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CA: a Cancer Journal For Clinicians Sep 2019The number of cancer survivors continues to increase in the United States because of the growth and aging of the population as well as advances in early detection and...
The number of cancer survivors continues to increase in the United States because of the growth and aging of the population as well as advances in early detection and treatment. To assist the public health community in better serving these individuals, the American Cancer Society and the National Cancer Institute collaborate every 3 years to estimate cancer prevalence in the United States using incidence and survival data from the Surveillance, Epidemiology, and End Results cancer registries; vital statistics from the Centers for Disease Control and Prevention's National Center for Health Statistics; and population projections from the US Census Bureau. Current treatment patterns based on information in the National Cancer Data Base are presented for the most prevalent cancer types. Cancer-related and treatment-related short-term, long-term, and late health effects are also briefly described. More than 16.9 million Americans (8.1 million males and 8.8 million females) with a history of cancer were alive on January 1, 2019; this number is projected to reach more than 22.1 million by January 1, 2030 based on the growth and aging of the population alone. The 3 most prevalent cancers in 2019 are prostate (3,650,030), colon and rectum (776,120), and melanoma of the skin (684,470) among males, and breast (3,861,520), uterine corpus (807,860), and colon and rectum (768,650) among females. More than one-half (56%) of survivors were diagnosed within the past 10 years, and almost two-thirds (64%) are aged 65 years or older. People with a history of cancer have unique medical and psychosocial needs that require proactive assessment and management by follow-up care providers. Although there are growing numbers of tools that can assist patients, caregivers, and clinicians in navigating the various phases of cancer survivorship, further evidence-based resources are needed to optimize care.
Topics: Adolescent; Adult; Age Distribution; Aged; Aged, 80 and over; American Cancer Society; Cancer Survivors; Child; Child, Preschool; Female; Humans; Incidence; Infant; Infant, Newborn; Male; Middle Aged; Mortality; National Cancer Institute (U.S.); Neoplasms; Prevalence; SEER Program; Survival Rate; Treatment Outcome; United States; Young Adult
PubMed: 31184787
DOI: 10.3322/caac.21565 -
International Journal of Stroke :... Feb 2021Atrial fibrillation is the most frequent cardiac arrhythmia. It has been estimated that 6-12 million people worldwide will suffer this condition in the US by 2050 and...
BACKGROUND
Atrial fibrillation is the most frequent cardiac arrhythmia. It has been estimated that 6-12 million people worldwide will suffer this condition in the US by 2050 and 17.9 million people in Europe by 2060. Atrial fibrillation is a major risk factor for ischemic stroke and provokes important economic burden along with significant morbidity and mortality.
AIM
We provide here comprehensive and updated statistics on worldwide epidemiology of atrial fibrillation.
METHODS
An electronic search was conducted for atrial fibrillation. The epidemiologic information was retrieved from the Global Health Data Exchange database, which is regarded as one of the most comprehensive worldwide catalogs of surveys, censuses, vital statistics, and other health-related data.
RESULTS
A total of 3.046 million new cases of atrial fibrillation worldwide were registered in the database during 2017. The estimated incidence rate for 2017 (403/millions inhabitants) was 31% higher than the corresponding incidence in 1997. The worldwide prevalence of atrial fibrillation is 37,574 million cases (0.51% of worldwide population), increased also by 33% during the last 20 years. The highest burden is seen in countries with high socio-demographic index, though the largest recent increased occurred in middle socio-demographic index countries. Future projections suggest that absolute atrial fibrillation burden may increase by >60% in 2050.
CONCLUSIONS
Our analyses suggest that atrial fibrillation incidence and prevalence have increased over the last 20 years and will continue to increase over the next 30 years, especially in countries with middle socio-demographic index, becoming one of the largest epidemics and public health challenges.
Topics: Atrial Fibrillation; Epidemics; Global Health; Humans; Incidence; Prevalence; Public Health; Stroke
PubMed: 31955707
DOI: 10.1177/1747493019897870 -
JAMA Nov 2019US life expectancy has not kept pace with that of other wealthy countries and is now decreasing.
IMPORTANCE
US life expectancy has not kept pace with that of other wealthy countries and is now decreasing.
