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Have e-cigarettes renormalised or displaced youth smoking? Results of a segmented regression analysis of repeated cross sectional survey data in England, Scotland and Wales
ObjectivesTo examine whether during a period of limited e-cigarette regulation and rapid growth in their use, smoking began to become renormalised among young people.DesignInterrupted time-series analysis of repeated cross-sectional time-series data.SettingGreat BritainParticipants248 324 young peop...
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Published in: | Tobacco control 2020-03, Vol.29 (2), p.207-216 |
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container_title | Tobacco control |
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creator | Hallingberg, Britt Maynard, Olivia M Bauld, Linda Brown, Rachel Gray, Linsay Lowthian, Emily MacKintosh, Anne-Marie Moore, Laurence Munafo, Marcus R Moore, Graham |
description | ObjectivesTo examine whether during a period of limited e-cigarette regulation and rapid growth in their use, smoking began to become renormalised among young people.DesignInterrupted time-series analysis of repeated cross-sectional time-series data.SettingGreat BritainParticipants248 324 young people aged approximately 13 and 15 years, from three national surveys during the years 1998–2015.InterventionUnregulated growth of e-cigarette use (following the year 2010, until 2015).Outcome measuresPrimary outcomes were prevalence of self-reported ever smoking and regular smoking. Secondary outcomes were attitudes towards smoking. Tertiary outcomes were ever use of cannabis and alcohol.ResultsIn final models, no significant change was detected in the pre-existing trend for ever smoking (OR 1.01, CI 0.99 to 1.03). There was a marginally significant slowing in the rate of decline for regular smoking (OR 1.04, CI 1.00 to 1.08), accompanied by a larger slowing in the rate of decline of cannabis use (OR 1.21, CI 1.18 to 1.25) and alcohol use (OR 1.17, CI 1.14 to 1.19). In all models and subgroup analyses for smoking attitudes, an increased rate of decline was observed after 2010 (OR 0.88, CI 0.86 to 0.90). Models were robust to sensitivity analyses.ConclusionsThere was a marginal slowing in the decline in regular smoking during the period following 2010, when e-cigarettes were emerging but relatively unregulated. However, these patterns were not unique to tobacco use and the decline in the acceptability of smoking behaviour among youth accelerated during this time. These analyses provide little evidence that renormalisation of youth smoking was occurring during a period of rapid growth and limited regulation of e-cigarettes from 2011 to 2015.Trial registration numberResearch registry number: researchregistry4336 |
doi_str_mv | 10.1136/tobaccocontrol-2018-054584 |
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Results of a segmented regression analysis of repeated cross sectional survey data in England, Scotland and Wales</title><source>JSTOR Archival Journals and Primary Sources Collection</source><creator>Hallingberg, Britt ; Maynard, Olivia M ; Bauld, Linda ; Brown, Rachel ; Gray, Linsay ; Lowthian, Emily ; MacKintosh, Anne-Marie ; Moore, Laurence ; Munafo, Marcus R ; Moore, Graham</creator><creatorcontrib>Hallingberg, Britt ; Maynard, Olivia M ; Bauld, Linda ; Brown, Rachel ; Gray, Linsay ; Lowthian, Emily ; MacKintosh, Anne-Marie ; Moore, Laurence ; Munafo, Marcus R ; Moore, Graham</creatorcontrib><description>ObjectivesTo examine whether during a period of limited e-cigarette regulation and rapid growth in their use, smoking began to become renormalised among young people.DesignInterrupted time-series analysis of repeated cross-sectional time-series data.SettingGreat BritainParticipants248 324 young people aged approximately 13 and 15 years, from three national surveys during the years 1998–2015.InterventionUnregulated growth of e-cigarette use (following the year 2010, until 2015).Outcome measuresPrimary outcomes were prevalence of self-reported ever smoking and regular smoking. Secondary outcomes were attitudes towards smoking. Tertiary outcomes were ever use of cannabis and alcohol.ResultsIn final models, no significant change was detected in the pre-existing trend for ever smoking (OR 1.01, CI 0.99 to 1.03). There was a marginally significant slowing in the rate of decline for regular smoking (OR 1.04, CI 1.00 to 1.08), accompanied by a larger slowing in the rate of decline of cannabis use (OR 1.21, CI 1.18 to 1.25) and alcohol use (OR 1.17, CI 1.14 to 1.19). In all models and subgroup analyses for smoking attitudes, an increased