Mortality due to falls by county, age group, race, and ethnicity in the USA, 2000–19: a systematic analysis of health disparities

Fall-related mortality has increased rapidly over the past two decades in the USA, but the extent to which mortality varies across racial and ethnic populations, counties, and age groups is not well understood. The aim of this study was to estimate age-standardised mortality rates due to falls by ra...

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Veröffentlicht in:The Lancet. Public health 2024-08, Vol.9 (8), p.e539-e550
Hauptverfasser: Kendrick, Parkes, Kelly, Yekaterina O, Baumann, Mathew M, Kahn, Ethan, Compton, Kelly, Schmidt, Chris, Sylte, Dillon O, Li, Zhuochen, La Motte-Kerr, Wichada, Daoud, Farah, Ong, Kanyin Liane, Moberg, Madeline, Hay, Simon I, Rodriquez, Erik J, Strassle, Paula D, Mensah, George A, Bandiera, Frank C, George, Stephanie M, Simonsick, Eleanor M, Brown, Colleen, Pérez-Stable, Eliseo J, Murray, Christopher J L, Mokdad, Ali H, Dwyer-Lindgren, Laura
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container_issue 8
container_start_page e539
container_title The Lancet. Public health
container_volume 9
creator Kendrick, Parkes
Kelly, Yekaterina O
Baumann, Mathew M
Kahn, Ethan
Compton, Kelly
Schmidt, Chris
Sylte, Dillon O
Li, Zhuochen
La Motte-Kerr, Wichada
Daoud, Farah
Ong, Kanyin Liane
Moberg, Madeline
Hay, Simon I
Rodriquez, Erik J
Strassle, Paula D
Mensah, George A
Bandiera, Frank C
George, Stephanie M
Simonsick, Eleanor M
Brown, Colleen
Pérez-Stable, Eliseo J
Murray, Christopher J L
Mokdad, Ali H
Dwyer-Lindgren, Laura
description Fall-related mortality has increased rapidly over the past two decades in the USA, but the extent to which mortality varies across racial and ethnic populations, counties, and age groups is not well understood. The aim of this study was to estimate age-standardised mortality rates due to falls by racial and ethnic population, county, and age group over a 20-year period. Redistribution methods for insufficient cause of death codes and validated small-area estimation methods were applied 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 fall-related mortality. Estimates from 2000 to 2019 were stratified by county (n=3110) and five mutually exclusive racial and ethnic populations: American Indian or Alaska Native (AIAN), Asian or Pacific Islander (Asian), Black, Latino or Hispanic (Latino), and White. Estimates were corrected for misreporting of race and ethnicity on death certificates using published misclassification ratios. We masked (ie, did not display) estimates for county and racial and ethnic population combinations with a mean annual population of less than 1000. Age-standardised mortality is presented for all ages combined and for age groups 20–64 years (younger adults) and 65 years and older (older adults). Nationally, in 2019, the overall age-standardised fall-related mortality rate for the total population was 13·4 deaths per 100 000 population (95% uncertainty interval 13·3–13·6), an increase of 65·3% (61·9–68·8) from 8·1 deaths per 100 000 (8·0–8·3) in 2000, with the largest increases observed in older adults. Fall-related mortality at the national level was highest across all years in the AIAN population (in 2019, 15·9 deaths per 100 000 population [95% uncertainty interval 14·0–18·2]) and White population (14·8 deaths per 100 000 [14·6–15·0]), and was about half as high among the Latino (8·7 deaths per 100 000 [8·3–9·0]), Black (8·1 deaths per 100 000 [7·9–8·4]), and Asian (7·5 deaths per 100 000 [7·1–7·9]) populations. The disparities between racial and ethnic populations varied widely by age group, with mortality among younger adults highest for the AIAN population and mortality among older adults highest for the White population. The national-level patterns were observed broadly at the county level, although there was considerable spatial variation across ages and racial and ethnic populations. For younger adults, among almost all
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The aim of this study was to estimate age-standardised mortality rates due to falls by racial and ethnic population, county, and age group over a 20-year period. Redistribution methods for insufficient cause of death codes and validated small-area estimation methods were applied 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 fall-related mortality. Estimates from 2000 to 2019 were stratified by county (n=3110) and five mutually exclusive racial and ethnic populations: American Indian or Alaska Native (AIAN), Asian or Pacific Islander (Asian), Black, Latino or Hispanic (Latino), and White. Estimates were corrected for misreporting of race and ethnicity on death certificates using published misclassification ratios. We masked (ie, did not display) estimates for county and racial and ethnic population combinations with a mean annual population of less than 1000. Age-standardised mortality