Gender Differences in Drug Use among Individuals Under Arrest.

Background: Drug monitoring by drug testing of individuals under arrest provides an opportunity to detect drug use patterns within geographic areas. However, women have been omitted from large-scale monitoring efforts in criminal justice populations. The purpose of this study was to examine whether gender differences exist in drug use indicated by oral fluid collected in one U.S. jail. Methods: The study analyzed data collected in 2019-2020 from individuals under arrest (N = 191). Twenty-four percent of the sample identified as female. Oral fluid specimens were collected and then analyzed with enzyme-linked immunosorbent assay and liquid chromatography/tandem mass spectrometry. Logit regression models examined gender differences. Results: Women were more likely to test positive for methamphetamines than men (41% versus 22%, OR = 0.42, 95% CI 0.21-0.84). Significant gender differences were not found for other substances (marijuana, cocaine, and opioids), legality of drugs, or overall drug use. Conclusions: Because the National Institute on Drug Abuse aims to promote health equity, future drug monitoring in criminal justice populations should employ sampling approaches representing both women and men. This research would identify possible gender-based patterns of drug use and inform gender-based policies and clinical practices to prevent and treat drug misuse.

Type 1 diabetes self-management behaviors among emerging adults: Racial/ethnic differences.

BACKGROUND: Emerging adulthood is a vulnerable period for poor blood glucose control and self-management behaviors (SMBs) among individuals with type 1 diabetes. Racial/ethnic minority young adults have poorer glycemic outcomes than non-Hispanic whites; however, little is known about possible racial/ethnic differences in frequency of SMBs among emerging adults (EAs). OBJECTIVE: To examine racial/ethnic differences in SMBs and to determine associations between SMBs and blood glucose control. METHODS: A sample of EAs (ages 18-25 years; N = 3456) from the type 1 diabetes exchange registry was used to conduct multivariate analyses to examine (a) racial/ethnic differences in SMBs and (b) associations between SMBs and blood glucose control for each racial/ethnic group. RESULTS: Compared to non-Hispanic whites, African Americans and Hispanics less frequently took an insulin bolus for snacks, less frequently checked blood glucose with a meter, and were more likely to not use insulin to carbohydrate ratios. African Americans also less frequently checked blood glucose prior to mealtime boluses and more frequently missed insulin doses. SMBs that were associated with blood glucose control across groups were frequency of checking blood glucose at mealtime, missing an insulin dose, and checking blood glucose with a meter. CONCLUSIONS: Promoting two SMBs: checking blood glucose and taking insulin doses as needed among African American EAs may be important to address racial disparities in glycemic outcomes. Future research should evaluate possible social and contextual mechanisms contributing to low engagement in these behaviors among African Americans to inform strategies to address racial differences in glycemic outcomes.

Youth Access to Medical Homes and Medical Home Components by Race and Ethnicity.

OBJECTIVES: Medical homes are an effective model of primary care. Historically, however, racial and ethnic minorities have not had equal access to medical homes. The present study estimated the national prevalence of youth's access to a medical home and its components by race and ethnicity. METHODS: We conducted secondary data analysis using the 2016-2017 National Survey of Children's Health, a nationally representative, cross-sectional survey of U.S. youth age 0-17 years (N = 62,308). We obtained weighted and unweighted descriptive statistics and conducted multivariate logit regression models. RESULTS: Although 49% of the total sample had access to a medical home, 57.1% of white youth had access compared to 37% of Hispanic youth and 39.7% of black youth. Among youth without a medical home, black youth had less access than white youth to a usual place for care (64.7% vs. 55.3%, adjusted odds ratio [aOR] = 0.82, 95% confidence interval [CI] 0.69-0.97) and family-centered care (78.1% vs. 66.7%, aOR = 0.64, 95% CI 0.52-0.79). Hispanic youth (68.2%) also had less access to family-centered care than white youth (aOR = 0.73, 95% CI 0.60-0.89). White youth were less likely to have access to effective care coordination, when needed, than Hispanic youth (46.2% vs. 53.5%, aOR = 1.35, 95% CI 1.09-1.66). CONCLUSIONS FOR PRACTICE: Our findings suggest racial/ethnic disparities exist in youth's access to a medical home and its components. We posit the need for continued efforts to enhance access to medical homes for all youth. Future studies need to examine systemic barriers to youth's access to medical homes.

Uncovering Profiles of Economic, Social, and Cultural Capital to Explore Depression Across Racial Groups.

Research exploring the association between socio-economic status (SES) and depression is limited by conceptualizations of SES and conflicting findings across racial groups. We broaden previous research by (1) reconceptualizing SES through the lens of Bourdieusian theory to identify profiles of economic, social, and cultural capital; (2) investigating whether these profiles differ for Black and white adults; and (3) exploring whether specific profiles of capital are associated with increased depression scores. This study analyzed secondary data from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative sample of US individuals. A sub-population of the sample was used, which was comprised of 4339 Black and white participants from wave IV. To address the study aims, we used the new three-step approach to conducting latent class analysis. We identified five profiles of capital, the composition of which varied by race. Compared to Blacks, whites were more likely to be in the "cultural-economic capital" (14% vs. 10%), "elevated overall capital" (35% vs. 14%), and "social-economic capital" (13% vs. 10%) profiles, whereas Blacks were more likely to be in the "limited overall capital" (35% vs. 16%) and "moderate economic capital" (32% vs 22%) profiles. Profiles differed in risk for depression; the "limited overall capital" profile had the highest depression scores, whereas the "elevated overall capital" profile had the lowest depression scores. This research has the potential to reduce health disparities, by providing policy makers and researchers with information that will allow them to target populations that are most at risk for depression.

Diabetes-Specific and General Life Stress and Glycemic Outcomes in Emerging Adults With Type 1 Diabetes: Is Race/Ethnicity a Moderator?

Objective: This study examines whether race/ethnicity moderates relationships of (a) diabetes stress and general life stressors with (b) diabetes outcomes of glycemic control and diabetic ketoacidosis (DKA) among emerging adults (aged 18-25 years) with type 1 diabetes (T1D). Method: Using a T1D Exchange Registry sample of non-Hispanic White, African American, and Hispanic emerging adults (N = 3,440), multiple group analyses were used to determine whether race/ethnicity moderates the relationships between stress and diabetes outcomes. Results: The relationships between the two stress types and glycemic control did not differ between African American and non-Hispanic Whites. However, as compared with non-Hispanic Whites, the association between higher diabetes-specific stress and poorer glycemic control was significantly stronger for Hispanics, and Hispanics had poorer glycemic control when they experienced a relatively fewer number of general life stressors than non-Hispanic Whites. The relationships between the type of stress (diabetes-specific and general stress) and DKA did not differ across racial/ethnic groups. Conclusions: Future research should evaluate possible mechanisms that contribute to the different relationships of stress with glycemic control among Hispanics compared with non-Hispanic Whites.