American Indian Individuals Research Articles

Racial and Socioeconomic Health Disparities in Peripheral Artery Disease.

Peripheral artery disease (PAD) is a progressive atherosclerotic disease that causes lower extremity arterial stenosis or occlusion. Patients with PAD are at increased risk of myocardial infarction, stroke, limitations in ambulation, and amputation. Despite the advances in medicine and technology, the outcomes from PAD, including critical limb-threatening ischemia, acute limb ischemia amputation, and mortality, remain increased among specific racial and ethnic groups that have been historically marginalized in America, including Black, Hispanic, and American Indian individuals in the United States when compared with White persons. The purpose of this review is to summarize PAD literature that incorporates racial and ethnic disparities in PAD. There are a rising number of studies focused on the interface of racial and ethnic disparities and PAD. The majority of these studies are specifically focused on Black race, whereas there are limited studies focused on other minoritized racial and ethnic groups in the United States. The application of race and ethnicity has also been shown to play a synergistic role with socioeconomic status on PAD outcomes. Effective strategies focused on implementing policies that support quality measures and focus on social determinants of health have been shown to promote health equity and reduce disparities. Current evidence suggests that biological differences are less likely to be the leading cause of disparities in PAD between racial and ethnic groups compared with White Americans and supports a renewed focus on social determinants of health to achieve health equity.

Association of Prepregnancy Cardiometabolic Health With Hypertensive Disorders of Pregnancy Among Historically Underrepresented Groups in the United States.

Prepregnancy diabetes and obesity are associated with hypertensive disorders of pregnancy (HDPs). However, the proportion of cases of HDP in the population explained by diabetes and obesity (population attributable fraction), especially among American Indian and Alaska Native and Native Hawaiian and Other Pacific Islander, is not well characterized. We conducted a cross-sectional analysis of data on individuals with a live singleton birth from the US National Vital Statistics System between 2016 and 2019. We used adjusted logistic regression to estimate the prevalence odds ratios of HDPs and tested interaction for race and ethnicity. We calculated the population attributable fraction for the effect of obesity and diabetes on HDPs. Among 13 201 338 birthing individuals, (mean age, 29±6 years), 7% had HDP. The prevalence of HDP was highest among American Indian and Alaska Native individuals (9.1%). Prepregnancy diabetes (prevalence odds ratio, 2.63 [95% CI, 2.59-2.67]) and obesity (prevalence odds ratio, 2.95 [95% CI, 2.93-2.97]) were associated with HDPs. Compared with non-Hispanic White individuals, the association of diabetes with HDPs was strongest among Native Hawaiian and Other Pacific Islander (prevalence odds ratio, 3.05 [95% CI, 2.48-3.77]), and the association of obesity with HDP was strongest among Asian individuals (prevalence odds ratio, 3.44 [95% CI, 3.35-3.54]; all P for interaction <0.05). Population attributable fractions for diabetes and obesity were highest among Native Hawaiian and Other Pacific Islander individuals (diabetes, 3.7% [95% CI, 3.3%-4.0%]; and obesity, 45% [95% CI, 41.9%-47.8%]). Prepregnancy diabetes and obesity are associated with HDP across all racial and ethnic groups. Diabetes and obesity have highest population attributable fractions among Native Hawaiian and Other Pacific Islander individuals and should be aggressively targeted during childhood, adolescence, and young adulthood to reduce risk of HDPs.

Suicide Rates by Age and Time Among American Indian and Alaskan Native Veterans.

Although recent work has highlighted high rates of suicide among American Indian and Alaska Native individuals who served in the US military, to date, a comprehensive evaluation of age-specific suicide rates, over time, has yet to be conducted. Population-based retrospective cohort study. Average annual suicide rates (2005-2020) were computed. The cohort included 207,955 Native Veterans who were alive as of January 1, 2005, and separated from military service on or before December 31, 2020. Suicide was identified via National Death Index codes. Between 2005 and 2020, average annual, age-specific suicide rates among Native Veterans ranged from 16.32/100,000 (55+ y) to 64.49/100,000 (18-34y). Compared with other age-related cohorts, the rate among those in the youngest age cohort (18-34y) was the highest between 2005 and 2018. The 2019-2020 average annual rate for 18- to 34-year-olds (41.86/100,000) dropped below that of the middle-aged cohort (35-45y; 44.66/100,000). Across all age cohorts, firearms were the most used method of suicide [57.2% (18-34 and 35-54y) to 66.17% (55+y)]; however, a notable percentage of Veterans died by suffocation, 16.54% (55y and older), 26.71% (35-54y), and 33.21% (18-34y). Findings highlight differences in suicide rates by age groups overtime for Native Veterans irrespective of Veterans Health Administration use and across service eras, as well as means of suicide, which also differed across groups. Increased efforts are needed to identify culturally and age-relevant intervention strategies, as well as factors associated with risk, to reduce deaths among Native Veterans.

