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The psychometric properties of the modified Symptom Severity Index were investigated to assess the relationships among dimensions of pain in temporomandibular disorders (TMD). The 15-item instrument is composed of ordinal scales assessing five pain dimensions (intensity, frequency, duration, unpleasantness and difficulty to endure) as experienced in three locations (temple, temporomandibular joint (TMJ), masseter). In 108 closed-lock subjects, Cronbach's alpha was used to measure internal consistency resulting in 31 of the 105 pair-wise comparisons >=0·71. Multilevel exploratory factor analysis was used to assess dimensionality between items. Two factors emerged, termed temple pain and jaw pain. The jaw pain factor comprised the TMJ and masseter locations, indicating that subjects did not differentiate between these two locations. With further analysis, the jaw pain factor could be separated into temporal aspects of pain (frequency, duration) and affective dimensions (intensity, unpleasantness, endurability). Temple pain could not be further reduced; this may have been influenced by concurrent orofacial pains such as headache. Internal consistency was high, with alphas >=0·92 for scales associated with all factors. Excellent test-retest reliability was found for repeat testing at 2-48 h in 55 subjects (Intra-class correlation coefficients = 0·97, 95%CI 0·96-0·99). In conclusion, the modified Symptom Severity Index has excellent psychometric properties for use as an instrument to measure pain in subjects with TMD. The most important characteristic of this pain is location, while the temporal dimensions are important for jaw pain. Further research is needed to confirm these findings and assess relationships between dimensions of pain as experienced in other chronic pain disorders. [ABSTRACT FROM AUTHOR]

Introduction: Multinational treatment guidelines support providing cognitive remediation to people recently diagnosed with schizophrenia, but the feasibility of implementing the treatment on a large scale is less well understood., Methods: This study took place between 2019 and 2023 at 14 clinics within a large network of programs providing early intervention services to people aged 16-30 experiencing nonaffective psychosis. Clinics were randomly assigned to deliver cognitive remediation as twice-weekly clinician-led groups (N = 5), cognitive remediation as once-weekly clinician-led groups with homework (N = 6), or treatment as usual (N = 3). All clinics screened for cognitive health need to guide treatment planning. Clinical teams (N = 11) received training to provide cognitive remediation. Program evaluation data were analysed for feasibility and acceptability., Results: Screening for cognitive health needs was completed on 77% of the 1193 participants enrolled at the 11 clinics offering cognitive remediation. Clinicians identified cognitive difficulties in 53.9% (n = 496) of screened participants and referred 27% (n = 134) of these participants to cognitive remediation. Of referred participants, 77.6% (n = 104) initiated treatment, and n = 41 completed the treatment. The rate of referral was nearly double, and treatment initiation was significantly higher at programs delivering once-weekly (84.3%) than twice-weekly (64.4%) treatment but the difference in the rate of treatment completion was statistically nonsignificant. Satisfaction among treatment completers was high., Conclusions: Referrals to cognitive remediation required systemic support of a feasible cognitive health screening process. About a quarter of people with clinician-identified cognitive health needs were referred to cognitive remediation. Feasibility data suggest a flexible model of treatment delivery may facilitate implementation in this service setting., (© 2024 John Wiley & Sons Australia, Ltd.)

Aim: We sought to explore the complex phenomenological overlap between obsessive and compulsive symptoms (OCS), and attenuated positive symptoms among 156 young people at clinical high-risk (CHR) for psychosis., Methods: In order to explore the hypothesis that OCS of an implausible nature might optimally predict future transition to syndromal psychosis, ideas associated with obsessive and compulsive experiences elicited by clinical measures were thematically categorized as "plausible" or "implausible.", Results: While OCS were found to be common in our CHR sample, we did not find that implausible OCS themes were predictive of conversion., Conclusion: Given the absence of qualitative differences between OCS and early psychotic symptoms, we propose that clinicians encountering adolescent or young adult patients with new-onset OCD or OCS in the past year should monitor such symptoms for a minimum of 2 years to assess for the possible emergence of psychosis., (© 2020 John Wiley & Sons Australia, Ltd.)

