Toward a comprehensive developmental model of smoking initiation and nicotine dependence

Tobacco use, trauma exposure and PTSD: a systematic review

Tobacco use remains one of the most significant preventable public health problems globally and is increasingly concentrated among vulnerable groups, including those with trauma exposure or diagnosed with PTSD. The goal of this systematic review was to update and extend previous reviews. Of the 7224 publications that met the initial criteria, 267 were included in the review. Summary topic areas include conceptual frameworks for the relation between trauma or PTSD and tobacco use; associations between trauma exposure or PTSD and tobacco use; number and type of trauma exposures and tobacco use; PTSD symptoms and tobacco use; Treatment-related studies; and the examination of causal relations. Evidence continues to indicate that individuals exposed to trauma or diagnosed with PTSD are more likely to use tobacco products, more nicotine dependent and less likely to abstain from tobacco even when provided evidence-based treatments than individuals without trauma. The most commonly cited causal association proposed was use of tobacco for self-regulation of negative affect associated with trauma. A small proportion of the studies addressed causality and mechanisms of action. Future work should incorporate methodological approaches and measures from which we can draw causal conclusions and mechanisms to support the development of viable therapeutic targets.

Toward a generalized developmental model of psychopathological liabilities and psychiatric disorders

BACKGROUND

Most psychiatric disorders are associated with several risk factors, but a few underlying psychopathological dimensions account for the common co-occurrence of disorders. If these underlying psychopathological dimensions mediate associations of the risk factors with psychiatric disorders, it would support a trans-diagnostic orientation to etiological research and treatment development.

METHOD

An analysis was performed of the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions III (NESARC-III), a US nationally representative sample of non-institutionalized civilian adults, focusing on respondents who were aged ⩾21 (n = 34 712). Structural equation modeling was used to identify the psychopathological dimensions underlying psychiatric disorders; to examine associations between risk factors, psychopathological dimensions and individual disorders; and to test whether associations of risk factors occurring earlier in life were mediated by risk factors occurring later in life.

RESULTS

A bifactor model of 13 axis I disorders provided a good fit (CFI = 0.987, TLI = 0.982, and RMSEA = 0.011) including an overall psychopathology factor as measured by all 13 disorders and 2 specific factors, one for externalizing disorders and one for fear-related disorders. A substantial proportion of the total effects of the risk factors occurring early in life were indirectly mediated through factors occurring later in life. All risk factors showed a significant total effect on the general psychopathology, externalizing and fear-related factors. Only 23 of 325 direct associations of risk factors with psychiatric disorders achieved statistical significance.

CONCLUSION

Most risk factors for psychiatric disorders are mediated through broad psychopathological dimensions. The central role of these dimensions supports trans-diagnostic etiological and intervention research.

Common Factors Underlying Diverse Responses in Alcohol Use Disorder

Objective

Interindividual variation in responses to alcohol is substantial, posing challenges for medical management and for understanding the biological underpinnings of alcohol use disorders (AUD). It is important to understand whether diverse alcohol responses such as sedation, which is predictive of risk and partly heritable, occur concurrently or independently from responses such as blackouts and withdrawal. We hypothesized that latent factors accounting for sources of variance in diverse alcohol response phenotypes could be identified in a large, deeply phenotyped sample of patients with AUD.

Methods

We factor analyzed 17 alcohol response related items from the Alcohol Dependence Scale (ADS) in 938 individuals diagnosed with AUD via structured clinical interviews. Demographic, genetic, and clinical characteristics were tested as predictors of the latent factors by multiple indicators, multiple causes analysis.

Results

The final factor solution included three alcohol response factors: Physical Symptoms, Perceptual Disturbances, and Neurobiological Effects. Both gender and genetic ancestry were identified as variables influencing alcohol response. Major depressive disorder positively predicted physical symptoms and aggression negatively predicted physical symptoms. Barratt's Impulsivity Scale total score predicted the Physical and Perceptual domains. Family history, average drinks per drinking day, and negative urgency (an impulsivity measure) predicted all three domains.

Conclusions

Diverse items from the ADS concurrently load onto three correlated alcohol response factors rather than loading independently. Genetic ancestry and clinical characteristics predicted the severity of items that define the alcohol response factors even after accounting for degree of alcohol consumption. Co‐occurring phenotypes point towards an underlying shared physiology of diverse alcohol responses.

