Faculty Bibliography

Adult maladaptive behaviors including antisocial personality disorder (ASPD) and marijuana use are major public health concerns. At the present time, there is a dearth of research showing the interrelationships among the possible predictors of adult maladaptive behaviors (i.e., ASPD and marijuana use). Therefore, the current study examines the pathways from adverse family environments in late adolescence to these maladaptive behaviors in adulthood. There were 674 participants (52 % African Americans, 48 % Puerto Ricans). Sixty percent of the sample was female. Structural equation modeling in the current study included 4 waves of data collection (mean ages 19, 24, 29, and 36). An adverse family environment in late adolescence was related to greater externalizing personality in late adolescence, which in turn, was related to greater marijuana use in emerging adulthood. This in turn was positively associated with partner marijuana use in young adulthood, which in turn, was ultimately related to maladaptive behaviors in adulthood. An adverse family environment in late adolescence was also related to greater marijuana use in emerging adulthood, which in turn, was associated with an adverse relationship with one's partner in young adulthood. Such a negative partner relationship was related to maladaptive behaviors in adulthood. The findings suggest that family-focused interventions (Kumpfer and Alvarado in Am Psychol 58(6-7): 457-465, 2003) for dysfunctional families may be most helpful when they include the entire family.

BACKGROUND: Insomnia is increasingly recognized as a public health concern in modern society. Insomnia diagnoses appear to be increasing and are associated with poor health outcomes. They may cost $100 billion annually in health services. OBJECTIVE: Given the adverse consequences of insomnia such as cardiovascular disease, diabetes, and depression, the present study was designed to examine the relationship of the trajectories of earlier cigarette smoking and later insomnia. The ultimate goal is to reduce the prevalence of insomnia. METHODS: 674 participants (53% African Americans, 47% Puerto Ricans, 60% females) were surveyed at 6 points in time. We employed the growth mixture model to obtain the trajectories of cigarette smoking from age 14 to 32. We used logistic regression analyses to examine the associations between the trajectories of smoking and insomnia. RESULTS: Males were less likely to have insomnia than females (Adjusted odds ratio: AOR = 0.34, p < .05). A higher Bayesian posterior probability (BPP) for the chronic smoking trajectory group (AOR = 2.69, p < .05) and for the moderate smoking trajectory group (AOR = 5.33, p < .01) was associated with an increased likelihood of having insomnia at age 36 compared with the BPP of the no or low smoking trajectory group. CONCLUSIONS: Prevention and treatment programs for individuals who suffer from insomnia should be implemented in parallel with programs for smoking cessation. From a public health perspective, our longitudinal study that examined the association between earlier smoking trajectories and later insomnia suggests that treatments designed to reduce or cease smoking may lessen the occurrence of symptoms of insomnia.

This study tests a model of intergenerational influences on childhood depressed mood that proposes (1) indirect and direct paths from maternal drug use to offspring depressed mood; and (2) pathways from maternal maladaptive personality attributes to offspring depressed mood via adverse child-rearing practices. A cross-sectional two-generational design is employed. Data was obtained utilizing structured questionnaires administered by trained interviewers in the homes of the participants. The sample was comprised of African American and Puerto Rican children (N=210) and their mothers living in New York City. Using structural equation modeling, the analysis showed that maladaptive personality attributes are associated with adverse maternal child-rearing practices, which, in turn, are related to depressed mood in the offspring. Maternal drug use had a direct effect on offspring depressed mood. Maternal drug use also had an indirect path to offspring depressed mood via maladaptive personality attributes and adverse maternal child-rearing practices. The total effects analysis indicated that adverse maternal child-rearing practices was the strongest predictor of childhood depressed mood. This finding was consistent with the proximal position of the latent construct within the model. Maternal personality attributes and drug use were of lesser importance, but still statistically significant. The results suggest that maternal drug use and maladaptive personality attributes pose risks for the future depressive mood of children. The relative strength of maternal involvement with offspring should be the focus of preventive and therapeutic intervention efforts.

