An Equitable Communication and Dissemination Model for Linking Culturally Diverse Communities to COVID-19 Services.

In 2020, the Office of Minority Health (OMH) funded the establishment of the National COVID-19 Resiliency Network (NCRN) to engage priority communities that included African American, American Indian, Alaska Native, Asian, Hispanic, Native Hawaiian, and Pacific Islander persons to aggregate culturally relevant messages, education tools, and national data sources. A mobile application and Web site supported a culturally sensitive, equity-focused communication and dissemination initiative to link communities to COVID-19 clinical, social, and behavioral health services to address health determinants. (Am J Public Health. Published online ahead of print October 16, 2024:e1-e5. https://doi.org/10.2105/AJPH.2024.307813).

Prolonged exposure for posttraumatic stress disorder following spinal cord injury: A randomized controlled trial.

PURPOSE/OBJECTIVE: Individuals with a spinal cord injury (SCI) may experience posttraumatic stress disorder (PTSD) at a higher rate, which is associated with worse psychiatric comorbidity, decreased quality of life, and greater disability. Yet, effective PTSD interventions remain understudied for individuals with SCI. We conducted the first randomized controlled trial (RCT) of an evidence-based psychotherapy (prolonged exposure [PE]) with survivors of SCI during acute rehabilitation. We examined the efficacy, feasibility, and secondary outcomes. RESEARCH METHOD/DESIGN: Participants (n = 29) were adults recruited from 2018 to 2021 1-month postinjury with PTSD randomized into either PE therapy or treatment as usual. The primary outcome was PTSD assessed at baseline, 6, 10, and 32 weeks postenrollment. RESULTS: An overall group-by-time interaction was not statistically significant (p = .102), but effect sizes demonstrated moderate and large improvements in PTSD for the PE group at 6 (-19.4 vs. -9.7) and 10 (-25.8 vs. -5.7), respectively. Similarly, moderate to large effect sizes were observed for depression, maladaptive posttraumatic cognitions, disruptive nocturnal behaviors, SCI-related quality of life, and risky alcohol consumption. Low rates of enrollment (50%) and treatment completion (25%) suggest feasibility challenges; however, treatment completers did report high satisfaction (100%). CONCLUSIONS/IMPLICATIONS: Results suggest that individuals who received PE had a quicker and clinically meaningful reduction in PTSD symptoms, but delivery during acute rehabilitation is not feasible for many individuals. Future research should examine abbreviated versions of PE for PTSD to enhance the feasibility of treatment in this setting. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Comprehensiveness of State Insurance Laws and Perceived Access to Pediatric Mental Health Care.