rate of decline was observed after 2010 (OR 0.88, CI 0.86 to 0.90). Models were robust to sensitivity analyses.ConclusionsThere was a marginal slowing in the decline in regular smoking during the period following 2010, when e-cigarettes were emerging but relatively unregulated. However, these patterns were not unique to tobacco use and the decline in the acceptability of smoking behaviour among youth accelerated during this time. These analyses provide little evidence that renormalisation of youth smoking was occurring during a period of rapid growth and limited regulation of e-cigarettes from 2011 to 2015.Trial registration numberResearch registry number: researchregistry4336</description><identifier>ISSN: 0964-4563</identifier><identifier>EISSN: 1468-3318</identifier><identifier>DOI: 10.1136/tobaccocontrol-2018-054584</identifier><identifier>PMID: 30936390</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Adolescent ; Age ; Alcohol Drinking - epidemiology ; Attitudes ; Cannabis ; Change detection ; Cigarettes ; Cross-Sectional Studies ; Drug use ; Electronic cigarettes ; Electronic Nicotine Delivery Systems - statistics & numerical data ; England - epidemiology ; Female ; Harm reduction ; Humans ; Interrupted Time Series Analysis ; Male ; Marijuana Use - epidemiology ; Nicotine ; Original Research ; Polls & surveys ; Prevalence ; Public health ; Regression Analysis ; Scotland - epidemiology ; Sensitivity analysis ; Smoking ; Students ; Subgroups ; Surveys and Questionnaires ; Time series ; Tobacco ; Tobacco Smoking - epidemiology ; Trends ; Vaping - epidemiology ; Wales - epidemiology ; Young adults</subject><ispartof>Tobacco control, 2020-03, Vol.29 (2), p.207-216</ispartof><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.</rights><rights>2020 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b500t-d39b45bce70eb644c259c35012598927b30f70cfcffa94d95767497beb1158de3</citedby><cites>FETCH-LOGICAL-b500t-d39b45bce70eb644c259c35012598927b30f70cfcffa94d95767497beb1158de3</cites><orcidid>0000-0001-8016-5793</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30936390$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hallingberg, Britt</creatorcontrib><creatorcontrib>Maynard, Olivia M</creatorcontrib><creatorcontrib>Bauld, Linda</creatorcontrib><creatorcontrib>Brown, Rachel</creatorcontrib><creatorcontrib>Gray, Linsay</creatorcontrib><creatorcontrib>Lowthian, Emily</creatorcontrib><creatorcontrib>MacKintosh, Anne-Marie</creatorcontrib><creatorcontrib>Moore, Laurence</creatorcontrib><creatorcontrib>Munafo, Marcus R</creatorcontrib><creatorcontrib>Moore, Graham</creatorcontrib><title>Have e-cigarettes renormalised or displaced youth smoking? Results of a segmented regression analysis of repeated cross sectional survey data in England, Scotland and Wales</title><title>Tobacco control</title><addtitle>Tob Control</addtitle><description>ObjectivesTo examine whether during a period of limited e-cigarette regulation and rapid growth in their use, smoking began to become renormalised among young people.DesignInterrupted time-series analysis of repeated cross-sectional time-series data.SettingGreat BritainParticipants248 324 young people aged approximately 13 and 15 years, from three national surveys during the years 1998–2015.InterventionUnregulated growth of e-cigarette use (following the year 2010, until 2015).Outcome measuresPrimary outcomes were prevalence of self-reported ever smoking and regular smoking. Secondary outcomes were attitudes towards smoking. Tertiary outcomes were ever use of cannabis and alcohol.ResultsIn final models, no significant change was detected in the pre-existing trend for ever smoking (OR 1.01, CI 0.99 to 1.03). There was a marginally significant slowing in the rate of decline for regular smoking (OR 1.04, CI 1.00 to 1.08), accompanied by a larger slowing in the rate of decline of cannabis use (OR 1.21, CI 1.18 to 1.25) and alcohol use (OR 1.17, CI 1.14 to 1.19). In all models and subgroup analyses for smoking attitudes, an increased rate of decline was observed after 2010 (OR 0.88, CI 0.86 to 0.90). Models were robust to sensitivity analyses.ConclusionsThere was a marginal slowing in the decline in regular smoking during the period following 2010, when e-cigarettes were emerging but relatively unregulated. However, these patterns were not unique to tobacco use and the decline in the acceptability of smoking behaviour among youth accelerated during this time. These analyses provide little evidence that renormalisation of youth smoking was occurring during a period of rapid growth and limited regulation of e-cigarettes from 2011 to 2015.Trial registration