Wastewater testing can inform public health action as a component of polio outbreak response. During 2022-2023, a total of 7 US jurisdictions (5 states and 2 cities) participated in prospective or retrospective testing of wastewater for poliovirus after a paralytic polio case was identified in New York state. Two distinct vaccine-derived poliovirus type 2 viruses were detected in wastewater from New York state and New York City during 2022, representing 2 separate importation events. Of those viruses, 1 resulted in persistent community transmission in multiple New York counties and 1 paralytic case. No poliovirus was detected in the other participating jurisdictions (Connecticut, New Jersey, Michigan, and Illinois and Chicago, IL). The value of routine wastewater surveillance for poliovirus apart from an outbreak is unclear. However, these results highlight the ongoing risk for poliovirus importations into the United States and the need to identify undervaccinated communities and increase vaccination coverage to prevent paralytic polio.

BACKGROUND: There are known disparities in U.S. COVID-19 vaccination but there is limited information on national vaccine uptake in a large, racially diverse, all-age population. Here, we describe COVID-19 vaccination coverage in a large U.S. population accessing care in OCHIN (not an acronym), a national network of community-based healthcare organizations. METHODS: Within OCHIN, we identified patients aged 6 months and older with ≥1 completed clinical encounter since becoming age-eligible for the COVID-19 vaccine between December 13, 2020 and December 31, 2022. Patients' COVID-19 vaccination status was assessed from OCHIN's Epic® electronic health record which includes data from state immunization information systems. Patients were considered vaccinated if they received ≥1 dose of a monovalent vaccine product; coverage was categorized by age groups (6 months-4 years; 5-11 years, 12-15 years, 16+ years). Multivariate analyses assessed factors associated with COVID-19 vaccination across age groups. RESULTS: The cohort included 3.3 million Hispanic (37 %), non-Hispanic (NH) White (31 %), NH Black (15 %), and NH Asian (7 %) patients; 45 % of whom were Medicaid-enrolled, 19 % uninsured, and 53 % with a household income below 100 % of the federal poverty level. The proportion with ≥1 COVID-19 vaccine dose increased with age, from 11.7 % (6 months through 4 years) to 72.3 % (65 years and older). The only factors associated with significantly higher COVID-19 vaccine coverage across age groups were prior receipt of an influenza vaccine and having private insurance. In adjusted modeling, when compared to NH whites, COVID-19 vaccine coverage was significantly higher among Hispanic, NH Asian, and NH multiple-race patients aged ≥5 years and significantly lower among NH Black and NH Native Hawaiian/Other Pacific Islander patients aged 6 months-4 years old. CONCLUSIONS: We identified disparities in primary series COVID-19 vaccine coverage by age, race and ethnicity, household income, insurance status, and prior influenza vaccination within this large, diverse population accessing care in community-based healthcare organizations.

OBJECTIVES: Higher prevalence of several chronic diseases occurs in men in the United States, including diabetes and prediabetes. Of the 34 million adults with diabetes and 88 million with prediabetes there is a higher prevalence of both conditions in men compared to women. Black, Hispanic, and American Indian men have some of the highest rates of diabetes and diabetes complications. Adopting a healthy lifestyle including healthy eating and physical activity, is important in preventing type 2 diabetes and diabetes complications. DESIGN: This study included six focus groups that explored facilitators and barriers to adopting a healthy lifestyle in Black, Hispanic, and American Indian men with diabetes or at risk for type 2 diabetes. Thematic analysis was used to identify facilitators and barriers to adopting a healthy lifestyle. RESULTS: Participants included males 18 years of age and older identifying as Black, Hispanic, or American Indian and diagnosed with prediabetes, diabetes, hypertension, or otherwise at risk for type 2 diabetes. Thirty-seven men participated, 19 diagnosed with diabetes and 18 at risk for type 2 diabetes. Fourteen Black, 14 Hispanic, and 9 American Indian men participated. The themes of facilitators to a healthy lifestyle included: family and the social network; psychosocial factors; health status, health priorities and beliefs about aging; knowledge about health and healthy behavior; and healthy community resources. Themes of barriers to a healthy lifestyle also included: mistrust of the health care system, cost, and low socioeconomic status. CONCLUSIONS: This study underscores the complexity of factors involved in adopting a healthy lifestyle for some racial and ethnic minority men with diabetes or at risk for type 2 diabetes.

INTRODUCTION: The purpose of this review is to examine African Ebola outbreaks from their first discovery to the present, to determine how the medical and public health response has changed and identify the causes for those changes. We sought to describe what is now known about the epidemiology and spread of Ebola virus disease (EVD) from the significant outbreaks that have occurred and outbreak control methods applied under often challenging circumstances. Given the substantial role that the U.S. Government and the U.S. DoD have played in the 2014 to 2016 West African Ebola outbreak, the role of the DoD and the U.S. African Command in controlling EVD is described. MATERIALS AND METHODS: A descriptive method design was used to collect and analyze all available Ebola outbreak literature using the PubMed database. An initial literature search was conducted by searching for, obtaining, and reading original source articles on all major global Ebola outbreaks. To conduct a focused search, we used initial search terms "Ebola outbreak," "Ebola virus disease," "Ebola response," "Ebola countermeasures," and also included each country's name where Ebola cases are known to have occurred. From the 4,673 unique articles obtained from this search and subsequent article title review, 307 articles were identified for potential inclusion. Following abstract and article review, 45 original source articles were used to compile the history of significant Ebola outbreaks. From this compilation, articles focused on each respective subsection of this review to delineate and describe the history of EVD and response, identifying fundamental changes, were obtained and incorporated. RESULTS: We present known Ebola virus and disease attributes, including a general description, seasonality and location, transmission capacity, clinical symptoms, surveillance, virology, historical EVD outbreaks and response, international support for Ebola outbreak response, U.S. DoD support, medical countermeasures supporting outbreak response, remaining gaps to include policy limitations, regional instability, climate change, migration, and urbanization, public health education and infrastructure, and virus persistence and public awareness. CONCLUSIONS: The health and societal impacts of EVD on Africa has been far-reaching, with about 35,000 cases and over 15,000 deaths, with small numbers of cases spreading globally. However, the history of combatting EVD reveals that there is considerable hope for African nations to quickly and successfully respond to Ebola outbreaks, through use of endemic resources including Africa CDC and African Partner Outbreak Response Alliance and the U.S. African Command with greater DoD reachback. Although there remains much to be learned about the Ebola virus and EVD including whether the potential for novel strains to become deadly emerging infections, invaluable vaccines, antivirals, and public health measures are now part of the resources that can be used to combat this disease.

