeism due to influenza-like illness in school aged children-Oregon School District, Wisconsin September 2014-June 2019.

Background: School-aged children and school reopening dates have important roles in community influenza transmission. Although many studies evaluated the impact of reactive closures during seasonal and pandemic influenza outbreaks on medically attended influenza in surrounding communities, few assess the impact of planned breaks (i.e., school holidays) that coincide with influenza seasons, while accounting for differences in seasonal peak timing. Here, we analyze the effects of winter and spring breaks on influenza risk in school-aged children, measured by student absenteeism due to influenza-like illness (a-ILI). Methods: We compared a-ILI counts in the 2-week periods before and after each winter and spring break over five consecutive years in a single school district. We introduced a "pseudo-break" of 9 days' duration between winter and spring break each year when school was still in session to serve as a control. The same analysis was applied to each pseudo-break to support any findings of true impact. Results: We found strong associations between winter and spring breaks and a reduction in influenza risk, with a nearly 50% reduction in a-ILI counts post-break compared with the period before break, and the greatest impact when break coincided with increased local influenza activity while accounting for possible temporal and community risk confounders. Conclusions: These findings suggest that brief breaks of in-person schooling, such as planned breaks lasting 9-16 calendar days, can effectively reduce influenza in schools and community spread. Additional analyses investigating the impact of well-timed shorter breaks on a-ILI may determine an optimal duration for brief school closures to effectively suppress community transmission of influenza.

Descriptive Epidemiology of Pathogens Associated with Acute Respiratory Infection in a Community-Based Study of K-12 School Children (2015-2023).

School-based outbreaks often precede increased incidence of acute respiratory infections in the greater community. We conducted acute respiratory infection surveillance among children to elucidate commonly detected pathogens in school settings and their unique characteristics and epidemiological patterns. The ORegon CHild Absenteeism due to Respiratory Disease Study (ORCHARDS) is a longitudinal, laboratory-supported, school-based, acute respiratory illness (ARI) surveillance study designed to evaluate the utility of cause-specific student absenteeism monitoring for early detection of increased activity of influenza and other respiratory viruses in schools from kindergarten through 12th grade. Eligible participants with ARIs provided demographic, epidemiologic, and symptom data, along with a nasal swab or oropharyngeal specimen. Multipathogen testing using reverse-transcription polymerase chain reaction (RT-PCR) was performed on all specimens for 18 respiratory viruses and 2 atypical bacterial pathogens (Chlamydia pneumoniae and Mycoplasma pneumoniae). Between 5 January 2015 and 9 June 2023, 3498 children participated. Pathogens were detected in 2455 of 3498 (70%) specimens. Rhinovirus/enteroviruses (36%) and influenza viruses A/B (35%) were most commonly identified in positive specimens. Rhinovirus/enteroviruses and parainfluenza viruses occurred early in the academic year, followed by seasonal coronaviruses, RSV, influenza viruses A/B, and human metapneumovirus. Since its emergence in 2020, SARS-CoV-2 was detected year-round and had a higher median age than the other pathogens. A better understanding of the etiologies, presentations, and patterns of pediatric acute respiratory infections can help inform medical and public health system responses.

Associations of sleep duration and daytime sleepiness with plasma amyloid beta and cognitive performance in cognitively unimpaired, middle-aged and older African Americans.

STUDY OBJECTIVES: Given the established racial disparities in both sleep health and dementia risk for African American populations, we assess cross-sectional and longitudinal associations of self-report sleep duration (SRSD) and daytime sleepiness with plasma amyloid beta (Aß) and cognition in an African American (AA) cohort. METHODS: In a cognitively unimpaired sample drawn from the African Americans Fighting Alzheimer's in Midlife (AA-FAiM) study, data on SRSD, Epworth Sleepiness Scale, demographics, and cognitive performance were analyzed. Aß40, Aß42, and the Aß42/40 ratio were quantified from plasma samples. Cross-sectional analyses explored associations between baseline predictors and outcome measures. Linear mixed-effect regression models estimated associations of SRSD and daytime sleepiness with plasma Aß and cognitive performance levels and change over time. RESULTS: One hundred and forty-seven participants comprised the cross-sectional sample. Baseline age was 63.2 ±â€…8.51 years. 69.6% self-identified as female. SRSD was 6.4 ±â€…1.1 hours and 22.4% reported excessive daytime sleepiness. The longitudinal dataset included 57 participants. In fully adjusted models, neither SRSD nor daytime sleepiness is associated with cross-sectional or longitudinal Aß. Associations with level and trajectory of cognitive test performance varied by measure of sleep health. CONCLUSIONS: SRSD was below National Sleep Foundation recommendations and daytime sleepiness was prevalent in this cohort. In the absence of observed associations with plasma Aß, poorer self-reported sleep health broadly predicted poorer cognitive function but not accelerated decline. Future research is necessary to understand and address modifiable sleep mechanisms as they relate to cognitive aging in AA at disproportionate risk for dementia. CLINICAL TRIAL INFORMATION: Not applicable.

