The Fagerström test for nicotine dependence: a comparison of standard scoring and latent class analysis approaches

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

BACKGROUND

Leveraging free smartphone apps can help expand the availability and use of evidence-based smoking cessation interventions. However, there is a need for additional research investigating how the use of different features within such apps impacts their effectiveness.

OBJECTIVE

We used observational data collected from an experiment of a publicly available smoking cessation app to develop supervised machine learning (SML) algorithms intended to distinguish the app features that promote successful smoking cessation. We then assessed the extent to which patterns of app feature use accounted for variance in cessation that could not be explained by other known predictors of cessation (eg, tobacco use behaviors).

METHODS

Data came from an experiment (ClinicalTrials.gov NCT04623736) testing the impacts of incentivizing ecological momentary assessments within the National Cancer Institute's quitSTART app. Participants' (N=133) app activity, including every action they took within the app and its corresponding time stamp, was recorded. Demographic and baseline tobacco use characteristics were measured at the start of the experiment, and short-term smoking cessation (7-day point prevalence abstinence) was measured at 4 weeks after baseline. Logistic regression SML modeling was used to estimate participants' probability of cessation from 28 variables reflecting participants' use of different app features, assigned experimental conditions, and phone type (iPhone [Apple Inc] or Android [Google]). The SML model was first fit in a training set (n=100) and then its accuracy was assessed in a held-aside test set (n=33). Within the test set, a likelihood ratio test (n=30) assessed whether adding individuals' SML-predicted probabilities of cessation to a logistic regression model that included demographic and tobacco use (eg, polyuse) variables explained additional variance in 4-week cessation.

RESULTS

The SML model's sensitivity (0.67) and specificity (0.67) in the held-aside test set indicated that individuals' patterns of using different app features predicted cessation with reasonable accuracy. The likelihood ratio test showed that the logistic regression, which included the SML model-predicted probabilities, was statistically equivalent to the model that only included the demographic and tobacco use variables (P=.16).

CONCLUSIONS

Harnessing user data through SML could help determine the features of smoking cessation apps that are most useful. This methodological approach could be applied in future research focusing on smoking cessation app features to inform the development and improvement of smoking cessation apps.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04623736; https://clinicaltrials.gov/study/NCT04623736.

Cigarette smoking and risk of suicide in bipolar disorder: a systematic review

Objective

Bipolar disorder (BD) is a highly prevalent, chronic and recurrent mental illness. The smoking rates in patients with BD are much higher than those of the general population, and BD is associated with an increased risk of suicide. An association between smoking and suicidal behavior has been found in the general population, this systematic review examines whether there is evidence of an association between smoking and suicide behavior in patients with BD.

Method

A database search was carried out in Medline, Embase, The Cochrane Library, Scopus, and Web of Science, updated until December 31st, 2021, according to the 2020 PRISMA guidelines. We identified prospective and retrospective studies that included patients diagnosed with BD types I, II, and not otherwise specified, and in which smoking and suicidal behavior were correlated. Articles that focused exclusively on other mental disorders were excluded. The Ottawa-Newcastle scale was used to assess the methodological quality of the included articles.

Results

Fifteen articles (n = 7,395) met all the inclusion criteria. In nine of these articles, the authors found an association between smoking and suicidal behavior in BD, while in the remaining six articles, this association was not found. A great deal of variability was observed between articles, particularly in the measurement of suicidal behavior and tobacco consumption. The risk of bias, as assessed by the NOS, was high for most of the included articles, except for two papers, whose risk was low.

Conclusion

It was not possible to establish a clear relationship between tobacco use and the risk of suicide in BD patients due to the heterogeneity of the articles included in this systematic review, which had different sample sizes and methodological issues. However, both conditions are highly prevalent and have a negative impact on the prognosis of BD. Therefore, a systematic approach is needed, based on accurate measurement of a patient's smoking habits and their risk of suicidal behavior, in order to establish an appropriate therapeutic plan.

Additional information

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors and was registered on PROSPERO with the CRD42022301570 on January 21th 2022.