This study examined the performance of a brief screening tool for tics in adolescents. Academic and social impairment in students by tic screen status and emotional/behavioral problem status were examined. Data were collected as part of an epidemiologic study, the Project to Learn about Youth–Mental Health. Participants were 2,312 secondary school students at the Ohio site (47.4% female; 94.4% non-Hispanic white) and their teachers. Students completed 6 items from the Motor tic, Obsessions and compulsions, Vocal tic Evaluation Survey (MOVES-6) and the Strengths and Difficulties Questionnaire (SDQ). Teachers completed the Proxy Report Questionnaire for tics and SDQ. Based on responses to the MOVES-6, 11.1% of students screened positive for tics. Internal consistency was adequate (α = 0.76); inter-rater consistency between teachers and students was low (0.03). Based on student self-report, those who screened positive for tics self-reported more academic and social impairment than students who screened negative for tics; teacher-report of impairment was similar between those with a positive or negative tic screen. Students who screened positive for tics and reported internalizing difficulties reported more academic and social impairment than students with only a positive tic screen. Teachers perceived those screening positive for tics and externalizing difficulties as the most socially impaired. In conclusion, a positive self-reported tic screen was associated with self-reported academic and social impairment. Findings reveal the independent contribution of tics to impairment, even when internalizing and externalizing problems are present, and the potential utility of a school-based screening for tics in adolescents. © 2023 Society of Clinical Child & Adolescent Psychology.

INTRODUCTION: Most adults who currently use tobacco start before age 21. Comprehensive, cost-effective strategies and interventions to prevent initiation and encourage tobacco use cessation among youth are critical aspects of protecting youth from the harms of commercial tobacco. We describe changes in current tobacco product use among youth in 34 sites using data from the Global Youth Tobacco Survey (GYTS). METHODS: GYTS is a nationally representative school-based survey of students aged 13 to 15 years. The analysis included 34 sites that completed 2 survey waves during 2012-2020. Prevalence of current tobacco use was assessed for each country. Marginal effects in multivariable logistic regression models were used to estimate adjusted prevalence difference (aPD) between waves. RESULTS: The adjusted prevalence of current tobacco product use remained unchanged in more than 60% of the included sites. For any tobacco use, significant decreases were reported for Bhutan (aPD = -8.1; 95% CI, -12.9 to -3.4), Micronesia (aPD = -7.2; 95% CI, -9.7 to -4.7), San Marino (aPD = -7.0; 95% CI, -11.2 to -2.7), Togo (aPD = -2.7; 95% CI, -4.6 to -0.7), and Panama (aPD = -2.2; 95% CI, -4.1 to -0.4); significant increases were reported for Moldova, Albania, and Paraguay. Current e-cigarette use increased significantly in 7 of 10 sites. CONCLUSION: Data show that progress toward reducing tobacco use among youth stalled during 2012-2020, while e-cigarette use increased in a few sites with available data.

Background: Vaccine access, coupled with the belief that vaccines are important, beneficial, and safe, plays a pivotal role in achieving high levels of vaccination to reduce the spread and severity of COVID-19 in the United States (U.S.) and globally. Many factors can influence vaccine intentions and uptake. Method(s): We conducted a scoping review of factors (e.g., access-related factors, racism) known to influence vaccine intentions and uptake, using publications from various databases and websites published December 1, 2020-April 30, 2021. Descriptive statistics were used to present results. Result(s): Overall, 1094 publications were identified through the database search, of which 133 were included in this review. Among the publications included, over 60% included mistrust in vaccines and vaccine-safety concerns, 43% included racism/discrimination, 35% included lack of vaccine access (35%), and 8% had no contextual factors when reporting on vaccine intentions and disparities in vaccine uptake. Conclusion(s): Findings revealed during a critical period when there was a well-defined goal for adult COVID-19 vaccination in the U.S., some publications included several contextual factors while others provided limited or no contextual factors when reporting on disparities in vaccine intentions and uptake. Failing to contextualize inequities and other factors that influence vaccine intentions and uptake might be perceived as placing responsibility for vaccination status on the individual, consequently, leaving social and structural inequities that impact vaccination rates and vaccine confidence, among people of color, intact. Copyright The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.

