Using the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) to Predict Gambling Disorder Among U.S. College Students.

The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) screening tool has not previously been used to evaluate risk for gambling disorder (GD). We aimed to assess the level at which each specific substance involvement score (SSIS), measured by ASSIST, most optimally predicted GD among U.S. college students. Data were analyzed for 141,769 students from the National College Health Assessment (fall 2019-spring 2021) utilizing multivariable logistic regression models. Sensitivities and specificities were utilized to find optimal cutoffs that best identified those with GD, overall and by biological sex and age group. Lower threshold of substance risk related to prescription opioids, cocaine, and hallucinogens (all with SSIS cutoffs of 4) predicts gambling disorder compared to sedatives (SSIS cutoff of 19). Younger students had lower thresholds of substance risk predicting GD than older students for heroin, but for all other substance classifications students 25 years and older had lower thresholds of SSIS predicting GD than students 18-24 years old. This study aids in the understanding that substance use behavior may put students at risk for other addictive behaviors such as GD. This study is the first to utilize the ASSIST tool to predict GD among U.S. college students, extending its application beyond substance use disorders. The identification of optimal cutoffs for each SSIS provides a novel approach to concurrently screen for GD and substance use disorders. This unique contribution could enhance early detection and intervention strategies for GD in the college student population.

Intersectionality of demographic characteristics in self-reported anorexia nervosa, bulimia nervosa, and probable eating disorders among college students.

OBJECTIVE: To investigate associations between identity intersectionality, with a primary focus on minority identity, and probable eating disorders (EDs) within the US college student population. METHOD: Data consisting of n = 414,299 college students' responses to the American College Health Association's National College Health Assessment between fall 2015 and spring 2019 were utilized for this study. Overall and stratified adjusted odds ratios (aORs) were used to assess the association between different facets of identity (i.e., race/ethnicity, gender identity, and sexual orientation) and probable EDs. RESULTS: Among all, in our analytic sample, 7.15% reported a probable ED. Interactions between all three identity variables were significant, and thus stratified odds ratios were evaluated. Transgender men were significantly more likely to report probable ED than cisgender male peers within the following racial/ethnic groups: non-Hispanic White (aOR: 3.33; 95% CI: 2.79, 3.96; p < .0001), non-Hispanic Black (aOR: 3.29; 95% CI: 1.72, 6.28; p = .0003), Hispanic (aOR: 2.31; 95% CI: 1.55, 3.43; p < .0001), Asian or Pacific Islander (aOR: 2.19; 95% CI: 1.45, 3.30; p = .0002), Biracial or Multicultural (aOR: 3.36; 95% CI: 2.17, 5.22; p < .0001), and other (aOR: 4.19; 95% CI: 2.25, 7.79; p < .0001). CONCLUSIONS: This study underscores the importance of increasing our understanding of interactions between marginalized identities and the ways in which minority identity informs ED risk. PUBLIC SIGNIFICANCE: The impact of multiple marginalized identities on ED outcomes is not well understood. Our study expands on previous ACHA-NCHA studies by addressing identity intersectionality, looking at more than one identity at a time (i.e., specifically race/ethnicity, gender identity, and sexual orientation). Our results contribute unique risk profiles for students who identify with multiple marginalized groups. Further, they indicate that that these associations vary based on the compounded effect of the demographic factors considered.

Eating disorders and substance use: Examining associations among US college students.

OBJECTIVE: To investigate associations between reported eating disorder (ED) diagnosis and substance use disorder (SUD) diagnosis, substance misuse, and illicit drug use among US college students. METHOD: Data consisting of n = 414,299 students' responses to the National College Health Assessment survey conducted by the American College Health Association between fall 2015 and spring 2019 were utilized for this study. Unadjusted and adjusted odds ratios were used to determine the association of reported ED diagnosis with reported SUD diagnosis, misuse of cigarettes, e-cigarettes, alcohol, marijuana, cocaine/methamphetamine, sedatives, hallucinogens, opiates, inhalants, MDMA, and other club drugs, as well as illicit use of prescription pain killers, prescription sedatives, and prescription stimulants. A sensitivity analysis investigating associations between reported anorexia nervosa (AN), bulimia nervosa (BN), and each substance use outcome was also conducted. RESULTS: Among all in our analytic cohort, 7.15% reported receiving an ED diagnosis or being treated for an ED in the last 12 months. Students with ED indications were significantly more likely to report each of the substance use outcomes investigated in this study, including SUD diagnosis (aOR: 7.43; 95% CI: 6.98, 7.92; p < .0001), opiate misuse (aOR: 8.35; 95% CI: 7.38, 9.45; p < .0001), and misuse of other club drugs (aOR: 10.37; 95% CI: 9.10, 11.81; p < .0001) than peers without reported EDs. Both AN and BN were associated with an increased likelihood of SUD diagnosis. DISCUSSION: These findings demonstrate strong associations between EDs and the most extensive list of substance use outcomes explored in the context of college setting ED research to date.

