Dataset Information

Identifying Risk Factors and Advancing Services for Violently Injured Low-Income Black Youth.

ABSTRACT: Violent exposure among low-income, Black youth has reached alarming rates. Using administrative data that centers racial equity to understand risk factors and aid in prevention is a promising approach to address this complex problem. Medical records were linked to a comprehensive county-level integrated data system using a case-control design. Chi-square tests, T-tests, and multivariate logistic regression assessed for between and within group differences among (1) youth who presented to an emergency department (N = 429) with an assault or gunshot wound (GSW) and a matched sample of non-injured youth (N = 5000); and, (2) youth with GSW injuries (N = 71) compared to assault injuries (N = 358). Injured youth present with greater early adversity, trauma, and prolonged poverty compared to non-injured peers. Youth with GSW injuries differ from assault in several key ways. An ecosystem of care is needed to address the multifaceted causes of Black youth's severe violence exposure that are rooted in systemic racism and poverty. Integrated data using a racial equity lens can help to illuminate opportunities in this ecosystem of care.

SUBMITTER: Voith LA

PROVIDER: S-EPMC9274622 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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Identifying Risk Factors and Advancing Services for Violently Injured Low-Income Black Youth.

Voith Laura A LA Atwell Meghan Salas MS Sorensen Alena A Thomas Tito J TJ Coulton Claudia C Barksdale Edward M EM

Journal of racial and ethnic health disparities 20220711 4

Violent exposure among low-income, Black youth has reached alarming rates. Using administrative data that centers racial equity to understand risk factors and aid in prevention is a promising approach to address this complex problem. Medical records were linked to a comprehensive county-level integrated data system using a case-control design. Chi-square tests, T-tests, and multivariate logistic regression assessed for between and within group differences among (1) youth who presented to an emer ...[more]

PMID: 35819721

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Project description:BackgroundThe heavy and ever rising burden of non-communicable diseases (NCDs) in low- and middle-income countries (LMICs) warrants interventions to reduce their underlying risk factors, which are often linked to lifestyles. To effectively supplement nationwide policies with targeted interventions, it is important to know how these risk factors are distributed across socioeconomic segments of populations in LMICs. This study quantifies the prevalence and socioeconomic inequalities in lifestyle risk factors in LMICs, to identify policy priorities conducive to the Sustainable Development Goal of a one third reduction in deaths from NCDs by 2030.MethodsData from 1,278,624 adult respondents to Demographic & Health Surveys across 22 LMICs between 2013 and 2018 are used to estimate crude prevalence rates and socioeconomic inequalities in tobacco use, overweight, harmful alcohol use and the clustering of these three in a household. Inequalities are measured by a concentration index and correlated with the percentage of GDP spent on health. We estimate a multilevel model to examine associations of individual characteristics with the different lifestyle risk factors.ResultsThe prevalence of tobacco use among men ranges from 59.6% (Armenia) to 6.6% (Nigeria). The highest level of overweight among women is 83.7% (Egypt) while this is less than 12% in Burundi, Chad and Timor-Leste. 82.5% of women in Burundi report that their partner is "often or sometimes drunk" compared to 1.3% in Gambia. Tobacco use is concentrated among the poor, except for the low share of men smoking in Nigeria. Overweight, however, is concentrated among the better off, especially in Tanzania and Zimbabwe (Erreygers Index (EI) 0.227 and 0.232). Harmful alcohol use is more concentrated among the better off in Nigeria (EI 0.127), while Chad, Rwanda and Togo show an unequal pro-poor distribution (EI respectively - 0.147, - 0.210, - 0.266). Cambodia exhibits the largest socioeconomic inequality in unhealthy household behaviour (EI - 0.253). The multilevel analyses confirm that in LMICs, tobacco and alcohol use are largely concentrated among the poor, while overweight is concentrated among the better-off. The associations between the share of GDP spent on health and the socioeconomical distribution of lifestyle factors are multidirectional.ConclusionsThis study emphasizes the importance of lifestyle risk factors in LMICs and the socioeconomic variation therein. Given the different socioeconomic patterns in lifestyle risk factors - overweight patters in LMICs differ considerably from those in high income countries- tailored interventions towards specific high-risk populations are warranted to supplement nationwide policies.

Project description:UnlabelledWhat is already known about this subject African Americans are disproportionately affected by obesity and other metabolic risk factors in comparison to White Americans. Increasing prevalence of obesity has been associated with concomitant increases in childhood hypertension, dyslipidaemia and type 2 diabetes. Oxidative stress is associated with obesity in both adults and children. What this study adds Oxidative stress is positively associated with total body fat and truncal fat, but not with body mass index (BMI) or BMI z-score in healthy youth. Oxidative stress is associated with diastolic blood pressure in African American but not in White American healthy youth.BackgroundOxidative stress is elevated in obese youth, but less is known regarding racial disparities in the relationship of oxidative stress with metabolic risk factors.ObjectivesTo determine the relationship between oxidative stress and metabolic risk factors, adiposity, leptin, adiponectin and cardiovascular fitness (VO2PEAK ) in healthy African American and White American youth.MethodsA marker of oxidative stress (F2 -isoprostane), validated markers of metabolic risk factors, fitness and body composition were measured in African American (n = 82) and White American (n = 76) youth (8-17 years old) recruited over a range of BMI percentiles (4th to 99th).ResultsF2 -isoprostane concentration was positively correlated with percentage body fat (r = 0.198) and percentage truncal fat (r = 0.173), but was not different between African American and White American males and females (P = 0.208). African American youth had significantly higher mean systolic and diastolic blood pressure (P = 0.023 and P = 0.011, respectively), body weight, BMI percentile and Tanner stage. After adjusting for gender, age, BMI and Tanner stage, African American youth varied from White Americans in the association of F2 -isoprostane with diastolic blood pressure (P = 0.047), but not with systolic blood pressure, triglycerides, VO2PEAK or homeostatic model assessment for insulin resistance (all P > 0.05).ConclusionsOxidative stress, as measured by urinary F2 -isoprostane concentrations, was positively associated with percent body fat and truncal fat in youth. Oxidative stress levels were similar among African American and White American youth. Among markers of the metabolic syndrome, a significant difference between African American and White American youth was demonstrated only in the association of oxidative stress with diastolic blood pressure.

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Identifying Risk Factors and Advancing Services for Violently Injured Low-Income Black Youth.

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Identifying Risk Factors and Advancing Services for Violently Injured Low-Income Black Youth.

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