OBJECTIVE: To compare mortality rates in World Trade Center (WTC)-exposed Fire Department of the City of New York (FDNY) firefighters with rates in similarly healthy, non-WTC-exposed/non-FDNY firefighters, and compare mortality in each firefighter cohort with the general population. METHODS: 10 786 male WTC-exposed FDNY firefighters and 8813 male non-WTC-exposed firefighters from other urban fire departments who were employed on 11 September 2001 were included in the analyses. Only WTC-exposed firefighters received health monitoring via the WTC Health Programme (WTCHP). Follow-up began 11 September 2001 and ended at the earlier of death date or 31 December 2016. Death data were obtained from the National Death Index and demographics from the fire departments. We estimated standardised mortality ratios (SMRs) in each firefighter cohort versus US males using demographic-specific US mortality rates. Poisson regression models estimated relative rates (RRs) of all-cause and cause-specific mortality in WTC-exposed versus non-WTC-exposed firefighters, controlling for age and race. RESULTS: Between 11 September 2001 and 31 December 2016, there were 261 deaths among WTC-exposed firefighters and 605 among non-WTC-exposed. Both cohorts had reduced all-cause mortality compared with US males (SMR (95% CI)=0.30 (0.26 to 0.34) and 0.60 (0.55 to 0.65) in WTC-exposed and non-WTC-exposed, respectively). WTC-exposed firefighters also had lower rates of all-cause mortality (RR=0.54, 95% CI=0.49 to 0.59) and cancer-specific, cardiovascular-specific and respiratory disease-specific mortality compared with non-WTC-exposed firefighters. CONCLUSION: Both firefighter cohorts had lower than expected all-cause mortality. Fifteen years post 11 September 2001, mortality was lower in WTC-exposed versus non-WTC-exposed firefighters. Lower mortality in the WTC-exposed suggests not just a healthy worker effect, but additional factors such as greater access to free health monitoring and treatment that they receive via the WTCHP.

From May 2022 through the end of January 2023, approximately 30,000 cases of monkeypox (mpox) have been reported in the United States and >86,000 cases reported internationally.* JYNNEOS (Modified Vaccinia Ankara vaccine, Bavarian Nordic) is recommended for subcutaneous administration to persons at increased risk for mpox (1,2) and has been demonstrated to provide protection against infection (3-5). To increase the total number of vaccine doses available, the Food and Drug Administration (FDA) issued an Emergency Use Authorization (EUA) on August 9, 2022, recommending administration of the vaccine intradermally (0.1 mL per dose) for persons aged ≥18 years who are recommended to receive it (6); intradermal administration can generate an equivalent immune response to that achieved through subcutaneous injection using approximately one fifth the subcutaneous dose (7). CDC analyzed JYNNEOS vaccine administration data submitted to CDC from jurisdictional immunization information systems (IIS)(†) to assess the impact of the EUA and to estimate vaccination coverage among the population at risk for mpox. During May 22, 2022-January 31, 2023, a total of 1,189,651 JYNNEOS doses (734,510 first doses and 452,884 second doses)(§) were administered. Through the week of August 20, 2022, the predominant route of administration was subcutaneous, after which intradermal administration became predominant, in accordance with FDA guidance. As of January 31, 2023, 1-dose and 2-dose (full vaccination) coverage among persons at risk for mpox is estimated to have reached 36.7% and 22.7%, respectively. Despite a steady decline in mpox cases from a 7-day daily average of more than 400 cases on August 1, 2022, to five cases on January 31, 2023, vaccination for persons at risk for mpox continues to be recommended (1). Targeted outreach and continued access to and availability of mpox vaccines to persons at risk are important to help prevent and minimize the impact of a resurgence of mpox.

The language used when reporting racial and ethnic disparities in vaccine intentions and uptake must evolve to reflect social and structural inequities. To achieve health equity, we must acknowledge the extent to which racism and health inequities serve as barriers to vaccine-seeking behaviours among people of colour. | | During the early stages of the rollout of COVID-19 vaccines in the USA, uptake of COVID-19 vaccines was higher among White, non-Hispanic persons as compared with people of colour (that is, American Indian or Alaska Native, non-Hispanic; Black, non-Hispanic; Hispanic; and Native Hawaiian or Pacific Islander, non-Hispanic persons). These early racial and ethnic disparities in vaccination rates led many news stories, journal articles and other reports to perpetuate a narrative that disparities in the uptake of COVID-19 vaccines among people of colour were largely driven by vaccine hesitancy, while neglecting to focus on health inequities and other factors as drivers of disparities in vaccine intentions and uptake.

We examined the predictive utility of the Behavior Assessment System for Children-2 Behavioral and Emotional Screening System (BASC-2-BESS) and Strengths and Difficulties Questionnaire (SDQ) in identifying students with a mental disorder. Data were collected in a two-stage study over 34 months with kindergarten-12th grade (K–12) students (aged 5–19 years) in four US school districts. In Stage 1, teachers completed the BASC-2-BESS and the SDQ. In Stage 2, parents of 1054 children completed a structured diagnostic interview to determine presence of a mental disorder. Results suggest that teacher versions of the BASC-2-BESS and SDQ have modest utility in identifying children meeting criteria for a mental disorder based on parent report. Area under the curve (AUC) statistics representing prediction of any externalizing disorder (0.73 for both measures) were higher than the AUCs predicting any internalizing disorder (0.58 for both measures). Findings can inform the use of teacher report in mental health screening, specifically the selection of measures when implementing screening procedures. © 2023 Wiley Periodicals LLC.

