Multidimensional assessment of nicotine dependence in adolescents

Adaptation of the Young Adults' Cigarette Dependence (YACD) Scale for the development and validation of the Adolescent Cigarette Dependence Scale (ACDS)

Vulnerable adolescents may lose control over cigarette use within a day or two after smoking their first cigarette, as nicotine dependence (ND) symptoms may appear before actual daily smoking and usually occur at low levels of daily smoking. Moreover, smoking can cause illnesses and promote other types of substance abuse. Therefore, it was deemed essential to adapt the Young Adults' Cigarette Dependence (YACD) Scale to develop and validate the Adolescent Cigarette Dependence Scale (ACDS) in Lebanese adolescents and evaluate whether cumulative cigarette smoking is associated with nicotine dependence and symptoms of dependence. A cross-sectional study was carried out between August and September 2020, during the partial sanitary lockdown imposed by the government to limit COVID-19, coinciding with the summer holidays for most Lebanese. The total sample consisted of 564 community-dwelling adolescents aged 13 to 18. A factor analysis was performed using a varimax rotation. The Kaiser-Meyer-Olkin (KMO) measurement of sampling adequacy and Bartlett's sphericity test were appropriate. The factors retained corresponded to Eigenvalues > 1. Cronbach's alpha value represented the internal consistency of the scale. The Hooked on Nicotine Checklist (HONC) was used to screen for dependence symptoms. All items of the YACD were extracted, except for items 4 (smoking to concentrate at work) and 18 (smoking as a habit), which yielded a three-factor solution (factor 1 = smoking patterns; factor 2 = positive and negative reinforcements; factor 3 = smoking cessation) with Eigenvalues > 1 (variance explained = 56.18%; KMO = 0.784; Bartlett's sphericity test p < 0.001; α_Cronbach = 0.875). The newly generated scale was termed Adolescent Cigarette Dependence Scale (ACDS) and consisted of 19 items. Higher ACDS scores (higher cigarette dependence) were significantly associated with higher HONC scores (higher symptoms of dependence) (rho = 0.647; p < 0.001). Having deceased (B = 8.54) or divorced (B = 4.26) parents and higher cumulative cigarette smoking (B = 0.29) were significantly associated with higher ACDS scores. Higher cumulative cigarette smoking (B = 0.05) was significantly associated with higher HONC scores due to cigarettes. This study could validate a new tool to evaluate nicotine dependence among Lebanese adolescents, the Adolescent Cigarette Dependence Scale (ACDS). This version adapted from the Young Adults' Cigarette Dependence (YACD) Scale is reliable and valuable and correlates well with other scales, such as the HONC. However, further studies are necessary to improve this instrument, adding new questions useful for the diagnosis and evaluation of cigarette dependence.

The Role of Nicotine Dependence in E-Cigarettes' Potential for Smoking Reduction

Introduction

E-cigarettes (Electronic Nicotine Delivery Systems, or ENDS) are an increasingly popular tobacco product among youth. Some evidence suggests that e-cigarettes may be effective for harm reduction and smoking cessation, although these claims remain controversial. Little is known about how nicotine dependence may contribute to e-cigarettes' effectiveness in reducing or quitting conventional smoking.

Methods

A cohort of young adults were surveyed over 4 years (approximately ages 19-23). Varying-coefficient models (VCMs) were used to examine the relationship between e-cigarette use and conventional smoking frequency, and how this relationship varies across users with different nicotine dependence levels.

Results

Lifetime, but not recent, e-cigarette use was associated with less frequent concurrent smoking of conventional cigarettes among those with high levels of nicotine dependence. However, nondependent e-cigarette users smoked conventional cigarettes slightly more frequently than those who had never used e-cigarettes. Nearly half of ever e-cigarette users reported using them to quit smoking at the last measurement wave. For those who used e-cigarettes in a cessation attempt, the frequency of e-cigarette use was not associated with reductions in future conventional smoking frequency.

Conclusions

These findings offer possible support that e-cigarettes may act as a smoking reduction method among highly nicotine-dependent young adult cigarette smokers. However, the opposite was found in non-dependent smokers, suggesting that e-cigarette use should be discouraged among novice tobacco users. Additionally, although a substantial proportion of young adults used e-cigarettes to help them quit smoking, these self-initiated quit attempts with e-cigarettes were not associated with future smoking reduction or cessation.

Implications

This study offers potential support for e-cigarettes as a smoking reduction tool among highly nicotine-dependent young adult conventional smokers, although the extent and nature of this remains unclear. The use of e-cigarettes as a quit aid was not associated with reductions in conventional smoking, consistent with most other quit aids in this sample except for nicotine replacement therapy, which was only effective for the most dependent smokers. Notably, these findings highlight the necessity of accounting for smokers' nicotine dependence levels when examining tobacco use patterns.

Nicotine dependence predicts cannabis use disorder symptoms among adolescents and young adults

PURPOSE

We evaluate if cigarette smoking and/or nicotine dependence predicts cannabis use disorder symptoms among adolescent and young adult cannabis users and whether the relationships differ based on frequency of cannabis use.

METHODS

Data were drawn from seven annual surveys of the NSDUH to include adolescents and young adults (age 12-21) who reported using cannabis at least once in the past 30 days (n = 21,928). Cannabis use frequency trends in the association between cigarette smoking, nicotine dependence and cannabis use disorder symptoms were assessed using Varying Coefficient Models (VCM's).

RESULTS

Over half of current cannabis users also smoked cigarettes in the past 30 days (54.7% SE 0.48). Cigarette smoking in the past 30 days was associated with earlier onset of cannabis use, more frequent cannabis use and a larger number of cannabis use disorder symptoms compared to those who did not smoke cigarettes. After statistical control for socio-demographic characteristics and other substance use behaviors, nicotine dependence but not cigarette smoking quantity or frequency was positively and significantly associated with each of the cannabis use disorder symptoms as well as the total number of cannabis symptoms endorsed. Higher nicotine dependence scores were consistently associated with the cannabis use disorder symptoms across all levels of cannabis use from 1 day used (past month) to daily cannabis use, though the relationship was strongest among infrequent cannabis users.

CONCLUSION

Prevention and treatment efforts should consider cigarette smoking comorbidity when addressing the increasing proportion of the US population that uses cannabis.

Evaluating the mutual pathways among electronic cigarette use, conventional smoking and nicotine dependence

BACKGROUND AND AIMS

The implications of the rapid rise in electronic cigarette (e-cigarette) use remain unknown. We examined mutual associations between e-cigarette use, conventional cigarette use and nicotine dependence over time to (1) test the association between e-cigarette use and later conventional smoking (both direct and via nicotine dependence), (2) test the converse associations and (3) determine the strongest pathways predicting each product's use.