Importance: Many US children and adolescents with mental and behavioral health (MBH) conditions do not access MBH services. One contributing factor is limited insurance coverage, which is influenced by state MBH insurance parity legislation. Objective: To investigate the association of patient-level factors and the comprehensiveness of state MBH insurance legislation with perceived poor access to MBH care and perceived inadequate MBH insurance coverage for US children and adolescents. Design, Setting, and Participants: This retrospective cross-sectional study was conducted using responses by caregivers of children and adolescents aged 6 to 17 years with MBH conditions in the National Survey of Children's Health and State Mental Health Insurance Laws Dataset from 2016 to 2019. Data analyses were conducted from May 2022 to January 2024. Exposure: MBH insurance legislation comprehensiveness defined by State Mental Health Insurance Laws Dataset (SMHILD) scores (range, 0-7). Main Outcomes and Measures: Perceived poor access to MBH care and perceived inadequacy of MBH insurance were assessed. Multivariable regression models adjusted for individual-level characteristics. Results: There were 29 876 caregivers of children and adolescents with MBH conditions during the study period representing 14 292 300 youths nationally (7 816 727 aged 12-17 years [54.7%]; 8 455 171 male [59.2%]; 292 543 Asian [2.0%], 2 076 442 Black [14.5%], and 9 942 088 White [69.6%%]; 3 202 525 Hispanic [22.4%]). A total of 3193 caregivers representing 1 770 492 children and adolescents (12.4%) perceived poor access to MBH care, and 3517 caregivers representing 1 643 260 of 13 175 295 children and adolescents (12.5%) perceived inadequate MBH insurance coverage. In multivariable models, there were higher odds of perceived poor access to MBH care among caregivers of Black (adjusted odds ratio [aOR], 1.35; 95% CI, 1.04-1.75) and Asian (aOR, 1.69; 95% CI, 1.01-2.84) compared with White children and adolescents. As exposures to adverse childhood experiences (ACEs) increased, the odds of perceived poor access to MBH care increased (aORs ranged from 1.68; 95%, CI 1.32-2.13 for 1 ACE to 4.28; 95% CI, 3.17-5.77 for ≥4 ACEs compared with no ACEs). Compared with living in states with the least comprehensive MBH insurance legislation (SMHILD score, 0-2), living in states with the most comprehensive legislation (SMHILD score, 5-7) was associated with lower odds of perceived poor access to MBH care (aOR, 0.79; 95% CI, 0.63-0.99), while living in states with moderately comprehensive legislation (score, 4) was associated with higher odds of perceived inadequate MBH insurance coverage (aOR, 1.23; 95% CI, 1.01-1.49). Conclusions and Relevance: In this study, living in states with the most comprehensive MBH insurance legislation was associated with lower odds of perceived poor access to MBH care among caregivers for children and adolescents with MBH conditions. This finding suggests that advocacy for comprehensive mental health parity legislation may promote improved child and adolescent access to MBH services.

The Mayo Leadership Impact Index Adapted for Matrix Leadership Structures: Initial Validity Evidence.

Importance: Physician burnout has reached crisis levels. Supportive leadership is one of the strongest drivers of physician well-being, and monitoring supervisor support is key to developing well-being focused leadership skills. Existing measures of leader support were designed within "direct report" supervision structures limiting their applicability to matrixed leadership reporting structures where direct reports are not the predominant norm. Antecedently, no measure of leadership support is validated specifically for implementation in matrixed leadership structures. Objective: Adapt and validate the Mayo Leadership Impact Index (MLII) for settings with matrixed leadership structures. Design: A psychometric validation study utilizing classical test theory and item response theory. Setting: A tripartite hospital system in the southwestern US. Participants: Physician-respondents to a 2023 cross-sectional survey. Main Outcomes and Measures: After pilot testing, the adapted MLII was examined using a unidimensional graded response model and confirmatory factor analyses. Convergent validity was investigated via correlations with professional fulfillment, perceived autonomy support, self-valuation, and peer connectedness/respect. Divergent validity was tested via correlations with burnout. Results: Of the three candidate revisions of the MLII, the 9-item adaptation was selected for its superior validity/reliability indices. Standardized Cronbach's and Ordinal alpha coefficients were 0.958 and 0.973, respectively. CFA loadings exceeded 0.70 (p < 0.001), and coefficients of variation (R2) exceeded 0.60 for all items. GRM slope parameters indicated "high" to "very high" item discrimination. Items 2, 5, and 8 were the most informative. Positive correlations of the adapted MLII with professional fulfillment, perceived autonomy support, and peer connectedness/respect were observed, supporting convergent validity. Negative correlation with overall burnout supports divergent validity. Conclusions and Relevance: The findings provide evidence of the adapted MLII's validity, reliability, and appropriateness for implementation within matrixed leadership settings. Prior to this study, no leadership support measure had been validated for use among the growing number of healthcare systems with matrixed leadership reporting structures.

Question: : What is the validity and reliability of a well-being centered leadership measure adapted for use in healthcare systems with matrixed, multiform reporting structures? Findings: : Classical test theory and item response theory analyses of cross-sectional survey data from 158 physician-respondents supported the adapted measure's construct validity. All reliability coefficients were strong. Leadership ratings positively correlated with professional fulfillment, autonomy support, self-valuation, and peer connectedness/respect, and negatively correlated with burnout. Meaning: : Findings support the adapted measure's validity and reliability. This study is the first to demonstrate a valid empirical measure of well-being centered leadership behaviors in settings with multiform, matrixed leadership structures.

