Developmental Trajectories of Religious Service Attendance: Predictors of Nicotine Dependence and Alcohol Dependence/Abuse in Early Midlife.

This longitudinal study assesses the associations between developmental trajectories of religious service attendance from mean age 14 to mean age 43 and nicotine dependence and alcohol dependence/abuse at mean age 43 (N = 548). Six trajectories of religious service attendance were identified. As compared with belonging to weekly stable trajectory group, a higher probability of belonging to the weekly/none decreasing, occasional stable, and non-attendance trajectory group was significantly associated with a higher likelihood of nicotine dependence. In addition, as compared with belonging to weekly stable trajectory group, a higher probability of belonging to the weekly/none decreasing, weekly/occasional decreasing, occasional stable, and non-attendance trajectory group was significantly associated with a higher likelihood of alcohol dependence/abuse. These findings are consistent with the hypothesis that religious service attendance protects against nicotine dependence and alcohol dependence/abuse in early midlife.

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.

Longitudinal Smoking Patterns: Do They Predict Symptoms of ADHD in Adults?

Objective: The objective of this study was to assess whether comparisons of longitudinal smoking trajectories predict differences in symptoms of ADHD in adults. Method: Participants were interviewed 7 times between 14 and 43 years of age. ADHD symptoms at outcome were assessed with the World Health Organization ADHD Self-Report Scale. Bivariate and multivariate linear regression analyses assessed the associations between the trajectories of smoking and ADHD symptoms. Results: The multivariate analysis (R2 = .12) indicated that compared with being nonsmokers, the probability of being in the heavy/continuous group (standardized regression coefficient [SRC] = .17, p < .01) and in the late starter group (SRC = .11, p < .05) were significantly associated with adult ADHD symptoms. Conclusion: Longitudinal smoking patterns were associated with ADHD symptoms in adults. Chronic smoking jeopardizes both physical health and the ability to fulfill adult roles as employees, family members, and friends. Smoking cessation in adolescence may lessen the likelihood of ADHD symptoms in adulthood.

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.

Season of birth: A predictor of ADHD symptoms in early midlife.

OBJECTIVE: In this longitudinal study, we applied linear regression analyses to examine season of birth as related to symptoms of attention deficit/hyperactivity disorder (ADHD) in early midlife. METHOD: We gathered longitudinal data on a prospective cohort of community-dwelling men and women (N = 548) followed from adolescence to early midlife. FINDINGS: The findings indicate that, as compared with participants who were born in the summer, those who were born in the spring (Beta = 0.34; t-statistic = 3.59; p < 0.001) had significantly more ADHD symptoms. In addition, exposure to maternal cigarette smoking in adolescence significantly intensified (p < 0.01) the association between season of birth and ADHD symptoms in early midlife. CONCLUSION: These findings suggest that exposure to greater maternal maladaptive behaviors, such as cigarette smoking, may result in a greater vulnerability to other environmental risk factors, such as season of birth.

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.

Psychosocial Factors Related to the Intergenerational Transmission of Externalizing Behaviors in Early Midlife.

BACKGROUND: To study the intergenerational transmission of externalizing behaviors. METHODS: Participants came from a community-based random sample of residents in two upstate New York counties (N = 548). Data were collected from mothers at mean age 40 and from their children from adolescence (mean age = 14, SD = 2.8) to early midlife (mean age = 43, SD = 2.8) at seven time points. Structural equation modeling (SEM) was used to study the psychosocial factors as related to externalizing behaviors in early midlife. RESULTS: First, maternal externalizing behaviors were indirectly associated with the offspring's externalizing behaviors through the offspring's substance use in adolescence, the offspring's partner's smoking patterns, and the offspring's marital conflict. Second, maternal cigarette smoking was indirectly associated with the offspring's externalizing behaviors through the offspring's substance use in adolescence, the offspring's partner's cigarette smoking, and the offspring's marital conflict. Third, maternal marital conflict had an indirect effect on the offspring's externalizing behaviors, mediated by offspring marital conflict. CONCLUSIONS: The finding that externalizing behaviors can be transmitted from parent to child informs the need for family-based interventions that are appropriate to adolescents.

Lack of Preventive Health Behaviors in the Early Forties: The Role of Earlier Trajectories of Cigarette Smoking From Adolescence to Adulthood.

OBJECTIVE: To study the degree to which individuals in different trajectories of cigarette smoking from adolescence to the early forties are similar or different in terms of lack of preventive health behaviors (e.g., underuse of preventive health services, unhealthy eating habits) in early midlife. METHODS: Participants came from a community-based random sample of residents in two upstate New York counties (N = 548). Data were collected from adolescence to early midlife (mean age = 43 years, standard deviation [SD] = 2.8) at seven time points. Using growth mixture modeling, we statistically identified the number of smoking trajectories. Logistic regression analysis was used to study the relationship between the probabilities of participants' smoking trajectory group membership and lack of preventive behaviors in early midlife. RESULTS: Five trajectory groups of cigarette smokers were identified. With controls, as compared with the nonsmoker trajectory group, higher probabilities of belonging to the heavy/continuous smoker trajectory group and the late starter trajectory groups were significantly associated with a higher likelihood of lack of preventive health behaviors (adjusted odds ratio [AOR] = 3.49 and 4.02 respectively). In addition, as compared to the quitter/decreaser trajectory group, higher probabilities of belonging to the heavy/continuous smoker trajectory group and the late starter trajectory group were also significantly associated with a higher likelihood of lack of preventive health behaviors (AOR = 3.51 and 4.04 respectively). CONCLUSIONS: Intervention programs may consider focusing on heavy/continuous smokers and late starters in programs designed to promote adequate use of preventive health services and healthy general lifestyles in early midlife.

