Socioeconomic Diversity of the Matriculating US Medical Student Body by Race, Ethnicity, and Sex, 2017-2019.
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SUBMITTER: Shahriar AA
PROVIDER: S-EPMC8924719 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature
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Socioeconomic Diversity of the Matriculating US Medical Student Body by Race, Ethnicity, and Sex, 2017-2019.
Shahriar Arman A AA Puram Vikram V VV Miller Jonathan M JM Sagi Varun V Castañón-Gonzalez Lorenzo Adolfo LA Prasad Shailendra S Crichlow Renée R
JAMA network open 20220301 3
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| S-EPMC8293019 | biostudies-literature
Project description:ImportancePrevious studies have shown that medical student mistreatment is common. However, few data exist to date describing how the prevalence of medical student mistreatment varies by student sex, race/ethnicity, and sexual orientation.ObjectiveTo examine the association between mistreatment and medical student sex, race/ethnicity, and sexual orientation.Design, setting, and participantsThis cohort study analyzed data from the 2016 and 2017 Association of American Medical Colleges Graduation Questionnaire. The questionnaire annually surveys graduating students at all 140 accredited allopathic US medical schools. Participants were graduates from allopathic US medical schools in 2016 and 2017. Data were analyzed between April 1 and December 31, 2019.Main outcomes and measuresPrevalence of self-reported medical student mistreatment by sex, race/ethnicity, and sexual orientation.ResultsA total of 27 504 unique student surveys were analyzed, representing 72.1% of graduating US medical students in 2016 and 2017. The sample included the following: 13 351 female respondents (48.5%), 16 521 white (60.1%), 5641 Asian (20.5%), 2433 underrepresented minority (URM) (8.8%), and 2376 multiracial respondents (8.6%); and 25 763 heterosexual (93.7%) and 1463 lesbian, gay, or bisexual (LGB) respondents (5.3%). At least 1 episode of mistreatment was reported by a greater proportion of female students compared with male students (40.9% vs 25.2%, P < .001); Asian, URM, and multiracial students compared with white students (31.9%, 38.0%, 32.9%, and 24.0%, respectively; P < .001); and LGB students compared with heterosexual students (43.5% vs 23.6%, P < .001). A higher percentage of female students compared with male students reported discrimination based on gender (28.2% vs 9.4%, P < .001); a greater proportion of Asian, URM, and multiracial students compared with white students reported discrimination based on race/ethnicity (15.7%, 23.3%, 11.8%, and 3.8%, respectively; P < .001), and LGB students reported a higher prevalence of discrimination based on sexual orientation than heterosexual students (23.1% vs 1.0%, P < .001). Moreover, higher proportions of female (17.8% vs 7.0%), URM, Asian, and multiracial (4.9% white, 10.7% Asian, 16.3% URM, and 11.3% multiracial), and LGB (16.4% vs 3.6%) students reported 2 or more types of mistreatment compared with their male, white, and heterosexual counterparts (P < .001).Conclusions and relevanceFemale, URM, Asian, multiracial, and LGB students seem to bear a disproportionate burden of the mistreatment reported in medical schools. It appears that addressing the disparate mistreatment reported will be an important step to promote diversity, equity, and inclusion in medical education.
| S-EPMC7042809 | biostudies-literature
Project description:Study objectivesGrowing evidence indicates sleep is a major public health issue. Race/ethnicity and socioeconomics may contribute to sleep problems. This study assessed whether sleep symptoms were more prevalent among minorities and/or the socioeconomically disadvantaged.DesignCross-sectional.SettingEpidemiologic survey.Patients or participants2007-2008 National Health and Nutrition Examination Survey (N = 4,081).InterventionsNone.Measurements and resultsSociodemographics included age, sex, race/ethnicity, marital status, and immigration. Socioeconomics included poverty, education, private insurance, and food insecurity. Sleep symptoms assessed were sleep latency > 30 min, difficulty falling asleep, sleep maintenance difficulties, early morning awakenings, non-restorative sleep, daytime sleepiness, snorting/gasping, and snoring. Decreased reported problems for most symptoms were found among minorities, immigrants, and lower education levels. In general, in fully adjusted models, long sleep latency was associated with female gender, being black/African American, lower education attainment, no private insurance, and food insecurity. Difficulty falling asleep, sleep maintenance difficulties, early morning awakenings, and non-restorative sleep were also associated with female gender and food insecurity. Daytime sleepiness was seen in female and divorced respondents. Snorting/gasping was more prevalent among male, other-Hispanic/Latino, and 9(th)- to 11(th)-grade-level respondents. Snoring was prevalent among male, other-Hispanic/Latino, less-educated, and food-insecure respondents.ConclusionsSleep symptoms were associated with multiple sociodemographic and economic factors, though these relationships differed by predictor and sleep outcome. Also, reports depended on question wording.
