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Introduction

In the U.S., xylazine, the veterinary non-opioid sedative, has emerged as a major threat to people who use illicitly manufactured fentanyl and other drugs. The aim of this study was to compare wastewater detection of xylazine with other public health and safety surveillance data from 2019 to 2023 in Kentucky.

Methods

Wastewater samples from 5 rest areas, 2 truck weigh stations, and 4 wastewater treatment plants were tested for xylazine. Wastewater xylazine positivity rates were compared with xylazine-positive submission rates from the National Forensic Laboratory Information System and Kentucky's fatal overdoses in 6-month periods (Period 1=January–June; Period 2=July–December).

Results

Xylazine was detected in 61.6% (424 of 688) of daily wastewater samples from roadway sites/wastewater treatment plants. For roadways, detection increased from 55% (Period 1, 2021) to 94% (Period 1, 2023), and wastewater treatment plants had an overall detection of 25.8% (n=66 samples, Periods 1 and 2, 2022). Increasing roadway positivity corresponded to trends in National Forensic Laboratory Information System xylazine-positive submission rates: from 0.19 per 1,000 submissions (Period 1, 2019) to 2.9 per 1,000 (Period 2, 2022, latest available). No deaths from xylazine were reported publicly in Kentucky, although this study's authors identified 1–4 deaths (true count suppressed) in the overdose surveillance system, which, in back-of-the-envelope comparisons with other states, is far fewer than expected.

Conclusions

Wastewater signals indicate broad geographic exposure to xylazine in Kentucky, yet health outcomes data suggest otherwise. These findings may inform regional, national, and international efforts to incorporate wastewater-based drug surveillance. Harm-reduction activities along roadways and other suitable locations may be needed.

Introduction

The novel COVID-19 disease detected in 2019 widely affected individuals’ social movements, likely disrupting the ability to participate in leisure-related physical activity. Because of this, participation in sedentary behavior is thought to have increased. The purpose of this study was to determine how the COVID-19 pandemic affected U.S. young adult physical activity and sedentary behavior.

Methods

A total of 333 U.S. young adults (aged between 18 and 30 years) completed an online, comprehensive questionnaire during the early parts of COVID-19. Wilcoxon signed-rank tests were used to determine the change in time spent in physical activity and sedentary behavior during COVID-19 compared with that before COVID-19.

Results

There was a significant decrease in physical activity minutes (p<0.0001) and a significant increase in sedentary behavior (p<0.005) during COVID-19 compared with that before COVID-19. Significant differences were found by stratifying the data by sex and relationship status. Although both males and females reduced their physical activity, only males significantly increased their time in sedentary behavior during COVID-19 compared with that before COVID-19 (p<0.05). Furthermore, married young adults significantly reduced their physical activity during COVID-19 (p<0.001), whereas single individuals did not. Single young adults saw significant increases in sedentary behavior during COVID-19 (p<0.005), whereas married individuals did not exhibit any change in sedentary behavior.

Conclusions

Stay-at-home orders enforced in the U.S. during the summer of 2020 led to increases in sedentary behavior and decreases in physical activity, particularly among males and single young adults. Future studies should determine whether these behavior changes persist.

Introduction

The first case of mpox in Louisiana was identified 2 months ahead of Southern Decadence Festival in New Orleans, the largest LGBTQ+ Pride festival in the South. With mpox case numbers reflecting racial disparities, the objective was to mount an equitable vaccination response.

Methods

The Louisiana Department of Health rapidly pivoted its COVID-19 resources and strategies—specifically, using vaccine strike teams and mobile events, in-state vaccine redistribution through centralized warehousing and shipping support, and community partnerships—to now control mpox transmission. Here, the authors have evaluated state-based Immunization Information System data to examine whether the vaccination response was geographically and racially equitable. Geographic equity was measured by taking into account vaccine availability as well as uptake in areas with high Social Vulnerability Index.

Results

A total of 113 providers were enrolled in the vaccination program, and 96 mobile vaccination events were held in locations frequented by at-risk populations. Racial disparities among vaccine recipients decreased over time, and vaccine availability and uptake were equitable in areas with high Social Vulnerability Indices. However, Black, female, and Hispanic/Latinx patients had significantly higher risk of not completing the 2-dose series than their counterparts.

Conclusions

The mpox vaccination response in Louisiana was geographically equitable, though some demographic disparities remained.

