Tobacco Policies in Louisiana: Recommendations for Future Tobacco Control Investment from SimSmoke, a Policy Simulation Model
Despite the presence of tobacco control policies, Louisiana continues to experience a high smoking burden and elevated smoking-attributable deaths. The SimSmoke model provides projections of these health outcomes in the face of existing and expanded (simulated) tobacco control polices. The SimSmoke...
Gespeichert in:
Veröffentlicht in: | Prevention science 2016-02, Vol.17 (2), p.199-207 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 207 |
---|---|
container_issue | 2 |
container_start_page | 199 |
container_title | Prevention science |
container_volume | 17 |
creator | Levy, David Fergus, Cristin Rudov, Lindsey McCormick-Ricket, Iben Carton, Thomas |
description | Despite the presence of tobacco control policies, Louisiana continues to experience a high smoking burden and elevated smoking-attributable deaths. The SimSmoke model provides projections of these health outcomes in the face of existing and expanded (simulated) tobacco control polices. The SimSmoke model utilizes population data, smoking rates, and various tobacco control policy measures from Louisiana to predict smoking prevalence and smoking-attributable deaths. The model begins in 1993 and estimates are projected through 2054. The model is validated against existing Louisiana smoking prevalence data. The most powerful individual policy measure for reducing smoking prevalence is cigarette excise tax. However, a comprehensive cessation treatment policy is predicted to save the most lives. A combination of tobacco control policies provides the greatest reduction in smoking prevalence and smoking-attributable deaths. The existing Louisiana excise tax ranks as one of the lowest in the country and the legislature is against further increases. Alternative policy measures aimed at lowering prevalence and attributable deaths are: cessation treatments, comprehensive smoke-free policies, and limiting youth access. These three policies have a substantial effect on smoking prevalence and attributable deaths and are likely to encounter more favor in the Louisiana legislature than increasing the state excise tax. |
doi_str_mv | 10.1007/s11121-015-0587-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1760871822</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1760871822</sourcerecordid><originalsourceid>FETCH-LOGICAL-c442t-3d2bc981dfe7f88fed743cceac20f051d78ae2f298b6201782c1464559dd0d473</originalsourceid><addsrcrecordid>eNp1kU1rFTEUhoMotlZ_QDcScNOFY3Myk4_prlxaLVyx2LoOufkoqTNJm8wIXfjfzTitiOAqh5znPOfAi9AhkA9AiDguAEChIcAawqRo6DO0D0y0Dec9e17rVvZN10u-h16VcksIcNaSl2iP8hY6ycU--nmddtqYhC_TEExwBYeIt2kOJeioT_BXZ9I4umj1FFIs2KeMz-dpzg4_TW5SnHIa8EX84cpU2Qn7nEZ8FcarMX1377Fe7Q_L1zz8NuHPybrhNXrh9VDcm8f3AH07P7vefGq2Xz5ebE63jek6OjWtpTvTS7DeCS-ld1Z0rTFOG0o8YWCF1I562ssdpwSEpAY63jHWW0tsJ9oDdLR673K6n-uVagzFuGHQ0aW5KBCcSAGS0oq--we9TXOO9bpKMUl6xvtFCCtlciolO6_uchh1flBA1JKNWrNRNRu1ZKMW89tH87wbnf0z8RRGBegKlNqKNy7_tfq_1l_WYpo6</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1758095697</pqid></control><display><type>article</type><title>Tobacco Policies in Louisiana: Recommendations for Future Tobacco Control Investment from SimSmoke, a Policy Simulation Model</title><source>MEDLINE</source><source>PAIS Index</source><source>SpringerLink Journals</source><creator>Levy, David ; Fergus, Cristin ; Rudov, Lindsey ; McCormick-Ricket, Iben ; Carton, Thomas</creator><creatorcontrib>Levy, David ; Fergus, Cristin ; Rudov, Lindsey ; McCormick-Ricket, Iben ; Carton, Thomas</creatorcontrib><description>Despite the presence of tobacco control policies, Louisiana continues to experience a high smoking burden and elevated smoking-attributable deaths. The SimSmoke model provides projections of these health outcomes in the face of existing and expanded (simulated) tobacco control polices. The SimSmoke model utilizes population data, smoking rates, and various tobacco control policy measures from Louisiana to predict smoking prevalence and smoking-attributable deaths. The model begins in 1993 and estimates are projected through 2054. The model is validated