Racial Disparities in Health Among College-Educated African Americans: Can Attendance at Historically Black Colleges or Universities Reduce the Risk of Metabolic Syndrome in Midlife?
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SUBMITTER: Colen CG
PROVIDER: S-EPMC8024041 | biostudies-literature |
REPOSITORIES: biostudies-literature
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| S-EPMC10960504 | biostudies-literature
Project description:In the context of the global implementation of the emission peak and carbon-neutral strategic goal, guiding residents' low-carbon behavior is of great significance for the realization of the dual carbon goal. However, existing studies have paid less attention to the low-carbon behavior of college students. Based on the theory of planned behavior, this paper constructs a theoretical model of influencing factors of college students' low-carbon behavior. Combined with 612 questionnaires from Chinese colleges and universities, this study uses a structural equation model and multi-group analysis method to explore the motivation of college students' low-carbon behavior and guiding education strategies. The results show that low-carbon attitude, subjective norms, low-carbon values, and perceived behavior control have significant positive effects on low low-carbon behavior intention of college students, and influence their low-carbon behavior through low-carbon behavior intention. Further research found that gender and growth environment (urban vs. rural) presented heterogeneity in different influence paths, and the perceived cost had a significant negative moderating effect during the transition from low-carbon intention to low-carbon behavior. These research findings provide a theoretical basis and policy inspiration for explaining and guiding the low-carbon behavior of college students.
| S-EPMC11232552 | biostudies-literature
Project description:This research examined the magnitude of personality differences across different colleges and universities to understand (a) how much students at different colleges vary from one another and (b) whether there are site-level variables that can explain observed differences. Nearly 8,600 students at 30 colleges and universities completed a Big Five personality trait measure. Site-level information was obtained from the Integrated Postsecondary Education System database (U.S. Department of Education). Multilevel models revealed that each of the Big Five traits showed significant between-site variability, even after accounting for individual-level demographic differences. Some site-level variables (e.g., enrollment size, requiring letters of recommendation) explained between-site differences in traits, but many tests were not statistically significant. Student samples at different universities differed in terms of average levels of Big Five personality domains. This raises the possibility that personality differences may explain differences in research results obtained when studying students at different colleges and universities. Furthermore, results suggest that research that compares findings for only a few sites (e.g., much cross-cultural research) runs the risk of overgeneralizing differences between specific samples to broader group differences. These results underscore the value of multisite collaborative research efforts to enhance psychological research.
| S-EPMC7941735 | biostudies-literature
Project description:ImportanceDespite much higher health care expenditure than comparable countries, striking racial and ethnic disparities exist in obstetric outcomes in the United States. A multifaceted exploration of the factors influencing these disparities, including the legacy of structural racism, is important to improve health outcomes for all.ObjectiveTo characterize the association of the historic racially discriminatory home loan practice of redlining with disparities in modern obstetric outcomes.Design, setting, and participantsIn this retrospective cohort study of a 9-county birth certificate database in the Finger Lakes region of New York state from 2005 to 2018, modern obstetric outcomes were matched with regions classified by the federal government for mortgage loan servicing based on racially discriminatory criteria from the 1940 Home Owners' Loan Corporation map (HOLC; also known as the redline map). Patients with a live birth recorded in the data system with a recorded home zip code within the historic HOLC categories were included. Data were analyzed from July to December 2019.ExposureRegions previously categorized by historic, racially discriminatory criteria.Main outcomes and measuresEach HOLC area was analyzed for the primary outcome of preterm birth and secondary outcomes of obstetric and medical complications, with logistic regression to address regional and patient-level covariates.ResultsFrom 2005 until 2018, there were 64 804 live births within the 15 zip codes overlaying historic HOLC regions. Prevalence of preterm birth increased with decreasing HOLC categories, from the lowest overall preterm birth rate of 217 of 2873 births (7.55%) in the zip code historically defined as "Best" or "Still Desirable" and the highest overall preterm birth rate of 427 of 3449 births (12.38%) in the zip code historically defined as "Hazardous." These associations with preterm birth remained significant in logistic regression controlling for poverty levels and educational attainment (adjusted odds ratio, 1.46; 95% CI, 1.08-1.97) and parental race (adjusted odds ratio, 1.38; 95% CI, 1.25-1.53).Conclusions and relevanceIn this cohort study, the linkage of historic and modern community data sets with an obstetric data set offered the opportunity to characterize modern obstetric disparities associated with a system of historic inequity. The persistence of these findings after correcting for contemporary community socioeconomic characteristics suggest potential influences of a system of profound structural inequity that ripple forward in time, with impacts that extend beyond measurable socioeconomic inequity.
