Prevalence of Mental Disorders from Adolescence through Early Adulthood in American Indian and First Nations Communities.
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ABSTRACT:
SUBMITTER: Walls M
PROVIDER: S-EPMC8734560 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Publications
Prevalence of Mental Disorders from Adolescence through Early Adulthood in American Indian and First Nations Communities.
Walls Melissa M Sittner Kelley J KJ Whitbeck Les B LB Herman Kaley K Gonzalez Miigis M Elm Jessica H L JHL Hautala Dane D Dertinger Melinda M Hoyt Dan R DR
International journal of mental health and addiction 20200608 6
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Project description:ObjectiveAmerican Indian peoples (AIs) have high smoking rates and cardiovascular risk factor burden. The present study aimed to (a) investigate latent smoking classes across adolescence and adulthood, (b) investigate adolescent predictors of smoking classes, and (c) assess how smoking class is related to adult cardiovascular risk in a sample of AIs.MethodA sample of AIs (N = 338) from the National Adolescent to Adult Health Study self-reported on smoking across four assessment waves (W1: 7th-12th grade; W2: 8th-12th grade; W3: ages 18-26; W4: ages 24-32). The socioecological framework for addressing tobacco-related disparities was used to identify potential adolescent (W1) risk and resource factors. C-reactive protein, blood pressure, and lipids were collected at W4. Growth mixture modeling and regressions were used.ResultsSix smoking classes were identified: light smoking (36%), nonsmoking (23%), escalating, adult daily smoking (13%), chronic heavy smoking (12%), escalating, young adult daily smoking (9%), and reducing smoking (7%). Risk factors for being in the chronic heavy smoking class included peer smoking and older age at W1. Compared with the chronic heavy smoking class, AIs in the reducing smoking class lived in in more impoverished neighborhoods during adolescence. Relative to several classes with less smoking, being in the chronic heavy smoking class was associated with higher C-reactive protein and less favorable lipid levels. W1 social support was a resource factor for adult diastolic blood pressure and some lipids.ConclusionsSocioecologically informed tobacco interventions have the potential to reduce smoking and cardiovascular risk among AIs, and bolstering social support may be important. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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.
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Project description:ImportanceCharacterizing patterns of handgun carrying among adolescents and young adults can inform programs to reduce firearm-related harm. Longitudinal patterns of handgun carrying among rural adolescents have not been identified.ObjectivesTo assess specific points of intervention by characterizing patterns of handgun carrying by youths in rural communities from early adolescence to young adulthood and to quantify how age at initiation, duration, and frequency of carrying differ across identified patterns.Design, setting, and participantsThis cohort study uses the control group of the community-randomized trial of the Communities That Care prevention system, conducted among public school students in 12 rural communities across 7 states. Participants self-reported their handgun carrying at 10 data collection points from 12 to 26 years of age (2005-2019). Data were analyzed from January to July 2021.Main outcomes and measuresHandgun carrying in the past 12 months. Latent class growth analysis was used to estimate handgun carrying trajectories.ResultsIn this longitudinal rural sample of 2002 students, 1040 (51.9%) were male; 532 (26.6%) were Hispanic, Latino, Latina, or Latinx; 1310 (65.4%) were White; and the highest level of educational attainment of either parent was a high school degree or less for 649 students (32.4%). The prevalence of handgun carrying in the last 12 months ranged from 5.3% (95 of 1795) to 7.4% (146 of 1969) in adolescence and increased during the mid-20s (range, 8.9% [154 of 1722] to 10.9% [185 of 1704] from 23 to 26 years of age). Among the participants who reported handgun carrying at least once between 12 and 26 years of age (n = 601 [30.0%]), 320 (53.2%) reported carrying a handgun in only 1 wave. Latent class growth analysis indicated 6 longitudinal trajectories: never or low probability of carrying (1590 [79.4%]), emerging adulthood carrying (166 [8.3%]), steadily increasing carrying (163 [8.1%]), adolescent carrying (53 [2.6%]), declining carrying (24 [1.2%]), and high probability and persistent carrying (6 [0.3%]). The earliest mean (SD) age at initiation of handgun carrying occurred in both the adolescent and declining carrying groups at the ages of 12.6 (0.9) and 12.5 (0.7) years, respectively. More than 20% of some groups (emerging adulthood [age 26 years: 49 of 154 (31.8%)], steadily increasing [age 26 years: 37 of 131 (28.2%)], declining [age 13 years: 7 of 23 (30.4%)], and high probability and persistent carrying [age 15 years: 3 of 6 (50.0%)]) reported carrying 40 times or more in the past year by the age of 26 years.Conclusions and relevanceThis study found distinct patterns of handgun carrying from adolescence to young adulthood in rural settings. Findings suggest that promoting handgun safety in rural areas should start early. Potential high-risk trajectories, including carrying at high frequencies, should be the focus of future work to explore the antecedents and consequences of handgun carrying in rural areas.
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