Introduction: Motor-vehicle crash (MVC) deaths increased by a record 10% from 2020 to 2021 in the United States and disproportionately impacted persons of certain racial/ethnic groups. Methods: Mortality data from the National Vital Statistics System was used to describe MVC death rate trends during 2019–2022 by six racial/ethnic groups: non-Hispanic (NH) American Indian or Alaska Native (AIAN), NH Asian, NH Black, NH Native Hawaiian or Other Pacific Islander (NHOPI), NH White, and Hispanic. Age-adjusted death rates per 100,000 population, 95% confidence intervals (CIs), and annual percent change in rates were calculated. Results: Overall MVC death rates increased during 2019–2022, and rates were highest among NH AIAN and NH Black persons across all years. During 2019–2020, death rates increased the most among NH Black persons (+26.0%). During 2020–2021, rates increased among all racial/ethnic groups, with the greatest increase among NH NHOPI persons (+66.7%) and NH AIAN persons (+27.8%). Conclusions: These findings highlight stark differences by racial/ethnic group in MVC death rates and changes in these rates. Between 2019 and 2022, NH AIAN, NH Black, and NH NHOPI populations experienced the largest increases in MVC death rates, although there was large variation in rates and trends. Widespread adoption of a comprehensive suite of prevention strategies, such as the Safe System approach, while targeting subpopulations with the greatest burden of MVC deaths could reduce these differences and the overall burden of MVCs. Practical Applications: These findings show which subpopulations could experience the greatest impacts from transportation safety investments in reducing overall MVC death rates in the United States. © 2025

Road traffic deaths are preventable but remain a major public health problem. Crashes cause more than 40,000 deaths annually in the United States, and traffic-related pedestrian deaths have increased rapidly. To examine change in pedestrian and overall traffic death rates (deaths per 100,000 population) within an international context, CDC analyzed 2013-2022 data from the United States and 27 other high-income countries in the International Road Traffic and Accident Database, as well as early 2023 U.S. estimates. Between 2013 and 2022, U.S. pedestrian death rates increased 50% (from 1.55 to 2.33 per 100,000 population), while other countries generally experienced decreases (median decrease = 24.7%). During this period, overall U.S. traffic death rates increased 22.5% (from 10.41 to 12.76), but decreased by a median of 19.4% in 27 other high-income countries. Among all countries examined, the United States had the highest pedestrian death rates overall and among persons aged 15-24 and 25-64 years. Projected 2023 U.S. estimates suggest a potential decline in pedestrian (2%) and overall traffic (4%) deaths, compared with those in 2022. Accelerated adoption of a Safe System approach, focused on creating safer roadways and vehicles, establishing safer speeds, supporting safer road users, and improving post-crash care, can help reduce U.S. pedestrian and overall traffic deaths.

PURPOSE: Alzheimer's disease and related dementias (ADRD) are a significant public health concern characterized by memory decline that, over time, leads to loss of independence. This study reports ADRD diagnosis rates among Medicare beneficiaries aged ≥ 65 years in rural America. METHODS: We conducted a descriptive analysis of Medicare Fee-for-Service (FFS) and Medicare Advantage enrollees using administrative Medicare data from 2020. Combining data from Medicare FFS and Medicare Advantage produces a more complete and representative sample of older adults than previous studies that used FFS data alone. Nonmetropolitan counties were used to define rural. Rural ADRD diagnosis rates, stratified by age, sex, race/ethnicity, and Census region, were adjusted using the 2000 Census population standard. FINDINGS: The study population consisted of 54 million Medicare data Fee-for-Service (FFS) and Medicare Advantage enrollees aged ≥ 65; 5.3 million beneficiaries were diagnosed with ADRD, and 16.2% (n = 861,337) of beneficiaries diagnosed with ADRD resided in rural America. The age-adjusted ADRD diagnosis rate was slightly lower in rural America (9.6 per 100 beneficiaries) than in the United States (10.0 per 100 beneficiaries). The South Census region had the highest rural ADRD diagnosis rates. CONCLUSION: These findings underscore the need for targeted interventions and support mechanisms to address the growing burden of ADRD in rural communities.

BACKGROUND: Oral pre-exposure prophylaxis (PrEP) with emtricitabine/tenofovir disoproxil fumarate (F/TDF) has high efficacy against HIV-1 acquisition. Seventy-two prospective studies of daily oral F/TDF PrEP were conducted to evaluate HIV-1 incidence, drug resistance, adherence, and bone and renal safety in diverse settings. METHODS: HIV-1 incidence was calculated from incident HIV-1 diagnoses after PrEP initiation and within 60 days of discontinuation. Tenofovir concentrations in dried blood spots (DBS), drug resistance, and bone/renal safety indicators were evaluated in a subset of studies. RESULTS: Among 17 274 participants, there were 101 cases with new HIV-1 diagnosis (.77 per 100 person-years; 95% confidence interval [CI]: .63-.94). In 78 cases with resistance data, 18 (23%) had M184I or V, 1 (1.3%) had K65R, and 3 (3.8%) had both mutations. In 54 cases with tenofovir concentration data from DBS, 45 (83.3%), 2 (3.7%), 6 (11.1%), and 1 (1.9%) had average adherence of <2, 2-3, 4-6, and ≥7 doses/wk, respectively, and the corresponding incidence was 3.9 (95% CI: 2.9-5.3), .24 (.060-.95), .27 (.12-.60), and .054 (.008-.38) per 100 person-years. Adherence was low in younger participants, Hispanic/Latinx and Black participants, cisgender women, and transgender women. Bone and renal adverse event incidence rates were 0.69 and 11.8 per 100 person-years, respectively, consistent with previous reports. CONCLUSIONS: Leveraging the largest pooled analysis of global PrEP studies to date, we demonstrate that F/TDF is safe and highly effective, even with less than daily dosing, in diverse clinical settings, geographies, populations, and routes of HIV-1 exposure.