The effect of a real-world intervention for smoking cessation in Adults with and without comorbid psychiatric and substance use disorders: A one-year follow-up study

This study evaluated short-term abstinence and prolonged abstinence following a real-world intervention for smoking cessation in a sample of 1,213 adults with nicotine dependence only (ND), nicotine dependence and past history of another substance use disorder (ND-SUD), nicotine dependence and a non-substance use mental health disorder (ND-MD), or nicotine dependence and comorbid substance use disorder and mental health disorder (ND-SUMD). Participants received six sessions of group Cognitive Behavioral Therapy (CBT) and pharmacotherapy. Abstinence was assessed following completion of treatment and at 12-month follow-up. Logistic regression and survival analyses were performed. Participants who were lost to follow-up were included as censored and baseline differences were used as covariates in multivariate analyses. Rates of short-term abstinence and prolonged abstinence were significantly different between ND and ND-SUMD (20.9% versus 36.5%; 14.9% versus 22.4%, respectively). Among participants with follow-up, 37.7% were abstinent at 12-month. Diagnostic group was not associated with abstinence at 12-month follow-up after adjusting for nicotine dependence severity, which was associated with lower likelihood of abstinence (HR=1.11;95%CI:1.03-1.19). CBT plus pharmacotherapy had a positive effect on smoking cessation among the participants in this study. Special attention should be given to adults with more severe nicotine dependence and comorbid psychiatric and substance use disorders.

Persistence of extra-medical prescription pain reliever use and alcohol involvement among United States 12-20 year olds

The peak risk of first extramedical use of prescription pain relievers (PPRs) is in mid-adolescence, often after underage drinking has begun. This research aims to investigate discrete classes of similar young people based on their newly incident extramedical use of PPR and alcohol involvement, with empirical evaluation of the underlying structure of identified subgroups and their epidemiological distributions in the United States. The U.S. National Surveys on Drug Use and Health, 2002-2013, sampled, recruited, and assessed 24,789 newly incident extramedical PPR users ages 12-20 years, with self-interviews on PPR, alcohol, and covariates. Latent classes of persistence were formed using PPR and alcohol status variables. Then, age and sex were studied as potentially important predictors of class membership. Analysis-weighted estimates and delta method variances were derived. Three classes were distinguished by extramedical PPR and alcohol use patterns: (a) nonpersistent (79%), (b) intermittent (15%), and (c) persistent (6%). There were no differences across classes by age, but being female was associated with greater odds of being in the intermittent class or persistent class compared to the nonpersistent class. Presenting clinical features of alcohol and/or opioid dependence that have become manifest at or near time of first PPR use can be indicators of persisting in extramedical use of PPR, particularly for young people who have recently started extramedical PPR use. Persistent adolescent and young adult extramedical PPR users require tailored public health prevention and intervention strategies based on their vulnerability to continue use over time. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Electronic cigarette and tobacco use in individuals entering methadone or buprenorphine treatment

BACKGROUND

Although smoking is prevalent among populations with opioid use disorder (OUD), few studies have examined electronic cigarette (EC) use in individuals seeking opioid agonist therapy (OAT). The aim of this study was to evaluate the prevalence and correlates of EC use among individuals seeking OAT.

METHODS

782 patients seeking OAT for OUD completed surveys assessing current and past EC use, reasons for use, current and past cigarette smoking, nicotine dependence, psychiatric distress, trauma, and pain. Bivariate and multivariate models evaluated correlates of daily EC use, past-30-day EC use, and current cigarette smoking.

RESULTS

6% of patients reported daily EC use, 18% reported past-30-day use, 62% reported EC use history, and 85% reported current cigarette smoking. 46% reported using ECs to quit or cut down smoking. In multivariate analyses, daily EC use was associated with higher odds of being a former smoker (OR 21; CI 1.7-273) and lower odds of ever smoking more than 100 cigarettes (OR 0.07; CI 0.01-0.32), while EC use in the past 30 days was associated with lower odds of being Caucasian (OR 0.55; CI 0.34-0.89), ever smoking more than 100 cigarettes (OR 0.13; CI 0.02-0.67), and history of chronic pain (OR 0.59; CI 0.38-0.90), and higher odds of reporting psychiatric distress (OR 1.5; CI 1.1-2.2).

CONCLUSIONS

EC use is common among people with OUD who smoke cigarettes. Those with daily use had higher odds of being former smokers than current smokers. Interventions using ECs may be effective to help reduce harms and mortality in OUD.

Do Smokers Recall Source or Quitline on Cigarette Constituent Messages?