numberResearch registry number: researchregistry4336</description><subject>Adolescent</subject><subject>Age</subject><subject>Alcohol Drinking - epidemiology</subject><subject>Attitudes</subject><subject>Cannabis</subject><subject>Change detection</subject><subject>Cigarettes</subject><subject>Cross-Sectional Studies</subject><subject>Drug use</subject><subject>Electronic cigarettes</subject><subject>Electronic Nicotine Delivery Systems - statistics & numerical data</subject><subject>England - epidemiology</subject><subject>Female</subject><subject>Harm reduction</subject><subject>Humans</subject><subject>Interrupted Time Series Analysis</subject><subject>Male</subject><subject>Marijuana Use - epidemiology</subject><subject>Nicotine</subject><subject>Original Research</subject><subject>Polls & surveys</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Regression Analysis</subject><subject>Scotland - epidemiology</subject><subject>Sensitivity analysis</subject><subject>Smoking</subject><subject>Students</subject><subject>Subgroups</subject><subject>Surveys and Questionnaires</subject><subject>Time series</subject><subject>Tobacco</subject><subject>Tobacco Smoking - epidemiology</subject><subject>Trends</subject><subject>Vaping - epidemiology</subject><subject>Wales - epidemiology</subject><subject>Young adults</subject><issn>0964-4563</issn><issn>1468-3318</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><recordid>eNqVkt9uFCEUxidGY7fVVzBEb7zoKAwwM3ihMU21Jk1M_BMvCTBnpqwMbIHZZN_Jh5Tt1sZ65wU5kPM7X_hOvqp6TvArQmj7OgetjAkm-ByDqxtM-hpzxnv2oFoR1vY1paR_WK2waFnNeEuPquOU1hgT2nHyuDqiWNCWCryqfl2oLSCojZ1UhJwhoQg-xFk5m2BAIaLBpo1Tpjx2YclXKM3hp_XTO_QF0uJyQmFECiWYZvC5UBGmCCnZ4JHyyu2SvUEibEDt-yaGlApvckGUQ2mJW9ihQWWFrEfnfnLKD6foqwl5f0P780M5SE-qR6NyCZ7e1pPq-4fzb2cX9eXnj5_O3l_WmmOc64EKzbg20GHQLWOm4cJQjkmpvWg6TfHYYTOacVSCDYJ3bcdEp0ETwvsB6En19qC7WfQMgym-onJyE-2s4k4GZeX9jrdXcgpb2WHaNoIWgZe3AjFcL5CynG0y4IodCEuSTYMbIjqCm4K--AddhyWWvRSKtkwI2hBeqDcH6mZ5Eca7zxAs96GQ90Mh96GQh1CU4Wd_27kb_ZOCAvADoOf1_wj_BgRyzkc</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Hallingberg, Britt</creator><creator>Maynard, Olivia M</creator><creator>Bauld, Linda</creator><creator>Brown, Rachel</creator><creator>Gray, Linsay</creator><creator>Lowthian, Emily</creator><creator>MacKintosh, Anne-Marie</creator><creator>Moore, Laurence</creator><creator>Munafo, Marcus R</creator><creator>Moore, Graham</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</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>3V.</scope><scope>7WY</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>883</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>K9.</scope><scope>M0F</scope><scope>M0K</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8016-5793</orcidid></search><sort><creationdate>20200301</creationdate><title>Have e-cigarettes renormalised or displaced youth smoking? Results of a segmented regression analysis of repeated cross sectional survey data in England, Scotland and Wales</title><author>Hallingberg, Britt ; Maynard, Olivia M ; Bauld, Linda ; Brown, Rachel ; Gray, Linsay ; Lowthian, Emily ; MacKintosh, Anne-Marie ; Moore, Laurence ; Munafo, Marcus R ; Moore, Graham</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b500t-d39b45bce70eb644c259c35012598927b30f70cfcffa94d95767497beb1158de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Age</topic><topic>Alcohol Drinking - epidemiology</topic><topic>Attitudes</topic><topic>Cannabis</topic><topic>Change detection</topic><topic>Cigarettes</topic><topic>Cross-Sectional Studies</topic><topic>Drug use</topic><topic>Electronic cigarettes</topic><topic>Electronic Nicotine Delivery Systems - statistics & numerical data</topic><topic>England - epidemiology</topic><topic>Female</topic><topic>Harm reduction</topic><topic>Humans</topic><topic>Interrupted Time Series Analysis</topic><topic>Male</topic><topic>Marijuana Use - epidemiology</topic><topic>Nicotine</topic><topic>Original Research</topic><topic>Polls & surveys</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Regression Analysis</topic><topic>Scotland - epidemiology</topic><topic>Sensitivity analysis</topic><topic>Smoking</topic><topic>Students</topic><topic>Subgroups</topic><topic>Surveys and Questionnaires</topic><topic>Time series</topic><topic>Tobacco</topic><topic>Tobacco Smoking - epidemiology</topic><topic>Trends</topic><topic>Vaping - epidemiology</topic><topic>Wales - epidemiology</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hallingberg, Britt</creatorcontrib><creatorcontrib>Maynard, Olivia