Literature DB >> 19125149

Methods for quantification of exposure to cigarette smoking and environmental tobacco smoke: focus on developmental toxicology.

Ana Florescu1, Roberta Ferrence, Tom Einarson, Peter Selby, Offie Soldin, Gideon Koren.   

Abstract

Active and passive smoking have been associated with an array of adverse effects on health. The development of valid and accurate scales of measurement for exposures associated with health risks constitutes an active area of research. Tobacco smoke exposure still lacks an ideal method of measurement. A valid estimation of the risks associated with tobacco exposure depends on accurate measurement. However, some groups of people are more reluctant than others to disclose their smoking status and exposure to tobacco. This is particularly true for pregnant women and parents of young children, whose smoking is often regarded as socially unacceptable. For others, recall of tobacco exposure may also prove difficult. Because relying on self-report and the various biases it introduces may lead to inaccurate measures of nicotine exposure, more objective solutions have been suggested. Biomarkers constitute the most commonly used objective method of ascertaining nicotine exposure. Of those available, cotinine has gained supremacy as the biomarker of choice. Traditionally, cotinine has been measured in blood, saliva, and urine. Cotinine collection and analysis from these sources has posed some difficulties, which have motivated the search for a more consistent and reliable source of this biomarker. Hair analysis is a novel, noninvasive technique used to detect the presence of drugs and metabolites in the hair shaft. Because cotinine accumulates in hair during hair growth, it is a unique measure of long-term, cumulative exposure to tobacco smoke. Although hair analysis of cotinine holds great promise, a detailed evaluation of its potential as a biomarker of nicotine exposure, is needed. No studies have been published that address this issue. Because the levels of cotinine in the body are dependent on nicotine metabolism, which in turn is affected by factors such as age and pregnancy, the characterization of hair cotinine should be population specific. This review aims at defining the sensitivity, specificity, and clinical utilization of different methods used to estimate exposure to cigarette smoking and environmental tobacco smoke.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19125149      PMCID: PMC3644554          DOI: 10.1097/FTD.0b013e3181957a3b

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  133 in total

1.  Validation of self reported smoking.

Authors:  M Rebagliato
Journal:  J Epidemiol Community Health       Date:  2002-03       Impact factor: 3.710

2.  Questionnaire or objective assessment for studying exposure to tobacco smoke among asthmatic and healthy children: The French VESTA Study.

Authors:  F Callais; I Momas; D Roche; S Gauvin; P Reungoat; D Zmirou
Journal:  Prev Med       Date:  2003-01       Impact factor: 4.018

3.  Environmental tobacco smoke exposure in children: parental perception of smokiness at home and other factors associated with urinary cotinine in preschool children.

Authors:  Dolores Jurado; Carmen Muñoz; Juan De Dios Luna; Milagros Fernández-Crehuet
Journal:  J Expo Anal Environ Epidemiol       Date:  2004-07

4.  Measuring nicotine intake in population surveys: comparability of saliva cotinine and plasma cotinine estimates.

Authors:  Martin J Jarvis; Paola Primatesta; Bob Erens; Colin Feyerabend; Andrew Bryant
Journal:  Nicotine Tob Res       Date:  2003-06       Impact factor: 4.244

5.  Placental abruption and perinatal death.

Authors:  N B Kyrklund-Blomberg; G Gennser; S Cnattingius
Journal:  Paediatr Perinat Epidemiol       Date:  2001-07       Impact factor: 3.980

6.  Measurement of self reported active exposure to cigarette smoke.

Authors:  J F Etter; T V Perneger
Journal:  J Epidemiol Community Health       Date:  2001-09       Impact factor: 3.710

7.  Intrauterine growth and gestational duration determinants.

Authors:  M S Kramer
Journal:  Pediatrics       Date:  1987-10       Impact factor: 7.124

Review 8.  Tobacco smoking, harm reduction, and biomarkers.

Authors:  Peter G Shields
Journal:  J Natl Cancer Inst       Date:  2002-10-02       Impact factor: 13.506

9.  Second-trimester serum cotinine levels in nonsmokers in relation to birth weight.

Authors:  J E Haddow; G J Knight; G E Palomaki; J E McCarthy
Journal:  Am J Obstet Gynecol       Date:  1988-08       Impact factor: 8.661

Review 10.  Association of prenatal maternal or postnatal child environmental tobacco smoke exposure and neurodevelopmental and behavioral problems in children.