BACKGROUND: Alzheimer's disease is the most common type of dementia and is responsible for up to 80% of dementia diagnoses and is the sixth leading cause of death in the United States. An estimated 38,000 American Indian/Alaska Native (AI/AN) people aged ≥65 years were living with Alzheimer's disease and related dementias (ADRD) in 2020, a number expected to double by 2030 and quadruple by 2050. Administrative healthcare data from the Indian Health Service (IHS) were used to estimate ADRD among AI/AN populations. METHODS: Administrative IHS healthcare data from federal fiscal years 2016 to 2020 from the IHS National Data Warehouse were used to calculate the count and rate per 100,000 AI/AN adults aged ≥45 years with at least one ADRD diagnosis code on their medical record. RESULTS: This study identified 12,877 AI/AN adults aged ≥45 years with an ADRD diagnosis code, with an overall rate of 514 per 100,000. Of those, 1856 people were aged 45-64. Females were 1.2 times (95% confidence interval: 1.1-1.2) more likely than males to have a medical visit with an ADRD diagnosis code. CONCLUSIONS: Many AI/AN people with ADRD rely on IHS, tribal, and urban Indian health programs. The high burden of ADRD in AI/AN populations aged 45-64 utilizing IHS health services highlights the need for implementation of ADRD risk reduction strategies and assessment and diagnosis of ADRD in younger AI/AN populations. This study provides a baseline to assess future progress for efforts addressing ADRD in AI/AN communities.

PURPOSE: Cardiac rehabilitation (CR) improves patient outcomes and quality of life and can be provided virtually through hybrid CR. However, little is known about CR availability in conjunction with broadband access, a requirement for hybrid CR. This study examined the intersection of CR and broadband availability at the county level, nationwide. METHODS: Data were gathered and analyzed in 2022 from the 2019 American Community Survey, the Centers for Medicare & Medicaid Services, and the Federal Communications Commission. Spatially adaptive floating catchments were used to calculate county-level percent CR availability among Medicare fee-for-service beneficiaries. Counties were categorized: by CR availability, whether lowest (ie, CR deserts), medium, or highest; and by broadband availability, whether CR deserts with majority-available broadband, or dual deserts. Results were stratified by state. County-level characteristics were examined for statistical significance by CR availability category. RESULTS: Almost half of US adults (n = 116 325 976, 47.2%) lived in CR desert counties (1691 counties). Among adults in CR desert counties, 96.8% were in CR deserts with majority-available broadband (112 626 906). By state, the percentage of the adult population living in CR desert counties ranged from 3.2% (New Hampshire) to 100% (Hawaii and Washington, DC). Statistically significant differences in county CR availability existed by race/ethnicity, education, and income. CONCLUSIONS: Almost half of US adults live in CR deserts. Given that up to 97% of adults living in CR deserts may have broadband access, implementation of hybrid CR programs that include a telehealth component could expand CR availability to as many as 113 million US adults.

