Elsevier

Addictive Behaviors

Volume 18, Issue 5, September–October 1993, Pages 511-527
Addictive Behaviors

Biochemical validation of smoking status: Pros, cons, and data from four low-intensity intervention trials

https://doi.org/10.1016/0306-4603(93)90068-KGet rights and content

Abstract

Biochemical validation of smoking status has long been considered essential, but recent reports have questioned its utility in certain kinds of field trials. We describe efforts to biochemically validate self-reports of smoking cessation from participants in four large-scale randomized trials in outpatient clinics, hospitals, worksites, and dental clinics. These studies included over 5,000 adult smokers who participated in the population-based low-intensity intervention evaluations. At a 1-year follow-up, 798 subjects reported no tobacco use. We attempted to verify these reports using saliva continine/carbon monoxide validation procedures. Overall, there was a moderately high nonparticipation rate (27%), a low disconfirmation rate (4%), and a high self-reported relapse rate (12%) in the interval between survey and biochemical validation. There were no differences between intervention and control conditions on any of the above variables. Longer durations of self-reported abstinence were strongly related to increased probability of biochemical confirmation. Differences in results across projects were related to how biochemical validation was conducted. These results, as well as statistical power considerations, raise questions about whether biochemical validation procedures are practical, informative, or cost-effective in such population-based, low-intensity intervention research.

References (34)

  • T.D. Cook et al.

    Design and analysis issues for field settings

    (1979)
  • R.I. Evans et al.

    Increasing the validity of self-reports of smoking behavior on children

    Journal of Applied Psychology

    (1977)
  • J.L. Fleiss

    Statistical methods for rates and proportions

    (1981)
  • R.E. Glasgow et al.

    Implementing a year long worksite-based incentive program for smoking cessation

    American Journal of Health Promotion

    (1991)
  • E.R. Gritz et al.

    A randomized trial of a self-help smoking cessation intervention in a nonvolunteer female population: Testing the limits of the public health model

    Health Psychology

    (1992)
  • N.J. Haley et al.

    Validation of self-reported smoking behavior: Biochemical analyses of continine and thiocyanate

    American Journal of Public Health

    (1983)
  • N.J. Haley et al.

    Elimination of continine from body fluids: Disposition in smokers and nonsmokers

    American Journal of Public Health

    (1989)
  • Cited by (160)

    • Association between generational status and smoking behaviors before and during pregnancy among Hispanic women

      2020, Addictive Behaviors
      Citation Excerpt :

      Therefore using self-reported measure in this study may underestimate true smoking prevalence among the study sample. However, the studies investigating the accuracy of self-reported smoking through biochemical validation have shown that self- reported smoking is accurate in most cases with only about 4–10% failures to confirm self-reported rates through biochemical analyses (Glasgow et al., 1993; Patrick et al., 1994). First generation Hispanic women in the NLSY79 had lower rates of smoking 12 months prior to pregnancy than third or higher generation Hispanic women and lower rate of smoking during pregnancy.

    • Lessons learned from unsuccessful use of personal carbon monoxide monitors to remotely assess abstinence in a pragmatic trial of a smartphone stop smoking app – A secondary analysis

      2019, Addictive Behaviors Reports
      Citation Excerpt :

      Remote assessment of self-reported abstinence in trials of digital cessation interventions using personal CO monitors is a promising and, in theory, more attractive and cheaper alternative to other available methods. However, in this study only a quarter of participants provided results of biochemical verification, much fewer than around 60–80% observed in other studies (e.g. (Glasgow et al., 1993), and unpublished data from (Brown et al., 2014)). These findings suggest that using CO monitors that connect to computers to remotely assess abstinence in a smartphone-based cessation trial was not feasible as per this study's protocol.

    View all citing articles on Scopus
    View full text