Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US
•Young adults displayed variable trajectories of cigarette and e-cigarette dual use.•Greater depressive symptoms and ACEs were associated with all use trajectories.•Extraversion and openness predicted persistent cigarette and e-cigarette use, respectively.•Conscientiousness predicted less risk for c...
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Veröffentlicht in: | Addictive behaviors 2023-06, Vol.141, p.107658, Article 107658 |
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description | •Young adults displayed variable trajectories of cigarette and e-cigarette dual use.•Greater depressive symptoms and ACEs were associated with all use trajectories.•Extraversion and openness predicted persistent cigarette and e-cigarette use, respectively.•Conscientiousness predicted less risk for cigarette and e-cigarette use over time.
Young adults have the highest prevalence of cigarette and e-cigarette use, warranting research to identify psychosocial correlates of their use trajectories.
Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette trajectories across 5 waves of data (2018–2020) among 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority). Multinomial logistic regression models examined associations among psychosocial factors (i.e., depressive symptoms, adverse childhood experiences [ACEs], personality traits) and trajectories of cigarette and e-cigarette use, controlling for sociodemographics and past 6-month alcohol and cannabis use.
RMLPAs yielded a 6-profile solution, which were uniquely associated with predictors: stable low-level or nonusers of cigarettes and e-cigarettes (66.3%; referent group), stable low-level cigarette and high-level e-cigarette use (12.3%; greater depressive symptoms, ACEs, openness; male, White, cannabis use), stable mid-level cigarette and low-level e-cigarette use (6.2%; greater depressive symptoms, ACEs, extraversion; less openness, conscientiousness; older age, male, Black or Hispanic, cannabis use), stable low-level cigarette and decreasing e-cigarette use (6.0%; greater depressive symptoms, ACEs, openness; younger age, cannabis use), stable high-level cigarette and low-level e-cigarette use (4.7%; greater depressive symptoms, ACEs, extraversion; older age, cannabis use), and decreasing high-level cigarette and stable high-level e-cigarette use (4.5%; greater depressive symptoms, ACEs, extraversion, less conscientiousness; older age, cannabis use).
Cigarette and e-cigarette prevention and cessation efforts should be targeted both toward specific trajectories of use and their unique psychosocial correlates. |
doi_str_mv | 10.1016/j.addbeh.2023.107658 |
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Young adults have the highest prevalence of cigarette and e-cigarette use, warranting research to identify psychosocial correlates of their use trajectories.
Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette trajectories across 5 waves of data (2018–2020) among 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority). Multinomial logistic regression models examined associations among psychosocial factors (i.e., depressive symptoms, adverse childhood experiences [ACEs], personality traits) and trajectories of cigarette and e-cigarette use, controlling for sociodemographics and past 6-month alcohol and cannabis use.
RMLPAs yielded a 6-profile solution, which were uniquely associated with predictors: stable low-level or nonusers of cigarettes and e-cigarettes (66.3%; referent group), stable low-level cigarette and high-level e-cigarette use (12.3%; greater depressive symptoms, ACEs, openness; male, White, cannabis use), stable mid-level cigarette and low-level e-cigarette use (6.2%; greater depressive symptoms, ACEs, extraversion; less openness, conscientiousness; older age, male, Black or Hispanic, cannabis use), stable low-level cigarette and decreasing e-cigarette use (6.0%; greater depressive symptoms, ACEs, openness; younger age, cannabis use), stable high-level cigarette and low-level e-cigarette use (4.7%; greater depressive symptoms, ACEs, extraversion; older age, cannabis use), and decreasing high-level cigarette and stable high-level e-cigarette use (4.5%; greater depressive symptoms, ACEs, extraversion, less conscientiousness; older age, cannabis use).