| S-EPMC3746717 | biostudies-literature
Project description:ObjectivesThis study sought to describe the health status of outpatients with heart failure and reduced ejection fraction (HFrEF) by sex, race/ethnicity, and socioeconomic status (SES).BackgroundAlthough a primary goal in treating patients with HFrEF is to optimize health status, whether disparities by sex, race/ethnicity, and SES exist is unknown.MethodsIn the CHAMP-HF (Change the Management of Patients with Heart Failure) registry, the associations among sex, race, and SES and health status, as measured by the Kansas City Cardiomyopathy Questionnaire-overall summary (KCCQ-os) score (range 0 to 100; higher scores indicate better health status) was compared among 3,494 patients from 140 U.S. clinics. SES was categorized by total household income. Hierarchical multivariate linear regression estimated differences in KCCQ-os score after adjusting for 31 patient characteristics and 10 medications.ResultsOverall mean KCCQ-os scores were 64.2 ± 24.0 but lower for women (29% of sample; 60.3 ± 24.0 vs. 65.9 ± 24.0, respectively; p < 0.001), for blacks (60.5 ± 25.0 vs. 64.9 ± 23.0, respectively; p < 0.001), for Hispanics (59.1 ± 21.0 vs. 64.9 ± 23.0, respectively; p < 0.001), and for those with the lowest income (<$25,000; mean: 57.1 vs. 63.1 to 74.7 for other income categories; p < 0.001). Fully adjusted KCCQ-os scores were 2.2 points lower for women (95% confidence interval [CI]: -3.8 to -0.6; p = 0.007), no different for blacks (p = 0.74), 4.0 points lower for Hispanics (95% CI: -6.6 to -1.3; p = 0.003), and lowest in the poorest patients (4.7 points lower than those with the highest income (95% CI: 0.1 to 9.2; p = 0.045; p for trend = 0.003).ConclusionsAmong outpatients with HFrEF, women, blacks, Hispanics, and poorer patients had worse health status, which remained significant for women, Hispanics, and poorer patients in fully adjusted analyses. This suggests an opportunity to further optimize treatment to reduce these observed disparities.
| S-EPMC6003698 | biostudies-literature
Project description:ImportanceHealth equity is an often-cited goal of public health, included among the 4 overarching goals of the Department of Health and Human Services' Healthy People 2020. Yet it is difficult to find summary assessments of national progress toward this goal.ObjectivesTo identify variation in several measures of health equity from 1993 to 2017 in the United States and to test whether there are significant time trends.Design, setting, and participantsSurvey study using 25 years of data, from January 1, 1993, to December 31, 2017, from the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System to assess trends in health equity and health justice by race/ethnicity, sex, and income in 3 categories by year.Main outcomes and measuresHealth equity was assessed separately for each of 2 health constructs: healthy days-the average of physical and mental healthy days over the previous 30 days-and general health in 5 categories, rescaled to approximate a continuous variable. For each health construct, average health was calculated along with 4 measures of health equity: disparities across 3 income groups; black-white disparities; health justice-a measure of the correlation of health outcomes with income, race/ethnicity and sex; and a summary health equity metric.ResultsAmong the 5 456 006 respondents, the mean (SD) age was 44.5 (12.7) years; 3 178 688 (58.3%) were female; 4 163 945 (76.3%) were non-Latinx white; 474 855 (8.7%) were non-Latinx black; 419 542 (7.7%) were Latinx; and 397 664 (7.3%) were of other race/ethnicity. The final sample included 5 456 006 respondents for self-reported health and 5 349 527 respondents for healthy days. During the 25-year period, the black-white gap showed significant improvement (year coefficient: healthy days, 0.021; 97.5% CI, 0.012 to 0.029; P < .001; self-reported health, 0.030; 97.5% CI, 0.025 to 0.035; P < .001). The health equity metric for self-reported health showed no significant trend. For healthy days, the Health Equity Metric declined over time (year coefficient: healthy days, -0.025; 97.5% CI, -0.033 to -0.017; P < .001). Health justice declined over time (year coefficient: healthy days, -0.045; 97.5% CI, -0.053 to -0.038; P < .001; self-reported health, -0.035; 97.5% CI, -0.046 to-0.023; P < .001), and income disparities worsened (year coefficient: healthy days, -0.060; 97.5% CI, -0.076 to -0.044; P < .001; self-reported health, -0.029; 97.5% CI, -0.046 to -0.012; P < .001).Conclusions and relevanceResults of this analysis suggest that there has been a clear lack of progress on health equity during the past 25 years in the United States. Achieving widely shared goals of improving health equity will require greater effort from public health policy makers, along with their partners in medicine and the sectors that contribute to the social determinants of health.
