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.

Graduate student burnout: Substance use, mental health, and the moderating role of advisor satisfaction.

Substance use and mental health problems are associated with academic difficulties among high school and undergraduate students, but little research has been conducted on these relationships among graduate students. The sample consisted of 2,683 graduate students attending two large, public universities. Standard measures were used to collect data on demographic and program characteristics, mental health, substance use, advisor satisfaction, and burnout (i.e., exhaustion, cynicism, and inefficacy). Linear regression models evaluated relationships between each mental health and substance use variable with burnout, as well as the moderating role of advisor satisfaction. Students with a greater number of substance use and mental health problems had higher levels of exhaustion, cynicism, and inefficacy. No statistically significant relationships between substance use and burnout were found. High levels of stress, moderate or severe anxiety symptoms, and moderate or severe depressive symptoms were associated with increased levels of burnout. Advisor support moderated the relationships between stress and both cynicism and inefficacy such that the effects of stress on these dimensions of burnout were lower among those who were satisfied with their advisor. Graduate students with mental health problems might be at increased risk for burnout; however, having a supportive advisor might buffer this association.

Substance use and mental health problems among graduate students: Individual and program-level correlates.

OBJECTIVE: This study evaluated variation in substance use and mental health among graduate student subgroups. PARTICIPANTS: A sample of 2,683 master's and doctoral students completed an online survey in October 2017. METHODS: Subgroup variation in behavioral health by demographic and program characteristics, particularly degree type and academic discipline, was explored. RESULTS: Compared with academic doctoral students (ie, PhD students), professional doctoral students (ie, MD, JD, etc.) were significantly more likely to report high stress levels and moderate or severe anxiety symptoms. Master's students were more likely to report moderate or severe anxiety symptoms and use marijuana than academic doctoral students. Students in the behavioral and social sciences, social work, and arts and humanities disciplines were more likely to use substances and report mental health problems than engineering and business students. CONCLUSIONS: These findings highlight graduate student subgroups who might require closer attention with respect to access to behavioral health services.

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.

Graduate degree completion: Associations with alcohol and marijuana use before and after enrollment.

Research has shown that alcohol and marijuana use are associated with academic performance difficulties, but the relationship to completion of a graduate degree has not been explored. Undergraduate students (n = 1253) were assessed during their first year of college and annually thereafter until age 29. Among the subset of the original sample who enrolled in graduate school (n = 520), measures of alcohol and marijuana use were averaged separately for the time periods before and after graduate school enrollment. Logistic regression models were developed to examine the associations between these variables and graduate degree completion, adjusting for other factors. In general, a minority of the sample were excessive drinkers or frequent marijuana users. The majority of drinkers (70%) drank an average of twice a week or less each year, and 62% of marijuana users used marijuana once a month or less each year. After adjusting for demographic and program characteristics, marijuana use frequency after graduate school enrollment was negatively associated with odds of graduate degree completion. Alcohol use frequency before graduate school enrollment was positively associated with odds of graduate degree completion. Results add to the growing body of literature on marijuana use and decreased academic achievement, but results should be interpreted with caution given the small, but significant, effect sizes found. The positive association between alcohol use frequency and degree completion might be attributed to engagement in the academic environment. Future studies should examine the potential mechanisms through which alcohol and marijuana use are related to the academic achievement of graduate students.

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.

Stroke survivors with severe mental illness: Are they at-risk for increased non-psychiatric hospitalizations?

BACKGROUND: This study examined outcomes for two groups of stroke survivors treated in Veteran Health Administration (VHA) hospitals, those with a severe mental illness (SMI) and those without prior psychiatric diagnoses, to examine risk of non-psychiatric medical hospitalizations over five years after initial stroke. METHODS: This retrospective cohort study included 523 veterans who survived an initial stroke hospitalization in a VHA medical center during fiscal year 2003. The survivors were followed using administrative data documenting inpatient stroke treatment, patient demographics, disease comorbidities, and VHA hospital admissions. Multivariate Poisson regression was used to examine the relationship between patients with and without SMI diagnosis preceding the stroke and their experience with non-psychiatric medical hospitalizations after the stroke. RESULTS: The study included 100 patients with SMI and 423 without SMI. Unadjusted means for pre-stroke non-psychiatric hospitalizations were higher (p = 0.0004) among SMI patients (1.47 ± 0.51) compared to those without SMI (1.00 ± 1.33), a difference which persisted through the first year post-stroke (SMI: 2.33 ± 2.46; No SMI: 1.74 ± 1.86; p = 0.0004). Number of non-psychiatric hospitalizations were not significantly different between the two groups after adjustment for patient sociodemographic, comorbidity, length of stay and inpatient stroke treatment characteristics. Antithrombotic medications significantly lowered risk (OR = 0.61; 95% CI: 0.49-0.73) for stroke-related readmission within 30 days of discharge. CONCLUSIONS: No significant differences in medical hospitalizations were present after adjusting for comorbid and sociodemographic characteristics between SMI and non-SMI stroke patients in the five-year follow-up. However, unadjusted results continue to draw attention to disparities, with SMI patients experiencing more non-psychiatric hospitalizations both prior to and up to one year after their initial stroke. Additionally, stroke survivors discharged on antithrombotic medications were at lower risk of re-admission within 30 days suggesting the VHA should continue to focus on effective stroke management irrespective of SMI.

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.