Assessing the validity of the American Indian Enculturation Scale in Alaska Native adults interested in reducing alcohol use

The American Indian Enculturation Scale (AIES) was developed for American Indian populations to measure connection to traditional culture, but it has not been evaluated in Alaska Native people. While American Indian and Alaska Native individuals are grouped together, significant differences exist between groups. As a part of a randomized controlled trial for contingency management to reduce alcohol use, 160 Alaska Native adults completed the AIES. The confirmatory factor analysis indicated that a one-factor, 15-item version of the AIES, removing items 1 and 2 and correlating items 8 and 10, was a reliable (15 items; α = 0.896) and valid measure in this sample (χ2 [89] = 155.788, p<.001; CFI = 0.903; TLI = 0.886; RMSEA = 0.068 [90% confidence interval {CI} 0.050–0.086]; p<.001; SRMR = 0.060). The study provides limited evidence of enculturation’s structural validity, as measured by the AIES, for Alaska Native adults. Future confirmatory work and potential adaptation is needed to evaluate the empirical utility of the AIES for Alaska Native individuals seeking help to reduce alcohol use.

Risk and Protective Factors for Preterm Birth Among Racial, Ethnic, and Socioeconomic Groups in California

Preterm birth (PTB) (gestational age <37 weeks) is a major cause of infant mortality and morbidity in the US and is marked by racial and ethnic and socioeconomic inequities. Further research is needed to elucidate the association of risk and protective factors with trends in PTB rates and with related inequities. To describe the association of PTB rates with inequities as well as related risk and protective factors over the past decade in a US population-based cohort. This retrospective cohort study of singleton live births in California from January 1, 2011, to December 31, 2022, was conducted using vital statistics records and hospital records. The cohort included births with a gestational age of 22 to 44 weeks. Preterm birth rates by racial and ethnic group and by public and nonpublic insurance (considered as a proxy for socioeconomic status) were studied across years. Log-linear regression (relative risks with 95% CIs) was used to evaluate risk and protective factors within groups. Associations of PTB rates with risk and protective factors were assessed. This study included 5 431 018 singleton live births to individuals who identified as American Indian or Alaska Native (0.3%), Asian (14.2%), Black (4.9%), Hispanic (47.8%), or White (27.0%). A total of 43.1% of births were to individuals with public health insurance. From 2011 to 2022, the overall PTB rate increased from 6.8% to 7.5% (change [SE], 10.6% [0.6%]; z score of 18.5; P < .001). Differences in PTB rates and associated changes were observed for racial and ethnic groups and insurance groups. For example, 2022 PTB rates ranged from 5.8% among White individuals with nonpublic insurance to 11.3% among Black individuals with public health insurance. From 2011 to 2022, PTB rates decreased from 9.1% to 8.8% (change [SE], -3.5% [4.2]; z score of -0.8; P = .42) among Black individuals with nonpublic insurance, whereas they increased from 6.4% to 9.5% (change [SE], 49.8% [16.0%]; z score of 3.1; P = .002) among American Indian or Alaska Native individuals with nonpublic insurance. Increases in some risk factors (eg, preexisting diabetes, sexually transmitted infections, mental health conditions) were observed in most groups, and decreases in some protective factors (eg, participation in the California Women, Infants, and Children program) (P for trend < .001 from 2011 to 2021) were observed mostly in low-income groups. In this cohort study of singleton live births in California, PTB rates increased in many groups. Persistent racial and ethnic and socioeconomic inequities were also observed. Changes in risk and protective factors provided clues to patterns of PTB. These data point to an urgent need to address factors associated with PTB at both the individual and population levels.

Dental anxiety and oral health in American Indian and Alaska natives.