| S-EPMC6604079 | biostudies-literature
Project description:BACKGROUND:Very few studies with nationally representative samples have investigated the combined effects of race/ethnicity and socioeconomic position (SEP) on polypharmacy (PP) among older Americans. For instance, we do not know if prevalence of PP differs between African Americans (AA) and white older adults, whether this difference is due to a racial gap in SEP, or whether racial and ethnic differences exist in the effects of SEP indicators on PP. Aims: We investigated joint effects of race/ethnicity and SEP on PP in a national household sample of American older adults. Methods: The first wave of the University of Michigan National Poll on Healthy Aging included a total of 906 older adults who were 65 years or older (80 AA and 826 white). Race/ethnicity, SEP (income, education attainment, marital status, and employment), age, gender, and PP (using 5+ medications) were measured. Logistic regression was applied for data analysis. Results: Race/ethnicity, age, marital status, and employment did not correlate with PP; however, female gender, low education attainment, and low income were associated with higher odds of PP among participants. Race/ethnicity interacted with low income on odds of PP, suggesting that low income might be more strongly associated with PP in AA than white older adults. Conclusions: While SEP indicators influence the risk of PP, such effects may not be identical across diverse racial and ethnic groups. That is, race/ethnicity and SEP have combined/interdependent rather than separate/independent effects on PP. Low-income AA older adults particularly need to be evaluated for PP. Given that race and SEP have intertwined effects on PP, racially and ethnically tailored interventions that address PP among low-income AA older adults may be superior to universal interventions and programs that ignore the specific needs of diverse populations. The results are preliminary and require replication in larger sample sizes, with PP measured directly without relying on individuals' self-reports, and with joint data collected on chronic disease.
| S-EPMC6631748 | biostudies-literature
Project description:IntroductionThe hippocampus has a significant role in memory, learning, and cognition. Although hippocampal size is highly susceptible to family socioeconomic status (SES) and associated stress, very little is known on racial and ethnic group differences in the effects of SES indicators on hippocampus volume among American children.PurposeThis study explored the multiplicative effects of race, ethnicity, and family SES on hippocampus volume among American children.MethodsUsing data from the Adolescent Brain Cognitive Development (ABCD), we analyzed the functional Magnetic Resonance Imaging (fMRI) data of 9390 9-10 years old children. The main outcome was hippocampus volume. The predictor was parental education. Subjective family SES was the independent variable. Age, sex, and marital status were the covariates. Racial and ethnic group membership were the moderators. To analyze the data, we used regression models.ResultsHigh subjective family SES was associated with larger hippocampus volume. This effect was significantly larger for Whites than Black families.ConclusionsThe effect of subjective family SES on children's hippocampus volume is weaker in Black than White families.
| S-EPMC7581302 | biostudies-literature
Project description:ObjectiveTo determine the association between neighborhood socioeconomic status (NSES) and cardio-metabolic risk and whether this relationship differs by race/ethnicity.MethodsParticipants in the Multi-Ethnic Study of Atherosclerosis (n = 5750), ages 45-84 years, from 6 US counties, including 5 examinations from 2000 to 2012. We calculated a modified allostatic load (AL) index, indicating cardio-metabolic risk. NSES score included census-derived measures at census tract of residence. Mixed effects growth curve models were used to assess linear and non-linear associations between NSES and AL at baseline and over time.ResultsHigher NSES was associated with lower AL across race/ethnic groups; considering NSES quintiles, significant associations were found only for the highest NSES quintiles (difference of -0.86 and -1.15 for white and Hispanic participants) vs. the lowest. We found no significant association between NSES and change in AL over time.DiscussionOur findings suggest that the relationship between NSES and AL reflects the health benefits of living in the most advantaged neighborhoods.Public health implicationsUnderstanding the impact of higher NSES on health effects may help identify interventions to effectively target high risk neighborhoods.