| S-EPMC8485176 | biostudies-literature
Project description:Predicting the admission scores of colleges and universities is significant for high school graduates in the College Entrance Examination in China (which is also called "Gaokao" for short). The practice of parallel application for the students after Gaokao not only puts forward a question about how students could make the best of their scores and make the best choice, but also results in the strong competition among different colleges and universities, with the institutions all striving to admit high-performing students in this examination. However, existing prevailing prediction algorithms and models of the admission score of the colleges and universities based on machine learning methods do not take such competitive relationship into consideration, but simply make predictions for individual college or university, causing low predication accuracy and poor generalization capability. This paper intends to analyze such competitive relationship by extracting the important features (e.g., project, location and score discrepancy) of colleges and universities. A novel competition model incorporating the coarse clustering is thus proposed to make the predictions for colleges and universities in a same cluster. By using Gaokao data of Shanxi province in China from 2016 to 2019, we testify the proposed model in comparison with several benchmark methods. The experimental results show that the precision within the error of 3 points and 5 points are 7.3% and 2.8% higher respectively than the second-best algorithm. It has proven that the competition model has the capability to fit the competitive relationship, thus improving the predication accuracy to a large extent. Theoretically, the method proposed could provide a more advanced and comprehensive view about the analysis of factors that may influence the admission score of higher institutions. Practically, the model proposed with high accuracy could help the students make the best of their scores and apply for the college and universities more scientifically.
| S-EPMC9616212 | biostudies-literature
Project description:While associations between stress and hypertension have been documented, little research has examined the association between coping and hypertension, especially in the context of understanding racial disparities. Utilizing data from the CHDS-DISPAR study, we examine the association between avoidant coping and hypertension among adults age 50 while assessing for potential differences across (1) coping in response to the general stress and discrimination and (2) African American and White racial groups. Coping was measured using a 9-item scale with an avoidant coping subscale (e.g., drinking alcohol). Mean avoidance coping scores were calculated for both general stress and discrimination. No racial differences in avoidant coping were found. Within our sample (n = 414), there was a high burden of hypertension among African American respondents compared to White respondents (50.3% vs. 22.6%). Models assessed associations between avoidant coping and hypertension adjusted for sociodemographic factors, obesity, and either experience of stress or discrimination depending on the coping domain examined. Avoidant coping in response to the general stress and discrimination was associated with increased hypertension among White respondents (PR: 1.63 [95%CI 1.01, 2.24]; PR: 1.69 [95%CI 1.12, 2.26], respectively) and no associations among African American respondents (PR: 0.83 [95%CI 0.57, 1.09]; PR: 0.82 [95%CI 0.52, 1.12], respectively). This research suggests that racial disparities in hypertension may not be attributable to individual-level coping behaviors.
| S-EPMC9346605 | biostudies-literature
Project description:IntroductionBlack students attending predominantly White institutions (PWIs) versus historically Black colleges and universities (HBCUs) report more harmful discrimination and develop worse mental health outcomes, potentially offsetting the established benefits of college for lowering dementia incidence.MethodsBlack participants in two cohorts (the Kaiser Healthy Aging and Diverse Life Experiences [KHANDLE] and the Study of Healthy Aging in African Americans [STAR]) who had attended college (N = 716) self-reported the college name (classified as HBCU vs. PWI) and completed three waves of executive function (EF) and verbal episodic memory (VEM) assessments. HBCU effects on cognitive level and decline were estimated using adjusted linear mixed-effects models.ResultsHBCU (vs. PWI) attendees averaged better EF (β = 0.05 [-0.22, 0.32]) and VEM (β = 0.21 [-0.06, 0.46]) at age 70 though neither association was statistically significant. HBCU attendance was associated with slightly faster VEM decline (β = -0.03 [-0.05, 0.00]).DiscussionHarmonized analyses with larger studies are needed to estimate important effects of HBCU attendance.HighlightsHigher education is robustly linked to lower dementia risk, yet Black-White inequities persist among college-educated adults. Black students attending predominantly White institutions (PWIs) versus historically Black colleges and universities (HBCUs) report more harmful discrimination and develop worse mental health outcomes, which may offset the established benefits of college for lowering dementia incidence. HBCU (vs. non-HBCU) attendees averaged better executive function and verbal episodic memory (VEM) at average age 70, though confidence intervals were wide and associations were not statistically significant, and averaged slightly faster decline in VEM. Harmonized analyses using larger nationally representative studies are likely needed to avoid underestimating the health effects of HBCU attendance.