Three common factors relevant for diverse alcohol responses are identified: Physical Symptoms, Perceptual Disturbances, and Neurobiological Effects

Alcohol response items from the Alcohol Dependence Scale concurrently load onto these three factors rather than loading independently

The three factors are correlated; patients presenting to clinical settings with a problem such as blackout are likely to experience several other problems either acutely or in the future

Association between cumulative cigarette and Waterpipe smoking and symptoms of dependence in Lebanese adults

BACKGROUND

Waterpipe and cigarette smoking dependence are becoming increasingly prevalent forms of addiction globally. This study examined whether cumulative cigarette smoking and cumulative waterpipe smoking are associated with higher dependence on both cigarettes and waterpipe.

METHODS

This cross-sectional study conducted between February and April 2020, enrolled 363 participants drawn from all Lebanese districts. The mean age was 29.51 years, 64.8% were females, and 124 (34.2%) exclusive cigarette smokers, 189 (52.1%) exclusive waterpipe smokers, and 50 (13.8%) dual smokers (waterpipe and cigarette). We used the Hooked on Nicotine Checklist (HONC) as an indicator of decreased autonomy towards nicotine, in addition to the Lebanon Waterpipe Dependence Scale-11 (LWDS11) and the Lebanese Cigarette Dependence scale (LCD). A stepwise linear regression was performed taking the HONC scores due to cigarette and waterpipe smoking, LCD and LWDS-11 scores as dependent variables.

RESULTS

The results showed that in the total sample, higher cumulative cigarette smoking (B = 0.005 with a confidence interval of 0.004, 0.006) was significantly associated with higher HONC cigarette scores, whereas higher cumulative waterpipe smoking (B = -0.006 with a confidence interval of - 0.009, - 0.002) was significantly associated with lower HONC cigarette scores. Moreover, higher cumulative waterpipe smoking (B = 0.012 with a confidence interval of 0.009,0.015) was significantly associated with higher HONC waterpipe scores. The results showed that, in both sexes, higher cumulative cigarette smoking was associated with higher HONC cigarette scores and lower HONC waterpipe scores. Furthermore, higher cumulative waterpipe smoking was significantly associated with higher HONC waterpipe scores in both sexes.

CONCLUSION

Our study supports the fact that heavy nicotine consumption, related to both the increased frequency and smoking duration, can increase the risk of dependence. It raises the need for strategic plans to minimize and discourage the use of nicotine products in Lebanese community settings.

Associations of Adverse Childhood Experiences to Smoking and Nicotine Dependence Among Adolescent Psychiatric Inpatients

Our aim was to examine whether ACEs associate to regular smoking and nicotine dependence (ND) among 508 psychiatric inpatients aged 13-17 years. Adolescents were interviewed using the Schedule for Affective Disorder and Schizophrenia for School-Age Children and the European Addiction Severity Index -instruments. ND was measured with the modified Fagerström Tolerance Questionnaire. In girls, all violent ACEs (domestic violence, physical abuse at home, sexual abuse) were related to regular smoking and some family-related ACEs (parental divorce and substance use problems) both to regular smoking and ND. After controlling for covariates, girls with parental substance use had an increased likelihood for being a regular smoker and having ND. Greater number of ACEs in girls indicated higher level of ND. Corresponding associations were not observed in boys. Our findings suggest that girls after experiencing ACEs are more prone to becoming smokers and developing ND already in adolescence compared to boys.

Neurofunctional Domains Derived From Deep Behavioral Phenotyping in Alcohol Use Disorder

OBJECTIVE

The authors evaluated whether three neurofunctional domains proposed to be critical in the addiction cycle, namely, incentive salience, negative emotionality, and executive function, could be identified through factor analysis of a deeply phenotyped clinical sample.

METHODS

Clinical, behavioral, and self-report measures of addiction, personality, cognition, behavior, and exposure to early-life stress were collected as part of a screening and natural history study of alcohol use disorders in 454 individuals representing the spectrum of alcohol use and use disorders. The multiple indicators, multiple causes (MIMIC) approach was used to identify significant predictors of the latent factors identified by the analysis.

RESULTS

The results showed significant support for both three- and four-factor models to explain biobehavioral variation in this sample of participants with alcohol use disorder and control subjects, but the three-factor model had the best fit indices. With some nuances, including cross-correlation (lack of independence) between the three factors, the factors corresponded to incentive salience, negative emotionality, and executive function (executive control). The MIMIC model revealed that both exposure to early-life stress and sociodemographic variables predicted these factors.

CONCLUSIONS

These findings suggest that three correlated neurofunctional domains are relevant for alcohol use disorder. More work is required to validate and standardize measures of neurofunctional domains in alcohol use disorder, to extend these findings to other addictive disorders, and to relate variations in them to predisposition, clinical course, treatment response, neuroimaging data, and other psychophysical indicators.