Aims: To conduct a systematic review and meta-analysis of studies in order to estimate the effect of US medical marijuana laws (MMLs) on past-month marijuana use prevalence among adolescents., Methods: A total of 2999 papers from 17 literature sources were screened systematically. Eleven studies, developed from four ongoing large national surveys, were meta-analyzed. Estimates of MML effects on any past-month marijuana use prevalence from included studies were obtained from comparisons of pre-post MML changes in MML states to changes in non-MML states over comparable time-periods. These estimates were standardized and entered into a meta-analysis model with fixed-effects for each study. Heterogeneity among the study estimates by national data survey was tested with an omnibus F-test. Estimates of effects on additional marijuana outcomes, of MML provisions (e.g. dispensaries) and among demographic subgroups were abstracted and summarized. Key methodological and modeling characteristics were also described. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed., Results: None of the 11 studies found significant estimates of pre-post MML changes compared with contemporaneous changes in non-MML states for marijuana use prevalence among adolescents. The meta-analysis yielded a non-significant pooled estimate (standardized mean difference) of -0.003 (95% confidence interval = -0.012, +0.007). Four studies compared MML with non-MML states on pre-MML differences and all found higher rates of past-month marijuana use in MML states pre-MML passage. Additional tests of specific MML provisions, of MML effects on additional marijuana outcomes and among subgroups generally yielded non-significant results, although limited heterogeneity may warrant further study., Conclusions: Synthesis of the current evidence does not support the hypothesis that US medical marijuana laws (MMLs) until 2014 have led to increases in adolescent marijuana use prevalence. Limited heterogeneity exists among estimates of effects of MMLs on other patterns of marijuana use, of effects within particular population subgroups and of effects of specific MML provisions., (© 2018 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Background and Aims: While cigarette smoking has declined over time, it is not known whether this decline has occurred similarly among individuals with substance use disorders (SUDs) in the United States (US). The current study estimated trends in smoking from 2002 to 2014 among US individuals with and without SUDs., Design: Linear time trends of current smoking prevalence were assessed using logistic regression models., Setting: United States; data were drawn from the 2002 to 2014 National Household Survey on Drug Use (NSDUH), an annual US cross-sectional study., Participants: A representative, population-based sample of US individuals age 12 yeas and older (total analytical population: n = 723 283)., Measurements: Past-month current smoking was defined as having smoked at least 100 lifetime cigarettes and reporting smoking part or all of at least one cigarette during the past 30 days. Respondents were classified as having any SUD if they met criteria for abuse or dependence for one or more of the following illicit drugs: cannabis, hallucinogens, inhalants, tranquilizers, cocaine, heroin, pain relievers, simulants and sedatives. A second SUD variable included all drugs listed above excluding cannabis use disorder (CUD). An additional variable included respondents who met criteria for cannabis abuse or dependence., Findings: Among those with any SUD, the prevalence of smoking did not change from 2002 to 2014 (P = 0.08). However, when CUDs were separated from other SUDs, a significant increase in prevalence of smoking was observed among those with SUDs excluding CUDs (P < 0.001), while smoking decreased among those with CUDs (P < 0.001). Smoking declined among those without SUDs (P < 0.001). In 2014, smoking remained significantly more common among those with any SUD (55.48%), SUDs excluding CUDs (63.34%) and CUDs (51.34%) compared with those without these respective disorders (18.16, 18.55 and 18.64%; P < 0.001)., Conclusions: The prevalence of cigarette smoking in the United States increased from 2002 to 2014 among people with substance use disorders (SUDs) excluding cannabis use disorders (CUDs) and declined among those with CUDs and without SUDs. In 2014, the prevalence of smoking was multifold higher among those with SUDs, including CUDs, compared with those without SUDs., (© 2017 Society for the Study of Addiction.)