OBJECTIVES

The Food and Drug Administration (FDA) is required under the Family Smoking Prevention and Tobacco Control Act to communicate the risks of tobacco use to the public. Little research exists about methods to communicate the constituents of tobacco in a media campaign. This research examines specific strategies to increase effectiveness of a media campaign for cigarette smoking adults about tobacco constituents by including engagement text about smoking cessation and FDA as the source of the campaign.

METHODS

In an eye tracking study of 211 current cigarette smokers, participants randomly viewed 4 cigarette constituent messages that varied engagement text for quitting (benefits of quitting and quitline number, presence, absence) and by FDA source (presence, absence). After the eye tracking session, participants were asked about recall of the national quitline number and the source of message.

RESULTS

Participants in conditions with engagement text were significantly more likely than those in the no engagement conditions to recall the national quitline number. Few participants saw or recalled the FDA source.

CONCLUSIONS

Engagement text for smoking cessation on constituent communication campaign messages significantly increases recall of the quitline, an important resource for smokers.

The latent trait of ICD-11 nicotine dependence criteria: Dimensional and categorical phenotypes

We aimed to identify phenotypes of DSM-ICD nicotine dependence among a representative sample of lifetime weekly smokers in the largest metropolitan area in South America. Data came from 1,387 lifetime weekly smokers in the São Paulo Megacity Mental Health Survey. We used exploratory factor analysis (EFA) and latent class analysis (LCA) on ICD-11 nicotine dependence proposed criteria to explore dimensionality and phenotypes profiles, followed by logistic regression models to examine the association between latent classes and socio-demographic, psychiatric and chronic medical conditions. Analyses were performed using Mplus taking into account the complex survey design features. An unidimensional model had the best EFA fit with high loadings on all criteria. Response patterns detected by LCA indicated class differences based on severity continuum: a "non-symptomatic class" (32.0%), a "low-moderate symptomatic class" (34.9%)-with high probability of the criterion "use in larger amounts", and a "high-moderate symptomatic class" (33.1%). We found an association between high-income and the intermediate class that differs from findings in high-income countries, and high likelihood of psychiatric comorbidity among the most symptomatic smokers. The best dimensional model that pulled together nicotine dependence criteria supported a single factor, in concordance with the changes proposed for ICD-11.

Latino Cigarette Smoking Patterns by Gender in a US-National Sample

BACKGROUND

Latino smokers are a rising public health concern who experience elevated tobacco-related health disparities.

PURPOSE

Additional information on Latino smoking is needed to inform screening and treatment.

ANALYSIS

Latent class analysis using smoking frequency, cigarette preferences, onset, smoking duration, cigarettes per day, and minutes to first cigarette was used to create multivariate latent smoking profiles for Latino men and women.

RESULTS

Final models found seven classes for Latinas and nine classes for Latinos. Despite a common finding in the literature that Latino smokers are more likely to be low-risk intermittent smokers, the majority of classes for both males and females described patterns of high-risk daily smoking. Gender variations in smoking classes were noted.

CONCLUSIONS

Several markers of smoking risk were identified among both male and female Latino smokers, including long durations of smoking, daily smoking, and preference for specialty cigarettes, all factors associated with long-term health consequences.

N-acetylcysteine for therapy-resistant tobacco use disorder: a pilot study

INTRODUCTION

N-Acetylcysteine (NAC) may have efficacy in treating tobacco use disorder (TUD) by reducing craving and smoking reward. This study examines whether treatment with NAC may have a clinical efficacy in the treatment of TUD.

METHODS

A 12-week double blind randomized controlled trial was conducted to compare the clinical efficacy of NAC 3 g/day versus placebo. We recruited 34 outpatients with therapy resistant TUD concurrently treated with smoking-focused group behavioral therapy. Participants had assessments of daily cigarette use (primary outcome), exhaled carbon monoxide (CO(EXH)) (secondary outcome), and quit rates as defined by CO(EXH) < 6 ppm. Depression was measured with the Hamilton Depression Rating Scale (HDRS). Data were analyzed using conventional and modified intention-to-treat endpoint analyses.