| S-EPMC10432571 | biostudies-literature
Project description:BackgroundRacial disparities have been reported in liver transplantation and chronic hepatitis C treatment outcomes. Determining causes of these disparities is important given the racially diverse American population and the economic burden associated with chronic liver disease.MethodsA retrospective study was performed among 463 patients diagnosed with cirrhosis admitted from (January 1, 2013 to January 1, 2018) to a tertiary care academic medical center. Patients were identified based on the International Classification of Diseases (ICD-10) for cirrhosis or its complications. Demographic information, laboratory data, medical comorbidities, insurance and adherence to cirrhosis quality care indicators were recorded to determine their relationship to readmission rates and other healthcare outcomes.ResultsA total of 463 individual patients with cirrhosis were identified including Whites (n = 241), Hispanics (n = 106), Blacks (n = 50), Asian and Pacific Islander Americans (API, n = 27) and Other (n = 39). A significantly higher proportion of Blacks had Medicaid insurance compared to Whites (40% versus 20%, p = 0.0002) and Blacks had lower median income than Whites ($45,710 versus $54,844, p = 0.01). All groups received high quality cirrhosis care. Regarding healthcare outcomes, Black patients had the highest mean total hospital admissions (6.1 ± 6.3, p = 0.01) and the highest mean number of 30-day re-admissions (2.1 ± 3.7, p = 0.05) compared to all other racial groups. Multivariable proportional odds regression analysis showed that race was a statistically significant predictor of 90-day readmission (p = 0.03).ConclusionsBlack Americans hospitalized for complications of cirrhosis may experience significant disparities in healthcare outcomes compared to Whites despite high quality cirrhosis care. Socioeconomic factors may contribute to these disparities.
| S-EPMC7391571 | biostudies-literature
Project description:OBJECTIVE:We examined race/gender effects on initial levels and trajectories of self-reported physical and mental health, as well as the moderating role of personality. We hypothesized that health disparities would remain stable or decrease over time, and that at-risk personality traits (e.g., neuroticism) would have a more robust negative impact on health for Black participants. METHOD:Analyses utilized 6 waves of data from a community sample of 1,577 Black and White adults (mean age 60 years), assessed every 6 months for 2.5 years. Using multigroup latent growth curve modeling, we examined initial levels and changes in health among White men, White women, Black men, and Black women. RESULTS:Black participants reported lower initial physical health than Whites. Women's physical health was stable over time, whereas men's declined. There were no disparities in mental health. Higher agreeableness was associated with higher initial levels of physical health only among Black men and White women. All other personality traits were associated with physical and mental health similarly across race and gender. CONCLUSIONS:Race and gender influence health trajectories. Most personality- health associations replicated across race and gender, except for agreeableness with physical health. An intersectional framework considering more than one aspect of social identity is crucial for understanding health disparities. Future studies may benefit from including large, diverse samples of participants and further examining the moderating effects of race and gender on personality associations with a variety of health outcomes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
| S-EPMC6557706 | biostudies-literature
Project description:IntroductionNon-Hispanic Black infants experience disproportionately high risks of low birth weight compared with non-Hispanic White infants, particularly among mothers with high educational attainment and greater socioeconomic advantage. This study investigates how maternal early-life disadvantage contributes to ongoing racial birth weight inequities among U.S. college‒educated mothers, specifically declining birth weights with age among non-Hispanic Black mothers.MethodsStudy analyses used cohort data from the National Longitudinal Study of Adolescent to Adult Health. Racial inequities in birth weight by maternal age and early-life disadvantage were assessed using completed reproductive histories among college-educated mothers at ages 33-44 years collected in 2016‒2018 and regression-based marginal standardization techniques. Early-life disadvantage was measured using a study-based composite measure of early-life concentrated poverty and social disadvantage in homes, neighborhoods, and schools, collected in previous waves. Primary analyses were completed in 2020‒2021.ResultsAmong non-Hispanic Black mothers who experienced high early-life disadvantage, a 1-year increase in maternal age at delivery was associated with lower birth weight by 26.07 g (95% CI= -48.74, -3.40). Similar declines were not found among non-Hispanic Black mothers with low early-life disadvantage. Non-Hispanic White mothers experienced increased birth weight with maternal age, 6.85 g (95% CI= -1.12, 14.82) per year, which did not significantly vary by early-life disadvantage.ConclusionsEarly-life disadvantage modifies whether and how college-educated mothers experience birth weight decline with older age. The effects of early-life contexts and embedded racial inequities on maternal health inequities and differential weathering warrant further public health attention.
| S-EPMC9035061 | biostudies-literature