Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2025 Dec 4.
Published in final edited form as: Eur Heart J. 2025 Nov 3;46(41):4270–4281. doi: 10.1093/eurheartj/ehaf597

Sexual minority populations and disparities in cardiovascular healthcare

Yashika Sharma 1, Omar Deraz 2, Catherine Meads 3, Nicole Rosendale 4, Billy A Caceres 5
PMCID: PMC12579976  NIHMSID: NIHMS2112098  PMID: 40900101

Introduction

Cardiovascular disease (CVD), such as heart attack, coronary heart disease, and stroke, remains the leading cause of death worldwide (1,2). The prevalence of CVD is expected to increase by 90% due to population aging and rising rates of obesity, hypertension, and diabetes (2). Regional disparities are anticipated to persist, with the highest cardiovascular mortality projected in Central Europe, Eastern Europe, and Central Asia (2,3). Therefore, it is critical to address the cardiovascular health (CVH) disparities that have been observed across several population groups (1).

Sexual minority (SM; e.g., lesbian, gay, bisexual, queer, and other non-heterosexual) people represent a growing population globally that has been documented to have a higher prevalence of several CVD risk factors compared to heterosexual people across the lifecourse (46). A recent online survey conducted in 43 countries estimated that 3–11% of adults identify as SM with higher estimates observed among those living in progressive environments and younger generations (7). For instance, in the United States (US), approximately 23% of Gen-Z (those born between 1997–2006) identifies as SM (8).

Table 1 summarizes research on CVH disparities among SM people. Multiple studies have demonstrated that SM youth and adults have a higher prevalence of tobacco (913) and alcohol use (12,1416) compared to their heterosexual counterparts. These disparities are attributed in part to efforts by tobacco and alcohol companies to market their products at SM bars and community events (17,18). Moreover, SM youth and adults are at higher risk of sleep problems (e.g., short sleep duration, poor sleep quality) than heterosexual people (1922).

Table 1.

Summary of research on cardiovascular health disparities among sexual minority people.

Risk factors Relevant findings
Tobacco use • Higher prevalence of tobacco use among sexual minority people compared to their heterosexual counterparts across the lifecourse
• Tobacco use appears to be highest among bisexual adults
Alcohol use • Higher prevalence of alcohol use among sexual minority people compared to their heterosexual counterparts across the lifecourse
• Tobacco use appears to be highest among sexual minority women and bisexual adults
Sleep health • Higher prevalence of sleep problems (e.g., short sleep duration, poor sleep quality) among sexual minority people compared to their heterosexual counterparts across the lifecourse
• Sleep problems are highest among sexual minority women and people of color
Physical activity • Findings for sexual minority women and bisexual men are mixed
• Gay men, particularly younger men, are more likely to meet physical activity recommendations than heterosexual men
• Older gay men are less likely to engage in physical activity than older heterosexual men
• Sexual minority girls and boys have a higher prevalence of physical inactivity than their heterosexual peers
Diet quality • Gay and bisexual men have better diet quality than gay men
• Findings for sexual minority women are mixed
Obesity • Sexual minority women are consistently shown to be more likely to meet criteria for obesity relative to heterosexual women
• Bisexual men may be more likely than heterosexual men to meet criteria for obesity
• Gay men are less likely than heterosexual me to meet criteria for obesity
• Sexual minority people of color are at higher risk of obesity than both their White sexual minority and heterosexual counterparts
Hypertension • Findings are mixed, but sexual minority people of color are at highest risk of hypertension than both their White sexual minority and heterosexual counterparts
Diabetes • Findings are mixed
• Younger sexual minority women are at higher risk of developing diabetes than younger heterosexual women
• Sexual minority people of color are at highest risk of diabetes than both their White sexual minority and heterosexual counterparts
Hyperlipidemia • No consistent disparities observed between sexual minority and heterosexual people

Fewer studies have examined disparities in physical activity (PA) and diet quality, but findings for SM women are largely mixed (2326). In contrast, gay men report higher PA than heterosexual men (23,24). Studies conducted in the US and France have found that gay and bisexual men have better diet quality than heterosexual men (6,2527). Among youth, SM boys and girls are less likely to PA recommendations than heterosexual youth (12,28,29).

There is overwhelming evidence that SM women are more likely than heterosexual women to meet criteria for obesity (4,6,30,31). Gay men appear less likely than heterosexual men to meet criteria for obesity, whereas findings for bisexual men are conflicting (4,6,30,32,33). SM girls and bisexual boys in the US have 32–53% higher odds of meeting criteria for obesity than their heterosexual peers (12).

Research on disparities in hypertension and diabetes among SM people is conflicting (5,31,32,3436). However, SM women and bisexual men have a higher risk of hypertension in studies that have objectively assessed blood pressure (32,3436). Most studies suggest that there are no differences in hyperlipidemia or the use of lipid-lowering medications between SM and heterosexual adults (4,6,3638). Evidence on disparities in CVD diagnoses is conflicting and has been primarily based on self-reported data (4,3944).

Leading health organizations have called for increased efforts to address CVH disparities among SM populations; however, significant gaps remain. To our knowledge, no interventions specifically target CVD risk and/or management among SM people, which presents a barrier to progress in the field. Further, the mechanisms underlying these disparities remain unclear. Understanding mechanisms contributing to CVH disparities among SM people can help identify effective targets for clinical and public health interventions. Therefore, the purpose of this state-of-the-art review was to: 1) elucidate the potential mechanisms underlying CVH disparities among SM populations; 2) analyze research gaps; and 3) provide suggestions for improving cardiovascular care and identifying potential targets for clinical and public health interventions in this population.

