County-Level Trends in Hypertension-Related Cardiovascular Disease Mortality-United States, 2000 to 2019.
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ABSTRACT:
SUBMITTER: Vaughan AS
PROVIDER: S-EPMC9075476 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background Although cardiovascular mortality (CVM) rates in the United States have been declining overall, our study evaluated whether this holds true for areas with increased social deprivation. Methods and Results We used county-level cross-sectional age-adjusted CVM rates (aa-CVM) (2000-2019) linked to the Centers for Disease Control and Prevention Social Vulnerability Index (SVI-2010). We grouped counties as per SVI (Groups I 0-0.2, II 0.21-0.4, III 0.41-0.6, IV 0.61-0.8, and V 0.81-1) and calculated the relative change in the aa-CVM between 2000 to 2003 and 2016 to 2019. We used adjusted linear regression analyses to explore the association between a higher SVI and temporal aa-CVM improvement; we studied this temporal change in aa-CVM across subgroups of race, sex, and location. The median aa-CVM rate (per 100 000) was 272.6 (interquartile range [IQR]: 237.5-311.7). The aa-CVM was higher in men (315.6 [IQR: 273.4-363.9]) than women (221.3 [IQR: 189.6-256.7]), and in Black residents (347.2 [IQR: 301.1-391.1]; P<0.001) than White residents (258.9 [IQR: 226-299.1]; P<0.001). The aa-CVM for SVI I (233.6 [IQR: 214.8-257.0]) was significantly lower than that of group V (323.6 [IQR: 277.2-359.2]; P<0.001). The relative reduction in CVM was significantly higher for SVI group I (32.2% [IQR: 24.2-38.4]) than group V (27.2% [IQR: 19-34.1]) counties. After multivariable adjustment, a higher SVI index was associated with lower relative improvement in the age-adjusted CVM (model coefficient -3.11 [95% CI, -5.66 to -1.22]; P<0.001). Conclusions Socially deprived counties in the United States had higher aa-CVM rates, and the improvement in aa-CVM over the past 20 years was lower in these counties.
| S-EPMC10757513 | biostudies-literature
Project description:PurposePulmonary hypertension (PH) is a heterogenous, often progressive disorder leading to right heart failure and death. Previous analyses show stable PH mortality rates from 1980 to 2001 but increasing from 2001 to 2010 especially among women and non-Hispanic (NH) Black. This study seeks to identify recent trends in PH mortality in the United States from 1999 to 2019.MethodsMortality rates among individuals more than or equal to 15 years of age were obtained from the Centers for Disease Control and Prevention's (CDC) Wide-Ranging Online Data for Epidemiology Research (WONDER) database. ICD-10 codes were used to identify individuals with PH.ResultsBetween 1999 and 2019, PH was included as a cause on 429,105 recorded deaths. The average age-adjusted PH mortality rate was 7.9 per 100,000 individuals and increased by 1.9% per year. Higher age-adjusted mortality rates were experienced by females and NH Black persons. The crude mortality rate was 105.4 per 100,000 among those decedents 85 or older. From 1999 to 2019, mortality in PH and left heart disease co-occurrence increased at nearly double the annual rate of the overall PH group.ConclusionsDespite therapeutic advances for selected PH subgroups, the overall age-adjusted PH mortality rate increased significantly from 1999 to 2019 and previously reported racial disparities have persisted. These findings emphasize the need for additional study to improve outcomes in PH.
