Prevalence and Factors Associated with Long COVID Symptoms among U.S. Adults, 2022.

Long COVID and its symptoms have not been examined in different subpopulations of U.S. adults. Using the 2022 BRFSS (n = 445,132), we assessed long COVID and each symptom by sociodemographic characteristics and health-related variables. Multivariable logistic regression was conducted to examine factors associated with long COVID and the individual symptoms. Prevalence differences were conducted to examine differences in long COVID by vaccination status. Overall, more than one in five adults who ever had COVID-19 reported symptoms consistent with long COVID (21.8%). The most common symptom was tiredness or fatigue (26.2%), followed by difficulty breathing or shortness of breath (18.9%), and loss of taste or smell (17.0%). Long COVID was more common among adults under 65 years, women, American Indian or Alaska Native or other/multi race group, smokers, and people with a disability, depression, overweight or obesity compared to their respective counterparts. The prevalence of long COVID was higher among unvaccinated adults (25.6%) than vaccinated adults (21.6%) overall, and for 20 of 32 subgroups assessed. These findings underscore the benefits of vaccination, the importance of early treatment, and the need to better inform health care resource allocation and support services for those experiencing long COVID.

Climate stress and anxiety, environmental context, and civic engagement: A nationally representative study.

There is increasing recognition that people are experiencing stress and anxiety around climate change, and that this climate stress/anxiety may be associated with more pro-environmental behavior. However, less is known about whether people's own environmental exposures affect climate stress/anxiety or the relationship between climate stress/anxiety and civic engagement. Using three waves of survey data (2020-2022) from the nationally representative Tufts Equity in Health, Wealth, and Civic Engagement Study of US adults (n = 1071), we assessed relationships among environmental exposures (county-level air pollution, greenness, number of toxic release inventory sites, and heatwaves), self-reported climate stress/anxiety, and civic engagement measures (canvasing behavior, collaborating to solve community problems, personal efficacy to solve community problems, group efficacy to solve community problems, voting behavior). Most participants reported experiencing climate stress/anxiety (61%). In general, the environmental exposures we assessed were not significantly associated with climate stress/anxiety or civic engagement metrics, but climate stress/anxiety was positively associated with most of the civic engagement outcomes (canvassing, personal efficacy, group efficacy, voter preference). Our results support the growing literature that climate stress/anxiety may spur constructive civic action, though do not suggest a consistent relationship between adverse environmental exposures and either climate stress/anxiety or civic engagement. Future research and action addressing the climate crisis should promote climate justice by ensuring mental health support for those who experience climate stress anxiety and by promoting pro-environmental civic engagement efforts.

Associations between metals and metabolomic profiles related to diabetes among adults in a rural region.

INTRODUCTION: Exposure to metals is associated with increased risk of type 2 diabetes (T2D). Potential mechanisms for metals-T2D associations involve biological processes including oxidative stress and disruption of insulin-regulated glucose uptake. In this study, we assessed whether associations between metal exposure and metabolite profiles relate to biological pathways linked to T2D. MATERIALS AND METHODS: We used data from 29 adults rural Colorado residents enrolled in the San Luis Valley Diabetes Study. Urinary concentrations of arsenic, cadmium, cobalt, lead, manganese, and tungsten were measured. Metabolic effects were evaluated using untargeted metabolic profiling, which included 61,851 metabolite signals detected in serum. We evaluated cross-sectional associations between metals and metabolites present in at least 50% of samples. Primary analyses adjusted urinary heavy metal concentrations for creatinine. Metabolite outcomes associated with each metal exposure were evaluated using pathway enrichment to investigate potential mechanisms underlying the relationship between metals and T2D. RESULTS: Participants had a mean age of 58.5 years (standard deviation = 9.2), 48.3% were female, 48.3% identified as Hispanic/Latino, 13.8% were current smokers, and 65.5% had T2D. Of the detected metabolites, 455 were associated with at least one metal, including 42 associated with arsenic, 22 with cadmium, 10 with cobalt, 313 with lead, 66 with manganese, and two with tungsten. The metabolic features were linked to 24 pathways including linoleate metabolism, butanoate metabolism, and arginine and proline metabolism. Several of these pathways have been previously associated with T2D, and our results were similar when including only participants with T2D. CONCLUSIONS: Our results support the hypothesis that metals exposure may be associated with biological processes related to T2D, including amino acid, co-enzyme, and sugar and fatty acid metabolism. Insight into biological pathways could influence interventions to prevent adverse health outcomes due to metal exposure.