PROBLEM/CONDITION: A 2019 report quantified the higher percentage of potentially excess (preventable) deaths in U.S. nonmetropolitan areas compared with metropolitan areas during 2010-2017. In that report, CDC compared national, regional, and state estimates of preventable premature deaths from the five leading causes of death in nonmetropolitan and metropolitan counties during 2010-2017. This report provides estimates of preventable premature deaths for additional years (2010-2022). PERIOD COVERED: 2010-2022. DESCRIPTION OF SYSTEM: Mortality data for U.S. residents from the National Vital Statistics System were used to calculate preventable premature deaths from the five leading causes of death among persons aged <80 years. CDC's National Center for Health Statistics urban-rural classification scheme for counties was used to categorize the deaths according to the urban-rural county classification level of the decedent's county of residence (1: large central metropolitan [most urban], 2: large fringe metropolitan, 3: medium metropolitan, 4: small metropolitan, 5: micropolitan, and 6: noncore [most rural]). Preventable premature deaths were defined as deaths among persons aged <80 years that exceeded the number expected if the death rates for each cause in all states were equivalent to those in the benchmark states (i.e., the three states with the lowest rates). Preventable premature deaths were calculated separately for the six urban-rural county categories nationally, the 10 U.S. Department of Health and Human Services public health regions, and the 50 states and the District of Columbia. RESULTS: During 2010-2022, the percentage of preventable premature deaths among persons aged <80 years in the United States increased for unintentional injury (e.g., unintentional poisoning including drug overdose, unintentional motor vehicle traffic crash, unintentional drowning, and unintentional fall) and stroke, decreased for cancer and chronic lower respiratory disease (CLRD), and remained stable for heart disease. The percentages of preventable premature deaths from the five leading causes of death were higher in rural counties in all years during 2010-2022. When assessed by the six urban-rural county classifications, percentages of preventable premature deaths in the most rural counties (noncore) were consistently higher than in the most urban counties (large central metropolitan and fringe metropolitan) for the five leading causes of death during the study period.During 2010-2022, preventable premature deaths from heart disease increased most in noncore (+9.5%) and micropolitan counties (+9.1%) and decreased most in large central metropolitan counties (-10.2%). Preventable premature deaths from cancer decreased in all county categories, with the largest decreases in large central metropolitan and large fringe metropolitan counties (-100.0%; benchmark achieved in both county categories in 2019). In all county categories, preventable premature deaths from unintentional injury increased, with the largest increases occurring in large central metropolitan (+147.5%) and large fringe metropolitan (+97.5%) counties. Preventable premature deaths from CLRD decreased most in large central metropolitan counties where the benchmark was achieved in 2019 and increased slightly in noncore counties (+0.8%). In all county categories, preventable premature deaths from stroke decreased from 2010 to 2013, remained constant from 2013 to 2019, and then increased in 2020 at the start of the COVID-19 pandemic. Percentages of preventable premature deaths varied across states by urban-rural county classification during 2010-2022. INTERPRETATION: During 2010-2022, nonmetropolitan counties had higher percentages of preventable premature deaths from the five leading causes of death than did metropolitan counties nationwide, across public health regions, and in most states. The gap between the most rural and most urban counties for preventable premature deaths increased during 2010-2022 for four causes of death (cancer, heart disease, CLRD, and stroke) and decreased for unintentional injury. Urban and suburban counties (large central metropolitan, large fringe metropolitan, medium metropolitan, and small metropolitan) experienced increases in preventable premature deaths from unintentional injury during 2010-2022, leading to a narrower gap between the already high (approximately 69% in 2022) percentage of preventable premature deaths in noncore and micropolitan counties. Sharp increases in preventable premature deaths from unintentional injury, heart disease, and stroke were observed in 2020, whereas preventable premature deaths from CLRD and cancer continued to decline. CLRD deaths decreased during 2017-2020 but increased in 2022. An increase in the percentage of preventable premature deaths for multiple leading causes of death was observed in 2020 and was likely associated with COVID-19-related conditions that contributed to increased mortality from heart disease and stroke. PUBLIC HEALTH ACTION: Routine tracking of preventable premature deaths based on urban-rural county classification might enable public health departments to identify and monitor geographic disparities in health outcomes. These disparities might be related to different levels of access to health care, social determinants of health, and other risk factors. Identifying areas with a high prevalence of potentially preventable mortality might be informative for interventions.

The use of data analytics has seen widespread application in fields such as medicine and supply chain management, but their application in occupational safety has only recently become more common. The purpose of this scoping review was to summarize studies that employed analytics within establishments to reveal insights about work-related injuries or fatalities. Over 300 articles were reviewed to survey the objectives, scope and methods used in this emerging field. We conclude that the promise of analytics for providing actionable insights to address occupational safety concerns is still in its infancy. Our review shows that most articles were focused on method development and validation, including studies that tested novel methods or compared the utility of multiple methods. Many of the studies cited various challenges in overcoming barriers caused by inadequate or inefficient technical infrastructures and unsupportive data cultures that threaten the accuracy and quality of insights revealed by the analytics.

BACKGROUND: Adverse childhood experiences (ACEs) include forms of abuse, neglect, and household stressors that are potentially early life traumatic experiences. A summed integer count of ACEs is often used to examine cumulative childhood adversity (CCA) but has limitations. OBJECTIVES: The current study tests two additional methods for measuring CCA using large samples of youth in low- and middle-income countries. PARTICIPANTS AND SETTING: Pooled data were analyzed from a multi-country, nationally representative sample of youth aged 18-24 years (N = 11,498) who completed the Violence Against Children and Youth Surveys (VACS) in Lesotho, Cote d'Ivoire, Kenya, Namibia, and Mozambique. METHODS: ACE exposures included: physical, sexual, and emotional violence; witnessing interparental violence; witnessing community violence; orphanhood. CCA was operationalized using an ACE score, ACE impact (standardized regression coefficients from outcome severity), and ACE exposure context (household; intimate partner; peer; community). Associations between CCA with mental distress (MD) were examined by sex using p ≤ 0.05 as the significance level. RESULTS: Exposure to ≥3 ACEs was associated with MD (p < 0.05) for both sexes. Among females, all contexts contributed to MD except peer ACEs (p < 0.05). Among males, household and community ACEs contributed to MD. High-impact ACEs were associated with MD both sexes. ACE context was the best-fitting model for these data. CONCLUSIONS: The challenges operationalizing CCA warrant continued research to ensure adversity type, severity, and context lead to validly assessing ACEs impact on child wellbeing.

