Development of a University-Government Partnership for Public Health Response and Workforce Development in the State of Oregon.

The COVID-19 pandemic exposed and exacerbated a public health workforce shortage and national strategies have called for the development of clear occupational pathways for students to enter the public health workforce and meaningful public health careers. In response to the immediate need for public health workers during the pandemic, several universities and academic hospitals rapidly mobilized students and employees and partnered with local or state health departments. However, many of those partnerships were based on short-term volunteer effort to support critical COVID-19 public health efforts. In this article, we document the development of Oregon's Public Health Practice Team, a student, staff, and faculty workforce developed at the Oregon Health & Science University-Portland State University (OHSU-PSU) School of Public Health in close collaboration with the Oregon Health Authority (OHA). This project contributed significant effort to several phases of Oregon's statewide public health response to COVID-19, and over time developed into a lasting, multi-purpose, inter-agency collaborative public health practice program. Health equity has been centered at every stage of this work. We describe the phases of the partnership development, the current team structure and operations, and highlight key challenges and lessons learned. This provides a case-study of how an innovative and flexible university-government partnership can contribute to immediate pandemic response needs, and also support ongoing public health responses to emerging needs, while contributing to the development of a skilled and diverse public health workforce.

A Comparison of Depression and Anxiety Symptoms Between Sexual Minority and Heterosexual Medical Residents: A Report from the Medical Trainee CHANGE Study.

Purpose: The pervasiveness of sexual minority stressors in the U.S. medical training environment is well documented, yet little is known about the mental health impact of such stressors on sexual minority medical residents. We compared depression and anxiety symptoms between sexual minority and heterosexual third-year medical residents, adjusting for depression and anxiety before residency, and examined the role of perceived residency belonging during the second year of residency as a predictor of subsequent sexual identity-based differences in depression and anxiety. Methods: In 2010-2011, first-year medical students enrolled in the Cognitive Habits and Growth Evaluation Study and completed surveys in the last year of medical school (MS4; 2014), as well as second (R2; 2016) and third (R3; 2017) year of residency. The surveys contained measures of sexual identity, residency belonging, depression, and anxiety. Results: Of the 2890 residents who provided information about their sexual identity, 291 (10.07%) identified as sexual minority individuals. Sexual minority residents reported significantly higher levels of depression (p = 0.009) and anxiety (p = 0.021) than their heterosexual peers at R3, even after adjusting for depression and anxiety at MS4. Sexual minority residents also reported a lower sense of belonging at R2 than did heterosexual residents (p = 0.006), which was in turn associated with higher levels of depression and anxiety at R3 (ps < 0.001). Conclusion: Sexual minority residents experienced higher levels of depression and anxiety than their heterosexual counterparts, and these mental health disparities were associated with lower perceived belonging in residency. Residency programs should prioritize evidence-based, targeted interventions for sexual minority mental health.

Contact and role modeling predict bias against lesbian and gay individuals among early-career physicians: A longitudinal study.

RATIONALE: Physician bias against sexual minorities can hinder the delivery of high-quality health care and thus contribute to the disproportionate prevalence of negative health outcomes within this population. Medical students' interpersonal experiences within the context of medical school may contribute to this bias. OBJECTIVE: The goal of the current research was to examine the relationship between these interpersonal experiences, reported by heterosexual, cisgender medical students, and explicit and implicit bias against lesbians and gay individuals, reported two years later during second year of medical residency. METHOD: Data were collected by surveying students (n = 2940) from a stratified sample of U.S. medical schools in fall 2010 (first semester of medical school), spring 2014 (final semester of medical school), and spring 2016 (second year of medical residency). RESULTS: Amount and favorability of contact with LGBT individuals, reported during the final semester of medical school, predicted lower levels of explicit bias against lesbian and gay individuals during second year of medical residency. Additionally, exposure to negative role modeling, also reported during the final semester of medical school, predicted higher levels of explicit bias against lesbian and gay individuals during second year of medical residency. Amount of contact with LGBT individuals - and in particular, with LGBT medical students - predicted lower levels of implicit bias against lesbian and gay individuals during second year of medical residency. Neither favorability of contact with LGBT individuals nor exposure to negative role modeling predicted implicit bias against lesbian and gay individuals during second year of medical residency. CONCLUSION: These results suggest that interpersonal experiences during medical school can systematically shape heterosexual, cisgender physicians' subsequent explicit and implicit bias against lesbian and gay individuals.