American Indian and Alaska native (AI/AN) individuals report distrust of the healthcare system. This study explored associations between having either high levels of dental distrust or high levels of dental care-related fear and anxiety ("dental anxiety") and oral health outcomes in AI/AN adults. The 2022 State of Oral Health Equity in America survey included the Modified Dental Anxiety Scale and asked to what extent respondents agreed with the statement, "At my last oral health visit, I trusted the oral health provider I saw", and asked about self-rated oral health and presence of a dental home. AI/AN individuals (N = 564) who reported low dental trust (n = 110) or with high dental anxiety (MDAS≥19; n = 113) reported significantly worse overall and oral health and were significantly less likely to have a dental home (p < 0.05 used for each analysis). Dental distrust and dental anxiety can significantly impact oral health and dental utilization in AI/AN communities and are important intervention targets to improve AI/AN oral health.

Racial and ethnic disparities in severe maternal morbidity from pregnancy through 1-year postpartum

BACKGROUNDPrevious studies examining racial and ethnic disparities in severe maternal morbidity (SMM) have mainly focused on intrapartum hospitalization. There is limited information regarding the racial and ethnic distribution of SMM occurring in the antepartum and postpartum periods, including SMM occurring beyond the traditional 6 weeks postpartum period. OBJECTIVETo examine the racial and ethnic distribution of SMM during antepartum, intrapartum, and postpartum hospitalizations through 1-year postpartum, overall and stratified by maternal sociodemographic factors, and to estimate the percent increase in SMM by race and ethnicity and maternal sociodemographic factors within each racial and ethnic group after accounting for both antepartum and postpartum SMM through 1-year postpartum rather than just SMM occurring during the intrapartum hospitalization. STUDY DESIGNWe conducted a retrospective cohort study using birth and fetal death certificate data linked to hospital discharge records from Michigan, Oregon, and South Carolina from 2008–2020. We examined the distribution of non-transfusion SMM and total SMM per 10,000 cases during antepartum, intrapartum, and postpartum hospitalizations through 365 days postpartum by race and ethnicity and by maternal education and insurance type within each racial and ethnic group. We subsequently examined “SMM cases added” by race and ethnicity and by maternal education and insurance type within each racial and ethnic group. The “SMM cases added” represent cases among unique individuals that are identified by considering the antepartum and postpartum periods but that would be missed if only the intrapartum hospitalization cases were included. RESULTSAmong 2,584,206 birthing individuals, a total of 37,112 (1.4%) individuals experienced non-transfusion SMM and 64,661 (2.5%) experienced any SMM during antepartum, intrapartum, and/or postpartum hospitalization. Black individuals had the highest rate of antepartum, intrapartum, and postpartum non-transfusion and total SMM followed by American Indian individuals. Asian individuals had the lowest rate of non-transfusion and total SMM during antepartum and postpartum hospitalizations while White individuals had the lowest rate of non-transfusion and total SMM during the intrapartum hospitalization. Black individuals were 1.9 times more likely to experience non-transfusion SMM during the intrapartum hospitalization than White individuals, which increased to 2.8 times during the antepartum period and to 2.5 times during the postpartum period. Asian and Hispanic individuals were less likely to experience SMM in the postpartum period than White individuals. Including antepartum and postpartum hospitalizations resulted in disproportionately more cases among Black and American Indian individuals than among White, Hispanic, and Asian individuals. The additional cases were also more likely to occur among individuals with lower educational levels and individuals on government insurance. CONCLUSIONRacial disparities in SMM are underreported in estimates that focus on the intrapartum hospitalization. Additionally, individuals with low socio-economic status bear the greatest burden of SMM occurring during the antepartum and postpartum periods. Approaches that focus on mitigating SMM during the intrapartum period only do not address the full spectrum of health disparities.El resumen está disponible en Español al final del artículo.

Estimated Number of Children Who Lost a Parent to Drug Overdose in the US From 2011 to 2021

Parents' overdose death can have a profound short- and long-term impact on their children, yet little is known about the number of children who have lost a parent to drug overdose in the US. To estimate the number and rate of children who have lost a parent to drug overdose from 2011 to 2021 overall and by parental age, sex, and race and ethnicity. This was a cross-sectional study of US community-dwelling persons using data from the National Survey on Drug Use and Health (2010-2014 and 2015-2019) and the National Vital Statistics System (2011-2021). Data were analyzed from January to June 2023. Parental drug overdose death, stratified by age group, sex, and race and ethnicity. Numbers, rates, and average annual percentage change (AAPC) in rates of children losing a parent aged 18 to 64 years to drug overdose, overall and by age, sex, and race and ethnicity. From 2011 to 2021, 649 599 adults aged 18 to 64 years died from a drug overdose (mean [SD] age, 41.7 [12.0] years; 430 050 [66.2%] male and 219 549 [33.8%] female; 62 606 [9.6%] Hispanic, 6899 [1.1%] non-Hispanic American Indian or Alaska Native, 6133 [0.9%] non-Hispanic Asian or Pacific Islander, 82 313 [12.7%] non-Hispanic Black, 485 623 [74.8%] non-Hispanic White, and 6025 [0.9%] non-Hispanic with more than 1 race). Among these decedents, from 2011 to 2021, an estimated 321 566 (95% CI, 276 592-366 662) community-dwelling children lost a parent aged 18 to 64 years to drug overdose. The rate of community-dwelling children who lost a parent to drug overdose per 100 000 children increased from 27.0 per 100 000 in 2011 to 63.1 per 100 000 in 2021. The highest rates were found among children of non-Hispanic American Indian or Alaska Native individuals, who had a rate of 187.1 per 100 000 in 2021, more than double the rate among children of non-Hispanic White individuals (76.5 per 100 000) and non-Hispanic Black individuals (73.2 per 100 000). While rates increased consistently each year for all parental age, sex, and race and ethnicity groups, non-Hispanic Black parents aged 18 to 25 years had the largest AAPC (23.8%; 95% CI, 16.5-31.6). Rates increased for both fathers and mothers; however, more children overall lost fathers (estimated 192 459; 95% CI, 164 081-220 838) than mothers (estimated 129 107; 95% CI, 112 510-145 824). An estimated 321 566 children lost a parent to drug overdose in the US from 2011 to 2021, with significant disparities evident across racial and ethnic groups. Given the potential short- and long-term negative impact of parental loss, program and policy planning should ensure that responses to the overdose crisis account for the full burden of drug overdose on families and children, including addressing the economic, social, educational, and health care needs of children who have lost parents to overdose.

Methylation patterns associated with C-reactive protein in racially and ethnically diverse populations

ABSTRACT Systemic low-grade inflammation is a feature of chronic disease. C-reactive protein (CRP) is a common biomarker of inflammation and used as an indicator of disease risk; however, the role of inflammation in disease is not completely understood. Methylation is an epigenetic modification in the DNA which plays a pivotal role in gene expression. In this study we evaluated differential DNA methylation patterns associated with blood CRP level to elucidate biological pathways and genetic regulatory mechanisms to improve the understanding of chronic inflammation. The racially and ethnically diverse participants in this study were included as 50% White, 41% Black or African American, 7% Hispanic or Latino/a, and 2% Native Hawaiian, Asian American, American Indian, or Alaska Native (total n = 13,433) individuals. We replicated 113 CpG sites from 87 unique loci, of which five were novel (CADM3, NALCN, NLRC5, ZNF792, and cg03282312), across a discovery set of 1,150 CpG sites associated with CRP level (p < 1.2E–7). The downstream pathways affected by DNA methylation included the identification of IFI16 and IRF7 CpG-gene transcript pairs which contributed to the innate immune response gene enrichment pathway along with NLRC5, NOD2, and AIM2. Gene enrichment analysis also identified the nuclear factor-kappaB transcription pathway. Using two-sample Mendelian randomization (MR) we inferred methylation at three CpG sites as causal for CRP levels using both White and Black or African American MR instrument variables. Overall, we identified novel CpG sites and gene transcripts that could be valuable in understanding the specific cellular processes and pathogenic mechanisms involved in inflammation.

