The Leading Causes of Death in the US for 2020.
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ABSTRACT:
SUBMITTER: Ahmad FB
PROVIDER: S-EPMC8145781 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
Publications
The Leading Causes of Death in the US for 2020.
Ahmad Farida B FB Anderson Robert N RN
JAMA 20210501 18
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Project description:BackgroundOur current understanding of Asian American mortality patterns has been distorted by the historical aggregation of diverse Asian subgroups on death certificates, masking important differences in the leading causes of death across subgroups. In this analysis, we aim to fill an important knowledge gap in Asian American health by reporting leading causes of mortality by disaggregated Asian American subgroups.Methods and findingsWe examined national mortality records for the six largest Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese) and non-Hispanic Whites (NHWs) from 2003-2011, and ranked the leading causes of death. We calculated all-cause and cause-specific age-adjusted rates, temporal trends with annual percent changes, and rate ratios by race/ethnicity and sex. Rankings revealed that as an aggregated group, cancer was the leading cause of death for Asian Americans. When disaggregated, there was notable heterogeneity. Among women, cancer was the leading cause of death for every group except Asian Indians. In men, cancer was the leading cause of death among Chinese, Korean, and Vietnamese men, while heart disease was the leading cause of death among Asian Indians, Filipino and Japanese men. The proportion of death due to heart disease for Asian Indian males was nearly double that of cancer (31% vs. 18%). Temporal trends showed increased mortality of cancer and diabetes in Asian Indians and Vietnamese; increased stroke mortality in Asian Indians; increased suicide mortality in Koreans; and increased mortality from Alzheimer's disease for all racial/ethnic groups from 2003-2011. All-cause rate ratios revealed that overall mortality is lower in Asian Americans compared to NHWs.ConclusionsOur findings show heterogeneity in the leading causes of death among Asian American subgroups. Additional research should focus on culturally competent and cost-effective approaches to prevent and treat specific diseases among these growing diverse populations.
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Project description:BackgroundReducing maternal mortality is a priority in the United States and worldwide. Drug-related deaths and suicide may account for a substantial and growing portion of maternal deaths, yet information on the incidence of and sociodemographic variation in these deaths is scarce.ObjectiveWe sought to examine incidence of drug-related and suicide deaths in the 12 months after delivery, including heterogeneity by sociodemographic factors. We also explored maternal decedents' health care utilization prior to death.Study designThis retrospective, population-based cohort study followed up 1,059,713 women who delivered a live-born infant in California hospitals during 2010-2012 to ascertain maternal death. Analyses were conducted using statewide, all-payer, longitudinally-linked hospital and death data.ResultsA total of 300 women died during follow-up, a rate of 28.33 deaths per 100,000 person-years. The leading cause of death was obstetric-related problems (6.52 per 100,000 person-years). Drug-related deaths were the second leading cause of death (3.68 per 100,000 person-years), and suicide was the seventh leading cause (1.42 per 100,000 person-years); together these deaths comprised 18% of all maternal deaths. Non-Hispanic white women, Medicaid-insured women, and women residing in micropolitan areas were especially likely to die from drugs/suicide. Two thirds of women who died, including 74% of those who died by drugs/suicide, made ≥1 emergency department or hospital visit between their delivery and death.ConclusionDeaths caused by drugs and suicide are a major contributor to mortality in the postpartum period and warrant increased clinical attention, including recognition by physicians and Maternal Mortality Review Committees as a medical cause of death. Importantly, emergency department and inpatient hospital visits may serve as a point of identification of, and eventually prevention for, women at risk for these deaths.