Health of Transgender Adults in the U.S., 2014-2016.

INTRODUCTION: Transgender people experience significant interpersonal and structural discrimination and stigma. However, little is known about the health of transgender people, and even less about the health of specific groups-including male-to-female, female-to-male, and gender-nonconforming transgender populations-despite the variation in social and biological characteristics across groups. METHODS: Data are from the 2014-2016 Behavioral Risk Factor Surveillance System, analyzed in 2017. The study population included 2,221 transgender and 523,080 cisgender respondents from 31 states and one territory. The authors estimated the prevalence and adjusted odds of chronic health conditions, health-related quality of life, disabilities, health behaviors, and health utilization among three transgender groups, when compared separately with cisgender males and cisgender females. RESULTS: An estimated 0.24% (95% CI=0.21, 0.27) identified as male-to-female; 0.14% (95% CI=0.12, 0.17) identified as female-to-male; and 0.10% (95% CI=0.08, 0.12) identified as gender-nonconforming. All transgender groups experience worse mental health and disabilities; few differences in healthcare access and utilization were observed. Gender-nonconforming people had higher odds of multiple chronic conditions, poor quality of life, and disabilities than both cisgender males and females. Female-to-male people had a higher odds of no exercise and cardiovascular disease compared with cisgender females. CONCLUSIONS: Given the high burden of disabilities; poor mental health; and multiple chronic conditions among transgender (particularly gender-nonconforming) populations, supportive services and care coordination may be consequential levers for improving transgender health.

Correction to: Medical School Factors Associated with Changes in Implicit and Explicit Bias Against Gay and Lesbian People among 3492 Graduating Medical Students.

Due to a tagging error, two authors were incorrectly listed in indexing systems. Brook W. Cunningham should be B.A. Cunningham and Mark W. Yeazel should be M.W. Yeazel for indexing purposes.

Beyond Generalized Sexual Prejudice: Need for Closure Predicts Negative Attitudes Toward Bisexual People Relative to Gay/Lesbian People.

Increasing evidence suggests that bisexual people are sometimes evaluated more negatively than heterosexual and gay/lesbian people. A common theoretical account for this discrepancy argues that bisexuality is perceived by some as introducing ambiguity into a binary model of sexuality. The present brief report tests a single key prediction of this theory, that evaluations of bisexual people have a unique relationship with Need for Closure (NFC), a dispositional preference for simple ways of structuring information. Participants (n=3406) were heterosexual medical students from a stratified random sample of 49 U.S. medical schools. As in prior research, bisexual targets were evaluated slightly more negatively than gay/lesbian targets overall. More importantly for the present investigation, higher levels of NFC predicted negative evaluations of bisexual people after accounting for negative evaluations of gay/lesbian people, and higher levels of NFC also predicted an explicit evaluative preference for gay/lesbian people over bisexual people. These results suggest that differences in evaluations of sexual minority groups partially reflect different psychological processes, and that NFC may have a special relevance for bisexual targets even beyond its general association with prejudice. The practical value of testing this theory on new physicians is also discussed.

Medical School Factors Associated with Changes in Implicit and Explicit Bias Against Gay and Lesbian People among 3492 Graduating Medical Students.

