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1.
Ann Intern Med ; 174(12): 1693-1699, 2021 12.
Artículo en Inglés | MEDLINE | ID: mdl-34606321

RESUMEN

BACKGROUND: Although racial/ethnic disparities in U.S. COVID-19 death rates are striking, focusing on COVID-19 deaths alone may underestimate the true effect of the pandemic on disparities. Excess death estimates capture deaths both directly and indirectly caused by COVID-19. OBJECTIVE: To estimate U.S. excess deaths by racial/ethnic group. DESIGN: Surveillance study. SETTING: United States. PARTICIPANTS: All decedents. MEASUREMENTS: Excess deaths and excess deaths per 100 000 persons from March to December 2020 were estimated by race/ethnicity, sex, age group, and cause of death, using provisional death certificate data from the Centers for Disease Control and Prevention (CDC) and U.S. Census Bureau population estimates. RESULTS: An estimated 2.88 million deaths occurred between March and December 2020. Compared with the number of expected deaths based on 2019 data, 477 200 excess deaths occurred during this period, with 74% attributed to COVID-19. Age-standardized excess deaths per 100 000 persons among Black, American Indian/Alaska Native (AI/AN), and Latino males and females were more than double those in White and Asian males and females. Non-COVID-19 excess deaths also disproportionately affected Black, AI/AN, and Latino persons. Compared with White males and females, non-COVID-19 excess deaths per 100 000 persons were 2 to 4 times higher in Black, AI/AN, and Latino males and females, including deaths due to diabetes, heart disease, cerebrovascular disease, and Alzheimer disease. Excess deaths in 2020 resulted in substantial widening of racial/ethnic disparities in all-cause mortality from 2019 to 2020. LIMITATIONS: Completeness and availability of provisional CDC data; no estimates of precision around results. CONCLUSION: There were profound racial/ethnic disparities in excess deaths in the United States in 2020 during the COVID-19 pandemic, resulting in rapid increases in racial/ethnic disparities in all-cause mortality between 2019 and 2020. PRIMARY FUNDING SOURCE: National Institutes of Health Intramural Research Program.


Asunto(s)
COVID-19/etnología , COVID-19/mortalidad , Minorías Étnicas y Raciales/estadística & datos numéricos , Disparidades en el Estado de Salud , Pandemias , Adolescente , Adulto , Distribución por Edad , Anciano , Anciano de 80 o más Años , Causas de Muerte , Niño , Preescolar , Femenino , Humanos , Lactante , Recién Nacido , Masculino , Persona de Mediana Edad , Vigilancia de la Población , SARS-CoV-2 , Distribución por Sexo , Estados Unidos/epidemiología , Adulto Joven
2.
Cancer Epidemiol Biomarkers Prev ; 33(8): 1023-1027, 2024 Aug 01.
Artículo en Inglés | MEDLINE | ID: mdl-38847607

RESUMEN

BACKGROUND: It is important to understand the impact of the COVID-19 pandemic on cancer death rates in 2020 in the US. We estimated whether there were larger-than-expected changes in cancer mortality rates from March to December 2020 after accounting for temporal and seasonal patterns using data from January 2011 to February 2020 by cancer type and age. METHODS: We obtained death counts and underlying causes of death by cancer type, month/year (2011-2020), and age group from the National Center for Health Statistics and population estimates from the US Census Bureau. Poisson regression was used to test for significant changes in cancer death rates from March to December 2020 compared with prior years. RESULTS: After accounting for temporal trends and seasonal patterns, total cancer death rates were significantly lower than expected during March to December 2020 among 55- to 64-year-olds and ≥75-year-olds, but not in other age groups. Cancer death rates were 2% lower than expected from March to June among 55- to 64-year-olds and 2% to 3% lower from March to July and December among ≥75-year-olds. Among ≥75-year-olds, colorectal cancer death rates were lower from March to June [rate ratios (RR) = 0.94-0.96; P < 0.05]; however, lung cancer death rates were 5% lower across each month (all RRs = 0.95; P < 0.05). CONCLUSIONS: In the US, cancer death rates based on the underlying cause of death were broadly similar to expected rates from March to December 2020. However, cancer death rates were lower than expected among 55- to 64-year-olds and ≥75-year-olds, likely due to COVID-19 as a competing cause of death. IMPACT: Cancer mortality rates from 2020 should be interpreted with caution.


Asunto(s)
COVID-19 , Neoplasias , Humanos , COVID-19/mortalidad , COVID-19/epidemiología , Neoplasias/mortalidad , Neoplasias/epidemiología , Estados Unidos/epidemiología , Persona de Mediana Edad , Anciano , Masculino , Femenino , SARS-CoV-2 , Pandemias , Factores de Edad , Adulto , Anciano de 80 o más Años , Adulto Joven
3.
J Natl Cancer Inst ; 115(7): 822-830, 2023 07 06.
Artículo en Inglés | MEDLINE | ID: mdl-37074947

