Literature DB >> 30593984

Assessing tobacco use in an African population: Serum and urine cotinine cut-offs from South Africa.

Lisa J Ware1, Karen Charlton2, Ruan Kruger3, Yolandi Breet4, Johannes van Rooyen5, Hugo Huisman6, Shani Botha7, Aletta S Uys8, Kirsten L Rennie9, Nirmala Naidoo10, Paul Kowal11, Aletta E Schutte12.   

Abstract

BACKGROUND: Cotinine, a nicotine metabolite, is used to measure tobacco use and exposure, but recommended cut-offs to differentiate tobacco users from those exposed through the environment range from 3 to 58 ng/ml in serum, and 2.5 to 550 ng/ml in urine. Cut-offs may differ by ethnicity, sex and age. As data from adults in Africa are scarce, our aim was to evaluate cut-offs for serum and urine cotinine that best predict self-reported tobacco use in South African adults.
METHODS: Two datasets were explored: African-PREDICT (n = 941 black and white healthy young adults, 20-30 years, serum cotinine); and WHO SAGE Wave 2 (n = 604 adults, 18-102 years, urine cotinine). Population specific cut-offs (ROC analyses) were compared with published cut-offs and self-reported tobacco use.
RESULTS: Overall, 19% (293 of 1545) reported current tobacco use. The following cotinine cut-offs showed the highest sensitivity and specificity: serum ≥15 ng/ml in black and white men, and white women; serum ≥10 ng/ml in black women; urine ≥300 ng/ml for black, mixed ancestry, and older adults (50-plus years); urine ≥500 ng/ml for younger adults (18-49 years). Specificity was lower for urine than for serum cotinine.
CONCLUSION: Our study suggests that a serum cotinine level of ≥15 ng/ml and a urine cotinine level of ≥300 ng/ml best distinguish current tobacco users from non-users generally in the South African adult population.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Cotinine; Smoking; Sub-Saharan Africa; Tobacco

Mesh:

Substances:

Year:  2018        PMID: 30593984      PMCID: PMC6424978          DOI: 10.1016/j.drugalcdep.2018.11.022

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  44 in total

1.  Prevalence and correlates of substance use among high school students in South Africa and the United States.

Authors:  Priscilla Reddy; Kenneth Resnicow; Riyadh Omardien; Nilen Kambaran
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2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  Optimum cutoff points for biochemical validation of smoking status.

Authors:  S R Cummings; R J Richard
Journal:  Am J Public Health       Date:  1988-05       Impact factor: 9.308

4.  Racial differences in serum cotinine levels among smokers in the Coronary Artery Risk Development in (Young) Adults study.

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Journal:  Am J Public Health       Date:  1990-09       Impact factor: 9.308

5.  Validation of self reported smoking by serum cotinine measurement in a community-based study.

Authors:  E Vartiainen; T Seppälä; P Lillsunde; P Puska
Journal:  J Epidemiol Community Health       Date:  2002-03       Impact factor: 3.710

6.  Cotinine disposition and effects.

Authors:  N L Benowitz; F Kuyt; P Jacob; R T Jones; A L Osman
Journal:  Clin Pharmacol Ther       Date:  1983-11       Impact factor: 6.875

7.  Disposition kinetics and metabolism of nicotine and cotinine in African American smokers: impact of CYP2A6 genetic variation and enzymatic activity.

Authors:  Neal L Benowitz; Gideon St Helen; Delia A Dempsey; Peyton Jacob; Rachel F Tyndale
Journal:  Pharmacogenet Genomics       Date:  2016-07       Impact factor: 2.089

8.  Nicotine absorption and cardiovascular effects with smokeless tobacco use: comparison with cigarettes and nicotine gum.

Authors:  N L Benowitz; H Porchet; L Sheiner; P Jacob
Journal:  Clin Pharmacol Ther       Date:  1988-07       Impact factor: 6.875

9.  Nicotine metabolism and intake in black and white smokers.

Authors:  E J Pérez-Stable; B Herrera; P Jacob; N L Benowitz
Journal:  JAMA       Date:  1998-07-08       Impact factor: 56.272

10.  E-Cigarette Awareness, Use, and Harm Perception among Adults: A Meta-Analysis of Observational Studies.

Authors:  Ying Xu; Yanfang Guo; Kaiqian Liu; Zheng Liu; Xiaobo Wang
Journal:  PLoS One       Date:  2016-11-18       Impact factor: 3.240

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Authors:  Hyun-Seung Lee; Ji-Hyun Cho; Young-Jin Lee; Do-Sim Park
Journal:  Int J Environ Res Public Health       Date:  2022-06-29       Impact factor: 4.614

2.  Pensions, consumption and health: evidence from rural South Africa.

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  2 in total

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