National Vital Statistics System Research Articles

Association of Prepregnancy Cardiometabolic Factors With Gestational Diabetes Among Asian Populations in the United States

BackgroundAsian individuals are among the highest immigrant group to the United States and at particularly high risk of gestational diabetes, which is associated with long-term maternal cardiovascular disease. Limited data are available on the association of prepregnancy cardiometabolic risk factors with gestational diabetes among Asian American subjects. ObjectivesThis study sought to determine the association of prepregnancy hypertension and body mass index (BMI) among Asian ancestry subgroups and by maternal nativity. MethodsUsing data from the National Vital Statistics System from 2016 to 2019, the prevalence of gestational diabetes, stratified according to prepregnancy hypertension and obesity, was examined according to maternal race. Predicted probability of gestational diabetes with continuous BMI was calculated across Asian ancestry subgroups and by maternal nativity. ResultsAmong 13.3 million pregnancies, gestational diabetes occurred in 6.5%. Asian subjects had the highest prevalence (12.3%). Among those with prepregnancy hypertension, Asian subjects had the highest prevalence (29.3%). Across the range of BMI (18-42 kg/m2), Asian subjects had the highest predicted probability. There was substantial heterogeneity across Asian ancestry subgroups between the association of BMI with gestational diabetes, with highest probability among Japanese and Korean American subjects at BMI >23 kg/m2. Predicted probability of gestational diabetes was higher for mothers born outside the United States among all Asian subgroups, except for Japanese American subjects. ConclusionsAsian American individuals have the highest prevalence of gestational diabetes at any BMI and with hypertension. Substantial variation in risk is present across Asian subgroups. Findings suggest a need for more tailored screening and intervention for gestational diabetes among Asian American subjects, with a specific focus on risk for individuals born outside the United States.

Cardiovascular Disease Mortality Trends, 2010–2022: An Update with Final Data

IntroductionAge-adjusted mortality rates (AAMR) for cardiovascular diseases (CVD) increased in 2020 and 2021, and provisional data indicated an increase in 2022, resulting in substantial excess CVD deaths during the COVID-19 pandemic. Updated estimates using final data for 2022 are needed. MethodsThe National Vital Statistics System's final Multiple Cause of Death files were analyzed in 2024 to calculate AAMR from 2010 to 2022 and excess deaths from 2020 to 2022 for US adults aged ≥35 years, with CVD as the underlying cause of death. ResultsThe CVD AAMR among adults aged ≥35 years in 2022 was 434.6 deaths per 100,000 (95% CI: 433.8, 435.5), which was lower than in 2021 (451.8 deaths per 100,000; 95% CI: 450.9, 452.7). The most recent year with a similarly high CVD AAMR as in 2022 was 2012 (434.7 deaths per 100,000 population, 95% CI: 433.8, 435.7). The CVD AAMR for 2022 calculated using provisional data over-estimated the AAMR calculated using final data by 4.6% (95% CI: 4.3%, 4.9%) or 19.9 (95% CI: 18.6, 21.2) deaths per 100,000 population. From 2020 to 2022, an estimated 190,661 (95% CI: 158,139, 223,325) excess CVD deaths occurred. ConclusionsIn 2022, the CVD AAMR among adults aged ≥35 years did not increase, but rather declined from a peak in 2021, signaling improvements in adverse mortality trends that began in 2020, amid the COVID-19 pandemic. However, the 2022 CVD AAMR remains higher than observed before the COVID-19 pandemic, indicating an ongoing need for cardiovascular disease prevention, detection, and management.

Applying a Bayesian Spatiotemporal Model to Examine Excess County-Level Cardiovascular Disease Death Rates During the COVID-19 Pandemic.