RESULTS

NAC treatment significantly reduced the daily number of cigarettes used (Δ mean ± SD = -10.9 ± 7.9 in the NAC-treated versus -3.2 ± 6.1 in the placebo group) and CO(EXH) (Δ mean ± SD = -10.4 ± 8.6 ppm in the NAC-treated versus -1.5 ± 4.5 ppm in the placebo group); 47.1% of those treated with NAC versus 21.4% of placebo-treated patients were able to quit smoking as defined by CO(EXH) < 6 ppm. NAC treatment significantly reduced the HDRS score in patients with tobacco use disorder.

CONCLUSIONS

These data show that treatment with NAC may have a clinical efficacy in TUD. NAC combined with appropriate psychotherapy appears to be an efficient treatment option for TUD.

EPA Guidance on Tobacco Dependence and Strategies for Smoking Cessation in People with Mental Illness

Tobacco dependence is the most common substance use disorder in adults with mental illness. The prevalence rates for tobacco dependence are two to four times higher in these patients than in the general population. Smoking has a strong, negative influence on the life expectancy and quality of life of mental health patients, and remains the leading preventable cause of death in this group. Despite these statistics, in some countries smokers with mental illness are disadvantaged in receiving intervention and support for their tobacco dependence, which is often overlooked or even tolerated. This statement from the European Psychiatric Association (EPA) systematically reviews the current evidence on tobacco dependence and withdrawal in patients with mental illness and their treatment. It provides seven recommendations for the core components of diagnostics and treatment in this patient group. These recommendations concern: (1) the recording process, (2) the timing of the intervention, (3) counselling specificities, (4) proposed treatments, (5) frequency of contact after stopping, (6) follow-up visits and (7) relapse prevention. They aim to help clinicians improve the care, health and well-being of patients suffering from mental illness.

Treatment adherence in a lay health adviser intervention to treat tobacco dependence

Lay health advisers (LHAs) are increasingly used to deliver tobacco dependence treatment, especially with low-socioeconomic status (SES) populations. More information is needed about treatment adherence to help interpret mixed evidence of LHA intervention effectiveness. This study examined adherence to behavioral counseling and nicotine patches in an LHA intervention with 147 Ohio Appalachian female daily smokers. Participants were randomly selected from clinics and randomized to the intervention condition of a randomized controlled trial. Overall, 75.5% of participants received all seven planned LHA visits, 29.3% used patches for >7 weeks and approximately half received high average ratings on participant responsiveness. Depressive symptoms and low nicotine dependence were associated with lower patch adherence while high poverty-to-income ratio was associated with high responsiveness. Compared with those with fewer visits, participants who received all visits were more likely to be abstinent (22.5 versus 2.8%, P=0.026) or have attempted quitting (85.0 versus 47.4%, P=0.009) at 3 months. High participant responsiveness was associated with 12-month abstinence. LHA interventions should focus on improving adherence to nicotine patches and managing depression because it is an independent risk factor for low adherence.

Adolescent nicotine dependence symptom profiles and risk for future daily smoking

Recent research on adolescent smokers suggests that there are important differences in the types of nicotine dependence (ND) symptoms that emerge and different patterns of ND symptoms. The purpose of this study was to use data from the longitudinal Social and Emotional Contexts of Adolescent Smoking Patterns Study to identify latent subgroups of adolescent experimental and nondaily smokers varying in number and types of endorsed ND symptoms. Profiles were identified using baseline level of smoking, individual patterns of ND symptoms and other ND risk factors. Discrete time survival analysis was used to examine profile differences in probability of becoming daily smokers 48 months later. Four distinct subgroups of smokers with different patterns of smoking behavior, ND symptoms, and alcohol and other substance use emerged. Heavier smoking adolescents with high symptom endorsement, particularly the need to smoke in the morning, were most likely to become daily smokers 48 months later. A subgroup of social smokers had high smoking exposure and symptom endorsement (except need to smoke in the morning), and high levels of other substance use. Despite lower rates of smoking frequency and quantity compared to the heavier smoking class, 36% of these adolescents smoked daily by 48 months, with a steeper decline in survival rates compared to other lighter smoking classes. Morning smoking symptoms and symptoms prioritizing smoking (i.e., choosing to spend money on cigarettes instead of lunch or smoking when ill or where smoking is forbidden) might quickly identify adolescent non-daily smokers with more severe dependence and higher risk for daily smoking. A focus on skills for avoiding social situations involving use of alcohol and other drugs and reducing peer smoking influences may be an important focus for reducing smoking and other substance use among social smokers.

