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Individual cigarette usage: self-reported data as a function of respondent-reported data.

C A McMahan, M L Richards, J P Strong

    Atherosclerosis
    |May 1, 1976
    PubMed
    Summary
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    Researchers studied cigarette usage by interviewing subjects and closely associated respondents. Respondent reports accurately predicted subject usage, accounting for over 70% of data variability.

    Area of Science:

    • Public Health
    • Behavioral Science
    • Epidemiology

    Background:

    • Accurate assessment of individual cigarette consumption is crucial for public health research and interventions.
    • Self-reported data on smoking habits can be subject to bias, necessitating validation methods.

    Purpose of the Study:

    • To evaluate the reliability of using data from a respondent closely associated with a subject to estimate the subject's cigarette usage.
    • To determine the proportion of variability in subject-reported smoking data that can be explained by respondent-reported data.

    Main Methods:

    • The study employed an interview method to collect data from pairs of subjects and their associated respondents.
    • Various measures of cigarette usage were assessed.
    • Correlation coefficients and regression analyses were used to compare subject and respondent data.

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    Main Results:

    • A high mean correlation coefficient of 0.86 was found between subject-reported and respondent-reported cigarette usage data.
    • Respondent-provided data accounted for at least 70% of the variability in subject-reported usage.
    • Selected regression equations were developed to estimate subject cigarette usage based on respondent data.

    Conclusions:

    • Living respondents closely associated with subjects can provide reliable data for estimating individual cigarette usage.
    • Respondent-reported data offers a significant and valid method for assessing smoking habits, particularly when direct subject reporting may be limited.