Disparities in Health and Economic Burdens of Cancer Attributable to Suboptimal Diet in the United States, 2015‒2018
To quantify disparities in health and economic burdens of cancer attributable to suboptimal diet among US adults. Using a probabilistic cohort state-transition model, we estimated the number of new cancer cases and cancer deaths, and economic costs of 15 diet-related cancers attributable to suboptim...
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Veröffentlicht in: | American journal of public health (1971) 2021-11, Vol.111 (11), p.2008-2018 |
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container_start_page | 2008 |
container_title | American journal of public health (1971) |
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creator | Wang, Lu Du, Mengxi Cudhea, Frederick Griecci, Christina Michaud, Dominique S Mozaffarian, Dariush Zhang, Fang Fang |
description | To quantify disparities in health and economic burdens of cancer attributable to suboptimal diet among US adults.
Using a probabilistic cohort state-transition model, we estimated the number of new cancer cases and cancer deaths, and economic costs of 15 diet-related cancers attributable to suboptimal intake of 7 dietary factors (a low intake of fruits, vegetables, dairy, and whole grains and a high intake of red and processed meats and sugar-sweetened beverages) among a closed cohort of US adults starting in 2017.
Suboptimal diet was estimated to contribute to 3.04 (95% uncertainty interval [UI] = 2.88, 3.20) million new cancer cases, 1.74 (95% UI = 1.65, 1.84) million cancer deaths, and $254 (95% UI = $242, $267) billion economic costs among US adults aged 20 years or older over a lifetime. Diet-attributable cancer burdens were higher among younger adults, men, non-Hispanic Blacks, and individuals with lower education and income attainments than other population subgroups. The largest disparities were for cancers attributable to high consumption of sugar-sweetened beverages and low consumption of whole grains.
Suboptimal diet contributes to substantial disparities in health and economic burdens of cancer among young adults, men, racial/ethnic minorities, and socioeconomically disadvantaged groups. (
. 2021;111(11):2008-2018. https://doi.org/10.2105/AJPH.2021.306475). |
doi_str_mv | 10.2105/AJPH.2021.306475 |
format | Article |
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Using a probabilistic cohort state-transition model, we estimated the number of new cancer cases and cancer deaths, and economic costs of 15 diet-related cancers attributable to suboptimal intake of 7 dietary factors (a low intake of fruits, vegetables, dairy, and whole grains and a high intake of red and processed meats and sugar-sweetened beverages) among a closed cohort of US adults starting in 2017.
Suboptimal diet was estimated to contribute to 3.04 (95% uncertainty interval [UI] = 2.88, 3.20) million new cancer cases, 1.74 (95% UI = 1.65, 1.84) million cancer deaths, and $254 (95% UI = $242, $267) billion economic costs among US adults aged 20 years or older over a lifetime. Diet-attributable cancer burdens were higher among younger adults, men, non-Hispanic Blacks, and individuals with lower education and income attainments than other population subgroups. The largest disparities were for cancers attributable to high consumption of sugar-sweetened beverages and low consumption of whole grains.
Suboptimal diet contributes to substantial disparities in health and economic burdens of cancer among young adults, men, racial/ethnic minorities, and socioeconomically disadvantaged groups. (
. 2021;111(11):2008-2018. https://doi.org/10.2105/AJPH.2021.306475).</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.2021.306475</identifier><identifier>PMID: 34648383</identifier><language>eng</language><publisher>United States: American Public Health Association</publisher><subject>Adult ; Adults ; Aged ; Beverages ; Body mass index ; Cancer ; Cancer research ; Cohort analysis ; Colorectal cancer ; Consumption ; Costs ; Cultural differences ; Dairy products ; Diet ; Dietary intake ; Disadvantaged ; Disadvantaged groups ; Disease prevention ; Economic impact ; Economics ; Education ; Estimates ; Ethnicity ; Fatalities ; Feeding Behavior ; Female ; Food stamps ; Fruits ; Grain ; Health ; Health Status Disparities ; Health Policy ; Hispanic people ; Humans ; Incidence ; Larynx ; Male ; Medical research ; Middle Aged ; Minority & ethnic groups ; Minority groups ; Neoplasms - economics ; Neoplasms - epidemiology ; Neoplasms - mortality ; Nutrition research ; Nutrition Surveys ; Nutrition/Food ; Obesity ; Other Race/Ethnicity ; Population ; Prevention ; Public health ; Race ; Research & Analysis ; Risk Factors ; Socioeconomic Factors ; Subgroups ; Sugar ; United States - epidemiology ; Vegetables ; Young adults</subject><ispartof>American journal of public health (1971), 2021-11, Vol.111 (11), p.2008-2018</ispartof><rights>Copyright American Public Health Association Nov 2021</rights><rights>American Public Health Association 2021 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-864f3dcd019441faa3356666bfc6f15aa06c95290f5a8894dd8568de029cea8b3</citedby><cites>FETCH-LOGICAL-c424t-864f3dcd019441faa3356666bfc6f15aa06c95290f5a8894dd8568de029cea8b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630501/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630501/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27845,27903,27904,53770,53772</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34648383$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Du, Mengxi</creatorcontrib><creatorcontrib>Cudhea, Frederick</creatorcontrib><creatorcontrib>Griecci, Christina</creatorcontrib><creatorcontrib>Michaud, Dominique S</creatorcontrib><creatorcontrib>Mozaffarian, Dariush</creatorcontrib><creatorcontrib>Zhang, Fang Fang</creatorcontrib><title>Disparities in Health and Economic Burdens of Cancer Attributable to Suboptimal Diet in the United States, 2015‒2018</title><title>American journal of public health (1971)</title><addtitle>Am J Public Health</addtitle><description>To quantify disparities in health and economic burdens of cancer attributable to suboptimal diet among US adults.
