Literature DB >> 28042733

Analysis of self-reported versus biomarker based smoking prevalence: methodology to compute corrected smoking prevalence rates.

Ram B Jain1.   

Abstract

CONTEXT: Prevalence of smoking is needed to estimate the need for future public health resources.
OBJECTIVE: To compute and compare smoking prevalence rates by using self-reported smoking statuses, two serum cotinine (SCOT) based biomarker methods, and one urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) based biomarker method. These estimates were then used to develop correction factors to be applicable to self-reported prevalences to arrive at corrected smoking prevalence rates.
MATERIALS AND METHODS: Data from National Health and Nutrition Examination Survey (NHANES) for 2007-2012 for those aged ≥20 years (N = 16826) were used.
RESULTS: Self-reported prevalence rate for the total population computed as the weighted number of self-reported smokers divided by weighted number of all participants was 21.6% and 24% when computed by weighted number of self-reported smokers divided by the weighted number of self-reported smokers and nonsmokers. The corrected prevalence rate was found to be 25.8%. DISCUSSION AND
CONCLUSIONS: A 1% underestimate in smoking prevalence is equivalent to not being able to identify 2.2 million smokers in US in a given year. This underestimation, if not corrected, could lead to serious gap in the public health services available and needed to provide adequate preventive and corrective treatment to smokers.

Entities:  

Keywords:  NHANES; Smoking; race/ethnicity; serum cotinine; tobacco biomarkers; urinary NNAL

Mesh:

Substances:

Year:  2017        PMID: 28042733     DOI: 10.1080/1354750X.2016.1278264

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


  4 in total

1.  Estimates of cutoffs with specificities and sensitivities for urine cotinine and hydroxycotinine for US adults aged ≥ 20 years to classify smokers and nonsmokers.

Authors:  Ram Baboo Jain
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-17       Impact factor: 4.223

2.  The prevalence of and factors associated with urinary cotinine-verified smoking in Korean adults: The 2008-2011 Korea National Health and Nutrition Examination Survey.

Authors:  Jae Won Hong; Jung Hyun Noh; Dong-Jun Kim
Journal:  PLoS One       Date:  2018-06-11       Impact factor: 3.240

3.  Associations of smoking indicators and cotinine levels with telomere length: National Health and Nutrition Examination Survey.

Authors:  Rumana J Khan; Samson Y Gebreab; Amadou Gaye; Pia R Crespo; Ruihua Xu; Sharon K Davis
Journal:  Prev Med Rep       Date:  2019-05-17

4.  Associations between smoking and lipid/lipoprotein concentrations among US adults aged ≥20 years.

Authors:  Ram B Jain; Alan Ducatman
Journal:  J Circ Biomark       Date:  2018-05-31
  4 in total

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