against existing Louisiana smoking prevalence data. The most powerful individual policy measure for reducing smoking prevalence is cigarette excise tax. However, a comprehensive cessation treatment policy is predicted to save the most lives. A combination of tobacco control policies provides the greatest reduction in smoking prevalence and smoking-attributable deaths. The existing Louisiana excise tax ranks as one of the lowest in the country and the legislature is against further increases. Alternative policy measures aimed at lowering prevalence and attributable deaths are: cessation treatments, comprehensive smoke-free policies, and limiting youth access. These three policies have a substantial effect on smoking prevalence and attributable deaths and are likely to encounter more favor in the Louisiana legislature than increasing the state excise tax.</description><identifier>ISSN: 1389-4986</identifier><identifier>EISSN: 1573-6695</identifier><identifier>DOI: 10.1007/s11121-015-0587-2</identifier><identifier>PMID: 26314867</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Cancer ; Census of Population ; Child and School Psychology ; Datasets ; Disease control ; Disease prevention ; Economic indicators ; Excise taxes ; Female ; Health care policy ; Health Planning Guidelines ; Health Policy ; Health Psychology ; Humans ; Investments ; Legislation ; Legislatures ; Louisiana ; Male ; Medicine ; Medicine & Public Health ; Models, Theoretical ; Policy Making ; Population policy ; Prevalence ; Public Health ; Simulation ; Smoking ; Smoking - legislation & jurisprudence ; Tax increases ; Taxation ; Trends ; Youth</subject><ispartof>Prevention science, 2016-02, Vol.17 (2), p.199-207</ispartof><rights>Society for Prevention Research 2015</rights><rights>Society for Prevention Research 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-3d2bc981dfe7f88fed743cceac20f051d78ae2f298b6201782c1464559dd0d473</citedby><cites>FETCH-LOGICAL-c442t-3d2bc981dfe7f88fed743cceac20f051d78ae2f298b6201782c1464559dd0d473</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11121-015-0587-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11121-015-0587-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27845,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26314867$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Levy, David</creatorcontrib><creatorcontrib>Fergus, Cristin</creatorcontrib><creatorcontrib>Rudov, Lindsey</creatorcontrib><creatorcontrib>McCormick-Ricket, Iben</creatorcontrib><creatorcontrib>Carton, Thomas</creatorcontrib><title>Tobacco Policies in Louisiana: Recommendations for Future Tobacco Control Investment from SimSmoke, a Policy Simulation Model</title><title>Prevention science</title><addtitle>Prev Sci</addtitle><addtitle>Prev Sci</addtitle><description>Despite the presence of tobacco control policies, Louisiana continues to experience a high smoking burden and elevated smoking-attributable deaths. The SimSmoke model provides projections of these health outcomes in the face of existing and expanded (simulated) tobacco control polices. The SimSmoke model utilizes population data, smoking rates, and various tobacco control policy measures from Louisiana to predict smoking prevalence and smoking-attributable deaths. The model begins in 1993 and estimates are projected through 2054. The model is validated against existing Louisiana smoking prevalence data. The most powerful individual policy measure for reducing smoking prevalence is cigarette excise tax. However, a comprehensive cessation treatment policy is predicted to save the most lives. A combination of tobacco control policies provides the greatest reduction in smoking prevalence and smoking-attributable deaths. The existing Louisiana excise tax ranks as one of the lowest in the country and the legislature is against further increases. Alternative policy measures aimed at lowering prevalence and attributable deaths are: cessation treatments, comprehensive smoke-free policies, and limiting youth access. These three policies have a substantial effect on smoking prevalence and attributable deaths and are likely to encounter more favor in the Louisiana legislature than increasing the state excise tax.