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Motivation to quit smoking among parents of urban children with asthma.

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Bibliographic Details
Title:	Motivation to quit smoking among parents of urban children with asthma.
Authors:	Halterman JS (AUTHOR), Borrelli B (AUTHOR), Conn KM (AUTHOR), Tremblay P (AUTHOR), Blaakman S (AUTHOR), Halterman, Jill S¹ (AUTHOR), Borrelli, Belinda (AUTHOR), Conn, Kelly M (AUTHOR), Tremblay, Paul (AUTHOR), Blaakman, Susan (AUTHOR)
Source:	Patient Education & Counseling. May2010, Vol. 79 Issue 2, p152-155. 4p.
Abstract:	Objective: To identify factors associated with motivation to quit smoking among parents of urban children with asthma.Methods: We analyzed data from parents who smoke and had a child enrolled in the School-Based Asthma Therapy (SBAT) trial. We assessed asthma symptoms, children's cotinine, and parent smoking behaviors. Motivation to quit smoking was assessed by a 10-point continuous measure (1, not at all motivated; 10, very motivated).Results: 209 parents smoked (39% of sample), and children's mean cotinine was 2.48 ng/ml. Motivation to quit was on average 6.9, and 47% of parents scored >or=8 on the scale. Parents who believed their child's asthma was not under good control, and parents who strongly agreed their child's asthma symptoms would decrease if they stop smoking had higher motivation to quit compared to their counterparts (p<.05). In a multivariate analysis, parents who believed their child's asthma was not under control had more than twice the odds of reporting high motivation to quit.Conclusion: Parents' perception of the risks of smoking to their child with asthma is associated with motivation to quit.Practice Implications: Raising awareness about the effect of smoking and quitting on children's asthma might increase motivation to quit among parents. [ABSTRACT FROM AUTHOR]
	Copyright of Patient Education & Counseling is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Education Research Complete

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