Using a probabilistic cohort state-transition model, we estimated the number of new cancer cases and cancer deaths, and economic costs of 15 diet-related cancers attributable to suboptimal intake of 7 dietary factors (a low intake of fruits, vegetables, dairy, and whole grains and a high intake of red and processed meats and sugar-sweetened beverages) among a closed cohort of US adults starting in 2017.
Suboptimal diet was estimated to contribute to 3.04 (95% uncertainty interval [UI] = 2.88, 3.20) million new cancer cases, 1.74 (95% UI = 1.65, 1.84) million cancer deaths, and $254 (95% UI = $242, $267) billion economic costs among US adults aged 20 years or older over a lifetime. Diet-attributable cancer burdens were higher among younger adults, men, non-Hispanic Blacks, and individuals with lower education and income attainments than other population subgroups. The largest disparities were for cancers attributable to high consumption of sugar-sweetened beverages and low consumption of whole grains.
Suboptimal diet contributes to substantial disparities in health and economic burdens of cancer among young adults, men, racial/ethnic minorities, and socioeconomically disadvantaged groups. (
. 2021;111(11):2008-2018. https://doi.org/10.2105/AJPH.2021.306475).</description><subject>Adult</subject><subject>Adults</subject><subject>Aged</subject><subject>Beverages</subject><subject>Body mass index</subject><subject>Cancer</subject><subject>Cancer research</subject><subject>Cohort analysis</subject><subject>Colorectal cancer</subject><subject>Consumption</subject><subject>Costs</subject><subject>Cultural differences</subject><subject>Dairy products</subject><subject>Diet</subject><subject>Dietary intake</subject><subject>Disadvantaged</subject><subject>Disadvantaged groups</subject><subject>Disease prevention</subject><subject>Economic impact</subject><subject>Economics</subject><subject>Education</subject><subject>Estimates</subject><subject>Ethnicity</subject><subject>Fatalities</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Food stamps</subject><subject>Fruits</subject><subject>Grain</subject><subject>Health</subject><subject>Health Status Disparities</subject><subject>Health Policy</subject><subject>Hispanic people</subject><subject>Humans</subject><subject>Incidence</subject><subject>Larynx</subject><subject>Male</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>Minority groups</subject><subject>Neoplasms - economics</subject><subject>Neoplasms - epidemiology</subject><subject>Neoplasms - mortality</subject><subject>Nutrition research</subject><subject>Nutrition Surveys</subject><subject>Nutrition/Food</subject><subject>Obesity</subject><subject>Other Race/Ethnicity</subject><subject>Population</subject><subject>Prevention</subject><subject>Public health</subject><subject>Race</subject><subject>Research & Analysis</subject><subject>Risk Factors</subject><subject>Socioeconomic Factors</subject><subject>Subgroups</subject><subject>Sugar</subject><subject>United States - epidemiology</subject><subject>Vegetables</subject><subject>Young 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in Health and Economic Burdens of Cancer Attributable to Suboptimal Diet in the United States, 2015‒2018</title><author>Wang, Lu ; Du, Mengxi ; Cudhea, Frederick ; Griecci, Christina ; Michaud, Dominique S ; Mozaffarian, Dariush ; Zhang, Fang Fang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-864f3dcd019441faa3356666bfc6f15aa06c95290f5a8894dd8568de029cea8b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Aged</topic><topic>Beverages</topic><topic>Body mass index</topic><topic>Cancer</topic><topic>Cancer research</topic><topic>Cohort analysis</topic><topic>Colorectal cancer</topic><topic>Consumption</topic><topic>Costs</topic><topic>Cultural differences</topic><topic>Dairy products</topic><topic>Diet</topic><topic>Dietary intake</topic><topic>Disadvantaged</topic><topic>Disadvantaged groups</topic><topic>Disease