| S-EPMC7397689 | biostudies-literature
Project description:ImportanceDiverse research teams are critical to solving complex health problems and producing high-quality medical research.ObjectiveTo examine the associations of student sex and racial and ethnic identity with publication rates during medical school.Design, setting, and participantsThis cohort study assessed individual-level data of US MD graduates from medical school who matriculated in academic years 2014 to 2015 and 2015 to 2016. Data were obtained from the Association of American Medical Colleges and analyzed from October 2021 to January 2022.Main outcomes and measuresOutcomes of interest included students' self-reported participation in unique research experiences, number of publications, and computed publications per research experience. Poisson regressions were constructed to determine the association of sex and racial and ethnic identity with research outcomes using adjusted rate ratios (aRRs).ResultsAmong 31 474 graduates, 15 159 (48.2%) identified as women and 4344 (13.8%) identified as underrepresented in medicine by race and ethnicity (URIM; including American Indian, Alaska Native, Black, Hawaiian Native, Hispanic/Latinx, and Pacific Islander individuals). Students who attended National Institutes of Health (NIH) top 40 research-ranked schools reported higher number of research experiences and publication counts, resulting in a higher publication rate compared with students from non-top 40 schools (median [IQR] 1.60 [1.00-3.00] vs 1.25 [0.50-2.33]; P < .001). Women reported a higher number of research experiences than men but a significantly lower number of publications (top 40 schools: aRR, 0.89; 95% CI, 0.87-0.90; non-top 40 schools: aRR, 0.93; 95% CI, 0.92-0.95). This resulted in a significantly lower publication rate among women (top 40 schools: aRR, 0.85; 95% CI, 0.83-0.86; non-top 40 schools: aRR, 0.91; 95% CI, 0.90-0.92). Compared with White students, Asian students had higher publication rates at both NIH top 40 schools (aRR, 1.10; 95% CI, 1.08-1.12) and non-top 40 schools (aRR, 1.07; 95% CI, 1.05-1.08), while lower publication rates were reported among Black students (top 40 schools: aRR, 0.83; 95% CI, 0.80-0.86; non-top 40 schools: aRR, 0.88; 95% CI, 0.85-0.95) and Hispanic students attending non-top 40 schools (aRR, 0.93; 95% CI, 0.90-0.95).Conclusions and relevanceThese findings illustrate that inequities in the physician-scientist workforce began early in training and highlight key areas for intervention, such as funding support and mentorship training during undergraduate medical education, that may promote the future success of a diverse physician-scientist workforce.
| S-EPMC9597391 | biostudies-literature
Project description:BackgroundExamining social networks, characterized by interpersonal interactions across family, peer, school, and neighborhoods, offer alternative explanations to suicidal behaviors and shape effective suicide prevention. This study examines adolescent social networks predicting suicide ideation and attempt trajectories transitioning to adulthood, while revealing differences across racial/ethnic, sex, sexual identity, and socioeconomic status.MethodsParticipants included 9421 high school students (Mage = 15.30 years; 54.58% females, baseline) from Waves I-IV of the National Longitudinal Study of Adolescent to Adult Health, 1994-2008. Latent class growth analyses were conducted to identify suicide ideation and attempt trajectories. Multivariate multinomial logistic regressions examined the relationships between social network characteristics during adolescence and suicidal trajectories. Interaction terms between social networks and sociodemographic characteristics were included to test moderation effects.ResultsThree suicidal ideation trajectories (low-stable, high-decreasing, moderate-decreasing-increasing) and two suicide attempt trajectories (low-stable, moderate-decreasing) were identified. Greater family cohesion significantly reduced the probability of belonging to high-decreasing (Trajectory 2) and moderate-decreasing-increasing (Trajectory 3) suicidal ideation trajectories, and moderate-decreasing (Trajectory 2) suicide attempt trajectory. Race/ethnicity, sex, and sexual identity significantly moderated the associations between social networks (household size, peer network density, family cohesion, peer support, neighborhood support) and suicidal trajectories.ConclusionsSocial networks during adolescence influenced the odds of belonging to distinct suicidal trajectories. Family cohesion protected youth from being in high-risk developmental courses of suicidal behaviors. Social networks, especially quality of interactions, may improve detecting adolescents and young adults at-risk for suicide behaviors. Network-based interventions are key to prevent suicidal behaviors over time and suicide intervention programming.
| S-EPMC9772914 | biostudies-literature