Literature DB >> 34530669

Study on the daily Ad Libitum smoking habits of active Korean smokers and their effect on urinary smoking exposure and impact biomarkers.

Jiyeon Yang1, Shervin Hashemi1, Wonseok Han1, Chaelin Lee2, Yoojin Song1, Youngwook Lim1.   

Abstract

INTRODUCTION: Understanding interactions of smoking topography with biomarkers of exposure to tobacco is essential for accurate smoking risk assessments.
METHODS: In this study, the smoking topography and the levels of tobacco smoke exposure urinary biomarkers of a sample of active Korean smokers were quantified and measured. The results were used to investigate the effect of daily activities and smoking time on the smoking topography. Moreover, correlations between the smoking topography parameters and biomarkers were assessed.
RESULTS: No significant effect of either the daily activities or time on the smoking topography of the subjects were observed. Synchronic correlations of the cigarette consumption per day (CPD) and the average flow per puff with both urinary cotinine and trans-3'-hydroxycotinine were significant. For the urinary nicotine metabolites, the peak levels appeared when the CPD was over 19 cigarettes per day and the average puff velocity was between 35 and 45 ml/s. Nevertheless, when the average flow was over 60 ml/s, the levels of cotinine and trans-3'-hydroxycotinine significantly dropped.
CONCLUSIONS: The findings of this study may be beneficial for further smoking risk assessments with contributions of both the smoking topography and biomarkers to provide current smokers with applicable cession programs.Clinical significanceSmoking habits and levels of urinary biomarkers of Korean smokers are investigated.People with a higher dependency on nicotine smoke cigarettes with slower puffs.Effects of daily activities or time on smoking topography were not significant.Correlations between smoking topography and urinary biomarkers were significant.Peak biomarker levels were observed under certain smoking topography conditions.

Entities:  

Keywords:  Biomarker analysis; NNAL; cotinine; smoking exposure urinary biomarkers; smoking topography; trans-3’-hydroxycotinine

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Year:  2021        PMID: 34530669     DOI: 10.1080/1354750X.2021.1981448

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  2 in total

1.  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
Journal:  Addict Behav Rep       Date:  2022-09-23

2.  Exposure and Risk Assessment of Second- and Third-Hand Tobacco Smoke Using Urinary Cotinine Levels in South Korea.

Authors:  Jiyeon Yang; Shervin Hashemi; Wonseok Han; Yoojin Song; Youngwook Lim
Journal:  Int J Environ Res Public Health       Date:  2022-03-21       Impact factor: 3.390

  2 in total

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