OBJECTIVE
To examine vital statistics and review the history of changes in US life expectancy and increasing mortality rates; and to identify potential contributing factors, drawing insights from current literature and an analysis of state-level trends.
EVIDENCE
Life expectancy data for 1959-2016 and cause-specific mortality rates for 1999-2017 were obtained from the US Mortality Database and CDC WONDER, respectively. The analysis focused on midlife deaths (ages 25-64 years), stratified by sex, race/ethnicity, socioeconomic status, and geography (including the 50 states). Published research from January 1990 through August 2019 that examined relevant mortality trends and potential contributory factors was examined.
FINDINGS
Between 1959 and 2016, US life expectancy increased from 69.9 years to 78.9 years but declined for 3 consecutive years after 2014. The recent decrease in US life expectancy culminated a period of increasing cause-specific mortality among adults aged 25 to 64 years that began in the 1990s, ultimately producing an increase in all-cause mortality that began in 2010. During 2010-2017, midlife all-cause mortality rates increased from 328.5 deaths/100 000 to 348.2 deaths/100 000. By 2014, midlife mortality was increasing across all racial groups, caused by drug overdoses, alcohol abuse, suicides, and a diverse list of organ system diseases. The largest relative increases in midlife mortality rates occurred in New England (New Hampshire, 23.3%; Maine, 20.7%; Vermont, 19.9%) and the Ohio Valley (West Virginia, 23.0%; Ohio, 21.6%; Indiana, 14.8%; Kentucky, 14.7%). The increase in midlife mortality during 2010-2017 was associated with an estimated 33 307 excess US deaths, 32.8% of which occurred in 4 Ohio Valley states.
CONCLUSIONS AND RELEVANCE
US life expectancy increased for most of the past 60 years, but the rate of increase slowed over time and life expectancy decreased after 2014. A major contributor has been an increase in mortality from specific causes (eg, drug overdoses, suicides, organ system diseases) among young and middle-aged adults of all racial groups, with an onset as early as the 1990s and with the largest relative increases occurring in the Ohio Valley and New England. The implications for public health and the economy are substantial, making it vital to understand the underlying causes.
Topics: Adolescent; Adult; Cause of Death; Child; Child, Preschool; Female; Humans; Infant; Infant Mortality; Life Expectancy; Male; Middle Aged; Mortality; Social Determinants of Health; Substance-Related Disorders; United States; Young Adult
PubMed: 31769830
DOI: 10.1001/jama.2019.16932 -
American Journal of Obstetrics and... Oct 2020Maternal mortality and severe maternal morbidity are urgent issues in the United States. It is important to establish priority areas to address these public health...
Maternal mortality and severe maternal morbidity are urgent issues in the United States. It is important to establish priority areas to address these public health crises. On April 8, 2019, and May 2 to 3, 2019, the Eunice Kennedy Shriver National Institute of Child Health and Human Development organized and invited experts with varied perspectives to 2 meetings, a community engagement forum and a scientific workshop, to discuss underlying themes involved in the rising incidence of maternal mortality in the United States. Experts from diverse disciplines reviewed current data, ongoing activities, and identified research gaps focused on data measurement and reporting, obstetrical and health system factors, social determinants and disparities, and the community perspective and engagement. Key scientific opportunities to reduce maternal mortality and severe maternal morbidity include improved data quality and measurement, understanding the populations affected as well as the numerous etiologies, clinical research to confirm preventive and interventional strategies, and engagement of community participation in research that will lead to the reduction of maternal mortality in the United States. This article provides a summary of the workshop presentations and discussions.
Topics: Black or African American; Community Participation; Female; Health Status Disparities; Healthcare Disparities; Humans; Maternal Mortality; National Institute of Child Health and Human Development (U.S.); Pregnancy; Research; Social Determinants of Health; United States; White People
PubMed: 32682858
DOI: 10.1016/j.ajog.2020.07.021 -
Lancet (London, England) Jul 2022There are large and persistent disparities in life expectancy among racial-ethnic groups in the USA, but the extent to which these patterns vary geographically on a...
BACKGROUND
There are large and persistent disparities in life expectancy among racial-ethnic groups in the USA, but the extent to which these patterns vary geographically on a local scale is not well understood. This analysis estimated life expectancy for five racial-ethnic groups, in 3110 US counties over 20 years, to describe spatial-temporal variations in life expectancy and disparities between racial-ethnic groups.
