Network analysis reveals the associations of past quit experiences on current smoking behavior and motivation to quit

Dutcher, Christina D.; Papini, Santiago; Gebhardt, Catherine S.; Smits, Jasper A.J.

doi:10.1016/j.addbeh.2020.106689

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…The participants' intention to quit and the number of attempts increased during the pandemic, which may reflect concern regarding COVID-19 infection 23 . Dutcher et al 24 reported a positive correlation between the number of SC attempts and the current motivation to quit smoking (r=0.17; 95% CI: 0.14-0.20). Nan et al 25 investigated the intention to quit smoking among Chinese participants aged ≥15 years in 2018 and reported that 17.96% of CSS had tried to quit smoking in the past 12 months, and 6.63% of CSs planned to quit within one month.…”

Section: Planned Quit Date As a Predictor Of Successful Smoking Cessa...mentioning

confidence: 99%

Comparison of the baseline characteristics and influencing factors of successful smoking cessation before and during the coronavirus disease pandemic

Zhu¹,

*²,

Qiu³

et al. 2023

Tob. Induc. Dis.

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INTRODUCTION Travel and living environment restrictions, which may have positive or negative effects on smoking-related behaviors, were implemented to limit the COVID-19 pandemic. This study aimed to compare the baseline clinical characteristics and smoking cessation (SC) rate at 3 months of patients in an SC clinic in Hunan Province, China before and during the COVID-19 pandemic and identify influencing factors of successful SC. METHODS Healthy patients at the SC clinic aged ≥18 years before the COVID-19 pandemic and during the COVID-19 pandemic were divided into groups A and B, respectively. The two groups' demographic data and smoking characteristics were compared, and SC interventions were applied by the same medical staff team through telephone follow-up and counselling during the SC procedure. RESULTS Groups A and B included 306 and 212 patients, respectively, with no significant differences in demographic data. The SC rates of group A (pre COVID-19) and group B (during the COVID-19 pandemic) at 3 months were 23.5% and 30.7%, respectively, after the first SC visit. Those who chose to quit immediately or within 7 days were more successful than those who did not choose a quit date (p=0.002, p=0.000). Patients who learned about the SC clinic via network resources and other methods were more likely to succeed than those who learned about the clinic from their doctor or hospital publications (p=0.064, p=0.050). CONCLUSIONS Planning to quit smoking immediately or within 7 days of visiting the SC clinic and learning about the SC clinic via the network media or other methods improved the likelihood of successful SC. SC clinics and the harm of tobacco should be promoted via network media. During consultation, the smokers should be encouraged to quit smoking immediately and establish an SC plan, which would help them to quit smoking.

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Section: Planned Quit Date As a Predictor Of Successful Smoking Cessa...mentioning

confidence: 99%

Comparison of the baseline characteristics and influencing factors of successful smoking cessation before and during the coronavirus disease pandemic

Zhu¹,

*²,

Qiu³

et al. 2023

Tob. Induc. Dis.

View full text Add to dashboard Cite

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A Network Analysis of Cigarette Craving

Aslan

Sala

Gueorguieva

et al. 2023

Nicotine and Tobacco Research

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Background Craving is considered a central process to addictive behavior including cigarette smoking, although the clinical utility of craving relies on how it is defined and measured. Network analysis enables examining the network structure of craving symptoms, to identify the most central symptoms of cigarette craving, to improve our understanding of craving and its measurement. Methods This study used network analysis to identify the central symptoms of self-reported cigarette craving as measured by the Craving Experiences Questionnaire, which assesses both craving strength and craving frequency. Data were obtained from baseline of a randomized controlled trial of mindfulness training for smoking cessation. Results The most central symptoms in an overall cigarette craving network were the frequency of imagining its smell, imagining its taste, and intrusive thoughts. The most central symptoms of both craving frequency and craving strength subnetworks were imagining its taste, the urge to have it, and intrusive thoughts. Conclusions The most central craving symptoms reported by individuals in treatment for cigarette smoking were from the frequency domain, demonstrating the value of assessing craving frequency along with craving strength. Central craving symptoms included multisensory imagery (taste, smell), intrusive thoughts, and urge, providing additional evidence that these symptoms may be important to consider in craving measurement and intervention. Findings provide insight into the symptoms that are central to craving, contributing to a better understanding of cigarette craving, and suggest potential targets for clinical interventions. Implications This study used network analysis to identify central symptoms of cigarette craving. Both craving frequency and strength were assessed. The most central symptoms of cigarette craving were related to craving frequency. Central symptoms included multisensory imagery, intrusive thoughts, and urge. Central symptoms might be targeted by smoking cessation treatment.

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Network analysis reveals the associations of past quit experiences on current smoking behavior and motivation to quit

Cited by 2 publications

References 33 publications

Comparison of the baseline characteristics and influencing factors of successful smoking cessation before and during the coronavirus disease pandemic

Comparison of the baseline characteristics and influencing factors of successful smoking cessation before and during the coronavirus disease pandemic

A Network Analysis of Cigarette Craving

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