Literature DB >> 27347741

Measurement of smoking behavior: Comparison of self-reports, returned cigarette butts, and toxicant levels.

Melissa D Blank1, Alison B Breland2, Paul T Enlow1, Christina Duncan1, Aaron Metzger1, Caroline O Cobb2.   

Abstract

A basic tenet of empirical research on cigarette smoking behavior is the systematic assessment of patterns of use. However, the large majority of extant research relies on smokers' retrospective reports of their average number of cigarettes per day (CPD), a measure that may be variable in terms of reliability and validity. Using data from 3 previously published studies of non-treatment-seeking daily smokers (combined N = 89), this analysis examined the reliability of self-reported CPD, the consistency of returned cigarette butts each day over 4 consecutive 24-hr periods, the validity of self-reported CPD compared with returned cigarette butts, and the relationship of CPD and returned cigarette butts to toxicant exposure. Results showed that self-reported CPD was reliable across telephone and in-person screening interviews (r = .87, p < .01). Although average self-reported CPD and returned cigarette butt counts did not differ significantly, t(87) = -1.5 to 0.3, all ns, butt counts revealed a wider range of variability in daily smoking behavior. In addition, self-reported cigarette use exhibited substantial digit bias (Whipple's index = 413.8), meaning that participants tended to round their estimates to values ending in 0 or 5. Cigarette butt counts, but not self-reported CPD, were significantly associated with exposure to smoke toxicants. However, this former relationship was revealed to be linear, but not curvilinear, in nature. These findings have implications for both research and treatment efforts, as researchers often rely on accurate assessment of CPD to predict a variety of smoking-related outcomes. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27347741      PMCID: PMC5048488          DOI: 10.1037/pha0000083

Source DB:  PubMed          Journal:  Exp Clin Psychopharmacol        ISSN: 1064-1297            Impact factor:   3.157


  46 in total

1.  Electronic versus paper instruments for daily data collection.

Authors: 
Journal:  Ann Epidemiol       Date:  2000-10-01       Impact factor: 3.797

2.  Daily patterns of alcohol, cigarette, and marijuana use in adolescent smokers and nonsmokers.

Authors:  Amy M Duhig; Dana A Cavallo; Sherry A McKee; Tony P George; Suchitra Krishnan-Sarin
Journal:  Addict Behav       Date:  2005-02       Impact factor: 3.913

3.  Daily smoking patterns, their determinants, and implications for quitting.

Authors:  Siddharth Chandra; Saul Shiffman; Deborah M Scharf; Qianyu Dang; William G Shadel
Journal:  Exp Clin Psychopharmacol       Date:  2007-02       Impact factor: 3.157

4.  Quantitation of urinary metabolites of a tobacco-specific lung carcinogen after smoking cessation.

Authors:  S S Hecht; S G Carmella; M Chen; J F Dor Koch; A T Miller; S E Murphy; J A Jensen; C L Zimmerman; D K Hatsukami
Journal:  Cancer Res       Date:  1999-02-01       Impact factor: 12.701

Review 5.  The validity of self-reported drug use in survey research: an overview and critique of research methods.

Authors:  L Harrison
Journal:  NIDA Res Monogr       Date:  1997

6.  Daily and weekly smoking habits: a Box-Jenkins analysis.

Authors:  J Rosel; E Elósegui
Journal:  Psychol Rep       Date:  1994-12

7.  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

8.  Moving beyond average values: assessing the night-to-night instability of sleep and arousal in DSM-IV-TR insomnia subtypes.

Authors:  M Montserrat Sánchez-Ortuño; Colleen E Carney; Jack D Edinger; James K Wyatt; Andrea Harris
Journal:  Sleep       Date:  2011-04-01       Impact factor: 5.849

9.  The dose-response relationship between cigarette consumption, biochemical markers and risk of lung cancer.

Authors:  M R Law; J K Morris; H C Watt; N J Wald
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

10.  Cigarette smoking and subjective response: effects of d-amphetamine.

Authors:  J E Henningfield; R R Griffiths
Journal:  Clin Pharmacol Ther       Date:  1981-10       Impact factor: 6.875

View more
  9 in total

1.  An electronic, smart lighter to measure cigarette smoking: A pilot study to assess feasibility and initial validity.

Authors:  Rachel L Tomko; Erin A McClure; Patrick A Cato; Julie B Wang; Matthew J Carpenter; Joshua L Karelitz; Brett Froeliger; Michael E Saladin; Kevin M Gray
Journal:  Addict Behav       Date:  2019-07-15       Impact factor: 3.913

Review 2.  Harm reduction for smokers living with HIV.