Importantly, this review does not include gender minority (e.g., transgender, nonbinary) people. Gender minority people encounter distinct clinical factors (e.g., gender-affirming care) and greater social challenges that can impact their CVH differently than SM people (45). Thus, the CVH of gender minority people warrants tailored interventions and separate investigation from SM people.

Potential Mechanisms of CVH Disparities among SM People

Social determinants of health, such as socioeconomic status and experiences of discrimination, can influence stress exposure and access to care (46). The minority stress model, the prevailing explanation for health disparities among SM people (47,48), was adapted in 2020 to examine CVH disparities among SM people (4). The newly adapted minority stress model of CVH integrates the minority stress (47,48) and socioecological models (49) to explicate how chronic exposure to minority stressors is a fundamental driver of adverse cardiovascular outcomes among SM people (4). Minority stressors at the individual (e.g., expectations of rejection), interpersonal (e.g., experiences of discrimination), and structural (e.g., discriminatory policies) levels are theorized to influence CVD risk among SM people through psychosocial (e.g., depressive symptoms), behavioral (e.g., tobacco use), and physiological (e.g., chronic inflammation) pathways (4).

Structural stigma (i.e., “the societal-level conditions, cultural norms, and institutional policies that constrain opportunities, resources, and wellbeing [59])” is an important but understudied minority stressor in the literature. Acceptance of SM people and discriminatory policies, which may impact the CVH of SM people, vary widely globally. For instance, same-sex relationships are criminalized in approximately one-third of countries (51). There has also been a recent proliferation of discriminatory policies targeting SM people in Europe, the Middle East, Asia, and North America (52,53). These policies can heighten chronic stress, which can affect their CVH.

Guided by the AHA’s Life’s Essential 8 (54), we summarize research on mechanisms of disparities in tobacco use, sleep health, PA, diet quality, obesity, hypertension, diabetes, hyperlipidemia, and CVD diagnoses among SM people. Given that psychological health and alcohol use are associated with CVH (55,56) and because of their heightened prevalence among SM people (4,16,57,58), we also summarize evidence for these factors.

Psychological Health

Psychological health plays an important role in CVD development (56,59). Indeed, the addition of depression to Life’s Essential 8 enhances prediction of cardiovascular and all-cause mortality (56,59). Therefore, researchers have called for the addition of psychological health to CVD risk prediction algorithms (56).

Adverse psychological health outcomes are hypothesized as key drivers of CVH disparities among SM people (4). Meta-analyses indicate that SM youth and adults have a higher prevalence of adverse psychological health outcomes, such as depression and anxiety, that is primarily attributed to minority stressors and interpersonal violence (e.g., physical abuse, sexual abuse) (57,58).

Alcohol Use

Multiple studies from the US have found that minority stressors, interpersonal violence, and living in socially conservative environments are associated with higher alcohol use among SM people (6062). Structural stigma has also been linked with higher alcohol use and adverse alcohol-related outcomes among SM populations, particularly SM people of color (63,64).

Tobacco Use

Several determinants of tobacco use have been identified among SM people. A recent systematic review found that of the 28 studies that assessed experiences of discrimination, 86% (n=24) identified discrimination as a contributor to tobacco use among SM people (65). A notable gap was that only five (11.3%) studies were conducted outside the US (65). Experiences of discrimination are also associated with concurrent use of two or more tobacco products among SM adults (66). Further, a cross-sectional study of over 11,000 SM adolescents in the US found that family rejection was independently associated with increased tobacco use (67).

Interpersonal violence is an important predictor of tobacco use among SM people. Analyses of US data (N = 15,612) found that peer victimization and sexual abuse were significantly associated with increased tobacco use among SM adolescents (68). These findings are consistent with prior work among SM adults (69,70).

Social connectedness (i.e., one’s perception of belongingness) appears to influence tobacco use among SM people. In a sample of SM women in the US (N = 501), investigators found that in-person social support was associated with both increased and decreased tobacco use during the beginning of the COVID-19 pandemic (71). In addition, an analysis of over 670,000 adults in the US found that SM people living in rural areas had 38% higher odds of smoking than those living in urban areas (72). Evidence from qualitative studies suggests that SM people engage in smoking as a way to facilitate bonding and reinforce a sense of community people (73).

Studies from Canada, the Netherlands, and the US indicate that structural stigma is positively associated with tobacco use among SM people across the lifecourse (64).

Sleep Health

A scoping review of 76 US-based studies found that minority stressors were the most widely studied determinants of sleep health among SM people; however, only one study examined structural stigma (19). In a sample of 17,378 people in the US, investigators found that women in same-sex couples who lived in states with lower support for same-sex marriage reported feeling less rested relative to women in different-sex couples (74). Studies in the US and China have shown that minority stressors, including experiences of discrimination, anticipated discrimination (i.e., expectation of encountering discrimination), and internalized homophobia (i.e., one’s internalization of negative societal values towards SM people), are associated with shorter sleep duration and poor sleep quality among SM adults (7577). Moreover, studies in France have found that lower perceived neighborhood safety, greater financial hardship, and greater neighborhood crime are associated with poor sleep quality among SM men (7880).

Physical Activity

Few studies have examined determinants of PA among SM adults, but qualitative studies from the US and Australia provide plausible explanations for the higher PA observed among gay men (8183). Gay men report their PA regimens are largely motivated by a desire to achieve and/or maintain a slim or muscular body and fears of not conforming to body expectations within the gay community (81). Although findings related to PA among SM women are largely mixed (23,24), motivations for engaging in PA may vary by age (84). For instance, younger SM women appear more likely to view body diversity as empowering, while older SM women place a greater emphasis on engaging in PA to promote their health (84).