Amid the COVID-19 pandemic, national cardiovascular disease (CVD) death rates increased, especially among younger adults. County-level variation has not been documented. Using county-level CVD deaths (ICD-10 codes: I00-I99) from the US National Vital Statistics System, we developed a Bayesian multivariate spatiotemporal model to estimate excess CVD death rates in 2020 based on trends from 2010-2019 for adults aged 35-64 and ≥65 years. Among adults aged 35-64 years, 64.7% of counties experienced significant excess CVD death rates. The median county-level CVD death rate in 2020 was 150 per 100,000 persons, which exceeded the predicted rate for 2020 (median excess death rate: 11 per 100,000; median excess rate ratio: 1.08). Among adults aged ≥65 years, 15.2% of counties experienced significant excess CVD death rates. The median county-level CVD death rate was 1,546 per 100,000 in 2020, which exceeded the predicted rate in 2020 (median excess death rate: 48 per 100,000, median excess rate ratio: 1.03). Counties with significant excess death rates in 2020 were geographically dispersed. In 2020, disruptions of county-level CVD death rates were widespread, especially among younger adults, suggesting the continued importance of CVD prevention and treatment in younger adults in communities across the country.

A closer examination of the "rural mortality penalty": Variability by race, region, and measurement.

Racial health disparities are well documented and pervasive across the United States. Evidence suggests there is a "rural mortality penalty" whereby rural residents experience poorer health outcomes than their urban counterparts. However, whether this penalty is uniform across demographic groups and U.S. regions is unknown. To assess how rural-urban differences in mortality differ by race (Black vs. White), U.S. region, poverty status, and how rural-urban status is measured. Age-standardized mortality rates (ASMRs)/100,000 by U.S. county (2015-2019) were obtained by race (Black/White) from the CDC Wonder National Vital Statistics System (2015-2019) and were merged with county-level social determinants from the US Census Bureau and County Health Rankings. Multivariable generalized linear models assessed the associations between rurality (index of relative rurality [IRR] decile, rural-urban continuum codes, and population density) and race-specific ASMR, overall, and by Census region and poverty level. Overall, average ASMR was significantly higher in rural areas than urban areas for both Black (rural ASMR = 949.1 per 100,000vs. urban ASMR = 857.7 per 100,000) and White (rural ASMR = 903.0 per 100,000vs. urban ASMR = 791.6 per 100,000) populations. The Black-White difference was substantially higher (p < 0.001) in urban than in rural counties (65.1 per 100,000vs. 46.1 per 100,000). Black-White differences and patterns in ASMR varied notably by poverty status and U.S. region. Policies and interventions designed to reduce racial health disparities should consider and address key contextual factors associated with geographic location, including rural-urban status and socioeconomic status.

Tobacco retailer density and its association with birth outcomes in the USA: 2000–2016

IntroductionSignificant progress has been made in reducing maternal exposure to tobacco smoke and subsequent adverse birth outcomes, however, reductions may require strategies that reduce the availability of tobacco retailers. In...

COVID-19 deaths in dental occupations and other healthcare occupations among U.S. decedents in 2020.

Early studies during the COVID-19 pandemic suggested dental occupations were among the highest risk for exposure to SARs-CoV-2 because of multiple factors increasing exposure, including close proximity to unmasked patients and performance of aerosol-generating procedures. However, to date, few studies have investigated COVID-19 deaths in United States dental occupations, and compared COVID-19 deaths among healthcare occupations. We analyzed 2020 mortality data collected by the National Center for Health Statistics' National Vital Statistics System. Multivariable logistic regression was used to generate odds ratios (ORs) and 95% confidence intervals for COVID-19 as the underlying cause of death in relation to occupation in working-age decedents (≤65 years), after adjusting for age, sex, race/ethnicity, education, and medical conditions associated with severe COVID-19. Dental occupations did not have significantly higher risk for COVID-19 death when compared to all other occupations combined. Among healthcare occupations with frequent, direct patient- or client interactions, LPNs and LVNs, and speech and language pathologists had significantly elevated adjusted ORs for COVID-19 death when compared to dentists, dental hygienists, or dental assistants. Similarly, nurse practitioners had significantly higher ORs for COVID-19 mortality than dentists or dental hygienists, and approached significance when compared to dental assistants. Conversely, massage therapists and other health diagnosing and treating practitioners had significantly lower adjusted ORs for COVID-19 death compared with dental occupations. Our study highlights potential differences in work-related transmission of SARs-CoV-2 and subsequent COVID-19 deaths in healthcare occupations, and furthers a previously limited understanding of COVID-19 deaths in healthcare occupations in 2020, before COVID-19 vaccine availability. Our results indicate that dental occupations were not among the highest, nor lowest risk, healthcare occupations for COVID-19 deaths in 2020, despite their known risks of direct exposure.