is presented for all ages combined and for age groups 20–64 years (younger adults) and 65 years and older (older adults). Nationally, in 2019, the overall age-standardised fall-related mortality rate for the total population was 13·4 deaths per 100 000 population (95% uncertainty interval 13·3–13·6), an increase of 65·3% (61·9–68·8) from 8·1 deaths per 100 000 (8·0–8·3) in 2000, with the largest increases observed in older adults. Fall-related mortality at the national level was highest across all years in the AIAN population (in 2019, 15·9 deaths per 100 000 population [95% uncertainty interval 14·0–18·2]) and White population (14·8 deaths per 100 000 [14·6–15·0]), and was about half as high among the Latino (8·7 deaths per 100 000 [8·3–9·0]), Black (8·1 deaths per 100 000 [7·9–8·4]), and Asian (7·5 deaths per 100 000 [7·1–7·9]) populations. The disparities between racial and ethnic populations varied widely by age group, with mortality among younger adults highest for the AIAN population and mortality among older adults highest for the White population. The national-level patterns were observed broadly at the county level, although there was considerable spatial variation across ages and racial and ethnic populations. For younger adults, among almost all counties with unmasked estimates, there was higher mortality in the AIAN population than in all other racial and ethnic populations, while there were pockets of high mortality in the Latino population, particularly in the Mountain West region. For older adults, mortality was particularly high in the White population within clusters of counties across states including Florida, Minnesota, and Wisconsin. Age-standardised mortality due to falls increased over the study period for each racial and ethnic population and almost every county. Wide variation in mortality across geography, age, and race and ethnicity highlights areas and populations that might benefit most from efficacious fall prevention interventions as well as additional prevention research. US National Institutes of Health (Intramural Research Program, National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; Intramural Research Program, 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).</description><identifier>ISSN: 2468-2667</identifier><identifier>EISSN: 2468-2667</identifier><identifier>DOI: 10.1016/S2468-2667(24)00122-1</identifier><identifier>PMID: 39095132</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Accidental Falls - mortality ; Accidental Falls - statistics &amp; numerical data ; Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; Ethnicity - statistics &amp; numerical data ; Female ; Health Status Disparities ; Humans ; Infant ; Male ; Middle Aged ; Racial Groups - statistics &amp; numerical data ; United States - epidemiology ; Young Adult</subject><ispartof>The Lancet. Public health, 2024-08, Vol.9 (8), p.e539-e550</ispartof><rights>2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license</rights><rights>Copyright © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c290t-79b2b0aaf6ada63dcb8008f3550d75938a4582cd5e1fdb9f5cf16ff4d069d5f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39095132$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kendrick, Parkes</creatorcontrib><creatorcontrib>Kelly, Yekaterina O</creatorcontrib><creatorcontrib>Baumann, Mathew M</creatorcontrib><creatorcontrib>Kahn, Ethan</creatorcontrib><creatorcontrib>Compton, Kelly</creatorcontrib><creatorcontrib>Schmidt, Chris</creatorcontrib><creatorcontrib>Sylte, Dillon O</creatorcontrib><creatorcontrib>Li, Zhuochen</creatorcontrib><creatorcontrib>La Motte-Kerr, Wichada</creatorcontrib><creatorcontrib>Daoud, Farah</creatorcontrib><creatorcontrib>Ong, Kanyin Liane</creatorcontrib><creatorcontrib>Moberg, Madeline</creatorcontrib><creatorcontrib>Hay, Simon I</creatorcontrib><creatorcontrib>Rodriquez, Erik J</creatorcontrib><creatorcontrib>Strassle, Paula D</creatorcontrib><creatorcontrib>Mensah, George A</creatorcontrib><creatorcontrib>Bandiera, Frank C</creatorcontrib><creatorcontrib>George, Stephanie M</creatorcontrib><creatorcontrib>Simonsick, Eleanor M</creatorcontrib><creatorcontrib>Brown, Colleen</creatorcontrib><creatorcontrib>Pérez-Stable, Eliseo J</creatorcontrib><creatorcontrib>Murray, Christopher J L</creatorcontrib><creatorcontrib>Mokdad, Ali H</creatorcontrib><creatorcontrib>Dwyer-Lindgren, Laura</creatorcontrib><creatorcontrib>GBD US Health Disparities Collaborators</creatorcontrib><title>Mortality due to falls by county, age group, race, and ethnicity in the USA, 2000–19: a systematic analysis of health disparities</title><title>The Lancet. Public health</title><addtitle>Lancet Public Health</addtitle><description>Fall-related mortality has increased rapidly over the past two decades in the USA, but the extent to which mortality varies across racial and ethnic populations, counties, and age groups is not well understood. The aim of this study