DESIGN

Data from four annual waves of a prospective cohort study were analyzed. Path analysis modeled the bidirectional, longitudinal relationships between past-month smoking frequency, past-month e-cigarette frequency and nicotine dependence.

SETTING

Chicago area, Illinois, USA.

PARTICIPANTS

A total of 1007 young adult smokers and non-smokers (ages 19-23 years).

MEASUREMENTS

Frequency of (1) cigarettes and (2) e-cigarettes was the number of days in the past 30 on which the product was used. The Nicotine Dependence Syndrome Scale measured nicotine dependence to cigarettes.

FINDINGS

E-cigarette use was not associated significantly with later conventional smoking, either directly (β = 0.021, P = 0.081) or through nicotine dependence (β = 0.005, P = 0.693). Conventional smoking was associated positively with later e-cigarette use, both directly (β = 0.118, P < 0.001) and through nicotine dependence (β = 0.139, P < 0.001). The strongest predictors of each product's use was prior use of the same product; this pathway was strong for conventional cigarettes (β = 0.604, P < 0.001) but weak for e-cigarettes (β = 0.120, P < 0.001). Nicotine dependence moderately strongly predicted later conventional smoking (β = 0.169, P < 0.001), but was a weak predictor of later e-cigarette use (β = 0.069, P = 0.039).

CONCLUSIONS

Nicotine dependence is not a significant mechanism for e-cigarettes' purported effect on heavier future conventional smoking among young adults. Nicotine dependence may be a mechanism for increases in e-cigarette use among heavier conventional smokers, consistent with e-cigarettes as a smoking reduction tool. Overall, conventional smoking and, to a lesser extent, its resulting nicotine dependence, are the strongest drivers or signals of later cigarette and e-cigarette use.

Nicotine Dependence and Alcohol Problems from Adolescence to Young Adulthood

BACKGROUND

Despite the highly replicated relationship between symptoms associated with both alcohol and nicotine, little is known about this association across time and exposure to both drinking and smoking. In the present study, we evaluate if problems associated with alcohol use are related to emerging nicotine dependence symptoms and whether this relationship varies from adolescence to young adulthood, after accounting for both alcohol and nicotine exposure.

METHODS

The sample was drawn from the Social and Emotional Contexts of Adolescent Smoking Patterns Study which measured smoking, nicotine dependence, alcohol use and alcohol related problems over 6 assessment waves spanning 6 years. Analyses were based on repeated assessment of 864 participants reporting some smoking and drinking 30 days prior to individual assessment waves. Mixed-effects regression models were estimated to examine potential time, smoking and/or alcohol varying effects in the association between alcohol problems and nicotine dependence.

FINDINGS

Inter-individual differences in mean levels of alcohol problems and within subject changes in alcohol problems from adolescence to young adulthood were each significantly associated with nicotine dependence symptoms over and above levels of smoking and drinking behaviour. This association was consistent across both time and increasing levels of smoking and drinking.

CONCLUSIONS

Alcohol related problems are a consistent risk factor for nicotine dependence over and above measures of drinking and smoking and this association can be demonstrated from the earliest experiences with smoking in adolescents, through the establishment of more regular smoking patterns across the transition to young adulthood. These findings add to accumulating evidence suggesting that smoking and drinking may be related through a mechanism that cannot be wholly accounted for by exposure to either substance.

Early-Emerging Nicotine Dependence Has Lasting and Time-Varying Effects on Adolescent Smoking Behavior

Novice and light adolescent smokers can develop symptoms of nicotine dependence, which predicts smoking behavior several years into the future. However, little is known about how the association between these early - emerging symptoms and later smoker behaviors may change across time from early adolescence into young adulthood. Data were drawn from a 7-year longitudinal study of experimental (<100 cigarettes/lifetime; N = 594) and light (100+ cigarettes/lifetime, but ≤5 cigarettes/day; N = 152) adolescent smokers. Time-varying effect models were used to examine the relationship between baseline nicotine dependence (assessed at age 15 ± 2 years) and future smoking frequency through age 24, after controlling for concurrent smoking heaviness. Baseline smoking status, race, and sex were examined as potential moderators of this relationship. Nicotine dependence symptoms assessed at approximately age 15 significantly predicted smoking frequency through age 24, over and above concurrent smoking heaviness, though it showed declining trends at older ages. Predictive validity was weaker among experimenters at young ages (<16), but stronger at older ages (20-23), relative to light smokers. Additionally, nicotine dependence was a stronger predictor of smoking frequency for white smokers around baseline (ages 14.5-16), relative to nonwhite smokers. Nicotine dependence assessed in mid-adolescence predicts smoking frequency well into early adulthood, over and above concurrent smoking heaviness, especially among novice smokers and nonwhite smokers. Early-emerging nicotine dependence is a promising marker for screening and interventions aimed at preventing smoking progression.

Marijuana and tobacco use and co-use among African Americans: results from the 2013, National Survey on Drug Use and Health

BACKGROUND

Although studies have identified an increased likelihood of marijuana and tobacco co-use among African Americans as compared to other racial groups, few studies have specifically examined the prevalence and substance use characteristics of co-users among African Americans in a national survey.

METHODS

The current secondary analysis examined the prevalence rates and substance use characteristics (e.g., marijuana dependence) of 2024 African American past month marijuana and tobacco users and co-users participating in the 2013 National Survey on Drug Use and Health.

RESULTS

Findings revealed that 18.5%, 53.8% and 27.7% of African Americans smoked marijuana only, tobacco only and marijuana and tobacco in the past 30days, respectively. Relative to participants who smoked marijuana only, African Americans who smoked marijuana and tobacco were more likely to be marijuana dependent in the past year and report more days of marijuana use in the past month. Further, relative to participants who smoked tobacco only, African Americans who smoked marijuana and tobacco were less likely to be dependent on nicotine, reported fewer days of cigarette use in the past month, and began smoking cigarettes, cigars and marijuana at a younger age, but were more likely to be marijuana dependent in the past year and reported more days of cigar use in the past month.

CONCLUSIONS

Marijuana and tobacco co-use is a significant public health problem, especially among African Americans. Additional research on effective prevention and treatment interventions for African Americans who smoke marijuana and tobacco is warranted.

Intergenerational Patterns of Smoking and Nicotine Dependence Among US Adolescents

OBJECTIVES

We examined associations between parental and adolescent smoking and nicotine dependence in the United States.

METHODS

We used data from the 2004 to 2012 National Survey on Drug Use and Health, which ascertained smoking behaviors of 1 parent and 1 adolescent aged 12 to 17 years in 35 000 dyads. We estimated associations between parental and adolescent smoking behaviors, adjusted for covariates.

