Background Among early adolescents in the United States (U.S.), the prevalence of cigarette smoking is at its lowest level in recent decades. Nonetheless, given the risks of smoking in early development, it remains critically important to study both risk factors for smoking and risks from smoking. This longitudinal study with U.S. early adolescents examines smoking initiation and tests a model of reciprocal prediction between ever smoking and the personality trait of urgency (i.e., mood-based impulsivity), a trait that increases risk for multiple forms of dysfunction. Methods Participants (n=1906; 90% 10–11 years old, 50% female, 39% racial minorities at baseline) completed questionnaires 1–2 times per year starting in 5th grade and ending in 9th grade. Structural equation modeling allowed tests of bidirectional relationships between ever smoking and urgency controlling for pubertal status and negative affect at each wave. Results Incidence of ever smoking increased from 5% to 27% over time, with current smoking around 5% at the last wave. Urgency at each wave predicted ever smoking at the next wave above and beyond covariates and prior smoking (all p < .01). Likewise, with one exception, ever smoking predicted an increase in urgency at the subsequent wave above and beyond covariates and prior urgency (all p < .05). Conclusion Results show that risk for smoking increases with higher levels of urgency and urgency increases secondary to engagement in smoking. Future work should therefore explore urgency as a point of prevention for smoking and smoking cessation as a means to mitigate mood-based impulsivity.
Objective The prevalence of smoking among cervical cancer survivors typically exceeds what is found among women in the general population and other cancer survivors. Yet, there is a dearth of literature on risk and protective factors related to smoking among cervical cancer survivors, especially when it comes to identification of variables that are amendable to intervention. To help fill this gap in the literature, this qualitative study examines the nature of smoking‐related causal attributions and risk perceptions in cervical cancer survivors who smoked at cancer diagnosis. Methods Participants are 21 female cervical cancer survivors (M=45.7, SD=8.4 years old), all diagnosed in the past five years. Nearly three‐quarters of participants reported smoking in the past month. Results: Smoking was not uniformly recognized as a cause of cervical cancer (whether in general or participants' own cancer); the link between smoking and lung, head‐neck, and other cancers was more readily accepted. Despite generally weak endorsements of causal attributions, many participants reported smoking significantly increases risk for poor clinical (e.g., recurrence) and quality of life (e.g., pain) outcomes after cervical cancer diagnosis. Conclusions Findings suggest cervical cancer survivors may not fully understand or appreciate the role of smoking in cervical cancer risk whereas their beliefs about the role of smoking in cervical cancer prognosis are more well‐formed. This study highlights the potential role of causal attributions and risk perceptions in understanding and addressing the smoking‐related experience of cervical cancer survivors.
Objective: Cervical cancer survivors (CCS) tend to smoke cigarettes at rates much higher than other cancer survivors and women in the general population. However, few studies take a deep dive into the smoking behavior of cervical cancer survivors and none focus on the barriers they experience related to smoking cessation. This study aimed to describe CCS’ tobacco use characteristics, quit attempts, and barriers to quit success. Method: In a concurrent mixed-method design, 50 CCS (94% White nonHispanic) who were diagnosed in the past 5 years and were current smokers at diagnosis provided data via standardized questionnaire and semi-structured interview. Results: More than three-quarters of participants were current smokers at the time of study participation, 25.6% of whom also reported noncigarette tobacco use (e.g., electronic cigarette, cigar, snus). Seventy percent of participants reported making at least one 24 hr quit attempt postdiagnosis, with 61.5% of current smokers preferring to quit without professional advice or counseling and 51.3% preferring to quit without medication assistance. Four themes emerged regarding barriers to smoking cessation: motivation and readiness; confidence and uncertainty; triggers; and social and environmental factors. Conclusions: The rate of smoking in CCS is remarkably high, which may partly be explained by negative attitudes toward and low use of evidence-based treatment as well as multi-level barriers to smoking cessation.
Theoretically, cancer diagnosis has potential to spur health behavior changes in physical activity, diet, substance use, medication adherence and the like. The Teachable Moment heuristic is a parsimonious, transtheoretical framework for understanding the conditions under which behavior change might occur, with constructs that include affective, cognitive, and social factors. Application of the Teachable Moment to smoking cessation after cancer diagnosis might aid selection of predictors in observational studies and inform how to optimally design interventions to promote quit attempts and sustain abstinence, as many smoking cessation interventions for cancer survivors do not yield positive outcomes. This scoping review of 47 studies that span nearly 20 years of literature examines measurement of the Teachable Moment constructs and what empirical support they have in explaining cancer survivors’ smoking behavior. From this review, it appears the construct of affective response is more widely explored than risk perceptions, social role, and self-concept. Strong, negative affective responses (e.g., anxiety, general distress) may be a powerful contributor to continued smoking after cancer diagnosis. Risk perceptions may also play a role in smoking behavior, such that never and former smokers espouse stronger perceptions of smoking-related risks than current smokers. Finally, due to a paucity of studies, the role of cancer survivors’ self-concept (e.g., identity as a “cancer survivor”) and changes in their social role (e.g., employee, athlete) are unclear contributors to their smoking behavior. In summary, the Teachable Moment holds promise in its application to smoking cessation after cancer diagnosis, though more direct research is needed.
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