OBJECTIVES: Determining an accurate estimate of SARS-CoV-2 seroprevalence has been challenging in African countries where malaria and other pathogens are endemic. We compared the performance of one single-antigen assay and three multi-antigen SARS-CoV-2 IgG assays in a Nigerian population endemic for malaria. METHODS: De-identified plasma specimens from SARS-CoV-2 RT-PCR positive, dried blood spot (DBS) SARS-CoV-2 RT-PCR positive, and pre-pandemic negatives were used to evaluate the performance of the four SARS-CoV-2 assays (Tetracore, SARS2MBA, RightSign, xMAP). RESULTS: Results showed higher sensitivity with the multi-antigen (81% (Tetracore), 96% (SARS2MBA), 85% (xMAP)) versus the single-antigen (RightSign (64%)) SARS-CoV-2 assay. The overall specificities were 98% (Tetracore), 100% (SARS2MBA and RightSign), and 99% (xMAP). When stratified based on <15 days to ≥15 days post-RT-PCR confirmation, the sensitivities increased from 75% to 88.2% for Tetracore; from 93% to 100% for the SARS2MBA; from 58% to 73% for RightSign; and from 83% to 88% for xMAP. With DBS, there was no positive increase after 15-28 days for the three assays (Tetracore, SARS2MBA, and xMAP). CONCLUSION: Multi-antigen assays performed well in Nigeria, even with samples with known malaria reactivity, and might provide more accurate measures of COVID-19 seroprevalence and vaccine efficacy.

OBJECTIVE: To evaluate the appropriateness of parent-reported diagnosis of ADHD as a surveillance tool. METHOD: We assessed agreement over time and concordance of parent-reported diagnosis against Diagnostic and Statistical Manual (DSM)-based criteria. We compared concordance of diagnosis and DSM-based criteria by child characteristics, including treatment. RESULTS: Among parents who reported their child had ADHD, 95.7% reported it again 2 years later. Comparing diagnosis with DSM-based criteria, specificity and negative predictive value were high, sensitivity was moderate, and positive predictive value was low. Most children with an ADHD diagnosis who did not meet DSM-based criteria met sub-threshold criteria or took medication for ADHD. Concordance differed by child characteristics and treatment. CONCLUSION: Parent-reported diagnosed ADHD is reliable over time. Although differences in parent-reported diagnosis and DSM-based criteria were noted, these may reflect children with milder symptoms or treated ADHD. Parent-report of child ADHD ever diagnosis may be a good single-item indicator for prevalence.

OBJECTIVE: In 2020, the COVID-19 pandemic overburdened the US health care system because of extended and unprecedented patient surges and supply shortages in hospitals. We investigated the extent to which several US hospitals experienced emergency department (ED) and intensive care unit (ICU) overcrowding and ventilator shortages during the COVID-19 pandemic. METHODS: We analyzed Health Pulse data to assess the extent to which US hospitals reported alerts when experiencing ED overcrowding, ICU overcrowding, and ventilator shortages from March 7, 2020, through April 30, 2021. RESULTS: Of 625 participating hospitals in 29 states, 393 (63%) reported at least 1 hospital alert during the study period: 246 (63%) reported ED overcrowding, 239 (61%) reported ICU overcrowding, and 48 (12%) reported ventilator shortages. The number of alerts for overcrowding in EDs and ICUs increased as the number of COVID-19 cases surged. CONCLUSIONS: Timely assessment and communication about critical factors such as ED and ICU overcrowding and ventilator shortages during public health emergencies can guide public health response efforts in supporting federal, state, and local public health agencies.

AIMS: We examined changes in the prevalence of elevated depressive symptoms among US adults with diabetes, prediabetes, and normal glycemic status during 2005-2016. METHODS: We analyzed data from 32,676 adults in the 2005-2016 National Health and Nutrition Examination Surveys. We defined diabetes as self-reporting a physician diagnosis of diabetes or A1C ≥ 6.5% [48 mmol/mol], and prediabetes as A1C 5.7-6.4% [39-46 mmol/mol]. We used the 9-item Patient Health Questionnaire (PHQ-9) score ≥ 10 or antidepressant use to define 'clinically significant depressive symptoms' (CSDS) and PHQ-9 score ≥ 12 as 'Major Depressive Disorder' (MDD). We calculated prevalence age-standardized to the 2000 US census and used logistic-regression to compute adjusted odds of CSDS and MDD for 2005-2008, 2009-2012, and 2015-2016. We analyzed the prevalence of A1C ≥ 9.0% [75 mmol/mol], systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg, non-HDL cholesterol ≥ 130 mg/dL, and current smoking among adults with diagnosed diabetes by depressive status. RESULTS: The prevalence of CSDS increased among individuals with normal glycemic status from 15.0% (13.5-16.2) to 17.3% (16.0-18.7) (p = 0.03) over 2005-2016. The prevalence of CSDS and MDD remained stable among adults with prediabetes (~ 16% and 1%, respectively) and diabetes (~ 26% and ~3%). After controlling for glycemic, sociodemographic, economic, and self-rated health variables, we found 2-fold greater odds of CSDS among unemployed individuals and 3-fold greater odds among those with fair/poor self-rated health across all survey periods. Cardiometabolic care targets for adults with diagnosed diabetes were stable from 2005 to 2016 and similar across depressive status. CONCLUSIONS: One-fourth of adults with diabetes have comorbid CSDS; this prevalence remained stable over 2005-2016 with no change in diabetes care. At the population level, depression does not appear to impact diabetes care, but further research could explore subgroups that may be more vulnerable and could benefit from integrated care that addresses both conditions.

