An official website of the United States government
Abstract BackgroundWe used an opportunity gap framework to analyze the pathways through which students enter into and depart from science, technology, engineering, and mathematics (STEM) degrees in an R1 higher education institution and to better understand the demographic disparities in STEM degree attainment. ResultsWe found disparities in 6-year STEM graduation rates on the basis of gender, race/ethnicity, and parental education level. Using mediation analysis, we showed that the gender disparity in STEM degree attainment was explained by disparities in aspiration: a gender disparity in students’ intent to pursue STEM at the beginning of college; women were less likely to graduate with STEM degrees because they were less likely to intend to pursue STEM degrees. However, disparities in STEM degree attainment across race/ethnicities and parental education level were largely explained by disparities in attrition: persons excluded because of their ethnicity or race (PEERs) and first generation students were less likely to graduate with STEM degrees due to fewer academic opportunities provided prior to college (estimated using college entrance exams scores) and more academic challenges during college as captured by first year GPAs. ConclusionsOur results reinforce the idea that patterns of departure from STEM pathways differ among marginalized groups. To promote and retain students in STEM, it is critical that we understand these differing patterns and consider structural efforts to support students at different stages in their education.
more »
« less
Sleep disparities in the first month of college: implications for academic achievement
Abstract Study ObjectiveWe investigated sleep disparities and academic achievement in college. MethodsParticipants were 6,002 first-year college students attending a midsize private university in the southern United States [62.0% female, 18.8% first-generation, 37.4% Black, Indigenous, or People of Color (BIPOC) students]. During the first 3–5 weeks of college, students reported their typical weekday sleep duration, which we classified as short sleep (<7 hours), normal sleep (7–9 hours), or long sleep (>9 hours). ResultsThe odds for short sleep were significantly greater in BIPOC students (95% CI: 1.34–1.66) and female students (95% CI: 1.09–1.35), and the odds for long sleep were greater in BIPOC students (95% CI: 1.38–3.08) and first-generation students (95% CI: 1.04–2.53). In adjusted models, financial burden, employment, stress, STEM academic major, student athlete status, and younger age explained unique variance in sleep duration, fully mediating disparities for females and first-generation students (but only partially mediating disparities for BIPOC students). Short and long sleep predicted worse GPA across students’ first year in college, even after controlling for high school academic index, demographics, and psychosocial variables. ConclusionsHigher education should address sleep health early in college to help remove barriers to success and reduce disparities.
more »
« less
- PAR ID:
- 10381880
- Publisher / Repository:
- Oxford University Press
- Date Published:
- Journal Name:
- SLEEP Advances
- Volume:
- 3
- Issue:
- 1
- ISSN:
- 2632-5012
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Academic achievement in the first year of college is critical for setting students on a pathway toward long-term academic and life success, yet little is known about the factors that shape early college academic achievement. Given the important role sleep plays in learning and memory, here we extend this work to evaluate whether nightly sleep duration predicts change in end-of-semester grade point average (GPA). First-year college students from three independent universities provided sleep actigraphy for a month early in their winter/spring academic term across five studies. Findings showed that greater early-term total nightly sleep duration predicted higher end-of-term GPA, an effect that persisted even after controlling for previous-term GPA and daytime sleep. Specifically, every additional hour of average nightly sleep duration early in the semester was associated with an 0.07 increase in end-of-term GPA. Sensitivity analyses using sleep thresholds also indicated that sleeping less than 6 h each night was a period where sleep shifted from helpful to harmful for end-of-term GPA, relative to previous-term GPA. Notably, predictive relationships with GPA were specific to total nightly sleep duration, and not other markers of sleep, such as the midpoint of a student’s nightly sleep window or bedtime timing variability. These findings across five studies establish nightly sleep duration as an important factor in academic success and highlight the potential value of testing early academic term total sleep time interventions during the formative first year of college.more » « less
-
ImportanceScreening with low-dose computed tomography (CT) has been shown to reduce mortality from lung cancer in randomized clinical trials in which the rate of adherence to follow-up recommendations was over 90%; however, adherence to Lung Computed Tomography Screening Reporting & Data System (Lung-RADS) recommendations has been low in practice. Identifying patients who are at risk of being nonadherent to screening recommendations may enable personalized outreach to improve overall screening adherence. ObjectiveTo identify factors associated with patient nonadherence to Lung-RADS recommendations across multiple screening time points. Design, Setting, and ParticipantsThis cohort study was conducted at a single US academic medical center across 10 geographically distributed sites where lung cancer screening is offered. The study enrolled individuals who underwent low-dose CT screening for lung cancer between July 31, 2013, and November 30, 2021. ExposuresLow-dose CT screening for lung cancer. Main Outcomes and MeasuresThe main outcome was nonadherence to follow-up recommendations for lung cancer screening, defined as failing to complete a recommended or more invasive follow-up examination (ie, diagnostic dose CT, positron emission tomography–CT, or tissue sampling vs low-dose CT) within 15 months (Lung-RADS score, 1 or 2), 9 months (Lung-RADS score, 3), 5 months (Lung-RADS score, 4A), or 3 months (Lung-RADS score, 4B/X). Multivariable logistic regression was used to identify factors associated with patient nonadherence to baseline Lung-RADS recommendations. A generalized estimating equations model was used to assess whether the pattern of longitudinal Lung-RADS scores was associated with patient nonadherence over time. ResultsAmong 1979 included patients, 1111 (56.1%) were aged 65 years or older at baseline screening (mean [SD] age, 65.3 [6.6] years), and 1176 (59.4%) were male. The odds of being nonadherent were lower among patients with a baseline Lung-RADS score of 1 or 2 vs 3 (adjusted odds ratio [AOR], 0.35; 95% CI, 0.25-0.50), 4A (AOR, 0.21; 95% CI, 0.13-0.33), or 4B/X, (AOR, 0.10; 95% CI, 0.05-0.19); with a postgraduate vs college degree (AOR, 0.70; 95% CI, 0.53-0.92); with a family history of lung cancer vs no family history (AOR, 0.74; 95% CI, 0.59-0.93); with a high age-adjusted Charlson Comorbidity Index score (≥4) vs a low score (0 or 1) (AOR, 0.67; 95% CI, 0.46-0.98); in the high vs low income category (AOR, 0.79; 95% CI, 0.65-0.98); and referred by physicians from pulmonary or thoracic-related departments vs another department (AOR, 0.56; 95% CI, 0.44-0.73). Among 830 eligible patients who had completed at least 2 screening examinations, the adjusted odds of being nonadherent to Lung-RADS recommendations at the following screening were increased in patients with consecutive Lung-RADS scores of 1 to 2 (AOR, 1.38; 95% CI, 1.12-1.69). Conclusions and RelevanceIn this retrospective cohort study, patients with consecutive negative lung cancer screening results were more likely to be nonadherent with follow-up recommendations. These individuals are potential candidates for tailored outreach to improve adherence to recommended annual lung cancer screening.more » « less
-
ImportancePersistence of COVID-19 symptoms beyond 2 months, or long COVID, is increasingly recognized as a common sequela of acute infection. ObjectivesTo estimate the prevalence of and sociodemographic factors associated with long COVID and to identify whether the predominant variant at the time of infection and prior vaccination status are associated with differential risk. Design, Setting, and ParticipantsThis cross-sectional study comprised 8 waves of a nonprobability internet survey conducted between February 5, 2021, and July 6, 2022, among individuals aged 18 years or older, inclusive of all 50 states and the District of Columbia. Main Outcomes and MeasuresLong COVID, defined as reporting continued COVID-19 symptoms beyond 2 months after the initial month of symptoms, among individuals with self-reported positive results of a polymerase chain reaction test or antigen test. ResultsThe 16 091 survey respondents reporting test-confirmed COVID-19 illness at least 2 months prior had a mean age of 40.5 (15.2) years; 10 075 (62.6%) were women, and 6016 (37.4%) were men; 817 (5.1%) were Asian, 1826 (11.3%) were Black, 1546 (9.6%) were Hispanic, and 11 425 (71.0%) were White. From this cohort, 2359 individuals (14.7%) reported continued COVID-19 symptoms more than 2 months after acute illness. Reweighted to reflect national sociodemographic distributions, these individuals represented 13.9% of those who had tested positive for COVID-19, or 1.7% of US adults. In logistic regression models, older age per decade above 40 years (adjusted odds ratio [OR], 1.15; 95% CI, 1.12-1.19) and female gender (adjusted OR, 1.91; 95% CI, 1.73-2.13) were associated with greater risk of persistence of long COVID; individuals with a graduate education vs high school or less (adjusted OR, 0.67; 95% CI, 0.56-0.79) and urban vs rural residence (adjusted OR, 0.74; 95% CI, 0.64-0.86) were less likely to report persistence of long COVID. Compared with ancestral COVID-19, infection during periods when the Epsilon variant (OR, 0.81; 95% CI, 0.69-0.95) or the Omicron variant (OR, 0.77; 95% CI, 0.64-0.92) predominated in the US was associated with diminished likelihood of long COVID. Completion of the primary vaccine series prior to acute illness was associated with diminished risk for long COVID (OR, 0.72; 95% CI, 0.60-0.86). Conclusions and RelevanceThis study suggests that long COVID is prevalent and associated with female gender and older age, while risk may be diminished by completion of primary vaccination series prior to infection.more » « less
-
Abstract Objective: To examine the effect of food insecurity during college on graduation and degree attainment. Design: Secondary analysis of longitudinal panel data. We measured food insecurity concurrent with college enrollment using the 18-question USDA Household Food Security Survey Module. Educational attainment was measured in 2015-2017 via two questions about college completion and highest degree attained. Logistic and multinomial-logit models adjusted for sociodemographic characteristics were estimated. Setting: United States (US) Participants: A nationally representative, balanced panel of 1,574 college students in the US in 1999-2003 with follow-up through 2015-2017 from the Panel Study of Income Dynamics. Results: In 1999-2003, 14.5% of college students were food insecure and were more likely to be older, non-White, and first-generation students. In adjusted models, food insecurity was associated with lower odds of college graduation (OR 0.57, 95% CI: 0.37, 0.88, p=0.01) and lower likelihood of obtaining a Bachelor’s degree (RRR 0.57 95% CI: 0.35, 0.92, p=0.02) or graduate/professional degree (RRR 0.39, 95% CI: 0.17, 0.86, p=0.022). These associations were more pronounced among first-generation students. 47.2% of first-generation students who experienced food insecurity graduated from college; food insecure first-generation students were less likely to graduate compared to first-generation students who were food secure (47.2% vs. 59.3%, p=0.020) and non-first-generation students who were food insecure (47.2% vs. 65.2%, p=0.037). Conclusions: Food insecurity during college is a barrier to graduation and higher degree attainment, particularly for first-generation students. Existing policies and programs that help mitigate food insecurity should be expanded and more accessible to the college student population.more » « less