There is more evidence on factors that drive lower engagement in PA among SM youth (12,28,29). A study of adolescents in the US (N = 1,926) found that lower PA and lower engagement in team sports among SM participants were partially explained by greater childhood gender nonconformity and lower athletic self-esteem (29). Higher parental expectation for PA was associated with lower PA among SM boys, but not SM girls (29). Another potential explanation is provided by social identity theory, which posits that heteronormativity in sports as well as both covert and overt discriminatory attitudes contribute to lower PA among SM youth (85).

Diet Quality

SM people have a higher prevalence of disordered eating across the lifecourse (86,87) that is partially attributed to minority stressors (26,88,89) and can influence their diet quality. Moreover, food insecurity (i.e., lack of regular access to sufficient food for healthy living) is an important contributor to poor diet quality (90,91), CVD risk, and cardiovascular mortality (92,93). SM women are more likely to experience food insecurity than heterosexual women (26,94). Investigators have yet to examine whether disordered eating and food insecurity play a role in the documented disparities in diet quality among SM women (25).

Obesity

As described above, SM women appear to have a higher prevalence of obesity than heterosexual women. This has been attributed, in part, to their rejection of heteronormative standards of women’s beauty and greater acceptance of diverse body types (95). Determinants of obesity among SM women include greater childhood and adult trauma (9698), depressive symptoms, binge eating, and heavy drinking (99,100). Longer relationship length and lower relationship consensus also contribute to increased risk of obesity among SM women (99). Factors associated with a lower likelihood of obesity among SM women include exercising with a same-sex peer (29) and living in an environment that is supportive of SM people (101).

For SM men, lower educational attainment (102), unemployment (103), greater childhood sexual abuse (104), greater disordered eating and body dissatisfaction (105), and higher depressive, anxiety, and stress symptoms (103) are associated with higher risk of obesity. Among SM college students, men living in environments that are supportive of SM people appear to have lower odds of having elevated body mass index (101).

Few studies have examined the influence of minority stressors on obesity among SM people and evidence is mixed. A recent study of 731 gay men in Taiwan found that minority stress strengthened the influence of childhood sexual abuse on obesity (104). Similarly, a study of 367 SM youth in the US found that microaggressions (defined as “verbal and behavioral interactions that intentionally or unintentionally communicate disparaging and invalidating messages to minoritized people” (106)) were associated with 88% higher odds of meeting criteria for obesity (107); however, SM internalized stigma and SM victimization were not associated with obesity (107).

Hypertension

Research investigating mechanisms leading to hypertension disparities has largely focused on minority stressors and interpersonal violence (97,98,108,109). Analyses of data from the Chicago Health and Life Experiences of Women (CHLEW) Study found that both lifetime exposure to trauma and revictimization (i.e., experiencing trauma in both childhood and adulthood) were associated with higher odds of hypertension among SM women (97,98). In this same dataset, investigators found that internalized homophobia, but not sexual orientation-based experiences of discrimination, was associated with 48% higher odds of developing hypertension at 7-year follow-up (N = 380) (109). However, this contradicts findings from a previous cross-sectional study that found no association between internalized homophobia and hypertension among SM women (108).

Findings are mixed for SM men. Analyses of data from the National Longitudinal Study of Adolescent to Adult Health (Add Health; N = 6,678) in the US found that gay and mostly gay men had higher odds of hypertension compared to heterosexual men (110). This finding remained significant after adjusting for experiences of discrimination and physical abuse (110). Among men who have sex with men (MSM) living with HIV in the US (N = 60), those who reported experiences of racial discrimination had greater odds of hypertension compared with those who did not (111). However, sexual orientation-based discrimination was not associated with hypertension (111). New evidence suggests that conversation therapy (i.e., practices used to change same-sex attractions and behaviors and/or SM identities) may impact hypertension risk among SM men (112). Investigators in the US found that SM men (N = 703) who were ever exposed to conversion therapy had higher systolic and diastolic blood pressure and had 2.8 times higher odds of reporting a diagnosis of hypertension than those who did not receive conversion therapy (112).

Although family-related factors are important for the well-being of SM people (113), limited research has examined their role in the development of hypertension in this population (4). A notable exception is a cross-sectional analysis of CHLEW data that found that greater family social support, but not disclosure of sexual orientation to family, was associated with lower odds of developing hypertension among SM women (114).

Additional analyses of Add Health data (N = 3,396) found that a higher number of state-level sexual orientation-based nondiscrimination laws was protective, with an 18–20% lower risk of hypertension during pregnancy among African American/Black SM women as well as among White women regardless of their sexual orientation (115).

Diabetes & Hyperlipidemia

Fewer studies have examined determinants of diabetes and hyperlipidemia among SM people. Analyses of CHLEW data (N = 547) found that childhood trauma, but not adulthood trauma, was associated with 58% higher odds of self-reported diabetes among SM women (98). In another study of SM women (N = 1,029), investigators found that internalized sexism, but not internalized homophobia, was associated with 2 times higher odds of self-reported diabetes (108). Given that there are few sexual orientation differences in hyperlipidemia, it is not surprising that there is limited evidence on determinants of hyperlipidemia.

CVD Diagnoses

There is a paucity of studies examining determinants of CVD diagnoses among SM people. Some studies have identified associations between sexual orientation and CVD diagnoses that persist despite adjusting for social determinants, suggesting that there are unmeasured factors that drive CVH disparities among SM adults (41,42,44,116,117). Although not measured in existing studies, researchers postulate that the development of CVD among SM adults is influenced by exposure to minority stressors.

