Risk perception and smoking behavior in medically ill smokers: a prospective study
Borrelli, Belinda ; Hayes, Rashelle B. ; Dunsiger, Shira ; Fava, Joseph L.
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UMass Chan Affiliations
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Keywords
Age Factors
Community Health Nursing
Counseling
Female
*Health Knowledge, Attitudes, Practice
*Health Status
Humans
Male
Middle Aged
Prospective Studies
*Risk-Taking
Smoking
Smoking Cessation
United States
Behavioral Disciplines and Activities
Behavior and Behavior Mechanisms
Community Health and Preventive Medicine
Preventive Medicine
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Abstract
AIMS: To examine the influence of risk perception on intentions to quit smoking and post-treatment abstinence.
DESIGN: Prospective and longitudinal.
SETTING: United States.
PARTICIPANTS: A total of 237 adult smokers (mean age 56 years) receiving medical care from home health-care nurses. Participants did not have to want to quit smoking to participate, but received cessation counseling within the context of their medical care.
MEASUREMENTS: Three measures of risk perception were given pre- and post-treatment: perceived vulnerability, optimistic bias and precaution effectiveness. Smoking status was verified biochemically at end of treatment and at 2, 6 and 12 months later.
FINDINGS: Principal components analysis supported the theoretical discriminability of the risk perception measures, and intercorrelations provided evidence for concurrent and predictive validity. Elevated risk perception was associated with a variety of socio-demographic and psychosocial characteristics. Optimistic bias was associated significantly with older age and ethnic minority status. Smokers in pre-contemplation had lower perceived vulnerability and precaution effectiveness and greater optimistic bias than those in contemplation and preparation. Smokers in preparation had higher perceived vulnerability and lower optimistic bias than those in earlier stages. Change in perceived vulnerability predicted smoking cessation at follow-up. Optimistic bias predicted a lower likelihood of cessation and precaution effectiveness predicted a greater likelihood of smoking cessation, but only among those with a smoking-related illness.
CONCLUSIONS: In patients receiving medical care from home health-care nurses, change in perceived vulnerability to smoking-related disease is predictive of smoking cessation. In those with smoking-related illnesses, optimistic bias predicts continued smoking while precaution effectiveness predicts cessation.
Source
Addiction. 2010 Jun;105(6):1100-8. Epub 2010 Mar 22. Link to article on publisher's site