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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
Main Authors: Hallingberg, Britt, Maynard, Olivia M, Bauld, Linda, Brown, Rachel, Gray, Linsay, Lowthian, Emily, MacKintosh, Anne-Marie, Moore, Laurence, Munafo, Marcus R, Moore, Graham
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cited_by cdi_FETCH-LOGICAL-b500t-d39b45bce70eb644c259c35012598927b30f70cfcffa94d95767497beb1158de3
cites cdi_FETCH-LOGICAL-b500t-d39b45bce70eb644c259c35012598927b30f70cfcffa94d95767497beb1158de3
container_end_page 216
container_issue 2
container_start_page 207
container_title Tobacco control
container_volume 29
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 &amp; numerical data ; England - epidemiology ; Female ; Harm reduction ; Humans ; Interrupted Time Series Analysis ; Male ; Marijuana Use - epidemiology ; Nicotine ; Original Research ; Polls &amp; 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. 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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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source JSTOR Archival Journals and Primary Sources Collection
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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