In 2019, more than half of the United States reported increases of both syphilis among females of reproductive ages and congenital syphilis (CS), with 49 states reporting at least 1 CS case, totaling 1870 cases. From 2013 to 2019, CS cases quadrupled in the United States.1–3 New York State (NYS) syphilis morbidity mirrors a similar trend, with CS cases more than doubling from 2013 to 2019. Although successful prevention of CS requires systemic changes to health and public health infrastructures, one route to identify best practices is to seek areas with a documented high CS aversion rate (the number of pregnancies in which syphilis is diagnosed minus reported CS cases out of the total pregnancies in which syphilis is diagnosed).4 In 2019, the primary and secondary syphilis (PnS) rate in NYS, excluding NY City, was 8.4 per 100,000 residents, an increase of 48.4% from 2013. Monroe County (MC), in western NY, had the highest PnS rate in NYS, excluding NY City in 2019 (28.3 per 100,000 residents).2 Despite the highest PnS rates, MC has documented successive years with a high CS aversion rate. Since 2012, MC has experienced a 1364% increase in PnS diagnoses and reported 1 CS case, averting 94.7% of cases from 2012 to 2019. The CS aversion rate for the rest of the state for the same period was 81.9% (P = 0.15). To better explain and explore successes realized in MC's CS prevention efforts, we summarized activities into 2 practices: (1) increased client-centered syphilis screening among disproportionately impacted communities and (2) enhanced integration of sexual health clinic and public health programming. This article describes activities implemented without evaluating the effectiveness of each policy and practice. To complement the best practices provided hereinafter, we created a visual guide summarizing how community stakeholders can coordinate to implement and use the best practices (Fig. 1).

OBJECTIVE: To compare cancer incidence in Fire Department of the City of New York (FDNY) firefighters who worked at the World Trade Center (WTC) site to incidence in a population of non-WTC-exposed firefighters, the Career Firefighter Health Study (CFHS) cohort, and to compare rates from each firefighter cohort to rates in demographically similar US males. METHODS: FDNY (N=10 786) and CFHS (N=8813) cohorts included male firefighters who were active on 11 September 2001 (9/11) and were followed until death or 31 December 2016. Cases were identified from 15 state cancer registries. Poisson regression models assessed cancers in each group (FDNY and CFHS) versus US males, and associations between group and cancer rates; these models estimated standardised incidence ratios (SIRs) and adjusted relative rates (RRs), respectively. Secondary analyses assessed surveillance bias and smoking history. RESULTS: We identified 915 cancer cases in 841 FDNY firefighters and 1002 cases in 909 CFHS firefighters. FDNY had: higher rates for all cancers (RR=1.13; 95% CI 1.02 to 1.25), prostate (RR=1.39; 95% CI 1.19 to 1.63) and thyroid cancer (RR=2.53; 95% CI 1.37 to 4.70); younger median ages at diagnosis (55.6 vs 59.4; p<0.001, all cancers); and more cases with localised disease when compared with CFHS. Compared with US males, both firefighter cohorts had elevated SIRs for prostate cancer and melanoma. Control for surveillance bias in FDNY reduced most differences. CONCLUSIONS: Excess cancers occurred in WTC-exposed firefighters relative to each comparison group, which may partially be explained by heightened surveillance. Two decades post-9/11, clearer understanding of WTC-related risk requires extended follow-up and modelling studies (laboratory or animal based) to identify workplace exposures in all firefighters.

OBJECTIVE Diabetes affects nearly 12.2% of U.S. adults. Comorbid depressive symptoms among U.S. workers with diabetes are associated with increased unemployment and reduced work performance. This study examined the age-group-specific prevalence of depression among U.S. workers with self-reported diabetes and identified factors associated with depression. METHODS Data from the 2014-2018 Behavioral Risk Factor Surveillance System were used to examine the prevalence of depression among adult workers with diabetes in the United States. Relationships between depression prevalence and diabetes and demographic, physical, and behavioral risk factors were examined through bivariate and multivariable analyses. Age was categorized into four groups: 18-34, 35-54, 55-64, and &gt;=65 years. RESULTS The overall prevalence of self-reported depression among U.S. workers with diabetes was 17.4%-30% higher than among those without diabetes. Workers with diabetes aged 18-34 years had the highest depression prevalence (28.7%) compared with other age-groups. Female workers with diabetes were significantly more likely than male workers to report depression in all age-groups. Young adult workers with diabetes who had another chronic disease were nearly three times more likely to report depression than those without another chronic condition. There were no overlapping patterns of prevalence of diabetes and depression by state. CONCLUSION Workers with diabetes are at an increased risk of depression, which can affect their overall health and productivity. These findings indicate that, among those with diabetes, young adult workers and women are most likely to have depression. Employee wellness programs may address the specific needs of individuals with diabetes and depression.

BACKGROUND AND OBJECTIVES: Hospital discharge records remain a common data source for tracking the opioid crisis among pregnant women and infants. The International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) transition from the International Classification of Diseases, Ninth Revision, Clinical Modification may have affected surveillance. Our aim was to evaluate this transition on rates of neonatal abstinence syndrome (NAS), maternal opioid use disorder (OUD), and opioid-related diagnoses (OUD with ICD-10-CM codes for long-term use of opioid analgesics and unspecified opioid use). METHODS: Data from the 2013-2017 Healthcare Cost and Utilization Project's National Inpatient Sample were used to conduct, interrupted time series analysis and log-binomial segmented regression to assess whether quarterly rates differed across the transition. RESULTS: From 2013 to 2017, an estimated 18.8 million birth and delivery hospitalizations were represented. The ICD-10-CM transition was not associated with NAS rates (rate ratio [RR]: 0.99; 95% confidence interval [CI]: 0.90-1.08; P = .79) but was associated with 11% lower OUD rates (RR: 0.89; 95% CI: 0.80-0.98; P = .02) and a decrease in the quarterly trend (RR: 0.98; 95% CI: 0.96-1.00; P = .04). The transition was not associated with maternal OUD plus long-term use rates (RR: 0.98; 95% CI: 0.89-1.09; P = .76) but was associated with a 20% overall increase in opioid-related diagnosis rates including long-term and unspecified use (RR: 1.20; 95% CI: 1.09-1.32; P < .001). CONCLUSIONS: The ICD-10-CM transition did not appear to affect NAS. However, coding of maternal OUD alone may not capture the same population across the transition, which confounds the interpretation of trend data spanning this time period.