</description><subject>Cancer</subject><subject>Census of Population</subject><subject>Child and School Psychology</subject><subject>Datasets</subject><subject>Disease control</subject><subject>Disease prevention</subject><subject>Economic indicators</subject><subject>Excise taxes</subject><subject>Female</subject><subject>Health care policy</subject><subject>Health Planning Guidelines</subject><subject>Health Policy</subject><subject>Health Psychology</subject><subject>Humans</subject><subject>Investments</subject><subject>Legislation</subject><subject>Legislatures</subject><subject>Louisiana</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Models, Theoretical</subject><subject>Policy Making</subject><subject>Population policy</subject><subject>Prevalence</subject><subject>Public Health</subject><subject>Simulation</subject><subject>Smoking</subject><subject>Smoking - legislation & jurisprudence</subject><subject>Tax increases</subject><subject>Taxation</subject><subject>Trends</subject><subject>Youth</subject><issn>1389-4986</issn><issn>1573-6695</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU1rFTEUhoMotlZ_QDcScNOFY3Myk4_prlxaLVyx2LoOufkoqTNJm8wIXfjfzTitiOAqh5znPOfAi9AhkA9AiDguAEChIcAawqRo6DO0D0y0Dec9e17rVvZN10u-h16VcksIcNaSl2iP8hY6ycU--nmddtqYhC_TEExwBYeIt2kOJeioT_BXZ9I4umj1FFIs2KeMz-dpzg4_TW5SnHIa8EX84cpU2Qn7nEZ8FcarMX1377Fe7Q_L1zz8NuHPybrhNXrh9VDcm8f3AH07P7vefGq2Xz5ebE63jek6OjWtpTvTS7DeCS-ld1Z0rTFOG0o8YWCF1I562ssdpwSEpAY63jHWW0tsJ9oDdLR673K6n-uVagzFuGHQ0aW5KBCcSAGS0oq--we9TXOO9bpKMUl6xvtFCCtlciolO6_uchh1flBA1JKNWrNRNRu1ZKMW89tH87wbnf0z8RRGBegKlNqKNy7_tfq_1l_WYpo6</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>Levy, David</creator><creator>Fergus, Cristin</creator><creator>Rudov, Lindsey</creator><creator>McCormick-Ricket, Iben</creator><creator>Carton, Thomas</creator><general>Springer US</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7TQ</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AM</scope><scope>8AO</scope><scope>8BJ</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGRYB</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>JBE</scope><scope>K7.</scope><scope>K9.</scope><scope>KC-</scope><scope>M0O</scope><scope>M0S</scope><scope>M1P</scope><scope>M2L</scope><scope>M2M</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20160201</creationdate><title>Tobacco Policies in Louisiana: Recommendations for Future Tobacco Control Investment from SimSmoke, a Policy Simulation Model</title><author>Levy, David ; Fergus, Cristin ; Rudov, Lindsey ; McCormick-Ricket, Iben ; Carton, Thomas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-3d2bc981dfe7f88fed743cceac20f051d78ae2f298b6201782c1464559dd0d473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Cancer</topic><topic>Census of Population</topic><topic>Child and School Psychology</topic><topic>Datasets</topic><topic>Disease control</topic><topic>Disease prevention</topic><topic>Economic indicators</topic><topic>Excise taxes</topic><topic>Female</topic><topic>Health care policy</topic><topic>Health Planning Guidelines</topic><topic>Health Policy</topic><topic>Health Psychology</topic><topic>Humans</topic><topic>Investments</topic><topic>Legislation</topic><topic>Legislatures</topic><topic>Louisiana</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Models, Theoretical</topic><topic>Policy Making</topic><topic>Population policy</topic><topic>Prevalence</topic><topic>Public Health</topic><topic>Simulation</topic><topic>Smoking</topic><topic>Smoking - legislation & jurisprudence</topic><topic>Tax increases</topic><topic>Taxation</topic><topic>Trends</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Levy, David</creatorcontrib><creatorcontrib>Fergus, Cristin</creatorcontrib><creatorcontrib>Rudov, Lindsey</creatorcontrib><creatorcontrib>McCormick-Ricket, Iben</creatorcontrib><creatorcontrib>Carton, Thomas</creatorcontrib><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>ProQuest Central (Corporate)</collection><collection>PAIS Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Criminal Justice Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Criminology