Introduction

Risk of complications due to gestational diabetes mellitus is increasing in the U.S., particularly among individuals from racial minorities. Research has focused largely on clinical interventions to prevent complications, rarely on individuals’ residential environments. This retrospective cohort study aims to examine the association between individuals’ neighborhoods and complications of gestational diabetes mellitus.

Methods

Demographic and clinical data were extracted from electronic health records and linked to American Community Survey data from the U.S. Census Bureau for 2,047 individuals who had 2,164 deliveries in 2014–2018. Data were analyzed in 2021–2022 using Wilcoxon rank sum test and chi-square test for bivariate analyses and logistic regression for analysis of independent effects. All census tract–based variables used in the model were dichotomized at the median.

Results

Bivariate analysis showed that the average percentage of adults earning <$35,000 was higher in neighborhoods where individuals with complications were living than in neighborhoods where individuals without complications were living (30.40%±12.05 vs 28.94%±11.71, p=0.0145). Individuals who lived in areas with ≥8.9% of residents aged >25 years with less than high school diploma had a higher likelihood of complications than those who lived in areas with <8.9% of such residents (33.43% vs 29.02%, p=0.0272). Individuals who lived in neighborhoods that had ≥1.8% of households receiving public assistance were more likely to have complications than those who lived in areas where <1.8% of households received public assistance (33.33% vs 28.97%, p=0.0287). Logistic regression revealed that the odds of deliveries with complications were 44% higher for individuals with obesity (OR=1.44; 95% CI=1.17, 1.77), 35% greater for individuals residing in neighborhoods with higher percentages of households living below the poverty level (OR=1.35; 95% CI=1.09, 1.66), and 28% lower for individuals from neighborhoods where a higher percentage of households had no vehicles available for transportation to work (OR=0.72; 95% CI=0.59, 0.89).

Conclusions

Clinical interventions in concert with environmental changes could contribute to preventing maternal and neonatal complications of gestational diabetes mellitus.

Introduction

In anticipation of institutional and community-wide COVID-19 immunization clinics, an educational program for the administration of COVID-19 vaccines was developed, collaborating with the Virginia Department of Health to train doctor of medicine and physician assistant students to serve as vaccinators. Faculty and students also worked with state legislatures to propose and enact a bill that would enable such students to vaccinate patients.

Methods

Between January 2021 and August 2022, 263 student volunteers completed 3,685 person-hours, administering 48,279 doses. On the basis of community need, the majority of vaccines were administered at mass vaccination clinics in Chesapeake (47%) and Norfolk (22%) in Virginia. One year after the first COVID-19 immunization clinic, the authors surveyed students who assisted with clinics, utilizing a Likert scale and free-text responses to elicit feedback about the training and volunteer experience.

Results

Volunteers ranked the vaccination clinics among the top third of established volunteer experiences offered at Eastern Virginia Medical School, and 75% of respondents believed that this training should be a permanent part of their program curriculum.

Conclusions

This paper presents a strategy for preparing students to serve as vaccinators during public health emergencies and show how other institutions of medical education can prepare for and engage student participation in vaccination campaigns and emergent health initiatives.

Introduction

The use of race in clinical risk prediction tools may exacerbate racial disparities in healthcare access and outcomes. This study quantified the number of individuals reclassified for primary prevention of cardiovascular disease owing to a change in their race alone on the basis of a commonly used risk prediction tool.

Methods

This is a cross-sectional analysis of individuals aged 40–75 years without a history of cardiovascular events, diabetes, or other high-risk features using the 2005–2018 National Health and Nutritional Examination Survey. Authors compared atherosclerotic cardiovascular disease risk scores using the American Heart Association/American College of Cardiology equation recommended for White individuals or individuals of other races with that recommended for Black individuals.

Results

A total of 2,946 White individuals; 1,361 Black individuals; and 2,495 individuals of other races were included in the analysis. Using the American Heart Association/American College of Cardiology equation, the mean 10-year atherosclerotic cardiovascular disease risk was 5.80% (95% CI=5.54, 6.06) for White individuals, 7.04% (956% CI=6.69, 7.39) for Black individuals, and 4.93% (95% CI=4.61, 5.24) for individuals of other races. When using the American Heart Association/American College of Cardiology equation designated for the opposite race (White/other race versus Black), the mean atherosclerotic cardiovascular disease risk score increased by 1.02% (95% CI=0.90, 1.13) for White individuals, decreased by 1.82% (95% CI= −1.67, −1.96) for Black individuals, and increased by 0.98% (95% CI=0.85, 1.10) for individuals of other races. When using clinical atherosclerotic cardiovascular disease categories of <7.5%, 7.5%–10%, and >10%, 16.93% of all individuals were reclassified when using the American Heart Association/American College of Cardiology's equation designated for the opposite race.