Cigarette and e-cigarette prevention and cessation efforts should be targeted both toward specific trajectories of use and their unique psychosocial correlates.</description><identifier>ISSN: 0306-4603</identifier><identifier>ISSN: 1873-6327</identifier><identifier>EISSN: 1873-6327</identifier><identifier>DOI: 10.1016/j.addbeh.2023.107658</identifier><identifier>PMID: 36812780</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adult ; Cigarette use ; E-cigarette use ; Electronic Nicotine Delivery Systems ; Ethnicity ; Female ; Humans ; Male ; Minority Groups ; Psychosocial factors ; Tobacco Products ; Trajectories ; Vaping - epidemiology ; Young Adult ; Young adults</subject><ispartof>Addictive behaviors, 2023-06, Vol.141, p.107658, Article 107658</ispartof><rights>2023 Elsevier Ltd</rights><rights>Copyright © 2023 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-25281a545f69221213445eb006f2bee352f2946802837437806a220ac8523c813</citedby><cites>FETCH-LOGICAL-c408t-25281a545f69221213445eb006f2bee352f2946802837437806a220ac8523c813</cites><orcidid>0000-0001-8931-1961</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.addbeh.2023.107658$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27928,27929,45999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36812780$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Romm, Katelyn F.</creatorcontrib><creatorcontrib>Cohn, Amy M.</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Berg, Carla J.</creatorcontrib><title>Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US</title><title>Addictive behaviors</title><addtitle>Addict Behav</addtitle><description>•Young adults displayed variable trajectories of cigarette and e-cigarette dual use.•Greater depressive symptoms and ACEs were associated with all use trajectories.•Extraversion and openness predicted persistent cigarette and e-cigarette use, respectively.•Conscientiousness predicted less risk for cigarette and e-cigarette use over time.
Young adults have the highest prevalence of cigarette and e-cigarette use, warranting research to identify psychosocial correlates of their use trajectories.
Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette trajectories across 5 waves of data (2018–2020) among 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority). Multinomial logistic regression models examined associations among psychosocial factors (i.e., depressive symptoms, adverse childhood experiences [ACEs], personality traits) and trajectories of cigarette and e-cigarette use, controlling for sociodemographics and past 6-month alcohol and cannabis use.
RMLPAs yielded a 6-profile solution, which were uniquely associated with predictors: stable low-level or nonusers of cigarettes and e-cigarettes (66.3%; referent group), stable low-level cigarette and high-level e-cigarette use (12.3%; greater depressive symptoms, ACEs, openness; male, White, cannabis use), stable mid-level cigarette and low-level e-cigarette use (6.2%; greater depressive symptoms, ACEs, extraversion; less openness, conscientiousness; older age, male, Black or Hispanic, cannabis use), stable low-level cigarette and decreasing e-cigarette use (6.0%; greater depressive symptoms, ACEs, openness; younger age, cannabis use), stable high-level cigarette and low-level e-cigarette use (4.7%; greater depressive symptoms, ACEs, extraversion; older age, cannabis use), and decreasing high-level cigarette and stable high-level e-cigarette use (4.5%; greater depressive symptoms, ACEs, extraversion, less conscientiousness; older age, cannabis use).
Cigarette and e-cigarette prevention and cessation efforts should be targeted both toward specific trajectories of use and their unique psychosocial correlates.</description><subject>Adult</subject><subject>Cigarette use</subject><subject>E-cigarette use</subject><subject>Electronic Nicotine Delivery Systems</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Minority Groups</subject><subject>Psychosocial factors</subject><subject>Tobacco Products</subject><subject>Trajectories</subject><subject>Vaping - epidemiology</subject><subject>Young Adult</subject><subject>Young adults</subject><issn>0306-4603</issn><issn>1873-6327</issn><issn>1873-6327</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1r3DAQhkVpaTYf_yAEHXvxVhp9WHsplJA2gUACTc5CK4-zMl5rK9mB_ffRxtv21oukd3hGwzyEXHK25Izrr93SNc0aN0tgIEqp1sp8IAtualFpAfVHsmCC6UpqJk7Iac4dYxxqJT-TE6FNeRq2IN1j3vtNzNEH19Ndwib4MaZMY0vH5Do8pIDvuZkK4sOLSziOSN3QUKz-5SmX2jYOL3Qfp3K6ZurHTMNAxw3S51_n5FPr-owXx_uMPP-4ebq-re4fft5df7-vvGRmrECB4U5J1eoVAAcupFS4Zky3sEYUClpYSW0YGFFLUbbQDoA5bxQIb7g4I1_mf3cp_p4wj3Ybsse-dwPGKVuo65VQjPO6oHJGfYo5J2ztLoWtS3vLmT1Ytp2dLduDZTtbLm1XxwnTeovN36Y_WgvwbQaw7PkaMNnsAw6-2E3FqG1i-P-EN5itjgs</recordid><startdate>202306</startdate><enddate>202306</enddate><creator>Romm, Katelyn F.