Attitudes on Equal Health Care Access versus Efficient Clinical Decisions across a Not-for-Profit Health Care System.

BACKGROUND: Professional roles within a hospital system may influence attitudes behind clinical decisions. OBJECTIVE: To determine participants' preferences about clinical decisions that either value equal health care access or efficiency. DESIGN: Deidentified survey asking participants to choose between offering a low-cost screening test to a whole population ("equal access") or a more sensitive, expensive test that could be given to only half of the population but resulting in 10% more avoided deaths ("efficient"). Data collection took place from August 18, 2021, to January 24, 2022. Study 1644 was determined to be exempt by Tufts Health Sciences Institutional Review Board (IRB). SETTING: Tufts Medicine Healthcare System. PARTICIPANTS: Approximately 15,000 hospital employees received an e-mail from the Tufts Medicine Senior Vice President of Academic Integration. MEASUREMENTS: Analysis of survey responses with chi-square and 1-sample t tests to determine the proportion who chose each option. Logistic regression models fit to examine relationships between professional role and test choice. RESULTS: A total of 1,346 participants completed the survey (∼9.0% response rate). Overall, approximately equal percentages of respondents chose the "equal access" (48%) and "efficient" option (52%). However, gender, professional role (categorical), and clinical role (dichotomous) were significantly associated with test choice. For example, among those in nonclinical roles, women were more likely than men to choose equal health care access. In multivariable analyses, having clinical roles was significantly associated with 1.73 times the likelihood of choosing equal access (95% confidence interval = 1.33-2.25). LIMITATIONS: Generalizability concerns and survey question wording limit the study results. CONCLUSION: Clinicians were more likely than nonclinicians to choose the equal health care access option, and health care administrators were more likely to choose efficiency. These differing attitudes can affect patient care and health care quality. HIGHLIGHTS: Divergent preferences of valuing equal health care access and efficiency may be in conflict during clinical decision making.In this cross-sectional study that included 1,346 participants, approximately equal percentages of respondents chose the "equal access" (48%) and "efficient" option (52%), a nonsignificant difference. However, gender, professional role (categorical), and clinical role (dichotomous) were significantly associated with test choiceSince clinicians were more likely than nonclinicians to choose the equal health care access option and health care administrators were more likely to choose efficiency, these differing attitudes can affect patient care and health care quality.

Methylomic, Proteomic, and Metabolomic Correlates of Traffic-Related Air Pollution in the Context of Cardiorespiratory Health: A Systematic Review, Pathway Analysis, and Network Analysis.

A growing body of literature has attempted to characterize how traffic-related air pollution (TRAP) affects molecular and subclinical biological processes in ways that could lead to cardiorespiratory disease. To provide a streamlined synthesis of what is known about the multiple mechanisms through which TRAP could lead to cardiorespiratory pathology, we conducted a systematic review of the epidemiological literature relating TRAP exposure to methylomic, proteomic, and metabolomic biomarkers in adult populations. Using the 139 papers that met our inclusion criteria, we identified the omic biomarkers significantly associated with short- or long-term TRAP and used these biomarkers to conduct pathway and network analyses. We considered the evidence for TRAP-related associations with biological pathways involving lipid metabolism, cellular energy production, amino acid metabolism, inflammation and immunity, coagulation, endothelial function, and oxidative stress. Our analysis suggests that an integrated multi-omics approach may provide critical new insights into the ways TRAP could lead to adverse clinical outcomes. We advocate for efforts to build a more unified approach for characterizing the dynamic and complex biological processes linking TRAP exposure and subclinical and clinical disease and highlight contemporary challenges and opportunities associated with such efforts.

Methylomic, proteomic, and metabolomic correlates of traffic-related air pollution: A systematic review, pathway analysis, and network analysis relating traffic-related air pollution to subclinical and clinical cardiorespiratory outcomes.