Factors affecting perceived caregiver burden: caregivers of trauma patients discharged from the intensive care unit.

Background: Caregivers to intensive care unit survivors are vulnerable to caregiver burden, which has been demonstrated to have consequences to patients' and caregivers' mental and physical health. Potentially modifiable factors should be explored so that interventions may be developed. Methods: Ninety-one anticipated caregivers were prospectively assessed both at a southwestern trauma intensive care unit during their patient's admission and at home via remote interview 3 months after intensive care unit admission. Caregiver depression, posttraumatic stress symptoms, experiences, and perceived burden were assessed. Results: At follow up, there was a significant negative correlation between caregiver burden and understanding of their patient's condition (P < 0.001) and intensive care unit events (P = 0.008). Caregivers with lower understanding of their patient's injury/illness had significantly greater depressive symptoms (P = 0.04). Conclusions: Education and knowledge of intensive care unit events regarding their patient may influence perceived burden among caregivers. Interventions to orient caregivers to intensive care unit events are suggested to reduce caregiver and healthcare system burden.

Associations of mood symptoms and body mass among individuals with COVID-19.

Introduction: The COVID-19 pandemic has had a significant impact on mental health, and individuals with certain preexisting morbidities-such as obesity-may have disproportionately experienced pandemic-related stress. We aimed to examine whether being obese or overweight was associated with worse mood and trauma among those infected with COVID-19. Methods: Data were collected as part of a larger longitudinal survey study (n = 591) examining the psychological impact of COVID-19. Complete baseline data for those who reported testing positive from April 2020 through June 2021 were examined. Results and conclusions: Body mass index was correlated with depression (r = 0.13, P < .01) and generalized anxiety disorder (r = 0.10, P = .02), but not with posttraumatic stress disorder (r = 0.06, P = .16). Multivariable analyses revealed that body mass index was no longer a unique predictor, except for those with a body mass index >40 kg/m2, suggesting that other sociodemographic factors, not obesity, were driving mood symptoms for those infected with COVID-19.

Amplifying Youth Voice to Promote Black Youth Mental Health Through Policy in Georgia.

There is an unmet need for mental health policies that are culturally competent, engaging, and equitable for Black youth. This paper describes a youth-adult partnership advisory council approach to identify, assess, and measure the effectiveness of innovative policy solutions to promote Black youth mental health in Georgia.

Exposure to structural racism-related state laws is associated with worse cardiovascular health among US adults, BRFSS 2011 and 2013.

The objective of this study was to determine whether exposure to structural racism-related state laws is associated with cardiovascular health among a racially and ethnically diverse sample of US adults. Data were from the Database of Structural Racism-Related State Laws and the Behavioral Risk Factor Surveillance System (BRFSS). The sample included 958,019 BRFSS 2011 and 2013 respondents aged 18+ from all 50 US states. The exposure was a summary index of 22 state laws related to the criminal legal system, economics and labor, education, healthcare, housing, immigration, and political participation. The outcome was the American Heart Association's Life's Simple 7 (LS7), a summary index of seven cardiovascular health indicators. Linear regression models included fixed effects for year and state to control for time trends and unmeasured time-invariant state-level contextual factors. In the full sample, a one standard deviation increase in the structural racism state legal index was associated with a 0.06-unit decrease in the LS7 (b=-0.06; 95% CI:-0.09, 0.02; p=0.001), controlling for individual- and state-level covariates. Contrary to expectations, stratified models revealed no statistically significant differences by race and ethnicity in the association between the structural racism state legal index and the LS7.

The Fatigue and Altered Cognition Scale among SARS-CoV-2 Survivors: Psychometric Properties and Item Correlations with Depression and Anxiety Symptoms.