| S-EPMC6829056 | biostudies-literature
Project description:BackgroundThe death toll after SARS-CoV-2 emergence includes deaths directly or indirectly associated with COVID-19. Mexico reported 325,415 excess deaths, 34.4% of them not directly related to COVID-19 in 2020. In this work, we aimed to analyse temporal changes in the distribution of the leading causes of mortality produced by COVID-19 pandemic in Mexico to understand excess mortality not directly related to the virus infection.MethodsWe did a longitudinal retrospective study of the leading causes of mortality and their variation with respect to cause-specific expected deaths in Mexico from January 2020 through December 2021 using death certificate information. We fitted a Poisson regression model to predict cause-specific mortality during the pandemic period, based on the 2015-2019 registered mortality. We estimated excess deaths as a weekly difference between expected and observed deaths and added up for the entire period. We expressed all-cause and cause-specific excess mortality as a percentage change with respect to predicted deaths by our model.FindingsCOVID-19 was the leading cause of death in 2020-2021 (439,582 deaths). All-cause total excess mortality was 600,590 deaths (38⋅2% [95% CI: 36·0 to 40·4] over expected). The largest increases in cause-specific mortality, occurred in diabetes (36·8% over expected), respiratory infections (33·3%), ischaemic heart diseases (32·5%) and hypertensive diseases (25·0%). The cause-groups that experienced significant decreases with respect to the expected pre-pandemic mortality were infectious and parasitic diseases (-20·8%), skin diseases (-17·5%), non-traffic related accidents (-16·7%) and malignant neoplasm (-5·3%).InterpretationMortality from COVID-19 became the first cause of death in 2020-2021, the increase in other causes of death may be explained by changes in the health service utilization patterns caused by hospital conversion or fear of the population using them. Cause-misclassification cannot be ruled out.FundingThis study was funded by Conacyt.
| S-EPMC9230439 | biostudies-literature
Project description:ObjectiveAsian Indians are among the fastest growing United States (US) ethnic subgroups. We characterized mortality trends for leading causes of death among foreign-born and US-born Asian Indians in the US between 2005-2017.Study design and settingUsing US standardized death certificate data, we examined leading causes of death in 73,470 Asian Indians and 20,496,189 non-Hispanic whites (NHWs) across age, gender, and nativity. For each cause, we report age-standardized mortality rates (AMR), longitudinal trends, and absolute percent change (APC).ResultsWe found that Asian Indians' leading causes of death were heart disease (28% mortality males; 24% females) and cancer (18% males; 22% females). Foreign-born Asian Indians had higher all-cause AMR compared to US-born (AMR 271 foreign-born, CI 263-280; 175.8 US-born, CI 140-221; p<0.05), while Asian Indian all-cause AMR was lower than that of NHWs (AMR 271 Indian, CI 263-278; 754.4 NHW, CI 753.3-755.5; p<0.05). All-cause AMR increased for foreign-born Asian Indians over time, while decreasing for US-born Asian Indians and NHWs.ConclusionsForeign-born Asian Indians were 2.2 times more likely to die of heart disease and 1.6 times more likely to die of cancer. Asian Indian male AMR was 49% greater than female on average, although AMR was consistently lower for Asian Indians when compared to NHWs.
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Project description:Firearm injuries are the second-leading cause of death for US children and adolescents (ages 1-18). This analysis quantified the federal dollars granted to research for the leading US causes of death for this age group in 2008-17. Several federal data sources were queried. On average, in the study period, $88 million per year was granted to research motor vehicle crashes, the leading cause of death in this age group. Cancer, the third-leading cause of mortality, received $335 million per year. In contrast, $12 million-only thirty-two grants, averaging $597 in research dollars per death-went to firearm injury prevention research among children and adolescents. According to a regression analysis, funding for pediatric firearm injury prevention was only 3.3 percent of what would be predicted by mortality burden, and that level of funding resulted in fewer scientific articles than predicted. A thirtyfold increase in firearm injury research funding focused on this age group, or at least $37 million per year, is needed for research funding to be commensurate with the mortality burden.
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Project description:ObjectiveWe examined the effect of functional disability on all-cause mortality and cause-specific deaths among community-dwelling US adults.MethodsWe used data from 142,636 adults who participated in the 1994-1995 National Health Interview Survey-Disability Supplement eligible for linkage to National Death Index records from 1994 to 2006 to estimate the effects of disability on mortality and leading causes of death.ResultsAdults with any disability were more likely to die than adults without disability (19.92% vs. 10.94%; hazard ratio=1.51, 95% confidence interval, 1.45-1.57). This association was statistically significant for most causes of death and for most types of disability studied. The leading cause of death for adults with and without disability differed (heart disease and malignant neoplasms, respectively).ConclusionsOur results suggest that all-cause mortality rates are higher among adults with disabilities than among adults without disabilities and that significant associations exist between several types of disability and cause-specific mortality. Interventions are needed that effectively address the poorer health status of people with disabilities and reduce the risk of death.
