Document Detail


Control Systems Engineering for Understanding and Optimizing Smoking Cessation Interventions.
MedLine Citation:
PMID:  24362946     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Cigarette smoking remains a major public health issue. Despite a variety of treatment options, existing intervention protocols intended to support attempts to quit smoking have low success rates. An emerging treatment framework, referred to as adaptive interventions in behavioral health, addresses the chronic, relapsing nature of behavioral health disorders by tailoring the composition and dosage of intervention components to an individual's changing needs over time. An important component of a rapid and effective adaptive smoking intervention is an understanding of the behavior change relationships that govern smoking behavior and an understanding of intervention components' dynamic effects on these behavioral relationships. As traditional behavior models are static in nature, they cannot act as an effective basis for adaptive intervention design. In this article, behavioral data collected daily in a smoking cessation clinical trial is used in development of a dynamical systems model that describes smoking behavior change during cessation as a self-regulatory process. Drawing from control engineering principles, empirical models of smoking behavior are constructed to reflect this behavioral mechanism and help elucidate the case for a control-oriented approach to smoking intervention design.
Authors:
Kevin P Timms; Daniel E Rivera; Linda M Collins; Megan E Piper
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Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Proceedings of the ... American Control Conference. American Control Conference     Volume:  -     ISSN:  0743-1619     ISO Abbreviation:  Proc Am Control Conf     Publication Date:  2013  
Date Detail:
Created Date:  2013-12-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101523557     Medline TA:  Proc Am Control Conf     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1964-1969     Citation Subset:  -    
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
K25 DA021173/DA/NIDA NIH HHS; P50 DA010075/DA/NIDA NIH HHS; R21 DA024266/DA/NIDA NIH HHS

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