Predicting nicotine dependence profiles among adolescent smokers: the roles of personal and social-environmental factors in a longitudinal framework

BACKGROUND

Although several studies have reported that symptoms of nicotine dependence can occur after limited exposure to smoking, the majority of research on nicotine dependence has focused on adult smokers. Insufficient knowledge exists regarding the epidemiology and aetiology of nicotine dependence among adolescent smokers. The objective of the present study is to identify the effects of theoretically driven social and individual predictors of nicotine dependence symptom profiles in a population-based sample of adolescent smokers.

METHOD

A longitudinal study among 6,783 adolescents (12 to 14 years old at baseline) was conducted. In the first and second year of secondary education, personality traits and exposure to smoking in the social environment were assessed. Two and a half years later, adolescents' smoking status and nicotine dependence symptom profiles were assessed. A total of 796 adolescents were identified as smokers and included in the analyses.

RESULTS

At follow-up, four distinct dependence symptom profiles were identified: low cravings only, high cravings and withdrawal, high cravings and behavioural dependence, and overall highly dependent. Personality traits of neuroticism and extraversion did not independently predict nicotine dependence profiles, whereas exposure to smoking in the social environment posed a risk for the initial development of nicotine dependence symptoms. However, in combination with environmental exposure to smoking, extraversion and neuroticism increased the risk of developing more severe dependence symptom profiles.

CONCLUSIONS

Nicotine dependence profiles are predicted by interactions between personal and environmental factors. These insights offer important directions for tailoring interventions to prevent the onset and escalation of nicotine dependence. Opportunities for intervention programs that target individuals with a high risk of developing more severe dependence symptom profiles are discussed.

Novel phenotype issues raised in cross-national epidemiological research on drug dependence

Stage-transition models based on the American Diagnostic and Statistical Manual (DSM) generally are applied in epidemiology and genetics research on drug dependence syndromes associated with cannabis, cocaine, and other internationally regulated drugs (IRDs). Difficulties with DSM stage-transition models have surfaced during cross-national research intended to provide a truly global perspective, such as the work of the World Mental Health Surveys Consortium. Alternative simpler dependence-related phenotypes are possible, including population-level count process models for steps early and before coalescence of clinical features into a coherent syndrome (e.g., zero-inflated Poisson [ZIP] regression). Selected findings are reviewed, based on ZIP modeling of alcohol, tobacco, and IRD count processes, with an illustration that may stimulate new research on genetic susceptibility traits. The annual National Surveys on Drug Use and Health (NSDUH) can be readily modified for this purpose, along the lines of a truly anonymous research approach that can help make NSDUH-type cross-national epidemiological surveys more useful in the context of subsequent genomewide association (GWAS) research and post-GWAS investigations with a truly global health perspective.

History of single episode and recurrent major depressive disorder among smokers in cessation treatment: Associations with depressive symptomatology and early cessation failure

OBJECTIVES: Research and theory provide initial support for the potential utility in distinguishing between recurrent and single episode MDD smokers for cessation treatment. However, no study to date has examined differences in clinical presentation at the outset of treatment among these two groups and whether these clinical profiles are indicative of early cessation failure (smoking on quit day). METHODS: In a secondary analysis of a sample of 179 smokers entering cessation treatment, we examined baseline differences in dysfunctional attitudes, maladaptive coping, self-efficacy to manage negative affect, depressive symptoms, depressed mood, and experienced pleasure from life events between smokers with a history of recurrent major depression (MDD-R; 54.7%) and single episode major depression (MDD-S). RESULTS: Results showed that MDD-R smokers reported lower self-efficacy to cope with negative affect, greater depressive symptoms, and greater depressed mood than MDD-S smokers, although no differences were found on dysfunctional attitudes, avoidance coping, and level of experienced pleasure from daily life events. A greater number of MDD-R compared to MDD-S smokers were not abstinent on their quit day, however a history of recurrent MDD did not increase risk for early cessation failure. CONCLUSIONS: The findings indicate that although depressed mood, negative affect-regulation ability, and depression severity distinguish recurrent and single episode MDD smokers at the start of cessation treatment, these differences do not necessarily portend greater risk for cessation failure in the early stages of treatment.