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Project description:PATH, an international nonprofit organization, assessed nearly 40 technologies for their potential to reduce maternal mortality from postpartum hemorrhage and preeclampsia and eclampsia in low-resource settings. The evaluation used a new Excel-based prioritization tool covering 22 criteria developed by PATH, the Maternal and Neonatal Directed Assessment of Technology (MANDATE) model, and consultations with experts. It identified five innovations with especially high potential: technologies to improve use of oxytocin, a uterine balloon tamponade, simplified dosing of magnesium sulfate, an improved proteinuria test, and better blood pressure measurement devices. Investments are needed to realize the potential of these technologies to reduce mortality.
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Project description:Obesity traits are causally implicated with risk of cardiometabolic diseases. It remains unclear whether there are similar causal effects of obesity traits on other non-communicable diseases. Also, it is largely unexplored whether there are any sex-specific differences in the causal effects of obesity traits on cardiometabolic diseases and other leading causes of death. We constructed sex-specific genetic risk scores (GRS) for three obesity traits; body mass index (BMI), waist-hip ratio (WHR), and WHR adjusted for BMI, including 565, 324, and 337 genetic variants, respectively. These GRSs were then used as instrumental variables to assess associations between the obesity traits and leading causes of mortality in the UK Biobank using Mendelian randomization. We also investigated associations with potential mediators, including smoking, glycemic and blood pressure traits. Sex-differences were subsequently assessed by Cochran's Q-test (Phet). A Mendelian randomization analysis of 228,466 women and 195,041 men showed that obesity causes coronary artery disease, stroke (particularly ischemic), chronic obstructive pulmonary disease, lung cancer, type 2 and 1 diabetes mellitus, non-alcoholic fatty liver disease, chronic liver disease, and acute and chronic renal failure. Higher BMI led to higher risk of type 2 diabetes in women than in men (Phet = 1.4×10-5). Waist-hip-ratio led to a higher risk of chronic obstructive pulmonary disease (Phet = 3.7×10-6) and higher risk of chronic renal failure (Phet = 1.0×10-4) in men than women. Obesity traits have an etiological role in the majority of the leading global causes of death. Sex differences exist in the effects of obesity traits on risk of type 2 diabetes, chronic obstructive pulmonary disease, and renal failure, which may have downstream implications for public health.
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Project description:ObjectivesTo quantify the burden of death that COVID-19 contributes relative to the top three causes of death for all countries.DesignWe performed uncertainty analyses and created contour plots for COVID-19 mortality to place the number of COVID-19 deaths in context relative to the top three causes of death in each country, across a plausible range of values for two key parameters: case fatality rate and magnitude of under-reporting.SettingAll countries that have reported COVID-19 cases to the WHO and are included in the Global Burden of Disease Study by the Institute of Health Metrics and Evaluation.Main outcomes and measuresMonthly number of deaths caused by COVID-19 and monthly number of deaths caused by the top three causes of death for every country.ResultsFor countries that were particularly hard hit during the outbreak in 2020, most combinations of model parameters resulted in COVID-19 ranking within the top three causes of death. For countries not as hard hit on a per-capita basis, such as China and India, COVID-19 did not rank higher than the third leading cause of death at any combination of the model parameters within the given ranges. Up-to-date ranking of COVID-19 deaths relative to the top three causes of death for all countries globally is provided in an interactive online application.ConclusionsEstimating the country-level burden of death that COVID-19 contributes relative to the top three causes of death is feasible through contour graphs, even when the actual number of deaths or cases is unknown. This method can help convey importance by placing the magnitude of COVID-related deaths in context relative to more familiar causes of death by communicating when COVID-related deaths rank among the top three causes of death.
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