Expectancies for smoking cessation among drug-involved smokers: Implications for clinical practice

Hendricks, Peter S.; Peters, Erica N.; Delucchi, Kevin; Hall, Sharon M.

doi:10.1016/j.jsat.2013.10.011

Cited by 11 publications

(10 citation statements)

References 42 publications

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“…Endorsement of weight-control expectancies also consistently predicted smoking quantity. This is consistent with prior findings that greater smoking expectancies were correlated with perceived barriers to quitting (Asher et al, 2003) and lower motivation to quit (Hendricks, Peters, Thorne, Delucchi, & Hall, 2014) among substance-using smokers. This finding on weight-control expectancies was also a notable result in our all-male sample, given that studies on smoking-related weight concerns and applicable interventions have often focused on female smokers (Fulkerson & French, 2003; Sallit, Ciccazzo, & Dixon, 2009).…”

Section: Discussionsupporting

confidence: 92%

Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial

Worley

Isgro

Heffner

et al. 2018

Addictive Behaviors

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Smokers with AD can achieve large reductions in smoking quantity during treatment, and factors that predict smoking outcomes in the general population also predict greater smoking reductions in AD smokers. Treatment providers can use severity of nicotine dependence and AD, motivation to quit, smoking-related cognitions, and severity of depression to guide treatment and improve outcomes among AD smokers.

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Section: Discussionsupporting

confidence: 92%

Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial

Worley

Isgro

Heffner

et al. 2018

Addictive Behaviors

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“…A study conducted in Iran (18) reported the prevalence of smoking in drivers 25%. Thus, it seems that self-report by drivers cannot be considered a valid and reliable method.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, measurement according to self-report will lead to low estimates. Given the relationship between smoking, driving, and accidents (10, 11), and the effect of smoking on individual's tendency to use opiates that may deter smoking quit attempts (16-18), it seems that smoking not only does not make drivers more alert, but also has direct and indirect effects on their health, and affects the rates of accidents and accident-related mortality. The present study results agree with those of the study in South Khorasan, Iran (19) in terms of prevalence of smoking, which may be due to cultural similarities of drivers, or measuring technique, self-report.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Addiction and Smoking and Their Relationship With Blood Parameters Among Drivers in Zahedan

Ansari‐Moghaddam

Ansari

Mohammadi

et al. 2016

Int J High Risk Behav Addict

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BackgroundAlthough smoking and drug use are the major causes of accidents and death of drivers, few studies have been conducted on the prevalence of smoking and its associated factors in this occupational group.ObjectivesThe current study aimed to investigate the prevalence of smoking and its relationship with blood parameters among drivers in Zahedan city, Iran.Patients and MethodsIn this study, 1836 inner and intercity drivers were investigated in 2013 in terms of smoking and drug use and blood parameters. Data were obtained through in-depth interviews and necessary examinations and tests, and were analyzed by Stata.12 software using Chi-square, independent t-test, and multiple regression analysis at significance level of 0.05.ResultsGenerally, four drivers were addicted to drugs and smoked as well. Two-hundred and eighty eight drivers (15.8%) reported daily smoking. Variables of age, education, and type of vehicle showed a significant relationship with smoking. No significant difference was found in blood parameters between the smokers and non-smokers.ConclusionsDespite relatively high prevalence of smoking than drug use in Zahedan drivers, there are few reports of these behaviors. Laboratory tests cannot suitably measure substance use due to their interference with other substances. Considering adverse effects of smoking on health and driving, it is necessary to train drivers to reduce or stop smoking during driving.

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“…There is also evidence that persons who misuse alcohol and other substances may be more nicotine dependent [55], less motivated to quit smoking [56] and less likely to abstain from smoking [50] (fig. 2).…”

Section: Co-occurring Alcohol and Substance Use Disordersmentioning

confidence: 99%

Patterns and Predictors of Smoking Cessation

Ditre¹,

Zale

Brandon

2015

The Tobacco Epidemic

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Tobacco use continues to be the leading preventable cause of death worldwide. Despite reduced rates of smoking among countries with effective tobacco control programs, the total number of smokers has actually increased over the past 30 years. International smoking trends have been influenced by global population growth, tobacco industry marketing in poorer and underdeveloped nations, limited awareness of smoking-related health risks and lack of access to frontline smoking interventions. There is also reason to believe that some smokers with certain characteristics or co-occurring conditions may have greater difficulty quitting. Factors that have been associated with poorer cessation outcomes include older age, lower socioeconomic status, exposure to other smokers in the home, greater tobacco dependence and more severe nicotine withdrawal symptoms during smoking abstinence, lower motivation and selfefficacy for quitting, greater negative affect, and the presence of comorbid depression, anxiety and co-occurring substance use disorders. Collectively, these data suggest that cessation rates may be enhanced by increasing the worldwide implementation of tobacco education and control programs, and by targeting recalcitrant smokers who have tried to quit without success. © 2015 S. Karger AG, BaselTobacco use continues to be the leading global cause of preventable death, with greater than 5 million annual deaths attributable to tobacco-related illnesses [1]. The World Health Organization has further estimated that if current trends continue, by 2030 tobacco will be responsible for 8 million deaths each year, with the vast majority occurring among persons living in low-to middle-income countries. Thus, it is imperative to examine patterns and predictors of smoking cessation, as these data may inform emerging tobacco control policies and the development of novel treatments. To this end, we first discuss international trends in smoking cessation, with a focus on how observed reductions in the prevalence of smoking among countries with effective tobacco control programs have been offset by an escalating tobacco epidemic in the developing world. We then examine factors that have consistently been shown to predict abstinence and relapse to smoking, including sociodemographic characteristics, household smoking behaviors, motivation and self-efficacy for quitting, nicotine/ tobacco dependence and withdrawal severity, and co-occurring/individual difference factors that may make quitting more difficult for some subpopulations of tobacco smokers. International Trends in Tobacco Smoking and CessationTobacco smoking statistics are often reported in terms of the percentage of persons in a given population who are classified as smokers (see also chapter 2). However, given that factors such as population growth can influence the interpretability and comparability of percentages over time, inferences regarding overall public health impact should also take into account the total number of smokers within and across populations. For example,...

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Expectancies for smoking cessation among drug-involved smokers: Implications for clinical practice

Cited by 11 publications

References 42 publications

Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial

Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial

Prevalence of Addiction and Smoking and Their Relationship With Blood Parameters Among Drivers in Zahedan

Patterns and Predictors of Smoking Cessation

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