Background/Objectives: This study examined the psychometric properties of the Fatigue and Altered Cognition Scale (FACs) among adult COVID-19 survivors and its unique ability to assess symptomology not accounted for by measures of depression and anxiety. Methods: COVID-19 survivors completed an online survey that included the FACs, a measure of brain fog and central fatigue with 20 items rated on a digital-analog scale. Useable data from 559 participants were analyzed to test the two-factor structure of the FACs, test for measurement invariance by sex and device was used to complete the survey (hand-held, computer), and item correlations with symptoms of depression and anxiety were examined. Results: The two-factor structure of the FACs replicated, supporting the separate assessments of brain fog and fatigue, χ2(164) = 1028.363, p < 0.001, CFI = 0.934, TLI = 0.923, RMSEA = 0.097, SRMR = 0.053. The FACs exhibited invariance at the scalar level, indicating item and factor integrity regardless of sex and device type. Using a correlation > 0.70 as a criterion (i.e., indicating more than 50% shared variance between two items), items on the FACs (assessing fatigue and lack of energy) were highly correlated with feeling tired or having little energy on the depression measure. No other items correlated with any anxiety symptom larger than 0.70. Conclusions: The FACs appears to be a psychometrically sound and efficient measure for use with COVID-19 survivors, assessing symptoms of brain fog and central fatigue that are not attributable to symptoms assessed by established measures of depression and anxiety.

Changes in State Laws Related to Coverage for Substance Use Disorder Treatment Across Insurance Sectors, 2006-2020.

OBJECTIVE: The authors assessed changes in state insurance laws related to coverage for substance use disorder treatment across public and private insurance sectors from 2006 through 2020 in all 50 U.S. states. METHODS: Structured policy surveillance methods, including a coding protocol with duplicate coding and quality controls, were used to track changes in state laws during the 2006-2020 period. The legal database Westlaw was used to identify relevant statutes within each state's commercial insurance (large group, small group, and individual), state employee health benefits, and Medicaid codes. The legal coding instrument included six questions across four themes: parity, mandated coverage, definition of substance use disorders, and enforcement and compliance. Scores were calculated to reflect the comprehensiveness of states' laws and to interpret changes in scores over time. RESULTS: Comprehensiveness scores across all sectors (on a 0-9 scale) increased, on average, from 1.47 in 2006 to 2.84 in 2020. In 2006, mean scores ranged from 0.47 (state employee sector) to 2.80 (large-group sector) and in 2020, from 1.22 (state employee) to 4.26 (large group). CONCLUSIONS: Comprehensiveness of state insurance laws in relation to substance use disorder treatment improved across all insurance sectors in 2006-2020. The State Substance Use Disorder Insurance Laws Database created in this study will aid future legal epidemiology studies in assessing the cumulative effects of parity-related insurance laws on outcomes of substance use disorder treatments.

Legislating Inequity: Structural Racism In Groups Of State Laws And Associations With Premature Mortality Rates.

Most evaluations of health equity policy have focused on the effects of individual laws. However, multiple laws' combined effects better reflect the crosscutting nature of structurally racist legal regimes. To measure the combined effects of multiple laws, we used latent class analysis, a method for detecting unobserved "subgroups" in a population, to identify clusters of US states based on thirteen structural racism-related legal domains in 2013. We identified three classes of states: one with predominantly harmful laws ([Formula: see text]), another with predominantly protective laws ([Formula: see text]), and a third with a mix of both ([Formula: see text]). Premature mortality rates overall-defined as deaths before age seventy-five per 100,000 population-were highest in states with predominantly harmful laws, which included eighteen states with past Jim Crow laws. This study offers a new method for measuring structural racism on the basis of how groups of laws are associated with premature mortality rates.

Baseline health-related self-efficacy for individuals following stroke, traumatic brain injury, and spinal cord injury prior to enrollment in a weight-loss intervention.

