scholarly journals Nicotine dependence and mental disorders among adults in the USA: evaluating the role of the mode of administration

2008 ◽  
Vol 38 (9) ◽  
pp. 1277-1286 ◽  
Author(s):  
R. D. Goodwin ◽  
M. J. Zvolensky ◽  
K. M. Keyes
Keyword(s):  
Mental Disorders ◽  
Panic Disorder ◽  
Cigarette Smoking ◽  
Nicotine Dependence ◽  
Specific Phobia ◽  
Panic Attacks ◽  
Cigarette Use ◽  
Epidemiologic Survey ◽  
Nicotine Administration ◽  
The Usa

BackgroundTo investigate the association between nicotine dependence (ND), by cigarette smoking and use of smokeless tobacco (UST), and mental disorders.MethodFace-to-face surveys (n=43 093) were conducted in the 2001–2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Nicotine use, ND, and mental disorders were assessed using DSM-IV criteria.ResultsUST-ND was associated with a significantly increased likelihood of any anxiety disorder, specific phobia, alcohol abuse and dependence. Consistent with previous findings, cigarette smoking-ND was associated with an increased likelihood of all mental disorders examined. Among those without ND, cigarette smoking was specifically associated with panic attacks and panic disorder; non-dependent UST was not associated with mental disorders.ConclusionsOur findings suggest that the association between ND and mental disorders is relatively specific to the mode of nicotine administration. Among those who are nicotine dependent, cigarette use is associated with most major psychiatric disorders, whereas UST is associated with dysthymia and specific phobia. Among those who use tobacco but are not nicotine dependent, cigarette use is associated with dysthymia and panic disorder; UST is not associated with any major mood or anxiety disorders. The link between mental disorders and nicotine is complex, and is associated primarily with dependence, and not with non-dependent use.

Cigarette smoking among those with mental disorders in the US population: 2012–2013 update

2018 ◽  
Vol 29 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Philip H Smith ◽  
Mohammad Chhipa ◽  
Josef Bystrik ◽  
Jordan Roy ◽  
Renee D Goodwin ◽  
...  
Keyword(s):  
Substance Use ◽  
Mental Disorders ◽  
Cigarette Smoking ◽  
Substance Use Disorders ◽  
Smoking Prevalence ◽  
Common Mental Disorders ◽  
Epidemiologic Survey ◽  
Current Cigarette ◽  
The Usa ◽  
Nationally Representative

BackgroundRecent nationally representative estimates from the USA suggest the prevalence of cigarette smoking continues to be much higher among those with mental disorders compared with those without; however, prevalence estimates for current cigarette use by specific diagnoses are outdated.MethodsWe analysed data from the National Epidemiologic Survey on Alcohol and Related Conditions III (2012–2013). We estimated the prevalence of lifetime and past-year smoking, lifetime and past-year daily smoking, and lifetime smoking cessation among ever smokers (ie, the quit ratio) among those with common mood, anxiety and substance use disorders in comparison to those without these disorders.ResultsAcross disorders, smoking prevalence was higher and the quit ratio was lower among those with common mental disorders compared with those without, with twofold to sixfold relativedifferences in the odds of the magnitude.ConclusionsDespite tobacco control advances since 2000 and resulting declines in smoking prevalence, smoking remains extraordinarily more common among those with mood, anxiety and substance use disorders, with highest rates among those with bipolar and substance use disorders.

Association of device type, flavours and vaping behaviour with tobacco product transitions among adult electronic cigarette users in the USA

2021 ◽  
pp. tobaccocontrol-2020-055999
Author(s):  
Alyssa F Harlow ◽  
Jessica L Fetterman ◽  
Craig S Ross ◽  
Rose Marie Robertson ◽  
Aruni Bhatnagar ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Multinomial Logistic Regression ◽  
Sociodemographic Factors ◽  
Tobacco Product ◽  
Electronic Cigarette ◽  
Health Study ◽  
Cigarette Use ◽  
Use Patterns ◽  
The Usa ◽  
Former Smokers

BackgroundFew studies assess whether electronic cigarette (e-cigarette) device characteristics or flavours impact longitudinal patterns of cigarette and e-cigarette use.DesignWe examined data from waves 2–4 of the Population Assessment of Tobacco and Health Study (2014–2018). Among adult (≥18 years) current e-cigarette users at wave 2 who were current smokers (dual users; n=1759) and former smokers (exclusive e-cigarette users; n=470), we classified participants into four use patterns at wave 3 (~12 months later) and wave 4 (~24 months later): (1) dual use of e-cigarettes and cigarettes; (2) exclusive cigarette smoking; (3) exclusive e-cigarette use; (4) non-use of both products. We used multinomial logistic regression to assess correlates of changing use patterns at 24 months, relative to no change, adjusting for sociodemographic factors.ResultsAt 24 months, 26.5% of baseline exclusive e-cigarette users, and 9% of baseline dual users, abstained from both vaping and smoking. Participants who vaped non-tobacco flavours (vs tobacco flavours), and used refillable tank or modifiable devices (vs disposable, cartridges and other devices) were less likely to transition to non-use of both products and to exclusive cigarette smoking. Baseline daily vaping (vs non-daily) was positively associated with exclusive e-cigarette use at 24 months for baseline daily cigarette smokers, but negatively associated with exclusive e-cigarette use and non-use of both products at 24 months for baseline non-daily smokers.ConclusionsNon-tobacco flavours, daily vaping and modifiable e-cigarette devices may help some smokers abstain from cigarette smoking via transitioning to exclusive e-cigarette use, but are also associated with ongoing exclusive e-cigarette use.

scholarly journals Advancing the Network Theory of Mental Disorders: A Computational Model of Panic Disorder

2019 ◽  
Author(s):  
Donald Robinaugh ◽  
Jonas M B Haslbeck ◽  
Lourens Waldorp ◽  
Jolanda Jacqueline Kossakowski ◽  
Eiko I Fried ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Panic Disorder ◽  
Complex Systems ◽  
Computational Model ◽  
Network Theory ◽  
Research Agenda ◽  
Behavioral Therapy ◽  
Psychological Theory ◽  
Panic Attacks ◽  
Core Components

The network theory of psychopathology posits that mental disorders are complex systems of mutually reinforcing symptoms. This overarching framework has proven highly generative but does not specify precisely how any specific mental disorder operates as such a system. We address this gap in the literature by developing a network theory of Panic Disorder and formalizing that theory as a computational model. We first review prior psychological theory and research on Panic Disorder in order to identify its core components as well as the plausible causal relations among those components. We then construct and evaluate a computational model of Panic Disorder as a non-linear dynamical system. We show that this model can explain a great deal, including individual differences in the propensity to experience panic attacks, key phenomenological characteristics of those attacks, the onset of Panic Disorder, and the efficacy of cognitive behavioral therapy. We also show that the model identifies significant gaps in our understanding of Panic Disorder and propose a theory-driven research agenda for Panic Disorder that follows from our evaluation of the model. We conclude by discussing the implications of the model for how we understand and investigate mental disorders as complex systems.

Association between e-cigarette use initiated after cigarette smoking and smoking abstinence: a cross-sectional study among adolescent established smokers in the USA

2021 ◽  
pp. tobaccocontrol-2020-055943
Author(s):  
Franziska S Saller ◽  
Israel T Agaku ◽  
Filippos T Filippidis
Keyword(s):  
High School Students ◽  
Cigarette Smoking ◽  
Electronic Cigarettes ◽  
Smoking Initiation ◽  
Sensitivity Analyses ◽  
Inverse Association ◽  
Cigarette Use ◽  
School Students ◽  
Cross Sectional ◽  
The Usa

BackgroundRecent years have seen a rapid increase in the popularity of electronic cigarettes (e-cigarettes) among adolescents in the USA. Evidence on their role in the continuation of or abstinence from cigarette smoking among young smokers remains scarce.ObjectiveTo examine the relationship between e-cigarette use initiated after cigarette smoking and abstinence from cigarette smoking among US adolescent established smokers.MethodsThe data were drawn from the 2015–2018 National Youth Tobacco Survey—a nationally representative survey of US middle and high school students. Multivariable logistic regression was used to assess the association between ever e-cigarette use and past 30-day abstinence from cigarette smoking. The analytical sample comprised ever established cigarette smokers with or without a history of e-cigarette use after smoking initiation.ResultsNeither experimental (adjusted OR 0.67, 95% CI 0.39–1.14) nor prior established (adjusted OR 1.56, 95% CI 0.96–2.56) nor current established (adjusted OR 0.65, 95% CI 0.41–1.03) e-cigarette use was statistically significantly associated with subsequent abstinence from cigarette smoking among adolescent ever established smokers. These findings were largely consistent across sensitivity analyses using alternative key definitions, although experimental and current established e-cigarette use was significantly negatively associated with past 6-month abstinence.ConclusionsWe found no evidence that e-cigarette use among US adolescents already smoking cigarettes is associated with subsequent abstinence from cigarette smoking; there was some evidence of an inverse association among experimental and current established e-cigarette users. These findings could inform future regulatory and public health efforts regarding youth e-cigarette use and the reduction of youth cigarette smoking in the USA.

Cigarette Smoking and Nicotine Dependence in Adolescence

2016 ◽  
pp. 112-130
Author(s):  
Mark G. Myers ◽  
Laura MacPherson
Keyword(s):  
Smoking Cessation ◽  
Cigarette Smoking ◽  
Nicotine Dependence ◽  
Current Knowledge ◽  
Electronic Cigarettes ◽  
Adolescent Smoking ◽  
Cigarette Use ◽  
Current Cigarette Smoking ◽  
Current Cigarette ◽  
Current Knowledge Base

Despite declines in adolescent cigarette smoking prevalence, rates remain high, with approximately 11% of high school seniors reporting current cigarette smoking. Moreover, use of other tobacco products has soared, with prevalence of electronic cigarettes and little cigars exceeding that of cigarettes. The present chapter reviews patterns of adolescent cigarette use, other tobacco use, adolescent nicotine dependence, factors associated with the etiology of cigarette smoking, and smoking cessation. Despite decades of research on adolescent smoking cessation, the development and progression of nicotine dependence are just beginning to be understood. Similarly, little is known regarding adolescent smoking cessation. Significant progress has been made in addressing and preventing adolescent cigarette use. However, critical gaps exist in the current knowledge base that must be addressed in order to improve efforts at halting the progression of adolescent nicotine dependence and enhancing interventions for smoking cessation.

Cigarette Smoking and Panic Psychopathology

2005 ◽  
Vol 14 (6) ◽  
pp. 301-305 ◽  
Author(s):  
Michael J. Zvolensky ◽  
Amit Bernstein
Keyword(s):  
Risk Factor ◽  
Panic Disorder ◽  
Cigarette Smoking ◽  
Empirical Evidence ◽  
Smoking Behavior ◽  
Panic Attacks ◽  
Integrative Model ◽  
Future Directions ◽  
Specific Vulnerability

The present paper summarizes empirical evidence suggesting that smoking and panic problems often co-occur; that smoking is a risk factor for, and may serve to maintain, panic attacks and panic disorder; and that premorbid panic-specific vulnerability variables and full-blown panic problems are related to coping-oriented smoking motives and perhaps to the maintenance of smoking behavior. An integrative model is offered to stimulate further work on this topic, followed by future directions for research.

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