Enhancing data pipelines for forecasting student performance: integrating feature selection with cross-validation.

Educators seek to harness knowledge from educational corpora to improve student performance outcomes. Although prior studies have compared the efficacy of data mining methods (DMMs) in pipelines for forecasting student success, less work has focused on identifying a set of relevant features prior to model development and quantifying the stability of feature selection techniques. Pinpointing a subset of pertinent features can (1) reduce the number of variables that need to be managed by stakeholders, (2) make "black-box" algorithms more interpretable, and (3) provide greater guidance for faculty to implement targeted interventions. To that end, we introduce a methodology integrating feature selection with cross-validation and rank each feature on subsets of the training corpus. This modified pipeline was applied to forecast the performance of 3225 students in a baccalaureate science course using a set of 57 features, four DMMs, and four filter feature selection techniques. Correlation Attribute Evaluation (CAE) and Fisher's Scoring Algorithm (FSA) achieved significantly higher Area Under the Curve (AUC) values for logistic regression (LR) and elastic net regression (GLMNET), compared to when this pipeline step was omitted. Relief Attribute Evaluation (RAE) was highly unstable and produced models with the poorest prediction performance. Borda's method identified grade point average, number of credits taken, and performance on concept inventory assessments as the primary factors impacting predictions of student performance. We discuss the benefits of this approach when developing data pipelines for predictive modeling in undergraduate settings that are more interpretable and actionable for faculty and stakeholders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41239-021-00279-6.

Adolescent risk and protective factors predicting triple trajectories of substance use from adolescence into adulthood.

OBJECTIVES: Since the number of individuals who use substances in the United States has markedly increased every year, substance use is a significant public health concern. The current study examines the possible risk and protective factors associated with triple comorbid trajectories of longitudinal alcohol, tobacco, and cannabis use from age 14 to 36. METHODS: A community sample of 674 participants (53% African Americans and 47% Puerto Ricans; 60% females) were recruited from the Harlem Longitudinal Development Study. Multinomial logistic regression analyses were conducted to examine the associations between the risk (low self-control, peer drug use) and protective (parent-child attachment, family church attendance) factors at age 14 and membership in the triple trajectory groups derived from a multivariate growth mixture model. RESULTS: Low self-control and peer drug use were associated with an increased likelihood of being a member in the triple comorbid trajectory groups compared to the reference group (i.e., low alcohol, no tobacco, and no cannabis use). On the other hand, parent-child attachment and family church attendance were associated with a decreased likelihood of being a member in the triple comorbid trajectory groups compared to the reference group. CONCLUSIONS: Treatment programs for adolescents who use substances may be more helpful if their parents and/or friends could also participate together with the adolescent, rather than only the adolescent participates in the treatment programs. Further research is needed to gain a greater understanding of the conceptual nature of the relationship between earlier risk and protective factors and later substance use patterns.

Single and dual diagnoses of major depressive disorder and posttraumatic stress disorder predicted by triple comorbid trajectories of tobacco, alcohol, and marijuana use among urban adults.

Background: The adverse consequences of major depressive disorder (MDD) and posttraumatic stress disorder (PTSD) affect a significant portion of the US population every year (i.e., 15 million for MDD; 8 million for PTSD) and are of public health concern. The current study examines tobacco, alcohol, and marijuana use as possible longitudinal predictors of MDD and/or PTSD. Methods: A community sample of 674 participants (53% African Americans and 47% Puerto Ricans; 405 females and 269 males) were recruited from the Harlem Longitudinal Development Study. We used Mplus software to obtain the triple trajectories of tobacco, alcohol, and marijuana use from mean age 14 to 36. Logistic regression analyses were then conducted to examine the associations between those triple trajectory groups and a single diagnosis of MDD or PTSD as well as a dual diagnosis of MDD with PTSD at age 36. Results: The observed percentages of MDD, PTSD, and the comorbidity of MDD and PTSD were 17%, 8%, and 5%, respectively. The heavy use of all 3 substances group was associated with an increased likelihood of having MDD (adjusted odds ratio [AOR] = 3.14, P < .01), PTSD (AOR = 3.91, P < .05), and MDD with PTSD (AOR = 6.64, P < .01), as compared with the tobacco and alcohol use group. Conclusions: Treatment programs to quit or reduce the use of tobacco, alcohol, and marijuana may help decrease the prevalence of MDD and PTSD. This could lead to improvements in individualized treatments for patients who use tobacco, alcohol, and marijuana and who have both MDD and PTSD.

Trajectories of cannabis use beginning in adolescence associated with symptoms of posttraumatic stress disorder in the mid-thirties.