BACKGROUND: Implicit and explicit bias among providers can influence the quality of healthcare. Efforts to address sexual orientation bias in new physicians are hampered by a lack of knowledge of school factors that influence bias among students. OBJECTIVE: To determine whether medical school curriculum, role modeling, diversity climate, and contact with sexual minorities predict bias among graduating students against gay and lesbian people. DESIGN: Prospective cohort study. PARTICIPANTS: A sample of 4732 first-year medical students was recruited from a stratified random sample of 49 US medical schools in the fall of 2010 (81% response; 55% of eligible), of which 94.5% (4473) identified as heterosexual. Seventy-eight percent of baseline respondents (3492) completed a follow-up survey in their final semester (spring 2014). MAIN MEASURES: Medical school predictors included formal curriculum, role modeling, diversity climate, and contact with sexual minorities. Outcomes were year 4 implicit and explicit bias against gay men and lesbian women, adjusted for bias at year 1. KEY RESULTS: In multivariate models, lower explicit bias against gay men and lesbian women was associated with more favorable contact with LGBT faculty, residents, students, and patients, and perceived skill and preparedness for providing care to LGBT patients. Greater explicit bias against lesbian women was associated with discrimination reported by sexual minority students (b = 1.43 [0.16, 2.71]; p = 0.03). Lower implicit sexual orientation bias was associated with more frequent contact with LGBT faculty, residents, students, and patients (b = -0.04 [-0.07, -0.01); p = 0.008). Greater implicit bias was associated with more faculty role modeling of discriminatory behavior (b = 0.34 [0.11, 0.57); p = 0.004). CONCLUSIONS: Medical schools may reduce bias against sexual minority patients by reducing negative role modeling, improving the diversity climate, and improving student preparedness to care for this population.

Informal Training Experiences and Explicit Bias Against African Americans among Medical Students.

Despite the widespread inclusion of diversity-related curricula in US medical training, racial disparities in the quality of care and physician bias in medical treatment persist. The present study examined the effects of both formal and informal experiences on non-African American medical students' (N=2922) attitudes toward African Americans in a longitudinal study of 49 randomly selected US medical schools. We assessed the effects experiences related to medical training, accounting for prior experiences and attitudes. Contact with African Americans predicted positive attitudes toward African Americans relative to White people, even beyond the effects of prior attitudes. Furthermore, students who reported witnessing instructors making negative racial comments or jokes were significantly more willing to express racial bias themselves, even after accounting for the effects of contact. Examining the effects of informal experiences on racial attitudes may help develop a more effective medical training environment and reduce racial disparities in healthcare.

Association Between Perceived Medical School Diversity Climate and Change in Depressive Symptoms Among Medical Students: A Report from the Medical Student CHANGE Study.

PURPOSE: To determine whether perceptions of the medical school diversity climate are associated with depression symptoms among medical students. METHODS: Longitudinal web-based survey conducted in the fall of 2010 and spring of 2014 administered to a national sample of medical students enrolled in 49 schools across the U.S. (n = 3756). Negative diversity climate measured by perceptions of the institution's racial climate; exposure to negative role modeling by medical educators; frequency of witnessing discrimination in medical school. Depression symptoms measured by the PROMIS Emotional Distress-Depression Short-Form. RESULTS: 64% of students reported a negative racial climate; 81% reported witnessing discrimination toward other students at least once, and 94% reported witnessing negative role modeling. Negative racial climate, witnessed discrimination, and negative role modeling were independently and significantly associated with an increase in depression symptoms between baseline and follow-up. Adjusting for students' personal experiences of mistreatment, associations between depressive symptoms and negative racial climate and negative role modeling, remained significant (.72 [.51-.93]; .33 [.12-.54], respectively). CONCLUSIONS: Among medical students, greater exposure to a negative medical school diversity climate was associated with an increase in self-reported depressive symptoms.

Comparison of Health and Health Risk Factors Between Lesbian, Gay, and Bisexual Adults and Heterosexual Adults in the United States: Results From the National Health Interview Survey.