Mortality in the United States - Provisional Data, 2023.

Final annual mortality data from the National Vital Statistics System for a given year are typically released 11 months after the end of the calendar year. Provisional data, which are based on preliminary death certificate data, provide an early estimate of deaths before the release of final data. In 2023, a provisional total of 3,090,582 deaths occurred in the United States. The age-adjusted death rate per 100,000 population was 884.2 among males and 632.8 among females; the overall rate, 750.4, was 6.1% lower than in 2022 (798.8). The overall rate decreased for all age groups. Overall age-adjusted death rates in 2023 were lowest among non-Hispanic multiracial (352.1) and highest among non-Hispanic Black or African American persons (924.3). The leading causes of death were heart disease, cancer, and unintentional injury. The number of deaths from COVID-19 (76,446) was 68.9% lower than in 2022 (245,614). Provisional death estimates provide an early signal about shifts in mortality trends. Timely and actionable data can guide public health policies and interventions for populations experiencing higher mortality.

Trends in Drug Overdose Deaths by Intent and Drug Categories, United States, 1999‒2022.

Objectives. To examine trends in overdose deaths by intent and drug category to better understand the recent decrease in overdose suicides amid the overdose epidemic. Methods. We examined trends in rates of overdose deaths by intent (unintentional, suicide, or undetermined) across 9 drug categories from 1999 to 2022 using US National Vital Statistics System mortality data. Results. Unintentional overdoses involving synthetic opioids, polydrug toxicity involving synthetic opioids, psychostimulants, and cocaine increased exponentially with annual percentage changes ranging from 15.0% to 104.9% during 2010 to 2022. The death rates also increased for suicides involving these drugs, especially for psychostimulants (annual percentage change = 12.9% for 2010-2022; P < .001). However, these drugs accounted for relatively small percentages of overdose suicides. The leading drug categories among suicides were antidepressants, prescription opioids, and benzodiazepines, though these deaths have decreased or leveled off in recent years. Conclusions. Different drugs commonly involved in suicides and unintentional overdoses may contribute to their divergent trends. Public Health Implications. Amid the overdose epidemic, safe storage of medications remains a crucial strategy to prevent overdose suicides. The large increases in suicides involving psychostimulants warrant monitoring. (Am J Public Health. Published online ahead of print August 8, 2024:e1-e5. https://doi.org/10.2105/AJPH.2024.307745).

The Potential of Minimum Wage Increases to Reduce Youth Homicide Disparities: Diminishing Returns for Black Youth.

We examine and compare the relationship between minimum wage increases and youth homicide rates in three groups: all youth, White youth only, and Black youth only. Using 2001-2019 mortality data from the National Vital Statistics System (NVSS) for all 50 states and Washington DC, we apply a difference in differences (DD) design to compare the change in youth homicides across states with varying changes in the state-specific minimum wage. With the inclusion of state-specific linear time trends, we find that a $1 increase in minimum wage leads to a significant 4% reduction (RR = 0.96, 95%CI [0.92, 0.99]) in homicides among White youth, but no significant reduction among Black youth (RR = 0.98, 95%CI [0.91, 1.04]). Findings are consistent with research on marginalization-related diminished returns for Black youth. While minimum wage increases are a promising step to reduce youth homicides overall, reducing homicide disparities experienced by Black youth requires additional components. Future research should examine policies with the specific intention to dismantle structural racism.

Geospatial Demand for Approved Cleft Care in the United States.