Mediating Factors

There is growing research regarding factors that mediate the associations of minority stressors and other social determinants with CVD risk among SM people. Most of this work has focused on psychological health. Consistent with the minority stress model of CVH, multiple studies have found that depressive symptoms, anxiety, and psychological distress partially mediate the associations of minority stressors with tobacco use (118120), alcohol use (121123), and sleep problems (22,77,124) among SM youth and adults. Further, adulthood trauma appears to mediate the associations of childhood trauma with tobacco use among bisexual women (125). In addition, analyses of population-based data from the US found that depression and anxiety mediated the association of SM status with CVD prevalence (126). Evidence for other CVD risk factors is lacking. Overall, this evidence suggests that behavioral interventions that simultaneously target minority stressors and psychological health may be beneficial for CVD prevention and management among SM people.

Additional mediators have also been identified. A study of 2,649 SM young adults in the US found that the positive association between structural stigma and tobacco use was mediated by economic resources (i.e., financial strain and food insecurity) (127). Moreover, a study of SM adults in China (N = 401) found that primal threat (i.e., sense of threat to basic human needs) partially mediated the associations of experiences of discrimination and anticipated discrimination with sleep disturbances (76). In a study of 670 SM adults in the US, investigators found that both discriminatory experiences and internalized homophobia were indirectly associated with higher cumulative CVD risk through sense of mastery (i.e., perception of having control over one’s life) (128).

Research Gaps

Existing research on CVH disparities among SM people has significant methodological weaknesses. Most studies have focused on documenting differences in individual CVD risk factors rather than investigating the psychosocial, behavioral, and physiological mechanisms that may contribute to heightened CVD risk among SM people. Although psychological health has been identified as an important driver of CVD risk among SM people, other mechanisms remain understudied. This lack of attention to mechanisms has hindered the development of interventions to improve the CVH of SM people. The majority of studies that have focused on identifying mechanisms have been cross-sectional. Therefore, future studies with longitudinal designs are critical to illuminate these mechanisms.

Most studies use self-reported data to assess CVD diagnoses (4,3944). This overreliance on self-reported data is a considerable limitation as SM adults, particularly women, are more likely to delay and avoid healthcare than heterosexual adults due to financial concerns and fear of discrimination in healthcare settings (129132). Self-reported data are also susceptible to social desirability and recall bias and may underrepresent the true prevalence of CVD diagnoses. Therefore, the lack of objective cardiovascular assessments in the literature limits the reliability and generalizability of findings.

The limited inclusion of measures of sexual orientation in existing data sources, such as population-based studies and electronic health records, is another notable limitation. Much of the literature is based on overlapping datasets from the US and other high-income countries, which limits generalizability of findings to SM people living in low- and middle-income countries and our understanding of variations in CVD risk among SM populations across countries.

There is a need to examine multilevel determinants of CVH among SM people. Most evidence to date has primarily focused on interpersonal factors, such as experiences of discrimination and interpersonal violence, with limited attention to structural and neighborhood-level factors. There is also a gap related to the influence of protective factors (e.g., social support, community connectedness) on CVD risk among SM people.

Although there has been considerable work on the CVH of gay, lesbian, and bisexual people, significant gaps remain in our understanding of CVD risk among other SM groups (e.g., pansexual, asexual) (4). The prevalence of CVD risk factors and the determinants of CVH in these other SM groups remain unknown (4). Similarly, there has been limited research on CVH disparities among middle-aged and older SM adults with an existing CVD diagnosis. This is an important area for future work.

Suggestions

Despite the identified methodological limitations, there is consistent evidence that minority stressors are associated with a higher prevalence of tobacco use, alcohol use, sleep problems, physical inactivity, obesity, and hypertension among SM people across the lifecourse. Further, psychological health appears to mediate the associations of minority stressors with tobacco use, alcohol use, and sleep problems among SM people. These are important considerations that must be accounted for in future efforts to improve cardiovascular care and develop clinical and public health interventions to prevent and manage CVD among SM people.

Improving Cardiovascular Care

Figure 1 presents suggestions and implementation strategies for improving cardiovascular care of SM populations. Our suggestions provide strategies that clinicians, healthcare systems, academic institutions, community-based organizations, and policymakers can collaborate on to promote affirming cardiovascular care that meets the unique needs of SM patients. We recognize that implementation of these suggestions may vary across countries based on sociocultural context, availability of resources, healthcare infrastructure, and healthcare education.

Figure 1.

Figure 1.

Suggestions for improving cardiovascular care of sexual minority populations.

  1. Healthcare systems and academic institutions must expand clinical training and education on SM health to increase clinicians’ ability to prevent and manage CVD among SM populations. One of the greatest challenges to reducing CVH disparities is the lack of SM health training within the healthcare and public health workforce globally (133). Recent work suggests that SM adults who report having an SM-affirming clinician are more likely to attend routine checkups and follow recommendations for preventive care and screening (134). While cultural humility and inclusive care are recognized as essential components of high-quality care (135), most health professions curricula have limited content on SM health (136,137). In addition to including SM didactic content in health professions curricula, educators can incorporate the use of simulated patient encounters with SM patients and clinical rotations in local SM-serving clinics or community-based organizations. Clinicians should also advocate for widespread SM health training as part of ongoing continuing education and licensure.

  2. Cardiovascular clinicians should adopt a trauma-informed, culturally-responsive approach to providing care for SM patients. Trauma-informed care recognizes the impact of trauma and focuses on creating a safe, supportive, and empowering environment (138,139). Although counseling on lifestyle modification is part of standard cardiovascular care, it is often delivered without consideration to the experiences of SM patients who may have experienced significant exposure to minority stressors and/or interpersonal violence. Clinicians could assess past exposure to minority stressors and violence to better understand factors that influence SM people’s CVH as well as their utilization of healthcare services. When possible, clinicians should refer SM patients to SM-affirming resources in the community, such as SM-affirming mental health professionals and community-based organizations.

