Nguyen Khai Tran

Introduction: Since the 2024 U.S. Presidential election, the rights of sexual and gender minority (SGM) people have been at risk. The purpose of this mixed-methods study was to describe SGM people’s thoughts, plans, and decisions to move following the election and to examine whether these thoughts, plans, and decisions differed by participants’ sociodemographic characteristics and mental health symptoms. Methods: Participants completed an online survey between November 5, 2024 and September 20, 2025 for The PRIDE Study, a national, prospective, community-engaged cohort study of SGM adults. Participants responded to closed-ended questions about their: thoughts, plans, and decisions to move; sociodemographic characteristics; and mental health (anxiety, depression, and posttraumatic stress disorder) symptoms. Participants responded to open-ended questions about their moving destinations and moving reasons. Results: The sample included 3,301 participants (48.1% identified as transgender or nonbinary [TNB]). Most participants (85%) thought about, planned to, or decided to move to another state or country. Moving considerations differed by participants’ sociodemographics (e.g., participants with moving thoughts, plans, and decisions were more likely to be TNB than cisgender, ps<.05) and mental health symptoms (e.g., participants with moving thoughts, plans, and decisions had more symptoms than those with no moving thoughts, ps<.05). Participants’ reasons for moving included the increasingly hostile and anti-SGM sociopolitical conditions in their states and the country. Conclusions and Policy Implications: Following the 2024 election, many SGM U.S. adults made plans to or decided to move due to the changing policy environment. Psychological distress from anti-SGM policies may be driving individuals to move.

Background Long COVID affects a substantial proportion of the over 778 million individuals infected with SARS-CoV-2, yet predictive models remain limited in scope. While existing efforts, such as the National COVID Cohort Collaborative (N3C), have leveraged electronic health record (EHR) data for risk prediction and identification, accumulating evidence points to additional contributions from social, behavioral, and genetic factors. Methods Using a diverse cohort of SARS-CoV-2-infected individuals (n > 17,200) from the NIH All of Us Research Program, we investigated whether integrating EHR data with survey-based and genomic information improves model performance. Results Our multi-scale approach outperforms EHR-only model’s area under the receiver operating curve 0.736 (95% CI: 0.730, 0.741), achieving an area of 0.748 (0.741,0.755). Among the top predictors, active-duty service status, and self-reported fatigue are the most informative survey features. Conclusions These findings highlight the importance of incorporating multi-scale data to improve risk stratification and inform personalized interventions for long COVID. However the relative increase in accuracy is modest, and the cost of collecting genetic and survey data should be considered before implementation.

Place-based disorder and social cohesion may influence lesbian, gay, bisexual, transgender, queer, intersex, asexual, and other sexual and gender minority (LGBTQIA+) adults’ physical and mental health in meaningful ways given their heightened exposure to minority stress and discrimination. However, few studies have examined these associations. Using a sample of 3790 LGBTQIA+ adults in 786 counties from The Population Research in Identity and Disparities for Equality Study, we assessed associations of place-based disorder and social cohesion with depressive symptoms, perceived stress, and physical health using linear mixed models. We tested effect modification by gender modality and ethnoracial group. Residing in counties with higher social cohesion by 1 unit was associated with 1.06 points lower (95% CI, −1.56, −0.56) for depressive symptoms, 1.60 points lower (95% CI, −2.26, −0.94) for perceived stress, and 1.17 points higher (95% CI, 0.43, 1.90) for physical health. Residing in counties with higher place-based disorder by 1 unit was associated with 1.17 points higher (95% CI, 0.32, 2.01) for perceived stress; no association was observed for depressive symptoms or physical health. We did not detect evidence of effect modification by ethnoracial groups, though the association between place-based disorder and depressive symptoms appeared to differ by gender modality. Findings indicate that physical and social environments are important to the health of LGBTQIA+ individuals.