</creator><creator>Cohn, Amy M.</creator><creator>Wang, Yan</creator><creator>Berg, Carla J.</creator><general>Elsevier Ltd</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>7X8</scope><orcidid>https://orcid.org/0000-0001-8931-1961</orcidid></search><sort><creationdate>202306</creationdate><title>Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US</title><author>Romm, Katelyn F. ; Cohn, Amy M. ; Wang, Yan ; Berg, Carla J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-25281a545f69221213445eb006f2bee352f2946802837437806a220ac8523c813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Cigarette use</topic><topic>E-cigarette use</topic><topic>Electronic Nicotine Delivery Systems</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Minority Groups</topic><topic>Psychosocial factors</topic><topic>Tobacco Products</topic><topic>Trajectories</topic><topic>Vaping - epidemiology</topic><topic>Young Adult</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Romm, Katelyn F.</creatorcontrib><creatorcontrib>Cohn, Amy M.</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Berg, Carla J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Addictive behaviors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Romm, Katelyn F.</au><au>Cohn, Amy M.</au><au>Wang, Yan</au><au>Berg, Carla J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US</atitle><jtitle>Addictive behaviors</jtitle><addtitle>Addict Behav</addtitle><date>2023-06</date><risdate>2023</risdate><volume>141</volume><spage>107658</spage><pages>107658-</pages><artnum>107658</artnum><issn>0306-4603</issn><issn>1873-6327</issn><eissn>1873-6327</eissn><abstract>•Young adults displayed variable trajectories of cigarette and e-cigarette dual use.•Greater depressive symptoms and ACEs were associated with all use trajectories.•Extraversion and openness predicted persistent cigarette and e-cigarette use, respectively.•Conscientiousness predicted less risk for cigarette and e-cigarette use over time.
Young adults have the highest prevalence of cigarette and e-cigarette use, warranting research to identify psychosocial correlates of their use trajectories.
Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette trajectories across 5 waves of data (2018–2020) among 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority). Multinomial logistic regression models examined associations among psychosocial factors (i.e., depressive symptoms, adverse childhood experiences [ACEs], personality traits) and trajectories of cigarette and e-cigarette use, controlling for sociodemographics and past 6-month alcohol and cannabis use.
RMLPAs yielded a 6-profile solution, which were uniquely associated with predictors: stable low-level or nonusers of cigarettes and e-cigarettes (66.3%; referent group), stable low-level cigarette and high-level e-cigarette use (12.3%; greater depressive symptoms, ACEs, openness; male, White, cannabis use), stable mid-level cigarette and low-level e-cigarette use (6.2%; greater depressive symptoms, ACEs, extraversion; less openness, conscientiousness; older age, male, Black or Hispanic, cannabis use), stable low-level cigarette and decreasing e-cigarette use (6.0%; greater depressive symptoms, ACEs, openness; younger age, cannabis use), stable high-level cigarette and low-level e-cigarette use (4.7%; greater depressive symptoms, ACEs, extraversion; older age, cannabis use), and decreasing high-level cigarette and stable high-level e-cigarette use (4.5%; greater depressive symptoms, ACEs, extraversion, less conscientiousness; older age, cannabis use).
Cigarette and e-cigarette prevention and cessation efforts should be targeted both toward specific trajectories of use and their unique psychosocial correlates.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>36812780</pmid><doi>10.1016/j.addbeh.2023.107658</doi><orcidid>https://orcid.org/0000-0001-8931-1961</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Cigarette use E-cigarette use Electronic Nicotine Delivery Systems Ethnicity Female Humans Male Minority Groups Psychosocial factors Tobacco Products Trajectories Vaping - epidemiology Young Adult Young adults |
title | Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US |
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