Características clínicas e qualidade de vida de fumantes em um centro de referência de abordagem e tratamento do tabagismo

OBJETIVO: Comparar, entre fumantes e nunca fumantes, os seguintes aspectos: qualidade de vida, IMC, hospitalizações, incapacidades, história familiar de transtorno mental, doenças relacionadas ao uso de tabaco, depressão e uso de substâncias psicoativas. MÉTODOS: Um total de 167 fumantes inscritos em um programa de cessação do tabagismo no Centro de Referência de Abordagem e Tratamento do Tabagismo da Universidade Estadual de Londrina e 272 nunca fumantes doadores de sangue foram incluídos no estudo. Foram utilizados um questionário estruturado para a coleta de dados sociodemográficos, Alcohol, Smoking and Substance Involvement Screening Test, World Health Organization Quality of Life Instrument, brief version (WHOQoL-BREF) e Fagerström Test for Nicotine Dependence, todos validados para uso no Brasil, assim como critérios diagnósticos para a pesquisa de transtornos depressivos. RESULTADOS: A média de idade para fumantes e nunca fumantes foi, respectivamente, de 45 e 44 anos. As mulheres predominaram nos dois grupos. Fumantes mais frequentemente apresentaram incapacidades laborais e domésticas, presença de fumantes em casa, hospitalizações, transtorno depressivo, uso de sedativos, história de transtorno mental na família e piores escores em todos os domínios do WHOQoL-BREF. A média de idade do início do tabagismo em fumantes com depressão ou em uso de substâncias psicoativas foi mais baixa do que os sem essas comorbidades. Fumantes apresentaram mais frequentemente diabetes, hipertensão arterial, doenças cardíacas, doenças respiratórias e úlcera péptica do que os que nunca fumaram. O IMC médio foi menor entre fumantes do que nos que nunca fumaram. CONCLUSÕES: Este estudo sugere que, no tratamento do tabagismo, deveriam ser identificados subgrupos de fumantes com características específicas: início precoce do tabagismo, doenças que sofrem agravos pelo tabaco, depressão e uso de substâncias psicoativas.

Refining the tobacco dependence phenotype using the Wisconsin Inventory of Smoking Dependence Motives

The construct of tobacco dependence is important from both scientific and public health perspectives, but it is poorly understood. The current research integrates person-centered analyses (e.g., latent profile analysis) and variable-centered analyses (e.g., exploratory factor analysis) to clarify the latent structure of nicotine dependence and to guide distillation of the phenotype. Using data from 4 samples of smokers, latent profiles were derived using the Wisconsin Inventory of Smoking Dependence Motives subscale scores. Across all 4 samples, results revealed a unique latent profile that had relative elevations on 4 subscales (Automaticity, Craving, Loss of Control, and Tolerance). Variable-centered analyses supported the uniqueness of these 4 subscales as they constituted a distinct common factor and were the strongest predictors of relapse and other dependence criteria. Conversely, the remaining 9 motives carried little unique predictive validity regarding dependence. Applications of a factor mixture model further supported the presence of a unique class of smokers in relation to a common factor underlying the 4 subscales. The results suggest that a pattern of smoking that is heavy, pervasive, automatic, and relatively unresponsive to instrumental contingencies is a necessary and sufficient condition for severe nicotine dependence.

A profile of teen smokers who volunteered to participate in school-based smoking intervention

OBJECTIVES

Although a number of population-based studies have examined the characteristics of teens who attempt to quit smoking, few have identified the characteristics of youth who participate in structured cessation interventions, particularly those with demonstrated effectiveness. The purpose of the present study is to describe the sociodemographic and smoking-related characteristics of teen smokers who participated in the American Lung Association's Not On Tobacco (N-O-T) program, spanning eight years. N-O-T is the most widely used teen smoking cessation program in the nation.

METHODS

Drawn from multiple statewide N-O-T studies, this investigation examined data from 5,892 teen smokers ages 14-19 who enrolled in N-O-T between 1998-2006. We demonstrate similarities and differences between N-O-T findings and existing data from representative samples of US teen smokers where available and relevant.

RESULTS

N-O-T teens started smoking earlier, were more likely to be poly-tobacco users, were more dependent on nicotine, had made more previous attempts to quit, and were more deeply embedded in smoking contexts than comparative samples of teen smokers. Additionally, N-O-T teens were moderately ready to quit smoking, believed important people in their lives would support their quit efforts, yet had deficits in their confidence with quitting.

