Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks

The Prevention Impacts Simulation Model (PRISM) projects the multiyear impacts of 22 different interventions aimed at reducing risk of cardiovascular disease. We grouped these into 4 categories: clinical, behavioral support, health promotion and access, and taxes and regulation. We simulated impacts...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:American journal of public health (1971) 2014-07, Vol.104 (7), p.1187-1195
Hauptverfasser: HIRSCH, Gary, HOMER, Jack, TROGDON, Justin, WILE, Kristina, ORENSTEIN, Diane
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1195
container_issue 7
container_start_page 1187
container_title American journal of public health (1971)
container_volume 104
creator HIRSCH, Gary
HOMER, Jack
TROGDON, Justin
WILE, Kristina
ORENSTEIN, Diane
description The Prevention Impacts Simulation Model (PRISM) projects the multiyear impacts of 22 different interventions aimed at reducing risk of cardiovascular disease. We grouped these into 4 categories: clinical, behavioral support, health promotion and access, and taxes and regulation. We simulated impacts for the United States overall and also for a less-advantaged county with a higher death rate. Of the 4 categories of intervention, taxes and regulation reduce costs the most in the short term (through 2020) and long term (through 2040) and reduce deaths the most in the long term; they are second to clinical interventions in reducing deaths in the short term. All 4 categories combined were required to bring costs and deaths in the less-advantaged county down to the national level.
doi_str_mv 10.2105/AJPH.2013.301816
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4056242</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1561038102</sourcerecordid><originalsourceid>FETCH-LOGICAL-c487t-743d759aef0dad8aa479ae7cc46073b5675c136e86405156fe704db42bce31503</originalsourceid><addsrcrecordid>eNqNkU1v1DAQhi1ERZfCnROyhJC47DKOv5ILUhU-2qoSqNCz5TiTxSWJt3ayEv8eL7st0BMn2_Izr2f8EPKCwapgIN-eXnw5WxXA-IoDK5l6RBZMCrYEEOVjsgCoIO-5OiZPU7oBYKyS7Ak5LkTJCyaKBWmukx_X9Ksf5t5OPox0CrQOw8ZGpILWdsJ1iB4TDR09HyeMWxx_c12I9Arb2e3qaxtbH7Y2uRwT6Xuf0CakVz79SM_IUWf7hM8P6wm5_vjhW322vPz86bw-vVw6UeppqQVvtawsdtDatrRW6HzQzgkFmjdSaekYV1gqAZJJ1aEG0TaiaBxyJoGfkHf73M3cDNi63Ge0vdlEP9j40wTrzb83o_9u1mFrcp4qRJED3hwCYridMU1m8Mlh39sRw5xMfpQBLxn8D8pzpqoEz-irB-hNmOOYfyJTQkoOGmSmYE-5GFKK2N33zcDsXJuda7Nzbfauc8nLv-e9L7iTm4HXByB7sX0X7eh8-sOVeZxSVfwX_DqxQw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1545530705</pqid></control><display><type>article</type><title>Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks</title><source>MEDLINE</source><source>PAIS Index</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>EBSCOhost Business Source Complete</source><creator>HIRSCH, Gary ; HOMER, Jack ; TROGDON, Justin ; WILE, Kristina ; ORENSTEIN, Diane</creator><creatorcontrib>HIRSCH, Gary ; HOMER, Jack ; TROGDON, Justin ; WILE, Kristina ; ORENSTEIN, Diane</creatorcontrib><description>The Prevention Impacts Simulation Model (PRISM) projects the multiyear impacts of 22 different interventions aimed at reducing risk of cardiovascular disease. We grouped these into 4 categories: clinical, behavioral support, health promotion and access, and taxes and regulation. We simulated impacts for the United States overall and also for a less-advantaged county with a higher death rate. Of the 4 categories of intervention, taxes and regulation reduce costs the most in the short term (through 2020) and long term (through 2040) and reduce deaths the most in the long term; they are second to clinical interventions in reducing deaths in the short term. All 4 categories combined were required to bring costs and deaths in the less-advantaged county down to the national level.</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.2013.301816</identifier><identifier>PMID: 24832142</identifier><identifier>CODEN: AJPEAG</identifier><language>eng</language><publisher>Washington, DC: American Public Health Association</publisher><subject>Adolescent ; Adult ; Age ; Aged ; Air pollution ; Behavior ; Biological and medical sciences ; Blood Glucose ; Blood Pressure ; Body Mass Index ; Cardiovascular Disease ; Cardiovascular Diseases - prevention &amp; control ; Cholesterol ; Chronic illnesses ; Community Health ; Computer Simulation ; Costs ; Diabetes ; Disease control ; Disease prevention ; Female ; Framing Health Matters ; General aspects ; Health Behavior ; Health care expenditures ; Health Promotion ; Humans ; Hyperlipidemia ; Intervention ; Lipids - blood ; Male ; Medical sciences ; Middle Aged ; Miscellaneous ; Mortality ; Outdoor air quality ; Poverty Areas ; Prevention ; Public Health ; Public Health Practice ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Regulation ; Risk Factors ; Risk Reduction Behavior ; Smoking ; Socioeconomic Factors ; Studies ; Taxes ; United States ; Young Adult</subject><ispartof>American journal of public health (1971), 2014-07, Vol.104 (7), p.1187-1195</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright American Public Health Association Jul 2014</rights><rights>American Public Health Association 2014 