BACKGROUND: Posttraumatic stress disorder (PTSD) symptoms are related to a number of adverse consequences such as substance use and general medical conditions. The present longitudinal study seeks to find the longitudinal patterns of cannabis use as precursors of PTSD symptoms. Such information will serve as a guide for intervention programs for PTSD. METHODS: Growth mixture modeling was conducted to identify the cannabis use trajectory groups using a community sample of 674 participants (53% African Americans, 47% Hispanics of Puerto Rican decent; 60% females) from the Harlem Longitudinal Development Study. Logistic regression analyses were performed to examine the association between earlier trajectories of cannabis use (ages 14 to 36) and later symptoms of PTSD (at age 36) for the full model including the entire sample (N = 674) as well as the reduced model including only participants who had experienced a traumatic event (n = 205). RESULTS: Five trajectory groups of cannabis use were obtained. The chronic use group (full model: adjusted odds ratio [AOR] = 4.68, P < .01; reduced model: AOR = 4.27, P < .05), the late quitting group (full model: AOR = 6.18, P < .01; reduced model: AOR = 6.67, P < .01), and the moderate use group (full model: AOR = 3.97, P < .01; reduced model: AOR = 3.32, P < .05) were all associated with an increased likelihood of having PTSD symptoms at age 36 compared with the no use group. CONCLUSIONS: The findings provide information that PTSD symptoms in the mid-30s can possibly be reduced by decreasing membership in the chronic cannabis use trajectory group, the late quitting trajectory group, and the moderate cannabis use trajectory group.

Joint trajectories of cigarette smoking and depressive symptoms from the mid-20s to the mid-30s predicting generalized anxiety disorder.

The current study examines longitudinal patterns of cigarette smoking and depressive symptoms as predictors of generalized anxiety disorder using data from the Harlem Longitudinal Development Study. There were 674 African American (53%) and Puerto Rican (47%) participants. Among the 674 participants, 60% were females. In the logistic regression analyses, the indicators of membership in each of the joint trajectories of cigarette smoking and depressive symptoms from the mid-20s to the mid-30s were used as the independent variables, and the diagnosis of generalized anxiety disorder in the mid-30s was used as the dependent variable. The high cigarette smoking with high depressive symptoms group and the low cigarette smoking with high depressive symptoms group were associated with an increased likelihood of having generalized anxiety disorder as compared to the no cigarette smoking with low depressive symptoms group. The findings shed light on the prevention and treatment of generalized anxiety disorder.

An Adverse Family Environment During Adolescence Predicts Marijuana Use and Antisocial Personality Disorder in Adulthood.

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.

Trajectories of Cigarette Smoking Beginning in Adolescence Predict Insomnia in the Mid Thirties.

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.

Pathways from victimization to substance use: Post traumatic stress disorder as a mediator.

Traumatic events are linked with an array of adverse consequences such as substance use. Only a few individuals exposed to traumatic events, however, suffer from post traumatic stress disorder (PTSD) or substance use. The present longitudinal study examined the inter-relationship among victimization, PTSD, and substance use. 674 participants (53% African Americans, 47% Puerto Ricans) were surveyed over five time waves at mean ages 14, 19, 24, 29, and 36. Of the 674, 60% were females. We used Mplus to perform structural equation modeling. Victimization at ages 19, 24, and 29 was directly associated with substance use at age 36 and was also related to PTSD at age 36. PTSD, in turn, was related to substance use at age 36. This study indicates the importance of intervention for those who have been victimized with a focus on PTSD treatment. From a public health perspective, health providers should consider treatment and prevention programs for helping individuals cope with some of the consequences of victimization. This might ultimately reduce substance use.

An Analytic Solution to the Computation of Power and Sample Size for Genetic Association Studies under a Pleiotropic Mode of Inheritance.

Our motivation here is to calculate the power of 3 statistical tests used when there are genetic traits that operate under a pleiotropic mode of inheritance and when qualitative phenotypes are defined by use of thresholds for the multiple quantitative phenotypes. Specifically, we formulate a multivariate function that provides the probability that an individual has a vector of specific quantitative trait values conditional on having a risk locus genotype, and we apply thresholds to define qualitative phenotypes (affected, unaffected) and compute penetrances and conditional genotype frequencies based on the multivariate function. We extend the analytic power and minimum-sample-size-necessary (MSSN) formulas for 2 categorical data-based tests (genotype, linear trend test [LTT]) of genetic association to the pleiotropic model. We further compare the MSSN of the genotype test and the LTT with that of a multivariate ANOVA (Pillai). We approximate the MSSN for statistics by linear models using a factorial design and ANOVA. With ANOVA decomposition, we determine which factors most significantly change the power/MSSN for all statistics. Finally, we determine which test statistics have the smallest MSSN. In this work, MSSN calculations are for 2 traits (bivariate distributions) only (for illustrative purposes). We note that the calculations may be extended to address any number of traits. Our key findings are that the genotype test usually has lower MSSN requirements than the LTT. More inclusive thresholds (top/bottom 25% vs. top/bottom 10%) have higher sample size requirements. The Pillai test has a much larger MSSN than both the genotype test and the LTT, as a result of sample selection. With these formulas, researchers can specify how many subjects they must collect to localize genes for pleiotropic phenotypes.