| S-EPMC9709717 | biostudies-literature
Project description:BackgroundAccording to the Sustainable Development Goals (SDGs), countries are required to reduce the mortality rates of four main non-communicable diseases (NCDs), including cardiovascular diseases (CVDs), diabetes mellitus (DM), chronic respiratory diseases (CRDs), and cancer (CA), by one-third in 2030 from the 2015 level. However, progress fell short of expectations, partly attributed to the high rates of hypertension-related NCD mortality. This study aimed to investigate the mortality trends of SDG-targeted NCDs with comorbid hypertension. In addition, the disparities in mortality rates among different demographic subgroups were further explored.MethodsMortality data from 2000 to 2019 were acquired from the Centers for Disease Control and Prevention in the United States. SDG-targeted NCDs were considered the underlying causes of death, and hypertension was considered a multiple cause of death. Permutation tests were performed to determine the time points of Joinpoints for mortality trends. The annual percent changes and average annual percent changes (AAPCs), as well as 95% confidence intervals (CIs), were calculated to demonstrate the temporary trend of mortality rates overall and by age, sex, ethnicity, and region.ResultsThe hypertension-related DM, CRD, and CA mortality rates increased over the 20 years, of which the AAPCs were 2.0% (95% CI: 1.4%, 2.6%), 3.2% (95% CI: 2.8%, 3.6%), and 2.1% (95% CI: 1.6%, 2.6%), respectively. Moreover, despite decreasing between 2005 and 2015, the hypertension-related CVD mortality rate increased from 2015 to 2019 [APC: 1.3% (95% CI: 0.7%, 1.9%)]. The increased trends were consistent across most age groups. Mortality rates among men were higher and increased faster than those among women. The hypertension-related CVD, DM, and CA mortality rates among African American people were higher than those among White people. The increased mortality rates in rural areas, especially in rural south, were higher than those in urban areas.ConclusionIn the United States, the hypertension-related DM, CRD, and CA mortality rates increased between 2000 and 2019, as well as hypertension-related CVD mortality between 2015 and 2019. Disparities existed among different sexes, ethnicities, and areas. Actions to prevent and manage hypertension among patients with NCDs are required to reduce the high mortality rates and minimize disparities.
| S-EPMC9309719 | biostudies-literature
Project description:Background and aimsSince 2013, the national hepatitis C virus (HCV) death rate has steadily declined, but this decline has not been quantified or described on a local level.Approach and resultsWe estimated county-level HCV death rates and assessed trends in HCV mortality from 2005 to 2013 and from 2013 to 2017. We used mortality data from the National Vital Statistics System and used a Bayesian multivariate space-time conditional autoregressive model to estimate age-standardized HCV death rates from 2005 through 2017 for 3,115 U.S. counties. Additionally, we estimated county-level, age-standardized rates for persons <40 and 40+ years of age. We used log-linear regression models to estimate the average annual percent change in HCV mortality during periods of interest and compared county-level trends with national trends. Nationally, the age-adjusted HCV death rate peaked in 2013 at 5.20 HCV deaths per 100,000 persons (95% credible interval [CI], 5.12, 5.26) before decreasing to 4.34 per 100,000 persons (95% CI, 4.28, 4.41) in 2017 (average annual percent change = -4.69; 95% CI, -5.01, -4.33). County-level rates revealed heterogeneity in HCV mortality (2017 median rate = 3.6; interdecile range, 2.19, 6.77), with the highest rates being concentrated in the West, Southwest, Appalachia, and northern Florida. Between 2013 and 2017, HCV mortality decreased in 80.0% (n = 2,274) of all U.S. counties with a reliable trend estimate, with 25.8% (n = 803) of all counties experiencing a decrease larger than the national decline.ConclusionsAlthough many counties have experienced a shift in HCV mortality trends since 2013, the magnitude and composition of that shift have varied by place. These data provide a better understanding of geographic differences in HCV mortality and can be used by local jurisdictions to evaluate HCV mortality in their areas relative to surrounding areas and the nation.
| S-EPMC8456961 | biostudies-literature
Project description:BackgroundCounties are the smallest unit for which mortality data are routinely available, allowing consistent and comparable long-term analysis of trends in health disparities. Average life expectancy has steadily increased in the United States but there is limited information on long-term mortality trends in the US counties This study aimed to investigate trends in county mortality and cross-county mortality disparities, including the contributions of specific diseases to county level mortality trends.Methods and findingsWe used mortality statistics (from the National Center for Health Statistics [NCHS]) and population (from the US Census) to estimate sex-specific life expectancy for US counties for every year between 1961 and 1999. Data for analyses in subsequent years were not provided to us by the NCHS. We calculated different metrics of cross-county mortality disparity, and also grouped counties on the basis of whether their mortality changed favorably or unfavorably relative to the national average. We estimated the probability of death from specific diseases for counties with above- or below-average mortality performance. We simulated the effect of cross-county migration on each county's life expectancy using a time-based simulation model. Between 1961 and 1999, the standard deviation (SD) of life expectancy across US counties was at its lowest in 1983, at 1.9 and 1.4 y for men and women, respectively. Cross-county life expectancy SD increased to 2.3 and 1.7 y in 1999. Between 1961 and 1983 no counties had a statistically significant increase in mortality; the major cause of mortality decline for both sexes was reduction in cardiovascular mortality. From 1983 to 1999, life expectancy declined significantly in 11 counties for men (by 1.3 y) and in 180 counties for women (by 1.3 y); another 48 (men) and 783 (women) counties had nonsignificant life expectancy decline. Life expectancy decline in both sexes was caused by increased mortality from lung cancer, chronic obstructive pulmonary disease (COPD), diabetes, and a range of other noncommunicable diseases, which were no longer compensated for by the decline in cardiovascular mortality. Higher HIV/AIDS and homicide deaths also contributed substantially to life expectancy decline for men, but not for women. Alternative specifications of the effects of migration showed that the rise in cross-county life expectancy SD was unlikely to be caused by migration.ConclusionsThere was a steady increase in mortality inequality across the US counties between 1983 and 1999, resulting from stagnation or increase in mortality among the worst-off segment of the population. Female mortality increased in a large number of counties, primarily because of chronic diseases related to smoking, overweight and obesity, and high blood pressure.