Is Cannabis Use Associated With Increased Risk of Cigarette Smoking Initiation, Persistence, and Relapse? Longitudinal Data From a Representative Sample of US Adults

OBJECTIVE

The current study prospectively investigated the relationship between cannabis use and cigarette smoking initiation, persistence, and relapse during a 3-year period among adults in the United States.

METHODS

Analyses included respondents who completed Waves 1 (2001-2002) and 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions and responded to questions about cannabis use and smoking status (n = 34,639). Multivariable logistic regression models were used to calculate the odds of cigarette use at Wave 2 among Wave 1 daily smokers, nondaily smokers, former smokers, and nonsmokers by Wave 1 cannabis use.

RESULTS

In unadjusted analyses, Wave 1 cannabis use was associated with increased odds of Wave 2 daily and nondaily smoking for Wave 1 nonsmokers (daily OR = 2.90; 95% CI, 2.10-4.00; nondaily OR = 4.45; 95% CI, 3.97-5.00) and Wave 2 relapse to daily and nondaily smoking for Wave 1 former smokers (daily OR = 4.18, 95% CI, 3.01-5.81; nondaily OR = 5.24; 95% CI, 3.74-7.34). Wave 1 cannabis use was associated with decreased odds of Wave 2 smoking cessation for Wave 1 daily cigarette smokers (OR = 0.57; 95% CI, 0.51-0.64). The associations remained significant for daily smoking initiation (OR = 1.43; 95% CI, 1.06-1.93), daily smoking relapse (OR = 1.47; 95% CI, 1.00-2.16), and smoking cessation (OR = 0.77; 95% CI, 0.69-0.87) after adjusting for demographics and psychiatric disorders. Associations remained significant for nondaily smoking initiation (OR = 1.85; 95% CI, 1.59-2.16) and nondaily smoking relapse (OR = 1.63; 95% CI, 1.05-2.54) after adjusting for these covariates as well as for alcohol and substance use disorders.

CONCLUSIONS

Cannabis use was associated with increased initiation of, persistence of, and relapse to cigarette smoking. Additional attention to cannabis use in tobacco control efforts and in clinical settings aimed at reducing cigarette smoking and smoking-related negative consequences may be warranted.

Clustering of treatment-seeking women with gambling disorder

BACKGROUND

The prevalence of gambling disorder (GD) in women has increased, but, to date, few studies have explored the features of clinical GD subtypes in female samples.

AIMS

The aim of this study is to identify empirical clusters based on clinical/sociodemographic variables in a sample of treatment-seeking women with GD.

METHODS

Agglomerative hierarchical clustering was applied to a sample of n = 280 patients, using sociodemographic variables, psychopathology, and personality traits as indicators for the grouping procedure.

RESULTS

Three mutually exclusive groups were obtained: (a) Cluster 1 (highly dysfunctional; n = 82, 29.3%) endorsed the highest levels in gambling severity, comorbid psychopathology, novelty seeking, harm avoidance, and self-transcendence, and the lowest scores in self-directedness and cooperativeness; (b) Cluster 2 (dysfunctional; n = 142, 50.7%) achieved medium mean scores in gambling severity and psychopathological symptoms; and (c) Cluster 3 (functional; n = 56, 20.0%) obtained the lowest mean scores in gambling severity and in psychopathology, and a personality profile characterized by low levels in novelty seeking, harm avoidance, and self-transcendence, and the highest levels in self-directedness and cooperativeness.

DISCUSSION AND CONCLUSIONS

This study sheds light on the clinical heterogeneity of women suffering from GD. Identifying the differing features of women with GD is vital to developing prevention programs and personalized treatment protocols for this overlooked population.

A 10-year observational study on the trends and determinants of smoking status

INTRODUCTION

Most studies on motivation and intention to quit smoking have been conducted among adolescents and young adults but little is known regarding middle-aged subjects. We aimed to assess the trends and determinants of smoking status in a population-based cohort.

METHOD

Observational, prospective study with a first mean follow-up at 5.6 years and a second at 10.9 years. Data from 3999 participants (49.2% women, aged 35-75 years) living in Lausanne (Switzerland).