PURPOSE: To examine health-related self-efficacy for individuals following acquired brain or spinal cord injury prior to enrollment in a weight-loss intervention and associations with demographics, injury characteristics, and additional physiologic variables. MATERIALS AND METHODS: Cross-sectional analysis of baseline data for community-dwelling adults following stroke (CVA), traumatic brain injury (TBI), or spinal cord injury (SCI) across three disability-adapted weight-loss interventions. RESULTS: Overall results suggest a significant difference between injury type and self-efficacy as measured by the Self Rated Abilities for Health Practices (SRAHP) scale. On average, individuals with SCI had the lowest overall perceived self-efficacy of the three groups (11.2-unit difference; (CI: -17.4, -5.0), followed by those with TBI (9.5-unit difference; (CI: -16.7, -2.4). There were also differences between groups in age, number of household members, time since injury, sex, race, marital status, physiological measures, and employment status. CONCLUSIONS: Results suggest that individuals with different disabilities following neurological injuries have different baseline perceptions in their ability to eat a healthy diet and exercise regularly. Health interventions should be tailored for these groups based on disability-specific barriers and should include components to enhance health-related self-efficacy to address weight management among these populations.IMPLICATIONS FOR REHABILITATIONEvidence suggests that health-related self-efficacy may differ following different injury types and level of disability may impact one's ability to maintain health-related behaviorsResults suggest that individuals with a spinal cord injury may have different baseline perceptions of self-efficacy related to their ability to eat a healthy diet and exercise regularly compared to those with a traumatic brain injury or stroke.Health interventions should be tailored to encompass disability-specific barriers which may impact an individual's health-related self-efficacy.

Associations of Mental Health and Experience of the COVID-19 Pandemic with United States Adults' Intentions to Be Vaccinated.

COVID-19 vaccine uptake in the United States has proved challenging. A deeper characterization extending beyond demographics and political ideologies of those hesitating or resisting is needed to guide ongoing conversations. This study examined associations between US adults' vaccination intentions and mental health history, experience of the COVID-19 pandemic, and mental health outcomes. An online population-based cross-sectional survey was administered nationwide during January 4-7, 2021. Participants were questioned about past and current mental health, and completed the Patient Health Questionnaire 8 (PHQ-8), Generalized Anxiety Disorder 7-item (GAD-7), and Posttraumatic Diagnostic Scale (PDS)-5 (to capture symptoms of depression, anxiety, and traumatic stress, respectively). Experience of the pandemic included cumulative county-level COVID case and death rates, self-reported COVID-19 testing/exposure/diagnosis, and self-reported impact on routines, resources, and relationships. Of 936 respondents, 66% intended to be vaccinated, 14.7% responded "maybe," and 19.6% "no." Past diagnosis of obsessive compulsive disorder, less impact on routines or social supports, not having been screened or tested for COVID-19, not knowing someone who tested positive, and not self-isolating were associated with less intention to vaccinate. After controlling for demographic and pandemic experience factors, symptoms of traumatic stress, but not other mental health outcomes, were associated with less intention to vaccinate. The apparent contradiction between less negative impact of the pandemic and symptoms of traumatic stress being associated with less intention to be vaccinated indicates the complex nature of barriers to vaccine uptake. Results from this study contribute to the evidence base needed to improve ongoing and future communications about, and strategies to increase uptake of, vaccination.

Results of a 12-Month Randomized Controlled Trial Testing the Efficacy of the Diabetes Prevention Program Group Lifestyle Balance (DPP-GLB) for People Post Stroke (GLB-CVA).