Aims: To evaluate relationships between measures of cognitive functioning and alcohol or drug use among adults (≥ 18 years) in the US general population., Design: Two cognitive scales were created based on dimensionality and reliability of self-reported Executive Function Index items. Relationships between the two scales and validators were evaluated. Associations between the cognitive scales and past-year frequency of alcohol or drug use were estimated with adjusted odds ratios (aOR)., Setting: United States, using the 2012-13 National Epidemiologic Survey on Alcohol and Related Conditions-III, a nationally representative adult sample selected by multi-stage probability sampling., Participants: 36 085 respondents., Measurements: Past-year substance use outcome variables categorized binge drinking, marijuana, cocaine, opioid, sedative/tranquilizer and stimulant use as frequent (at least weekly to daily), infrequent (any to two to three times/month) or no use, assessed by the Alcohol Use Disorder and Associated Disabilities Interview Schedule-5. Key predictors were the two cognitive scales. Construct validators included education and functional impairment. Covariates included age, gender, income and race/ethnicity., Findings: Nine cognitive items fitted a two-factor model (comparative fit index = 0.973): attention (five items) and executive functioning (four items). Both scales were associated positively with higher education (Ps < 0.001) and negatively with functional impairment (Ps < 0.001), demonstrating construct validity. Poorer attention was associated with frequent and infrequent binge drinking and use of drugs [aOR range = 1.07 (binge drinking) to 1.72 (stimulants), Ps ≤ 0.01]. Poorer executive functioning was associated with frequent binge drinking and use of drugs [aOR range = 1.22 (binge drinking) to 2.03 (cocaine), Ps < 0.001] and infrequent use of all drugs [aOR range = 1.19 (marijuana) to 1.63 (cocaine), Ps < 0.001]., Conclusions: Impairments in attention and executive functioning are positively associated with substance use in the US general population., (© 2017 Society for the Study of Addiction.)

Background: Heavy alcohol consumption can be harmful, particularly for individuals with HIV. There is substantial variability in response to interventions that aim to reduce drinking. Neighborhood drinking norms may explain some of this variability among HIV-infected patients. Therefore, we investigated whether neighborhood-level drinking norms modified response to alcohol intervention among HIV-infected heavy drinkers., Methods: Heavily-drinking HIV comprehensive care patients (n = 230) completed 1 of 3 brief alcohol interventions (an educational intervention, a motivational interviewing [MI] intervention, or an MI intervention with a technological enhancement called HealthCall). Drinking was reported at baseline and end of treatment (60 days). Neighborhood-level drinking norms were obtained from a separate general population study., Results: Patients' reductions in drinks per drinking day in response to MI (as compared with the educational control) were more pronounced in neighborhoods with more permissive drinking norms. In contrast, patients' reductions in drinks per drinking day in response to MI plus HealthCall did not significantly vary between neighborhoods with different drinking norms. Norms did not evidence significant interactions with intervention condition for 3 other exploratory drinking outcomes (drinking frequency, binge frequency, and maximum quantity)., Conclusions: Neighborhood-level drinking norms help explain differential response to an alcohol MI intervention among HIV-infected patients. This study suggests the utility of considering neighborhood context as an effect modifier of alcohol interventions., (Copyright © 2016 by the Research Society on Alcoholism.)

Background and Aims: Persistent cases of alcohol and nicotine dependence are associated with considerable morbidity and mortality, and are predicted by childhood maltreatment and personality disorders. Our aim was to test whether personality disorders (individually or conjointly) mediate the relationship between childhood maltreatment and the persistence of dependence., Design: Personality disorders, modeled dimensionally, were tested as mediators of the relationship between childhood maltreatment and the 3-year persistence of alcohol and nicotine dependence in participants in the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) who had current alcohol and nicotine dependence in their baseline interview. Individual personality disorders were assessed in separate models. Then, those that were significant were examined jointly in multiple mediator models to determine their total and unique effects., Setting: A large, nationally representative US survey., Participants: Participants ≥ 18 years who completed baseline and 3-year follow-up NESARC interviews who had baseline alcohol dependence (n = 1172; 68% male) or nicotine dependence (n = 4017; 52.9% male)., Measurements: Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS-IV) measures of childhood maltreatment, personality disorders and alcohol/nicotine dependence., Findings: Individual models indicated that many personality disorders mediated the relationship between childhood maltreatment and the 3-year persistence of alcohol and nicotine dependence (each explaining 6-46% of the total effect, Ps < 0.05). In multiple mediator models, borderline and antisocial symptoms remained significant mediators, each explaining 20-37% of the total effect (Ps < 0.01)., Conclusions: Personality disorder symptoms (especially borderline and antisocial) help explain the association between childhood maltreatment and persistent alcohol and nicotine dependence., (© 2016 Society for the Study of Addiction.)

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., (© 2015 Society for the Study of Addiction.)

