Literature DB >> 7992679

Use of urine cotinine to validate smoking self-reports in U.S. Navy recruits.

T L Pokorski1, W W Chen, R L Bertholf.   

Abstract

Cotinine analysis of urine has been used by many researchers to determine validity of smoking self-reports. This technique is easy and inexpensive, but has not been used previously in military smoking studies. This study incorporated a random validation of self-reported smoking by U.S. Navy recruits participating in a smoking relapse program (N = 496). Results of cotinine analysis indicate only a 1% misrepresentation of actual smoking status. These results suggest smoking self-reports from U.S. Navy recruits are very good indicators of actual smoking status.

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Year:  1994        PMID: 7992679     DOI: 10.1016/0306-4603(94)90067-1

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  13 in total

1.  Is some provider advice on smoking cessation better than no advice? An instrumental variable analysis of the 2001 National Health Interview Survey.

Authors:  Yuhua Bao; Naihua Duan; Sarah A Fox
Journal:  Health Serv Res       Date:  2006-12       Impact factor: 3.402

2.  Individual differences in the processing of smoking-cessation video messages: An imaging genetics study.

Authors:  Zhenhao Shi; An-Li Wang; Catherine A Aronowitz; Daniel Romer; Daniel D Langleben
Journal:  Biol Psychol       Date:  2017-07-28       Impact factor: 3.251

3.  Associations between coherent neural activity in the brain's value system during antismoking messages and reductions in smoking.

Authors:  Nicole Cooper; Steven Tompson; Matthew B O'Donnell; Jean M Vettel; Danielle S Bassett; Emily B Falk
Journal:  Health Psychol       Date:  2018-02-15       Impact factor: 4.267

4.  Validity of recall of tobacco use in two prospective cohorts.

Authors:  Janet Brigham; Christina N Lessov-Schlaggar; Harold S Javitz; Ruth E Krasnow; Elizabeth Tildesley; Judy Andrews; Hyman Hops; Marie D Cornelius; Nancy L Day; Mary McElroy; Gary E Swan
Journal:  Am J Epidemiol       Date:  2010-08-18       Impact factor: 4.897

5.  Ethnic differences in reported smoking behaviors in face-to-face and telephone interviews.

Authors:  Orna Baron-Epel; Amalia Haviv-Messika; Manfred S Green; Dorit Nitzan Kalutzki
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

6.  Brain Activity in Self- and Value-Related Regions in Response to Online Antismoking Messages Predicts Behavior Change.

Authors:  Nicole Cooper; Steve Tompson; Matthew Brook O'Donnell; Emily B Falk
Journal:  J Media Psychol       Date:  2015-09-15

7.  Validation of smoking cessation self-reported by patients with chronic obstructive pulmonary disease.

Authors:  Sander R Hilberink; Johanna E Jacobs; Sanne van Opstal; Trudy van der Weijden; Janine Keegstra; Pascal Lj Kempers; Jean Wm Muris; Richard Ptm Grol; Hein de Vries
Journal:  Int J Gen Med       Date:  2011-01-23

8.  Predictive accuracy of a health risk appraisal program using mortality risk age in 116,927 Korean men.

Authors:  Ju-Young Kim; Byung-Joo Park; Yoon Kim; Jin-Ho Park; Be-Long Cho
Journal:  J Korean Med Sci       Date:  2011-01-24       Impact factor: 2.153

9.  Correlation between Abortion and Infertility among Nonsmoking Women with a History of Passive Smoking in Childhood and Adolescence.

Authors:  Jila Amirkhani; Soheila Yadollah-Damavandi; Seyed Mohammad-Javad Mirlohi; Seyede Mahnaz Nasiri; Yekta Parsa; Mohammad Gharehbeglou
Journal:  Int J Reprod Med       Date:  2014-08-13

10.  Influence of school-related factors on smoking among Chilean adolescents: a cross-sectional multilevel study.

Authors:  Jorge Gaete; Catalina Ortúzar; Pedro Zitko; Alan Montgomery; Ricardo Araya
Journal:  BMC Pediatr       Date:  2016-06-09       Impact factor: 2.125

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