A growing body of literature has attempted to characterize how traffic-related air pollution (TRAP) affects molecular and subclinical biological processes in ways that could lead to cardiorespiratory disease. To provide a streamlined synthesis of what is known about the multiple mechanisms through which TRAP could lead cardiorespiratory pathology, we conducted a systematic review of the epidemiological literature relating TRAP exposure to methylomic, proteomic, and metabolomic biomarkers in adult populations. Using the 139 papers that met our inclusion criteria, we identified the omic biomarkers significantly associated with short- or long-term TRAP and used these biomarkers to conduct pathway and network analyses. We considered the evidence for TRAP-related associations with biological pathways involving lipid metabolism, cellular energy production, amino acid metabolism, inflammation and immunity, coagulation, endothelial function, and oxidative stress. Our analysis suggests that an integrated multi-omics approach may provide critical new insights into the ways TRAP could lead to adverse clinical outcomes. We advocate for efforts to build a more unified approach for characterizing the dynamic and complex biological processes linking TRAP exposure and subclinical and clinical disease, and highlight contemporary challenges and opportunities associated with such efforts.

Disparities in child and adolescent COVID-19 vaccination coverage and parental intent toward vaccinations for their children and adolescents.

INTRODUCTION: Despite recommendations for COVID-19 primary series completion and booster doses for children and adolescents, coverage has been less than optimal, particularly in some subpopulations. This study explored disparities in childhood/adolescent COVID-19 vaccination, parental intent to vaccinate their children and adolescents, and reasons for non-vaccination in the US. METHODS: Using the U.S. Census Bureau's Household Pulse Survey (HPS), we analyzed households with children aged <18 years using data collected from September 14 to November 14, 2022 (n = 44,929). Child and adolescent COVID-19 vaccination coverage (≥1 dose, completed primary series, and booster vaccination) and parental intentions toward vaccination were assessed by sociodemographic characteristics. Factors associated with child and adolescent vaccination coverage were examined using multivariable regression models. Reasons for non-vaccination were assessed overall, by the child's age group and respondent's age group. RESULTS: Overall, approximately half (50.1%) of children aged < 18 years were vaccinated against COVID-19 (≥1 dose). Completed primary series vaccination was 44.2% among all children aged <18 years. By age group, completed primary series was 13.2% among children <5 years, 43.9% among children 5-11 years, and 63.3% among adolescents 12-17 years. Booster vaccination among those who completed the primary series was 39.1% among children 5-11 years and 55.3% among adolescents 12-17 years. Vaccination coverage differed by race/ethnicity, educational attainment, household income, region, parental COVID-19 vaccination status, prior COVID-19 diagnosis, child's age group, and parental age group. Parental reluctance was highest for children aged <5 years (46.8%). Main reasons for non-vaccination among reluctant parents were concerns about side effects (53.3%), lack of trust in COVID-19 vaccines (48.7%), and the belief that children do not need a COVID-19 vaccine (38.8%). CONCLUSION: Disparities in COVID-19 vaccination coverage among children and adolescents continue to exist. Further efforts are needed to increase COVID-19 primary series and booster vaccination and parental confidence in vaccines.

Using survey data collected from September 14 to November 14, 2022, COVID-19 vaccination coverage was low among children and adolescents. Overall, approximately half (50.1%) of the children aged <18 years were vaccinated against COVID-19 (≥1 dose). Completed primary series vaccination was 44.2% among all children aged < 18 years. By age group, completed primary series was 13.2% among children <5 years, 43.9% among children 5­11 years, and 63.3% among adolescents 12­17 years. Booster vaccination, among those who completed the primary series, was 39.1% among children 5­11 years and 55.3% among adolescents 12­17 years.Vaccination coverage differed by race/ethnicity, educational attainment, household income, region, parental COVID-19 vaccination status, prior COVID-19 diagnosis, child's age group, and parental age group.Parental reluctance was the highest for children aged <5 years (46.8%), followed by children 5­11 years (35.8%) and adolescents 12­17 years (23.5%).Main reasons for non-vaccination among reluctant parents were concerns about side effects (53.3%), lack of trust in COVID-19 vaccines (48.7%), the belief that children do not need a COVID-19 vaccine (38.8%), lack of trust in the government (35.6%), and that children in the household were not members of a high-risk group (32.8%).Disparities in COVID-19 vaccination coverage among children and adolescents continue to exist. Further efforts are needed to increase COVID-19 primary series and booster vaccination and parental confidence in vaccines.

Household conditions, COVID-19, and equity: Insight from two nationally representative surveys.