IMPORTANCE: Previous studies identified disparities in health and health risk factors among lesbian, gay, and bisexual (LGB) adults, but prior investigations have been confined to samples not representative of the US adult population or have been limited in size or geographic scope. For the first time in its long history, the 2013 and 2014 National Health Interview Survey included a question on sexual orientation, providing health information on sexual minorities from one of the nation's leading health surveys. OBJECTIVE: To compare health and health risk factors between LGB adults and heterosexual adults in the United States. DESIGN, SETTING, AND PARTICIPANTS: Data from the nationally representative 2013 and 2014 National Health Interview Survey were used to compare health outcomes among lesbian (n = 525), gay (n = 624), and bisexual (n = 515) adults who were 18 years or older and their heterosexual peers (n = 67 150) using logistic regression. MAIN OUTCOMES AND MEASURES: Self-rated health, functional status, chronic conditions, psychological distress, alcohol consumption, and cigarette use. RESULTS: The study cohort comprised 68 814 participants. Their mean (SD) age was 46.8 (11.8) years, and 51.8% (38 063 of 68 814) were female. After controlling for sociodemographic characteristics, gay men were more likely to report severe psychological distress (odds ratio [OR], 2.82; 95% CI, 1.55-5.14), heavy drinking (OR, 1.97; 95% CI, 1.08-3.58), and moderate smoking (OR, 1.98; 95% CI, 1.39-2.81) than heterosexual men; bisexual men were more likely to report severe psychological distress (OR, 4.70; 95% CI, 1.77-12.52), heavy drinking (OR, 3.15; 95% CI, 1.22-8.16), and heavy smoking (OR, 2.10; 95% CI, 1.08-4.10) than heterosexual men; lesbian women were more likely to report moderate psychological distress (OR, 1.34; 95% CI, 1.02-1.76), poor or fair health (OR, 1.91; 95% CI, 1.24-2.95), multiple chronic conditions (OR, 1.58; 95% CI, 1.12-2.22), heavy drinking (OR, 2.63; 95% CI, 1.54-4.50), and heavy smoking (OR, 2.29; 95% CI, 1.36-3.88) than heterosexual women; and bisexual women were more likely to report multiple chronic conditions (OR, 2.07; 95% CI, 1.34-3.20), severe psychological distress (OR, 3.69; 95% CI, 2.19-6.22), heavy drinking (OR, 2.07; 95% CI, 1.20-3.59), and moderate smoking (OR, 1.60; 95% CI, 1.05-2.44) than heterosexual women. CONCLUSIONS AND RELEVANCE: This study supports prior research finding substantial health disparities for LGB adults in the United States, potentially due to the stressors that LGB people experience as a result of interpersonal and structural discrimination. In screening for health issues, clinicians should be sensitive to the needs of sexual minority patients.

Racial Identity and Mental Well-Being: The Experience of African American Medical Students, A Report from the Medical Student CHANGE Study.

PURPOSE: Diversification of the physician workforce continues to be a national priority; however, a paucity of knowledge about the medical school experience for African American medical students limits our ability to achieve this goal. Previous studies document that African American medical students are at greater risk for depression and anxiety. This study moves beyond these findings to explore the role of racial identity (the extent to which a person normatively defines her/himself with regard to race) and its relationship to well-being for African American medical students in their first year of training. METHODS: This study used baseline data from the Medical Student Cognitive Habits and Growth Evaluation (CHANGE) Study; a large national longitudinal cohort study of 4732 medical students at 49 medical schools in the US racial identity for African American students (n = 301) was assessed using the centrality sub-scale of the Multidimensional Inventory of Black Identity. Generalized linear regression models with a Poisson regression family distribution were used to estimate the relative risks of depression, anxiety, and perceived stress. RESULTS: First year African American medical students who had lower levels of racial identity were less likely to experience depressive and anxiety symptoms in their first year of medical school. After controlling for other important social predictors of poor mental health (gender and SES), this finding remained significant. CONCLUSIONS: Results increase knowledge about the role of race as a core part of an individual's self-concept. These findings provide new insight into the relationship between racial identity and psychological distress, particularly with respect to a group of high-achieving young adults.