Feasibility and Functionality of SARS-CoV-2 Rapid Testing in K-12 School Health Offices.

INTRODUCTION: The COVID-19 pandemic created unprecedented opportunities to introduce rapid SARS-CoV-2 antigen testing (RSAT) into kindergarten through 12th grade (K-12) school settings. We evaluated the feasibility and functionality of Sofia Fluorescent Immunoassay Flu + SARS in 1 school district across the 2021-2022 academic year. METHODS: Seven schools in the Oregon School District (Oregon, Wisconsin) were supplied with RSAT analyzers and test kits, along with minimal training of health office staff. We assessed RSAT utilization among schools, rate of invalid results, and comparability to 952 190 reverse transcription-polymerase chain reaction tests performed countywide during the same time period. A feedback survey was distributed to all 13 health office staff to assess respondents' perceptions regarding the feasibility and acceptability of RSAT in the Oregon School District. RESULTS: Over the school year, 1226 RSATs were performed; SARS-CoV-2 was detected in 103 specimens. Percent positivity was similar to the county level (8.4 vs 9.2%; chi-square = 0.74; P = 0.39). Cross-correlation of weekly positive tests between the Oregon School District and Dane County was maximal with no lag (rs = 0.69; P < 0.001). Health office staff indicated Sofia2 RSAT was easy to perform, and 92.3% reported interest in continuing to utilize RSAT in the upcoming school year. CONCLUSIONS: Implementing a RSAT protocol is feasible and acceptable for monitoring SARS-CoV-2 cases in K-12 school settings. High rates of compliance and confidence in results demonstrate program effectiveness. Continuing to use RSAT in school settings after the urgency of the pandemic subsides could help address future outbreaks of SARS-CoV-2 and other respiratory viruses within schools and in the larger community.

Wisconsin Healthcare Utilization Cost Among American Indians/Alaska Natives with and without Alzheimer's Disease and Related Dementias.

Individuals with Alzheimer's disease and related dementias (ADRD) accrue higher healthcare utilization costs than peers without ADRD, but incremental costs of ADRD among American Indians/Alaska Natives (AI/AN) is unknown. State-wide paid electronic health record data were retrospectively analyzed using percentile-based bootstrapped 95% confidence intervals of the weighted mean difference of total 5-year billed costs to compare total accrued for non-Tribal and Indian Health Service utilization costs among Medicaid and state program eligible AI/AN, ≥40 years, based on the presence/absence of ADRD (matching by demographic and medical factors). AI/AN individuals with ADRD accrued double the costs compared to those without ADRD, costing an additional $880.45 million to $1.91 billion/year.

Effect of Metabolic Syndrome Risk Factors on Processing Speed and Executive Function in Three Racialized Groups.

BACKGROUND: Metabolic syndrome (MetS) has been associated with increased risk for Alzheimer's disease and related dementias (ADRD). Understanding the association of MetS risk factors to processing speed and executive function in the pre-clinical stages of ADRD in under-represented groups would offer insight on potential mechanisms through which MetS associates with ADRD risk. OBJECTIVE: Examine association of MetS features and processing speed and executive function across three racial groups. METHODS: Cognitively unimpaired adults from the Wisconsin Alzheimer's Disease Research Center and the Wisconsin Registry for Alzheimer's Disease Prevention completed blood-draws and neuropsychological testing. Six cognitive outcomes were assessed in association to MetS risk factors: Trailmaking Tests A and B, Animal Fluency, Digit Symbol, and composite scores for Processing Speed and Executive Function. Linear mixed effect models were used to assess the relationship between MetS risk factor count and longitudinal cognitive performance across three racialized groups. RESULTS: Participant sample sizes varied by outcome analyzed (N = 714-1,088). African American and Native American groups exhibited higher rates of MetS than non-Hispanic Whites. MetS was associated with processing speed and executive function across all racialized groups. Three-way interaction by racialized group was limited to one cognitive outcome: Trailmaking Test A. CONCLUSION: Metabolic dysfunction incrementally affects cognitive trajectory, with generally similar associations across racial groups. Since racialized groups exhibit higher levels of both MetS and ADRD, MetS may represent a driving factor for increased ADRD risk experience by racialized group and an important and modifiable target through which to reduce risk of ADRD.