Background: With people across the United States spending increased time at home since the emergence of COVID-19, housing characteristics may have an even greater impact on health. Therefore, we assessed associations between household conditions and COVID-19 experiences. Methods: We used data from two nationally representative surveys: the Tufts Equity Study (TES; n = 1449 in 2021; n = 1831 in 2022) and the Household Pulse Survey (HPS; n = 147,380 in 2021; n = 62,826 in 2022). In the TES, housing conditions were characterized by heating/cooling methods; smoking inside the home; visible water damage/mold; age of housing unit; and self-reported concern about various environmental factors. In TES and HPS, household size was assessed. Accounting for sampling weights, we examined associations between each housing exposure and COVID-19 outcomes (diagnosis, vaccination) using separate logistic regression models with covariates selected based on an evidence-based directed acyclic graph. Results: Having had COVID-19 was more likely among people who reported poor physical housing condition (odds ratio [OR] = 2.32; 95% confidence interval [CI] = 1.17-4.59; 2021), visible water damage or mold/musty smells (OR = 1.50; 95% CI = 1.10-2.03; 2022), and larger household size (5+ versus 1-2 people; OR = 1.53, 95% CI = 1.34-1.75, HPS 2022). COVID-19 vaccination was less likely among participants who reported smoke exposure inside the home (OR = 0.53; 95% CI = 0.31-0.90; 2022), poor water quality (OR = 0.42; 95% CI = 0.21-0.85; 2021), noise from industrial activity/construction (OR = 0.44; 95% CI = 0.19-0.99; 2022), and larger household size (OR = 0.57; 95% CI = 0.46-0.71; HPS 2022). Vaccination was also positively associated with poor indoor air quality (OR = 1.96; 95% CI = 1.02-3.72; 2022) and poor physical housing condition (OR = 2.27; 95% CI = 1.01-5.13; 2022). Certain heating/cooling sources were associated with COVID-19 outcomes. Conclusions: Our study found poor housing conditions associated with increased COVID-19 burden, which may be driven by systemic disparities in housing, healthcare, and financial access to resources during the COVID-19 pandemic.

Environmental equity and COVID-19 experiences in the United States: Results from three survey waves of a nationally representative study conducted between 2020-2022.

Certain environmental exposures, such as air pollution, are associated with COVID-19 incidence and mortality. To determine whether environmental context is associated with other COVID-19 experiences, we used data from the nationally representative Tufts Equity in Health, Wealth, and Civic Engagement Study data (n=1785; three survey waves 2020-2022). Environmental context was assessed using self-reported climate stress and county-level air pollution, greenness, toxic release inventory site, and heatwave data. Self-reported COVID-19 experiences included willingness to vaccinate against COVID-19, health impacts from COVID-19, receiving assistance for COVID-19, and provisioning assistance for COVID-19. Self-reported climate stress in 2020 or 2021 was associated with increased COVID-19 vaccination willingness by 2022 (odds ratio [OR] = 2.35; 95% confidence interval [CI] = 1.47, 3.76), even after adjusting for political affiliation (OR = 1.79; 95% CI = 1.09, 2.93). Self-reported climate stress in 2020 was also associated with increased likelihood of receiving COVID-19 assistance by 2021 (OR = 1.89; 95% CI = 1.29, 2.78). County-level exposures (i.e., less greenness, more toxic release inventory sites, more heatwaves) were associated with increased vaccination willingness. Air pollution exposure in 2020 was positively associated with likelihood of provisioning COVID-19 assistance in 2020 (OR = 1.16 per µg/m3; 95% CI = 1.02, 1.32). Associations between certain environmental exposures and certain COVID-19 outcomes were stronger among those who identify as a race/ethnicity other than non-Hispanic White and among those who reported experiencing discrimination; however, these trends were not consistent. A latent variable representing a summary construct for environmental context was associated with COVID-19 vaccination willingness. Our results add to the growing body of literature suggesting that intersectional equity issues affecting likelihood of exposure to adverse environmental conditions are also associated with health-related outcomes.

Development and application of an evidence-based directed acyclic graph to evaluate the associations between metal mixtures and cardiometabolic outcomes.