Conclusions

Changing race within a commonly used cardiovascular risk prediction tool results in significant changes in risk classification among eligible White and Black individuals in the U.S.

Community surveillance surveys offer an opportunity to obtain important and timely public health information that may help local municipalities guide their response to public health threats. The objective of this paper is to present approaches, challenges, and solutions from SARS-CoV-2 surveillance surveys conducted in different settings by 2 research teams. For rapid assessment of a representative sample, a 2-stage cluster sampling design was developed by an interdisciplinary team of researchers at Oregon State University between April 2020 and June 2021 across 6 Oregon communities. In 2022, these methods were adapted for New York communities by a team of veterinary, medical, and public health practitioners. Partnerships were established with local medical facilities, health departments, COVID-19 testing sites, and health and public safety staff. Field staff were trained using online modules, field manuals describing survey methods and safety protocols, and in-person meetings with hands-on practice. Private and secure data integration systems and public awareness campaigns were implemented. Pilot surveys and field previews revealed challenges in survey processes that could be addressed before surveys proceeded. Strong leadership, robust trainings, and university–community partnerships proved critical to successful outcomes. Cultivating mutual trust and cooperation among stakeholders is essential to prepare for the next pandemic.

Introduction

This study aimed to identify social, psychological, and contextual factors that influenced attendance at routine oral health visits in a cohort of 189 preschool children who were followed over a 2-year period.

Methods

Generalized estimating equation was used to examine the association between clinic attendance and the predictors. ORs and 95% CIs were reported in the multiple logistic regression models. The study was conducted in Rochester, New York, between February 2016 and February 2021.

Results

Prior to the COVID-19 pandemic declaration, the rate of canceled and no-show appointments was greater for routine clinic visits (20% and 24%, respectively) than for research visits (14% and 9%, respectively) for the same participants; these rates increased during the pandemic. After adjusting for sociodemographic factors, the likelihood of a canceled or no-show appointment was associated with parental depression (OR=1.06, CI=1.03, 1.09), regardless of the type or occurrence of the visit.

Conclusions

Findings from this study demonstrate that attendance to oral health care in young children is reliably reduced with parental depression and that this may provide one mechanism for early emerging health inequalities of oral health.

Introduction

Adverse childhood experiences are linked to adult morbidity and mortality. However, it is unknown whether the patterning of adverse childhood experiences, individually and in combination, confer health risk distinct from that of a cumulative adversity score. This study evaluates whether individual and comorbid adverse childhood experience exposures within a cumulative risk score are equally associated with current smoking and lifetime history of depression.

Methods

Cross-sectional analysis of adverse childhood experience assessments in the Behavioral Risk Factor Surveillance System from 21 states in 2019 (n=115,183) and 23 states in 2020 (n=120,416) was performed. We modeled cumulative adverse childhood experience scores and the 5 most common distinct adverse childhood experience components that compose a given adverse childhood experience score, up to a cumulative score of 4. We compared adverse childhood experience components, adjusting for covariates.

Results

Across both samples, 23% and 57%–58% of persons reported 1 adverse childhood experience and 2 or more adverse childhood experiences, respectively. In 2019 smoking prevalence was 10.4% for persons reporting zero adverse childhood experiences and 14.2% for persons reporting 1 adverse childhood experience. When the single adverse childhood experience was experiencing parental divorce, smoking was higher (16.6%) than when the single adverse childhood experience was verbal abuse (11.8%) or living with a mentally ill household member (9.5%). Lifetime depression prevalence was 9.6% and 14.1% across zero and 1 adverse childhood experience, respectively, whereas it was 26.6% if the single adverse childhood experience was living with a mentally ill household member and 11.0% when the adverse childhood experience was experiencing parental divorce. This heterogeneity was replicated in 2020 data. Additional heterogeneity was observed for higher cumulative adverse childhood experience scores.

Conclusions

Cumulative adverse childhood experience scores mask substantial health risk heterogeneity, which can be delineated by examining distinct components of cumulative adverse childhood experience scores.