  3. Cardiovascular clinicians should advocate for the routine collection of sexual orientation during healthcare visits. Globally, the collection of data on sexual orientation during healthcare encounters is limited and varies widely (140). Without standardized collection, it is difficult for cardiovascular clinicians to effectively tailor their care to the needs of SM patients. Practicing clinicians, health professions students, and healthcare staff should be trained in sensitive collection and use of data on sexual orientation to promote inclusive cardiovascular care for SM patients. They should be prepared to explain to patients why this information is being collected and how it could inform their care. Strategies to improve sexual orientation data collection must be tailored to local infrastructure and sociocultural context. For instance, where applicable, healthcare systems can incorporate structured fields for sexual orientation into electronic health records (EHRs). In settings where EHRs are not available, intake forms should be revised to collect this information.

  4. Clinicians should promote nondiscrimination policies at the healthcare system, local, and national levels that explicitly include sexual orientation. These policies are essential for addressing marginalization in healthcare settings, reducing barriers to care, and creating healthcare environments where SM patients feel safe and supported. Importantly, nondiscrimination policies must be accompanied by efforts to ensure that inclusive practices are embedded throughout the healthcare system and institutional accountability mechanisms, such as anonymous reporting systems for bias-related incidents, structured processes for staff feedback, and quality improvement initiatives.

  5. Clinicians and healthcare systems should partner with policymakers and SM-led organizations to remove structural barriers to high-quality cardiovascular care for SM people. For example, these partnerships can focus on developing community-based screening and referral, advocating for legal protections for SM people, addressing food insecurity among SM communities, and expanding access to SM-inclusive healthcare.

Development and Implementation of Clinical and Public Health Interventions

Interventions for CVD prevention and management among SM people remain limited. Tobacco and alcohol use are the CVD risk behaviors that have been most targeted in individual-level behavioral interventions for SM people. A scoping review of 15 tobacco cessation and prevention programs found that most interventions tailored for SM people focused on individual-level factors, such as readiness to quit, with limited attention to multilevel determinants (141). While culturally tailored tobacco cessation programs are associated with higher participant satisfaction and engagement among SM people, their effectiveness in achieving sustained cessation is mixed (141). There is a need for tailored tobacco cessation strategies for SM populations that target multilevel determinants to reduce tobacco-related inequities.

Alcohol-related interventions for SM populations have similar limitations. A scoping review identified 15 intervention studies targeting alcohol use, most of which focused on SM men (142). The majority of interventions for alcohol use have employed individual-level approaches, such as cognitive behavioral therapy (CBT) and motivational interviewing (142). Only two interventions were identified that targeted structural features of gay bars to reduce alcohol use among SM men (142). In addition, few interventions have explored differences in intervention effectiveness across SM subgroups (e.g., gay/lesbian vs. bisexual), highlighting an important gap in the literature (142).

Interventions targeting PA, diet, and weight management among SM populations are limited. A recent scoping review found that only four interventions (all US-based) focused on PA among SM people (23). Although two of these interventions demonstrated modest improvements in PA, these interventions had notable limitations, including minimal cultural tailoring, failure to address minority stressors, and a lack of long-term follow-up (23). The Healthy Weight in Lesbian and Bisexual Women Study in the US is one of the only culturally tailored multicomponent interventions to address weight among SM women (aged 40 and older) (143). Approximately 95% of participants achieved at least one targeted health behavior change, and 58% achieved three or more, with improvements noted for PA, dietary quality, and waist-to-height ratio (143). Findings from this intervention highlight the potential benefits of multicomponent, community-based strategies that are tailored to the specific needs of SM populations (143).

To our knowledge, there are no evidence-based interventions that target other CVD risk factors (e.g., sleep health, hypertension) or that focus on improving CVD management among SM people.

Figure 2 presents suggestions and implementation strategies for clinical and public health interventions for CVD prevention and management among SM people. Our suggestions provide strategies that clinicians, healthcare systems, and community-based organizations can adopt to address CVH disparities among SM populations using a multidimensional equity-focused approach.

Figure 2.

Figure 2.

Suggestions for clinical and public health interventions for cardiovascular disease risk reduction among sexual minority people.

  1. Conduct longitudinal research to investigate the psychosocial, behavioral, and physiological mechanisms by which minority stressors and other social and structural determinants influence CVD risk and CVD management among SM people. This research can help identify the most important targets for future interventions. Strategies to enhance protective factors, such as peer support and connectedness to the SM community, should also be examined as they may influence the effectiveness of clinical and public health interventions. Moreover, although much of the existing research has focused on CVD risk, investigators must address critical knowledge gaps related to the experiences of SM people with CVD.

  2. Design multicomponent interventions for the prevention and management of CVD among SM people. Prior work supports the effectiveness of interventions that target multiple risk factors, such as PA and diet quality (143). Future interventions should adapt similar modalities that incorporate multicomponent strategies.

  3. Develop interventions that simultaneously target lifestyle modification, multilevel determinants (such as minority stressors, healthcare access, and food insecurity), and psychological health. Although CBT-based interventions have been successfully used to address minority stressors in the context of HIV, psychological health, and substance use among SM people (142,144), these approaches have not yet been extended to CVD risk reduction. We found that psychological health mediates the associations between minority stressors and CVH among SM people. Thus, interventions must also address psychological health to improve the CVH of SM people. For example, a multicomponent intervention could combine smoking cessation with brief CBT to manage minority stress and reduce depressive symptoms among SM people.