BACKGROUND: Primary care providers (PCPs) provide a large proportion of care for people with epilepsy (PWE) and need regular training for updates. However, PCPs treat patients in so many therapeutic areas that epilepsy often becomes a less important concern. We used an established telementoring program, Project ECHO (Extension for Community Healthcare Outcomes), and combined epilepsy education with general neurology topics to generate more interest among PCPs. METHODS: We offered 20 one-hour webinar sessions over a two-year period, each consisting of a panel of neurology experts, with a combination of case presentations, a 20-minute didactic presentation, and live, interactive question and answer. Attendees logged in from their own computers or phones, and all presentations were archived online for future viewing. Interviews with PCPs indicated a combination of epilepsy and general neurology topics would be better received, so epilepsy topics alternated monthly with general neurology topics (e.g., headache, stroke, and dementia). Session evaluation included participants' comfort in treating patients with neurological disorders and confidence in knowledge of the topic area. RESULTS: After the second session, mean attendance was 27.5 participants (range 15-38), with a total of 164 unique individual participants. Attendees were a mix of mostly regional, some out of state, and a few international learners, including practicing PCPs, trainees, and nurse practitioners. Archived presentations on our website were viewed 212 times; seizure topics were the most viewed. Mean evaluation scores for relevance, value, and increased knowledge were all in the "agree to strongly agree" range. Over 97% of respondents reported greater interest in improving care of patients with epilepsy or neurological disorders, and over 98% reported greater comfort and self-efficacy when treating patients with these conditions. Only eight cases were submitted for review prior to the sessions. CONCLUSIONS: We successfully piloted a telementoring program using Project ECHO methodology, which was effective in educating PCPs about epilepsy treatment. Combining epilepsy and other neurology topics was an effective strategy in garnering interest among PCPs, but additional methods are needed to encourage participants to present their own cases.

BACKGROUND: The epidemiological features and outcomes of hospitalized adults with coronavirus disease 2019 (COVID-19) have been described; however, the temporal progression and medical complications of disease among hospitalized patients require further study. Detailed descriptions of the natural history of COVID-19 among hospitalized patients are paramount to optimize health care resource utilization, and the detection of different clinical phenotypes may allow tailored clinical management strategies. METHODS: This was a retrospective cohort study of 305 adult patients hospitalized with COVID-19 in 8 academic and community hospitals. Patient characteristics included demographics, comorbidities, medication use, medical complications, intensive care utilization, and longitudinal vital sign and laboratory test values. We examined laboratory and vital sign trends by mortality status and length of stay. To identify clinical phenotypes, we calculated Gower's dissimilarity matrix between each patient's clinical characteristics and clustered similar patients using the partitioning around medoids algorithm. RESULTS: One phenotype of 6 identified was characterized by high mortality (49%), older age, male sex, elevated inflammatory markers, high prevalence of cardiovascular disease, and shock. Patients with this severe phenotype had significantly elevated peak C-reactive protein creatinine, D-dimer, and white blood cell count and lower minimum lymphocyte count compared with other phenotypes (P < .01, all comparisons). CONCLUSIONS: Among a cohort of hospitalized adults, we identified a severe phenotype of COVID-19 based on the characteristics of its clinical course and poor prognosis. These findings need to be validated in other cohorts, as improved understanding of clinical phenotypes and risk factors for their development could help inform prognosis and tailored clinical management for COVID-19.

IMPORTANCE: Substantial increases in both neonatal abstinence syndrome (NAS) and maternal opioid use disorder have been observed through 2014. OBJECTIVE: To examine national and state variation in NAS and maternal opioid-related diagnoses (MOD) rates in 2017 and to describe national and state changes since 2010 in the US, which included expanded MOD codes (opioid use disorder plus long-term and unspecified use) implemented in International Classification of Disease, 10th Revision, Clinical Modification. DESIGN, SETTING, AND PARTICIPANTS: Repeated cross-sectional analysis of the 2010 to 2017 Healthcare Cost and Utilization Project's National Inpatient Sample and State Inpatient Databases, an all-payer compendium of hospital discharge records from community nonrehabilitation hospitals in 47 states and the District of Columbia. EXPOSURES: State and year. MAIN OUTCOMES AND MEASURES: NAS rate per 1000 birth hospitalizations and MOD rate per 1000 delivery hospitalizations. RESULTS: In 2017, there were 75 037 birth hospitalizations and 748 239 delivery hospitalizations in the national sample; 5375 newborns had NAS and 6065 women had MOD documented in the discharge record. Mean gestational age was 38.4 weeks and mean maternal age was 28.8 years. From 2010 to 2017, the estimated NAS rate significantly increased by 3.3 per 1000 birth hospitalizations (95% CI, 2.5-4.1), from 4.0 (95% CI, 3.3-4.7) to 7.3 (95% CI, 6.8-7.7). The estimated MOD rate significantly increased by 4.6 per 1000 delivery hospitalizations (95% CI, 3.9-5.4), from 3.5 (95% CI, 3.0-4.1) to 8.2 (95% CI, 7.7-8.7). Larger increases for MOD vs NAS rates occurred with new International Classification of Disease, 10th Revision, Clinical Modification codes in 2016. From a census of 47 state databases in 2017, NAS rates ranged from 1.3 per 1000 birth hospitalizations in Nebraska to 53.5 per 1000 birth hospitalizations in West Virginia, with Maine (31.4), Vermont (29.4), Delaware (24.2), and Kentucky (23.9) also exceeding 20 per 1000 birth hospitalizations, while MOD rates ranged from 1.7 per 1000 delivery hospitalizations in Nebraska to 47.3 per 1000 delivery hospitalizations in Vermont, with West Virginia (40.1), Maine (37.8), Delaware (24.3), and Kentucky (23.4) also exceeding 20 per 1000 delivery hospitalizations. From 2010 to 2017, NAS and MOD rates increased significantly for all states except Nebraska and Vermont, which only had MOD increases. CONCLUSIONS AND RELEVANCE: In the US from 2010 to 2017, estimated rates of NAS and MOD significantly increased nationally and for the majority of states, with notable state-level variation.