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c487t-743d759aef0dad8aa479ae7cc46073b5675c136e86405156fe704db42bce31503</citedby><cites>FETCH-LOGICAL-c487t-743d759aef0dad8aa479ae7cc46073b5675c136e86405156fe704db42bce31503</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/PMC4056242/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4056242/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27843,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=28610869$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24832142$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>HIRSCH, Gary</creatorcontrib><creatorcontrib>HOMER, Jack</creatorcontrib><creatorcontrib>TROGDON, Justin</creatorcontrib><creatorcontrib>WILE, Kristina</creatorcontrib><creatorcontrib>ORENSTEIN, Diane</creatorcontrib><title>Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks</title><title>American journal of public health (1971)</title><addtitle>Am J Public Health</addtitle><description>The Prevention Impacts Simulation Model (PRISM) projects the multiyear impacts of 22 different interventions aimed at reducing risk of cardiovascular disease. We grouped these into 4 categories: clinical, behavioral support, health promotion and access, and taxes and regulation. We simulated impacts for the United States overall and also for a less-advantaged county with a higher death rate. Of the 4 categories of intervention, taxes and regulation reduce costs the most in the short term (through 2020) and long term (through 2040) and reduce deaths the most in the long term; they are second to clinical interventions in reducing deaths in the short term. All 4 categories combined were required to bring costs and deaths in the less-advantaged county down to the national level.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Air pollution</subject><subject>Behavior</subject><subject>Biological and medical sciences</subject><subject>Blood Glucose</subject><subject>Blood Pressure</subject><subject>Body Mass Index</subject><subject>Cardiovascular Disease</subject><subject>Cardiovascular Diseases - prevention &amp; control</subject><subject>Cholesterol</subject><subject>Chronic illnesses</subject><subject>Community Health</subject><subject>Computer Simulation</subject><subject>Costs</subject><subject>Diabetes</subject><subject>Disease control</subject><subject>Disease prevention</subject><subject>Female</subject><subject>Framing Health Matters</subject><subject>General aspects</subject><subject>Health Behavior</subject><subject>Health care expenditures</subject><subject>Health Promotion</subject><subject>Humans</subject><subject>Hyperlipidemia</subject><subject>Intervention</subject><subject>Lipids - blood</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Mortality</subject><subject>Outdoor air quality</subject><subject>Poverty Areas</subject><subject>Prevention</subject><subject>Public Health</subject><subject>Public Health Practice</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Regulation</subject><subject>Risk Factors</subject><subject>Risk Reduction Behavior</subject><subject>Smoking</subject><subject>Socioeconomic Factors</subject><subject>Studies</subject><subject>Taxes</subject><subject>United States</subject><subject>Young Adult</subject><issn>0090-0036</issn><issn>1541-0048</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkU1v1DAQhi1ERZfCnROyhJC47DKOv5ILUhU-2qoSqNCz5TiTxSWJt3ayEv8eL7st0BMn2_Izr2f8EPKCwapgIN-eXnw5WxXA-IoDK5l6RBZMCrYEEOVjsgCoIO-5OiZPU7oBYKyS7Ak5LkTJCyaKBWmukx_X9Ksf5t5OPox0CrQOw8ZGpILWdsJ1iB4TDR09HyeMWxx_c12I9Arb2e3qaxtbH7Y2uRwT6Xuf0CakVz79SM_IUWf7hM8P6wm5_vjhW322vPz86bw-vVw6UeppqQVvtawsdtDatrRW6HzQzgkFmjdSaekYV1gqAZJJ1aEG0TaiaBxyJoGfkHf73M3cDNi63Ge0vdlEP9j40wTrzb83o_9u1mFrcp4qRJED3hwCYridMU1m8Mlh39sRw5xMfpQBLxn8D8pzpqoEz-irB-hNmOOYfyJTQkoOGmSmYE-5GFKK2N33zcDsXJuda7Nzbfauc8nLv-e9L7iTm4HXByB7sX0X7eh8-sOVeZxSVfwX_DqxQw</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>HIRSCH, Gary</creator><creator>HOMER, Jack</creator><creator>TROGDON, Justin</creator><creator>WILE, Kristina</creator><creator>ORENSTEIN, Diane</creator><general>American Public Health Association</general><scope>IQODW</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>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7RV</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88C</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>88J</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>LK8</scope><scope>M0C</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2L</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>POGQB</scope><scope>PPXIY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRQQA</scope><scope>PSYQQ</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>5PM</scope></search><sort><creationdate>20140701</creationdate><title>Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks</title><author>HIRSCH, Gary ; HOMER, Jack ; TROGDON, Justin ; WILE, Kristina ; ORENSTEIN, Diane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c487t-743d759aef0dad8aa479ae7cc46073b5675c136e86405156fe704db42bce31503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Air pollution</topic><topic>Behavior</topic><topic>Biological and medical sciences</topic><topic>Blood Glucose</topic><topic>Blood Pressure</topic><topic>Body Mass Index</topic><topic>Cardiovascular Disease</topic><topic>Cardiovascular Diseases - prevention &amp; control</topic><topic>Cholesterol</topic><topic>Chronic