Collection</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>International Bibliography of the Social Sciences</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Politics Collection</collection><collection>ProQuest Criminal Justice</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Political Science Database</collection><collection>ProQuest Psychology</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Prevention science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Levy, David</au><au>Fergus, Cristin</au><au>Rudov, Lindsey</au><au>McCormick-Ricket, Iben</au><au>Carton, Thomas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tobacco Policies in Louisiana: Recommendations for Future Tobacco Control Investment from SimSmoke, a Policy Simulation Model</atitle><jtitle>Prevention science</jtitle><stitle>Prev Sci</stitle><addtitle>Prev Sci</addtitle><date>2016-02-01</date><risdate>2016</risdate><volume>17</volume><issue>2</issue><spage>199</spage><epage>207</epage><pages>199-207</pages><issn>1389-4986</issn><eissn>1573-6695</eissn><abstract>Despite the presence of tobacco control policies, Louisiana continues to experience a high smoking burden and elevated smoking-attributable deaths. The SimSmoke model provides projections of these health outcomes in the face of existing and expanded (simulated) tobacco control polices. The SimSmoke model utilizes population data, smoking rates, and various tobacco control policy measures from Louisiana to predict smoking prevalence and smoking-attributable deaths. The model begins in 1993 and estimates are projected through 2054. The model is validated against existing Louisiana smoking prevalence data. The most powerful individual policy measure for reducing smoking prevalence is cigarette excise tax. However, a comprehensive cessation treatment policy is predicted to save the most lives. A combination of tobacco control policies provides the greatest reduction in smoking prevalence and smoking-attributable deaths. The existing Louisiana excise tax ranks as one of the lowest in the country and the legislature is against further increases. Alternative policy measures aimed at lowering prevalence and attributable deaths are: cessation treatments, comprehensive smoke-free policies, and limiting youth access. These three policies have a substantial effect on smoking prevalence and attributable deaths and are likely to encounter more favor in the Louisiana legislature than increasing the state excise tax.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>26314867</pmid><doi>10.1007/s11121-015-0587-2</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1389-4986 |
ispartof | Prevention science, 2016-02, Vol.17 (2), p.199-207 |
issn | 1389-4986 1573-6695 |
language | eng |
recordid | cdi_proquest_miscellaneous_1760871822 |
source | MEDLINE; PAIS Index; SpringerLink Journals |
subjects | Cancer Census of Population Child and School Psychology Datasets Disease control Disease prevention Economic indicators Excise taxes Female Health care policy Health Planning Guidelines Health Policy Health Psychology Humans Investments Legislation Legislatures Louisiana Male Medicine Medicine & Public Health Models, Theoretical Policy Making Population policy Prevalence Public Health Simulation Smoking Smoking - legislation & jurisprudence Tax increases Taxation Trends Youth |
title | Tobacco Policies in Louisiana: Recommendations for Future Tobacco Control Investment from SimSmoke, a Policy Simulation Model |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T06%3A01%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Tobacco%20Policies%20in%20Louisiana:%20Recommendations%20for%20Future%20Tobacco%20Control%20Investment%20from%20SimSmoke,%20a%20Policy%20Simulation%20Model&rft.jtitle=Prevention%20science&rft.au=Levy,%20David&rft.date=2016-02-01&rft.volume=17&rft.issue=2&rft.spage=199&rft.epage=207&rft.pages=199-207&rft.issn=1389-4986&rft.eissn=1573-6695&rft_id=info:doi/10.1007/s11121-015-0587-2&rft_dat=%3Cproquest_cross%3E1760871822%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1758095697&rft_id=info:pmid/26314867&rfr_iscdi=true |