  4. Healthcare systems should develop cross-sector partnerships with SM-led organizations to deliver community-based interventions to SM people. There is a need for public health interventions to complement clinical initiatives to support CVD prevention and management among SM people. Individual-level approaches, such as routine screening and motivational interviewing for tobacco use, can be combined with community-based strategies to reduce structural barriers to healthcare delivery. For instance, healthcare systems could partner with a local SM-led community-based organization to deliver health and social services (e.g., heart-healthy meals, peer support) to SM adults recently discharged following a CVD event.

  5. Researchers and clinicians should partner with SM communities in the development and implementation of clinical and public health interventions. Community engagement is essential at each step of intervention development to ensure that interventions are culturally tailored, acceptable, and responsive to the distinct needs of subgroups within the SM community. For example, investigators developing a weight management intervention for SM women should collaborate with community members to explore values and norms around body image, potential barriers to intervention delivery, and preferred delivery methods (e.g., in-person vs. virtual; group vs. individual).

Conclusion

This state-of-the-art review builds on existing evidence regarding CVH disparities among SM people and provides suggestions for future work to eliminate these disparities. We identified multilevel determinants associated with the CVH of SM populations across the lifecourse. However, research on contributors to diabetes, hyperlipidemia, and CVD diagnoses among SM people remains limited. Based on existing evidence, we conclude that studies investigating CVH disparities among SM people have considerable methodological limitations. These limitations must be addressed in future work to improve our understanding of underlying mechanisms driving CVH disparities among SM people. We also provide suggestions for improving cardiovascular care and considerations for designing and implementing clinical and public health interventions for CVD prevention and management among SM people. This review can help cardiovascular clinicians and researchers devise strategies to reduce CVH disparities among SM populations.