Geographic information systems are powerful tools for characterizing the geospatial factors influencing access to care. As patients with cleft lip and/or palate (CL/P) require long-term care, with numerous operations and therapies, access to timely, quality care is extremely important. This study uses population level analysis and geographic information systems to identify United States counties with limited access to American Cleft Palate Association-approved cleft teams. Natality data were queried from the National Vital Statistics System. Population and geographic data were obtained from the US Census Bureau. The Social Vulnerability Index (SVI) was utilized to account for social inequality. Total births with CL/P, population estimates, SVI, distance to the nearest center, and total centers within 50 km were used to generate the cleft care demand index (CCDI). Ninety-two counties had CCDIs between 66.7 and 100. The highest scoring county, Hidalgo County, Texas, had 62 births with CL/P, population estimate of 888,367 persons, distance to the nearest cleft center of 368.4 km, and SVI of 0.99. This study demonstrates the power of geographic information systems for identifying areas with limited access to approved cleft teams. The CCDI measures cleft burden, socioeconomic disadvantage, and geographic barriers to quantify the demand for approved cleft care in each county. Utilizing these scores can help direct future interventions, outreach efforts, and cleft care center planning.

Mortality due to falls by county, age group, race, and ethnicity in the USA, 2000–19: a systematic analysis of health disparities

Fall-related mortality has increased rapidly over the past two decades in the USA, but the extent to which mortality varies across racial and ethnic populations, counties, and age groups is not well understood. The aim of this study was to estimate age-standardised mortality rates due to falls by racial and ethnic population, county, and age group over a 20-year period. Redistribution methods for insufficient cause of death codes and validated small-area estimation methods were applied to death registration data from the US National Vital Statistics System and population data from the US National Center for Health Statistics to estimate annual fall-related mortality. Estimates from 2000 to 2019 were stratified by county (n=3110) and five mutually exclusive racial and ethnic populations: American Indian or Alaska Native (AIAN), Asian or Pacific Islander (Asian), Black, Latino or Hispanic (Latino), and White. Estimates were corrected for misreporting of race and ethnicity on death certificates using published misclassification ratios. We masked (ie, did not display) estimates for county and racial and ethnic population combinations with a mean annual population of less than 1000. Age-standardised mortality is presented for all ages combined and for age groups 20-64 years (younger adults) and 65 years and older (older adults). Nationally, in 2019, the overall age-standardised fall-related mortality rate for the total population was 13·4 deaths per 100 000 population (95% uncertainty interval 13·3-13·6), an increase of 65·3% (61·9-68·8) from 8·1 deaths per 100 000 (8·0-8·3) in 2000, with the largest increases observed in older adults. Fall-related mortality at the national level was highest across all years in the AIAN population (in 2019, 15·9 deaths per 100 000 population [95% uncertainty interval 14·0-18·2]) and White population (14·8 deaths per 100 000 [14·6-15·0]), and was about half as high among the Latino (8·7 deaths per 100 000 [8·3-9·0]), Black (8·1 deaths per 100 000 [7·9-8·4]), and Asian (7·5 deaths per 100 000 [7·1-7·9]) populations. The disparities between racial and ethnic populations varied widely by age group, with mortality among younger adults highest for the AIAN population and mortality among older adults highest for the White population. The national-level patterns were observed broadly at the county level, although there was considerable spatial variation across ages and racial and ethnic populations. For younger adults, among almost all counties with unmasked estimates, there was higher mortality in the AIAN population than in all other racial and ethnic populations, while there were pockets of high mortality in the Latino population, particularly in the Mountain West region. For older adults, mortality was particularly high in the White population within clusters of counties across states including Florida, Minnesota, and Wisconsin. Age-standardised mortality due to falls increased over the study period for each racial and ethnic population and almost every county. Wide variation in mortality across geography, age, and race and ethnicity highlights areas and populations that might benefit most from efficacious fall prevention interventions as well as additional prevention research. US National Institutes of Health (Intramural Research Program, National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; Intramural Research Program, National Cancer Institute; National Institute on Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Office of Disease Prevention; and Office of Behavioral and Social Sciences Research).