Trajectories of marijuana use from adolescence to adulthood predicting unemployment in the mid 30s.

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.

Conjoint trajectories of depressive symptoms and delinquent behavior predicting substance use disorders.

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.

Impact of conjoint trajectories of body mass index and marijuana use on short sleep duration.

BACKGROUND AND OBJECTIVES: We examined the association between the conjoint developmental trajectories of body mass index (BMI) and marijuana use from age 24 to age 32 and short sleep duration. METHODS: The participants included 158 African American male, 267 African American female, 166 Puerto Rican male, and 225 Puerto Rican female young adults (N=816). Using Mplus, we obtained the conjoint trajectories of BMI and marijuana use. Logistic regression analyses examined the association between the conjoint trajectories and short sleep duration. RESULTS: Five conjoint trajectory groups were extracted: normal BMI and no or low marijuana use, obese and no or low marijuana use, morbidly obese and some marijuana use, normal BMI and high marijuana use, and obese and high marijuana use. Those in the obese and no or low marijuana use group, the morbidly obese and some marijuana use group, and the obese and high marijuana use group were more likely to report shorter sleep duration than those with normal BMI and no or low marijuana use group. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: This study highlights the significance of examining joint trajectories over several developmental stages. In treating short sleep duration, we propose focusing on treating obesity, and also treating marijuana use if applicable.

Triple comorbid trajectories of tobacco, alcohol, and marijuana use as predictors of antisocial personality disorder and generalized anxiety disorder among urban adults.

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.

Utilization of mental health services by minority urban adults: psychosocial predictors.

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 (ß = -0.28; z = -4.82; p < 0.001) and psychological symptoms (ß = 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 (ß = 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 (ß = 0.21; z = 4.53; p < 0.001), which in turn also had a cross-sectional association with psychiatric disorders (ß = 0.30; z = 5.30; p < 0.001). Psychiatric disorders had a cross-sectional association with mental health services utilization (ß = 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.

Voluntary smoking bans at home and in the car and smoking cessation, obesity, and self-control.

This study of female former and current smokers assessed the associations between voluntary smoking bans at home and in the car and smoking cessation, obesity, and self-control. Data from self-reported female smokers (N = 194) who were in a community-based random cohort at four points in time, from 1983 to 2009, were analyzed. These female participants (M age = 63.7 yr.) were given self-administered questionnaires. Analyses showed that complete smoking bans at home and in the car were positively associated with a greater likelihood of smoking cessation. Complete smoking bans at home and in the car were positively associated with greater self-control. Public health policies should focus on the positive health effects of smoking bans on smoking cessation and greater self-control.

Developmental trajectories of marijuana use from adolescence to adulthood: relationship with using weapons including guns.

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.

Longitudinal determinants of substance use disorders.

Substance use and substance use disorders (SUDs) have been linked with marital discord. Relatively little is known, however, about the antecedents of SUDs, the mediators of these factors over time, or their associations with the spousal/partner relationship among urban adults. A better understanding of the longitudinal pathways to marital conflict and to SUDs should help prevention and intervention programs target their precursors within the developmental period in which they occur. The present study, therefore, examined the longitudinal predictors of an unsupportive spousal/partner relationship and SUDs among a community sample of urban African American and Puerto Rican adults from East Harlem, NY. Participants (N = 816) completed structured questionnaires at five time waves, from adolescence to adulthood (mean ages = 14, 19, 24, 29, and 32 years). Structural equation modeling examined the effects of earlier environmental and social stressors and intrapersonal and interpersonal factors on later SUDs in adulthood. There was a good fit of the structural equation model (CFI = 0.91; RMSEA = 0.06; and SRMR = 0.06), which revealed three main pathways from adolescence to the spousal/partner relationship and SUDs in adulthood. One pathway linked a weak parent-adolescent attachment relationship with the participant's psychological symptoms in emerging adulthood (p < 0.01), which in turn were related to affiliation with deviant and drug-using peers, also in emerging adulthood (p < 0.001). Peer deviance and drug use were associated with the participant's substance use in young adulthood (p < 0.001), which predicted both an unsupportive spousal/partner relationship (p < 0.05) and SUDs (p < 0.001) later in adulthood. Other pathways highlighted the continuity of psychological symptoms as related to both substance use in young adulthood (p < 0.001) and an unsupportive spousal/partner relationship in adulthood (p < 0.001). Findings showed that the associations of both distal stressors and the parent-adolescent relationship with more proximal intra- and interpersonal problems predicted unsupportive spousal/partner relationships and SUDs among urban adults. Several aspects of the individual's life, at different developmental stages, provide opportunities for interventions to prevent or reduce unsupportive spousal/partner relationships and SUDs.