Abstract 68: The Association of Pre-Pregnancy Body Mass Index With Gestational Diabetes Across Maternal Race and Ethnicity Subgroups

Objective: Gestational diabetes mellitus (GDM) complicates 5-11% of pregnancies within the US and maternal obesity is a strong risk factor. Asian individuals are known to have a higher risk of GDM at a lower body mass index (BMI) compared to European populations. However, Asian Americans represent a heterogenous group, and no studies have captured the variation between BMI and GDM across racial groups at a national level. Our objective was to characterize differences in the association between BMI and GDM by maternal race/ethnicity with a specific focus on Asian subgroups. Methods: We used data from the National Vital Statistics System natality files from 2016 to 2019, capturing all live births in the US, to ascertain incidence of GDM. We used logistic regression with BMI modeled as a cubic b-spline to model the association with risk (predicted probability) of GDM. All analyses were stratified by maternal race/ethnic group. Results: Of the eligible 13.3M pregnancies resulting in live births, 6.5% were affected by GDM, ranging from 5.2% among non-Hispanic Black individuals to 12.3% among Asian individuals. The incidence of GDM was highest among women with obesity with rates of 20.3% in Asian individuals, and 16.0% in American Indian and Alaska Native individuals with obesity (Figure 1A). At a BMI of 23 kg/m2 the predicted probability of GDM was 6.5% for Asian individuals compared to 2.3% for non-Hispanic Black individuals (Figure 1B). There was substantial heterogeneity across Asian ancestry subgroups between pre-pregnancy obesity and GDM incidence (Figure 1C), with Vietnamese and Korean individuals having the largest increase in risk with higher pre-pregnancy BMI (Figure 1D). Conclusion: The risk of GDM increased with higher pre-pregnancy BMI across all maternal race/ethnicity groups, but risk was higher for Asian Americans at a lower BMI. There was substantial variation in BMI-related risk of GDM across Asian ancestry subgroups, suggesting need for more tailored screening and intervention strategies for GDM.

Employing biomolecular analyses and radiocarbon AMS chronologies to disentangle complex mortuary assemblages: Reinterpreting the Kane mortuary complex enigma in greater Cahokia

The acknowledged importance of documenting legacy assemblages led to efforts in the mid-1990s to re-examine such collections from Illinois. In some cases this involved applying traditional methods and emerging techniques to address complex questions of context, chronology, and aspects of identity for American Indian ancestral sites and individuals. These efforts included the Kane Mounds mortuary complex salvaged in the early 1960s and long interpreted as a late Mississippian mortuary area related to Cahokia. Drawing on available data from original field and analysis records, past biomolecular analysis, and combined with an evolving understanding of the people and culture history of the American Bottom, we use results from isotopic analyses and radiocarbon AMS chronologies obtained prior to 2018 to disentangle complex multicomponent mortuary settings. These studies revealed the mortuary importance of Kane spanned 1500 years, from as early as 500 BCE into the 14th century CE, a period that saw a major shift in diet with the increased consumption of maize and a population comprised of individuals local to the American Bottom and as well as immigrants. Available biomolecular information and radiocarbon AMS chronologies demonstrate both temporal and geographic diversity within the Kane mortuary complex, as well as continuity in the importance of this mortuary location.

Exploring the impact of therapeutic advances in HIV-related mortality in the United States

ObjectivesMortality from HIV has significantly declined with the introduction of highly active antiretroviral therapy (HAART). This study sought to examine the longitudinal trends in mortality from HIV-related diseases by race, sex, geographical region, and over time as HAART trends changed. MethodsWe queried the Centers for Disease Control and Prevention's Wide‐Ranging Online Data for Epidemiologic Research database and performed serial cross‐sectional analyses of national death certificate data for all-cause mortality with comorbid HIV from 1999 to 2020. HIV diseases (International Classification of Diseases, Tenth Revision codes B20-B24, O98.7, R75) were listed as the contributing cause of death. We calculated the age-adjusted mortality ratio (AAMR) per 1,000,000 individuals and determined mortality trends using the Joinpoint Regression Program. Subgroup analyses were performed by sex, race, region, and organ system. The study period was further stratified into three groups when specific drug regimens were more prevalent. ResultsIn the 22-year study period, 251,759 all-cause mortalities with comorbid HIV were identified. The leading cause of death was infectious disease (84.0%, N = 211,438). Men recorded a higher AAMR than women (4.66 vs 1.65, P < 0.01). African American individuals had the highest AAMR (13.46) compared to White, American Indian, and Asian individuals (1.70 vs 1.65 vs 0.47). The South region had the highest AAMR (4.32) and urban areas had a higher AAMR compared to rural areas (1.77 vs 0.88). ConclusionsMore than 80% of deaths occurred because of infectious disease over the last 2 decades with a decreasing trend over time when stratified by race, sex, and geographical region. Despite advances in HAART, mortality disparities persist which emphasizes the need for targeted interventions in these populations.