BACKGROUND: Parental absence in childhood has been associated with multiple negative consequences, such as depression and anxiety in young adulthood. OBJECTIVE: To assess whether parental absence for six months or more in childhood is associated with poor mental health and substance use in young adulthood and whether parental absence accounts for additional variance beyond those explained by other adverse childhood experiences (ACEs) among youth in sub-Saharan Africa. PARTICIPANTS AND SETTINGS: We used combined Violence Against Children and Youth Survey (VACS) data from Cote d'Ivoire (2018), Lesotho (2018), Kenya (2019), Namibia (2019), and Mozambique (2019). Analyses were restricted to 18-24-year-olds (n(f) = 7699; n(m) = 2482). METHODS: We used logistic regression to examine sex-stratified relationships between parental absence in childhood (defined as biological mother or father being away for six months or more before age 18) and mental health problems and substance use and whether parental absence explained additional variance beyond those explained by other ACEs. RESULTS: In sub-Saharan Africa, parental absence in childhood was common (30.5 % in females and 25.1 % in males), significantly associated with poor mental health and substance use among females and males and accounted for additional variance beyond those explained by conventional ACEs. For example, after controlling for study covariates and other ACEs, females who experienced any parental absence had 1.52 (95 % CI = 1.02-2.26) higher odds of experiencing moderate/serious psychological distress compared with those who did not. CONCLUSION: The observed association between parental absence and poor mental health suggests that this experience has significant adverse consequences and merits consideration as an ACE.

BACKGROUND: Adverse Childhood Experiences (ACEs) are associated with poor mental health outcomes and risk-taking behaviors. Positive childhood experiences (PCEs) may mitigate these negative impacts. OBJECTIVE: This study 1) assessed the associations between ACEs and negative health outcomes and risk-taking behaviors among young adults, and 2) evaluated whether - and which - PCEs moderate the association between ACEs and these outcomes in sub-Saharan Africa. METHODS: This multi-country analysis combined cross-sectional representative survey data from young adults, ages 18-24 years, from the 2019 Kenya, 2018 Lesotho, 2019 Mozambique, and 2019 Namibia Violence Against Children and Youth Surveys. The association between experiencing any ACEs and each health outcome was assessed using Wald's chi-square tests. Multivariable logistic regression analyses assessed the association between each PCE and each outcome of interest. RESULTS: Females who experienced any ACEs had higher odds of experiencing moderate to severe mental distress (aOR = 2.7, 95%CI: 1.9, 3.9). Males who experienced any ACEs had higher odds of experiencing suicidal/self-harm behaviors (aOR = 6.7, 95%CI: 2.8, 16.0) and substance use (aOR = 2.5, 95%CI: 1.4, 4.2). In females, strong mother-child relationship was protective against moderate to severe mental distress (aOR = 0.7, 95%CI: 0.6, 0.9), suicidal/self-harm behaviors (aOR = 0.6, 95%CI: 0.4, 0.9), and substance use (aOR = 0.6, 95%CI: 0.4, 0.9). For males, a strong mother-child relationship was protective against suicidal/self-harm behaviors (aOR = 0.5, 95%CI: 0.2, 0.9), and a strong father-child relationship was protective against suicidal/self-harm behaviors (aOR = 0.4, 95%CI: 0.2, 0.7) and substance use (aOR = 0.6, 95%CI: 0.4, 0.8). CONCLUSIONS: Strong parenting programs may likely play an important role in improving the psychosocial health of young adults.

BACKGROUND: Violence against boys and men is widely under-reported. Boys and men face unique and gendered barriers to accessing services following experiences of violence. PARTICIPANTS AND SETTING: The study is a secondary data analysis of five nationally representative population-based Violence Against Children and Youth Surveys (VACS) conducted in Kenya (2019), Côte d'Ivoire (2018), Lesotho (2018), Mozambique (2019), and Namibia (2019). Analysis was limited to males between 18 and 24 years who experienced lifetime physical or sexual violence. OBJECTIVE AND METHODS: We analyzed the association between positive and adverse childhood experiences (PCEs and ACEs), and seeking post-violence services among males using bivariate chi-squared tests and multivariable logistic regression. RESULTS: 8.02 % (5.55-10.50 %) of male victims between the ages of 18 and 24 sought services for any lifetime physical or sexual violence. Witnessing interparental violence and experiencing death of one or both parents were each associated with increased odds of having sought post-violence services (aOR 2.43; 95 % CI: 1.25-4.79; aOR 2.27; 95 % CI: 1.14-4.50), controlling for education, violence frequency, and violence type. High parental monitoring was associated with increased odds of service seeking (aOR 1.79; 95 % CI: 1.02-3.16), while strong father-child relationship was associated with lower odds (aOR 0.45; 95 % CI: 0.23-0.89). CONCLUSION: These findings contribute to limited research on service-seeking behaviors among men and boys. While some parent-youth relationship factors were associated with higher odds of service-seeking, the outcome remained rare. Age and gender-related barriers should be addressed where post-violence care services are offered.