Objectives: Specifying causal models to assess relationships among metal mixtures and cardiometabolic outcomes requires evidence-based models of the causal structures; however, such models have not been previously published. The objective of this study was to develop and evaluate a directed acyclic graph (DAG) diagraming metal mixture exposure and cardiometabolic outcomes. Methods: We conducted a literature search to develop the DAG of metal mixtures and cardiometabolic outcomes. To evaluate consistency of the DAG, we tested the suggested conditional independence statements using linear and logistic regression analyses with data from the San Luis Valley Diabetes Study (SLVDS; n=1795). We calculated the proportion of statements supported by the data and compared this to the proportion of conditional independence statements supported by 1,000 DAGs with the same structure but randomly permuted nodes. Next, we used our DAG to identify minimally sufficient adjustment sets needed to estimate the association between metal mixtures and cardiometabolic outcomes (i.e., cardiovascular disease, fasting glucose, and systolic blood pressure). We applied them to the SLVDS using Bayesian kernel machine regression, linear mixed effects, and Cox proportional hazards models. Results: From the 42 articles included in the review, we developed an evidence-based DAG with 74 testable conditional independence statements (43 % supported by SLVDS data). We observed evidence for an association between As and Mn and fasting glucose. Conclusions: We developed, tested, and applied an evidence-based approach to analyze associations between metal mixtures and cardiometabolic health.

Parents' Willingness to Vaccinate Children for COVID-19: Conspiracy Theories, Information Sources, and Perceived Responsibility.

Understanding parental decision-making about vaccinating their children for COVID-19 is essential to promoting uptake. We conducted an online survey between April 23-May 3, 2021, among a national sample of U.S. adults to assess parental willingness to vaccinate their child(ren). We also examined associations between parental intentions to VACCINATE their children for COVID-19 and conspiracy theory beliefs, trusted information sources, trust in public authorities, and perceptions regarding the responsibility to be vaccinated. Of 257 parents of children under 18 years that responded, 48.2% reported that they would vaccinate their children, 25.7% were unsure, and 26.1% said they would not vaccinate. After adjusting for covariates, each one-point increase in the Vaccine Conspiracy Beliefs Scale was associated with 25% lower odds of parents intending to vaccinate their children compared to those who did not intend to (adjusted odds ratio (AOR) = 0.75, 95% confidence interval (CI): 0.64-0.88). Parents that perceived an individual and societal responsibility to be vaccinated were more likely to report that they intended to vaccinate their children compared to those that did not intend to vaccinate their children (AOR = 5.65, 95% CI: 2.37-13.44). Findings suggest that interventions should focus on combatting conspiracy beliefs, promoting accurate and trusted information sources, and creating social norms emphasizing shared responsibility for vaccination.

COVID-19 booster vaccination coverage among adults, children and adolescents and reasons for non-receipt, United States.

We assessed COVID-19 booster vaccination coverage and reasons for non-receipt using a large, nationally representative survey (June - August, 2022). Booster vaccination coverage was 71.7% among adults, 36.8% among children, and 51.6% among adolescents. Reasons for non-receipt included the belief that it was not necessary and lack of time for vaccination. All eligible individuals should receive the updated booster vaccines as soon as possible to protect against new variants of COVID-19.

COVID-19 Adult, Childhood, and Adolescent Vaccination Coverage Among Military and Civilian Families, United States.

