Does the time to nicotine dependence vary by internalizing symptoms for young people who use e-cigarettes? An analysis of the Population Assessment of Tobacco and Health (PATH) study, (Waves 1–5; 2013–2019)
•Time to first cravings did not differ by internalizing symptoms among young people.•Time to first really needing to use did not differ by internalizing symptoms.•Time to first use within 30 min did not differ by internalizing symptoms. To determine the relationship between past-year internalizing s...
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| Veröffentlicht in: | Addictive behaviors 2024-09, Vol.156, p.108075, Article 108075 |
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| creator | Adjei, Abigail Wilkinson, Anna V. Chen, Baojiang Mantey, Dale S. Harrell, Melissa B. |
| description | •Time to first cravings did not differ by internalizing symptoms among young people.•Time to first really needing to use did not differ by internalizing symptoms.•Time to first use within 30 min did not differ by internalizing symptoms.
To determine the relationship between past-year internalizing symptoms and the time to first report of signs of nicotine dependence among young people.
Secondary analysis using data from the Population Assessment of Tobacco and Health (PATH) (Waves 1–5; 2013–2019). The study included 2,102 (N = 5,031,691) young people (age 12–23 years) who reported past-30-day (P30D) e-cigarette use in one or more waves. Kaplan Meier curves, stratified by past year internalizing symptoms were used to estimate the time to the first report of three nicotine dependence symptoms (i.e., use within 30 min of waking, cravings, and really needing to use) following the first P30D e-cigarette use. Cox proportional hazard models were used to estimate crude and adjusted hazard ratios (AHR), comparing any past year internalizing symptoms to no past year internalizing symptoms.
We found no significant differences between past year internalizing symptoms and the time to the first report of cravings (AHR = 1.30, 95 % CI = 92–1.85), really needing to use (AHR = 1.31; 95 % CI = 0.92–1.89) and use within 30 min of waking for follow-up times 0–156 weeks (AHR = 0.84; 95 % CI = 0.55–1.30) and > 156 weeks (AHR = 0.41; 95 % CI = 0.04–4.67) respectively.
Past year internalizing symptoms did not modify the time to the first report of nicotine dependence among youth with P30D e-cigarette use. Further research is needed to understand how changing internalizing symptoms and e-cigarette use frequency influence nicotine dependence over time and, how this relationship impacts cessation behavior. |
| doi_str_mv | 10.1016/j.addbeh.2024.108075 |
| format | Article |
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To determine the relationship between past-year internalizing symptoms and the time to first report of signs of nicotine dependence among young people.
Secondary analysis using data from the Population Assessment of Tobacco and Health (PATH) (Waves 1–5; 2013–2019). The study included 2,102 (N = 5,031,691) young people (age 12–23 years) who reported past-30-day (P30D) e-cigarette use in one or more waves. Kaplan Meier curves, stratified by past year internalizing symptoms were used to estimate the time to the first report of three nicotine dependence symptoms (i.e., use within 30 min of waking, cravings, and really needing to use) following the first P30D e-cigarette use. Cox proportional hazard models were used to estimate crude and adjusted hazard ratios (AHR), comparing any past year internalizing symptoms to no past year internalizing symptoms.
We found no significant differences between past year internalizing symptoms and the time to the first report of cravings (AHR = 1.30, 95 % CI = 92–1.85), really needing to use (AHR = 1.31; 95 % CI = 0.92–1.89) and use within 30 min of waking for follow-up times 0–156 weeks (AHR = 0.84; 95 % CI = 0.55–1.30) and > 156 weeks (AHR = 0.41; 95 % CI = 0.04–4.67) respectively.
Past year internalizing symptoms did not modify the time to the first report of nicotine dependence among youth with P30D e-cigarette use. Further research is needed to understand how changing internalizing symptoms and e-cigarette use frequency influence nicotine dependence over time and, how this relationship impacts cessation behavior.</description><identifier>ISSN: 0306-4603</identifier><identifier>ISSN: 1873-6327</identifier><identifier>EISSN: 1873-6327</identifier><identifier>DOI: 10.1016/j.addbeh.2024.108075</identifier><identifier>PMID: 38810488</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adolescent ; Anxiety - epidemiology ; Anxiety - psychology ; Child ; Craving ; Depression - epidemiology ; Depression - psychology ; E-cigarette use ; Electronic Nicotine Delivery Systems - statistics & numerical data ; Female ; Humans ; Internalizing symptoms ; Male ; Nationally representative ; Nicotine dependence ; Proportional Hazards Models ; Time Factors ; Tobacco Use Disorder - epidemiology ; Tobacco Use Disorder - psychology ; United States - epidemiology ; Vaping - epidemiology ; Vaping - psychology ; Young Adult ; Young people</subject><ispartof>Addictive behaviors, 2024-09, Vol.156, p.108075, Article 108075</ispartof><rights>2024 Elsevier Ltd</rights><rights>Copyright © 2024 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c311t-3f59a3967738fdeb86f72fd584c0c019a011420cffa5af07ec6bc71e190175443</cites><orcidid>0000-0003-1759-301X</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.2024.108075$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38810488$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Adjei, Abigail</creatorcontrib><creatorcontrib>Wilkinson, Anna V.</creatorcontrib><creatorcontrib>Chen, Baojiang</creatorcontrib><creatorcontrib>Mantey, Dale S.</creatorcontrib><creatorcontrib>Harrell, Melissa B.</creatorcontrib><title>Does the time to nicotine dependence vary by internalizing symptoms for young people who use e-cigarettes? An analysis of the Population Assessment of Tobacco and Health (PATH) study, (Waves 1–5; 2013–2019)</title><title>Addictive behaviors</title><addtitle>Addict Behav</addtitle><description>•Time to first cravings did not differ by internalizing symptoms among young people.•Time to first really needing to use did not differ by internalizing symptoms.•Time to first use within 30 min did not differ by internalizing symptoms.