Sociodemographic Trends and Perinatal Outcomes in Fathers 50 Years and Older

The age of fathers at childbirth is rising, with an increasing number of births attributed to older fathers. While the impact of advanced paternal age has been documented, sociodemographic data about fathers aged 50 years and older remain scarce. To explore sociodemographic and temporal trends among the oldest US fathers (age ≥50 years) and their associations with perinatal outcomes. This retrospective cross-sectional study included data from all US births from 2011 to 2022 using the National Vital Statistics System. Data were analyzed from August 2023 and May 2024. Reported paternal age at childbirth. Outcomes of interest were sociodemographic factors, temporal trends in older fatherhood, and perinatal outcomes, including preterm birth, low birth weight, gestational diabetes, gestational hypertension, assisted reproductive technology (ART), rates of maternal primiparity, and the infant sex ratio. From 2011 to 2022, the US recorded 46 195 453 births, with an overall mean (SD) paternal age of 31.5 (6.8) years and 484 507 (1.1%) involving fathers aged 50 years or older, 47 785 (0.1%) aged 60 years or older, and 3777 (0.008%) aged 70 years or older. Births to fathers aged 50 years or older increased from 1.1% in 2011 to 1.3% in 2022 (P for trend < .001). Fathers aged 50 years or older were more diverse, with variations in educational achievement and race and ethnicity. Marital status and maternal racial and ethnic and educational backgrounds also varied by paternal age and race. Despite controlling for maternal age and other sociodemographic and perinatal factors, every 10-year increase in paternal age was consistently associated with greater use of ART (eg, age 50-59 years: adjusted odds ratio [aOR], 2.23; 95% CI, 2.19-2.27), higher likelihood of first maternal birth (eg, age 50-59 years: aOR, 1.16; 95% CI, 1.15-1.17), and increased risks of preterm birth (eg, age 50-59 years: aOR, 1.16; 95% CI, 1.15-1.18) and low birth weight (eg, age 50-59 years: aOR, 1.14; 95% CI, 1.13-1.15) compared with fathers aged 30 to 39 years. No significant changes in the infant sex ratio were observed, except among fathers aged 70 years or older (aOR, 0.92; 95% CI, 0.86-0.99) and 75 years or older (aOR, 0.84; 95% CI, 0.73-0.97), who showed a decreased likelihood of having male offspring. In this cross-sectional study of all US births from 2011 to 2022, the percentage attributed to older fathers, while small, increased. Notable variations in paternal and maternal race and education were identified. Older fatherhood was associated with increased ART use, first-time maternal births, adverse perinatal outcomes, and altered sex ratio. Further research of this population is crucial for improving patient counseling and family planning.

Pediatric surgical border health: Supply may not be meeting demand in South Texas communities

IntroductionThe Rio Grande Valley (RGV) has historically high incidence of congenital defects (CDs) necessitating intervention by pediatric surgical specialties. We examined mortality in this region and related workforce patterns. MethodsMortality data related to CDs (2007–2021) and surgical workforce trends/projections (2024–2032) were collected using multiple databases: National Vital Statistics System, Texas Department of State Health Services, Texas Medical Board, Center for Disease Control. ResultsNationally, RGV counties rank as high as 5th in CD mortality rates. Between 2020 and 2024, 3 of 4 studied pediatric surgical specialties experienced stagnant/decreasing workforces ranging from 0 to 66 ​%. Furthermore, the RGV is projected to have some of the most marked state-wide disparities in surgical providers over the next 8 years. ConclusionHigh infant mortality rates along with ongoing and future shortages of surgical specialists is concerning. These results may inform allocation of public health resources and workforce distribution to improve outcomes.