The mixed impact of medical school on medical students' implicit and explicit weight bias.

CONTEXT: Health care trainees demonstrate implicit (automatic, unconscious) and explicit (conscious) bias against people from stigmatised and marginalised social groups, which can negatively influence communication and decision making. Medical schools are well positioned to intervene and reduce bias in new physicians. OBJECTIVES: This study was designed to assess medical school factors that influence change in implicit and explicit bias against individuals from one stigmatised group: people with obesity. METHODS: This was a prospective cohort study of medical students enrolled at 49 US medical schools randomly selected from all US medical schools within the strata of public and private schools and region. Participants were 1795 medical students surveyed at the beginning of their first year and end of their fourth year. Web-based surveys included measures of weight bias, and medical school experiences and climate. Bias change was compared with changes in bias in the general public over the same period. Linear mixed models were used to assess the impact of curriculum, contact with people with obesity, and faculty role modelling on weight bias change. RESULTS: Increased implicit and explicit biases were associated with less positive contact with patients with obesity and more exposure to faculty role modelling of discriminatory behaviour or negative comments about patients with obesity. Increased implicit bias was associated with training in how to deal with difficult patients. On average, implicit weight bias decreased and explicit bias increased during medical school, over a period of time in which implicit weight bias in the general public increased and explicit bias remained stable. CONCLUSIONS: Medical schools may reduce students' weight biases by increasing positive contact between students and patients with obesity, eliminating unprofessional role modelling by faculty members and residents, and altering curricula focused on treating difficult patients.

Mental Well-Being in First Year Medical Students: A Comparison by Race and Gender: A Report from the Medical Student CHANGE Study.

PURPOSE: In this study, authors sought to characterize race and gender disparities in mental health in a national sample of first year medical students early in their medical school experience. METHOD: This study used cross-sectional baseline data of Medical Student CHANGES, a large national longitudinal study of a cohort of medical students surveyed in the winter of 2010. Authors ascertained respondents via the American Association of Medical Colleges questionnaire, a third-party vendor-compiled list, and referral sampling. RESULTS: A total of 4732 first year medical students completed the baseline survey; of these, 301 were African American and 2890 were White. Compared to White students and after adjusting for relevant covariates, African American students had a greater risk of being classified as having depressive (relative risk (RR)=1.59 [95 % confidence interval, 1.37-2.40]) and anxiety symptoms (RR=1.66 [1.08-2.71]). Women also had a greater risk of being classified as having depressive (RR=1.36 [1.07-1.63]) and anxiety symptoms (RR-1.95 [1.39-2.84]). CONCLUSIONS: At the start of their first year of medical school, African American and female medical students were at a higher risk for depressive symptoms and anxiety than their White and male counterparts, respectively. The findings of this study have practical implications as poor mental and overall health inhibit learning and success in medical school, and physician distress negatively affects quality of clinical care.

The Adverse Effect of Weight Stigma on the Well-Being of Medical Students with Overweight or Obesity: Findings from a National Survey.