BACKGROUND: The clinical burden of Long COVID, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and other post-infectious fatiguing illnesses (PIFI) is increasing. There is a critical need to advance understanding of the effectiveness and sustainability of innovative approaches to clinical care of patients having these conditions. METHODS: We aim to assess the effectiveness of a Long COVID and Fatiguing Illness Recovery Program (LC&FIRP) in a two-arm, single-blind, pragmatic, quality improvement, professional cluster, randomized controlled trial in which 20 consenting clinicians across primary care clinics in a Federally Qualified Health Center system in San Diego, CA, will be randomized at a ratio of 1:1 to either participate in (1) weekly multi-disciplinary team-based case consultation and peer-to-peer sharing of emerging best practices (i.e., teleECHO (Extension for Community Healthcare Outcomes)) with monthly interactive webinars and quarterly short courses or (2) monthly interactive webinars and quarterly short courses alone (a control group); 856 patients will be assigned to participating clinicians (42 patients per clinician). Patient outcomes will be evaluated according to the study arm of their respective clinicians. Quantitative and qualitative outcomes will be measured at 3- and 6-months post-baseline for clinicians and every 3-months post assignment to a participating clinician for patients. The primary patient outcome is change in physical function measured using the Patient-Reported Outcomes Measurement Information System (PROMIS)-29. Analyses of differences in outcomes at both the patient and clinician levels will include a linear mixed model to compare change in outcomes from baseline to each post-baseline assessment between the randomized study arms. A concurrent prospective cohort study will compare the LC&FIRP patient population to the population enrolled in a university health system. Longitudinal data analysis approaches will allow us to examine differences in outcomes between cohorts. DISCUSSION: We hypothesize that weekly teleECHO sessions with monthly interactive webinars and quarterly short courses will significantly improve clinician- and patient-level outcomes compared to the control group. This study will provide much needed evidence on the effectiveness of a technology-enabled multi-disciplinary team-based care model for the management of Long COVID, ME/CFS, and other PIFI within a federally qualified health center. TRIAL REGISTRATION: ClinicalTrials.gov, NCT05167227 . Registered on December 22, 2021.

PURPOSE: Providing inclusive and comprehensive gender-affirming care is critical to reducing health disparities (gaps in care) experienced by sexual and gender minorities (SGM). Currently, little is known about how medical students and residents are being trained to address the health needs of SGM persons or of the most effective methods. METHODS: We conducted a systematic review of the research literature from 2000 to 2020 on the effectiveness of teaching medical students and residents on knowledge, attitudes, and skills in addressing the health of SGM persons and the strength of the research sample, design, and methods used. RESULTS: We identified a total of 36 articles that assessed the impact of medical student and resident education on knowledge, comfort, attitudes, confidence, and skills in working with SGM patients. All studies utilized quasi-experimental designs, and found efficacious results. No study examined the impact of training on patient outcomes. CONCLUSION: Future studies will need to be powered and designed to assess the impact of training on patient outcomes.

Parasitic nematodes (roundworms) and platyhelminths (flatworms) cause debilitating chronic infections of humans and animals, decimate crop production and are a major impediment to socioeconomic development. Here we compare the genomes of 81 nematode and platyhelminth species, including those of 76 parasites. From 1.4 million genes, we identify gene family births and hundreds of large expanded gene families at key nodes in the phylogeny that are relevant to parasitism. Examples include gene families that modulate host immune responses, enable parasite migration though host tissues or allow the parasite to feed. We use a wide-ranging in silico screen to identify and prioritise new potential drug targets and compounds for testing. We also uncover lineage-specific differences in core metabolism and in protein families historically targeted for drug development. This is the broadest comparative study to date of the genomes of parasitic and non-parasitic worms. It provides a transformative new resource for the research community to understand and combat the diseases that parasitic worms cause.

As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.

BACKGROUND: There is limited information about the association between long-term leisure time physical activity (LTPA) participation and healthcare costs. The purpose of this study was to investigate the association between LTPA over adulthood with later life healthcare costs in the USA. METHODS: Using Medicare claims data (between 1999 and 2008) linked to the National Institutes of Health-American Association of Retired Persons (NIH-AARP) Diet and Health Study, we examined associations between nine trajectories of physical activity participation throughout adulthood with Medicare costs. RESULTS: Compared with adults who were consistently inactive from adolescence into middle age, average annual healthcare costs were significantly lower for maintainers, adults who maintained moderate (-US$1350 (95% CI: -US$2009 to -US$690) or -15.9% (95% CI: -23.6% to -8.1%)) or high physical activity levels (-US$1200 (95% CI: -US$1777 to -US$622) or -14.1% (95% CI: -20.9% to -7.3%)) and increasers, adults who increased physical activity levels in early adulthood (-US$1874 (95% CI: US$2691 to -US$1057) or -22.0% (95% CI: -31.6% to -12.4%)) or in middle age (-US$824 (95% CI: -US$1580 to -US$69 or -9.7% (95% CI -18.6% to -0.8%)). For the four trajectories where physical activity decreased, the only significant difference was for adults who increased physical activity levels during early adulthood with a decline in middle age (-US$861 (95% CI:-US$1678 to -US$45) or -10.1% (95% CI: -19.7% to -0.5%)). CONCLUSION: Our analyses suggest the healthcare cost burden in later life could be reduced through promotion efforts supporting physical activity participation throughout adulthood.

Gay, bisexual, and other men who have sex with men (GBMSM) are disproportionately affected by mental health problems and human immunodeficiency virus (HIV). Health navigation has the potential to improve both HIV and mental health outcomes; however, few studies have measured the impact of navigation on mental health among people living with HIV. We analyzed longitudinal data from a sociobehavioral survey and navigation monitoring system with GBMSM living with HIV in Guatemala (n = 346) that participated in a 12-month differentiated care intervention. We examined relationships between navigation characteristics (frequency, duration, mode of interactions, and level of emotional, instrumental, and informational navigation support) and anxiety and depression using fixed-effects regression. We also examined if these relationships were moderated by baseline social support. We found that as navigation interactions increased, anxiety significantly improved [B = -0.03, standard error (SE) = 0.01 p = 0.05]. Participants who received high levels of informational navigator support also experienced a significant improvement in anxiety compared with those receiving low levels of informational support (B = -0.81, SE = 0.40, p = 0.04). Unexpectedly, we found that as the proportion of in-person navigation interactions increased, anxiety worsened (B = 1.12, SE = 0.54, p = 0.04). No aspects of navigation were significantly associated with depression and baseline social support did not moderate the relationship between navigation and anxiety and depression. To improve the mental health of key populations affected by HIV, health navigation programs should prioritize frequent interaction and informational navigation support for clients with anxiety while considering other strategies that specifically target reducing depressive symptoms, including other cost-effective modalities, such as mobile apps.