was to estimate age-standardised mortality rates due to falls by racial and ethnic population, county, and age group over a 20-year period. Redistribution methods for insufficient cause of death codes and validated small-area estimation methods were applied 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 fall-related mortality. Estimates from 2000 to 2019 were stratified by county (n=3110) and five mutually exclusive racial and ethnic populations: American Indian or Alaska Native (AIAN), Asian or Pacific Islander (Asian), Black, Latino or Hispanic (Latino), and White. Estimates were corrected for misreporting of race and ethnicity on death certificates using published misclassification ratios. We masked (ie, did not display) estimates for county and racial and ethnic population combinations with a mean annual population of less than 1000. Age-standardised mortality is presented for all ages combined and for age groups 20–64 years (younger adults) and 65 years and older (older adults). Nationally, in 2019, the overall age-standardised fall-related mortality rate for the total population was 13·4 deaths per 100 000 population (95% uncertainty interval 13·3–13·6), an increase of 65·3% (61·9–68·8) from 8·1 deaths per 100 000 (8·0–8·3) in 2000, with the largest increases observed in older adults. Fall-related mortality at the national level was highest across all years in the AIAN population (in 2019, 15·9 deaths per 100 000 population [95% uncertainty interval 14·0–18·2]) and White population (14·8 deaths per 100 000 [14·6–15·0]), and was about half as high among the Latino (8·7 deaths per 100 000 [8·3–9·0]), Black (8·1 deaths per 100 000 [7·9–8·4]), and Asian (7·5 deaths per 100 000 [7·1–7·9]) populations. The disparities between racial and ethnic populations varied widely by age group, with mortality among younger adults highest for the AIAN population and mortality among older adults highest for the White population. The national-level patterns were observed broadly at the county level, although there was considerable spatial variation across ages and racial and ethnic populations. For younger adults, among almost all counties with unmasked estimates, there was higher mortality in the AIAN population than in all other racial and ethnic populations, while there were pockets of high mortality in the Latino population, particularly in the Mountain West region. For older adults, mortality was particularly high in the White population within clusters of counties across states including Florida, Minnesota, and Wisconsin. Age-standardised mortality due to falls increased over the study period for each racial and ethnic population and almost every county. Wide variation in mortality across geography, age, and race and ethnicity highlights areas and populations that might benefit most from efficacious fall prevention interventions as well as additional prevention research. US National Institutes of Health (Intramural Research Program, National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; Intramural Research Program, 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).</description><subject>Accidental Falls - mortality</subject><subject>Accidental Falls - statistics &amp; numerical data</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Ethnicity - statistics &amp; numerical data</subject><subject>Female</subject><subject>Health Status Disparities</subject><subject>Humans</subject><subject>Infant</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Racial Groups - statistics &amp; numerical data</subject><subject>United States - epidemiology</subject><subject>Young Adult</subject><issn>2468-2667</issn><issn>2468-2667</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcFO3DAQhq2qVUGUR2g1RyptWtuJvQkXhBC0lah6gJ4txx6zrrLxYjtIuVXqI_CGPEm9LEXcevJ49P3za-Yn5D2jnxhl8vMVb2RbcSmXR7z5SCnjvGKvyP5z-_WLeo8cpvSLFqotX8Hfkr26o51gNd8nf76HmPXg8wx2QsgBnB6GBP0MJkxjnhegbxBuYpg2C4jaYGmMFjCvRm-2Mj9CXiH8vDpdAC8uD7_vWXcMGtKcMq519qYo9DAnnyA4WKEe8gqsTxsdffaY3pE3xTTh4dN7QK4vzq_PvlaXP758Ozu9rAzvaK6WXc97qrWT2mpZW9O3lLauFoLapejqVjei5cYKZM72nRPGMelcY6nsrHD1ATnajd3EcDthymrtk8Fh0COGKamatkshWcNYQcUONTGkFNGpTfRrHWfFqNomoB4TUNvzKt6oxwTUVvfhyWLq12ifVf_uXYCTHYBlzzuPUSXjcTRofUSTlQ3-PxZ_AXNkliA</recordid><startdate>202408</startdate><enddate>202408</enddate><creator>Kendrick, Parkes</creator><creator>Kelly, Yekaterina O</creator><creator>Baumann, Mathew M</creator><creator>Kahn, Ethan</creator><creator>Compton, Kelly</creator><creator>Schmidt, Chris</creator><creator>Sylte, Dillon O</creator><creator>Li, Zhuochen</creator><creator>La Motte-Kerr, Wichada</creator><creator>Daoud, Farah</creator><creator>Ong, Kanyin Liane</creator><creator>Moberg, Madeline</creator><creator>Hay, Simon I</creator><creator>Rodriquez, Erik J</creator><creator>Strassle, Paula D</creator><creator>Mensah, George A</creator><creator>Bandiera, Frank C</creator><creator>George, Stephanie M</creator><creator>Simonsick, Eleanor