BACKGROUND: Experience of stroke is associated with an increased risk for diabetes and metabolic syndrome, yet few interventions exist that have been tailored to the population's unique needs. PURPOSE: To examine adherence and efficacy of the Diabetes Prevention Program Group Lifestyle Balance program (DPP-GLB) modified for individuals post stroke (GLB-CVA) using a randomized controlled trial. METHODS: Adults (18-85 years of age), >12 months post stroke, and body mass index ≥25 kg/m2 were included in this study. Sixty-five individuals were assigned to either the GLB-CVA intervention or a 6-month wait-list control. Participants completed the 12-month GLB-CVA intervention, with attendance and assessment of weight, anthropometric, biomarker, functional, and patient reported outcome data collected at baseline, 3, 6, and 12 months. RESULTS: High attendance (90%) and dietary and activity tracking (71%) suggest high adherence to the 12-month GLB-CVA. Six-month randomized controlled trial data indicate significant weight loss (p = .005) in the GLB-CVA group (7.4 ± 13.6 lbs, 3.65%) compared with the wait-list control (0.1 ± 10.1 lbs, 0%), and improvements in arm circumference (p = .04), high-density lipoprotein (HDL) cholesterol (p = .028), 8-year diabetes risk (p = .011), and pain interference (p < .001). Combined 12-month data showed participants lost 10.1 ± 16.8 lbs (4.88%) and improved waist circumference (p = .001), HbA1c (3.6%), diastolic blood pressure (p < .001), pain (p = .001), social participation (p = .025), and eating practices (p = .01) and habits (p < .001). CONCLUSIONS: Engagement in the GLB-CVA can result in weight loss and improved health for individuals who are overweight or obese following stroke. Future efforts should examine effectiveness in real-world settings and focus on knowledge translation efforts.

Experience of stroke is associated with an added risk for diabetes and metabolic syndrome, yet few interventions exist that have been tailored to the population's unique needs. Our team delivered a health promotion program called the Diabetes Prevention Program Group Lifestyle Balance (DPP-GLB) modified for individuals post stroke (GLB-CVA) living in the community. We enrolled 65 adults (18­85 years of age), who were at least 12 months post stroke, and had body mass index of at least 25 kg/m2. Participants were randomized to either the GLB-CVA intervention or a 6-month wait-list control. Outcome data were collected at baseline, 3, 6, and 12 months. Results showed high participant attendance (90%) and tracking completion (71%). Participants in the GLB-CVA intervention group lost significantly more weight (3.65%) and had greater improvements in arm circumference, HDL cholesterol, 8-year diabetes risk, and pain than participants in the wait-list control. Combined 12-month data showed participants lost 4.88% of their body weight and improved waist circumference, blood sugar (HbA1c), diastolic blood pressure, pain, social participation, eating practices, and habits. Due to these results, we concluded that engagement in the GLB-CVA can result in weight loss and improved health for individuals who are overweight or obese following stroke.

Opportunities and Challenges to Advance Health Equity Using Digital Health Tools in Underserved Communities in Southeast US: A Mixed Methods Study.

INTRODUCTION: Over the last 30 years, the adoption of health information technology and digital health tools (DHTs) into the US health system has been instrumental to improving access to care, especially for people living in rural, underserved, and underrepresented communities. Despite widespread adoption of DHTs by primary care clinicians, documented challenges have contributed to inequitable use and benefit. The COVID-19 pandemic necessitated rapid adoption of DHTs, accelerated by state and federal policy changes, in order to meet patient needs and ensure access to care. METHODS: The Digital Health Tools Study employed a mixed methods approach to assess adoption and use of DHTs by primary care clinicians in southeastern states and identify individual- and practice-level barriers and facilitators to DHT implementation. A survey was conducted using a multi-modal recruitment strategy: newsletters, meeting/conference presentations, social media, and emails/calls. Focus groups were conducted to assess priorities, barriers, and facilitators and were recorded/transcribed verbatim. Descriptive statistics were calculated for survey results, produced for the whole sample, and stratified by state. Thematic analysis was conducted of focus group transcripts. RESULTS: There were 1215 survey respondents. About 55 participants who had missing demographic information were excluded from the analysis. About 99% of clinicians used DHTs in the last 5 years, modalities included: telehealth (66%), electronic health records (EHRs; 66%), patient portals (49%), health information exchange (HIE; 41%), prescription drug monitoring programs (39%), remote/home monitoring (27%), and wearable devices (22%). Time (53%) and cost (51%) were identified as barriers. About 61% and 75% of clinicians reported being "satisfied" to "very satisfied" with telemedicine and EHRs, respectively. Seven focus groups with 25 clinicians were conducted and indicated COVID-19 and the use of supplemental tools/apps to connect patients to resources as major motivators for adopting DHTs. Challenges included incomplete and difficult-to-utilize HIE interfaces for providers and internet/broadband access and poor connectivity for patients. CONCLUSIONS: This study describes the impact adopting DHTs by primary care clinicians has on expanded access to healthcare and reducing health disparities in regions with longstanding health and social inequities. The findings identify opportunities to leverage DHTs to advance health equity and highlight opportunities for policy improvement.