State Policies Regulating Firearms and Changes in Firearm Mortality

Despite high social and public health costs of firearm violence in the United States, the effects of many policies designed to reduce firearm mortality remain uncertain. To estimate the individual and joint effect sizes of state firearm policies on firearm-related mortality. In this comparative effectiveness study, bayesian methods were used to model panel data of annual, state-level mortality rates (1979-2019) for all US firearm decedents, with analyses conducted in October 2023. Six classes of firearms policies: background checks, minimum age, waiting periods, child access, concealed carry, and stand-your-ground laws. Primary outcomes (total firearm deaths, firearm homicide deaths, and firearm suicide deaths) were assessed using the National Vital Statistics System. Bayesian estimation was used to estimate the partial association of changes in firearms policies with subsequent changes in firearm mortality. The estimated effect sizes of individual policies 5 or more years after implementation were generally small in magnitude and had considerable uncertainty. The policy class with the highest probability of reducing firearm deaths was child-access prevention laws, estimated to reduce overall firearm mortality by 6% (80% credible interval [CrI], -2% to -9%). The policy class with the highest probability of increasing firearm deaths was stand-your-ground laws, estimated to increase firearm homicides by 6% (80% CrI, 0% to 13% increase). Estimates of association of implementing multiple firearm restrictions with subsequent changes in firearm mortality yielded larger effect sizes. Moving from the most permissive to most restrictive set of firearm policies was associated with an estimated 20% reduction in firearm deaths (80% CrI, 10% to 28% reduction), with a 0.99 probability of any reductions in firearm death rates. In this comparative effectiveness study of state firearm policies, the joint effect estimates of combinations of firearm laws were calculated, showing that restrictive firearm policies were associated with substantial reductions in firearm mortality. Although policymakers would benefit from knowing the effects of individual policies, the estimated changes in firearm mortality following implementation of individual policies were often small and uncertain.

Mortality Surveillance for the COVID-19 Pandemic: Review of the Centers for Disease Control and Prevention's Multiple System Strategy.

Mortality surveillance systems can have limitations, including reporting delays, incomplete reporting, missing data, and insufficient detail on important risk or sociodemographic factors that can impact the accuracy of estimates of current trends, disease severity, and related disparities across subpopulations. The Centers for Disease Control and Prevention used multiple data systems during the COVID-19 emergency response-line-level case‒death surveillance, aggregate death surveillance, and the National Vital Statistics System-to collectively provide more comprehensive and timely information on COVID-19‒associated mortality necessary for informed decisions. This article will review in detail the line-level, aggregate, and National Vital Statistics System surveillance systems and the purpose and use of each. This retrospective review of the hybrid surveillance systems strategy may serve as an example for adaptive informational approaches needed over the course of future public health emergencies. (Am J Public Health. Published online ahead of print July 25, 2024:e1-e10. https://doi.org/10.2105/AJPH.2024.307743).

Changes in First and Second Births to U.S. Teenagers From 2000 to 2022.

This study examines trends in the numbers, percentages, and rates of first and second and higher-order births to teenagers younger than age 20 and for those ages 15-17 and 18-19 by race and Hispanic origin. Data for this analysis are from the National Vital Statistics System birth data files from 2000 and 2022. Analyses are limited to births to females younger than age 20. Changes in the numbers, percentages, and rates of total, first, and second and higher-order teen births from 2000 to 2022 were calculated for all teenagers and for non-Hispanic American Indian and Alaska Native, non-Hispanic Black, non-Hispanic White, and Hispanic teenagers. The number of first teen births declined 67% and the number of second and higher-order teen births declined 79%, while the population of female teenagers increased 7% from 2000 to 2022. The declines were greater for younger teenagers compared with older teenagers. First and second and higher-order teen birth rates declined 69% and 80%, respectively. Similar declines were found for each race and Hispanic-origin group. In 2000 and 2022, first and second and higher-order birth rates were lowest among White teenagers. First birth rates were highest among Hispanic teenagers in 2000 and for Hispanic and non-Hispanic American Indian and Alaska Native teenagers in 2022. In 2000, second and higher-order birth rates were highest for non-Hispanic Black and Hispanic teenagers; second and higher-order birth rates were more similar by race and Hispanic-origin group in 2022.

Racial and economic segregation and diabetes mortality in the USA, 2016–2020

BackgroundThe purpose of this study was to examine the association between racial and economic segregation and diabetes mortality among US counties from 2016 to 2020.MethodsWe conducted a cross-sectional ecological study...

The role of prescription opioid and cannabis supply policies on opioid overdose deaths.

