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

Trends in coping reasons for marijuana use among U.S. adolescents from 2016 to 2022

OBJECTIVE

This study examines historical trends in coping reasons for marijuana use among adolescents (1976-2022) and explores sociodemographic variations in recent years (2016-2022).

METHOD

Data from U.S. national samples of 12th grade adolescents in the Monitoring the Future (MTF) study were used to examine long-term trends (1976-2022, N = 43,237) and recent differences by sociodemographic characteristics (2016-2022, N = 3,816). Measures included marijuana use, coping reasons for use, and sociodemographic characteristics.

RESULTS

The most prevalent coping reason across time was "relax," endorsed by 52.9% of past 12-month users. Coping reasons mostly exhibited significant increases over time. Sociodemographic factors were associated with coping reasons. Females had higher odds of using marijuana to escape problems and get through the day (vs. males). Black respondents were more likely to use marijuana to get through the day, and Hispanic respondents were more likely to use to relax (vs. White respondents). Those with lower (vs. higher) parental education were more likely to use due to anger/frustration and to escape problems. Adolescents who used marijuana frequently (vs. less often) had higher odds of endorsing all coping reasons. There was no robust evidence of interactions between sociodemographic characteristics and year.

CONCLUSIONS

Results indicate a consistent increase in coping reasons for adolescent marijuana use over time, with variations based on sociodemographic characteristics. The findings highlight the importance of understanding subpopulations of adolescents who have higher risk of coping-related marijuana use.

Transitions in Social Networks From Young-Old to Old-Old Stage of Life Using Latent Transition Analysis

Introduction: This study aimed to identify the different types of social networks among young-old adults, and to examine the transitions in social networks as they become old-old adults. Methods: This is a secondary data analysis using the longitudinal data (N = 1092) from the National Social Life, Health, and Aging Project. Latent class analysis was conducted to identify optimal number of classes and latent transition analysis was conducted to examine the transition probabilities. Results: Young-old adults in Class 1: family-oriented, social (close, external) transitioned into Class 2: family-oriented, non-social over time. In contrast, young-old adults in Class 2: family-oriented, non-social and Class 3: less family-oriented, social (close) were less likely to transition to another class. Conclusion: Older adults engaged in less social activities over time. Older adults should be encouraged to continue their social engagement with close social network of friends and relatives, and to maintain their relationship with family members.

Longitudinal profile of post-traumatic symptoms in HealthCare Workers during COVID-19 pandemic: A latent transition model

INTRODUCTION

Pandemics have the potential to be considered traumatic event, increasing the risk of developing post-traumatic stress symptoms (PTSS) in HealthCare Workers (HCW). However, few longitudinal studies have evaluated the impact of prolonged exposure to the risk imposed by COVID-19. Our aim was to identify subgroups of HCW with profiles of PTSS, how this profile changed during the pandemic and which variables were related to these changes.

METHODS

We evaluated the levels of PTSS and psychological distress in a Brazilian HealthCare Workers' sample (n = 1398) in three waves of assessment: from May to June 2020 (Wave 1), December 2020 to February 2021 (Wave 2) and May to August 2021 (Wave 3), using Latent Profile Analysis (LPA) to identify subgroups with different profiles of symptms, and then, Latent Transition Analysis (LTA) was applied to examine changes in symptom profiles over time, including gender, psychiatric diagnosis history, and pandemic-related fears as covariates.

RESULTS

two profiles were identified: high-PTSS profile (Wave 1-23%; Wave 2-64% and Wave 3-73%) and a low-PTSS (Wave 1-77%; Wave 2-36% and Wave 3-27%). Being female, fear of contamination, and fearing financial problems were strong predictors of changes in the profile. In addition, the participants had a high probability of being in the high-PTSS in the long run.

CONCLUSION

These results suggests that targeted interventions can mitigate the impact of pandemic. Providing financial support, and psychological support can be beneficial for those with psychiatric diagnoses and experiencing bereavement.

Childhood maltreatment and mental health problems in a 10-year follow-up study of adolescents in youth residential care: A latent transition analysis

Childhood maltreatment and mental health problems are common among young people placed out-of-home. However, evidence on the impact of maltreatment on the course of mental health problems in at-risk populations is sparse. The aim of this longitudinal study is twofold: (a) describe the course of mental health problems and the shift in symptom patterns among adolescents in youth residential care into young adulthood and (b) assess how childhood maltreatment is related to the course of mental health problems. One hundred and sixty-six adolescents in Swiss youth residential care were followed up into young adulthood (36.1% women; MAge-Baseline = 16.1 years; MAge-Follow-Up = 26.4 years). Latent transition analysis was employed to analyze transitions of symptom patterns and their association with maltreatment exposure. We found three latent classes of mental health problems: a "multiproblem"-class (51.8% baseline; 33.7% follow-up), a "low symptom"-class (39.2% baseline; 60.2% follow-up), and an "externalizing"-class (9.0% baseline; 6.0% follow-up). Individuals in the "multiproblem"-class were likely to transition towards less-complex symptom patterns. Higher severity of self-reported childhood maltreatment was associated with more complex and persistent mental health problems. Our study underlines the need for collaboration between residential and psychiatric care systems within and after care placements, with a specialized focus on trauma-informed interventions and care.