Population-Level Disparities in Exposure to COVID-19 Mitigation Policies, April 2020-April 2021.

CONTEXT: Studies have found that COVID-19 stay-at-home orders (SHOs) and face mask policies (FMPs) were associated with reduced COVID-19 transmission and deaths. But it is unknown whether exposure to these policies varied by sociodemographic characteristics across the US population. OBJECTIVE: The goal of this study was to quantify and characterize the sociodemographic characteristics and geographic distribution of populations exposed to evidence-based COVID-19 mitigation policies. DESIGN: We obtained statewide SHOs and FMPs for all US counties from April 10, 2020, to April 10, 2021, calculated median policy lengths, and categorized counties into 4 groups based on length of policy exposure: low SHO-low FMP, high SHO-low FMP, low SHO-high FMP, and high SHO-high FMP. We described exposure groups by COVID-19 cumulative case/death and vaccination rates and county sociodemographic characteristics. SETTING: In total, 3142 counties from all 50 states and Washington, District of Columbia, were included in the analysis. MAIN OUTCOME MEASURES: County-level sociodemographic factors and county cumulative rates for COVID-19 cases, deaths, and vaccinations. RESULTS: The largest percentage of the US population lived in counties with high exposure to SHOs and FMPs. However, populations living in high SHO-high FMP counties had the lowest percent non-Hispanic Black (NHB) and highest percent non-Hispanic White (NHW) populations. Populations living in high SHO-low FMP counties had the highest percent NHB and Hispanic populations and the lowest percent NHW population. CONCLUSION: This study identified county-level racial, ethnic, and sociodemographic disparities in exposure to evidence-based statewide COVID-19 mitigation policies. POLICY IMPLICATIONS: Exposure to evidence-based policies is an important consideration for studies evaluating the root causes of health inequities.

Efficacy of a group-based education intervention for people with traumatic brain injury: supplementary results from a 12-month randomized controlled trial.

OBJECTIVE: Our team developed an attention control condition, called the Brain Health Group (BHG), for a randomized controlled trial (RCT; NCT03594734). The focus of the BHG was on brain health education and self-management. The objectives of this supplementary analysis are to (1) Describe compliance with the 12-month BHG; (2) Examine efficacy for improving general self-efficacy (GSE, primary) and secondary outcomes; and (3) Describe findings from the program evaluation. DESIGN: English-speaking adults (18-64 years old) who were ≥6 months post a moderate-to-severe TBI were randomized to the BHG (n = 29) or active intervention (n = 28). Data were collected at baseline and 12 months, including GSE, depression, satisfaction with life (SWL), self-rated abilities for health practices (SRAHP), and alcohol use. Program evaluation was conducted at 12 months. RESULTS: Attendance was 89%, and goal tracking was 63%. Within group analysis showed a significant increase in SRAHP scores (p = 0.018). Non-significant increases in GSE and SWL were observed, and participants perceived the BHG as helpful. No significant changes in depression or alcohol use were reported. CONCLUSION: People with TBI can engage in and benefit from the BHG and perceive the program as helpful for improving knowledge about brain health and awareness of self-management skills.

Longitudinal validation of the Fear of COVID-19 Scale in a nationwide United States sample: An item response theory model across three inflection points of the pandemic.