BACKGROUND AND OBJECTIVES: Unemployment (5.5% as of 2015) is a serious social and economic problem in our society. Since marijuana use is an important factor related to unemployment, identifying the trajectory of the use of marijuana may aid intervention programs and research on unemployment. METHODS: Six hundred seventy-four participants (53% African-Americans, 47% Puerto Ricans) were surveyed (60% females) from ages 14 to 36. The first data collection was held when the participants were students attending schools in the East Harlem area of New York City. RESULTS: We found that the chronic marijuana use (OR = 4.07, p < .001; AOR = 2.58, p < .05) and the late marijuana quitter (OR = 2.91, p < .05) trajectory groups were associated with an increased likelihood of unemployment compared with the no marijuana use trajectory group. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: The results suggest that those who use marijuana chronically are at greater risk for being unemployed. Consequently, these individuals should have access to and participate in marijuana cessation treatment programs in order to reduce their risk of unemployment. Unemployment intervention programs should also consider focusing on the cessation of the use of marijuana to decrease the likelihood of later unemployment. (Am J Addict 2015;24:452 -459).

AIMS: This study examines the conjoint trajectories of depressive symptoms and delinquent behavior from adolescence (age 14) into young adulthood (age 24) as predictors of substance use disorders (SUDs) in adulthood (age 32). METHODS: Of the 816 participants, 52% were African Americans, and 48% were Puerto Ricans. After we obtained the conjoint trajectory groups using Mplus, we performed logistic regression analyses using SAS to compare the Bayesian Posterior Probability (BPP) of each of the conjoint trajectory groups with the BPP of the reference conjoint trajectory group to predict SUDs. RESULTS: Four conjoint trajectory groups were obtained. The higher BPPs of both the high depressive symptoms and low delinquent behavior trajectory group (AOR=3.54, p<.05) and the medium depressive symptoms and high delinquent behavior trajectory group (AOR=10.28, p<.001), as compared with the BPP of the low depressive symptoms and low delinquent behavior trajectory group, were associated with an increased likelihood of SUDs in adulthood. These associations were maintained with control on gender, ethnicity, the use of alcohol, cigarettes, and marijuana, socioeconomic status (SES) at age 14, and income and educational level at age 36. CONCLUSIONS: Prevention and treatment of delinquent individuals reporting SUDs might be more effective if their depressive symptoms were also addressed. Similarly, prevention and treatment of depressed individuals reporting SUDs might be more effective if their delinquent behavior was also addressed.

BACKGROUND: Although the "stage theory" suggests that marijuana use occurs after the initiation of tobacco smoking, substantial evidence exists that they often occur concurrently, and that the use of marijuana may influence the use of tobacco. METHODS: This study uses trajectory analysis to examine the relationship between marijuana use beginning in adolescence and adult tobacco dependence in a 5-wave longitudinal study (mean ages in each wave: 14, 19, 24, 29, and 32). The sample consisted of 816 participants (52% African Americans, 48% Puerto Ricans), of whom 60% were females. Logistic regression analyses were conducted to predict later tobacco dependence from earlier trajectories of marijuana use. RESULTS: A higher Bayesian posterior probability (BPP) for the chronic marijuana use trajectory group (odds ratio [OR] = 10.93, P < .001; adjusted OR [AOR] = 10.40, P < .001), for the increasing marijuana use trajectory group (OR = 6.94, P < .001; AOR = 6.73, P < .001), and for the moderate marijuana use trajectory group (OR = 3.13, P < .001; AOR = 3.18, P < .001) was associated with an increased likelihood of being dependent on tobacco compared with the BPP of the no or low marijuana use trajectory group. CONCLUSIONS: The results underscore the value of considering multiple patterns of marijuana use within a person-centered approach. Thus, it would be appropriate for marijuana cessation programs to incorporate the prevention, assessment, and cessation of tobacco use in their health promotion strategies.

Previous studies have identified an association between depressive mood and marijuana use. We examined adolescent self-control as a predictor of membership in joint developmental trajectories of depressive mood and marijuana use from adolescence to young adulthood. Urban African Americans and Puerto Ricans (N = 838) were sampled when participants were on average 14, 19, 24, and 29 years old. Using growth mixture modeling, four joint trajectory groups of depressive mood and marijuana use were established: low marijuana use/low depressive mood, low marijuana use/intermediate depressive mood, high marijuana use/low depressive mood, and high marijuana use/high depressive mood. Weighted logistic regression analysis showed that self-control at age 14 distinguished the high marijuana use/high depressive mood group and the low marijuana use/low depressive mood group from each of the other groups. Findings show that the co-occurrence of high levels of marijuana use and depressive mood from adolescence into young adulthood is predicted by low levels of self-control in adolescence. On the other hand, high selfcontrol is associated with low marijuana use and low levels of depression over time. Thus, while deficits in self-control in adolescence constitute a significant risk for maladjustment over time, high self-control exerts a protective factor with regard to marijuana use and depressive mood into young adulthood.