RESULTS

Parental current dependence was strongly associated with adolescents' lifetime smoking (adjusted odds ratio [AOR] = 2.96; 95% confidence interval [CI] = 2.47, 3.55), whereas parental current nondependent smoking (AOR = 2.26; 95% CI = 1.92, 2.67) and former smoking (AOR = 1.51; 95% CI = 1.31, 1.75) were less strongly associated. Only parental nicotine dependence was associated with adolescent nicotine dependence (AOR = 1.66; 95% CI = 1.00, 2.74). Associations between parental and adolescent smoking did not differ by race/ethnicity. Parents' education, marital status, and parenting and adolescents' mental health, beliefs about smoking, perception of schoolmates' smoking, and other substance use predicted adolescent smoking and dependence.

CONCLUSIONS

Reducing parental smoking would reduce adolescent smoking. Prevention efforts should encourage parental smoking cessation, improve parenting, address adolescent mental health, and reinforce adolescents' negative beliefs about smoking.

Early emerging nicotine dependence symptoms in adolescence predict daily smoking in young adulthood

PURPOSE

The present study evaluated the predictive validity of individual early emerging nicotine dependence symptoms in adolescence on smoking behavior in young adulthood.

METHODS

A total of 492 adolescents who, at baseline, had not smoked more than 100 cigarettes in their lifetime and 123 adolescents who smoked more than 100 cigarettes lifetime, and who participated in the 6-year follow-up assessment were included in the present analyses. Predictive validity of 10 nicotine dependence items administered at baseline was evaluated at the 6 year follow-up when the sample had entered young adulthood (mean age=21.6).

RESULTS

Among adolescents who had smoked fewer than 100 cigarettes, experiencing higher levels of overall nicotine dependence as well as individual symptoms at baseline longitudinally predicted an increase in risk for daily smoking in young adulthood, after controlling for baseline smoking and other tobacco use. For adolescents who had smoked more than 100 cigarettes at baseline, level of nicotine dependence and individual symptom endorsement did not predict smoking behavior in young adulthood.

CONCLUSIONS

These findings add to accumulating evidence that early emerging dependence symptoms reported at low levels of smoking exposure signal a greater propensity for continued smoking behavior. Screening for these early emerging symptoms among novice adolescent smokers represents an important and unused tool in tobacco control efforts aimed at preventing the development of chronic smoking patterns.

Comparisons of three nicotine dependence scales in a multiethnic sample of young adult menthol and non-menthol smokers

BACKGROUND

Few studies have compared nicotine dependence among menthol and non-menthol cigarette smokers in a multiethnic sample of young adult daily cigarette smokers. This study examines differences in nicotine dependence among menthol and non-menthol daily smokers and the associations of nicotine dependence with quitting behaviors among Native Hawaiian, Filipino, and White cigarette smokers aged 18-35.

METHODS

Craigslist.org, newspaper advertisements, and peer-to-peer referrals were used to recruit daily smokers (n = 186) into a lab-based study. Nicotine dependence was assessed using the Fagerstrom Test of Nicotine Dependence (FTND), the Nicotine Dependence Syndrome Scale (NDSS), and the brief Wisconsin Inventory for Smoking Dependence Motives (WISDM). Multiple regression analyses were used to examine differences in nicotine dependence between menthol and non-menthol smokers and the relationship between each nicotine dependence scale with self-efficacy to quit, quit attempt in the past 12 months, and number of attempts.

RESULTS

Menthol smokers were more likely to report difficulty refraining from smoking in places where forbidden (p = .04) and had higher scores on social/environmental goads subscale of the WISDM (p = .0005). Two-way interaction models of the FTND and menthol status showed that menthol smokers with higher levels of dependence were more likely to have tried to quit smoking in the past 12 months (p = .02), but were less likely to have had multiple quit attempts (p = .01).

CONCLUSIONS

Components of the FTND and WISDM distinguish levels of dependence between menthol and non-menthol smokers. Higher FTND scores were associated with having a quit attempt, but fewer quit attempts among menthol smokers.

Depression and nicotine dependence from adolescence to young adulthood

INTRODUCTION

Despite the highly replicated relationship between depression and nicotine dependence, little is known about this association across both time and levels of lifetime smoking exposure. In the present study, we evaluate if symptoms of depression are associated with emerging nicotine dependence after accounting for smoking exposure and whether this relationship varies from adolescence to young adulthood and across increasing levels of smoking.

PATIENTS AND METHODS

The sample was drawn from the Social and Emotional Contexts of Adolescent Smoking Patterns Study which measured smoking, nicotine dependence and depression over 6 assessment waves spanning 6years. Analyses were based on repeated assessment of 941 participants reporting any smoking 30days prior to individual assessment waves. Mixed-effects regression models were estimated to examine potential time and smoking exposure varying effects in the association between depression and nicotine dependence.

RESULTS

Inter-individual differences in mean levels of depression and within subject changes in depression from adolescence to young adulthood were each significantly associated with nicotine dependence symptoms over and above lifetime smoking exposure. This association was consistent across both time and increasing levels of lifetime smoking.

DISCUSSION

Depression is a consistent risk factor for nicotine dependence over and above exposure to cigarettes and this association can be demonstrated from the earliest experiences with smoking in adolescents through the establishment of more regular smoking patterns across the transition to young adulthood.

CONCLUSION

Depression remains a prominent risk factor for nicotine dependence, and youth with depression symptoms represent an important subgroup in need of targeted smoking intervention.

Nicotine-dependence-varying effects of smoking events on momentary mood changes among adolescents

INTRODUCTION

Theories of nicotine addiction emphasize the initial role of positive reinforcement in the development of regular smoking behavior, and the role of negative reinforcement at later stages. These theories are tested here by examining the effects of amount smoked per smoking event on smoking-related mood changes, and how nicotine dependence (ND) moderates this effect. The current study examines these questions within a sample of light adolescent smokers drawn from the metropolitan Chicago area (N=151, 55.6% female, mean 17.7years).

INSTRUMENTS

Ecological momentary assessment data were collected via handheld computers, and additional variables were drawn from a traditional questionnaire.

METHODS

Effects of the amount smoked per event on changes in positive affect (PA) and negative affect (NA) after vs. before smoking were examined, while controlling for subject-averaged amount smoked, age, gender, and day of week. ND-varying effects were examined using varying effect models to elucidate their change across levels of ND.

RESULTS

The effect of the amount smoked per event was significantly associated with an increase in PA among adolescents with low-to-moderate levels of ND, and was not significant at high ND. Conversely, the effect of the amount smoked was significantly associated with a decrease in NA only for adolescents with low levels of ND.

CONCLUSIONS

These findings support the role of positive reinforcement in early stages of dependent smoking, but do not support the role of negative reinforcement beyond early stages of smoking. Other potential contributing factors to the relationship between smoking behavior and PA/NA change are discussed.

