Response error in self-reported current smoking frequency by black and white established smokers
P I Clark1, S P Gautam, W M Hlaing
1Division of Community Health Sciences, Northeastern Ohio Universities College of Medicine, Rootstown 44272, USA.
Annals of Epidemiology
|November 1, 1996
Summary
Black and white smokers both overestimate their smoking frequency, with no significant difference in reporting bias between groups. This finding suggests that reporting errors do not explain higher cotinine levels in Black smokers.
Area of Science:
- Public Health
- Behavioral Science
- Nicotine Research
Background:
- Black smokers face higher risks for smoking-related diseases than white smokers, despite reporting lower daily cigarette consumption.
- Disproportionately high serum cotinine levels in Black smokers have prompted concerns about potential self-reporting bias.
Purpose of the Study:
- To evaluate and compare the accuracy of self-reported smoking patterns between established Black and white smokers.
- To investigate potential racial differences in reporting errors related to smoking habits.
Main Methods:
- Structured telephone interviews and self-administered questionnaires were used to collect self-reported smoking data.
- Objective measures, including cigarette butt counts and lengths, were utilized to validate self-reported smoking patterns.
- Test-retest reliability of self-reported data was assessed in both racial groups.
Main Results:
- Both Black and white smokers significantly overestimated their smoking frequency, with no significant difference in the extent of this bias between groups.
- Underreporting of smoking was not found to be more prevalent in Black smokers compared to white smokers.
- While Black smokers smoked more of each cigarette and longer cigarettes, their total daily cigarette consumption (in millimeters) was lower than white smokers.
Conclusions:
- Self-reporting errors do not appear to explain the higher serum cotinine levels observed in Black smokers.
- Both racial groups exhibit poor accuracy in categorizing smoking frequency using the Fagerström Test for Nicotine Dependence.
- Further research is needed to understand the factors contributing to health disparities in smoking-related diseases.
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