CONCLUSION

This profile of N-O-T teens can guide efforts for targeted recruitment strategies to enhance intervention reach for teen smoking cessation. Findings provide guidance for marketing and recruitment efforts of intensive, school-based cessation interventions among established teen smokers, particularly those who want to quit. Study results may shed light upon who is and is not enrolling in N-O-T.

Understanding the patterns and distribution of opioid analgesic dependence symptoms using a latent empirical approach

Prevalence of extramedical opioid analgesic use in the US is rising, yet little is known about the nature and extent of problems of dependence related to the use of these drugs. This study uses Latent Class Analysis to empirically define classes of past-year extramedical opioid analgesic users based on observed clustering of DSM-IV defined clinical dependence features; multinomial logistic regression is used to describe differences across these groups. The 2002-2003 public data-files of the National Survey on Drug Use and Health were used to identify 7810 extramedical opioid analgesic users in the past-year. The best-fitting four-class model identified classes that differed quantitatively and qualitatively, with 2% of the users in Class 4 (most severe) and 84% in Class 1 (least severe). Classes 2 and 3 had parallel symptom profiles, but those in Class 3 reported additional problems. Adolescents (12-17 year olds) were at higher odds of being in Class 3 versus older age groups; females were two times as likely to be in Classes 2 and 4, and those with mental health problems were at higher odds of belonging to the more severe classes. Differences by type of past year opioid users were also detected. This study sheds light on the classification and distribution of extramedical opioid analgesic dependence symptoms in the US general population, identifying subgroups that warrant immediate attention.

Addressing tobacco-related health disparities

AIMS

The aim of this review is to outline a transdisciplinary research framework for identifying, explaining and intervening to address tobacco-related health disparities (TRHD). We will show the importance of an approach that integrates the human life-cycle (developmental) and tobacco addiction cycle (behavioral) for interventions that address group-specific vulnerabilities.

METHODS

The existing empirical knowledge base on tobacco-related health disparities is mapped onto a conceptual framework built around life-cycle and addiction cycle trajectories for disparate population groups.

FINDINGS

Current knowledge about developmental trajectories of tobacco use is based on general population studies with minimal information on group differences. At the national level, early onset of tobacco use is associated with a high level of tobacco dependence, low number of quit attempts, long-term smoking history and tobacco-related health harm. These relationships cannot be assumed for all population groups: African Americans and Asian Americans typically have a later age of tobacco use onset compared to European Americans, yet health consequences of smoking are higher among African Americans but not Asian Americans. Even less is known about group differences in the temporal progression from smoking onset to daily smoking. Determining the time-frame from initial to regular smoking seems crucial for targeted secondary prevention, before the establishment of addictive tobacco use patterns. Group-specific data characterizing the duration from daily tobacco use to a quit attempt or request for cessation treatment are also scant.

CONCLUSIONS

A comprehensive, integrated, transdisciplinary framework is needed to guide efforts to understand tobacco-related health disparities and to increase the effectiveness of evidence-based interventions delivered in culturally appropriate and economically practicable ways, while optimizing the balance between demand for and access to services.

Cognitive interviews for measurement evaluation of the Fagerström Test for Nicotine Dependence (FTND) in smokers with schizophrenia spectrum disorders

People diagnosed with schizophrenia have among the highest known rates of tobacco use. While the Fagerström Test for Nicotine Dependence (FTND) is the most widely used measure of nicotine dependence, recent research has questioned its applicability for individuals with schizophrenia. The current study employed cognitive interviews to evaluate the FTND with smokers diagnosed with schizophrenia spectrum disorders, recruited from an acute inpatient psychiatry setting, and a comparison group of smokers recruited from the community. The groups were comparable on tobacco use variables and FTND scores. Detailed qualitative cognitive interviews indicated all subjects understood the FTND items. For both groups, the FTND missed nocturnal smoking, reported as weekly by 80% of patients and 47% of controls. Finishing other people's cigarettes also was under-reported on the FTND. Restrictions to smoking were common across groups. The cognitive interview methodology proved useful for understanding how individuals interpreted and answered the FTND items. Overall, the qualitative findings identified limitations in the FTND for both groups, with the limitations generally more pronounced among patients with schizophrenia.