To determine the relationship between past-year internalizing symptoms and the time to first report of signs of nicotine dependence among young people.
Secondary analysis using data from the Population Assessment of Tobacco and Health (PATH) (Waves 1–5; 2013–2019). The study included 2,102 (N = 5,031,691) young people (age 12–23 years) who reported past-30-day (P30D) e-cigarette use in one or more waves. Kaplan Meier curves, stratified by past year internalizing symptoms were used to estimate the time to the first report of three nicotine dependence symptoms (i.e., use within 30 min of waking, cravings, and really needing to use) following the first P30D e-cigarette use. Cox proportional hazard models were used to estimate crude and adjusted hazard ratios (AHR), comparing any past year internalizing symptoms to no past year internalizing symptoms.
We found no significant differences between past year internalizing symptoms and the time to the first report of cravings (AHR = 1.30, 95 % CI = 92–1.85), really needing to use (AHR = 1.31; 95 % CI = 0.92–1.89) and use within 30 min of waking for follow-up times 0–156 weeks (AHR = 0.84; 95 % CI = 0.55–1.30) and > 156 weeks (AHR = 0.41; 95 % CI = 0.04–4.67) respectively.
Past year internalizing symptoms did not modify the time to the first report of nicotine dependence among youth with P30D e-cigarette use. Further research is needed to understand how changing internalizing symptoms and e-cigarette use frequency influence nicotine dependence over time and, how this relationship impacts cessation behavior.</description><subject>Adolescent</subject><subject>Anxiety - epidemiology</subject><subject>Anxiety - psychology</subject><subject>Child</subject><subject>Craving</subject><subject>Depression - epidemiology</subject><subject>Depression - psychology</subject><subject>E-cigarette use</subject><subject>Electronic Nicotine Delivery Systems - statistics & numerical data</subject><subject>Female</subject><subject>Humans</subject><subject>Internalizing symptoms</subject><subject>Male</subject><subject>Nationally representative</subject><subject>Nicotine dependence</subject><subject>Proportional Hazards Models</subject><subject>Time Factors</subject><subject>Tobacco Use Disorder - epidemiology</subject><subject>Tobacco Use Disorder - psychology</subject><subject>United States - epidemiology</subject><subject>Vaping - epidemiology</subject><subject>Vaping - psychology</subject><subject>Young Adult</subject><subject>Young people</subject><issn>0306-4603</issn><issn>1873-6327</issn><issn>1873-6327</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UcuO1DAQjBCIHRb-AKE-zkpksOO8Rkig0fIYpJXYwyCOlmO3dzxK7BA7g7Kn_Qf-jE_gS_CQhSMXt9Wu6mpXJclzSlaU0PLVYSWUanC_ykiWx1ZNquJBsqB1xdKSZdXDZEEYKdO8JOwseeL9gRCaVUX-ODljdU1JXteL5Oc7hx7CHiGYLh4OrJEuGIugsEer0EqEoxgmaCYwNuBgRWtujb0BP3V9cJ0H7QaY3BhbPbq-Rfi-dzB6BEyluREDhoD-LWwsiEievPHg9B_Ra9ePrQjGWdh4j953aMPpcecaIaWLBAVbFG3Yw_J6s9tegA-jml7C8qs4xs3pr7sfxWvICGXxFsv64mnySIvW47P7ep58-fB-d7lNrz5__HS5uUolozSkTBdrwdZlVbFaK2zqUleZVkWdSyLjHEEozTMitRaF0KRCWTayokjXhEYXc3aeLOe5_eC-jegD74yX2LbCohs9j-ZnBcvyNYvQfIbKwXk_oOb9YLpoKqeEn9LkBz6nyU9p8jnNSHtxrzA2Hap_pL_xRcCbGYDxn0eDA_fSnBJTZkAZuHLm_wq_AWR0tHw</recordid><startdate>202409</startdate><enddate>202409</enddate><creator>Adjei, Abigail</creator><creator>Wilkinson, Anna V.</creator><creator>Chen, Baojiang</creator><creator>Mantey, Dale S.</creator><creator>Harrell, Melissa B.</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/0000-0003-1759-301X</orcidid></search><sort><creationdate>202409</creationdate><title>Does the time to nicotine dependence vary by internalizing symptoms for young people who use e-cigarettes? An analysis of the Population Assessment of Tobacco and Health (PATH) study, (Waves 1–5; 2013–2019)</title><author>Adjei, Abigail ; Wilkinson, Anna V. ; Chen, Baojiang ; Mantey, Dale S. ; Harrell, Melissa B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c311t-3f59a3967738fdeb86f72fd584c0c019a011420cffa5af07ec6bc71e190175443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adolescent</topic><topic>Anxiety - epidemiology</topic><topic>Anxiety - psychology</topic><topic>Child</topic><topic>Craving</topic><topic>Depression - epidemiology</topic><topic>Depression - psychology</topic><topic>E-cigarette use</topic><topic>Electronic Nicotine Delivery Systems - statistics & numerical data</topic><topic>Female</topic><topic>Humans</topic><topic>Internalizing symptoms</topic><topic>Male</topic><topic>Nationally representative</topic><topic>Nicotine dependence</topic><topic>Proportional Hazards Models</topic><topic>Time Factors</topic><topic>Tobacco Use Disorder - epidemiology</topic><topic>Tobacco Use Disorder - psychology</topic><topic>United States - epidemiology</topic><topic>Vaping - epidemiology</topic><topic>Vaping - psychology</topic><topic>Young Adult</topic><topic>Young people</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Adjei, Abigail</creatorcontrib><creatorcontrib>Wilkinson, Anna V.