AIMS/HYPOTHESIS: Few studies examine the association between age at diagnosis and subsequent complications from type 2 diabetes. This paper aims to summarise the risk of mortality, macrovascular complications and microvascular complications associated with age at diagnosis of type 2 diabetes. METHODS: Data were sourced from MEDLINE and All EBM (Evidence Based Medicine) databases from inception to July 2018. Observational studies, investigating the effect of age at diabetes diagnosis on macrovascular and microvascular diabetes complications in adults with type 2 diabetes were selected according to pre-specified criteria. Two investigators independently extracted data and evaluated all studies. If data were not reported in a comparable format, data were obtained from authors, presented as minimally adjusted ORs (and 95% CIs) per 1 year increase in age at diabetes diagnosis, adjusted for current age for each outcome of interest. The study protocol was recorded with PROSPERO International Prospective Register of Systematic Reviews (CRD42016043593). RESULTS: Data from 26 observational studies comprising 1,325,493 individuals from 30 countries were included. Random-effects meta-analyses with inverse variance weighting were used to obtain the pooled ORs. Age at diabetes diagnosis was inversely associated with risk of all-cause mortality and macrovascular and microvascular disease (all p < 0.001). Each 1 year increase in age at diabetes diagnosis was associated with a 4%, 3% and 5% decreased risk of all-cause mortality, macrovascular disease and microvascular disease, respectively, adjusted for current age. The effects were consistent for the individual components of the composite outcomes (all p < 0.001). CONCLUSIONS/INTERPRETATION: Younger, rather than older, age at diabetes diagnosis was associated with higher risk of mortality and vascular disease. Early and sustained interventions to delay type 2 diabetes onset and improve blood glucose levels and cardiovascular risk profiles of those already diagnosed are essential to reduce morbidity and mortality. Graphical abstract.

BACKGROUND: Influenza burden estimates help provide evidence to support influenza prevention and control programs at local and international levels. METHODS: Through a systematic review, we aimed to identify all published articles estimating rates of influenza-associated hospitalizations, describe methods and data sources used, and identify regions of the world where estimates are still lacking. We evaluated study heterogeneity to determine if we could pool published rates to generate global estimates of influenza-associated hospitalization. RESULTS: We identified 98 published articles estimating influenza-associated hospitalization rates from 2007-2018. Most articles (65%) identified were from high-income countries, with 34 of those (53%) presenting estimates from the United States. While we identified fewer publications (18%) from low- and lower-middle-income countries, 50% of those were published from 2015-2018, suggesting an increase in publications from lower-income countries in recent years. Eighty percent (n = 78) used a multiplier approach. Regression modelling techniques were only used with data from upper-middle or high-income countries where hospital administrative data was available. We identified variability in the methods, case definitions, and data sources used, including 91 different age groups and 11 different categories of case definitions. Due to the high observed heterogeneity across articles (I(2) >99%), we were unable to pool published estimates. CONCLUSIONS: The variety of methods, data sources, and case definitions adapted locally suggests that the current literature cannot be synthesized to generate global estimates of influenza-associated hospitalization burden.

PURPOSE: The purpose of the study was to examine how gender was related to enrollment and number of sessions attended in the National Diabetes Prevention Program's Lifestyle Change Program (DPP LCP). METHODS: To better understand program uptake, a population of those who would be eligible for the LCP was compared to those who enrolled. Estimates of those eligible were computed using data from the National Health and Nutrition Examination Survey, whereas enrollment and sessions attended were computed using data from the Centers for Disease Control and Prevention's Diabetes Prevention Recognition Program. RESULTS: Results revealed that although similar numbers of males and females were eligible for the program, only 39 321 males versus 121 007 females had enrolled in the National DPP LCP by the end of 2017 (odds ratio = 3.20; 95% CI, 3.17-3.24). The gender differences persisted even when stratifying by age or race/ethnicity. In contrast, no significant gender differences were found between the average number of sessions attended for males (14.0) and females (13.8). DISCUSSION: Results of the study can help inform efforts to market and tailor programs to appeal more directly to men and other groups that are underrepresented in the National DPP LCP.

BACKGROUND: Coronavirus disease (COVID-19) can cause severe illness and death. Predictors of poor outcome collected on hospital admission may inform clinical and public health decisions. METHODS: We conducted a retrospective observational cohort investigation of 297 adults admitted to eight academic and community hospitals in Georgia, United States, during March 2020. Using standardized medical record abstraction, we collected data on predictors including admission demographics, underlying medical conditions, outpatient antihypertensive medications, recorded symptoms, vital signs, radiographic findings, and laboratory values. We used random forest models to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CI) for predictors of invasive mechanical ventilation (IMV) and death. RESULTS: Compared with age <45 years, ages 65-74 years and ≥75 years were predictors of IMV (aOR 3.12, CI 1.47-6.60; aOR 2.79, CI 1.23-6.33) and the strongest predictors for death (aOR 12.92, CI 3.26-51.25; aOR 18.06, CI 4.43-73.63). Comorbidities associated with death (aORs from 2.4 to 3.8, p <0.05) included end-stage renal disease, coronary artery disease, and neurologic disorders, but not pulmonary disease, immunocompromise, or hypertension. Pre-hospital use vs. non-use of angiotensin receptor blockers (aOR 2.02, CI 1.03-3.96) and dihydropyridine calcium channel blockers (aOR 1.91, CI 1.03-3.55) were associated with death. CONCLUSIONS: After adjustment for patient and clinical characteristics, older age was the strongest predictor of death, exceeding comorbidities, abnormal vital signs, and laboratory test abnormalities. That coronary artery disease, but not chronic lung disease, was associated with death among hospitalized patients warrants further investigation, as do associations between certain antihypertensive medications and death.