References

  • 1.Martin SS, Aday AW, Allen NB, Almarzooq ZI, Anderson CAM, Arora P, et al. 2025 Heart disease and stroke statistics: A report of US and global data from the American Heart Association. Circulation. 2025;151(8):e41–660. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Chong B, Jayabaskaran J, Jauhari SM, Chan SP, Goh R, Kueh MTW, et al. Global burden of cardiovascular diseases: projections from 2025 to 2050. Eur J Prev Cardiol. 2024. Sep 13;zwae281. [DOI] [PubMed] [Google Scholar]
  • 3.Goh RSJ, Chong B, Jayabaskaran J, Jauhari SM, Chan SP, Kueh MTW, et al. The burden of cardiovascular disease in Asia from 2025 to 2050: A forecast analysis for East Asia, South Asia, South-East Asia, Central Asia, and high-income Asia Pacific regions. The Lancet Regional Health - Western Pacific. 2024. Aug;49:101138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Caceres BA, Streed CG, Corliss HL, Lloyd-Jones DM, Matthews PA, Mukherjee M, et al. Assessing and addressing cardiovascular health in LGBTQ Adults: A scientific statement from the American Heart Association. Circulation. 2020. Nov 10;142(19):e321–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Saunders CL, MacCarthy S, Meads C, Massou E, Mant J, Saunders AM, et al. Long-term conditions among sexual minority adults in England: Evidence from a cross-sectional analysis of responses to the English GP Patient Survey. BJGP Open. 2021. Oct;5(5):BJGPO.2021.0067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Deraz O, Caceres B, Streed CG, Beach LB, Jouven X, Touvier M, et al. Sexual minority status disparities in Life’s Essential 8 and Life’s Simple 7 cardiovascular health scores: A French nationwide population-based study. J Am Heart Assoc. 2023. Jun 6;12(11):e028429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Statista. Share of respondents who identify as LGBT+ in selected countries worldwide as of 2023 [Internet]. 2024. [cited 2025 Jun 26]. Available from: https://www.statista.com/chart/30142/respondents-who-identify-as-lgbt--in-selected-countries/
  • 8.Jones JM. Gallup. 2025. [cited 2024 Jun 26]. LGBTQ+ Identification in U.S. Rises to 9.3%. Available from: https://news.gallup.com/poll/656708/lgbtq-identification-rises.aspx [Google Scholar]
  • 9.Shokoohi M, Salway T, Ahn B, Ross LE. Disparities in the prevalence of cigarette smoking among bisexual people: A systematic review, meta-analysis and meta-regression. Tob Control. 2021. Dec;30(e2):e78–86. [DOI] [PubMed] [Google Scholar]
  • 10.Alibudbud R A systematic review of the prevalence and associated factors of mental health conditions among lesbian, bisexual, and other sexual minority women in Southeast Asia. Journal of Lesbian Studies. 2024. Oct 14;1–18. [DOI] [PubMed] [Google Scholar]
  • 11.Caceres BA, Jackman KB, Ferrer L, Cato KD, Hughes TL. A scoping review of sexual minority women’s health in Latin America and the Caribbean. International Journal of Nursing Studies. 2019;94:85–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ancheta AJ, Caceres BA, Jackman KB, Kreuze E, Hughes TL. Sexual identity differences in health behaviors and weight status among urban high school students. Behavioral Medicine. 2021;47(7):259–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Hinds JT, Zahra AG, Ruiz RA, Johnston CA, Sewell KB, Lee JGL. A scoping review of trends in the size of lesbian, gay, and bisexual tobacco use disparities, 1996–2020, United States and Canada. LGBT Health. 2024. May 27;lgbt.2023.0309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Shokoohi M, Kinitz DJ, Pinto D, Andrade-Romo Z, Zeng Z, Abramovich A, et al. Disparities in alcohol use and heavy episodic drinking among bisexual people: A systematic review, meta-analysis, and meta-regression. Drug and Alcohol Dependence. 2022. Jun;235:109433. [DOI] [PubMed] [Google Scholar]
  • 15.Hughes TL, Veldhuis CB, Drabble LA, Wilsnack SC. Research on alcohol and other drug (AOD) use among sexual minority women: A global scoping review. PLoS One. 2020;15(3):e0229869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Meads C, Zeeman L, Sherriff N, Aranda K. Prevalence of alcohol use amongst sexual and gender minority (LGBTQ+) communities in the UK: A systematic scoping review. Alcohol and Alcoholism. 2023. Jul 1;58(4):346–56. [DOI] [PubMed] [Google Scholar]
  • 17.Spivey JD, Lee JGL, Smallwood SW. Tobacco policies and alcohol sponsorship at lesbian, gay, bisexual, and transgender Pride festivals: Time for intervention. Am J Public Health. 2018. Feb;108(2):187–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Lewis K, Cunningham D, Valera P. Marketing strategies used by tobacco companies targeting the queer community. Tob Use Insights. 2024. Feb;17:1179173X241265743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Leonard SI, Castiblanco M, Chang A, Belloir J, Caceres BA, Jackman KB, et al. Sleep health among sexual and gender minority people in the United States: A scoping review. Sleep Medicine. 2025;128:12–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Caceres BA, Hickey KT, Heitkemper EM, Hughes TL. An intersectional approach to examine sleep duration in sexual minority adults in the United States: Findings from the Behavioral Risk Factor Surveillance System. Sleep Health. 2019. Jul;5(6):621–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Li P Is sexual minority status associated with poor sleep quality among adolescents? Analysis of a national cross-sectional survey in Chinese adolescents. BMJ Open [Internet]. 2017;7. Available from: http://bmjopen.bmj.com/content/bmjopen/7/12/e017067.full.pdf [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wu R, Wang W, Li W, Zhao M, Dewaele A, Zhang WH, et al. Sexual orientation and sleep problem among Chinese college students: Mediating roles of interpersonal problems and depressive symptoms. Journal of Affective Disorders. 2021. Dec;295:569–77. [DOI] [PubMed] [Google Scholar]
  • 23.Peterson KT, Wilson OWA, Herrick SSC, Frederick GM, Fedewa MV, Sullivan K, et al. A scoping review of physical activity interventions among sexual minority adults: A call to action for future research. J Phys Act Health. 2024. Dec 1;21(12):1286–95. [DOI] [PubMed] [Google Scholar]
  • 24.Herrick SSC, Duncan LR. A systematic scoping review of engagement in physical activity among LGBTQ+ adults. Journal of Physical Activity & Health. 2018. Mar;15(3):226–32. [DOI] [PubMed] [Google Scholar]
  • 25.Caceres BA, Bynon M, Doan D, Makarem N, McClain AC, VanKim N. Diet, food insecurity, and CVD risk in sexual and gender minority adults. Curr Atheroscler Rep. 2022. Feb 2;24(1):41–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ferrero EM, Yunker AG, Cuffe S, Gautam S, Mendoza K, Bhupathiraju SN, et al. Nutrition and health in the lesbian, gay, bisexual, transgender, queer/questioning community: A narrative review. Advances in Nutrition. 2023. Nov 1;14(6):1297–306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Prestermon C, Grummon AH, Rummo PE, Taillie Smith L. Differences in dietary quality by sexual orientation and sex in the United States: NHANES 2011–2016. J Acad Nutr Diet. 2021;S2212–2672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Beach LB, Turner B, Felt D, Marro R, Phillips GL. Risk factors for diabetes are higher among non-heterosexual US high-school students. Pediatric Diabetes. 2018. Jul;19(7):1137–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Luk JW, Miller JM, Gilman SE, Lipsky LM, Haynie DL, Simons-Morton BG. Sexual minority status and adolescent eating behaviors, physical activity, and weight status. American Journal of Preventive Medicine. 