Sociodemographic Characteristics of Adverse Event Reporting in the USA: An Ecologic Study.

The Food and Drug Administration Adverse Event Reporting System (FAERS) is a vital source of new drug safety information, but whether adverse event (AE) information collected from these systems adequately captures experiences of the overall United States (US) population is unknown. To examine determinants of consumer AE reporting in the USA. Five-year AE reporting rate per 100,000 residents per US county were calculated, mapped, and quartiled for AE reports received directly from consumers between 2011 and 2015. Associations between county-level sociodemographic factors obtained from County Health Rankings and AE reporting rates were evaluated using negative binomial regression. Reporting rates were variable across US counties with >17.6 reports versus ≤5.5 reports/100,000 residents in the highest and lowest reporting quartile, respectively. Controlling for drug utilization, counties with higher reporting rates had higher proportions of individuals age ≥65 years (e.g., 2.4% reporting increase per 1% increase in individuals age >65, incidence rate ratio (IRR): 1.024, 95% confidence interval (CI): 1.017-1.030), higher proportions of females (IRR: 1.027, 95% CI 1.012-1.043), uninsured (IRR: 1.009, 95% CI 1.005-1.013), higher median log household incomes (IRR: 1.897, 95% CI 1.644-2.189) and more mental health providers per 100,000 residents (IRR: 1.003, 95% CI 1.001-1.004). Lower reporting was observed in counties with higher proportions of individuals age ≤18 years (IRR: 0.966, 95% CI 0.959-0.974), American Indian or Alaska Native individuals (IRR: 0.991, 95% CI 0.986-0.996), individuals not proficient in English (IRR: 0.978, 95% CI 0.965-0.991), and individuals residing in rural areas within a county (IRR: 0.998, 95% CI 0.997-0.998). Observed variations in consumer AE reporting may be related to sociodemographic factors and healthcare access. Because these factors may also correspond to AE susceptibility, voluntary AE reporting systems may be suboptimal for capturing emerging drug safety concerns among more vulnerable populations.

Plasma biomarkers of Alzheimer's disease and related dementias in American Indians: The Strong Heart Study.

Identification of Alzheimer's disease (AD) needs inexpensive, noninvasive biomarkers, with validation in all populations. We collected plasma markers in older American Indian individuals: phosphorylated-tau181 (pTau181); amyloid-beta (Aβ) 40,42; glial fibrillary acidic protein (GFAP); and neurofilament light chain (NfL). Plasma markers were analyzed for discriminant properties with cognitive status and etiology using receiver operating characteristic (ROC) analysis. PTau181, GFAP, NfL plasma values were significantly associated with cognition, but Aβ were not. Discriminant performance was moderate for individual markers, with pTau181, GFAP, NfL performing best, but an empirically selected panel of markers (age, sex, education, pTau181, GFAP, NfL, Aβ4240 ratio) had excellent discriminant performance (AUC>0.8). In American Indian individuals, pTau181 and Aβ values suggested more common pathology than in majority populations. Aβ was less informative than in other populations; however, all four markers were needed for a best-performing dementia diagnostic model. These data validate utility of AD plasma markers, while suggesting population-specific diagnostic characteristics.

Temporal Trends in Substance Use and Cardiovascular Disease-Related Mortality in the United States.