The COVID-19 pandemic's global emergence/spread caused widespread fear. Measurement/tracking of COVID-19 fear could facilitate remediation. Despite the Fear of COVID-19 Scale (FCV-19S)'s validation in multiple languages/countries, nationwide United States (U.S.) studies are scarce. Cross-sectional classical test theory-based validation studies predominate. Our longitudinal study sampled respondents to a 3-wave, nationwide, online survey. We calibrated the FCV-19S using a unidimensional graded response model. Item/scale monotonicity, discrimination, informativeness, goodness-of-fit, criterion validity, internal consistency, and test-retest reliability were assessed. Items 7, 6, and 3 consistently displayed very high discrimination. Other items had moderate-to-high discrimination. Items 3, 6, and 7 were most (items 1 and 5 the least) informative. [Correction added on 18 May 2023, after first online publication: In the preceding sentence, the term 'items one-fifth least' has been changed to 'items 1 and 5 the least'.] Item scalability was 0.62-0.69; full-scale scalability 0.65-0.67. Ordinal reliability coefficient was 0.94; test-retest intraclass correlation coefficient 0.84. Positive correlations with posttraumatic stress/anxiety/depression, and negative correlations with emotional stability/resilience supported convergent/divergent validity. The FCV-19S validly/reliably captures temporal variation in COVID-19 fear across the U.S.

BDNF and stress/mood-related interactions on emotional disorder symptoms, executive functioning, and deliberate self-harm.

Some prior research has suggested that the brain-derived neurotrophic factor (BDNF) gene may amplify responses related to life stress (e.g., depression and anxiety) or associated with negative moods (e.g., self-harm and diminished cognitive functioning). The purpose of this study was to investigate whether stress/mood-related associations with depressive and anxiety symptoms, deliberate self-harm, and executive functioning (EF) are moderated by genotypic variations in BDNF rs10835210 (a relatively understudied BDNF polymorphism) in a nonclinical sample. As part of a larger study, European American social drinkers (N = 132; 43.9% female; M age = 26.0, SD = 7.6) were genotyped for BDNF rs10835210 and were administered self-report measures of subjective life stress, depressive and anxiety symptoms, and history of non-suicidal self-injury (NSSI) and behavioral measures of EF and deliberate self-harm. Results indicated that BDNF significantly moderated the life stress associations with depressive symptoms and NSSI, the anxious mood association with EF, and the depressed mood association with deliberate self-harm behavior. Each of these BDNF × stress/mood interactions were characterized by stress/mood associations that were stronger in individuals with the AA genotype (homozygous for the minor allele) than in individuals possessing a genotype that included the major allele (AC or CC). The main limitations of the present study were use of a cross-sectional design, modest sample size, and investigating only one BDNF polymorphism. Despite these limitations and though preliminary, current findings suggest that variations in BDNF may confer vulnerability to stress or mood, which may result in more adverse emotional, cognitive, or behavioral outcomes.

Association Between Racial Segregation and COVID-19 Vaccination Rates.

OBJECTIVE: To examine the association between county-level Black-White residential segregation and COVID-19 vaccination rates. DESIGN: Observational cross-sectional study using multivariable generalized linear models with state fixed effects to estimate the average marginal effects of segregation on vaccination rates. SETTING: National analysis of county-level vaccination rates. MAIN OUTCOME MEASURE: County-level vaccination rates across the United States. RESULTS: We found an overall positive association between county-level segregation and the proportion population fully vaccinated, with a 6.8, 11.3, and 12.8 percentage point increase in the proportion fully vaccinated by May 3, September 27, and December 6, 2021, respectively. Effects were muted after adjustment for sociodemographic variables. Furthermore, in analyses including an interaction term between the county proportion of Black residents and the county dissimilarity index, the association between segregation and vaccination is positive in counties with a lower proportion of Black residents (ie, 5%) but negative in counties with the highest proportions of Black residents (ie, 70%). CONCLUSIONS: Findings highlight the importance of methodological decisions when modeling disparities in COVID-19 vaccinations. Researchers should consider mediating and moderating factors and examine interaction effects and stratified analyses taking racial group distributions into account. Results can inform policies around the prioritization of vaccine distribution and outreach.