M</creatorcontrib><creatorcontrib>Bauld, Linda</creatorcontrib><creatorcontrib>Brown, Rachel</creatorcontrib><creatorcontrib>Gray, Linsay</creatorcontrib><creatorcontrib>Lowthian, Emily</creatorcontrib><creatorcontrib>MacKintosh, Anne-Marie</creatorcontrib><creatorcontrib>Moore, Laurence</creatorcontrib><creatorcontrib>Munafo, Marcus R</creatorcontrib><creatorcontrib>Moore, Graham</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</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 Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Trade & Industry (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</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>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</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 & Medical Complete (Alumni)</collection><collection>ABI/INFORM Trade & Industry</collection><collection>Agricultural Science Database</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</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 Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Tobacco control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hallingberg, Britt</au><au>Maynard, Olivia M</au><au>Bauld, Linda</au><au>Brown, Rachel</au><au>Gray, Linsay</au><au>Lowthian, Emily</au><au>MacKintosh, Anne-Marie</au><au>Moore, Laurence</au><au>Munafo, Marcus R</au><au>Moore, Graham</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Have e-cigarettes renormalised or displaced youth smoking? Results of a segmented regression analysis of repeated cross sectional survey data in England, Scotland and Wales</atitle><jtitle>Tobacco control</jtitle><addtitle>Tob Control</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>29</volume><issue>2</issue><spage>207</spage><epage>216</epage><pages>207-216</pages><issn>0964-4563</issn><eissn>1468-3318</eissn><abstract>ObjectivesTo examine whether during a period of limited e-cigarette regulation and rapid growth in their use, smoking began to become renormalised among young people.DesignInterrupted time-series analysis of repeated cross-sectional time-series data.SettingGreat BritainParticipants248 324 young people aged approximately 13 and 15 years, from three national surveys during the years 1998–2015.InterventionUnregulated growth of e-cigarette use (following the year 2010, until 2015).Outcome measuresPrimary outcomes were prevalence of self-reported ever smoking and regular smoking. Secondary outcomes were attitudes towards smoking. Tertiary outcomes were ever use of cannabis and alcohol.ResultsIn final models, no significant change was detected in the pre-existing trend for ever smoking (OR 1.01, CI 0.99 to 1.03). There was a marginally significant slowing in the rate of decline for regular smoking (OR 1.04, CI 1.00 to 1.08), accompanied by a larger slowing in the rate of decline of cannabis use (OR 1.21, CI 1.18 to 1.25) and alcohol use (OR 1.17, CI 1.14 to 1.19). In all models and subgroup analyses for smoking attitudes, an increased rate of decline was observed after 2010 (OR 0.88, CI 0.86 to 0.90). Models were robust to sensitivity analyses.ConclusionsThere was a marginal slowing in the decline in regular smoking during the period following 2010, when e-cigarettes were emerging but relatively unregulated. However, these patterns were not unique to tobacco use and the decline in the acceptability of smoking behaviour among youth accelerated during this time. These analyses provide little evidence that renormalisation of youth smoking was occurring during a period of rapid growth and limited regulation of e-cigarettes from 2011 to 2015.Trial registration numberResearch registry number: researchregistry4336</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>30936390</pmid><doi>10.1136/tobaccocontrol-2018-054584</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8016-5793</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Age Alcohol Drinking - epidemiology Attitudes Cannabis Change detection Cigarettes Cross-Sectional Studies Drug use Electronic cigarettes Electronic Nicotine Delivery Systems - statistics & numerical data England - epidemiology Female Harm reduction Humans Interrupted Time Series Analysis Male Marijuana Use - epidemiology Nicotine Original Research Polls & surveys Prevalence Public health Regression Analysis Scotland - epidemiology Sensitivity analysis Smoking Students Subgroups Surveys and Questionnaires Time series Tobacco Tobacco Smoking - epidemiology Trends Vaping - epidemiology Wales - epidemiology Young adults |
title | Have e-cigarettes renormalised or displaced youth smoking? Results of a segmented regression analysis of repeated cross sectional survey data in England, Scotland and Wales |
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