Investigating the added value of biomarkers compared with self-reported smoking in predicting future e-cigarette use: Evidence from a longitudinal UK cohort study

Biomarkers can be used to assess smoking behaviour more accurately and objectively than self-report. This study assessed the association between cotinine (a biomarker of smoke exposure) and later e-cigarette use among a population who were unexposed to e-cigarettes in youth. Young people in the Avon...

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Veröffentlicht in:PloS one 2020-07, Vol.15 (7), p.e0235629-e0235629
Hauptverfasser: Khouja, Jasmine N, Munafò, Marcus R, Relton, Caroline L, Taylor, Amy E, Gage, Suzanne H, Richmond, Rebecca C
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container_start_page e0235629
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creator Khouja, Jasmine N
Munafò, Marcus R
Relton, Caroline L
Taylor, Amy E
Gage, Suzanne H
Richmond, Rebecca C
description Biomarkers can be used to assess smoking behaviour more accurately and objectively than self-report. This study assessed the association between cotinine (a biomarker of smoke exposure) and later e-cigarette use among a population who were unexposed to e-cigarettes in youth. Young people in the Avon Longitudinal Study of Parents and Children took part in the study. We observed associations between cotinine at 15 years (measured between 2006 and 2008 before the wide availability of e-cigarettes) and self-reported ever use of e-cigarettes at 22 (measured between 2014 and 2015 when e-cigarettes were widely available) using logistic regression. A range of potential confounders were adjusted for (age, sex, body mass index, alcohol use and passive smoke exposure). Additionally, we adjusted for the young people's self-reported smoking status/history to explore potential misreporting and measurement error. In a sample of N = 1,194 young people, cotinine levels consistent with active smoking at 15 years were associated with increased odds of e-cigarette ever use at 22 years (Odds Ratio [OR] = 7.24, 95% CI 3.29 to 15.93) even when self-reported active smoking status at age 16 (OR = 3.14, 95% CI 1.32 to 7.48) and latent classes of smoking behaviour from 14 to 16 (OR = 2.70, 95% CI 0.98 to 7.44) were included in the model. Cotinine levels consistent with smoking in adolescence were strongly associated with increased odds of later e-cigarette use, even after adjusting for reported smoking behaviour at age 16 and smoking transitions from 14 to 16.
doi_str_mv 10.1371/journal.pone.0235629
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This study assessed the association between cotinine (a biomarker of smoke exposure) and later e-cigarette use among a population who were unexposed to e-cigarettes in youth. Young people in the Avon Longitudinal Study of Parents and Children took part in the study. We observed associations between cotinine at 15 years (measured between 2006 and 2008 before the wide availability of e-cigarettes) and self-reported ever use of e-cigarettes at 22 (measured between 2014 and 2015 when e-cigarettes were widely available) using logistic regression. A range of potential confounders were adjusted for (age, sex, body mass index, alcohol use and passive smoke exposure). Additionally, we adjusted for the young people's self-reported smoking status/history to explore potential misreporting and measurement error. In a sample of N = 1,194 young people, cotinine levels consistent with active smoking at 15 years were associated with increased odds of e-cigarette ever use at 22 years (Odds Ratio [OR] = 7.24, 95% CI 3.29 to 15.93) even when self-reported active smoking status at age 16 (OR = 3.14, 95% CI 1.32 to 7.48) and latent classes of smoking behaviour from 14 to 16 (OR = 2.70, 95% CI 0.98 to 7.44) were included in the model. Cotinine levels consistent with smoking in adolescence were strongly associated with increased odds of later e-cigarette use, even after adjusting for reported smoking behaviour at age 16 and smoking transitions from 14 to 16.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32663218</pmid><doi>10.1371/journal.pone.0235629</doi><tpages>e0235629</tpages><orcidid>https://orcid.org/0000-0003-0574-5071</orcidid><orcidid>https://orcid.org/0000-0002-7944-2981</orcidid><oa>free_for_read</oa></addata></record>
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subjects Added value
Adolescent
Adult
Age
Biological markers
Biology and Life Sciences
Biomarkers
Biomarkers - metabolism
Biomedical research
Body mass
Body mass index
Body size
Child development
Children
Cigarette smoking
Cigarettes
Cohort analysis
Cohort Studies
Correlation analysis
Cotinine
Data dictionaries
Electronic cigarettes
Electronic Nicotine Delivery Systems - statistics & numerical data
Epidemiology
Error analysis
Ethics
Exposure
Female
Health aspects
Health sciences
Humans
Longitudinal Studies
Male
Medical schools
Medicine and Health Sciences
Passive smoking
Physical Sciences
Population
Questionnaires
Research and Analysis Methods
Self Report
Smoke
Smoking
Smoking - epidemiology
Smoking - metabolism
Social Sciences
Statistics
Studies
Tobacco
United Kingdom - epidemiology
Vaping
Young Adult
Young adults
Youth smoking
title Investigating the added value of biomarkers compared with self-reported smoking in predicting future e-cigarette use: Evidence from a longitudinal UK cohort study
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