illnesses</topic><topic>Community Health</topic><topic>Computer Simulation</topic><topic>Costs</topic><topic>Diabetes</topic><topic>Disease control</topic><topic>Disease prevention</topic><topic>Female</topic><topic>Framing Health Matters</topic><topic>General aspects</topic><topic>Health Behavior</topic><topic>Health care expenditures</topic><topic>Health Promotion</topic><topic>Humans</topic><topic>Hyperlipidemia</topic><topic>Intervention</topic><topic>Lipids - blood</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Mortality</topic><topic>Outdoor air quality</topic><topic>Poverty Areas</topic><topic>Prevention</topic><topic>Public Health</topic><topic>Public Health Practice</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Regulation</topic><topic>Risk Factors</topic><topic>Risk Reduction Behavior</topic><topic>Smoking</topic><topic>Socioeconomic Factors</topic><topic>Studies</topic><topic>Taxes</topic><topic>United States</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>HIRSCH, Gary</creatorcontrib><creatorcontrib>HOMER, Jack</creatorcontrib><creatorcontrib>TROGDON, Justin</creatorcontrib><creatorcontrib>WILE, Kristina</creatorcontrib><creatorcontrib>ORENSTEIN, Diane</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News &amp; ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>PAIS Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Biological Science Collection</collection><collection>ABI/INFORM Global</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Political Science Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Social Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health &amp; Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest Sociology &amp; Social Sciences Collection</collection><collection>ProQuest One Health &amp; Nursing</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied &amp; Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Social Sciences</collection><collection>ProQuest One Psychology</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of public health (1971)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>HIRSCH, Gary</au><au>HOMER, Jack</au><au>TROGDON, Justin</au><au>WILE, Kristina</au><au>ORENSTEIN, Diane</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks</atitle><jtitle>American journal of public health (1971)</jtitle><addtitle>Am J Public Health</addtitle><date>2014-07-01</date><risdate>2014</risdate><volume>104</volume><issue>7</issue><spage>1187</spage><epage>1195</epage><pages>1187-1195</pages><issn>0090-0036</issn><eissn>1541-0048</eissn><coden>AJPEAG</coden><abstract>The Prevention Impacts Simulation Model (PRISM) projects the multiyear impacts of 22 different interventions aimed at reducing risk of cardiovascular disease. We grouped these into 4 categories: clinical, behavioral support, health promotion and access, and taxes and regulation. We simulated impacts for the United States overall and also for a less-advantaged county with a higher death rate. Of the 4 categories of intervention, taxes and regulation reduce costs the most in the short term (through 2020) and long term (through 2040) and reduce deaths the most in the long term; they are second to clinical interventions in reducing deaths in the short term. All 4 categories combined were required to bring costs and deaths in the less-advantaged county down to the national level.</abstract><cop>Washington, DC</cop><pub>American Public Health Association</pub><pmid>24832142</pmid><doi>10.2105/AJPH.2013.301816</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0090-0036
ispartof American journal of public health (1971), 2014-07, Vol.104 (7), p.1187-1195
issn 0090-0036
1541-0048
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4056242
source MEDLINE; PAIS Index; PubMed Central; Alma/SFX Local Collection; EBSCOhost Business Source Complete
subjects Adolescent
Adult
Age
Aged
Air pollution
Behavior
Biological and medical sciences
Blood Glucose
Blood Pressure
Body Mass Index
Cardiovascular Disease
Cardiovascular Diseases - prevention & control
Cholesterol
Chronic illnesses
Community Health
Computer Simulation
Costs
Diabetes
Disease control
Disease prevention
Female
Framing Health Matters
General aspects
Health Behavior
Health care expenditures
Health Promotion
Humans
Hyperlipidemia
Intervention
Lipids - blood
Male
Medical sciences
Middle Aged
Miscellaneous
Mortality
Outdoor air quality
Poverty Areas
Prevention
Public Health
Public Health Practice
Public health. Hygiene
Public health. Hygiene-occupational medicine
Regulation
Risk Factors
Risk Reduction Behavior
Smoking
Socioeconomic Factors
Studies
Taxes
United States
Young Adult
title Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T15%3A18%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20Simulation%20to%20Compare%204%20Categories%20of%20Intervention%20for%20Reducing%20Cardiovascular%20Disease%20Risks&rft.jtitle=American%20journal%20of%20public%20health%20(1971)&rft.au=HIRSCH,%20Gary&rft.date=2014-07-01&rft.volume=104&rft.issue=7&rft.spage=1187&rft.epage=1195&rft.pages=1187-1195&rft.issn=0090-0036&rft.eissn=1541-0048&rft.coden=AJPEAG&rft_id=info:doi/10.2105/AJPH.2013.301816&rft_dat=%3Cproquest_pubme%3E1561038102%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1545530705&rft_id=info:pmid/24832142&rfr_iscdi=true