Literature DB >> 23956252

Proposed cutoff for identifying adult smokeless tobacco users with urinary total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanonol: an aggregated analysis of NHANES 2007-2010 data.

Israel T Agaku1, Constantine I Vardavas, Gregory Connolly.   

Abstract

INTRODUCTION: NNAL [4-(methylnitrosamino)-1-(3-pyridyl)-1-butanonol] is a valid biomarker of tobacco use. However; no study has assessed its use in distinguishing current smokeless tobacco (SLT) users from nonusers. Therefore, this study used aggregated data from the 2007-2008 and 2009-2010 waves of the National Health and Nutrition Examination Survey to determine an optimal threshold for identifying SLT users with NNAL.
METHODS: Optimal urinary total NNAL concentrations for discriminating SLT-only users from nonusers of any tobacco were determined using receiver operating characteristic analysis. Percentage agreement between self-reported SLT use status and NNAL levels was calculated overall and by sociodemographic characteristics. All analyses were weighted and performed with Stata, Version 11, and MedCalc for Windows, Version 9.5.0.0.
RESULTS: In total, 264 individuals reported exclusively using SLT (and no other combustible tobacco product) within the past 5 days, whereas 14,824 were self-reported nonusers of any combustible or smokeless tobacco product. The optimal NNAL cutoff point was 34.0 pg/ml, which was associated with a high sensitivity (95.2%), specificity (93.4%), and overall correct classification rate (93.5%). The area under the curve was 98.3% and the corresponding Youden's Index was 88.7%. There was high agreement between the proposed NNAL cutoff point and self-reported SLT-only use (95.6%) and self-reported SLT nonuse (93.9%).
CONCLUSION: The proposed cutoff point of 34.0 pg/ml had high sensitivity and specificity and may be used by clinicians and researchers to verify or detect recent SLT use. This study also indicated that self-reported SLT use among adults is a reliable measure and has high agreement with biochemical assessment.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23956252      PMCID: PMC3790636          DOI: 10.1093/ntr/ntt083

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  20 in total

1.  Formation and metabolism of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol enantiomers in vitro in mouse, rat and human tissues.

Authors:  P Upadhyaya; S G Carmella; F P Guengerich; S S Hecht
Journal:  Carcinogenesis       Date:  2000-06       Impact factor: 4.944

2.  Elimination of cotinine from body fluids: implications for noninvasive measurement of tobacco smoke exposure.

Authors:  M J Jarvis; M A Russell; N L Benowitz; C Feyerabend
Journal:  Am J Public Health       Date:  1988-06       Impact factor: 9.308

Review 3.  Developing smokeless tobacco products for smokers: an examination of tobacco industry documents.

Authors:  C M Carpenter; G N Connolly; O A Ayo-Yusuf; G Ferris Wayne
Journal:  Tob Control       Date:  2008-10-23       Impact factor: 7.552

4.  Trends in the use of cigarettes and other tobacco products, 2000-2007.

Authors:  Gregory N Connolly; Hillel R Alpert
Journal:  JAMA       Date:  2008-06-11       Impact factor: 56.272

Review 5.  Urinary cotinine as a tobacco-smoke exposure index: a minireview.

Authors:  V Haufroid; D Lison
Journal:  Int Arch Occup Environ Health       Date:  1998-05       Impact factor: 3.015

6.  Quantitation of metabolites of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone after cessation of smokeless tobacco use.

Authors:  Stephen S Hecht; Steven G Carmella; Ming Ye; Ky-anh Le; Joni A Jensen; Cheryl L Zimmerman; Dorothy K Hatsukami
Journal:  Cancer Res       Date:  2002-01-01       Impact factor: 12.701

7.  Metabolism of the tobacco-specific carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone to its biomarker total NNAL in smokeless tobacco users.

Authors:  Stephen S Hecht; Steven G Carmella; Irina Stepanov; Joni Jensen; Amanda Anderson; Dorothy K Hatsukami
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-03       Impact factor: 4.254

8.  Metabolites of a tobacco-specific nitrosamine, 4-(methylnitrosamino)- 1-(3-pyridyl)-1-butanone (NNK), in the urine of smokeless tobacco users: relationship between urinary biomarkers and oral leukoplakia.

Authors:  L A Kresty; S G Carmella; A Borukhova; S A Akerkar; R Gopalakrishnan; R E Harris; G D Stoner; S S Hecht
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1996-07       Impact factor: 4.254

9.  Evaluation of carcinogen exposure in people who used "reduced exposure" tobacco products.

Authors:  Dorothy K Hatsukami; Charlotte Lemmonds; Yan Zhang; Sharon E Murphy; Chap Le; Steven G Carmella; Stephen S Hecht
Journal:  J Natl Cancer Inst       Date:  2004-06-02       Impact factor: 13.506

10.  Similar exposure to a tobacco-specific carcinogen in smokeless tobacco users and cigarette smokers.

Authors:  Stephen S Hecht; Steven G Carmella; Sharon E Murphy; William T Riley; Chap Le; Xianghua Luo; Marc Mooney; Dorothy K Hatsukami
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-08       Impact factor: 4.254

View more
  5 in total

1.  Observed differentials in the levels of selected environmental contaminants among Mexican and other Hispanic American children, adolescents, adults, and senior citizens.

Authors:  Ram B Jain
Journal:  Environ Sci Pollut Res Int       Date:  2017-11-29       Impact factor: 4.223

2.  Validation of self-reported smokeless tobacco use by measurement of serum cotinine concentration among US adults.

Authors:  Israel T Agaku; Brian A King
Journal:  Am J Epidemiol       Date:  2014-08-13       Impact factor: 4.897

3.  Exposure to a Tobacco-Specific Carcinogen Among Adolescent Smokeless Tobacco Users in Rural California, United States.

Authors:  Benjamin W Chaffee; Peyton Jacob; Elizabeth T Couch; Neal L Benowitz
Journal:  Nicotine Tob Res       Date:  2020-10-08       Impact factor: 4.244

4.  Nicotine and Toxicant Exposure among U.S. Smokeless Tobacco Users: Results from 1999 to 2012 National Health and Nutrition Examination Survey Data.

Authors:  Brian L Rostron; Cindy M Chang; Dana M van Bemmel; Yang Xia; Benjamin C Blount
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-12       Impact factor: 4.254

5.  Patterns and predictors of smokeless tobacco use among adults in Bangladesh: findings from the International Tobacco Control (ITC) Bangladesh survey.

Authors:  Abu S Abdullah; Pete Driezen; Ummul H Ruthbah; Nigar Nargis; Anne C K Quah; Geoffrey T Fong
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.