METHODS
We applied novel small-area estimation models 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 sex-specific and age-specific mortality rates stratified by county and racial-ethnic group (non-Latino and non-Hispanic White [White], non-Latino and non-Hispanic Black [Black], non-Latino and non-Hispanic American Indian or Alaska Native [AIAN], non-Latino and non-Hispanic Asian or Pacific Islander [API], and Latino or Hispanic [Latino]) from 2000 to 2019. We adjusted these mortality rates to correct for misreporting of race and ethnicity on death certificates and then constructed abridged life tables to estimate life expectancy at birth.
FINDINGS
Between 2000 and 2019, trends in life expectancy differed among racial-ethnic groups and among counties. Nationally, there was an increase in life expectancy for people who were Black (change 3·9 years [95% uncertainty interval 3·8 to 4·0]; life expectancy in 2019 75·3 years [75·2 to 75·4]), API (2·9 years [2·7 to 3·0]; 85·7 years [85·3 to 86·0]), Latino (2·7 years [2·6 to 2·8]; 82·2 years [82·0 to 82·5]), and White (1·7 years [1·6 to 1·7]; 78·9 years [78·9 to 79·0]), but remained the same for the AIAN population (0·0 years [-0·3 to 0·4]; 73·1 years [71·5 to 74·8]). At the national level, the negative difference in life expectancy for the Black population compared with the White population decreased during this period, whereas the negative difference for the AIAN population compared with the White population increased; in both cases, these patterns were widespread among counties. The positive difference in life expectancy for the API and Latino populations compared with the White population increased at the national level from 2000 to 2019; however, this difference declined in a sizeable minority of counties (615 [42·0%] of 1465 counties) for the Latino population and in most counties (401 [60·2%] of 666 counties) for the API population. For all racial-ethnic groups, improvements in life expectancy were more widespread across counties and larger from 2000 to 2010 than from 2010 to 2019.
INTERPRETATION
Disparities in life expectancy among racial-ethnic groups are widespread and enduring. Local-level data are crucial to address the root causes of poor health and early death among disadvantaged groups in the USA, eliminate health disparities, and increase longevity for all.
FUNDING
National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; 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 Science Research, US National Institutes of Health.
Topics: Ethnicity; Female; Humans; Infant, Newborn; Life Expectancy; Life Tables; Male; Minority Groups; Racial Groups; United States
PubMed: 35717994
DOI: 10.1016/S0140-6736(22)00876-5 -
American Journal of Preventive Medicine Feb 2020Infant mortality rates are higher in nonmetropolitan areas versus large metropolitan areas. Variation by race/ethnicity and cause of death has not been assessed....
INTRODUCTION
Infant mortality rates are higher in nonmetropolitan areas versus large metropolitan areas. Variation by race/ethnicity and cause of death has not been assessed. Urban-rural infant mortality rate differences were quantified by race/ethnicity and cause of death.
METHODS
National Vital Statistics System linked birth/infant death data (2014-2016) were analyzed in 2019 by 3 urban-rural county classifications: large metropolitan, medium/small metropolitan, and nonmetropolitan. Excess infant mortality rates (rate differences) by urban-rural classification were calculated relative to large metropolitan areas overall and for each racial/ethnic group. The number of excess deaths, population attributable fraction, and proportion of excess deaths attributable to underlying causes of death was calculated.
RESULTS
Nonmetropolitan areas had the highest excess infant mortality rate overall. Excess infant mortality rates were substantially lower for Hispanic infants than other races/ethnicities. Overall, 7.4% of infant deaths would be prevented if all areas had the infant mortality rate of large metropolitan areas. With more than half of births occurring outside of large metropolitan areas, the population attributable fraction was highest for American Indian/Alaska Natives (20.3%) and whites, non-Hispanic (14.3%). Excess infant mortality rates in both nonmetropolitan and medium/small metropolitan areas were primarily attributable to sudden unexpected infant deaths (42.3% and 31.9%) and congenital anomalies (30.1% and 26.8%). This pattern was consistent for all racial/ethnic groups except black, non-Hispanic infants, for whom preterm-related and sudden unexpected infant deaths accounted for the largest share of excess infant mortality rates.