INTRODUCTION: The COVID-19 pandemic affected the lives of military members and their families, with over 400,000 cases among U.S. military members since the start of the pandemic. The objective of this study is to examine and compare COVID-19 vaccination coverage of military members (active duty and Reserve/National Guard) and their family members (spouses, children, and adolescents) to that of their civilian counterparts using a large, nationally representative study. METHODS: Data from March 2 to May 9, 2022, of the Household Pulse Survey were analyzed for this study (n = 207,758). COVID-19 vaccination status (≥1 dose) was assessed for military members and their spouses, civilians, and children (aged 5 to 11 and 12 to 17 years) from both military and civilian families. Differences between military members, spouses, and their children compared to civilian adults and children were assessed using chi-squared and t-tests. Multivariable logistic regression was used to examine the association between military status and COVID-19 vaccination after controlling for sociodemographic characteristics. Reasons for not getting vaccinated for adults and children from military and civilian families were assessed. RESULTS: Compared to civilian adults and adjusted for sociodemographic characteristics, military members were more likely to be vaccinated (adjusted prevalence ratio = 1.07, 95% CI: 1.01-1.13). Vaccination coverage between active duty and civilian adults differed by subgroups. For example, among military members, COVID-19 vaccination coverage decreased with increasing age, from 87.5% among those aged 18 to 39 years to 56.0% among those aged ≥55 years. In contrast, among civilian adults, vaccination coverage increased with increasing age, from 78.5% among those aged 18 to 39 years to 91.2% among those aged ≥55 years. Military members were also less likely to be vaccinated than their civilian counterparts if they were Hispanic (68.5% vs. 85.2%), had a Bachelor's degree or higher (87.5% vs. 93.8%), or had $100,000 or more in annual household income (76.7% vs. 92.6%). Military members who had anxiety or depression (70.1%) were less likely to be vaccinated compared to civilian adults (84.4%). Military spouses (74.4%) were less likely to be vaccinated than civilian adults (84.7%). Children and adolescents who were homeschooled (35.1%) or had no preventive checkups in the past year (32.4%) were less likely to be vaccinated than their respective counterparts (52.5% and 54.0%, respectively). Military adults compared to civilian adults were more likely to report lack of trust in the government (47.5% vs. 35.2%) and, for children/adolescents, the belief that the vaccine is not needed (42.1% vs. 28.1%) as reasons for non-vaccination. CONCLUSIONS: Despite vaccine mandates and the high vaccination coverage found among the majority of military members, disparities exist in some subgroups. Educational interventions and increased communication from trusted leaders, such as medical providers and commanders, could increase confidence in vaccines among military families. Ensuring access to vaccines, empowering healthcare providers to recommend vaccines, and reminding parents of missed vaccinations or preventive checkups can help improve vaccination coverage. Achieving high vaccination among military members and their families is essential in protecting those in the forefront of the pandemic response and promoting the safety and security of the nation.

Trends in vaccination schedules and up-to-date status of children 19-35 months, United States, 2015-2020.

OBJECTIVES: To estimate trends in, and factors associated with, vaccination patterns and up-to-date immunization status of U.S. children by 19 to 35 months of age. METHODS: Data from the 2015 to 2020 National Immunization Surveys were used to assess trends in vaccination patterns, up-to-date status, and zero vaccination status of U.S. children by 19-35 months. Vaccination patterns were categorized as: 1) recommended, 2) alternate, or 3) unknown or unclassifiable. Multivariable analyses were conducted to examine factors associated with each vaccination pattern and up-to-date status for all recommended vaccines. RESULTS: From 2015 to 2020, the proportion of U.S. children completing the recommended schedule increased from 62.5% to 69.4%, alternative schedule decreased from 21.6% to 16.2%, and unknown or unclassifiable schedules decreased from 15.9% to 14.3%. In addition, being not up-to-date decreased from 39.7% to 35.6%. There was no change in the percentage of children receiving zero vaccinations from 2015 to 2020 (0.9% to 0.9%). Respondents with lower household income or who were uninsured were more likely to follow an alternate or unknown/unclassifiable schedule, or not be up-to-date with vaccines. CONCLUSION: Following any schedule other than the recommended schedule was associated with not being up-to-date on immunizations. Increased efforts to catch up on recommended vaccines is important for protecting children's health. Further efforts should be made to improve timely adherence to recommended vaccination schedules, particularly among populations with the largest disparities in coverage through a tailored approach to increase confidence in and access to vaccines.

Web-Based Health Information-Seeking Methods and Time Since Provider Engagement: Cross-sectional Study.