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.

Tobacco and alcohol use among adolescents in South Africa: shared and unshared risks.

OBJECTIVE: Tobacco and alcohol use by adolescents are major public health concerns in South Africa. However, the extent to which key psychosocial risk factors for tobacco use and alcohol use by adolescents in South Africa are shared or unshared is unclear. This study sought to examine the shared and unshared risk factors for tobacco and alcohol use among adolescents in Johannesburg. METHOD: Participants comprised 736 males and females aged 12-17 years who were recruited via a household survey conducted during 2004. The participants were interviewed using a questionnaire comprising measures of personal, family (parental bonding and family legal drug use) and contextual (school and neighbourhood) factors. Separate multiple logistic regression analyses were conducted to predict lifetime alcohol use and lifetime tobacco use from variables within each domain (personal, family and contextual), controlling for demographic factors. RESULTS: Personal, family (parental bonding) and contextual factors (school factors) were primarily shared risk factors for tobacco and alcohol use, while family legal drug use and neighbourhood factors were largely unshared. CONCLUSIONS: Interventions addressing personal, parenting and schooling factors are likely to have an impact on preventing both tobacco and alcohol use, whereas interventions focused on ameliorating family drug use and neighbourhood factors may need to be more substance-specific.

Psychosocial Factors Related to Underuse of Medical Services.

In this longitudinal study, we applied structural equation modeling (SEM) to examine the historical, predisposing, enabling/barrier, and need factors as related to the underuse of medical services during early midlife. We gathered longitudinal data on a prospective cohort of community-dwelling men and women (N = 548) followed from adolescence to early midlife. The findings supported a mediational model: A mutually affectionate parent-child relationship in early adolescence was inversely related to underuse of medical services in early midlife via the mediational roles played by later predisposing factors (i.e., depressive mood and cigarette smoking), need factor (i.e., physical health problems), barriers (i.e., financial difficulty), and enabling factors (i.e., social support for health services in early midlife). In addition, satisfaction with medical services in the neighborhood had an association with less underuse of medical services in early midlife. Family therapy focused on an increase in the affectionate relationship between the adolescents and his/her parents and cognitive-behavioral treatment of depressive mood may lead to a decrease in the underuse of medical services.

Comorbid trajectories of substance use as predictors of Antisocial Personality Disorder, Major Depressive Episode, and Generalized Anxiety Disorder.

OBJECTIVE: To determine longitudinal associations between patterns of comorbid cigarette, alcohol, and marijuana use and Antisocial Personality Disorder (ASPD), Major Depressive Episode (MDE), and Generalized Anxiety Disorder (GAD) in adulthood. METHOD: A random community-based sample [X̅ age=36.6 (SD=2.8)] from the Children and Adults in the Community Study, an on-going investigation of substance use and psychiatric disorders. Data were collected at six time waves. Conjoint trajectories of cigarette, alcohol, and marijuana use spanning adolescence to adulthood were determined; multivariable logistic regression analyses assessed associations between trajectory group membership and having ASPD, MDE, or GAD in adulthood. RESULTS: Five conjoint trajectory groups were obtained: HHH (chronic cigarette, alcohol, and marijuana use), DDD (delayed/late-starting cigarette, alcohol, and marijuana use), LML (low/no smoking, moderate alcohol use, occasional marijuana use), HMN (chronic smoking, moderate alcohol use, no marijuana use), and NON (occasional alcohol use only). Compared with members of the NON group, those in the HHH group had significantly greater odds for having ASPD (Adjusted Odds Ratio [AOR]=28.52, 95% Confidence Interval [CI]=9.44-86.17), MDE (AOR=2.67, 95% CI=1.14-6.26), and GAD (AOR=6.39, 95% CI=2.62-15.56). Members of the DDD, LML, and HMN groups had weaker and less consistent associations with the three psychiatric outcomes. CONCLUSIONS: In a large, community-based sample, long-term concurrent use of more than one substance was associated with both externalizing and internalizing psychiatric disorders in adulthood. Prevention and treatment programs might target individuals in the community and general clinical populations with comorbid substance use, even if they haven't been identified as having a substance use disorder.

Marijuana use from adolescence to adulthood: developmental trajectories and their outcomes.

