Cannabis Use Associations with Adverse Psychosocial Functioning among North American College Students.

Introduction: Adolescent-onset cannabis use (CU) (before age 18) is associated with multiple adverse psychosocial outcomes, but rates of CU peak between the ages of 18 and 22, coinciding with college matriculation. Whether CU among college-enrolled young adults is associated with similar psychosocial outcomes is poorly understood. In the present study, we examined relationships between CU and multiple psychosocial outcomes in North American college students. Methods: Data for this report come from N = 40,250 North American college students ages 18-to-25 years (mean age = 20.7 years, 69% female, 66% Caucasian) who participated in the Healthy Minds Study (HMS) 2016-17. HMS is a web-based annual survey querying multiple mental health, substance use, and psychosocial variables in representative student populations from 53 universities across North America. Student respondents were stratified in two groups based upon their self-report of past 30-day CU and compared on psychosocial variables. Results: Approximately 20% (n = 8,327) of student respondents reported past 30-day CU. After adjusting for socio-demographics, knowledge of campus services, and use of other drugs, the odds of depression (aOR = 1.3), suicidal thoughts and behaviors (aORs ∼1.4-1.7), anxiety (aOR = 1.2), eating disorders (aOR = 1.2), and violence victimization (aOR = 1.4) were all higher for CU students. Additionally, CU students had higher rates of other drug use and lower rates of perceived supportive relationships. Conclusion: Our results indicated that CU is common among North American college students and associated with adverse psychosocial consequences across multiple domains. Based upon these findings, colleges should consider expanding educational, prevention, and early-intervention programs for students who use cannabis.

Pathways from health beliefs to treatment utilization for severe depression.

BACKGROUND: Untreated depression is associated with negative behavioral, psychosocial, and physical outcomes leading to socioeconomic costs, disability, and premature mortality. Research has not yet fully developed intervention models to increase the utilization of mental health treatments. The objective of the current study was to characterize the pathways linking health beliefs to treatment utilization among depressed young adults. METHODS: Data were collected in 2017 from 53,760 college students at 54 universities in the United States. Among the respondents, 5,343 screened positive for moderately severe to severe depression. Becker's Health Belief Model (HBM) was the guiding theoretical paradigm. Confirmatory factor analysis and structural equation modeling (SEM) were conducted to elucidate treatment-seeking behavior based on health beliefs (perceived severity, perceived benefit, perceived barriers, self-efficacy, and cues-to-action) while controlling for relevant sociodemographic covariates. RESULTS: Depression treatment utilization was significantly associated with all domains of the HBM. SEM parameter estimates indicated that higher levels of perceived severity, self-efficacy, and cues-to-action were associated with greater depression treatment utilization, whereas perceived benefits and perceived barriers were associated with lower depression treatment utilization. CONCLUSIONS: The HBM may be useful to predict the frequency of seeking treatment by individuals for depression. However, individualized intervention strategies targeting different aspects of the HBM are needed to promote help-seeking behaviors in young adults with depression.

Absence of a Link Between Childhood Parental Military Service on Depression and Anxiety Disorders Among College Students.

BACKGROUND: Current prevalence estimates are 15% for depression and 20% for anxiety disorders among college students. These disorders are known to negatively impact academic achievement and persistence. It is important to understand the effects of parental military service on the mental health of children across development. The purpose of this study is to examine the influence of being raised in a military household on current and historical depression and anxiety disorders among college students. METHODS: The Patient Health Questionnaire-2, the Generalized Anxiety Disorder-7 questionnaire, and history of previous depression or anxiety diagnoses were used to determine mental health outcomes. Survey questions regarding parental military service and its nature and demographic covariates comprised the remainder of the instrument. Participants were 299 college students aged 18 yr and over and enrolled in a large, urban-based, state research university. RESULTS: There was a positive correlation between parental military service and the odds of having been previously diagnosed with or treated for depression (OR = 1.97, r = 0.126, p ≤ 0.05). However, after multivariate adjustment for demographic covariates, statistical significance was not maintained. CONCLUSION: These findings continue to draw attention to potential health disparities associated with growing up in a military household. However, these results also suggest that children of military families exhibit significant resilience and that parental military service may not be a reliable predictor of mental health issues among college students after accounting for the influence of demographic factors. These findings may have implications for health care providers who treat dependents of military service members.

Family history and risk of hair loss.

INTRODUCTION: The genetic basis of androgenetic alopecia (AGA) is well accepted in the medical community and among the general population. However, rigorous studies investigating the familial basis of AGA are lacking. The purpose of the current study was to explore the relationship between family history and expression of AGA in a sample of men from the general community. METHODS: Hair loss was assessed by an independent observer trained by an expert dermatologist using the Norwood/Hamilton classification scale and a 7-point global description of hair loss. Men were classified into two groups, one as having little or no hair loss and the other having hair loss. The family history of hair loss in parents and grandparents was assessed by subject self-report. RESULTS: Adjusting for age, men whose fathers had hair loss were 2.5 times as likely to have had some level of hair loss compared to men whose fathers had no hair loss (95% CI: 1.3-4.9). Likewise, men whose fathers had hair loss were twice as likely to have hair loss than men whose fathers had no hair loss even after adjusting for age (OR = 2.1, 95% CI: 1.2-3.7 and OR = 2.5, 95% CI: 1.4-4.7 for Norwood/Hamilton and global description of hair loss assessments, respectively). CONCLUSION: Results suggest that the probability of male pattern hair loss is dependent on family history and age. Hair loss in a man's father also appears to play an important role in increasing a man's risk of hair loss, either in conjunction with a history of hair loss in the mother or hair loss in the maternal grandfather.