Authors:  B Eskenazi; R Castorina
Journal:  Environ Health Perspect       Date:  1999-12       Impact factor: 9.031

View more
  130 in total

1.  Threshold of biologic responses of the small airway epithelium to low levels of tobacco smoke.

Authors:  Yael Strulovici-Barel; Larsson Omberg; Michael O'Mahony; Cynthia Gordon; Charleen Hollmann; Ann E Tilley; Jacqueline Salit; Jason Mezey; Ben-Gary Harvey; Ronald G Crystal
Journal:  Am J Respir Crit Care Med       Date:  2010-08-06       Impact factor: 21.405

2.  Nicotine and metabolites in meconium as evidence of maternal cigarette smoking during pregnancy and predictors of neonatal growth deficits.

Authors:  Teresa R Gray; Rina D Eiden; Kenneth E Leonard; Gerard Connors; Shannon Shisler; Marilyn A Huestis
Journal:  Nicotine Tob Res       Date:  2010-04-28       Impact factor: 4.244

3.  A case-control study of tobacco use and other non-occupational risk factors for lymphoma subtypes defined by t(14; 18) translocations and bcl-2 expression.

Authors:  Cindy M Chang; Jane C Schroeder; Andrew F Olshan; Cherie H Dunphy; Wen-Yi Huang; Ralph S Baric; Kathleen Conway; James R Cerhan; Charles F Lynch; Nathaniel Rothman; Kenneth P Cantor; Aaron Blair
Journal:  Cancer Causes Control       Date:  2010-03-16       Impact factor: 2.506

4.  Differential DNA methylation in blood as a mediator of the association between cigarette smoking and bladder cancer risk among postmenopausal women.

Authors:  Kristina M Jordahl; Amanda I Phipps; Timothy W Randolph; Hilary A Tindle; Simin Liu; Lesley F Tinker; Karl T Kelsey; Emily White; Parveen Bhatti
Journal:  Epigenetics       Date:  2019-06-23       Impact factor: 4.528

5.  A second reporter matters: agreement between parents' and children's reports of smoking bans in families.

Authors:  Ding Ding; Dennis R Wahlgren; Sandy Liles; Georg E Matt; McKenzie Oliver; Jennifer A Jones; Melbourne F Hovell
Journal:  Am J Prev Med       Date:  2011-05       Impact factor: 5.043

6.  Characterizing peak exposure of secondhand smoke using a real-time PM2.5 monitor.

Authors:  Ting Zhang; Steven N Chillrud; Qiang Yang; Masha Pitiranggon; James Ross; Frederica Perera; Junfeng Ji; Avrum Spira; Patrick N Breysse; Charles E Rodes; Rachel Miller; Beizhan Yan
Journal:  Indoor Air       Date:  2019-12-11       Impact factor: 5.770

7.  The feasibility of an air purifier and secondhand smoke education intervention in homes of inner city pregnant women and infants living with a smoker.

Authors:  Jessica L Rice; Emily Brigham; Rebecca Dineen; Sadiya Muqueeth; Gena O'Keefe; Stephanie Regenold; Kirsten Koehler; Ana Rule; Meredith McCormack; Nadia N Hansel; Gregory B Diette
Journal:  Environ Res       Date:  2017-10-29       Impact factor: 6.498

8.  Influence of developmental nicotine exposure on spike-timing precision and reliability in hypoglossal motoneurons.

Authors:  Gregory L Powell; Richard B Levine; Amanda M Frazier; Ralph F Fregosi
Journal:  J Neurophysiol       Date:  2014-12-30       Impact factor: 2.714

9.  A Droplet Digital PCR Assay for Smoking Predicts All-Cause Mortality.

Authors:  Allan M Andersen; Philip T Ryan; Fredrick X Gibbons; Ronald L Simons; Jeffrey D Long; Robert A Philibert
Journal:  J Insur Med       Date:  2019-01-31

10.  Estimating cotinine associations and a saliva cotinine level to identify active cigarette smoking in alaska native pregnant women.

Authors:  Julia J Smith; Renee F Robinson; Burhan A Khan; Connie S Sosnoff; Denise A Dillard
Journal:  Matern Child Health J       Date:  2014-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.