CONCLUSIONS
Infant mortality increases with rurality, and excess infant mortality rates are predominantly attributable to sudden unexpected infant deaths and congenital anomalies, with differences by race/ethnicity regarding magnitude and cause of death.
Topics: Black or African American; Cause of Death; Ethnicity; Female; Humans; Indians, North American; Infant; Infant Mortality; Infant, Newborn; Male; Racial Groups; Rural Population; United States; Urban Population; Vital Statistics; White People
PubMed: 31735480
DOI: 10.1016/j.amepre.2019.09.010 -
Lancet (London, England) Sep 2023Large disparities in mortality exist across racial-ethnic groups and by location in the USA, but the extent to which racial-ethnic disparities vary by location, or how...
BACKGROUND
Large disparities in mortality exist across racial-ethnic groups and by location in the USA, but the extent to which racial-ethnic disparities vary by location, or how these patterns vary by cause of death, is not well understood. We aimed to estimate age-standardised mortality by racial-ethnic group, county, and cause of death and describe the intersection between racial-ethnic and place-based disparities in mortality in the USA, comparing patterns across health conditions.
METHODS
We applied small-area estimation models to death certificate data from the US National Vital Statistics system and population data from the US National Center for Health Statistics to estimate mortality by age, sex, county, and racial-ethnic group annually from 2000 to 2019 for 19 broad causes of death. Race and ethnicity were categorised as non-Latino and non-Hispanic American Indian or Alaska Native (AIAN), non-Latino and non-Hispanic Asian or Pacific Islander (Asian), non-Latino and non-Hispanic Black (Black), Latino or Hispanic (Latino), and non-Latino and non-Hispanic White (White). We adjusted these mortality rates to correct for misreporting of race and ethnicity on death certificates and generated age-standardised results using direct standardisation to the 2010 US census population.
FINDINGS
From 2000 to 2019, across 3110 US counties, racial-ethnic disparities in age-standardised mortality were noted for all causes of death considered. Mortality was substantially higher in the AIAN population (all-cause mortality 1028·2 [95% uncertainty interval 922·2-1142·3] per 100 000 population in 2019) and Black population (953·5 [947·5-958·8] per 100 000) than in the White population (802·5 [800·3-804·7] per 100 000), but substantially lower in the Asian population (442·3 [429·3-455·0] per 100 000) and Latino population (595·6 [583·7-606·8] per 100 000), and this pattern was found for most causes of death. However, there were exceptions to this pattern, and the exact order among racial-ethnic groups, magnitude of the disparity in both absolute and relative terms, and change over time in this magnitude varied considerably by cause of death. Similarly, substantial geographical variation in mortality was observed for all causes of death, both overall and within each racial-ethnic group. Racial-ethnic disparities observed at the national level reflect widespread disparities at the county level, although the magnitude of these disparities varied widely among counties. Certain patterns of disparity were nearly universal among counties; for example, in 2019, mortality was higher among the AIAN population than the White population in at least 95% of counties for skin and subcutaneous diseases (455 [97·8%] of 465 counties with unmasked estimates) and HIV/AIDS and sexually transmitted infections (458 [98·5%] counties), and mortality was higher among the Black population than the White population in nearly all counties for skin and subcutaneous diseases (1436 [96·6%] of 1486 counties), diabetes and kidney diseases (1473 [99·1%]), maternal and neonatal disorders (1486 [100·0%] counties), and HIV/AIDS and sexually transmitted infections (1486 [100·0%] counties).
INTERPRETATION
Disparities in mortality among racial-ethnic groups are ubiquitous, occurring across locations in the USA and for a wide range of health conditions. There is an urgent need to address the shared structural factors driving these widespread disparities.
FUNDING
National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; 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, US National Institutes of Health.
Topics: Humans; Ethnicity; Health Status Disparities; United States; Mortality; Racial Groups
PubMed: 37544309
DOI: 10.1016/S0140-6736(23)01088-7 -
American Journal of Preventive Medicine Apr 2024Cardiovascular disease (CVD) mortality increased during the initial years of the COVID-19 pandemic, but whether these trends endured in 2022 is unknown. This analysis...
