Literature DB >> 12773728

Improving the self reporting of tobacco use: results of a factorial experiment.

D W Cowling1, T P Johnson, B C Holbrook, R B Warnecke, H Tang.   

Abstract

OBJECTIVES: To examine divergent estimates of smoking prevalence in two random digit dial surveys for the same population. Based upon internal and external reviews of survey procedures, differences in survey introductions (general health versus tobacco specific introduction) and/or differences in the use of filter questions were identified as the most likely explanations. This prompted an experiment designed to investigate these potential sources of measurement error.
DESIGN: A randomised 2 x 2 factorial experiment.
SETTING: A random digit dial telephone survey from July to September 2000.
SUBJECTS: 3996 adult Californian respondents. MAIN OUTCOME MEASURES: A series of smoking prevalence questions in the context of a tobacco or general health survey.
RESULTS: Logistic regression analyses suggest that, among females, prior knowledge (from the survey introduction) that a survey is concerned with tobacco use may decrease self reported smoking prevalence (approximately 4% absolute prevalence difference). Differences in the use of filter questions resulted in almost no misclassification of respondents.
CONCLUSIONS: The tobacco specific survey introduction is causing some smokers to deny their tobacco use. The data suggest that these smokers tend to be women that smoked occasionally. A desire by the participants to minimise their personal time costs or a growing social disapproval of tobacco use in the USA may be contributing to the creation of previously undetected survey artefacts in the measurement of tobacco related behaviours.

Entities:  

Mesh:

Year:  2003        PMID: 12773728      PMCID: PMC1747700          DOI: 10.1136/tc.12.2.178

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  8 in total

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Journal:  Am J Public Health       Date:  1994-07       Impact factor: 9.308

8.  Difficult-to-recruit respondents and their effect on prevalence estimates in an epidemiologic survey.

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  8 in total
  13 in total

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2.  Who conceals their smoking status from their health care provider?

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3.  ADOLESCENTS' INCONSISTENCY IN SELF-REPORTED SMOKING: A COMPARISON OF REPORTS IN SCHOOL AND IN HOUSEHOLD SETTINGS.

Authors:  Pamela C Griesler; Denise B Kandel; Christine Schaffran; Mei-Chen Hu; Mark Davies
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5.  Impact of tobacco control policies and mass media campaigns on monthly adult smoking prevalence.

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6.  Estimates of cigarette smoking from the NJ adult tobacco survey: real or spurious?

Authors:  Cristine D Delnevo; Daniel A Gundersen; Mary Hrywna; Olivia Wackowski; Randal S Zuwallack
Journal:  Am J Health Behav       Date:  2010 Sep-Oct

7.  Racial/Ethnic Disparities in Consistent Reporting of Smoking-Related Behaviors.

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Journal:  J Addict Behav Ther Rehabil       Date:  2015-11-29

8.  Consistency and Recanting of Ever-Smoking Status Reported by Self and Proxy Respondents One Year Apart.

Authors:  Julia N Soulakova; Lisa J Crockett
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9.  Differences in smoking prevalence between the adult tobacco survey and the behavioral risk factor surveillance system.

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Journal:  Prev Chronic Dis       Date:  2004-09-15       Impact factor: 2.830

10.  Tobacco use induces anti-apoptotic, proliferative patterns of gene expression in circulating leukocytes of Caucasian males.

Authors:  Peter C Charles; Brian D Alder; Eleanor G Hilliard; Jonathan C Schisler; Robert E Lineberger; Joel S Parker; Sabeen Mapara; Samuel S Wu; Andrea Portbury; Cam Patterson; George A Stouffer
Journal:  BMC Med Genomics       Date:  2008-08-18       Impact factor: 3.063

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