BACKGROUND: The study assesses the degree to which individuals in different trajectories of marijuana use are similar or different in terms of unconventional behavior, sensation seeking, emotional dysregulation, nicotine dependence, alcohol dependence/abuse, children living at home, and spouse/partner marijuana use at age 43. METHOD: This study used a longitudinal design. The sample participants (N = 548) were first studied at mean age 14 and last studied at mean age 43. RESULTS: Six trajectories of marijuana use were identified: chronic/heavy users (3.6 %), increasing users (5.1 %), chronic/occasional users (20 %), decreasers (14.3 %), quitters (22.5 %), and nonusers/experimenters (34.5 %). With three exceptions, as compared with being a nonuser/experimenter, a higher probability of belonging to the chronic/heavy, the increasing, or the chronic/occasional user trajectory group was significantly associated with a greater likelihood of unconventional behavior, sensation seeking, emotional dysregulation, nicotine dependence, alcohol dependence/abuse, not having children who lived at home, and having a spouse/partner who used marijuana at early midlife. In addition, compared with being a quitter, a higher probability of belonging to the chronic/heavy user trajectory group was significantly associated with a higher likelihood of unconventional behavior, sensation seeking, emotional dysregulation, alcohol dependence/abuse, and spouse/partner marijuana use. Implications for intervention are presented. CONCLUSIONS: Trajectories of marijuana use, especially chronic/heavy use, increasing use, and chronic/occasional use, are associated with unconventional behavior, sensation seeking, emotional dysregulation, nicotine dependence, alcohol dependence/abuse, having children who lived at home, and spouse/partner marijuana use at age 43. The importance of the findings for prevention and treatment programs are discussed.

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.

Trajectories of marijuana use from adolescence to adulthood as predictors of unemployment status in the early forties.

OBJECTIVES: To study the degree to which individuals in different trajectories of marijuana use are similar or different in terms of unemployment status at mean age 43. METHODS: We gathered longitudinal data on a prospective cohort taken from a community sample (N = 548). Forty-nine percent of the original participants were females. Over 90% of the participants were white. The participants were followed from adolescence to early midlife. The mean ages of participants at the follow-up interviews were 14.1, 16.3, 22.3, 27.0, 31.9, 36.6, and 43.0, respectively. We used the growth mixture modeling (GMM) approach to identify the trajectories of marijuana use over a 29-year period. RESULTS: Five trajectories of marijuana use were identified: chronic users/decreasers (8.3%), quitters (18.6%), increasing users (7.3%), chronic occasional users (25.6%), and nonusers/experimenters (40.2%). Compared with nonusers/experimenters, chronic users/decreasers had a significantly higher likelihood of unemployment at mean age 43 (adjusted odds ratio = 3.51, 95% confidence interval = 1.13-10.91), even after controlling for the covariates. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: The results of the associations between the distinct trajectories of marijuana use and unemployment in early midlife indicate that it is important to develop intervention programs targeting chronic marijuana use as well as unemployment in individuals at this stage of development. Results from this study should encourage clinicians, teachers, and parents to assess and treat chronic marijuana use in adolescents.

Psychosocial Predictors of Mental Health Service Utilization Among Women During their Mid-Sixties.

This prospective study examined the longitudinal pathways to the utilization of mental health services among women in their mid-sixties. Earlier educational level, psychological symptoms, cigarette use, and physical diseases and later psychological symptoms were examined as predictors of mental health services utilization. The sample consisted of a prospective cohort of women (N = 511) who were followed from young adulthood (mean age = 32) to late midlife (mean age = 65). Using structural equation modeling, the results supported a mediational model showing that earlier low educational level and greater psychological symptoms predicted increased cigarette smoking. Cigarette smoking predicted later physical diseases and symptoms. Physical diseases and symptoms were related to financial difficulty and later psychological symptoms and, ultimately, the use of mental health services by women in the mid-sixties.

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.

Trajectories of Marijuana Use Beginning in Adolescence Predict Tobacco Dependence in Adulthood.

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.

Insomnia in adults: the impact of earlier cigarette smoking from adolescence to adulthood.

OBJECTIVES: This study examined the role of cigarette smoking beginning in adolescence and extending to the fifth decade of life on insomnia at an average age of 43 years in the Children and Adults in the Community Study. METHODS: Participants were originally assessed in 1983 and came from a community-based random sample of individuals living in 2 upstate New York counties. Participants were assessed over 7 waves of data collection that spanned approximately 29 years, from mean ages 14.1 years (T2) to 42.9 years (T8). We classified the longitudinal trajectories of cigarette use. Five cigarette use trajectory groups were identified: heavy/continuous smokers, late starters, occasional smokers, quitters/decreasers, and nonsmokers. RESULTS: The result of the logistic regression analysis of adult insomnia for the Bayesian posterior probability of the heavy/continuous smokers when compared with the Bayesian posterior probability of nonsmokers was statistically significant-adjusted odds ratio of 3.35 [95% confidence interval (1.06-10.56; P < 0.05)]-after adjustment for control variables. CONCLUSIONS: The findings highlight the importance of heavy chronic smoking as contributing to insomnia. Clinicians should focus their efforts on smoking prevention and treatment of younger individuals, as well as promoting cessation among older adult smokers to decrease the likelihood of insomnia.

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.