Make your own cigarettes: toxicant exposure, smoking topography, and subjective effects

BACKGROUND

Despite considerable use of make your own (MYO) cigarettes worldwide and increasing use in the United States, relatively little is known about how these cigarettes are smoked and the resultant toxicant exposure.

METHODS

In a laboratory study, we compared two types of MYO cigarettes-roll your own (RYO) and personal machine made (PMM)-with factory-made (FM) cigarettes in three groups of smokers who exclusively used RYO (n = 34), PMM (n = 23), or FM (n = 20). Within each group, cigarettes were smoked in three conditions: (i) after confirmed overnight tobacco abstinence; (ii) in an intense smoking paradigm; and (iii) without restrictions. All cigarettes were smoked ad lib through a smoking topography unit.

RESULTS

Plasma nicotine significantly increased after cigarettes in all conditions except PMM in the intense smoking paradigm. Puff volume, puff duration, total puff volume, and puff velocity did not differ between cigarette types but the puffs per cigarette and time to smoke were significantly smaller for RYO compared with PMM and FM. Regardless of the cigarette, participants consumed the first three puffs more vigorously than the last three puffs.

CONCLUSIONS

Despite the belief of many of their consumers, smoking MYO cigarettes is not a safe alternative to FM cigarettes. Like FM, MYO cigarettes expose their users to harmful constituents of tobacco smoke. Despite differences in size and design their puffing profiles are remarkably similar.

IMPACT

These data are relevant to health and regulatory considerations on the MYO cigarettes.

Exploring alternate processes contributing to the association between maternal smoking and the smoking behavior among young adult offspring

INTRODUCTION

Maternal smoking during pregnancy (MSP) is a known risk factor for regular smoking in young adulthood and may pose a risk independently of mother's lifetime smoking. The processes through which MSP exerts this influence are unknown but may occur through greater smoking quantity and frequency following initiation early in adolescence or increased sensitivity to nicotine dependence (ND) at low levels of smoking.

METHODS

This study used path analysis to investigate adolescent smoking quantity, smoking frequency, and ND as potential simultaneous mediating pathways through which MSP and mother's lifetime smoking (whether she has ever smoked) increase the risk of smoking in young adulthood among experimenters (at baseline, <100 cigarettes/lifetime) and current smokers (>100 cigarettes/lifetime).

RESULTS

For experimenters, MSP was directly associated with more frequent young adult smoking and was not mediated by adolescent smoking behavior or ND. Independently of MSP, the effect of mother's lifetime smoking was fully mediated through frequent smoking and was heightened ND during adolescence. Controlling for MSP eliminated a previously observed direct association between mother's lifetime smoking and future smoking among experimenters. For current smokers, only prior smoking behavior was associated with future smoking frequency.

CONCLUSIONS

These results seem to rule out sensitivity to ND and increased smoking behavior as contributing pathways of MSP. Further, the impact of MSP on young adult smoking extends beyond that of having an ever-smoking mother. Future work should test other possible mediators; for example, MSP-related epigenetic changes or gene variants influencing the brain's nicotine response.

Time-varying effects of smoking quantity and nicotine dependence on adolescent smoking regularity

BACKGROUND

Little is known about time-varying effects of smoking quantity and nicotine dependence on the regularity of adolescent smoking behavior.

METHODS

The sample was drawn from the Social and Emotional Contexts of Adolescent Smoking Patterns Study which followed adolescent smokers over 5 assessment waves spanning 48 months. Participants included former experimenters (smoked <100 cigarettes/lifetime but did not smoke in past 90 days), recent experimenters (smoked <100 cigarettes/lifetime and smoked in past 90 days), and current smokers (smoked >100 cigarettes/lifetime and smoked in past 30 days). Mixed-effects regression models were run to examine the time-varying effects of smoking quantity and nicotine dependence on regularity of smoking behavior, as measured by number of days smoked.

RESULTS

Smoking quantity and nicotine dependence were each found to be significantly associated with regularity of adolescent smoking and the size of each effect exhibited significant variation over time. The effect of smoking quantity decreased across time for each smoking group, while the effect of nicotine dependence increased across time for former and recent experimenters. By the 48-month follow-up, the effects of smoking quantity and nicotine dependence had each stabilized across groups.

CONCLUSIONS

This study reveals that smoking quantity and nicotine dependence are not static risk factors for the development of more regular smoking patterns. At low levels of smoking when nicotine dependence symptoms are less common, smoking quantity is a stronger predictor of increased regularity of smoking, while for more experienced smokers, nicotine dependence predicts further increases in regularity.

Modeling nicotine dependence: an application of a longitudinal IRT model for the analysis of adolescent nicotine dependence syndrome scale

INTRODUCTION

Measures of nicotine dependence typically use the item average or total score from rating scales, such as the Nicotine Dependence Syndrome Scale (NDSS). Alternatively, item response theory (IRT) methods can provide useful item-specific information. IRT methods developed for longitudinal data can additionally provide information about item-specific changes over time.

METHODS

We describe a longitudinal 2-parameter ordinal IRT model, and compare the results from this model with those from an IRT model for only the baseline item responses, and a conventional longitudinal analysis of the item-average NDSS score. We examined a 10-item, adolescent version of the NDSS at baseline, 6, 15, and 24 months for 1,097 9th or 10th graders.

RESULTS

IRT analysis of the baseline data revealed that the items "willing to go out of the house in a storm to find a cigarette," "choose to spend money on cigarettes than lunch," "function better after morning cigarette," and "worth smoking in cold or rain," were good items at distinguishing individuals' levels of nicotine dependency. While the analysis of the averaged NDSS score indicated linear growth over time, the longitudinal IRT method revealed that only 5 out of the 10 items showed statistical increase over time.

CONCLUSIONS

Infrequently endorsed NDSS items were generally better able to distinguish higher levels of dependency. The endorsement of such items increased over time. Items that changed significantly over time reflected the general drive concept of dependence, as well as the total first overarching dimension of dependence.