BACKGROUND: The stigma of obesity is a common and overt social bias. Negative attitudes and derogatory humor about overweight/obese individuals are commonplace among health care providers and medical students. As such, medical school may be particularly threatening for students who are overweight or obese. OBJECTIVE: The purpose of our study was to assess the frequency that obese/overweight students report being stigmatized, the degree to which stigma is internalized, and the impact of these factors on their well-being. DESIGN: We performed cross-sectional analysis of data from the Medical Student Cognitive Habits and Growth Evaluation Study (CHANGES) survey. PARTICIPANTS: A total of 4,687 first-year medical students (1,146 overweight/obese) from a stratified random sample of 49 medical schools participated in the study. MAIN MEASURES: Implicit and explicit self-stigma were measured with the Implicit Association Test and Anti-Fat Attitudes Questionnaire. Overall health, anxiety, depression, fatigue, self-esteem, sense of mastery, social support, loneliness, and use of alcohol/drugs to cope with stress were measured using previously validated scales. KEY RESULTS: Among obese and overweight students, perceived stigma was associated with each measured component of well-being, including anxiety (beta coefficient [b] = 0.18; standard error [SE] = 0.03; p < 0.001) and depression (b = 0.20; SE = 0.03; p < 0.001). Among the subscales of the explicit self-stigma measure, dislike of obese people was associated with several factors, including depression (b = 0.07; SE = .01; p < 0.001), a lower sense of mastery (b = -0.10; SE = 0.02; p < 0.001), and greater likelihood of using drugs or alcohol to cope with stress (b = .05; SE = 0.01; p < 0.001). Fear of becoming fat was associated with each measured component of well-being, including lower body esteem (b = -0.25; SE = 0.01; p < 0.001) and less social support (b = -0.06; SE = 0.01; p < 0.001). Implicit self-stigma was not consistently associated with well-being factors. Compared to normal-weight/underweight peers, overweight/obese medical students had worse overall health (b = -0.33; SE = 0.03; p < 0.001) and body esteem (b = -0.70; SE = 0.02; p < 0.001), and overweight/obese female students reported less social support (b = -0.12; SE = 0.03; p < 0.001) and more loneliness (b = 0.22; SE = 0.04; p < 0.001). CONCLUSIONS: Perceived and internalized weight stigma may contribute to worse well-being among overweight/obese medical students.

Medical School Experiences Associated with Change in Implicit Racial Bias Among 3547 Students: A Medical Student CHANGES Study Report.

BACKGROUND: Physician implicit (unconscious, automatic) bias has been shown to contribute to racial disparities in medical care. The impact of medical education on implicit racial bias is unknown. OBJECTIVE: To examine the association between change in student implicit racial bias towards African Americans and student reports on their experiences with 1) formal curricula related to disparities in health and health care, cultural competence, and/or minority health; 2) informal curricula including racial climate and role model behavior; and 3) the amount and favorability of interracial contact during school. DESIGN: Prospective observational study involving Web-based questionnaires administered during first (2010) and last (2014) semesters of medical school. PARTICIPANTS: A total of 3547 students from a stratified random sample of 49 U.S. medical schools. MAIN OUTCOME(S) AND MEASURE(S): Change in implicit racial attitudes as assessed by the Black-White Implicit Association Test administered during the first semester and again during the last semester of medical school. KEY RESULTS: In multivariable modeling, having completed the Black-White Implicit Association Test during medical school remained a statistically significant predictor of decreased implicit racial bias (-5.34, p ≤ 0.001: mixed effects regression with random intercept across schools). Students' self-assessed skills regarding providing care to African American patients had a borderline association with decreased implicit racial bias (-2.18, p = 0.056). Having heard negative comments from attending physicians or residents about African American patients (3.17, p = 0.026) and having had unfavorable vs. very favorable contact with African American physicians (18.79, p = 0.003) were statistically significant predictors of increased implicit racial bias. CONCLUSIONS: Medical school experiences in all three domains were independently associated with change in student implicit racial attitudes. These findings are notable given that even small differences in implicit racial attitudes have been shown to affect behavior and that implicit attitudes are developed over a long period of repeated exposure and are difficult to change.

Beliefs about the causes of obesity in a national sample of 4th year medical students.

