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. 2008 Jun;17 Suppl 1(Suppl 1):S65-9.
doi: 10.1002/mpr.251.

Development and validation of a cluster-based classification system to facilitate treatment tailoring

Susan E Collins  1 , Iris Torchalla, Martina Schröter, Gerhard Buchkremer, Anil Batra
Affiliations

Development and validation of a cluster-based classification system to facilitate treatment tailoring

Susan E Collins et al. Int J Methods Psychiatr Res. 2008 Jun.

Abstract
in English, French

Aims: The objectives of this study were to replicate smoker profiles identified in Batra et al. (in press) and to develop a cluster-based classification system to categorize new cases into smoker profiles so that an appropriate tailored intervention could be applied.

Methods: Participants were smokers in southwest Germany who sought treatment for smoking cessation. In the first sample, discriminant analysis was used to create classification formulas for a future study (classification sample: n = 165). The second sample served to replicate the smoker profiles, which included participants reporting symptoms of hyperactivity/novelty-seeking, depressivity or high nicotine dependence as well as participants scoring low across smoking and psychological variables (replication sample: N = 134).

Results: Part 1 was focused on the development of formulas, using Fisher's coefficients, with which new cases could be classified. Part 2 adequately replicated previous findings concerning the smoker profiles, such that 70% of participants in the second sample were classified identically using cluster analysis and classification formulas.

Conclusions: The smoker profiles found in a previous study were replicated, and a classification system was developed for a future study which will test the efficacy of tailored treatments for the different smoker profiles.

Aims: The objectives of this study were to replicate smoker profiles identified in Batra et al. (in press) and to develop a cluster‐based classification system to categorize new cases into smoker profiles so that an appropriate tailored intervention could be applied.

Methods: Participants were smokers in southwest Germany who sought treatment for smoking cessation. In the first sample, discriminant analysis was used to create classification formulas for a future study (classification sample: n = 165). The second sample served to replicate the smoker profiles, which included participants reporting symptoms of hyperactivity/novelty‐seeking, depressivity or high nicotine dependence as well as participants scoring low across smoking and psychological variables (replication sample: N = 134).

Results: Part 1 was focused on the development of formulas, using Fisher's coefficients, with which new cases could be classified. Part 2 adequately replicated previous findings concerning the smoker profiles, such that 70% of participants in the second sample were classified identically using cluster analysis and classification formulas.

Conclusions: The smoker profiles found in a previous study were replicated, and a classification system was developed for a future study which will test the efficacy of tailored treatments for the different smoker profiles. Copyright © 2008 John Wiley & Sons, Ltd.

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References

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    1. Batra A, Collins SE, Torchalla I, Schöter M, Buchkremer G. Multidimensional smoker profiles and their prediction of smoking following a pharmacobehavioral intervention. J Subst Abuse Treat 2008; (In press) DOI: 10.1016/j.jsat.2007.08.006 - PubMed
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