Mandatory prescription drug monitoring programs and cannabis legalization have been hypothesized to reduce overdose deaths. We examined associations between prescription monitoring programs with access mandates ("must-query PDMPs"), legalization of medical and recreational cannabis supply, and opioid overdose deaths in United States counties in 2013-2020. Using data on overdose deaths from the National Vital Statistics System, we fit Bayesian spatiotemporal models to estimate risk differences and 95% credible intervals (CrI) in county-level opioid overdose deaths associated with enactment of these state policies. Must-query PDMPs were independently associated with on average 0.8 (95% CrI: 0.5, 1.0) additional opioid-involved overdose deaths per 100,000 person-years. Legal cannabis supply was not independently associated with opioid overdose deaths in this time period. Must-query PDMPs enacted in the presence of legal (medical or recreational) cannabis supply were associated with 0.7 (95% CrI: 0.4, 0.9) more opioid-involved deaths, relative to must-query PDMPs without any legal cannabis supply. In a time when overdoses are driven mostly by non-prescribed opioids, stricter opioid prescribing policies and more expansive cannabis legalization were not associated with reduced overdose death rates.

The Status of Asthma in the United States.

Asthma imposes a substantial health and economic burden on patients and their families and on the health care system. An assessment of the status of asthma in the US may lead to effective strategies to improve health and quality of life among people with asthma. The objective of our study was to assess the historical trends and current state of asthma illness and death among children and adults in the US. We assessed asthma-related emergency department visits and hospitalizations among children and adults by using data from the 2010-2021 National Health Interview Survey (NHIS), the 2010-2020 Nationwide Emergency Department Sample (NEDS), the National (Nationwide) Inpatient Sample (NIS), the Healthcare Cost and Utilization Project (HCUP), and the Agency for Healthcare Research and Quality (AHRQ). Asthma death rates were calculated by using 2010-2021 National Vital Statistics System data. Asthma prevalence increased significantly among adults from 2013 through 2021 (P = .04 for the annual percentage change [APC] slope) and decreased among children from 2010 through 2021 (P values for slopes: 2010-2017, P = .03; 2017-2021, P = .03). Prevalence of current asthma was higher among non-Hispanic Black people (children, 12.5%; adjusted prevalence ratio [APR] = 2.19; 95% CI, 1.68-2.84 and adults, 10.6%; APR = 1.25; 95% CI, 1.09-1.43) compared with non-Hispanic White people (children, 5.7%; adults, 8.2%). Prevalence of asthma attacks and use of asthma-related health care declined among adults and children. Asthma prevalence and asthma-related emergency department visits, hospitalization, and death rates differed by select characteristics. Although asthma attacks, ED visits, hospitalizations, and deaths have declined since 2010 among all ages, current asthma prevalence declined only among children, and significant disparities in health and health care use still exist.

Nasopharyngeal cancer mortality in disaggregated Asian and non-Asian Americans.

Nasopharyngeal carcinoma (NPC) mortality varies based on multiple risk factors. While NPC mortality is higher in Asia, little is known about Asian subgroups in the United States (US). Using the 2005-2020 National Vital Statistics System, we examined NPC mortality by age, race (non-Hispanic black, Hispanic white (HW), non-Hispanic white (NHW), Chinese, Filipino, Asian Indian, Japanese, Korean, Vietnamese), sex, and nativity (Untied States or foreign-born). Upon disaggregation, Chinese (1.96 [CI: 1.78-2.16]), Filipino (0.68 [0.68-1.11]), and Vietnamese Americans (0.68 [0.52-1.10]) had the top age-adjusted mortality rates (AAMR per 100 000 person-years). Foreign-born Chinese, Vietnamese, Filipinos, Asian Indians, and NHW had higher AAMRs compared to US-born persons. All male groups had higher AAMR compared to females. Stratifying for race, nativity, and sex, foreign-born Chinese males (4.09 [3.79-4.40]) had the highest AAMR. These findings demonstrate the importance of disaggregating NPC mortality data by Asian subgroups, providing valuable insights for targeted public health interventions in the United States.