RESULTS

Baseline prevalence of never, former and current smokers was 41.3, 34.3 and 24.3%, respectively. During the study period, more than 90% of never and former and almost 60% of current smokers at baseline retained their status after 10.9 years. Among 973 current smokers, 216 (22.2%) had quit for at least 5 years. Multivariable analysis showed increasing age to be positively associated with quitting (p-value for trend <0.001). Among 1373 former smokers, 149 (10.9%) had relapsed; increasing age (p-value for trend <0.001) was negatively associated and family history of lung disease was positively associated with relapse [OR and 95% CI: 1.53 (1.06-2.21)]. Among 1653 never smokers, 128 (7.7%) initiated smoking; Male gender [1.46 (1.01-2.12)] and living in coupled relationship [0.66 (0.45-0.97)] were associated with smoking initiation.

CONCLUSION

Most middle-aged never and former smokers did not change their status with time, while 22.2% of current smokers sustained quitting. This is encouraging and could be improved with adequate supportive methods. In comparison to available data, this study confirms the difficult task of identifying subjects at risk of a negative behavioral change.

Smoking behaviour among children and adolescents in Germany. Results of the cross-sectional KiGGS Wave 2 study and trends

Smoking behaviour during adolescence is particularly important because the pattern of a person's tobacco consumption in later life usually is established in this period. According to recent data from KiGGS Wave 2, 7.4% of 11 to 17 year-old girls and 7.0% of boys of the same age smoke at least occasionally. The proportion of children and adolescents who smoke increases with age. Adolescents with high socioeconomic status smoke less frequently than their peers with medium or low socioeconomic status. Since the beginning of the first KiGGS study (2003-2006), the proportion of 11 to 17 year-olds who smoke fell from 21.4% to 12.4% (2009-2012) and has recently dropped to 7.2% (2014-2017). Despite considerable progress, however, there is still potential to improve tobacco prevention policy in Germany for example using taxation and advertising bans.

A longitudinal study of the reciprocal relationship between ever smoking and urgency in early adolescence

BACKGROUND

Among early adolescents in the United States (U.S.), the prevalence of cigarette smoking is at its lowest level in recent decades. Nonetheless, given the risks of smoking in early development, it remains critically important to study both risk factors for smoking and risks from smoking. This longitudinal study with U.S. early adolescents examines smoking initiation and tests a model of reciprocal prediction between ever smoking and the personality trait of urgency (i.e., mood-based impulsivity), a trait that increases risk for multiple forms of dysfunction.

METHODS

Participants (n=1906; 90% 10-11 years old, 50% female, 39% racial minorities at baseline) completed questionnaires 1-2 times per year starting in 5th grade and ending in 9th grade. Structural equation modeling allowed tests of bidirectional relationships between ever smoking and urgency controlling for pubertal status and negative affect at each wave.

RESULTS

Incidence of ever smoking increased from 5% to 27% over time, with current smoking around 5% at the last wave. Urgency at each wave predicted ever smoking at the next wave above and beyond covariates and prior smoking (all p<0.01). Likewise, with one exception, ever smoking predicted an increase in urgency at the subsequent wave above and beyond covariates and prior urgency (all p<0.05).

CONCLUSION

Results show that risk for smoking increases with higher levels of urgency and urgency increases secondary to engagement in smoking. Future work should therefore explore urgency as a point of prevention for smoking and smoking cessation as a means to mitigate mood-based impulsivity.

A review of epidemiologic research on smoking behavior among persons with alcohol and illicit substance use disorders

Persons with alcohol use disorders (AUDs) and substance use disorders (SUDs) appear to be heavily affected by cigarette smoking. In order to address the consequences of smoking in this population, an understanding of the current state of knowledge is needed. Epidemiologic research provides the opportunity to obtain detailed information on smoking behaviors in large community samples. The aim of this paper was to synthesize the epidemiologic evidence on smoking among persons with AUDs/SUDs and suggest directions for future research. Literature searches of Medline and PubMed were used to identify articles and additional articles were elicited from publication reference lists. To be included in the review, papers had to be published in English, analyze epidemiologic data, and examine an aspect of smoking behavior in persons with AUDs/SUDs. Twenty-nine studies met inclusion criteria and were included in the review. In summary, epidemiologic evidence to date suggests greater lifetime and current smoking, nicotine dependence, and non-cigarette tobacco use; lower quitting; and differences in quit attempts and withdrawal symptoms for persons with AUDs/SUDs compared to other people. Most studies examined nationally representative data and were conducted on persons in the United States and Australia. Few publications examined outcomes by demographics (e.g., gender, age) but these studies suggested that specific patterns differ by demographic subgroups. More research is needed on persons with AUDs/SUDs in order to develop the most effective public health and clinical interventions to reduce smoking behaviors, improve cessation outcomes, and reduce the harmful consequences of smoking for those with AUDs/SUDs.