Spanish Adaptation of the NDSS (Nicotine Dependence Syndrome Scale) and Assessment of Nicotine-Dependent Individuals at Primary Care Health Centers in Spain

The availability of adequate instruments for the assessment of nicotine dependence is an important factor that is relevant in the area of tobacco addiction. In this study, we present a Spanish validation of the Nicotine Dependence Syndrome Scale (NDSS) (Shiffman, Waters, & Hickcox, 2004). The sample was composed of patients, all daily smokers, who visited their General Practitioner (GP) at five Primary Health Care Centers in different cities of Spain (N = 637). The results indicated adequate reliability for the general factor that assesses nicotine dependence (NDSS-Total) (Cronbach's α = .76). Factor analysis confirms the five factors of the original validation: Drive, Continuity, Stereotypy, Priority, and Tolerance. It must be noted that reliability is adequate for the first, and moderate or low for the rest. The NDSS-T and its scales correlate significantly with the Fagerström Test for Nicotine Dependence (FTND), with the nicotine dependence criteria of the Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) as assessed through the Structured Clinical Interview for DSM-IV (SCID), with carbon monoxide levels in expired air (CO), and with the number of cigarettes smoked. The ROC curve indicates that the NDSS-T has a score of .79 which is under the curve (.69 for the FTND), thus the prediction of nicotine dependence is adequate. We conclude that this instrument is useful (in terms of its total score NDSS-T) for assessing nicotine dependence for Spanish smokers (in Spain), as has been found in other countries, language groups, and cultures.

Risk factors for adolescent smoking: parental smoking and the mediating role of nicotine dependence

BACKGROUND

Parental smoking and early-emerging nicotine dependence symptoms are well-documented risk factors for adolescent smoking. However, very little is known about the mediating pathways through which these risk factors may act, or whether parental smoking may cause or signal early-emerging nicotine dependence symptoms.

METHODS

Data were drawn from the longitudinal Social and Emotional Contexts of Adolescent Smoking Patterns Study. Adolescents who had smoked under 100 cigarettes in their lifetime (n=594; low-exposure group) and adolescents who had smoked over 100 cigarettes, but fewer than 5 cigarettes per day (n=152) were included in the analyses. Path analysis was performed on longitudinal data to investigate the association between parental smoking and smoking frequency at the 48 months follow-up, both directly and through mediating variables of smoking frequency, smoking quantity, and nicotine dependence.

RESULTS

Father's smoking was associated with higher adolescent nicotine dependence scores at the baseline assessment wave. Structural equation modeling revealed that mother's smoking at baseline was associated with adolescent's smoking frequency at the 48-month follow-up, and its effect was partially mediated by both smoking frequency and nicotine dependence among low-exposure adolescent smokers.

CONCLUSIONS

Parental smoking is a risk factor for future smoking in low-exposure adolescent smokers, above and beyond the risks posed by smoking behavior and nicotine dependence. Moreover, parental smoking is associated with early-onset nicotine dependence in low-exposure adolescent smokers. As an easily measureable risk factor, parent smoking status can be used to identify and intervene with novice adolescent smokers who are at high risk for chronic smoking behavior.

The natural course of nicotine dependence symptoms among adolescent smokers

INTRODUCTION

Few studies have investigated the natural course of nicotine dependence prospectively from the earliest experiences with smoking.

METHODS

Drawing on a cohort of 9th- and 10th-grade adolescents followed over 48 months, survival analyses were conducted to evaluate the cumulative probability, following smoking initiation, for the development of nicotine dependence symptoms.

RESULTS

Although each nicotine dependence symptom was significantly more prevalent among adolescents who had smoked more than 100 cigarettes by the end of the follow-up assessment, 20% of adolescents smoking fewer than 100 cigarettes reported experiencing "smoking to relieve restlessness and irritability" and "smoking a lot more now to be satisfied compared to when first smoked." Nicotine dependence symptoms were also reported before reaching 100 cigarettes for a substantial number of adolescents (between 9.4% and 58.8% for individual symptoms). Endorsement of nicotine dependence symptoms prospectively predicted past-week smoking (odds ratios [ORs] between 3.18 and 14.62 for significant symptoms) and past-month daily smoking (significant symptoms' ORs between 3.52 and 10.68) at the 48-month assessment even when controlling for amount of previous smoking.

CONCLUSIONS

The present study adds to the growing body of literature on the natural course of nicotine dependence from earliest experiences with smoking by showing that symptoms of nicotine dependence may develop soon after initiation and/or at low levels of smoking. Our findings suggest that novice adolescent smokers should not be neglected in smoking cessation intervention and that screening and effective intervention for early emerging symptoms among adolescent smokers may be an important target in preventing chronic smoking.

Parsing the Undercontrol/Disinhibition Pathway to Substance Use Disorders: A Multilevel Developmental Problem

A long-standing and diverse body of evidence has documented the importance of externalizing characteristics as very early etiologic predictors of a pathway to severe alcohol and other drug problems and substance use disorder. At the same time, much remains unclear about the mechanistic structure of this pathway, including understanding what the defining characteristics are that encompass the diverse behaviors included in the externalizing domain. This article proposes that the core risk phenotype unifying this domain is behavioral undercontrol/disinhibition. It describes the defining features of this phenotype and outlines the mediators, moderators, and developmental course that characterize the pathway from early risk to a substance use disorder endpoint. A brief summary of the neurocognitive and brain functional response systems that underlie the behavioral phenotype emphasizes the operation of two systems in dynamic tension, one an effortful control system, the other an incentive reactivity system.

An item response theory analysis of nicotine dependence symptoms in recent onset adolescent smokers

INTRODUCTION

Given absence of a "gold standard" for measuring self-reported nicotine dependence, particularly among less experienced smokers, there is a need to evaluate existing measures to determine how well symptoms measure the underlying nicotine dependence construct and whether symptoms function differently for less experienced smokers. Study aims were to determine (1) likelihood of endorsement of individual symptoms at different levels of a nicotine dependence construct and the ability of symptoms to discriminate between different levels of this construct and (2) whether these symptom properties varied between nondaily and daily smokers.

METHODS

We used multiple group item response theory analysis to evaluate nicotine dependence symptoms from the nicotine dependence syndrome scale based on a nationally representative sample of 8081 recent onset adolescent smokers from the national surveys on drug use and health.

RESULTS

After controlling for age, gender, smoking quantity and length of smoking exposure, symptoms assessing tolerance were invariant across nondaily and daily smokers, and discriminated well between levels of the nicotine dependence construct. However, the majority of symptoms functioned differently for nondaily and daily smokers. These symptoms did not discriminate as well between levels of the nicotine dependence construct and were more likely to be endorsed at lower levels of this construct for daily smokers.

DISCUSSION

A measure that encompasses a range of symptoms tapping different aspects of smoking may be ideally suited for nondaily adolescent smokers, while an ideal measure of nicotine dependence for daily smokers might also include more core diagnostic features of nicotine dependence such as withdrawal and tolerance.

Early emerging nicotine-dependence symptoms: a signal of propensity for chronic smoking behavior in adolescents

OBJECTIVE

To evaluate the predictive validity of nicotine-dependence symptoms in 9th- and 10th-grade adolescents.