Childhood adversity and genetic variant ADH1B-rs1229984 have each been shown to influence heavy alcohol consumption and disorders. However, little is known about how these factors jointly influence these outcomes. We assessed the main and additive interactive effects of childhood adversity (abuse, neglect and parental divorce) and the ADH1B-rs1229984 on the quantitative phenotypes 'maximum drinks in a day' (Maxdrinks) and DSM-Alcohol Use Disorder (AUD) severity, adjusting for demographic variables, in an Israeli sample of adult household residents (n = 1143) evaluated between 2007 and 2009. Childhood adversity and absence of the protective ADH1B-rs1229984 A allele were associated with greater mean Maxdrinks (mean differences: 1.50; 1.13, respectively) and AUD severity (mean ratios: 0.71; 0.27, respectively). In addition, childhood adversity moderated the ADH1B-rs1229984 effect on Maxdrinks (P < 0.01) and AUD severity (P < 0.05), in that there was a stronger effect of ADH1B-rs1229984 genotype on Maxdrinks and AUD severity among those who had experienced childhood adversity compared with those who had not. ADH1B-rs1229984 impacts alcohol metabolism. Therefore, among those at risk for greater consumption, e.g. those who experienced childhood adversity, ADH1B-rs1229984 appears to have a stronger effect on alcohol consumption and consequently on risk for AUD symptom severity. Evidence for the interaction of genetic vulnerability and early life adversity on alcohol-related phenotypes provides further insight into the complex relationships between genetic and environmental risk factors., (© 2013 Society for the Study of Addiction.)

Aims: To examine the inter-relationships between cigarette consumption and DSM-IV nicotine dependence (ND) criteria from smoking onset in adolescence up to 7 years later, adjusting for alcohol consumption and DSM-IV alcohol dependence (AD) criteria., Design: A cohort drawn from grades 6-10 in an urban school system was interviewed five times at 6-month intervals (waves 1-5) and 4.5 years later (wave 6). A parent was interviewed three times., Setting: Chicago, Illinois., Participants: Recent smokers (n = 409)., Measurements: Structured household interviews ascertained number of cigarettes smoked, DSM-IV ND symptoms, drinks consumed, DSM-IV AD symptoms, and selected covariates. Reciprocal prospective associations between number of cigarettes smoked and ND criteria, controlling for time-varying alcohol consumption and dependence criteria, were examined with cross-lagged models., Findings: Reciprocal associations between number of cigarettes smoked and ND criteria were both significant. Cigarette consumption had stronger associations with later ND [β = 0.25, 95% confidence interval (CI) = 0.17-0.32] than dependence had with later cigarette consumption (β = 0.09, 95% CI = 0.01-0.16). Alcohol and cigarette consumption influenced each other; AD scores were associated with later ND scores but not the reverse. Reports of pleasant initial experiences from smoking were associated positively with cigarette consumption and ND the first year after smoking onset; later smoking onset was negatively associated with cigarette consumption the seventh year after onset; parental ND predicted cigarette consumption and ND throughout., Conclusions: In adolescent smokers, higher cigarette consumption predicts later severity of DSM-IV nicotine dependence more than the reverse. Smoking and drinking also influence each other mutually over time., (© 2014 Society for the Study of Addiction.)

Background: Little is known about the relationship between stressful life events and alcohol craving in the general population, and whether a history of childhood maltreatment sensitizes individuals to crave alcohol after adult stressors., Methods: Participants were 22,147 past-year drinkers from Wave 2 (2004 to 2005) of the National Epidemiologic Survey on Alcohol and Related Conditions. A structured, face-to-face interview assessed past-year stressful life events, alcohol craving, and history of childhood maltreatment. Logistic regression was used to generate adjusted odds ratios (aOR) to evaluate the relationship between stressful life events and craving, adjusting for demographic characteristics and parental history of alcoholism. Interaction between stressful life events and childhood maltreatment was also assessed., Results: Compared to participants with no stressful life events, those with ≥ 3 events had increased odds of moderate alcohol craving (aOR = 3.15 [95% CI = 2.30 to 4.33]) and severe craving (aOR = 8.47 [95% CI = 4.78 to 15.01]). Stressful life events and childhood maltreatment interacted in predicting severe craving (p = 0.017); those with ≥ 3 events were at higher risk of craving if they had been exposed to childhood maltreatment., Conclusions: A direct relationship between stressful life events and risk of alcohol craving was observed. Further, history of childhood maltreatment increased the salience of stressful life events in adulthood. Future studies should examine the role of psychiatric comorbidity in more complex models of stress sensitization and alcohol craving., (Copyright © 2014 by the Research Society on Alcoholism.)

