A Latent Transition Analysis of Self-Reported Reasons for Marijuana Use During Young Adulthood.

Individuals' reasons for marijuana use have been linked to their risk for continued use and development of disordered use. Although individuals tend to have multiple reasons for use, co-occurrence of reasons is not always accounted for in analytic approaches. Latent transition analysis (LTA) is ideal for modeling transitions in co-occurring reasons. Using longitudinal panel data from Monitoring the Future, LTA was used to identify profiles of self-reported reasons for marijuana use among young adults, examine transitions between profiles, and determine whether cohort, gender, race/ethnicity, parent education, grade of first marijuana use, and 4-year college attendance predicted transitions between profiles. Data included senior year cohorts from 1976-2009 and were collected at ages 19/20, 21/22, and 23/24 (weighted n = 7,294; 55.9% female; 79.3% White). Five latent classes were identified: Non-Users and individuals with Experimental, Typical, Get High + Relax, and Escape + Coping Reasons. Transitions among Non-Users, Experimental Reasons, and Typical Reasons were common; generally, those with earlier cohort membership, early initiation, college non-attending parents, and college attendance were more likely to make transitions to higher-risk classes. As the legalization of recreational marijuana use continues to expand, change over time in reasons for use should be considered carefully as interventions are developed and implemented.

A latent class analysis of heavy substance use in Young adulthood and impacts on physical, cognitive, and mental health outcomes in middle age.

BACKGROUND: This study examines whether longitudinal patterns of persistent or experimental heavy substance use across young adulthood were associated with physical and mental health in midlife. METHODS: Data (N = 21,347) from Monitoring the Future from adolescence (age 18) to midlife (age 40) were used. Repeated measures latent class analysis modeled patterns of patterns of cigarettes, alcohol, marijuana, and other illicit drugs across young adulthood (ages 18-30). Latent classes were then used as predictors of physical health problems, cognitive problems, self-rated health, and psychological problems in midlife (age 40), while controlling for sociodemographic variables (i.e., gender, race/ethnicity, parental education). RESULTS: Identified classes were "Extreme Heavy Users" (3.9%), "Early Young Adult Users" (8.9%), "Cigarette Smokers" (9.2%), "All But Cigarette Smokers" (5.0%), "Frequent Alcohol Bingers" (10.4%), and "Not-Heavy Users" (62.6%). Extreme Heavy Users, Early Young Adult Users, and Cigarette Smokers had significantly poorer overall health based on a number of physical conditions and self-rated health. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers had more cognitive problems than other classes. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers were more likely to see a health professional for a psychological problem. CONCLUSIONS: Patterns of heavy substance use were associated with health across decades. Regular cigarette smokers and heavy users across substances and ages had the worst health in midlife, although even those with time-limited use during young adulthood were at risk for later physical and cognitive health problems.

Medical-encounter mental health diagnoses, non-fatal injury and polypharmacy indicators of risk for accident death in the US Army enlisted soldiers, 2004-2009.

Accidents are a leading cause of deaths in U.S. active duty personnel. Understanding accident deaths during wartime could facilitate future operational planning and inform risk prevention efforts. This study expands prior research, identifying health risk factors associated with U.S. Army accident deaths during the Afghanistan and Iraq war. Military records for 2004-2009 enlisted, active duty, Regular Army soldiers were analyzed using logistic regression modeling to identify mental health, injury, and polypharmacy (multiple narcotic and/or psychotropic medications) predictors of accident deaths for current, previously, and never deployed groups. Deployed soldiers with anxiety diagnoses showed higher risk for accident deaths. Over half had anxiety diagnoses prior to being deployed, suggesting anticipatory anxiety or symptom recurrence may contribute to high risk. For previously deployed soldiers, traumatic brain injury (TBI) indicated higher risk. Two-thirds of these soldiers had first TBI medical-encounter while non-deployed, but mild, combat-related TBIs may have been undetected during deployments. Post-Traumatic Stress Disorder (PTSD) predicted higher risk for never deployed soldiers, as did polypharmacy which may relate to reasons for deployment ineligibility. Health risk predictors for Army accident deaths are identified and potential practice and policy implications discussed. Further research could test for replicability and expand models to include unobserved factors or modifiable mechanisms related to high risk. PTSD predicted high risk among those never deployed, suggesting importance of identification, treatment, and prevention of non-combat traumatic events. Finally, risk predictors overlapped with those identified for suicides, suggesting effective intervention might reduce both types of deaths.

Reasons for Marijuana Use Among Young Adults and Long-Term Associations With Marijuana Use and Problems.

OBJECTIVE: This study examines reasons for marijuana use among young adults age 19/20 in the United States and the extent to which patterns of reasons are associated with marijuana use and problems 15 years later. METHOD: The national Monitoring the Future study provided data on marijuana users at age 19/20 who were also surveyed at age 35 (n = 2,288; 50% women; 83% White). Latent class analysis was used to identify distinct patterns of reasons for marijuana use, which were then used as predictors of later marijuana use and problems. RESULTS: Five latent classes described the following patterns of reasons for marijuana use at age 19/20: Experimental, Get High + Relax, Typical, Typical + Escape, and Coping + Drug Use. Highest risk for later marijuana use and problems was found for people with Coping + Drug Use and Get High + Relax reasons in young adulthood; those with Experimental reasons were at lowest risk for later use or problems. CONCLUSIONS: Coping and getting high emerged as strong predictors of later marijuana use and problems. Results support the predictive value of self-reported reasons for using marijuana among young adults.

Smoking and suicidal behaviors in the National Comorbidity Survey: Replication.

Controversy exists about the role of mental disorders in the consistently documented association between smoking and suicidal behavior. This controversy is addressed here with data from the nationally representative National Comorbidity Survey-Replication (NCS-R). Assessments were made of 12-month smoking, suicidal behaviors (ideation, plans, attempts), and DSM-IV disorders (anxiety, mood, impulse-control, and substance use disorders). Statistically significant odds ratios (2.9-3.1) were found between 12-month smoking and 12-month suicidal behaviors. However, the associations of smoking with the outcomes became insignificant with controls for DSM-IV mental disorders. Although clear adjudication among contending hypotheses about causal mechanisms cannot be made from the cross-sectional NCS-R data, the results make it clear that future research on smoking and suicidal behaviors should focus more centrally than previous research on mental disorders either as common causes, markers, or mediators.