| S-EPMC2323303 | biostudies-literature
Project description:There are few data on the epidemiology of pulmonary hypertension (PH)-related hospitalizations in children in the United States. Our aim was to determine hospital mortality, length of hospitalization, and hospital charges pertaining to PH-related hospitalizations and also the effects of codiagnoses and comorbidities. A retrospective review of the Kids' Inpatient Database during the years 2000, 2003, 2006, and 2009 was analyzed for patients ≤20 years of age with a diagnosis of PH by ICD-9 (International Classification of Diseases, Ninth Revision) codes, along with associated diagnoses and comorbidities. Descriptive statistics, including Rao-Scott χ(2), ANOVA, and logistic regression models, were utilized on weighted values with survey analysis procedures. The number of PH-related hospital admissions is rising, from an estimated 7,331 (95% confidence interval [CI]: 5,556-9,106) in 2000 to 10,792 (95% CI: 8,568-13,016) in 2009. While infant age and congenital heart disease were most commonly associated with PH-related hospitalizations, they were not associated with mortality. Overall mortality for PH-related hospitalizations was greater than that for hospitalizations not associated with PH, 5.7% versus 0.4% (odds ratio: 16.22 [95% CI: 14.78%-17.8%], P < 0.001), but mortality is decreasing over time. Sepsis, respiratory failure, acute renal failure, hepatic insufficiency, arrhythmias, and the use of extracorporeal membrane oxygenation are associated with mortality. The number of PH-related hospitalizations is increasing in the United States. The demographics of PH in this study are evolving. Despite the increasing prevalence, mortality is improving.
| S-EPMC4449246 | biostudies-other
Project description:Disparities in cancer mortality by county-level income have increased. It is unclear whether these widening disparities have affected older and younger adults equally. National death certificate data were utilized to ascertain cancer deaths during 1999-2015. Average annual percent changes in mortality rates and mortality rate ratios (RRs) were estimated by county-level income quintile and age (25-64 vs ≥65 years). Among 25- to 64-year-olds, cancer mortality rates were 30% higher (RR = 1.30, 95% confidence interval [CI] = 1.29 to 1.31) in the lowest-vs the highest-income counties in 1999-2001 and 56% higher (RR = 1.56, 95% CI = 1.55 to 1.57) in 2013-2015; the disparities among those 65 years and older were smaller but also widened over time (RR1999-2001 = 1.04, 95% CI = 1.03 to 1.05; RR2013-2015 = 1.14, 95% CI = 1.13 to 1.14). Widening disparities occurred across cancer sites. If all counties had the mortality rates of the highest-income counties, 21.5% of cancer deaths among 25- to 64-year-olds and 7.3% of cancer deaths in those 65 years and older would have been avoided in 2015. These results highlight an ongoing need for equity-focused interventions, particularly among younger adults.
| S-EPMC6695317 | biostudies-literature
Project description:Human papillomavirus (HPV)-associated cancer burden is rising in the United States. Trends in the incidence by county-level income and smoking prevalence remain undescribed. We used the Surveillance, Epidemiology, and End Results 21 database to ascertain HPV-associated cancers during 2000-2018. Trends were estimated by county-level income and smoking prevalence quartiles. Anal and vulvar cancer incidence among women and anal cancer incidence among men increased markedly in the lowest-income counties, whereas the increases were slower in the highest-income counties (eg, for vulvar cancer, incidence increased 1.9% per year, 95% confidence interval [CI] = 0.9% to 2.9%, in the lowest-income counties vs 0.8% per year, 95% CI = 0.6% to 1.1%, in the highest-income counties). In recent years, cervical cancer incidence plateaued (0.0% per year [95% CI = -0.5% to 0.5%]) in the highest-income counties; in the lowest-income counties, the annual percentage change was 1.6% per year (95% CI = -0.7% to 4.0%). Counties with high smoking prevalence had marked increases in incidence compared with their counterparts (eg, anal cancer among men increased 4.4% per year [95% CI = 2.7% to 6.0%] for those living in counties with the highest smoking prevalence vs 1.2% per year [95% CI = 0.7% to 1.7%] for those living in counties with the lowest smoking prevalence). Improved and targeted prevention is needed to combat the widening disparities.