Sexuality and Gender Identity Inequities in Substance Use Disorder and Its Treatment among American Indian, Alaska Native, and Native Hawaiian College Students.

BACKGROUND: The aim of this study was to investigate inequities in substance use disorder (SUD) diagnosis, opioid misuse, marijuana misuse, SUD treatment utilization, and utilization of university mental health services among sexual and gender minority (SGM) American Indian, Alaska Native, and Native Hawaiian (AI/AN/NH) college students. METHODS: Data consisting of 8,103 AI/AN/NH students' responses to the American College Health Association's National College Health Assessment survey from fall 2015 through spring 2019 were utilized for this study. Multivariable logistic regression models were used to compare the odds of SUD diagnosis, opioid misuse, and marijuana misuse in SGM AI/AN/NH students to cisgender, heterosexual peers. Unadjusted odds of SUD treatment utilization and utilization of university mental health services were also evaluated. RESULTS: Compared to cisgender females, transgender (aOR = 4.43, 95% CI = 2.67-7.34) and gender diverse (aOR = 2.86, 95% CI = 1.61-5.07) students had significantly higher odds of SUD diagnosis. Similarly, significantly higher odds of SUD diagnosis were observed among sexual minorities, including gay/lesbian (aOR = 2.95, 95% CI = 1.71-5.09) and bisexual (aOR = 1.97, 95% CI = 1.30-2.99) students compared to heterosexual peers. Sexual minority students had significantly higher odds of utilizing university mental health services (uOR = 2.43, 95% CI = 1.22-4.84) than heterosexual peers. Odds of opioid misuse and marijuana misuse were also significantly increased among sexual minority students. CONCLUSIONS: AI/AN/NH college students who identify as SGM have higher odds of SUD diagnosis, opioid misuse, and marijuana misuse than their cisgender, heterosexual peers. These findings highlight the need to consider tailored programming for SGM AI/AN/NH students in substance use prevention and intervention efforts in U.S. college settings.

The associations between COVID-19 diagnosis, type 1 diabetes, and the risk of diabetic ketoacidosis: A nationwide cohort from the US using the Cerner Real-World Data.

OBJECTIVE: To assess the risk of new-onset type 1 diabetes mellitus (T1D) diagnosis following COVID-19 diagnosis and the impact of COVID-19 diagnosis on the risk of diabetic ketoacidosis (DKA) in patients with prior T1D diagnosis. RESEARCH DESIGN AND METHODS: Retrospective data consisting of 27,292,879 patients from the Cerner Real-World Data were used. Odds ratios, overall and stratified by demographic predictors, were calculated to assess associations between COVID-19 and T1D. Odds ratios from multivariable logistic regression models, adjusted for demographic and clinical predictors, were calculated to assess adjusted associations between COVID-19 and DKA. Multiple imputation with multivariate imputation by chained equations (MICE) was used to account for missing data. RESULTS: The odds of developing new-onset T1D significantly increased in patients with COVID-19 diagnosis (OR: 1.42, 95% CI: 1.38, 1.46) compared to those without COVID-19. Risk varied by demographic groups, with the largest risk among pediatric patients ages 0-1 years (OR: 6.84, 95% CI: 2.75, 17.02) American Indian/Alaskan Natives (OR: 2.30, 95% CI: 1.86, 2.82), Asian or Pacific Islanders (OR: 2.01, 95% CI: 1.61, 2.53), older adult patients ages 51-65 years (OR: 1.77, 95% CI: 1.66, 1.88), those living in the Northeast (OR: 1.71, 95% CI: 1.61, 1.81), those living in the West (OR: 1.65, 95% CI: 1.56, 1.74), and Black patients (OR: 1.59, 95% CI: 1.47, 1.71). Among patients with diagnosed T1D at baseline (n = 55,359), 26.7% (n = 14,759) were diagnosed with COVID-19 over the study period. The odds of developing DKA for those with COVID-19 were significantly higher (OR 2.26, 95% CI: 2.04, 2.50) than those without COVID-19, and the largest risk was among patients with higher Elixhauser Comorbidity Index. CONCLUSIONS: COVID-19 diagnosis is associated with significantly increased risk of new-onset T1D, and American Indian/Alaskan Native, Asian/Pacific Islander, and Black populations are disproportionately at risk. In patients with pre-existing T1D, the risk of developing DKA is significantly increased following COVID-19 diagnosis.