STUDY DESIGN

A total of 594 adolescents who had not smoked more than 100 cigarettes in their lifetime and 152 adolescents who had smoked more than 100 cigarettes in their lifetime were included in the analysis. The predictive validity of 10 nicotine-dependence items administered at baseline was evaluated at the 24-month follow-up assessment.

RESULTS

For those who smoked fewer than 100 cigarettes, higher levels of experienced nicotine-dependence symptoms at baseline, as well as individual symptoms, predicted current and daily smoking behavior at the 24-month follow-up, over and above baseline smoking. For adolescents who had smoked more than 100 cigarettes at baseline, the level of nicotine dependence and individual symptom endorsement did not predict smoking behavior at the 24-month follow-up.

CONCLUSIONS

Our findings demonstrate that early emerging dependence symptoms reported at low levels of smoking exposure signal a greater propensity for continued smoking behavior not accounted for by current or past smoking exposure. Screening for these early emerging symptoms among novice adolescent smokers represents an important and unused tool in tobacco control efforts aimed at preventing the development of chronic smoking patterns.

Nicotine dependence and problem behaviors among urban South African adolescents

Tobacco use and its concomitant, nicotine dependence, are increasing in African countries and other parts of the developing world. However, little research has assessed nicotine dependence in South Africa or other parts of the African continent. Previous research has found that adolescent problem behaviors, including tobacco use, tend to cluster. This study examined the relationship between nicotine dependence and adolescent problem behaviors in an ethnically diverse sample of urban South African adolescents. A community sample (N = 731) consisting of "Black," "White," "Coloured," and "Indian" youths aged 12-17 years was drawn from the Johannesburg metropolitan area. Structured interviews were administered by trained interviewers. Nicotine dependence was assessed by the Fagerström Test of Nicotine Dependence. Logistic regression analyses showed that higher levels of nicotine dependence significantly predicted elevated levels of violent behavior, deviant behavior, marijuana and other illegal drug use, binge drinking, early sexual intercourse, multiple sexual partners, and inconsistent condom use, despite control on the adolescents' demographic characteristics, peer smoking, conflict with parents, peer deviance, and the availability of legal and illegal substances. These relationships were robust across ethnicity and gender. The findings indicate the need for policy makers and prevention and intervention programs in South Africa to consider adolescent nicotine dependence in conjunction with comorbid problem behaviors, including other substance use, sexual risk behaviors, and deviant behaviors.

Nicotine dependence symptoms among recent onset adolescent smokers

The present study examined the prevalence of individual nicotine dependence symptoms among recent onset smokers across the continuum of nondaily and daily cigarette smoking behavior in a nationally representative sample of recent onset smokers from the National Surveys on Drug Use and Health (NSDUH). Rates of endorsement for 17 symptoms drawn primarily from the Nicotine Dependence Symptom Scale (Shiffman et al., 2004) were calculated for four levels of nondaily (smoked 1-3, 4-10, 11-20, or 21-29 days in the past 30 days) and daily (smoked 1, 2-5, 6-15, or >15 cigarettes per day in the past 30 days) smoking. Logistic and linear regression analyses with polynomial contrasts controlling for age, gender, length of exposure, and smoking quantity tested trends in symptom endorsement across levels of smoking. Significant linear and quadratic trends indicated that increasing rates of endorsement differed most between the lowest levels of nondaily and daily smoking. Results suggest that, for some, infrequent smoking may not represent benign experimentation. Recognizing early symptoms of nicotine dependence may assist in early identification and intervention of those at risk for heavier smoking in the future. Adolescents can be taught to recognize the early symptoms of nicotine dependence to increase awareness of the rapidity at which these symptoms may appear.

Patterns of responding differentiate intravenous nicotine self-administration from responding for a visual stimulus in C57BL/6J mice

RATIONALE

Testing genetically engineered mice in a reliable nicotine self-administration procedure could provide important insights into the molecular mechanisms underlying nicotine reinforcement.

OBJECTIVES

We assessed operant responding for intravenous nicotine infusions in C57BL/6J male mice under a fixed-ratio 3 schedule of reinforcement in which a visual cue was contingently associated with drug delivery.

METHODS/RESULTS

Acquisition, dose-response function, extinction, and cue-induced reinstatement of operant behavior were characterized. Low nicotine doses (0.001-0.06 mg/kg/infusion) elicited response rates similar to those supported by saline, whereas a higher dose (0.1 mg/kg/infusion) decreased responding. Using an identical procedure to assess cocaine self-administration in an independent group of mice yielded an inverted U-shaped dose-response curve. Other mice trained to respond exclusively for the visual stimulus earned a similar number of reinforcers as mice self-administering saline or low nicotine doses, although with a lower selectivity for the active lever and their response rates were sensitive to the discontinuation and resumption of cue light presentation. Finally, patterns of responding for nicotine, cocaine, or the visual stimulus alone were analyzed using frequency distributions of inter-response intervals and extended return maps. These analyses revealed unique properties of nicotine, which dose-dependently delayed the first response post-timeout and increased the regularity of lever pressing activity.

CONCLUSIONS

Nicotine did not enhance the reinforcing properties of the visual cue paired with drug delivery. Interestingly, however, patterns of responding could differentiate nicotine self-administration from responding for a visual stimulus or saline and indicated that nicotine functioned as a salient stimulus driving highly regular operant behavior.

Do smokers of specialty and conventional cigarettes differ in their dependence on nicotine?

Specialty cigarettes, bidis and kreteks, have commonly been viewed by adolescent users as being less harmful than conventional cigarettes. Biochemical studies, however, have shown that the concentration and delivery of nicotine from these tobacco products are not insignificant. The current study tested whether the diagnosis and symptoms for nicotine dependence differed among conventional-only smokers (n=16 959), specialty-only smokers (n=313), and poly-tobacco smokers (n=1288) from the 2002 and 2003 National Surveys on Drug Use and Health. Compared with the specialty-only smokers, the conventional-only and poly-tobacco smokers were more dependent on nicotine, assessed by the Nicotine Dependence Syndrome Scale and a single item from the Fagerstrom Test for Nicotine Dependence. However, after accounting for differences in smoking frequency, the specialty-only smokers had significantly greater odds of being nicotine dependent than the conventional-only smokers. The reversed effect was primarily attributed to the specialty-only smokers who smoked less frequently, but reported a shorter time to their first cigarette. These findings suggest that the nicotine acquired from specialty cigarettes may be sufficient in yielding a sense of urgency to smoke.