Objectives. We modeled triple trajectories of tobacco, alcohol, and marijuana use from adolescence to adulthood as predictors of antisocial personality disorder (ASPD) and generalized anxiety disorder (GAD). Methods. We assessed urban African American and Puerto Rican participants (n = 816) in the Harlem Longitudinal Development Study, a psychosocial investigation, at 4 time waves (mean ages = 19, 24, 29, and 32 years). We used Mplus to obtain the 3 variable trajectories of tobacco, alcohol, and marijuana use from time 2 to time 5 and then conducted logistic regression analyses. Results. A 5-trajectory group model, ranging from the use of all 3 substances (23%) to a nonuse group (9%), best fit the data. Membership in the trajectory group that used all 3 substances was associated with an increased likelihood of both ASPD (adjusted odds ratio [AOR] = 6.83; 95% CI = 1.14, 40.74; P < .05) and GAD (AOR = 4.35; 95% CI = 1.63, 11.63; P < .001) in adulthood, as compared with the nonuse group, with control for earlier proxies of these conditions. Conclusions. Adults with comorbid tobacco, alcohol, and marijuana use should be evaluated for use of other substances and for ASPD, GAD, and other psychiatric disorders. Treatment programs should address the use of all 3 substances to decrease the likelihood of comorbid psychopathology.

Although most mental disorders have their first onset by young adulthood, there are few longitudinal studies of these problems and related help-seeking behavior. The present study examined some early and current predictors of the use of mental health services among African-American and Puerto Rican participants in their mid-30s. The 674 participants (52.8 % African Americans, 47.2 % Puerto Ricans; 60.1 % women) in this study were first seen in 1990 when the participants attended schools serving the East Harlem area of New York City. A structural equation model controlling for the participants' gender, educational level in emerging adulthood, and age at the most recent data collection showed significant standardized pathways from both ethnicity (beta = -0.28; z = -4.82; p < 0.001) and psychological symptoms (beta = 0.15; z = 2.41; p < 0.05), both measured in emerging adulthood, to smoking in the early 30s. That, in turn, was associated with certain physical diseases and symptoms (i.e., respiratory) in the mid-30s (beta = 0.16; z = 2.59; p < 0.05). These physical diseases and symptoms had a cross-sectional association with family financial difficulty in the mid-30s (beta = 0.21; z = 4.53; p < 0.001), which in turn also had a cross-sectional association with psychiatric disorders (beta = 0.30; z = 5.30; p < 0.001). Psychiatric disorders had a cross-sectional association with mental health services utilization (beta = 0.65; z = 13.25; p < 0.001). Additional pathways from the other domains to mental health services utilization in the mid-30s were also supported by the mediating role of psychiatric disorders. Results obtained from this research offer theoretical and practical information regarding the processes leading to the use of mental health services.

This is the first study to assess the associations between the trajectories of marijuana use and other predictors of violent behavior with the use of guns or other weapons as well as stealing without the use of weapons among inner-city African Americans and Puerto Ricans (N = 838). Logistic regression analyses examined whether the longitudinal trajectories of marijuana use compared with the trajectory of no/low marijuana use predicted violent behavior. A higher Bayesian posterior probability (BPP) for the increasing marijuana use trajectory group (AOR = 3.37, P < .001), the moderate use of marijuana trajectory group (AOR = 1.98, P < .01), and the quitter trajectory group (AOR = 1.70, P < .05) was associated with an increased likelihood of engaging in violence (i.e., shooting or hitting someone with a weapon) compared with the BPP of the no use of marijuana trajectory group. Our results address a number of important public health and clinical issues. Public health funds might be spent on prevention programs focused on decreasing the use of marijuana, increasing educational retention, and decreasing contact with deviant associates. Understanding the psychosocial conditions related to the use of weapons is critical for individuals involved in the criminal justice system, physicians, and other health care providers in managing individuals who engage in violent behavior. Aggr. Behav. 9999:XX-XX, 2013. (c) 2013 Wiley Periodicals, Inc.