Evaluating the effectiveness of the SMART contract-signing strategy in reducing the growth of Swedish Adolescents' substance use and problem behaviors

BACKGROUND

In 2013, around 40 % of the schools in Sweden had structured programs to prevent tobacco and alcohol debut in compulsory school. There has unfortunately been a lack of scientific evidence to support most of the prevention methods focusing on primary prevention in schools in Sweden. The aim and purpose of the present study is to evaluate the effectiveness of the Non-Governmental Organization SMART contract-signing strategy in reducing the growth of youth substance use and other problem behaviors amongst Swedish adolescents.

METHODS

Students from five schools in a medium-sized Swedish municipality were surveyed in three waves from 7(th) to 9(th) grade of compulsory school. We used General Linear Model (GLM) repeated-measures ANOVA to test if the outcome measures smoking, use of snus and alcohol, drunkenness, delinquency, and bullying significantly changed different amounts over time in groups that had participated in the SMART program for long time, a short time, sporadically- or not at all. Groups were compared on demographic background variables, and outcome measures were assessed on all measurement occasions by a one-way ANOVA. The magnitude of group differences at the end of the study was estimated according to Cohen's d.

RESULTS

Number of years with a contract has an effect on the levels of self-reported youth problems in 9(th) grade. We found small to medium-sized differences in measured outcomes between students who participated in the program for the longest period of time, 5 years, and who participated for the shortest time, 0-2 years.

CONCLUSION

Findings suggests that the SMART program has preventive effects on adolescent substance use.

Towards a comprehensive developmental model of pathological gambling

AIMS

To develop a comprehensive etiological model of pathological gambling (PG) for men and women based on Kendler's development model for major depression, which groups 22 risk factors into five developmental tiers (childhood, early adolescence, late adolescence, adulthood, last year). We hypothesized that: (1) all risk factors would be associated significantly with PG; (2) the effect of risk factors in earlier developmental tiers would be accounted for by later tiers; and (3) there would be few gender differences.

DESIGN

Separate models were built for life-time gambling and for 12-month PG among those with life-time gambling.

SETTING

Data drawn from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) in the United States.

PARTICIPANTS

Respondents to NESARC wave 1 (n = 43 093).

MEASUREMENTS

Odds ratios (OR) and adjusted OR (AOR) were used to determine the risk factors in multiple models.

FINDINGS

After mutually adjusting for other risk factors, family history of substance use disorders (SUD) or depression, impulsivity, childhood-onset anxiety, number of Axis I and II disorders, history of SUD, nicotine dependence, social deviance in adulthood, and past-year history of SUD, nicotine dependence and independent stressful life events predicted life-time gambling. Past history of PG, number of personality disorders and past year nicotine dependence were associated significantly with 12-month PG (all P < 0.05). There were no significant gender interactions for 12-month PG.

CONCLUSIONS

A modification of Kendler's model for major depression provides a foundation for the development of a comprehensive developmental model of pathological gambling. Life-time history of gambling and 12-month pathological gambling appear to be determined by risk factors in several developmental levels, with the effect of earlier development tiers accounted for by later ones.

Probability and predictors of treatment-seeking for substance use disorders in the U.S

BACKGROUND

Little is known about to what extent treatment-seeking behavior varies across individuals with alcohol abuse, alcohol dependence, drug abuse, and drug dependence.

METHODS

The sample included respondents from the Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) who reported a lifetime diagnosis alcohol abuse, alcohol dependence, drug abuse, or drug dependence. Unadjusted and adjusted hazard ratios are presented for time to first treatment contact by sociodemographic characteristics and comorbid psychiatric disorders. Individuals were censored from the analyses if their condition remitted prior to seeking treatment.

RESULTS

In the first year after disorder onset, rates of treatment-seeking were 13% for drug dependence, 5% for alcohol dependence, 2% for drug abuse, and 1% for alcohol abuse. The lifetime probability of seeking treatment among individuals who did not remit was also highest for drug dependence (90%), followed by drug abuse (60%), alcohol dependence (54%), and alcohol abuse (16%). Having had previous treatment contact for a substance use disorder (SUD) increased the probability of seeking treatment for another SUD. By contrast, an early age of SUD onset, belonging to an older cohort, and a higher level of education decreased the lifetime probability of treatment contact for SUD. The role of comorbid mental disorders was more complex, with some disorders increasing and other decreasing the probability of seeking treatment.

CONCLUSIONS

Given high rates of SUD and their substantial health and economic burden, these patterns suggest the need for innovative approaches to increase treatment access for individuals with SUD.