Therapy for specific problems: youth tobacco cessation

Cigarette smoking is the leading cause of premature morbidity and mortality in the United States. The majority of children smoke their first cigarette in early adolescence, and many older teens have well-established dependence on nicotine. Efforts to promote and support smoking cessation among these youth smokers are critical. The available experimental studies of youth cessation interventions find that behavioral interventions increase the chances of youth smokers achieving successful cessation. Currently there is insufficient evidence for the effectiveness of pharmacological treatments with youth smokers. Many innovative studies have been compromised by challenges in recruiting sufficient numbers of youth, obtaining approval for waivers of parental consent, and high attrition in longitudinal studies. Key areas for future work include bridging the fields of adolescent development and treatment design, matching treatments to developmental trajectories of smoking behavior, better understanding treatment processes and treatment moderators, and building demand for evidence-based cessation treatments.

Linking measures of adolescent nicotine dependence to a common latent continuum

Using the theoretical model of nicotine dependence (ND) operationalized within the Diagnostic and Statistical Manual of Mental Disorder, fourth Edition (DSM-IV: American Psychiatric [American Psychiatric Association, 1994. Diagnostic and Statistical Manual of Mental Disorders. 4th ed. American Psychiatric Association, Washington, DC]) as a frame of reference, we used methods based in item response theory to link alternative instruments assessing adolescent nicotine dependence severity to a common latent continuum. A multi-ethnic cohort of 6th-10th graders selected from the Chicago Public Schools (CPS) completed five household interviews over 2 years. Youth who reported at least some cigarette use in the last 30 days prior to the interviews at waves W3-W5 completed measures of DSM-IV ND, the Modified Fagertrom Tolerance Questionnaire (mFTQ: Prokhorov et al., 1998) and the Nicotine Dependence Syndrome Scale (NDSS: Shiffman et al., 2004), yielding samples of 253, 241, and 296 respondents at W3-W5, respectively. Confirmatory factor analysis supported a primary dimension of ND. Each instrument's items had complementary and stable relationships to ND across multiple waves of assessment. By aligning symptoms along a common latent ND continuum, we evaluated the consistency of symptoms from different instruments that target similar content. Further, these methods allowed for the examination of the DSM-IV as a continuous index of ND, evaluation of the degree of heterogeneity in levels of ND within groups above and below diagnostic thresholds, and the utility of using the pattern or particular DSM-IV symptoms that led to each score in further differentiating levels of ND. Finally, we examined concurrent validity of the ND continuum and levels of current of smoking at each wave of assessment.

Predictors of DSM and Fagerstrom-defined nicotine dependence in African American and Puerto Rican young adults

This study examined the psychosocial predictors of nicotine dependence, as defined by a variant of the criteria employed in the DSM-IV-specifically that of the University of Michigan Composite International Diagnostic Interview (UM-CIDI)-and the Fagerstrom Test for Nicotine Dependence (FTND). The study was conducted with a community sample of African American and Puerto Rican young adults (N = 475; mean age = 26). Predictor variables included physiologically based psychosocial (i.e., depressive symptoms and family problems with smoking) as well as social-behavioral psychosocial (i.e., rebelliousness and partner's problems with smoking) predictors of nicotine dependence. Using multiple regression analyses, UM-CIDI-defined dependence was predicted by each of the four psychosocial variables, while FTND-defined dependence was predicted only by the social-behavioral variables. These findings bear out the disparate dimensions of nicotine dependence each measure taps. Research and clinical implications of the findings are discussed, and the study's limitations are noted.

Using an item response model to examine the nicotine dependence construct as characterized by the HONC and the mFTQ among adolescent smokers

Despite efforts to operationalize the nicotine dependence syndrome among adolescents, little is known regarding the relative severity of dependence symptoms assessed by different measures. The current study utilized a nonparametric item response model to assess the unidimensionality of the nicotine dependence construct and relative severity of dependence symptoms characterized by the Hooked on Nicotine Checklist (HONC) and the modified Fagerström Questionnaire (mFTQ) in a sample of 109 adolescent smokers (58% female) participating in a prospective investigation of smoking self-change efforts. It was hypothesized that symptoms assessed by the HONC would be associated with lower levels of nicotine dependence severity than symptoms assessed with the mFTQ. Results indicated that HONC and mFTQ items could be linked to a single latent construct. Most HONC items captured variability at the lower range and mFTQ items made discriminations at the middle and higher end of the dependence severity continuum. Findings suggest the HONC and mFTQ may provide complementary information in assessing nicotine dependence levels in adolescent regular smokers and have implications for symptoms expression in youth.

Test of measurement invariance of the FTND across demographic groups: assessment, effect size, and prediction of cessation

BACKGROUND

Measurement non-invariance of the Fagerstrom test for nicotine dependence (FTND) across demographic groups could significantly bias group comparisons and screening for recruitment into treatment and genetic studies. Here clinically meaningful bias in the FTND across European-American and African-American men and women was assessed by: (1) testing measurement invariance; (2) estimating effect sizes of non-invariance; and (3) assessing impact of adjusting for bias on the association between FTND and cessation.

METHODS

European-American and African-American current and former smokers (n=8301) were identified from a community-based telephone screening of 25,265 individuals from metropolitan Detroit, MI and St. Louis, MO. The FTND was administered to measure current dependence and lifetime dependence when smoking the most. Cessation was measured as having smoked 100 or more cigarettes but not smoked in the past 30 days.

RESULTS

Statistically significant measurement non-invariance for the FTND was found and more pronounced for lifetime than current dependence. However, the magnitude of effects appeared negligible. The largest variance in item response explained by measurement non-invariance was 3.1%. Adjusting for measurement non-invariance made no difference in the associations between nicotine dependence and quitting smoking across groups.

CONCLUSIONS

Although European-American and African-American men and women often report different scores on the FTND and have different response patterns to items on the FTND, it does not appear that such differences result from meaningful item-level measurement bias.

Nicotine dependence among African American light smokers: a comparison of three scales

Approximately 50% of African American (AA) smokers are light smokers (smoke <or=10 cigarettes a day), yet this group is understudied despite being at-risk of smoking-related death and disease. This study is a secondary analysis of data from a clinical trial that assessed the efficacy of nicotine gum and counseling for smoking cessation among African American light smokers. The purpose of the current paper was to assess nicotine dependence among participants enrolled in the clinical trial using three measures of nicotine dependence. The Cigarette Dependence Scale (CDS), the Fagerstrom Test for Nicotine Dependence Scale (FTND), and the Nicotine Dependence Syndrome Scale (NDSS) were administered to 700 participants (67% female; mean age=45 years). Exhaled carbon monoxide (CO) and serum cotinine were assessed. The CDS showed the strongest association with biochemical markers (r=0.28 for cotinine and 0.25 for CO). Factor analysis of the NDSS revealed five factors: drive, priority, tolerance, continuity, and stereotypy. Compared to those who smoked 1-5 CPD, smokers who averaged 6-10 CPD scored higher on all three dependence (p<0.001) and two biochemical measures (p<0.001), and on three of the five NDSS subscales (Drive, p<0.001; Stereotypy, p<0.01; and Tolerance, p<0.01). Given the different domains tapped by each instrument, the use of multiple measures might yield the most comprehensive assessment of nicotine dependence. Results suggest the validity of these scales for African American light smokers and point to the need for sensitivity to differential levels of nicotine dependence among subgroups of light smokers.