Parasitic nematodes (roundworms) and platyhelminths (flatworms) cause debilitating chronic infections of humans and animals, decimate crop production and are a major impediment to socioeconomic development. Here we report a broad comparative study of 81 genomes of parasitic and non-parasitic worms. We have identified gene family births and hundreds of expanded gene families at key nodes in the phylogeny that are relevant to parasitism. Examples include gene families that modulate host immune responses, enable parasite migration though host tissues or allow the parasite to feed. We reveal extensive lineage-specific differences in core metabolism and protein families historically targeted for drug development. From an in silico screen, we have identified and prioritized new potential drug targets and compounds for testing. This comparative genomics resource provides a much-needed boost for the research community to understand and combat parasitic worms.

BACKGROUND: Taking fewer than the widely promoted "10 000 steps per day" has recently been associated with lower risk of all-cause mortality. The relationship of steps and cardiovascular disease (CVD) risk remains poorly described. A meta-analysis examining the dose-response relationship between steps per day and CVD can help inform clinical and public health guidelines. METHODS: Eight prospective studies (20 152 adults [ie, ≥18 years of age]) were included with device-measured steps and participants followed for CVD events. Studies quantified steps per day and CVD events were defined as fatal and nonfatal coronary heart disease, stroke, and heart failure. Cox proportional hazards regression analyses were completed using study-specific quartiles and hazard ratios (HR) and 95% CI were meta-analyzed with inverse-variance-weighted random effects models. RESULTS: The mean age of participants was 63.2±12.4 years and 52% were women. The mean follow-up was 6.2 years (123 209 person-years), with a total of 1523 CVD events (12.4 per 1000 participant-years) reported. There was a significant difference in the association of steps per day and CVD between older (ie, ≥60 years of age) and younger adults (ie, <60 years of age). For older adults, the HR for quartile 2 was 0.80 (95% CI, 0.69 to 0.93), 0.62 for quartile 3 (95% CI, 0.52 to 0.74), and 0.51 for quartile 4 (95% CI, 0.41 to 0.63) compared with the lowest quartile. For younger adults, the HR for quartile 2 was 0.79 (95% CI, 0.46 to 1.35), 0.90 for quartile 3 (95% CI, 0.64 to 1.25), and 0.95 for quartile 4 (95% CI, 0.61 to 1.48) compared with the lowest quartile. Restricted cubic splines demonstrated a nonlinear association whereby more steps were associated with decreased risk of CVD among older adults. CONCLUSIONS: For older adults, taking more daily steps was associated with a progressively decreased risk of CVD. Monitoring and promoting steps per day is a simple metric for clinician-patient communication and population health to reduce the risk of CVD.

BACKGROUND: The purpose was to assess COVID-19 beliefs and attitudes and examine COVID-19-related changes in sexual behavior of men who have sex with men during 3 time periods: April-July 2020 (T1), August-December 2020 (T2), January-May 2021 (T3). METHODS: Data were analyzed from 157 men who have sex with men in Ohio recruited to participate in a longitudinal multisite network study of syphilis epidemiology in 3 US cities: Columbus, Ohio; Baltimore, Maryland; and Chicago, Illinois. In April 2020, a COVID-19 module was appended to existing baseline and follow-up surveys to assess beliefs, attitudes, and changes in sexual behavior. Sample characteristics were summarized. Correlations between demographic variables (age, racial identity) and COVID-19 outcomes were examined. RESULTS: In response to COVID-19 social distancing restrictions and self-reported anxiety, some men limited sexual activity at T1, but the majority (n = 105 [67%]) continued to engage in sex. The number of men engaging in sex increased over time (T2: n = 124 [79%]; T3: n = 121 [77%]). At T1, men not in a relationship more frequently reported having less sex compared with prepandemic (n = 39 [57%]). By T3, men in a relationship more frequently reported less sex (n = 32 [54%]). Increased anxiety about sex and condom use was positively correlated with identifying as a man of color (P < 0.001). Most of the sample reported either starting or increasing online sexual activity during each time period. CONCLUSIONS: Future efforts to target sexual health during a pandemic or other health emergencies should prioritize men of color and address the unique perspective of both single and partnered men.

