Carla L. Storr

Objective: The goal of this study was to describe onset of comorbid anxiety disorders and alcohol dependence based on a large national survey of the U.S. adult population and to explore and describe these patterns by gender. Methods: Using Wave 1 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) data, we compared age at onset and temporal ordering of onset of comorbid alcohol dependence and anxiety disorders. Analyses were stratified by gender. Mean ages at onset were calculated, and Wald F-tests were used to assess differences in ages at onset, accounting for the complex survey design of the NESARC. Weighted estimates were used, adjusted to be representative of the U.S. population on various sociodemographic variables based on the 2000 Decennial Census. Results: Differences in temporal ordering were observed but varied by disorder combination. The majority (65%) had a primary (earliest onset) anxiety disorder, while the remaining 35% had a primary alcohol dependence diagnosis. Age at onset for some individuals with an anxiety disorder comorbid with alcohol dependence was earlier than for those with an anxiety disorder alone. Among individuals with comorbid social phobia and alcohol dependence and with comorbid specific phobia and alcohol dependence, it was more common to experience anxiety disorder as the primary diagnosis. Conversely, among individuals with comorbid panic disorder and alcohol dependence and with generalized anxiety disorder and alcohol dependence, it was more common to experience alcohol dependence as the primary diagnosis. Women were more likely to report having multiple comorbid anxiety disorders. No gender differences were found in terms of age at onset or temporal ordering of onset of comorbid disorders. Conclusions: Subsets of individuals with comorbid disorders exist, some whose primary diagnosis is alcohol dependence, and a majority of individuals whose primary diagnosis is an anxiety disorder with significant variability in age and temporal ordering of onset and few gender differences. Improved understanding of patterns of comorbidity and lag time between the onsets of specific disorders may enable us to identify potential groups for early intervention.

This study examines the association between aggressive/disruptive behavior development in two distinct developmental periods—childhood (i.e., Grades 1–3) and early adolescence (i.e., Grades 6–10)—and subsequent gambling behavior in late adolescence up to age 20. The sample consists of 310 urban males of predominately minority and low socioeconomic status followed from first grade to late adolescence. Separate general growth mixture models were estimated to explore the heterogeneity in aggressive/disruptive behavior development in the aforementioned two periods. Three distinct behavior trajectories were identified for each period: a chronic high, a moderate increasing, and a low increasing class for childhood, and a chronic high, a moderate increasing, followed by decreasing and a low stable class for early adolescence. There was no association between childhood behavior trajectories and gambling involvement. Males with a moderate behavior trajectory in adolescence where two times more likely to gamble compared to those in the low stable class (OR = 1.89, 95% CI = 1.11, 3.24). Those with chronic high trajectories during either childhood or early adolescence (OR = 2.60, 95% CI = 1.06, 6.38; OR = 3.19, 95% CI = 1.18, 8.64, respectively) were more likely to be at-risk/problem gamblers than those in the low class. Aggressive/disruptive behavior development in childhood and early adolescence is associated with gambling and gambling problems in late adolescence among urban male youth. Preventing childhood and youth aggressive/disruptive behavior may be effective to prevent youth problem gambling.

In this study, the authors focused on signs of early childhood misbehavior that might be linked to the risk of becoming tobacco-dependent. Standardized teacher ratings of misbehavior were obtained for an epidemiologic sample of first graders entering an urban mid-Atlantic public school system in 1985 and 1986. Fifteen years later, 1,692 of the students were reassessed (nearly 75% of the original sample). As adults, 962 participants indicated that they had tried tobacco at least once; 66% of the 962 had become daily users. Latent class analysis of items on the Fagerström Test for Nicotine Dependence gave evidence of three classes pertinent to tobacco dependence syndrome in smokers by young adulthood: one nondependent class of smokers (50% of smokers), a class of smokers experiencing a moderate number of dependence features (31%), and a third class that was more severely affected (19%), as manifest in the need to smoke immediately after waking and smoking when ill. With or without adjustment for covariates, higher levels of teacher-rated childhood misbehavior at entry into primary school were associated with a modest excess risk of becoming tobacco-dependent by young adulthood (risk ratio = 1.6, 95% confidence interval: 1.1, 2.5). Interventions that seek to improve childhood behavior might reduce early onset tobacco smoking and risk of tobacco dependence among smokers.