Long-term consequences of membership in trajectory groups of delinquent behavior in an urban sample: violence, drug use, interpersonal, and neighborhood attributes.

Research on stability and change in delinquent behavior over time has important implications for both the individual and the criminal justice system. The present research looks at this issue by examining the associations between the trajectories of delinquent behavior in adolescence and adult functioning. Data for the present study are from a four-wave longitudinal study of African American and Hispanic participants. Participants provided information at mean ages 14, 19, 24, and 29. We used growth mixture modeling to extract trajectory groups of delinquent behavior in adolescence and young adulthood. Regression analyses were conducted to examine whether memberships in the trajectory groups of delinquent behavior from mean age 14 to mean age 24 were associated with violence, substance abuse and dependence, partner discord, peer substance use, and residence in a high-crime neighborhood at mean age 29 when compared with the reference trajectory group of participants with low or no delinquent behavior. Four trajectory groups of delinquent behavior were identified: the no/low, the decreasing, the moderate, and the high persistent trajectory groups. Memberships in the trajectory groups were significantly correlated with variations in adult functioning. Memberships in some trajectory groups of delinquent behavior are significant predictors of later violent behavior, substance abuse and dependence, partner discord, peer substance use, and residence in a high-crime neighborhood. The findings reinforce the importance of investing in interventions to address different patterns of delinquent behavior. Findings are discussed in relation to previous investigations with non-Hispanic White samples.

Physical factors, personal characteristics, and substance use: associations with obesity.

BACKGROUND: Because obesity has become a major public health problem, attention to a range of its predictors is needed. This study examined the association of physical factors, personal characteristics, and substance use with obesity in a sample (N = 815) of African American and Puerto Rican young adults with a mean age of 32. METHODS: Body mass index (BMI) was calculated to assess obesity. Bivariate and multivariate logistic regression analyses were conducted. RESULTS: Bivariate analyses showed that protective factors such as physical activity (adjusted odds ratio [AOR] = .82, 95% confidence interval [CI] = .74-.91), healthy diet (AOR = .96, 95% CI = .93-.99), self-control (AOR = .93, 95% CI = .87-.98), and life satisfaction (AOR = .97, 95% CI = .95-.99) were associated with a reduced probability of being obese. Marijuana use was also associated with a decreased probability of obesity (AOR = .89, 95% CI = .80-.99), but was not considered a protective factor. Risk factors such as short sleep duration (AOR = 1.70, 95% CI = 1.24-2.33) and depressive mood (AOR = 1.05, 95% CI = 1.01-1.09) were associated with an increased probability of being obese. CONCLUSIONS: For African Americans and Puerto Ricans, programs to treat obesity should focus on increasing sleep, physical activity, and life satisfaction.

Adult work commitment, financial stability, and social environment as related to trajectories of marijuana use beginning in adolescence.

BACKGROUND: The objective of this study is to examine trajectories of marijuana use among African Americans and Puerto Ricans from adolescence to adulthood, with attention paid to work commitment, financial stability, drug use, and violence. METHODS: Participants (N = 816) completed in-class questionnaires as students in the East Harlem area of New York City at the first wave and provided follow-up data at 4 additional points in time (mean ages = 14, 19, 24, 29, and 32 years). Among 816 participants, there were 60% females, 52% African American, and 48% Puerto Ricans. RESULTS: The chronic marijuana user trajectory group compared with the none or low, increasing, and/or moderate marijuana user trajectory group was associated with negative aspects of work commitment, financial stability, and the social environment. The chronic marijuana user group was similar to the increasing marijuana user group on work commitment and financial stability. CONCLUSIONS: These results suggest that treating marijuana use in late adolescence may reduce difficulty in the assumption of adult roles. Because chronic marijuana users experienced the most adverse effects in each of the domains, they require more intense clinical intervention than moderate marijuana users.