Helping cancer patients quit smoking by increasing their risk perception: a study protocol of a cluster randomized controlled trial

Chan, Sophia Siu Chee; Wang, Man Ping; Lam, Tai Hing

doi:10.1186/s12885-015-1496-2

Cited by 7 publications

(14 citation statements)

References 28 publications

(27 reference statements)

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“…The results of this study highlight the need for more educational efforts on health risks associated with smoking, especially since people who understand the risks have higher cessation rates (Thakkar, Heeley, Chalmers, & Chow, 2015). Ongoing clinical trials on education, perception, and cessation may help determine optimal intervention timing and placement to maximize the relation between health risk and smoking cessation (NCT01685723; Li, Chan, Wang, & Lam, 2015). However, a recent paper examining clinician attitudes toward preventive education on health behaviors showed that one-third of clinicians believed that this reduced the time available for delivery of other services (Bartlem et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Predictors of the Perception of Smoking Health Risks in Smokers With or Without Schizophrenia

Kowalczyk

Wehring

Burton

et al. 2016

Journal of Dual Diagnosis

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Objective This study sought to examine the predictors of health risk perception in smokers with or without schizophrenia. Methods The health risk subscale from the Smoking Consequences Questionnaire was dichotomized and used to measure health risk perception in smokers with (n = 67) and without schizophrenia (n = 100). A backward stepwise logistic regression was conducted using variables associated at the bivariate level to determine multivariate predictors. Results Overall, 62.5% of smokers without schizophrenia and 40.3% of smokers with schizophrenia completely recognize the health risks of smoking (p ≤ .01). Multivariate predictors for smokers without schizophrenia included: sex (Exp (B) = .3; p < .05), Smoking Consequences Questionnaire state enhancement (Exp (B) = .69; p < .01), and craving relief (Exp (B) = 1.8; p < .01). Among smokers with schizophrenia, predictors were education (Exp (B) = .7; p < .05), nicotine dependence (Exp (B) = .5; p < .01), motivation to quit (Exp (B) = 1.8; p < .01), and Smoking Consequences Questionnaire craving relief (Exp (B) = 1.8; p < .01). Conclusions There was overlap and differences between predictors in smokers with and without schizophrenia. Commonly used techniques for education on the health consequences of cigarettes may work in smokers with schizophrenia, but intervention efforts specifically tailored to smokers with schizophrenia might be more efficacious.

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Section: Discussionmentioning

confidence: 99%

Predictors of the Perception of Smoking Health Risks in Smokers With or Without Schizophrenia

Kowalczyk

Wehring

Burton

et al. 2016

Journal of Dual Diagnosis

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“…It is imperative that there is rigorous empirical research on the effectiveness of stage-matched smoking cessation intervention. Our previous studies in outpatient clinics have revealed that patients are too impatient to undergo long-term or time-consuming intervention26. Cancer patients in our trial were reluctant to participate for fear that their medical consultation or procedures may be missed or delayed.…”

mentioning

confidence: 90%

Brief intervention to promote smoking cessation and improve glycemic control in smokers with type 2 diabetes: a randomized controlled trial

Wang

Lam

Cheung

et al. 2017

Sci Rep

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The aim of the study was to examine the effects of a brief stage-matched smoking cessation intervention group compared with a control group (with usual care) in type 2 diabetes mellitus patients who smoked by randomized controlled trial. There were 557 patients, randomized either into the intervention group (n = 283) who received brief (20- minute) individualized face-to-face counseling by trained nurses and a diabetes mellitus-specific leaflet, or a control group (n = 274) who received standard care. Patient follow-ups were at 1 week, 1 month, 3 months, 6 months, and 12 months via telephone, and assessment of smoking status from 2012 to 2014. Patients smoked an average of 14 cigarettes per day for more than 37 years, and more than 70% were in the precontemplation stage of quitting. The primary outcome showed that both the intervention and control groups had similar 7-day point-prevalence smoking abstinence (9.2% vs. 13.9%; p = 0.08). The secondary outcome showed that HbA1c levels with 7.95% [63 mmol/mol] vs. 8.05% [64 mmol/mol], p = 0.49 at 12 months, respectively. There was no evidence for effectiveness in promoting the brief stage-matched smoking cessation or improving glycemic control in smokers with type 2 diabetes mellitus, particularly those in the pre-contemplation stage.

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“…The US Surgeon General concluded that a causal relationship exists between continued tobacco use among cancer patients and poor clinical outcomes, including cancer-specific mortality, an increased risk of disease recurrence, and decreased response to cancer treatment [ 1 ]. Despite these risks, upwards of 50% of those who were smokers when diagnosed continue to smoke or relapse soon after receiving their diagnosis [ 2 , 3 ]. Identifying effective smoking cessation interventions for cancer patients is therefore a priority [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Cancer Patients Enrolled in a Smoking Cessation Clinical Trial: Characteristics and Correlates of Smoking Rate and Nicotine Dependence

Miele

Thompson

Jao

et al. 2018

Journal of Addiction

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Introduction A substantial proportion of cancer patients continue to smoke after their diagnosis but few studies have evaluated correlates of nicotine dependence and smoking rate in this population, which could help guide smoking cessation interventions. Aim This study evaluated correlates of smoking rate and nicotine dependence among 207 cancer patients. Methods A cross-sectional analysis using multiple linear regression evaluated disease, demographic, affective, and tobacco-seeking correlates of smoking rate and nicotine dependence. Smoking rate was assessed using a timeline follow-back method. The Fagerström Test for Nicotine Dependence measured levels of nicotine dependence. Results A multiple linear regression predicting nicotine dependence showed an association with smoking to alleviate a sense of addiction from the Reasons for Smoking scale and tobacco-seeking behavior from the concurrent choice task (p < .05), but not with affect measured by the HADS and PANAS (p > .05). Multiple linear regression predicting prequit showed an association with smoking to alleviate addiction (p < .05). ANOVA showed that Caucasian participants reported greater rates of smoking compared to other races. Conclusions The results suggest that behavioral smoking cessation interventions that focus on helping patients to manage tobacco-seeking behavior, rather than mood management interventions, could help cancer patients quit smoking.

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Helping cancer patients quit smoking by increasing their risk perception: a study protocol of a cluster randomized controlled trial

Cited by 7 publications

References 28 publications

Predictors of the Perception of Smoking Health Risks in Smokers With or Without Schizophrenia

Predictors of the Perception of Smoking Health Risks in Smokers With or Without Schizophrenia

Brief intervention to promote smoking cessation and improve glycemic control in smokers with type 2 diabetes: a randomized controlled trial

Cancer Patients Enrolled in a Smoking Cessation Clinical Trial: Characteristics and Correlates of Smoking Rate and Nicotine Dependence

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