BACKGROUND: The use of web-based methods to seek health information is increasing in popularity. As web-based health information (WHI)-seeking affects health-related decision support and chronic symptom self-management, WHI-seeking from online sources may impact health care decisions and outcomes, including care-seeking decisions. Patients who are routinely connected to physicians are more likely to receive better and more consistent care. Little is known about whether WHI-seeking impacts the frequency at which patients engage with health care providers. OBJECTIVE: Our primary objective was to describe the associations between the use of web-based methods to seek information about one's own health and the time since last engaging with a health care provider about one's own health. Additionally, we aimed to assess participants' trust in health care organizations to contextualize our findings. METHODS: We analyzed data from US adults participating in the nationally representative Tufts Equity in Health, Wealth, and Civic Engagement Survey (N=1034). Bivariate associations between demographic characteristics and health information-seeking methods were assessed with Pearson chi-squared tests. Bivariate associations of Medical Mistrust Index (MMI) scores with each health information-seeking method and time since provider engagement were assessed with F tests and adjusted Wald tests. We fit a multivariable logistic regression model to assess the association between WHI-seeking within the 12 months prior to survey (alone or in combination with provider-based methods versus provider only) and engagement with a provider more than 1 year prior to the time of survey, adjusting for age, race and ethnicity, sex, education, insurance coverage, and MMI. RESULTS: Age, race and ethnicity, educational attainment, health insurance source, MMI, and time since provider engagement were each significantly associated with the health information-seeking method in bivariate analyses. Compared to using only provider-based health information seeking methods, WHI-based methods alone or in combination with provider-based methods were associated with a 51% lower likelihood (odds ratio 0.49, 95% CI 0.27-0.87) of engaging with a provider within the previous year. Participants who used WHI-seeking methods alone and those who had not engaged with a health care provider within the previous year demonstrated a higher mean MMI score; however, MMI was not a significant predictor of time since engagement with a provider in the multivariable analysis. CONCLUSIONS: Our findings from a nationally representative survey suggest that for those who use WHI-seeking methods (alone or in combination with provider-based information-seeking methods), there is a statistically significant lower likelihood of engaging with a provider in a year compared to those who only use provider-based methods. Future research should consider the intent of a person's visit with a provider, trust in health care systems, methods of provider engagement, and specific web-based platforms for health information.

Medical mistrust, discrimination, and COVID-19 vaccine behaviors among a national sample U.S. adults.

Background: COVID-19 vaccine uptake has been suboptimal and disparities in uptake have exacerbated health inequities. It has been postulated that mistrust in the healthcare system and experiences of discrimination or unfair treatment in other settings may be barriers to uptake of the COVID-19 vaccine, although few studies to date have investigated medical mistrust and perceived discrimination together. Method: We conducted a cross-sectional online survey between April 23-May 3, 2021, among a national sample of U.S. adults ages 18 years and older. We assessed receipt of and intention to be vaccinated for COVID-19 and associations with the validated Medical Mistrust Index and Everyday Discrimination Scale. Results: 1449 individuals responded, of whom 70.2% either had ≥1 dose of COVID-19 vaccine or reported that they were 'very' or 'somewhat' likely to be vaccinated in the future. In bivariate analyses, vaccination status was significantly associated with age, race/ethnicity, education, income, employment, marital status, health insurance, and political party affiliation. In multivariable analyses comparing those who had ≥1 vaccine dose or were likely to get vaccinated in the future with those who had not had any vaccine doses or did not intend to be vaccinated, each additional point in the Medical Mistrust Index was independently associated with a 16% decrease in the odds of vaccination (adjusted odds ratio = 0.84; 95% confidence interval = 0.81, 0.86). Discriminatory experiences were not associated with vaccination behavior or intention in bivariate or multivariable analyses. Conclusions: Medical mistrust is significantly associated with vaccination status and intentions. Increasing uptake of COVID-19 vaccines will likely require substantive efforts on the part of public health and healthcare officials to build trust with those who are not yet fully vaccinated. We recommend that these efforts focus on building the 'trustworthiness' of these entities, an approach that will require a paradigm shift away from a focus on correcting individual beliefs and knowledge, to acknowledging and addressing the root causes underlying mistrust.

A Longitudinal Study of Exposure to Manganese and Incidence of Metabolic Syndrome.

The association between manganese (Mn) and metabolic syndrome (MetS) is unclear, and no prior study has studied this association longitudinally. The aim of this study was to assess longitudinal associations of Mn exposure with MetS and metabolic outcomes. We used data from the San Luis Valley Diabetes Study (SLVDS), a prospective cohort from rural Colorado with data collected from 1984−1998 (n = 1478). Urinary Mn was measured at baseline (range = 0.20−42.5 µg/L). We assessed the shape of the cross-sectional association between Mn and MetS accounting for effect modification by other metals at baseline using Bayesian kernel machine regression. We assessed longitudinal associations between baseline quartiles of Mn and incident MetS using Fine and Gray competing risks regression models (competing risk = mortality) and between quartiles of Mn and metabolic outcomes using linear mixed effects models. We did not observe evidence that quartiles of Mn were associated with incident MetS (p-value for trend = 0.52). Quartiles of Mn were significantly associated with lower fasting glucose (p-value for trend < 0.01). Lead was found to be a possible effect modifier of the association between Mn and incident MetS. Mn was associated with lower fasting glucose in this rural population. Our results support a possible beneficial effect of Mn on diabetic markers.