This study pursued a line of large-sample epidemiological research on tobacco dependence syndromes that may appear during the first 2 years of tobacco smoking, as clinical features begin to emerge. Focusing on smokers who just recently started using tobacco may provide insights into the transitions that lead from initial smoking toward tobacco dependence. A specific focus was a possible excess risk of tobacco dependence associated with early-onset smoking. Data came from public use files of the 1995–1998 National Household Surveys on Drug Abuse. Analyses were based on responses from 2,993 smokers, that is, those whose age at onset of tobacco smoking was either equal to the age at the time of the interview (n=1,030) or within 1 year of the age at the interview (n=1,963). Seven clinical features were assessed for a measure of the tobacco dependence syndrome, elicited during a standardized assessment. Findings from latent class analysis best support a model with three classes of smokers; features of tobacco dependence are prominent in just two of these classes, which in aggregate constitute 29% of the recent-onset smokers. Earlier-onset tobacco smokers may have a modestly higher probability of expressing dependence features within 2 years of smoking onset, compared with later-onset smokers (i.e., those starting after age 20). Clinical features of tobacco dependence emerge within 1–2 years after the onset of smoking. If the three-class model of tobacco dependence is correct, early-onset smoking may confer modest excess risk of becoming tobacco dependent during the first 2 years after smoking onset.

Although the American popular press and films might generally lead one tinvolvement may be determined by similar community conditions in many parts of the world. In Spring 1998, a probability sample of 776 high school students living in Guam, Micronesia, completed a self-report anonymous survey, one that assessed their village and metropolitan neighborhood environments as well as drug involvement. On Guam, higher levels of neighborhood disadvantage were associated with youths being more likely to have been offered a chance to try drugs. This study adds, new evidence on the potential importance of environmental and psychosocial contexts of neighborhood environment that might help account for the nonrandom distribution of youthful drug involvement.o think otherwise, illegal drug use and drug trafficking occur outside the boundaries of disadvantaged American inner-city neighborhoods. Nonetheless, the occurrence of youthful drug involvement.

This paper reviews and compares alcohol and other drug involvement findings in two professions, medicine and nursing, by specialty. Health care providers are naturally subgrouped by specialty, as this is a major work environment factor. The evidence indicates an association exists between practicing in certain medical or nursing specialties and substance use. In addition, similarities in specialty membership and substance use across medicine and nursing suggests there may be common risk factors related to substance use that could be addressed using interdisciplinary approaches.

Senior students at 23 regionally distributed medical schools received an anonymous questionnaire designed to examine current and prior use of tobacco, alcohol, and nine other drugs. The overall response rate was 67% (N = 2046). Substance use prevalence rates during the 30 days preceding the survey included alcohol, 87.5%; marijuana, 10.0%; cigarettes, 10.0%; cocaine, 2.8%; tranquilizers, 2.3%; opiates other than heroin, 1.1%; psychedelics other than LSD (lysergic acid diethylamide), 0.6%; amphetamines, 0.3%; barbiturates, 0.2%; LSD, 0.1%; and heroin, 0.0%. Compared with national, age-related comparison groups, senior medical students reported less use of all substances during the past 30 days and the past 12 months, except for alcohol, tranquilizers, and psychedelics other than LSD. Substantial new drug use after entry into medical school was reported only for tranquilizers. Seven students (0.2%) admitted to current dependence on a substance other than tobacco, four of these implicating marijuana. Thirty-three students (1.6%) believed that they currently needed help for substance abuse. Only 25.7% were aware of any policy on substance abuse at their own school.