Plasma Aß42/40 and cognitive variability are associated with cognitive function in Black Americans: Findings from the AA-FAIM cohort.

Introduction: It is critical to develop more inclusive Alzheimer's disease (AD) research protocols to ensure that historically excluded groups are included in preclinical research and have access to timely diagnosis and treatment. If validated in racialized groups, plasma AD biomarkers and measures of subtle cognitive dysfunction could provide avenues to expand diversity in preclinical AD research. We sought to evaluate the utility of two easily obtained, low-burden disease markers, plasma amyloid beta (Aß)42/40, and intra-individual cognitive variability (IICV), to predict concurrent and longitudinal cognitive performance in a sample of Black adults. Methods: Two hundred fifty-seven Black participants enrolled in the African Americans Fighting Alzheimer's in Midlife (AA-FAIM) study underwent at least one cognitive assessment visit; a subset of n = 235 had plasma samples. Baseline IICV was calculated as the standard deviation across participants' z scores on five cognitive measures: Rey Auditory Verbal Learning Test Delayed Recall, Trail Making Test Parts A and B (Trails A and B), and Boston Naming Test. Using mixed effects regression models, we compared concurrent and longitudinal models to baseline plasma Aß42/40 or IICV by age interactions. PrecivityAD assays quantified baseline plasma Aß42/40. Results: IICV was associated with concurrent/baseline performance on several outcomes but did not modify associations between age and cognitive decline. In contrast, plasma Aß42/40 was unrelated to baseline cognitive performance, but a pattern emerged in interactions with age in longitudinal models of Trails A and B and Rey Auditory Verbal Learning Test total learning trials. Although not significant after correcting for multiple comparisons, low Aß42/40 was associated with faster cognitive declines over time. Discussion: Our results are promising as they extend existing findings to an Black American sample using low-cost, low-burden methods that can be implemented outside of a research center, thus supporting efforts for inclusive AD biomarker research.

Development of the Adolescent Opioid Safety and Learning (AOSL) scale using exploratory factor analysis.

BACKGROUND: While adolescents in the United States are one of the most affected groups by the opioid crisis, their perceptions on opioid misuse and preferences for education are rarely studied. Although it is critical to educate adolescents on proper opioid use and storage, many educational tools need easy measurement scales to systematically document learning of targeted programs. It is essential to understand adolescents' knowledge about opioid risks and perceptions about the opioid crisis to design effective preventive interventions. OBJECTIVE: The purpose of this study was to develop an effective scale that measures adolescents' knowledge about opioid misuse and interest in learning about prescription opioid safety. METHODS: Using survey data from 188 high school students in the Midwest, exploratory factor analysis (EFA) was used to examine the underlying structure of an initial 68 items. Items were adapted from a statewide survey previously designed to document awareness of prescription drug misuse and abuse in the state of Wisconsin. Refinement of the scale used factor analysis iterations and internal consistency measures. Cronbach's alpha was used to determine internal consistency among the items. RESULTS: Three exploratory factor analysis iterations resulted in a 16-item four-factor structure describing adolescents' knowledge of misuse and harm, their interest in learning about prescription opioids, and their tendency to practice misuse behaviors. Internal consistency and the correlation among factors were examined and strong (Cronbach's α > 0.8). The final 16-item instrument was termed the Adolescent Opioid Safety and Learning (AOSL) Scale. CONCLUSIONS: When combined with adolescent opioid education tools, the AOSL Scale can help assess and document medication safety learning. The four subscales could support researchers and practitioners in measuring adolescents' orientation towards prescription opioid misuse. The AOSL Scale may also be used in developing targeted educational materials on prevention of opioid misuse for adolescents.