There are limited data on substance use (SU) and cardiovascular disease (CVD)-related mortality trends in the United States. We aimed to evaluate SU+CVD-related deaths in the United States using the Centers for Disease Control and Prevention Wide-Ranging, Online Data for Epidemiologic Research database. The Multiple Cause-of-Death Public Use record death certificates were used to identify deaths related to both SU and CVD. Crude, age-adjusted mortality rates, annual percent change, and average annual percent changes with a 95% CI were analyzed. Between 1999 and 2019, there were 636 572 SU+CVD-related deaths (75.6% men, 70.6% non-Hispanic White individuals, 65% related to alcohol). Age-adjusted mortality rates per 100 000 population were pronounced in men (22.5 [95% CI, 22.6-22.6]), American Indian or Alaska Native individuals (37.7 [95% CI, 37.0-38.4]), nonmetropolitan/rural areas (15.2 [95% CI, 15.1-15.3]), and alcohol-related death (9.09 [95% CI, 9.07 to 9.12]). The overall SU+CVD-related age-adjusted mortality rates increased from 9.9 (95% CI, 9.8-10.1) in 1999 to 21.4 (95% CI, 21.2-21.6) in 2019 with an average annual percent change of 4.0 (95% CI, 3.7-4.3). Increases in SU+CVD-related average annual percent change were noted across all subgroups and were pronounced among women (4.8% [95% CI, 4.5-5.1]), American Indian or Alaska Native individuals, younger individuals, nonmetropolitan areas, and cannabis and psychostimulant users. There was a prominent increase in SU+CVD-related mortality in the United States between 1999 and 2019. Women, non-Hispanic American Indian or Alaska Native individuals, younger individuals, nonmetropolitan area residents, and users of cannabis and psychostimulants had pronounced increases in SU+CVD mortality.

Short-Term Increases in NO2 and O3 Concentrations during Pregnancy and Stillbirth Risk in the U.S.: A Time-Stratified Case-Crossover Study.

Associations between gaseous pollutant exposure and stillbirth have focused on exposures averaged over trimesters or gestation. We investigated the association between short-term increases in nitrogen dioxide (NO2) and ozone (O3) concentrations and stillbirth risk among a national sample of 116 788 Medicaid enrollees from 2000 to 2014. A time-stratified case-crossover design was used to estimate distributed (lag 0-lag 6) and cumulative lag effects, which were adjusted for PM2.5 concentration and temperature. Effect modification by race/ethnicity and proximity to hydraulic fracturing (fracking) wells was assessed. Short-term increases in the NO2 and O3 concentrations were not associated with stillbirth in the overall sample. Among American Indian individuals (n = 1694), a 10 ppb increase in NO2 concentrations was associated with increased stillbirth odds at lag 0 (5.66%, 95%CI: [0.57%, 11.01%], p = 0.03) and lag 1 (4.08%, 95%CI: [0.22%, 8.09%], p = 0.04) but not lag 0-6 (7.12%, 95%CI: [-9.83%, 27.27%], p = 0.43). Among participants living in zip codes within 15 km of active fracking wells (n = 9486), a 10 ppb increase in NO2 concentration was associated with increased stillbirth odds in single-day lags (2.42%, 95%CI: [0.37%, 4.52%], p = 0.02 for lag 0 and 1.83%, 95%CI: [0.25%, 3.43%], p = 0.03 for lag 1) but not the cumulative lag (lag 0-6) (4.62%, 95%CI: [-2.75%, 12.55%], p = 0.22). Odds ratios were close to the null in zip codes distant from fracking wells. Future studies should investigate the role of air pollutants emitted from fracking and potential racial disparities in the relationship between short-term increases in NO2 concentrations and stillbirth.

Cleft lip and/or palate mortality trends in the USA: a retrospective population-based study

BackgroundCleft lip and/or palate (CL/P) is one of the most common congenital anomalies worldwide. Although CL/P management may require a series of interventions, mortality resulting from CL/P alone is rare....

Disparities in Screening for Adverse Childhood Experiences.

Screening for adverse childhood experiences (ACEs) in the clinical setting is set to become more commonplace with continued efforts to reimburse clinicians for screening. However, an examination of disparities in ACEs screening and related attitudes and beliefs is needed. Using the 2021 California Health Interview Survey (CHIS), this study examined if several measures of socioeconomic status, access to care and identities were associated with 3 outcomes: 1) getting screened for ACEs by a clinician; 2) beliefs about the importance of screening and 3) satisfaction with efforts to address the impacts of ACEs. Logistic regressions were used to estimate odds of the outcomes. Black, Latinx, and Asian individuals had lower odds of being screened for ACEs than non-Hispanic Whites. A recent doctor's visit, higher burden of ACEs, and serious psychological distress were associated with higher odds of being screened. Latinx individuals, women, bisexual individuals, those with a recent doctor's visit and those with serious psychological distress had higher odds of believing clinicians asking about ACEs was very important, relative to their counterparts. Latinx individuals, American Indian or Alaska native individuals, Asian individuals, those with higher educational attainment and those with serious psychological distress had lower odds of being very satisfied with providers' efforts to address the impact of ACEs, relative to their counterparts. Efforts to expand ACEs screening should consider the disparities in screening that currently exist. Given the wide-ranging impacts that ACEs have on health, an equitable approach to screening is necessary.