M</creator><creator>Brown, Colleen</creator><creator>Pérez-Stable, Eliseo J</creator><creator>Murray, Christopher J L</creator><creator>Mokdad, Ali H</creator><creator>Dwyer-Lindgren, Laura</creator><general>Elsevier Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202408</creationdate><title>Mortality due to falls by county, age group, race, and ethnicity in the USA, 2000–19: a systematic analysis of health disparities</title><author>Kendrick, Parkes ; 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Public health</jtitle><addtitle>Lancet Public Health</addtitle><date>2024-08</date><risdate>2024</risdate><volume>9</volume><issue>8</issue><spage>e539</spage><epage>e550</epage><pages>e539-e550</pages><issn>2468-2667</issn><eissn>2468-2667</eissn><abstract>Fall-related mortality has increased rapidly over the past two decades in the USA, but the extent to which mortality varies across racial and ethnic populations, counties, and age groups is not well understood. The aim of this study was to estimate age-standardised mortality rates due to falls by racial and ethnic population, county, and age group over a 20-year period. Redistribution methods for insufficient cause of death codes and validated small-area estimation methods were applied 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 fall-related mortality. Estimates from 2000 to 2019 were stratified by county (n=3110) and five mutually exclusive racial and ethnic populations: American Indian or Alaska Native (AIAN), Asian or Pacific Islander (Asian), Black, Latino or Hispanic (Latino), and White. Estimates were corrected for misreporting of race and ethnicity on death certificates using published misclassification ratios. We masked (ie, did not display) estimates for county and racial and ethnic population combinations with a mean annual population of less than 1000. Age-standardised mortality is presented for all ages combined and for age groups 20–64 years (younger adults) and 65 years and older (older adults). Nationally, in 2019, the overall age-standardised fall-related mortality rate for the total population was 13·4 deaths per 100 000 population (95% uncertainty interval 13·3–13·6), an increase of 65·3% (61·9–68·8) from 8·1 deaths per 100 000 (8·0–8·3) in 2000, with the largest increases observed in older adults. Fall-related mortality at the national level was highest across all years in the AIAN population (in 2019, 15·9 deaths per 100 000 population [95% uncertainty interval 14·0–18·2]) and White population (14·8 deaths per 100 000 [14·6–15·0]), and was about half as high among the Latino (8·7 deaths per 100 000 [8·3–9·0]), Black (8·1 deaths per 100 000 [7·9–8·4]), and Asian (7·5 deaths per 100 000 [7·1–7·9]) populations. The disparities between racial and ethnic populations varied widely by age group, with mortality among younger adults highest for the AIAN population and mortality among older adults highest for the White population. The national-level patterns were observed broadly at the county level, although there was considerable spatial variation across ages and racial and ethnic populations. For younger adults, among almost all counties with unmasked estimates, there was higher mortality in the AIAN population than in all other racial and ethnic populations, while there were pockets of high mortality in the Latino population, particularly in the Mountain West region. For older adults, mortality was particularly high in the White population within clusters of counties across states including Florida, Minnesota, and Wisconsin. Age-standardised mortality due to falls increased over the study period for each racial and ethnic population and almost every county. Wide variation in mortality across geography, age, and race and ethnicity highlights areas and populations that might benefit most from efficacious fall prevention interventions as well as additional prevention research. US National Institutes of Health (Intramural Research Program, National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; Intramural Research Program, 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).</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>39095132</pmid><doi>10.1016/S2468-2667(24)00122-1</doi><oa>free_for_read</oa></addata></record>
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language eng
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source MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Accidental Falls - mortality
Accidental Falls - statistics & numerical data
Adolescent
Adult
Aged
Aged, 80 and over
Child
Child, Preschool
Ethnicity - statistics & numerical data
Female
Health Status Disparities
Humans
Infant
Male
Middle Aged
Racial Groups - statistics & numerical data
United States - epidemiology
Young Adult
title Mortality due to falls by county, age group, race, and ethnicity in the USA, 2000–19: a systematic analysis of health disparities
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