RESUMEN

BACKGROUND: Starting in 2018, national death certificates included a new racial classification system that accounts for multiple-race decedents and separates Native Hawaiian and Pacific Islander (NHPI) individuals from Asian individuals. We estimated cancer death rates across updated racial and ethnic categories, sex, and age. METHODS: Age-standardized US cancer mortality rates and rate ratios from 2018 to 2020 among individuals aged 20 years and older were estimated with national death certificate data by race and ethnicity, sex, age, and cancer site. RESULTS: In 2018, there were approximately 597 000 cancer deaths, 598 000 in 2019, and 601 000 in 2020. Among men, cancer death rates were highest in Black men (298.2 per 100 000; n = 105 632), followed by White (250.8; n = 736 319), American Indian/Alaska Native (AI/AN; 249.2; n = 3376), NHPI (205.6; n = 1080), Latino (177.2; n = 66 167), and Asian (147.9; n = 26 591) men. Among women, Black women had the highest cancer death rates (206.5 per 100 000; n = 104 437), followed by NHPI (192.1; n = 1141), AI/AN (189.9; n = 3239), White (183.0; n = 646 865), Latina (128.4; n = 61 579), and Asian (111.4; n = 26 396) women. The highest death rates by age group occurred among NHPI individuals aged 20-49 years and Black individuals aged 50-69 and 70 years and older. Asian individuals had the lowest cancer death rates across age groups. Compared with Asian individuals, total cancer death rates were 39% higher in NHPI men and 73% higher in NHPI women. CONCLUSIONS: There were striking racial and ethnic disparities in cancer death rates during 2018-2020. Separating NHPI and Asian individuals revealed large differences in cancer mortality between 2 groups that were previously combined in vital statistics data.


Asunto(s)
Etnicidad , Neoplasias , Grupos Raciales , Femenino , Humanos , Masculino , Asiático , Etnicidad/estadística & datos numéricos , Hispánicos o Latinos , Nativos de Hawái y Otras Islas del Pacífico/estadística & datos numéricos , Neoplasias/epidemiología , Neoplasias/etnología , Neoplasias/mortalidad , Estados Unidos/epidemiología , Grupos Raciales/etnología , Grupos Raciales/estadística & datos numéricos , Adulto Joven , Adulto , Factores Sexuales , Factores Raciales , Factores de Edad
4.
JAMA Intern Med ; 183(8): 849-856, 2023 08 01.
Artículo en Inglés | MEDLINE | ID: mdl-37399025

RESUMEN

Importance: Although deaths due to external causes are a leading cause of mortality in the US, trends over time by intent and demographic characteristics remain poorly understood. Objective: To examine national trends in mortality rates due to external causes from 1999 to 2020 by intent (homicide, suicide, unintentional, and undetermined) and demographic characteristics. External causes were defined as poisonings (eg, drug overdose), firearms, and all other injuries, including motor vehicle injuries and falls. Given the repercussions of the COVID-19 pandemic, US death rates for 2019 and 2020 were also compared. Design, Setting, and Participants: Serial cross-sectional study using national death certificate data obtained from the National Center for Health Statistics and including all external causes of 3 813 894 deaths among individuals aged 20 years or older from January 1, 1999, to December 31, 2020. Data analysis was conducted from January 20, 2022, to February 5, 2023. Exposures: Age, sex, and race and ethnicity. Main Outcomes and Measures: Trends in age-standardized mortality rates and average annual percentage change (AAPC) in rates calculated by intent (suicide, homicide, unintentional, and undetermined), age, sex, and race and ethnicity for each external cause. Results: Between 1999 and 2020, there were 3 813 894 deaths due to external causes in the US. From 1999 to 2020, poisoning death rates increased annually (AAPC, 7.0%; 95% CI, 5.4%-8.7%). From 2014 to 2020, poisoning death rates increased the most among men (APC, 10.8%; 95% CI, 7.7%-14.0%). During the study period, poisoning death rates increased in all the racial and ethnic groups examined; the most rapid increase was among American Indian and Alaska Native individuals (AAPC, 9.2%; 95% CI, 7.4%-10.9%). During the study period, death rates for unintentional poisoning had the most rapid rate of increase (AAPC, 8.1%; 95% CI, 7.4%-8.9%). From 1999 to 2020, firearm death rates increased (AAPC, 1.1%; 95% CI, 0.7%-1.5%). From 2013 to 2020, firearm mortality increased by an average of 4.7% annually (95% CI, 2.9%-6.5%) among individuals aged 20 to 39 years. From 2014 to 2020, mortality from firearm homicides increased by an average of 6.9% annually (95% CI, 3.5%-10.4%). From 2019 to 2020, mortality rates from external causes accelerated further, largely from increases in unintentional poisoning, and homicide due to firearms and all other injuries. Conclusions and Relevance: Results of this cross-sectional study suggest that from 1999 to 2020, death rates due to poisonings, firearms, and all other injuries increased substantially in the US. The rapid increase in deaths due to unintentional poisonings and firearm homicides is a national emergency that requires urgent public health interventions at the local and national levels.


Asunto(s)
COVID-19 , Armas de Fuego , Suicidio , Masculino , Humanos , Armas de Fuego/estadística & datos numéricos , Estudios Transversales , Pandemias , Homicidio/estadística & datos numéricos , Suicidio/estadística & datos numéricos
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