Background and ObjectivesThere have been numerous reports of neurologic manifestations identified in hospitalized patients infected with SARS-CoV-2, the virus that causes COVID-19. Here, we identify the spectrum of associated neurologic symptoms and diagnoses, define the time course of their development, and examine readmission rates and mortality risk posthospitalization in a multiethnic urban cohort.MethodsWe identify the occurrence of new neurologic diagnoses among patients with laboratory-confirmed SARS-CoV-2 infection in New York City. A retrospective cohort study was performed on 532 cases (hospitalized patients with new neurologic diagnoses within 6 weeks of positive SARS-CoV-2 laboratory results between March 1, 2020, and August 31, 2020). We compare demographic and clinical features of the 532 cases with 532 controls (hospitalized COVID-19 patients without neurologic diagnoses) in a case-control study with one-to-one matching and examine hospital-related data and outcomes of death and readmission up to 6 months after acute hospitalization in a secondary case-only analysis.ResultsAmong the 532 cases, the most common new neurologic diagnoses included encephalopathy (478, 89.8%), stroke (66, 12.4%), and seizures (38, 7.1%). In the case-control study, cases were more likely than controls to be male (58.6% vs 52.8%, p = 0.05), had baseline neurologic comorbidities (36.3% vs 13.0%, p < 0.0001), and were to be treated in an intensive care unit (62.0% vs 9.6%, p < 0.0001). Of the 394 (74.1%) cases who survived acute hospitalization, more than half (220 of 394, 55.8%) were readmitted within 6 months, with a mortality rate of 23.2% during readmission.DiscussionHospitalized patients with SARS-CoV-2 and new neurologic diagnoses have significant morbidity and mortality postdischarge. Further research is needed to define the effect of neurologic diagnoses during acute hospitalization on longitudinal post-COVID-19-related symptoms including neurocognitive impairment. © American Academy of Neurology.

Monkeypox virus (MPXV) is an orthopoxvirus in the Poxviridae family. The current multinational monkeypox outbreak has now spread to 96 countries that have not historically reported monkeypox, with most cases occurring among gay, bisexual, and other men who have sex with men (1,2). The first monkeypox case in the United States associated with this outbreak was identified in May 2022 in Massachusetts (1); monkeypox has now been reported in all 50 states, the District of Columbia (DC), and one U.S. territory. MPXV is transmitted by close contact with infected persons or animals; infection results in a febrile illness followed by a diffuse vesiculopustular rash and lymphadenopathy. However, illness in the MPXV current Clade II outbreak has differed: the febrile prodrome is frequently absent or mild, and the rash often involves genital, anal, or oral regions (3,4). Although neuroinvasive disease has been previously reported with MPXV infection (5,6), it appears to be rare. This report describes two cases of encephalomyelitis in patients with monkeypox disease that occurred during the current U.S. outbreak. Although neurologic complications of acute MPXV infections are rare, suspected cases should be reported to state, tribal, local, or territorial health departments to improve understanding of the range of clinical manifestations of and treatment options for MPXV infections during the current outbreak.

Physical activity is associated lower risk for a broad range of non-communicable diseases and early mortality, and even small changes in daily activity levels could have a profound effect on public health at the population level. The COVID-19 pandemic reshaped daily life for United States (US) adults resulting in reductions in physical activity early in the pandemic, but its longer-term effects on daily activities are unknown. To examine the longer-term impact of the pandemic on daily activity levels, we conducted a nationwide longitudinal study of 1,635 adults (20-75 years) in AmeriSpeak. Previous-day recalls of time-use, sedentary time, and physical activity were completed on randomly selected days in Fall 2019 (pre-pandemic) and Fall 2020. Overall, US adults reported less time in transportation (-0.47 hrs/d), more total discretionary time (0.40 hrs/d), but no changes in total sedentary time (0.10 hrs/d) or leisure-time physical activity (-0.06 hrs/d). Women reported significantly less total activity (-0.36 hrs/d) and participants with children < 13 yrs reported more sedentary time (0.60 to 0.82 hrs/d) and less moderate-to-vigorous intensity activity (-0.84 to -0.72 hrs/d). Adults without children reported no changes in sedentary time (0.02 hrs/d) or moderate-vigorous intensity activity (-0.06 hrs/d). Adults who started working from home reported no changes in physical activity, but they were among the most sedentary and least active population groups at both timepoints. Our findings describe the complex inter-play between competing behaviors as time-use demands have changed in response to the pandemic, particularly for adults with younger children. Many US adults are likely to continue working from home; therefore, implementation of evidence-based approaches to increase physical activity and reduce sedentary time in this growing population subgroup appears warranted.

As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases(1-3). SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing(4,5). Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.

This collection of articles in Preventing Chronic Disease (PCD) brings together scientists and practitioners from the breadth of public health and the social sciences to demonstrate how geospatial perspectives can contribute to understanding and addressing the intersection of chronic disease and COVID-19, a respiratory disease caused by the SARS-CoV-2 virus. The COVID-19 pandemic has affected chronic disease in many complex ways. Early in the pandemic, it became clear that people with chronic conditions and those in older age groups were at the highest risk for COVID-19 hospitalization and death (1–3). Racial and ethnic minority populations experienced disproportionately worse health outcomes (4). Pandemic-related disruptions to the health care system and individuals’ concerns about health care–related exposures affected chronic disease management: in-person visits for people with chronic conditions declined, supply chain disruptions led to shortages of medications, and the number of cancer screenings, treatments, and surgeries declined in the United States (5–7). More recent evidence suggests that COVID-19 may exacerbate existing chronic diseases and increase the risk of developing new chronic conditions, such as diabetes in adults (8,9), type 1 diabetes in children (10), neurological disorders (11), dementia (12), mental illness (13), and cardiovascular disease (14). In addition, an estimated one-half of COVID-19 survivors worldwide continue to have COVID-related health problems 6 months or more after recovery from the acute infection, making “long COVID” our newest and still largely unresearched chronic disease (15). Finally, social and economic inequities underlie disparities in incidence of both chronic diseases and COVID-19, an intersection that has been labeled a syndemic, defined as the “presence of 2 or more disease states that adversely interact with each other, negatively affecting the mutual course of each disease trajectory, enhancing vulnerability, and which are made more deleterious by experienced inequities” (16).