| S-EPMC8891496 | biostudies-literature
Project description:BackgroundCoronavirus Disease 2019 (COVID-19) excess deaths refer to increases in mortality over what would normally have been expected in the absence of the COVID-19 pandemic. Several prior studies have calculated excess deaths in the United States but were limited to the national or state level, precluding an examination of area-level variation in excess mortality and excess deaths not assigned to COVID-19. In this study, we take advantage of county-level variation in COVID-19 mortality to estimate excess deaths associated with the pandemic and examine how the extent of excess mortality not assigned to COVID-19 varies across subsets of counties defined by sociodemographic and health characteristics.Methods and findingsIn this ecological, cross-sectional study, we made use of provisional National Center for Health Statistics (NCHS) data on direct COVID-19 and all-cause mortality occurring in US counties from January 1 to December 31, 2020 and reported before March 12, 2021. We used data with a 10-week time lag between the final day that deaths occurred and the last day that deaths could be reported to improve the completeness of data. Our sample included 2,096 counties with 20 or more COVID-19 deaths. The total number of residents living in these counties was 319.1 million. On average, the counties were 18.7% Hispanic, 12.7% non-Hispanic Black, and 59.6% non-Hispanic White. A total of 15.9% of the population was older than 65 years. We first modeled the relationship between 2020 all-cause mortality and COVID-19 mortality across all counties and then produced fully stratified models to explore differences in this relationship among strata of sociodemographic and health factors. Overall, we found that for every 100 deaths assigned to COVID-19, 120 all-cause deaths occurred (95% CI, 116 to 124), implying that 17% (95% CI, 14% to 19%) of excess deaths were ascribed to causes of death other than COVID-19 itself. Our stratified models revealed that the percentage of excess deaths not assigned to COVID-19 was substantially higher among counties with lower median household incomes and less formal education, counties with poorer health and more diabetes, and counties in the South and West. Counties with more non-Hispanic Black residents, who were already at high risk of COVID-19 death based on direct counts, also reported higher percentages of excess deaths not assigned to COVID-19. Study limitations include the use of provisional data that may be incomplete and the lack of disaggregated data on county-level mortality by age, sex, race/ethnicity, and sociodemographic and health characteristics.ConclusionsIn this study, we found that direct COVID-19 death counts in the US in 2020 substantially underestimated total excess mortality attributable to COVID-19. Racial and socioeconomic inequities in COVID-19 mortality also increased when excess deaths not assigned to COVID-19 were considered. Our results highlight the importance of considering health equity in the policy response to the pandemic.
| S-EPMC8136644 | biostudies-literature
Project description:ObjectiveThe objective of this study was to assess the association between United States county-level COVID-19 mortality and changes in presidential voting between 2016 and 2020.Study designThe study design is a county-level ecological study.MethodsWe analysed county-level population-weighted differences in partisan vote change, voter turnout and sociodemographic and health status characteristics across pre-election COVID-19 mortality quartiles. We estimated a population-weighted linear regression of the 2020-2016 Democratic vote change testing the significance of differences between quartiles of COVID-19 mortality, controlling for other county characteristics.ResultsThe overall change in the 2020-2016 Democratic vote was +2.9% but ranged from a +4.3% increase in the lowest mortality quartile counties to +0.9% in the highest mortality quartile counties. Change in turnout ranged from +9.1% in the lowest mortality counties to only +6.2% in highest mortality counties. In regression estimates, the highest mortality quartile was associated with a -1.26% change in the Democratic 2020-2016 vote compared with the lowest quartile (P < 0.001).ConclusionsHigher county-level COVID-19 mortality was associated with smaller increases in Democratic vote share in 2020 compared with 2016. Possible explanations to be explored in future research could include fear of in-person voting in heavily Democratic, high-mortality counties, fear of the economic effects of perceived Democratic support for tighter lockdowns and stay-at-home orders and general exhaustion that lowered political participation in hard-hit counties.
| S-EPMC9451615 | biostudies-literature