Dataset Information

School Racial Composition as a Moderator of the Effect of Discrimination on Mental Health and Substance use Among American Indian Adolescents.

ABSTRACT:

Purpose

To examine the relationships between individual-level perceived racial/ethnic discrimination and mental health and substance use outcomes by school-level racial composition among American Indian (AI) adolescents.

Method

Self-reported survey data on individual-level variables come from a sample of AI adolescents (n = 510) living in or near the Cherokee Nation during the fall of 2021. School-level data come from publicly available databases. Multilevel linear and logistic regression analyses were performed to test for and examine the interaction between perceived racial/ethnic discrimination and school racial composition in relation to symptoms of anxiety and depression, past 30-day use of alcohol and marijuana, and misuse of prescription opioids.

Results

Adjusted analyses showed a significant interaction effect between discrimination and racial composition on anxiety symptoms, such that the effect of discrimination was more pronounced at lower % AI (10th percentile) than at more equivalently mixed (50th percentile) or higher % AI (90th percentile) school settings. No significant interactions were observed with depressive symptoms or substance use outcomes.

Discussion

School racial compositions of higher percentage AI may buffer the adverse effect of racial/ethnic discrimination on anxiety symptoms among AI adolescents.

SUBMITTER: Barry CM

PROVIDER: S-EPMC10926889 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

School Racial Composition as a Moderator of the Effect of Discrimination on Mental Health and Substance use Among American Indian Adolescents.

Barry Caroline M CM Livingston Melvin D MD Livingston Bethany J BJ Kominsky Terrence K TK Komro Kelli A KA

The Journal of adolescent health : official publication of the Society for Adolescent Medicine 20230920 1

<h4>Purpose</h4>To examine the relationships between individual-level perceived racial/ethnic discrimination and mental health and substance use outcomes by school-level racial composition among American Indian (AI) adolescents.<h4>Method</h4>Self-reported survey data on individual-level variables come from a sample of AI adolescents (n = 510) living in or near the Cherokee Nation during the fall of 2021. School-level data come from publicly available databases. Multilevel linear and logistic re ...[more]

PMID: 37737758

Similar Datasets

Project description:Using data from 89 American Indian adolescents and guided by the Network Episode Model, this paper analyses pathways to residential substance abuse treatment and their correlates. These adolescents were recruited at admission to a tribally-operated substance abuse treatment program in the southern United States from October 1998 to May 2001. Results from the qualitative analyses of these adolescent's pathways to care narratives indicated that 35% ultimately agreed with the decision for their entry into treatment; 41% were Compelled to enter treatment by others, usually by their parents, parole officers, and judges; and 24% did not describe a clear pathway to care. In the multinomial logistic regression model examining correlates of these pathways to care classifications, adolescents who described pathways indicative of agreement also reported greater readiness for treatment than the adolescents who described compelled or no clear pathways to care. Adolescents who described a Compelled pathway were less likely to meet diagnostic criteria for Conduct Disorder and described fewer social network ties. We were unable to find a relationship between pathways classifications and referral source, suggesting these narratives were subjective constructions of pathways to care rather than a factual representation of this process. In the final logistic regression model examining correlates of treatment completion, articulating a pathway to care, whether it was one of agreement or of being compelled into treatment, predicted a greater likelihood of completing treatment. Overall, these narratives and their correlates are highly consistent with the Network-Episode Model's emphasis on the interaction of self, situation, and social network in shaping the treatment seeking process, demonstrating the applicability of this model to understanding the treatment seeking process in this special population and suggests important considerations for understanding the dynamics of service utilization across diverse communities.

Project description:BackgroundFine particulate matter (PM2.5) exposure is a known risk factor for numerous adverse health outcomes, with varying estimates of component-specific effects. Populations with compromised health conditions such as diabetes can be more sensitive to the health impacts of air pollution exposure. Recent trends in PM2.5 in primarily American Indian- (AI-) populated areas examined in previous work declined more gradually compared to the declines observed in the rest of the US. To further investigate components contributing to these findings, we compared trends in concentrations of six PM2.5 components in AI- vs. non-AI-populated counties over time (2000-2017) in the contiguous US.MethodsWe implemented component-specific linear mixed models to estimate differences in annual county-level concentrations of sulfate, nitrate, ammonium, organic matter, black carbon, and mineral dust from well-validated surface PM2.5 models in AI- vs. non-AI-populated counties, using a multi-criteria approach to classify counties as AI- or non-AI-populated. Models adjusted for population density and median household income. We included interaction terms with calendar year to estimate whether concentration differences in AI- vs. non-AI-populated counties varied over time.ResultsOur final analysis included 3108 counties, with 199 (6.4%) classified as AI-populated. On average across the study period, adjusted concentrations of all six PM2.5 components in AI-populated counties were significantly lower than in non-AI-populated counties. However, component-specific levels in AI- vs. non-AI-populated counties varied over time: sulfate and ammonium levels were significantly lower in AI- vs. non-AI-populated counties before 2011 but higher after 2011 and nitrate levels were consistently lower in AI-populated counties.ConclusionsThis study indicates time trend differences of specific components by AI-populated county type. Notably, decreases in sulfate and ammonium may contribute to steeper declines in total PM2.5 in non-AI vs. AI-populated counties. These findings provide potential directives for additional monitoring and regulations of key emissions sources impacting tribal lands.

Dataset Information

School Racial Composition as a Moderator of the Effect of Discrimination on Mental Health and Substance use Among American Indian Adolescents.

Purpose

Method

Results

Discussion

Publications

School Racial Composition as a Moderator of the Effect of Discrimination on Mental Health and Substance use Among American Indian Adolescents.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets