Sofia Folpmers , Dennis O Mook-Kanamori , Renée de Mutsert , Frits R. Rosendaal , Ko Willems van Dijk , Diana van Heemst , Raymond Noordam , Saskia le Cessie
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It is important to highlight discrepancies between these two methods in the context of epidemiological research.</p></div><div><h3>Objective</h3><p>The aim of this cross-sectional study is to assess the agreements between self-reported smoking status and nicotine metabolite detection.</p></div><div><h3>Methods</h3><p>Data of 599 participants from the Netherlands Epidemiology of Obesity study were used to compare serum metabolite levels of five nicotine metabolites (cotinine, hydroxy-cotinine, cotinine <em>N</em>-Oxide, norcotinine, 3-hydroxy-cotinine-glucuronide) between self-reported never smokers (n = 245), former smokers (n = 283) and current smokers (n = 71). We assessed whether metabolites were absent or present and used logistic regression to discriminate between current and never smokers based on nicotine metabolite information. A classification tree was derived to classify individuals into current smokers and non/former smokers based on metabolite information.</p></div><div><h3>Results</h3><p>In 94% of the self-reported current smokers, at least one metabolite was present, versus in 19% of the former smokers and in 10% of the never smokers. In none of the never smokers, cotinine-<em>n</em>-oxide, 3-hydroxy-cotinine-<em>n</em>-glucorinide or norcotinine was present, while at least one of these metabolites was detected in 68% of the self-reported current smokers. The classification tree classified 95% of the participants in accordance to their self-reported smoking status. All self-reported smokers who were classified as non-smokers according to the metabolite profile, had reported to be occasional smokers.</p></div><div><h3>Conclusion</h3><p>The agreement between self-reported smoking status and metabolite information was high. This indicates that self-reported smoking status is generally reliable.</p></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"16 ","pages":"Article 100457"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519471/pdf/","citationCount":"0","resultStr":"{\"title\":\"Agreement between nicotine metabolites in blood and self-reported smoking status: The Netherlands Epidemiology of Obesity study\",\"authors\":\"Sofia Folpmers , Dennis O Mook-Kanamori , Renée de Mutsert , Frits R. Rosendaal , Ko Willems van Dijk , Diana van Heemst , Raymond Noordam , Saskia le Cessie\",\"doi\":\"10.1016/j.abrep.2022.100457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>Self-report and nicotine detection are methods to measure smoking exposure and can both lead to misclassification. It is important to highlight discrepancies between these two methods in the context of epidemiological research.</p></div><div><h3>Objective</h3><p>The aim of this cross-sectional study is to assess the agreements between self-reported smoking status and nicotine metabolite detection.</p></div><div><h3>Methods</h3><p>Data of 599 participants from the Netherlands Epidemiology of Obesity study were used to compare serum metabolite levels of five nicotine metabolites (cotinine, hydroxy-cotinine, cotinine <em>N</em>-Oxide, norcotinine, 3-hydroxy-cotinine-glucuronide) between self-reported never smokers (n = 245), former smokers (n = 283) and current smokers (n = 71). We assessed whether metabolites were absent or present and used logistic regression to discriminate between current and never smokers based on nicotine metabolite information. A classification tree was derived to classify individuals into current smokers and non/former smokers based on metabolite information.</p></div><div><h3>Results</h3><p>In 94% of the self-reported current smokers, at least one metabolite was present, versus in 19% of the former smokers and in 10% of the never smokers. In none of the never smokers, cotinine-<em>n</em>-oxide, 3-hydroxy-cotinine-<em>n</em>-glucorinide or norcotinine was present, while at least one of these metabolites was detected in 68% of the self-reported current smokers. The classification tree classified 95% of the participants in accordance to their self-reported smoking status. All self-reported smokers who were classified as non-smokers according to the metabolite profile, had reported to be occasional smokers.</p></div><div><h3>Conclusion</h3><p>The agreement between self-reported smoking status and metabolite information was high. 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Agreement between nicotine metabolites in blood and self-reported smoking status: The Netherlands Epidemiology of Obesity study
Introduction
Self-report and nicotine detection are methods to measure smoking exposure and can both lead to misclassification. It is important to highlight discrepancies between these two methods in the context of epidemiological research.
Objective
The aim of this cross-sectional study is to assess the agreements between self-reported smoking status and nicotine metabolite detection.
Methods
Data of 599 participants from the Netherlands Epidemiology of Obesity study were used to compare serum metabolite levels of five nicotine metabolites (cotinine, hydroxy-cotinine, cotinine N-Oxide, norcotinine, 3-hydroxy-cotinine-glucuronide) between self-reported never smokers (n = 245), former smokers (n = 283) and current smokers (n = 71). We assessed whether metabolites were absent or present and used logistic regression to discriminate between current and never smokers based on nicotine metabolite information. A classification tree was derived to classify individuals into current smokers and non/former smokers based on metabolite information.
Results
In 94% of the self-reported current smokers, at least one metabolite was present, versus in 19% of the former smokers and in 10% of the never smokers. In none of the never smokers, cotinine-n-oxide, 3-hydroxy-cotinine-n-glucorinide or norcotinine was present, while at least one of these metabolites was detected in 68% of the self-reported current smokers. The classification tree classified 95% of the participants in accordance to their self-reported smoking status. All self-reported smokers who were classified as non-smokers according to the metabolite profile, had reported to be occasional smokers.
Conclusion
The agreement between self-reported smoking status and metabolite information was high. This indicates that self-reported smoking status is generally reliable.
期刊介绍:
Addictive Behaviors Reports is an open-access and peer reviewed online-only journal offering an interdisciplinary forum for the publication of research in addictive behaviors. The journal accepts submissions that are scientifically sound on all forms of addictive behavior (alcohol, drugs, gambling, Internet, nicotine and technology) with a primary focus on behavioral and psychosocial research. The emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. We are particularly interested in ''non-traditional'', innovative and empirically oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research. Studies that might encourage new lines of inquiry as well as scholarly commentaries on topical issues, systematic reviews, and mini reviews are also very much encouraged. We also welcome multimedia submissions that incorporate video or audio components to better display methodology or findings.