</creatorcontrib><creatorcontrib>Chen, Baojiang</creatorcontrib><creatorcontrib>Mantey, Dale S.</creatorcontrib><creatorcontrib>Harrell, Melissa B.</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>Adjei, Abigail</au><au>Wilkinson, Anna V.</au><au>Chen, Baojiang</au><au>Mantey, Dale S.</au><au>Harrell, Melissa B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Does the time to nicotine dependence vary by internalizing symptoms for young people who use e-cigarettes? An analysis of the Population Assessment of Tobacco and Health (PATH) study, (Waves 1–5; 2013–2019)</atitle><jtitle>Addictive behaviors</jtitle><addtitle>Addict Behav</addtitle><date>2024-09</date><risdate>2024</risdate><volume>156</volume><spage>108075</spage><pages>108075-</pages><artnum>108075</artnum><issn>0306-4603</issn><issn>1873-6327</issn><eissn>1873-6327</eissn><abstract>•Time to first cravings did not differ by internalizing symptoms among young people.•Time to first really needing to use did not differ by internalizing symptoms.•Time to first use within 30 min did not differ by internalizing symptoms.
To determine the relationship between past-year internalizing symptoms and the time to first report of signs of nicotine dependence among young people.
Secondary analysis using data from the Population Assessment of Tobacco and Health (PATH) (Waves 1–5; 2013–2019). The study included 2,102 (N = 5,031,691) young people (age 12–23 years) who reported past-30-day (P30D) e-cigarette use in one or more waves. Kaplan Meier curves, stratified by past year internalizing symptoms were used to estimate the time to the first report of three nicotine dependence symptoms (i.e., use within 30 min of waking, cravings, and really needing to use) following the first P30D e-cigarette use. Cox proportional hazard models were used to estimate crude and adjusted hazard ratios (AHR), comparing any past year internalizing symptoms to no past year internalizing symptoms.
We found no significant differences between past year internalizing symptoms and the time to the first report of cravings (AHR = 1.30, 95 % CI = 92–1.85), really needing to use (AHR = 1.31; 95 % CI = 0.92–1.89) and use within 30 min of waking for follow-up times 0–156 weeks (AHR = 0.84; 95 % CI = 0.55–1.30) and > 156 weeks (AHR = 0.41; 95 % CI = 0.04–4.67) respectively.
Past year internalizing symptoms did not modify the time to the first report of nicotine dependence among youth with P30D e-cigarette use. Further research is needed to understand how changing internalizing symptoms and e-cigarette use frequency influence nicotine dependence over time and, how this relationship impacts cessation behavior.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>38810488</pmid><doi>10.1016/j.addbeh.2024.108075</doi><orcidid>https://orcid.org/0000-0003-1759-301X</orcidid></addata></record> |
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| ispartof | Addictive behaviors, 2024-09, Vol.156, p.108075, Article 108075 |
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| subjects | Adolescent Anxiety - epidemiology Anxiety - psychology Child Craving Depression - epidemiology Depression - psychology E-cigarette use Electronic Nicotine Delivery Systems - statistics & numerical data Female Humans Internalizing symptoms Male Nationally representative Nicotine dependence Proportional Hazards Models Time Factors Tobacco Use Disorder - epidemiology Tobacco Use Disorder - psychology United States - epidemiology Vaping - epidemiology Vaping - psychology Young Adult Young people |
| title | Does the time to nicotine dependence vary by internalizing symptoms for young people who use e-cigarettes? An analysis of the Population Assessment of Tobacco and Health (PATH) study, (Waves 1–5; 2013–2019) |
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