Place-based disorder and social cohesion may influence LGBTQIA+ adults' physical and mental health in meaningful ways given their heightened exposure to minority stress and discrimination. However, few studies have examined these associations. Using a sample of 3790 LGBTQIA+ adults in 786 counties from The Population Research in Identity and Disparities for Equality Study, we assessed associations of place-based disorder and social cohesion with depressive symptoms, perceived stress, and physical health using linear mixed models. We tested effect modification by gender modality and ethnoracial group. Residing in counties with higher social cohesion by 1-unit was associated with 1.06 lower points (95% CI -1.56, -0.56) for depressive symptoms, 1.60 lower points (95% CI -2.26, -0.94) for perceived stress, and 1.17 higher points (95% CI 0.43, 1.90) for physical health. Residence in counties with higher place-based disorder by 1-unit was only associated with 1.17 higher points (95% CI 0.32, 2.01) for perceived stress; no association was observed for depressive symptoms or physical health. Findings indicate that physical and social environments are important to the health of LGBTQIA+ individuals.

Long COVID affects a substantial proportion of the over 778 million individuals infected with SARS-CoV-2, yet predictive models remain limited in scope. While existing efforts, such as the National COVID Cohort Collaborative (N3C), have leveraged electronic health record (EHR) data for risk prediction, accumulating evidence points to additional contributions from social, behavioral, and genetic factors. Using a diverse cohort of SARS-CoV-2-infected individuals (n>17,200) from the NIH All of Us Research Program, we investigated whether integrating EHR data with survey-based and genomic information improves model performance. Our multi-scale approach outperformed EHR-only models original AUROC 0.736 (95% CI: 0.730, 0.741), achieving an AUROC of 0.748 (0.741,0.755). Among the top predictors, active-duty service status, self-reported fatigue, and chr19:4719431:G:A_A were among the most informative survey and genetic features. These findings highlight the importance of incorporating multi-scale data to improve risk stratification and inform personalized interventions for long COVID.

Background: Individuals who are lesbian, gay, bisexual, transgender, queer or questioning, intersex, aromantic, asexual, or another sexual or gender minority (LGBTQIA+) are at greater risk of both intimate partner violence (IPV) and substance use compared to their cisgender, heterosexual counterparts. However, knowledge regarding the complex relationship between IPV and substance use in LGBTQIA+ communities is limited. Methods: This study used data from 2 years of The PRIDE (Population Research in Identity and Disparities for Equality) Study, a nationwide, community-based sample of LGBTQIA+ adults in the United States. Past-year IPV in 2021 was measured using the Extended-Hurt, Insulted, Threaten, Scream scale. Substances used in 2022 were measured via the NIDA-Modified Alcohol, Smoking, and Substance Involvement Screening Test (NM ASSIST). Linear and modified Poisson regression models explored temporal relationships between past-year IPV and prospective substance use. Results: Participants (n = 3745) were relatively young (median= 34 years, interquartile range: 27.6-48.5) and represented diverse LGBTQIA+ subcommunities. Approximately one-quarter (23.7%) were cisgender women and 17% were cisgender men. Half (49.2%) were gender minority people. Overall, one-quarter (24.6%) reported exposure to IPV in 2021. In adjusted models, past-year IPV was associated with prospective substance use (risk ratio [RR]: 1.11; 95% CI, 1.03-1.19). Additionally, more frequent IPV was associated with a higher prospective NM ASSIST score for cannabis (B: 0.22; 95% CI, 0.08-0.36), stimulants (B: 0.20; 95% CI, 0.06-0.35), hallucinogens (B: 0.07; 95% CI, 0.02-0.12), and narcotics (B: 0.12; 95% CI, 0.03-0.20). Conclusions: Exposure to IPV in 2021 was linked to greater substance use in 2022. Findings underscore the role of IPV in substance use among LGBTQIA+ people. Furthermore, they point to the need for increased IPV screening and referral among LGBTQIA+ people, as well as the potential efficacy of trauma-informed substance use interventions that address IPV.