Patterns and predictors of perinatal posttraumatic stress symptoms: A latent transition analysis

BACKGROUND

Pregnancy is a time of increased risk for intimate partner violence (IPV), yet there is a dearth of prospective research examining the relationship between IPV and posttraumatic stress symptoms (PTSS) in the perinatal period. Further, relationships among different types of IPV and perinatal PTSS remain understudied.

METHODS

Latent class and transition analyses were used to examine classes of PTSS in pregnancy and postpartum, the longitudinal patterns of transitions across these classes, and the role of IPV types, childhood adversity, and depressive symptoms in PTSS presentation. Participants (N = 238) were drawn from two longitudinal studies of high-risk perinatal women.

RESULTS

Four latent PTSS classes emerged: High, Avoidant, Hypervigilant, and Low. Childhood adversity (χ²(3) = 13.09, p = .004), prenatal depression (χ²(3) = 17.58, p = .001), and psychological IPV (χ²(3) = 10.51, p = .01) were associated with membership in High, Avoidant, and Hypervigilant classes. Women with low prenatal PTSS continued to have low levels at postpartum. Women in higher severity classes during pregnancy tended to transition into classes with adjacent, and often lower, levels of symptom severity postpartum. Women in the High PTSS class in pregnancy with elevated levels of depression were significantly more likely to remain in the High PTSS class or transition into the Avoidant class at postpartum, compared to the Low PTSS class, χ²(3) = 11.84, p = .008.

LIMITATIONS

Relatively modest sample size precluded examination of a broader range of symptoms consistent with PTSD.

CONCLUSIONS

Findings highlight the importance of individualized approaches to assessing, monitoring, and treating perinatal PTSS.

Characteristics and reasons for use associated with solitary alcohol and marijuana use among U.S. 12th Grade Students, 2015-2021

BACKGROUND

Little is known regarding what sociodemographic characteristics and reasons for use are associated with adolescent solitary alcohol and marijuana use.

METHODS

Data from 7845 12th grade students participating in the nationally-representative Monitoring the Future study from 2015 to 2021 were used to examine cross-sectional associations between sociodemographics, heavy drinking/marijuana use, reasons for use, and past 12-month solitary alcohol or marijuana use among past 12-month users. Historical trends and possible differences related to the COVID-19 pandemic also were examined.

RESULTS

Solitary use prevalence increased from 2015 to 2021 with no evidence of significant COVID-19 deviations. In 2021, solitary alcohol use was reported by 32.1% (SE 3.01) and solitary marijuana use by 55.8% (4.72) of those reporting past 12-month use. Common and substance-specific sociodemographic risk factors were observed. Binge drinking was associated with solitary alcohol use; frequent marijuana use was associated with solitary marijuana use. Reasons for use related to coping with negative affect were associated with solitary use. Compulsive use reasons were more strongly associated with solitary alcohol than marijuana use. Drinking to have a good time with friends was negatively associated with solitary alcohol use but this association was not seen for solitary marijuana use.

CONCLUSIONS

The percentage of adolescents who use alcohol or marijuana when they were alone has increased among those who report using each substance. Associations between solitary use and (a) higher levels of consumption and (b) coping with negative affect highlight the importance of solitary use as a risk indicator.

Sun protection changes among diverse elementary schoolchildren participating in a sun safety intervention: A latent transition analysis of a randomized controlled trial

Children are a priority population for skin cancer prevention as excessive sun exposure in childhood increases the risk of melanoma in adulthood. The complexity of sun protective behaviors has posed measurement challenges for trials testing intervention efficacy. The current study evaluated a sun safety intervention for schoolchildren using latent transition analysis (LTA) to examine patterns of sun protection behaviors over time. A three-armed randomized controlled trial was conducted between 2012 and 2016 with two intervention groups (N = 3368) and an observation-only control group (N = 342) among 4th and 5th graders from 24 public schools in Los Angeles County. Both interventions conditions were grouped and compared to controls. Five self-reported sun protective behaviors were measured at baseline and three-month follow-up: use of sunscreen, long sleeves, long pants, hats, and shade seeking. Participants comprised 3710 schoolchildren, mean age 9 years, 47% female and 69% Latino. At baseline, four patterns of sun protection behaviors were found: children who engaged in 1) all sun protective behaviors; 2) few protective behaviors; 3) protective clothing and shade only; and 4) hats only. Children in the control group were likely to remain in their baseline status or transition to a less protective status at three-month follow-up. By contrast, 30% of children in the intervention group transitioned to a more protective status at follow-up. In this RCT of a sun safety intervention, children in the intervention transitioned to more protective behaviors compared to controls. Using LTA enriches understanding of intervention efficacy by modeling the complexity of sun protection behaviors over time. TRIAL REGISTRATION: School-based Randomized Trial of SunSmart Interventions, ClinicalTrials.gov Identifier: NCT04176237 https://clinicaltrials.gov/ct2/show/NCT04176237?cond=School-based+Randomized+Trial+of+SunSmart+Interventions&draw=2&rank=1.