OBJECTIVE: Physician knowledge of the complex contributors to obesity varies. We do not know whether today's medical students are graduating with deep understanding of the causes of obesity. Our objective was to assess beliefs about causes of obesity in a national sample of 4th year medical students. METHOD: We randomly selected 2000 4th year students from a random sample of 50 U.S. medical schools and asked them to rate the importance of several factors as causes of obesity. Of those invited, 1244 (62%) responded. We conducted latent class analysis to identify groups with similar response patterns. RESULTS: Most students demonstrated knowledge that obesity has multiple contributors. Students fell into 1 of 4 classes: (1) more likely to endorse all contributors (28%), (2) more likely to endorse physiological contributors (27%), (3) more likely to endorse behavioral or social contributors (24%), and (4) unlikely to endorse contributors outside of overeating and physical activity (22%). CONCLUSION: Though students were generally aware of multiple causes, there were 4 distinct patterns of beliefs, with implications for patient care. PRACTICE IMPLICATIONS: Targeted interventions may help to improve depth of knowledge about the causes of obesity and lead to more effective care for obese patients.

Self-Reported Mental Disorders and Distress by Sexual Orientation: Results of the Minnesota College Student Health Survey.

INTRODUCTION: Sexual minority college students (i.e., those not identifying as heterosexual, or those reporting same-sex sexual activity) may be at increased risk of poor mental health, given factors such as minority stress, stigma, and discrimination. Such disparities could have important implications for students' academic achievement, future health, and social functioning. This study compares reports of mental disorder diagnoses, stressful life events, and frequent mental distress across five gender-stratified sexual orientation categories. METHODS: Data were from the 2007-2011 College Student Health Survey, which surveyed a random sample of college students (N=34,324) at 40 Minnesota institutions. Data analysis was conducted in 2013-2014. The prevalence of mental disorder diagnoses, frequent mental distress, and stressful life events were calculated for heterosexual, discordant heterosexual, gay or lesbian, bisexual, and unsure students. Logistic regression models were fit to estimate the association between sexual orientation and mental health outcomes. RESULTS: Lesbian, gay, and bisexual students were more likely to report any mental health disorder diagnosis than were heterosexual students (p<0.05). Lesbian, gay, bisexual, and unsure students were significantly more likely to report frequent mental distress compared to heterosexual students (OR range, 1.6-2.7). All sexual minority groups, with the exception of unsure men, had significantly greater odds of experiencing two or more stressful life events (OR range, 1.3-2.8). CONCLUSIONS: Sexual minority college students experience worse mental health than their heterosexual peers. These students may benefit from interventions that target the structural and social causes of these disparities, and individual-level interventions that consider their unique life experiences.

Disparities in long-term cardiovascular disease risk by sexual identity: The National Longitudinal Study of Adolescent to Adult Health.

OBJECTIVE: To examine long-term cardiovascular disease (CVD) risk disparities by sexual identity using a nationally representative sample of young adults in the United States. METHODS: Data include participants in wave 4 (2008/09; ages 24-34years) of the National Longitudinal Study of Adolescent to Adult Health (7087 females; 6340 males). Sexual identity was self-reported (heterosexual, mostly heterosexual, bisexual, mostly homosexual, homosexual) and a Framingham-based prediction model was used to estimate participants' risk of a CVD event over 30years. Differences in CVD risk by sexual identity, relative to heterosexuals, were calculated with linear regression models adjusted for age, race/ethnicity, education, and financial distress. RESULTS: Average 30-year CVD risk was 17.2% (95% CI: 16.7, 17.7) in males and 9.0% (95% CI: 8.6, 9.3) in females. Compared to heterosexual females, mostly heterosexual (0.8%; 95% CI: 0.2, 1.4) and mostly homosexual females (2.8%; 95% CI: 0.8, 4.9) had higher CVD risk. Bisexual and homosexual females had higher but not statistically significant CVD risk compared to heterosexuals. Among males, differences in CVD risk by sexual identity were not statistically significant. CONCLUSION: Sexual identity was associated with CVD risk in sexual minority subgroups. Population- and clinic-based prevention strategies are needed to minimize disparities in subsequent disease.