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Predictive validity and measurement issues in documenting quit intentions in population surveillance studies
S J Bondy1, J C Victor, S O'Connor
1Dalla Lana School of Public Health, University of Toronto, 155 College Street, 6th Floor, Toronto, Ontario, Canada M5T 3M7. sue.bondy@utoronto.ca
Classifying smokers by quit intention is crucial. Different measures yield varying results, with earlier quit intentions predicting attempts and abstinence, but no intention showing the strongest predictive validity.
Area of Science:
- Public Health
- Tobacco Control Research
- Behavioral Science
Background:
- Accurate classification of smokers' intention to quit is essential for public health and clinical interventions.
- Existing measures of quit intention may have limitations in accurately reflecting a smoker's commitment.
Purpose of the Study:
- To evaluate the measurement properties of different methods for assessing discrete-time intention to quit smoking.
- To examine the predictive validity of self-reported quit intentions in a population-based sample of smokers.
Main Methods:
- Ecological comparison of intention rates based on different measurement formats.
- Prospective analysis of 2,047 smokers using repeated measures and 1-year follow-up.
- Examination of predictive validity using various dichotomization points for an ordinal intention measure.
Main Results:
- The Stages of Change intention measure estimated higher quit intention rates compared to a single-question measure.
- A dose-response relationship was observed: earlier quit intentions correlated with higher likelihood of quit attempts and 30-day abstinence.
- Respondents reporting no intention to quit demonstrated the highest predictive validity for cessation outcomes, irrespective of prior quit attempt history.
Conclusions:
- Dichotomous measures of quit intention in specific timeframes possess limited psychometric properties but retain utility in applied research.
- A potential measurement effect exists, necessitating caution when comparing findings across different studies assessing quit intention.
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