INTRODUCTION
Cardiovascular disease (CVD) mortality increased during the initial years of the COVID-19 pandemic, but whether these trends endured in 2022 is unknown. This analysis describes temporal trends in CVD death rates from 2010 to 2022 and estimates excess CVD deaths from 2020 to 2022.
METHODS
Using national mortality data from the National Vital Statistics System, deaths among adults aged ≥35 years were classified by underlying cause of death International Classification of Diseases 10th Revision codes for CVD (I00-I99), heart disease (I00-I09, I11, I13, I20-I51), and stroke (I60-I69). Analyses in Joinpoint software identified trends in CVD age-adjusted mortality rates (AAMR) per 100,000 and estimated the number of excess CVD deaths from 2020 to 2022.
RESULTS
During 2010-2022, 10,951,403 CVD deaths occurred (75.6% heart disease, 16.9% stroke). The national CVD AAMR declined by 8.9% from 2010 to 2019 (456.6-416.0 per 100,000) and then increased by 9.3% from 2019 to 2022 to 454.5 per 100,000, which approximated the 2010 rate (456.7 per 100,000). From 2020 to 2022, 228,524 excess CVD deaths occurred, which was 9% more CVD deaths than expected based on trends from 2010 to 2019. Results varied by CVD subtype and population subgroup.
CONCLUSIONS
Despite stabilization of the public health emergency, declines in CVD mortality rates reversed in 2020 and remained high in 2022, representing almost a decade of lost progress and over 228,000 excess CVD deaths. Findings underscore the importance of prioritizing prevention and management of CVD to improve outcomes.
Topics: Adult; Humans; Cardiovascular Diseases; Cause of Death; Pandemics; Heart Diseases; Stroke; Mortality
PubMed: 37972797
DOI: 10.1016/j.amepre.2023.11.009 -
JAMA May 2021
Topics: COVID-19; Cause of Death; Humans; United States
PubMed: 33787821
DOI: 10.1001/jama.2021.5469 -
Journal of Epidemiology Jul 2021Unlike many North American and European countries, Japan has observed a continuous increase in cancer incidence over the last few decades. We examined the most recent...
BACKGROUND
Unlike many North American and European countries, Japan has observed a continuous increase in cancer incidence over the last few decades. We examined the most recent trends in population-based cancer incidence and mortality in Japan.
METHODS
National cancer mortality data between 1958 and 2018 were obtained from published vital statistics. Cancer incidence data between 1985 and 2015 were obtained from high-quality population-based cancer registries maintained by three prefectures (Yamagata, Fukui, and Nagasaki). Trends in age-standardized rates (ASR) were examined using Joinpoint regression analysis.
RESULTS
For males, all-cancer incidence increased between 1985 and 1996 (annual percent change [APC] +1.1%; 95% confidence interval [CI], 0.7-1.5%), increased again in 2000-2010 (+1.3%; 95% CI, 0.9-1.8%), and then decreased until 2015 (-1.4%; 95% CI, -2.5 to -0.3%). For females, all-cancer incidence increased until 2010 (+0.8%; 95% CI, 0.6-0.9% in 1985-2004 and +2.4%; 95% CI, 1.3-3.4% in 2004-2010), and stabilized thereafter until 2015. The post-2000 increase was mainly attributable to prostate in males and breast in females, which slowed or levelled during the first decade of the 2000s. After a sustained increase, all-cancer mortality for males decreased in 1996-2013 (-1.6%; 95% CI, -1.6 to -1.5%) and accelerated thereafter until 2018 (-2.5%; 95% CI, -2.9 to -2.0%). All-cancer mortality for females decreased intermittently throughout the observation period, with the most recent APC of -1.0% (95% CI, -1.1 to -0.9%) in 2003-2018. The recent decreases in mortality in both sexes, and in incidence in males, were mainly attributable to stomach, liver, and male lung cancers.
CONCLUSION
The ASR of all-cancer incidence began decreasing significantly in males and levelled off in females in 2010.
Topics: Female; Humans; Incidence; Japan; Male; Mortality; Neoplasms; Registries
PubMed: 33551387
DOI: 10.2188/jea.JE20200416