Local-level data on the health of populations are important to inform and drive effective and efficient actions to improve health, but such data are often expensive to collect and thus rare. Population Level Analysis and Community EStimates (PLACES) (www.cdc.gov/places/), a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation, and the CDC Foundation, provides model-based estimates for 29 measures among all counties and most incorporated and census-designated places, census tracts, and ZIP Code tabulation areas across the US. PLACES allows local health departments and others to better understand the burden and geographic distribution of chronic disease-related outcomes in their areas regardless of population size and urban-rural status and assists them in planning public health interventions. Online resources allow users to visually explore health estimates geographically, compare estimates, and download data for further use and exploration. By understanding the PLACES overall approach and using the easy-to-use PLACES applications, practitioners, policy makers, and others can enhance their efforts to improve public health, including informing prevention activities, programs, and policies; identifying priority health risk behaviors for action; prioritizing investments to areas with the biggest gaps or inequities; and establishing key health objectives to achieve community health and health equity.

BACKGROUND: Host-pathogen dynamics associated with HIV infection are quite distinct in children versus adults. We interrogated the functional fitness of the lymphocyte responses in two cohorts of perinatally infected HIV+ pediatric subjects with early anti-retroviral therapy (ART) initiation but divergent patterns of virologic control. We hypothesized that sub-optimal viral control would compromise immune functional fitness. METHODS: The immune responses in the two HIV+ cohorts (n = 6 in each cohort) were benchmarked against the responses measured in age-range matched, uninfected healthy control subjects (n = 11) by utilizing tests for normality, and comparison [the Kruskal-Wallis test, and the two-tailed Mann-Whitney U test (where appropriate)]. Lymphocyte responses were examined by intra-cellular cytokine secretion, degranulation assays as well as phosflow. A subset of these data were further queried by an automated clustering algorithm. Finally, we evaluated the humoral immune responses to four childhood vaccines in all three cohorts. RESULTS: We demonstrate that contrary to expectations pediatric HIV+ patients with sub-optimal viral control display no significant deficits in immune functional fitness. In fact, the patients that display better virologic control lack functional Gag-specific T cell responses and compared to healthy controls they display signaling deficits and an enrichment of mitogen-stimulated CD3 negative and positive lymphocyte clusters with suppressed cytokine production. CONCLUSIONS: These results highlight the immune resilience in HIV+ children on ART with sub-optimal viral control. With respect to HIV+ children on ART with better viral control, our data suggest that this cohort might potentially benefit from targeted interventions that might mitigate cell-mediated immune functional quiescence.

BACKGROUND: Although 10000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality. METHODS: In this meta-analysis, we identified studies investigating the effect of daily step count on all-cause mortality in adults (aged 18 years), via a previously published systematic review and expert knowledge of the field. We asked participating study investigators to process their participant-level data following a standardised protocol. The primary outcome was all-cause mortality collected from death certificates and country registries. We analysed the dose-response association of steps per day and stepping rate with all-cause mortality. We did Cox proportional hazards regression analyses using study-specific quartiles of steps per day and calculated hazard ratios (HRs) with inverse-variance weighted random effects models. FINDINGS: We identified 15 studies, of which seven were published and eight were unpublished, with study start dates between 1999 and 2018. The total sample included 47471 adults, among whom there were 3013 deaths (101 per 1000 participant-years) over a median follow-up of 71 years ([IQR 43-99]; total sum of follow-up across studies was 297837 person-years). Quartile median steps per day were 3553 for quartile 1, 5801 for quartile 2, 7842 for quartile 3, and 10901 for quartile 4. Compared with the lowest quartile, the adjusted HR for all-cause mortality was 060 (95% CI 051-071) for quartile 2, 055 (049-062) for quartile 3, and 047 (039-057) for quartile 4. Restricted cubic splines showed progressively decreasing risk of mortality among adults aged 60 years and older with increasing number of steps per day until 6000-8000 steps per day and among adults younger than 60 years until 8000-10000 steps per day. Adjusting for number of steps per day, comparing quartile 1 with quartile 4, the association between higher stepping rates and mortality was attenuated but remained significant for a peak of 30 min (HR 067 [95% CI 056-083]) and a peak of 60 min (067 [050-090]), but not significant for time (min per day) spent walking at 40 steps per min or faster (112 [096-132]) and 100 steps per min or faster (086 [058-128]). INTERPRETATION: Taking more steps per day was associated with a progressively lower risk of all-cause mortality, up to a level that varied by age. The findings from this meta-analysis can be used to inform step guidelines for public health promotion of physical activity. FUNDING: US Centers for Disease Control and Prevention.

This cohort study uses National Health and Nutrition Examination Survey data to estimate the number of deaths that could be prevented through increased physical activity among US adults.