Authors:  Jonathan Shuter; Krishna P Reddy; Emily P Hyle; Cassandra A Stanton; Nancy A Rigotti
Journal:  Lancet HIV       Date:  2021-08-27       Impact factor: 16.070

3.  Nondaily Smokers' Changes in Cigarette Consumption With Very Low-Nicotine-Content Cigarettes: A Randomized Double-blind Clinical Trial.

Authors:  Saul Shiffman; Brenda F Kurland; Sarah M Scholl; Jason M Mao
Journal:  JAMA Psychiatry       Date:  2018-10-01       Impact factor: 21.596

4.  The Great Disrupter: Relationship of Alexithymia to Emotion Regulation Processes and Smoking among Pregnant Women.

Authors:  Braden K Linn; Paul R Stasiewicz; Jennifer Fillo; Clara M Bradizza
Journal:  Subst Use Misuse       Date:  2020-03-10       Impact factor: 2.164

5.  Measurement of cigarette smoking: Comparisons of global self-report, returned cigarette filters, and ecological momentary assessment.

Authors:  Jenny E Ozga; Colleen Bays; Ilana Haliwa; Nicholas J Felicione; Stuart G Ferguson; Geri Dino; Melissa D Blank
Journal:  Exp Clin Psychopharmacol       Date:  2021-02-25       Impact factor: 3.492

6.  Tobacco control environment: cross-sectional survey of policy implementation, social unacceptability, knowledge of tobacco health harms and relationship to quit ratio in 17 low-income, middle-income and high-income countries.

Authors:  Clara K Chow; Daniel J Corsi; Anna B Gilmore; Annamarie Kruger; Ehimario Igumbor; Jephat Chifamba; Wang Yang; Li Wei; Romaina Iqbal; Prem Mony; Rajeev Gupta; Krishnapillai Vijayakumar; V Mohan; Rajesh Kumar; Omar Rahman; Khalid Yusoff; Noorhassim Ismail; Katarzyna Zatonska; Yuksel Altuntas; Annika Rosengren; Ahmad Bahonar; AfzalHussein Yusufali; Gilles Dagenais; Scott Lear; Rafael Diaz; Alvaro Avezum; Patricio Lopez-Jaramillo; Fernando Lanas; Sumathy Rangarajan; Koon Teo; Martin McKee; Salim Yusuf
Journal:  BMJ Open       Date:  2017-03-31       Impact factor: 2.692

7.  The prevalence of substance use among Russian, Somali and Kurdish migrants in Finland: a population-based study.

Authors:  Essi Salama; Solja Niemelä; Jaana Suvisaari; Tiina Laatikainen; Päivikki Koponen; Anu E Castaneda
Journal:  BMC Public Health       Date:  2018-05-22       Impact factor: 3.295

8.  Individual and joint contributions of genetic and methylation risk scores for enhancing lung cancer risk stratification: data from a population-based cohort in Germany.

Authors:  Haixin Yu; Janhavi R Raut; Ben Schöttker; Bernd Holleczek; Yan Zhang; Hermann Brenner
Journal:  Clin Epigenetics       Date:  2020-06-18       Impact factor: 6.551

9.  A Time-Varying Effect Model (TVEM) of the Complex Association of Tobacco Use and Smoke Exposure on Mean Telomere Length: Differences between Racial and Ethnic Groups Assessed in the National Health and Nutrition Examination Survey.

Authors:  Francisco Alejandro Montiel Ishino; Claire E Rowan; Kevin Villalobos; Janani Rajbhandari-Thapa; Faustine Williams
Journal:  Int J Environ Res Public Health       Date:  2022-09-04       Impact factor: 4.614

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.