Residence with a Person Who Used Substances and Childhood Anxiety and Depression: A Cross-Sectional Analysis of the 2019 National Health Interview Survey.

BACKGROUND: Children who live with a parent with a substance use disorder (SUD) are more likely to experience adverse health outcomes, including mental health disorders. We assessed whether residing with anyone who used substances was associated with children's anxiety and/or depression, and whether these associations differed by the children's age or sex. METHODS: We analyzed nationally representative cross-sectional data from the 2019 National Health Interview Survey (n = 6642). The associations between ever residing with someone who used substances and caregiver-reported children's anxiety and depression frequency (never/a few times a year/monthly/weekly/daily) were estimated using multinomial logistic regression models, adjusted for children's age, children's sex, children's race/ethnicity, annual household income, and highest educational attainment by an adult in the household. We assessed whether the associations differed based on the children's age (5-11/12-17 years) or sex. RESULTS: Children who had resided with someone who used substances were more likely to be reported by their caregiver as having daily anxiety (risk ratio (RR) = 2.84; 95% confidence interval (CI) = 2.04, 3.95; referent = never anxious) and daily depression (RR = 3.35; 95% CI = 1.98, 5.67; referent = never depressed). Associations with more frequent anxiety were stronger among adolescents than younger children. Associations between residing with someone who used substances and depression frequency differed based on children's age and sex. CONCLUSIONS: Our results suggest that residing with someone who used substances is associated with children's anxiety and depression. Our findings can help inform screening and treatment efforts for anxiety and depression among children, as well as for the person using substances.

Academic training of authors publishing in high-impact epidemiology and clinical journals.

BACKGROUND: To inform training program development and curricular initiatives, quantitative descriptions of the disciplinary training of research teams publishing in top-tier clinical and epidemiological journals are needed. Our objective was to assess whether interdisciplinary academic training and teamwork of authors publishing original research in 15 top-tier journals varied by year of publication (2000/2010/2020), type of journal (epidemiological/general clinical/specialty clinical), corresponding author gender, and time since the corresponding author completed formal training relative to the article publication date (<5/≥5 years). METHODS AND FINDINGS: We invited corresponding authors of original research articles to participate in an online survey (n = 103; response rate = 8.3% of 1240 invited authors). In bivariate analyses, year of publication, type of journal, gender, and recency of training were not significantly associated with interdisciplinary team composition, whether a co-author with epidemiological or biostatistical training was involved in any research stage (design/analysis/interpretation/reporting), or with participants' confidence in their own or their co-authors epidemiological or biostatistical expertise (p > 0.05 for each comparison). Exceptions were participants with more recent epidemiological training all had co-author(s) with epidemiological training contribute to study design and interpretation, and participants who published in 2020 were more likely to report being extremely confident in their epidemiological abilities. CONCLUSIONS: This study was the first to quantify interdisciplinary training among research teams publishing in epidemiological and clinical journals. Our quantitative results show research published in top-tier journals generally represents interdisciplinary teamwork and that interdisciplinary training may provide publication type options. Our qualitative results show researchers view interdisciplinary training favorably.

Experiences with and impacts of the COVID-19 pandemic by substance use disorder in the early phase of pandemic in the United States: A cross-sectional survey, 2020.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic could disproportionately affect individuals who have a substance use disorder (SUD). However, little information exists on COVID-19-related experiences among individuals with a SUD. We examined whether individuals with a SUD differ from other individuals with regard to COVID-19 testing, susceptibility, and employment-related vulnerability. METHODS: We used data from a U.S. nationally representative survey (n = 1,208). Using logistic regressions, we examined whether individuals with SUDs differ from other individuals regarding underlying health conditions, COVID-19 testing, access to paid sick leave, and loss of employment. Data were collected in late May-early June, 2020. RESULTS: Four percent of participants reported that a healthcare professional had told them they had a SUD. We found that, compared to those without SUDs, respondents with SUDs had higher odds of having lost their job due to the pandemic (adjusted odds ratio [AOR]:5.17, 95% confidence interval [CI]:2.28-11.74). Among individuals who were employed prior to the pandemic, people with SUDs had lower odds of having paid sick leave (AOR:0.26, 95% CI:0.09-0.74). CONCLUSION: Our study indicates that individuals with SUDs could be disproportionately affected by COVID-19 economically, which might worsen SUD and racial/ethnic health disparities.