Background and Aims: Alcohol and nicotine dependence are associated with considerable morbidity and mortality, especially when cases are persistent. The risk for alcohol and nicotine dependence is increased by childhood maltreatment. However, the influence of childhood maltreatment on dependence course is unknown, and is evaluated in the current study., Design: Physical, sexual and emotional abuse, and physical and emotional neglect, were evaluated as predictors of persistent alcohol and nicotine dependence over 3 years of follow-up, with and without control for other childhood adversities., Setting: National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)., Participants: NESARC participants completing baseline and follow-up who met criteria at baseline for past-year alcohol dependence (n = 1172) and nicotine dependence (n = 4017)., Measurements: Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS) measures of alcohol/nicotine dependence, childhood maltreatment and other adverse childhood experiences (e.g. parental divorce)., Findings: Controlling for demographics only, physical, sexual and emotional abuse and physical neglect predicted 3-year persistence of alcohol dependence [adjusted odds ratio (AOR) = 1.50-2.99; 95% CI = 1.04-4.68] and nicotine dependence (AOR = 1.37-1.74; 95% CI = 1.13-2.11). With other childhood adversities also controlled, maltreatment types remained predictive for alcohol persistence (AOR = 1.53-3.02; 95% CI = 1.07-4.71) and nicotine persistence (AOR = 1.35-1.72; 95% CI = 1.11-2.09). Further, a greater number of maltreatment types incrementally influenced persistence risk (AOR = 1.19-1.36; 95% CI = 1.11-1.56)., Conclusions: A history of childhood maltreatment predicts persistent adult alcohol and nicotine dependence. This association, robust to control for other childhood adversities, suggests that maltreatment (rather than a generally difficult childhood) affects the course of dependence., (© 2014 Society for the Study of Addiction.)

Background: Suicide-related ideation and behaviors (SRIB) are associated with both alcohol disorders and major depressive disorder (MDD). The objective of this study was to evaluate the relationship of alcohol dependence (AD) and major depression to the risk for lifetime SRIB., Methods: Data from a community-based sample of 1,237 adult Israeli lifetime drinkers assessed with reliable diagnostic measures were analyzed using logistic regression., Results: Lifetime SRIB was reported in 4.7% and was more prevalent among participants with AD (9.0%) than among those without AD (4.1%); p-value = 0.01. Although both AD and major depression were associated with SRIB (AD: OR 2.2, 95% CI 1.1 to 4.4; MDD: OR 11.4, 95% CI = 6.4 to 20.4), joint analysis showed that AD without MDD increased risk for SRIB as compared to those without AD or MDD (OR 3.1, 95% CI 1.1 to 9.1), but AD did not increase risk among those with MDD (OR 1.1, 95% CI 0.4 to 2.7). Among those with AD, the severity of subclinical depressive symptoms was associated with increased SRIB., Conclusions: These findings show that AD increases risk for SRIB among individuals without a history of major depression. Suicidal tendencies may be undetected and underdiagnosed in this group because of the absence of major depression and therefore left untreated. These findings should be considered when adopting suicide prevention or treatment strategies for this high-risk subpopulation., (Copyright © 2013 by the Research Society on Alcoholism.)