Analyzing the Reported Prevalence of Heart Disease among United States Adults: Trends from the National Center for Health Statistics Database

Objective This study aims to comprehensively analyze and elucidate the reported prevalence of heart disease among United States adults, utilizing data extracted from the National Center for Health Statistics database from 1999 to 2019. Methods We conducted a thorough analysis of the National Center for Health Statistics database to examine demographic and socioeconomic variables, such as age, gender, race, education, poverty level, geographic region, and metropolitan status, influencing heart disease prevalence among United States adults. The outcomes were concisely summarized using aggregate data from 1999-2019, delineating prevalence trends across all participants throughout these years. One-way Analysis of Variance was utilized for statistical analyses, assessing variations in heart disease prevalence across diverse demographic and socioeconomic categories. Results The study reported notable trends in age-specific prevalence, revealing distinct patterns across different age groups. The age-adjusted average reported heart disease prevalence for individuals aged 18 and over from 1999 to 2019 was 5.9%,. Within the 18-44 age group, prevalence started at 1.0% and increased notably across subsequent age brackets: 45-54 (4.3%), 55-64 (9.9%), 65-74 (16.8%), and 75 and older (24.4%). Adult men consistently had a higher prevalence (7.6%) than women (4.5%). Prevalence varied among racial groups, with the highest in American Indian or Alaska Native-only individuals (12.4%). Socioeconomic variables illustrated a robust association between lower educational attainment, poverty, and increased heart disease prevalence. Geographic and metropolitan status analyses unveiled significant regional and residential disparities in reported heart disease prevalence. Education-level analysis revealed a higher prevalence for lower education (9.1%) and a lower prevalence for higher education (6.1%). Significant differences were observed in each category (p &lt; 0.001). Conclusion This study highlights epidemiological patterns and reports heart disease prevalence, stressing the urgency for targeted interventions and preventative measures. Results underscore the importance of addressing temporal patterns, demographic inequalities, and geographic disparities through strategic public health efforts.

Comparison of Capture Rates of the National Cancer Database Across Race and Ethnicity

The National Cancer Database (NCDB) is an invaluable and widely used resource for cancer research, but the current state of representation of different racial and ethnic groups compared with the United States Cancer Statistics (USCS) database is unknown. To examine whether Hispanic and American Indian or Alaska Native individuals have lower representation in the NCDB compared with the USCS database. This multicenter, retrospective cohort study assessed individuals diagnosed with breast, colorectal, lung, and prostate cancer from January 1, 2004, to December 31, 2006, and January 1, 2017, to December 31, 2019, in the NCDB and USCS databases. Data analysis was performed from September 2022 to October 2023. Time. The primary outcome was the absolute percentage change (APC) in capture rate across the study period. The cohort included 5 175 007 individuals (0.50% American Indian or Alaska Native, 3.10% Asian or Pacific Islander, 12.01% Black, 6.58% Hispanic, and 77.81% White) who were diagnosed with breast, colorectal, lung, and prostate cancer. Capture rates were the lowest for individuals who were Hispanic (40.83% in 2004-2006 and 54.75% in 2017-2019; P < .001) or American Indian or Alaska Native (20.72% in 2004-2006 and 41.41% in 2017-2019; P < .001). The APCs were positive for both racial categories across all 4 cancers. However, overall APCs for Hispanic individuals (13.92%) remained lower than the overall APCs of White individuals (22.23%; P < .001). The APCs were greater for American Indian or Alaska Native individuals than for White individuals for prostate (14.68% vs 11.57%) and breast (21.61% vs 17.90%) cancer (P < .001), but the APCs for American Indian or Alaska Native individuals were lower than for White individuals for lung cancer (24.54% vs 33.03%; P < .001). In this cohort study of individuals diagnosed with cancer in the NCDB, Hispanic and American Indian or Alaska Native individuals diagnosed with breast, colorectal, lung, and prostate cancer were undercaptured in the NCDB, but their representation improved over time. Increased study is needed to determine where these populations predominantly seek cancer care.