The Nicotine Dependence Syndrome Scale in Finnish smokers

The Nicotine Dependence Syndrome Scale (NDSS) is a new multidimensional measure of nicotine dependence. The study aim was to examine the structure and heritability of the NDSS and its associations with nicotine dependence defined by FTND and DSM-IV criteria among Finnish smokers participating in an ongoing twin-family study. Adult twin pairs concordant for smoking from the Finnish Twin Cohort Study, and their siblings and parents were interviewed. Among 1370 smokers, the sum score of the NDSS (a summary measure of dependence) correlated moderately highly with FTND score (r=0.62). Subjects in the highest NDSS sum score groups were more likely to be nicotine dependent according to DSM-IV criteria compared with those in the lowest quintile (odds ratio=36.7, 95% confidence interval 13.0-103). In exploratory factor analysis, we derived three factors, named drive/priority, stereotypy/continuity and tolerance. The drive/priority factor correlated best with FTND (r=0.54). Genetic modeling showed no differences in the genetic architecture of NDSS or FTND by gender; the overall heritability estimate for NDSS was 0.30 (95% CI 0.06-0.47), and for FTND 0.40 (95% CI 0.23-0.55). The sum score of the NDSS is moderately highly associated with DSM-IV nicotine dependence as well as FTND. These analyses indicate that the NDSS functions well in a Finnish family-based sample and provide additional validation of a new scale developed to capture complex behavioural features of nicotine dependence.

Predictive validity of four nicotine dependence measures in a college sample

BACKGROUND

The present study compared the predictive and incremental validity of four commonly used dependence measures (Diagnostic and Statistical Manual-IV [DSM-IV] nicotine dependence criteria, Fagerstrom Test for Nicotine Dependence [FTND], Hooked On Nicotine Checklist [HONC], Nicotine Dependence Syndrome Scale [NDSS]) in a first year college sample reporting light smoking patterns.

METHODS

Nicotine dependence measures were administered at the end of the first semester and follow-up smoking behavior (i.e. continued smoking, quantity, frequency, and length of abstinence) was assessed at the end of the first and second academic years.

RESULTS

Higher levels of dependence as measured by the HONC and DSM-IV predicted smoking behavior at both follow-up assessments. While higher scores on some of the NDSS factors predicted heavier smoking behavior during follow-up assessments, higher scores on other NDSS factors predicted lighter smoking behavior. The DSM-IV, NDSS-priority, and HONC measures provided some evidence for incremental validity. Higher dependence scores on all four measures were related to shorter lengths of smoking abstinence.

CONCLUSIONS

The four dependence measures were differentially related to smoking behavior outcomes in a light smoking sample. These findings suggest that nicotine dependence can predict a variety of smoking behaviors in light smokers.

Assessing tobacco dependence: a guide to measure evaluation and selection

Tobacco dependence is a key construct in tobacco research. This paper describes a construct validation approach to dependence assessment and describes key conceptual and psychometric criteria on which to evaluate putative measures of dependence. Five current dependence scales-the Fagerström Test for Nicotine Dependence; the Diagnostic and Statistical Manual of Mental Disorders (4th ed.); the Cigarette Dependence Scale; the Nicotine Dependence Syndrome Scale; and the Wisconsin Inventory of Smoking Dependence Motives-are examined with respect to these critical dimensions. Recommendations are made regarding the use of each measure.

Cardiovascular risk factors in adolescents with alcohol use disorders

Among adults, chronic alcohol dependence is associated with cardiovascular disease (CVD). While it is unlikely that adolescents with alcohol use disorders (AUDs) would exhibit CVD, they might show elevated CVD risk factors. The purpose of this study was to compare CVD risk factors in adolescents with AUDs and an adolescent reference group. Adolescents with AUDs were recruited from treatment sources and reference adolescents were recruited from the community. Information about smoking behavior, exercise, and diet were gathered from interview and self-report measures. Body mass index and blood pressure were determined by physical exam and a blood sample was drawn to measure serum cholesterol and triglycerides. Compared with the reference group, adolescents with AUDs reported significantly more smoking, were less likely to report exercising regularly, and were less likely to report eating a balanced diet. Adolescents with AUDs were not more likely to be overweight or to exhibit hypertension, and lipid levels were also not significantly elevated. These results indicated that adolescents with AUDs endorsed problematic health behaviors while not yet exhibiting the consequences of these behaviors. Interventions focusing on health behaviors in conjunction with addiction treatment might help improve long-term health outcomes in adolescents with AUDs.

Alcohol use frequency as a screen for alcohol use disorders in adolescents

While screening tools have been developed to identify adolescents likely to have alcohol use disorders (AUDs), none of the available methods are optimal for general medical settings. This study explored the sensitivity and specificity of the frequency of drinking episodes in the prior month as an initial screen for AUDs. The subjects were 219 adolescents (ages 12 through 18) systematically recruited from the community, who participated in a baseline assessment as well as 1-year, 3-year, and 5-year follow-up visits. Subjects completed a self-report form indicating their frequency of use of different substances in the month prior to the assessment. DSM-IV AUD diagnoses were determined by SCID. At baseline, 10 of 219 subjects met DSM-IV criteria for an AUD. At a threshold of 3 or more drinking episodes in the past month, the screen was 90% sensitive, correctly classifying 9 of 10 AUD cases, and 83.7% specific, correctly classifying 175 of 209 cases without AUDs. The diminishing specificity of this screen over the follow-up assessments indicated that this method may be useful for adolescents, but not for young adults. These results indicate that an assessment of the frequency of alcohol use in the prior month provides an initial screen with acceptable sensitivity and specificity for use with adolescents.

Validation of the nicotine dependence syndrome scale (NDSS): a criterion-group design contrasting chippers and regular smokers

The nicotine dependence syndrome scale (NDSS) is a new multi-dimensional measure of nicotine dependence, yielding five scores for different aspects of dependence as well as a total score. In this study, we tested the NDSS in a young adult sample (mean age=24), using an extreme-groups comparison between non-dependent smokers (chippers, n=123) and regular smokers (n=130). Scores on each NDSS subscale strongly discriminated between the groups, with the NDSS-total discriminating them almost perfectly. The subscales were generally independent discriminators, demonstrating the discriminant validity of the subscales. NDSS scales also discriminated levels of intake and dependence within the chippers group, suggesting that the scales were sensitive to individual differences even at the very low end of the dependence continuum.