prevention</topic><topic>Economic impact</topic><topic>Economics</topic><topic>Education</topic><topic>Estimates</topic><topic>Ethnicity</topic><topic>Fatalities</topic><topic>Feeding Behavior</topic><topic>Female</topic><topic>Food stamps</topic><topic>Fruits</topic><topic>Grain</topic><topic>Health</topic><topic>Health Status Disparities</topic><topic>Health Policy</topic><topic>Hispanic people</topic><topic>Humans</topic><topic>Incidence</topic><topic>Larynx</topic><topic>Male</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>Minority groups</topic><topic>Neoplasms - economics</topic><topic>Neoplasms - epidemiology</topic><topic>Neoplasms - mortality</topic><topic>Nutrition research</topic><topic>Nutrition Surveys</topic><topic>Nutrition/Food</topic><topic>Obesity</topic><topic>Other Race/Ethnicity</topic><topic>Population</topic><topic>Prevention</topic><topic>Public health</topic><topic>Race</topic><topic>Research & 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and Economic Burdens of Cancer Attributable to Suboptimal Diet in the United States, 2015‒2018</atitle><jtitle>American journal of public health (1971)</jtitle><addtitle>Am J Public Health</addtitle><date>2021-11</date><risdate>2021</risdate><volume>111</volume><issue>11</issue><spage>2008</spage><epage>2018</epage><pages>2008-2018</pages><issn>0090-0036</issn><eissn>1541-0048</eissn><abstract>To quantify disparities in health and economic burdens of cancer attributable to suboptimal diet among US adults.
Using a probabilistic cohort state-transition model, we estimated the number of new cancer cases and cancer deaths, and economic costs of 15 diet-related cancers attributable to suboptimal intake of 7 dietary factors (a low intake of fruits, vegetables, dairy, and whole grains and a high intake of red and processed meats and sugar-sweetened beverages) among a closed cohort of US adults starting in 2017.
Suboptimal diet was estimated to contribute to 3.04 (95% uncertainty interval [UI] = 2.88, 3.20) million new cancer cases, 1.74 (95% UI = 1.65, 1.84) million cancer deaths, and $254 (95% UI = $242, $267) billion economic costs among US adults aged 20 years or older over a lifetime. Diet-attributable cancer burdens were higher among younger adults, men, non-Hispanic Blacks, and individuals with lower education and income attainments than other population subgroups. The largest disparities were for cancers attributable to high consumption of sugar-sweetened beverages and low consumption of whole grains.
Suboptimal diet contributes to substantial disparities in health and economic burdens of cancer among young adults, men, racial/ethnic minorities, and socioeconomically disadvantaged groups. (
. 2021;111(11):2008-2018. https://doi.org/10.2105/AJPH.2021.306475).</abstract><cop>United States</cop><pub>American Public Health Association</pub><pmid>34648383</pmid><doi>10.2105/AJPH.2021.306475</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Adults Aged Beverages Body mass index Cancer Cancer research Cohort analysis Colorectal cancer Consumption Costs Cultural differences Dairy products Diet Dietary intake Disadvantaged Disadvantaged groups Disease prevention Economic impact Economics Education Estimates Ethnicity Fatalities Feeding Behavior Female Food stamps Fruits Grain Health Health Status Disparities Health Policy Hispanic people Humans Incidence Larynx Male Medical research Middle Aged Minority & ethnic groups Minority groups Neoplasms - economics Neoplasms - epidemiology Neoplasms - mortality Nutrition research Nutrition Surveys Nutrition/Food Obesity Other Race/Ethnicity Population Prevention Public health Race Research & Analysis Risk Factors Socioeconomic Factors Subgroups Sugar United States - epidemiology Vegetables Young adults |
title | Disparities in Health and Economic Burdens of Cancer Attributable to Suboptimal Diet in the United States, 2015‒2018 |
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