Aims: To develop a comprehensive risk-factor model of cannabis use disorders (CUD) based on Kendler's development model for major depression., Design: Risk factors were divided into five developmental tiers based on Kendler's model of depression (childhood, early adolescence, late adolescence, adulthood, past year). Hierarchical logistic regression models were used to examine the independent contribution of each risk factor. Separate models were built to predict the lifetime risk of cannabis use and the risk of CUD among those with a history of lifetime risk of cannabis use., Setting: Data were drawn from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) in the United States., Participants: Participants consisted of wave 2 of the NESARC (n = 34 653)., Measurements: Odds ratios (OR), Adjusted OR (AOR) and confidence intervals (95% CI) were used to determine the risk factors in each tier and with multiple models., Findings: After mutually adjusting for the effect of other risk factors, lifetime history of drug use disorder (AOR = 4.78, 95% CI = 1.53-14.91), past year alcohol use disorders (AOR = 6.55, 95% CI = 2.54-16.89) and independent (AOR = 1.57, 95% CI = 1.15-2.14) and dependent (AOR = 1.25, 95% CI = 1.01-1.55) stressful life events predicted lifetime cannabis use. Impulsivity (AOR = 2.18, 95% CI = 1.34-3.53), past year alcohol use disorders (AOR = 4.09, 95% CI = 2.29-7.31), greater number of Axis I disorders (AOR = 1.56, 95% CI = 1.01-2.40) and social deviance (AOR = 1.19, 95% CI = 1.08-1.32) independently increased the risk of the development of CUD, whereas religious service attendance (AOR = 0.50, 95% CI = 0.30-0.85) decreased this risk. In both models, the effect of earlier development tiers was mediated by more proximal ones. There were few gender differences in both models., Conclusions: A modification of Kendler's risk factor model for major depression which stratifies risk factors into five groups (childhood, early adolescence, late adolescence, adulthood, past year) provides a useful foundation for a comprehensive developmental model of cannabis use and cannabis use disorders., (© 2013 Society for the Study of Addiction.)

Background: Alcohol dependence is more prevalent among those with any one of several anxiety or depressive ("internalizing") disorders than among those in the general population. However, because internalizing disorders are highly intercorrelated, it is ambiguous whether alcohol dependence is related to internalizing psychopathology components that are: (i) unique to a particular internalizing disorder ("specific"); versus (ii) shared across a number of internalizing disorders ("general"). To clarify this ambiguity, we employed structural equation and logistic models to decompose the specific versus general components of internalizing psychopathology and then related these components separately to alcohol dependence., Methods: The data were based on face-to-face interviews of U.S. community residents collected in the 2001 to 2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; N = 43,093)., Results: Both analytic approaches demonstrated that increases in the general internalizing psychopathology load are accompanied by increases in the prevalence of alcohol dependence. Once the general internalizing psychopathology load is accounted for, knowing whether a particular internalizing disorder is present or absent provides little additional information regarding the prevalence of alcohol dependence., Conclusions: The components of internalizing psychopathology that are associated with alcohol dependence are shared and cumulative among common anxiety and depressive disorders. These findings have the potential to influence clinical and scientific conceptualizations of the association between alcohol dependence and internalizing psychopathology., (Copyright © 2011 by the Research Society on Alcoholism.)

Aims: Evidence-based changes planned for Diagnostic and Statistical Manual 5th edition (DSM-5) substance use disorders (SUDs) include combining dependence and three of the abuse criteria into one disorder and adding a criterion indicating craving. Because DSM-IV did not include a category for nicotine abuse, little empirical support is available for aligning the nicotine use disorder criteria with the DSM-5 criteria for other SUDs., Design: Latent variable analyses, bootstrap tests and likelihood ratio tests were used to explore the unidimensionality, psychometric properties and information of the nicotine criteria., Setting and Participants: A sample of household residents selected from the Israeli population register yielded 727 life-time cigarette smokers., Measurements: DSM-IV nicotine dependence criteria and proposed abuse and craving criteria, assessed with a structured interview., Findings: Three abuse criteria (hazardous use, social/interpersonal problems and neglect roles) were prevalent among smokers, formed a unidimensional latent trait with nicotine dependence criteria, were intermixed with dependence criteria across the severity spectrum and significantly increased the diagnostic information over the dependence-only model. A craving criterion was shown to fit well with the other criteria., Conclusion: Similar to findings from research on other substances, nicotine dependence, abuse and craving criteria appear to derive from a common underlying dimension. The results support alignment of nicotine criteria with those for alcohol and drug use disorders in Diagnostic and Statistical Manual 5th edition., (© 2011 This article is a U.S. Government work and is in the public domain in the USA.)

The desire to fit structural equation models containing an interaction term has received much methodological attention in the social science literature. This paper presents a technique for the cross-product structural model that utilizes factor score estimates and results in closed-form moments-type estimators. The technique, which does not require normality for the underlying factors, was originally introduced in a very general form by Wall and Amemiya (2000) for any polynomial structural model. In this paper, the practical implementation of this method, including standard error estimation, is presented specifically for the cross-product model. The procedure is applied to an example from social/behavioural epidemiology where the flexibility of the cross-product model provides a useful description of the underlying theory. A simulation study is also presented comparing the method of moments for the cross-product model with three other procedures.