The Project to Learn About Youth-Mental Health (PLAY-MH; 2014-2018) is a school-based, two-stage study designed to estimate the prevalence of selected mental disorders among K-12 students in four U.S.-based sites (Colorado, Florida, Ohio, and South Carolina). In Stage 1, teachers completed validated screeners to determine student risk status for externalizing or internalizing problems or tics; the percentage of students identified as being at high risk ranged from 17.8% to 34.4%. In Stage 2, parents completed a structured diagnostic interview to determine whether their child met criteria for fourteen externalizing or internalizing disorders; weighted prevalence estimates of meeting criteria for any disorder were similar in three sites (14.8%-17.8%) and higher in Ohio (33.3%). PLAY-MH produced point-in-time estimates of mental disorders in K-12 students, which may be used to supplement estimates from other modes of mental disorder surveillance and inform mental health screening and healthcare and educational services.

SARS-CoV-2, the novel coronavirus that causes coronavirus disease 2019 (COVID-19), was first detected in the United States during January 2020 (1). Since then, >980,000 cases have been reported in the United States, including >55,000 associated deaths as of April 28, 2020 (2). Detailed data on demographic characteristics, underlying medical conditions, and clinical outcomes for persons hospitalized with COVID-19 are needed to inform prevention strategies and community-specific intervention messages. For this report, CDC, the Georgia Department of Public Health, and eight Georgia hospitals (seven in metropolitan Atlanta and one in southern Georgia) summarized medical record-abstracted data for hospitalized adult patients with laboratory-confirmed* COVID-19 who were admitted during March 2020. Among 305 hospitalized patients with COVID-19, 61.6% were aged <65 years, 50.5% were female, and 83.2% with known race/ethnicity were non-Hispanic black (black). Over a quarter of patients (26.2%) did not have conditions thought to put them at higher risk for severe disease, including being aged >/=65 years. The proportion of hospitalized patients who were black was higher than expected based on overall hospital admissions. In an adjusted time-to-event analysis, black patients were not more likely than were nonblack patients to receive invasive mechanical ventilation(dagger) (IMV) or to die during hospitalization (hazard ratio [HR] = 0.63; 95% confidence interval [CI] = 0.35-1.13). Given the overrepresentation of black patients within this hospitalized cohort, it is important for public health officials to ensure that prevention activities prioritize communities and racial/ethnic groups most affected by COVID-19. Clinicians and public officials should be aware that all adults, regardless of underlying conditions or age, are at risk for serious illness from COVID-19.

OBJECTIVES: In New York City, a multi-disciplinary Mass Casualty Consultation team is proposed to support prioritization of patients for coordinated inter-facility transfer after a large-scale mass casualty event. This study examines factors that influence consultation team prioritization decisions. METHODS: As part of a multi-hospital functional exercise, 2 teams prioritized the same set of 69 patient profiles. Prioritization decisions were compared between teams. Agreement between teams was assessed based on patient profile demographics and injury severity. An investigator interviewed team leaders to determine reasons for discordant transfer decisions. RESULTS: The 2 teams differed significantly in the total number of transfers recommended (49 vs 36; P = 0.003). However, there was substantial agreement when recommending transfer to burn centers, with 85.5% agreement and inter-rater reliability of 0.67 (confidence interval: 0.49-0.85). There was better agreement for patients with a higher acuity of injuries. Based on interviews, the most common reason for discordance was insider knowledge of the local community hospital and its capabilities. CONCLUSIONS: A multi-disciplinary Mass Casualty Consultation team was able to rapidly prioritize patients for coordinated secondary transfer using limited clinical information. Training for consultation teams should emphasize guidelines for transfer based on existing services at sending and receiving hospitals, as knowledge of local community hospital capabilities influence physician decision-making.

Objective: In occupational hearing conservation programmes, age adjustments may be used to subtract expected age effects. Adjustments used in the U.S. came from a small dataset and overlooked important demographic factors, ages, and stimulus frequencies. The present study derived a set of population-based age adjustment tables and validated them using a database of exposed workers.Design: Cross-sectional population-based study and retrospective longitudinal cohort study for validation.Study sample: Data from the U.S. National Health and Nutrition Examination Survey (unweighted n = 9937) were used to produce these tables. Male firefighters and emergency medical service workers (76,195 audiograms) were used for validation.Results: Cross-sectional trends implied less change with age than assumed in current U.S. regulations. Different trends were observed among people identifying with non-Hispanic Black race/ethnicity. Four age adjustment tables (age range: 18-85) were developed (women or men; non-Hispanic Black or other race/ethnicity). Validation outcomes showed that the population-based tables matched median longitudinal changes in hearing sensitivity well.Conclusions: These population-based tables provide a suitable replacement for those implemented in current U.S. regulations. These tables address a broader range of worker ages, account for differences in hearing sensitivity across race/ethnicity categories, and have been validated for men using longitudinal data.