2018. Dec;55(6):839–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Semlyen J, Curtis TJ, Varney J. Sexual orientation identity in relation to unhealthy body mass index: Individual participant data meta-analysis of 93 429 individuals from 12 UK health surveys. J Public Health (Oxf). 2020. Feb 28;42(1):98–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Caceres BA, Brody A, Luscombe RE, Primiano JE, Marusca P, Sitts EM, et al. A systematic review of cardiovascular disease in sexual minorities. American Journal of Public Health. 2017;107(4):e13–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Caceres BA, Brody AA, Halkitis PN, Dorsen C, Yu G, Chyun DA. Sexual orientation differences in modifiable risk factors for cardiovascular disease and cardiovascular disease diagnoses in men. LGBT Health. 2018. Jul;5(5):284–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.López Castillo H, Blackwell CW, Schrimshaw EW, [Author name withheld on request]. Paradoxical obesity and overweight disparities among sexual minority men: A meta-analysis. Am J Mens Health. 2022. Mar;16(2):155798832210953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Kinsky S, Stall R, Hawk M, Markovic N. Risk of the metabolic syndrome in sexual minority women: Results from the ESTHER study. Journal of Women’s Health. 2016. Aug;25(8):784–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.López Castillo H, Tfirn IC, Hegarty E, Bahamon I, Lescano CM. A meta-analysis of blood pressure disparities among sexual minority men. LGBT Health. 2021. Jan;8(2):91–106. [DOI] [PubMed] [Google Scholar]
  • 36.Caceres BA, Ancheta AJ, Dorsen C, Newlin-Lew K, Edmondson D, Hughes TL. A population-based study of the intersection of sexual identity and race/ethnicity on physiological risk factors for CVD among U.S. adults (ages 18–59). Ethnicity & Health. 2022;27(3):617–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Caceres BA, Sharma Y, Ravindranath R, Ensari I, Rosendale N, Doan D, et al. Differences in ideal cardiovascular health between sexual minority and heterosexual adults. JAMA Cardiol. 2023. Feb 22;8(4):335–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Guo Y, Wheldon CW, Shao H, Pepine CJ, Handberg EM, Shenkman EA, et al. Statin use for atherosclerotic cardiovascular disease prevention among sexual minority adults. Journal of the American Heart Association. 2020;9(24):e018233–e018233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Sherman J, Dyar C, McDaniel J, Funderburg NT, Rose KM, Gorr M, et al. Sexual minorities are at elevated risk of cardiovascular disease from a younger age than heterosexuals. J Behav Med. 2022. Jan 16;45(4):571–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Streed CG, Duncan MS, Heier KR, Workman TE, Beach LB, Caceres BA, et al. Prevalent atherosclerotic cardiovascular disease among veterans by sexual orientation. JAHA. 2024. Nov 19;13(22):e036898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Caceres BA, Makarem N, Hickey KT, Hughes TL. Cardiovascular disease disparities in sexual minority adults: An examination of the Behavioral Risk Factor Surveillance System (2014–2016). American Journal of Health Promotion. 2019;33(4):576–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Trinh MH, Agénor M, Austin SB, Jackson CL. Health and healthcare disparities among U.S. women and men at the intersection of sexual orientation and race/ethnicity: A nationally representative cross-sectional study. BMC Public Health. 2017. Dec;17(1):964. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Caceres BA, Turchioe MR, Pho A, Koleck TA, Creber RM, Bakken SB. Sexual identity and racial/ethnic differences in awareness of heart attack and stroke symptoms: Findings from the National Health Interview Survey. American Journal of Health Promotion. 2021;35(1):57–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Xu Y, Rahman Q, Montgomery S. Same-sex partnership and cardiovascular disease in men: The role of risk factors in adolescence. LGBT Health. 2022. Jan 1;9(1):18–26. [DOI] [PubMed] [Google Scholar]
  • 45.Streed CG, Beach LB, Caceres BA, Dowshen NL, Moreau KL, Mukherjee M, et al. Assessing and addressing cardiovascular health in people who are transgender and gender diverse: A scientific statement from the American Heart Association. Circulation. 2021;144(6):e136–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Healthy People 2030. Social Determinants of Health - Healthy People 2030. 2020. [cited 2022 Feb 11]. Social determinants of health. Available from: https://health.gov/healthypeople/objectives-and-data/social-determinants-health [Google Scholar]
  • 47.Brooks VR. Minority stress and lesbian women. Lanham, MD: Lexington Brooks; 1981. [Google Scholar]
  • 48.Meyer IH. Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: Conceptual issues and research evidence. Psychol Bull. 2003;129(5):674–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.McLeroy KR, Bibeau D, Steckler A, Glanz K. An ecological perspective on health promotion programs. Health Educ Q. 1988;15(4):351–77. [DOI] [PubMed] [Google Scholar]
  • 50.Hatzenbuehler ML, Link BG. Introduction to the special issue on structural stigma and health. Social Science & Medicine. 2014. Feb;103:1–6. [DOI] [PubMed] [Google Scholar]
  • 51.Mendos LR, Botha K, Carrano Lelis R, López de la Peña E, Savelev I, Tan D. State-sponsored homophobia: Global legislation overview update. Geneva, Switzerland: ILGA World; 2020. [Google Scholar]
  • 52.Himeda S Attacks on Gay Rights Push Russia’s LGBT Community Into the Shadows. The Wall Street Journal [Internet]. 2024; Available from: https://www.wsj.com/world/russia/attacks-on-gay-rights-push-russias-lgbtq-community-into-the-shadows-3b5e417e
  • 53.Birnbaum M. Trump, Orban, Erdogan and a chill for LGBTQ+ rights around the world. The Washington Post [Internet]. 2025. [cited 2025 Jun 27]; Available from: https://www.washingtonpost.com/world/2025/03/22/trump-orban-erdogan-lgbtq-democracy/
  • 54.Lloyd-Jones DM, Allen NB, Anderson CAM, Black T, Brewer LC, Foraker RE, et al. Life’s Essential 8: Updating and enhancing the American Heart Association’s construct of cardiovascular health: A presidential advisory from the American Heart Association. Circulation. 2022;146(5):e18–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Ding C, O’Neill D, Bell S, Stamatakis E, Britton A. Association of alcohol consumption with morbidity and mortality in patients with cardiovascular disease: Original data and meta-analysis of 48,423 men and women. BMC Med. 2021. Dec;19(1):167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Dinh VT, Hosalli R, Mullachery PH, Aggarwal B, German CA, Makarem N. Enhancing the cardiovascular health aonstruct With a psychological health metric for predicting mortality risk. JACC: Advances. 2024. Aug;3(8):101112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Wittgens C, Fischer MM, Buspavanich P, Theobald S, Schweizer K, Trautmann S. Mental health in people with minority sexual orientations: A meta‐analysis of population‐based studies. Acta Psychiatr Scand. 2022. Apr;145(4):357–72. [DOI] [PubMed] [Google Scholar]
  • 58.O’Shea J, Jenkins R, Nicholls D, Downs J, Hudson LD. Prevalence, severity and risk factors for mental disorders among sexual and gender minority young people: A systematic review of systematic reviews and meta-analyses. Eur Child Adolesc Psychiatry. 2025. Mar;34(3):959–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Zhu X, Cheang I, Fu Y, Chen S, Liang G, Yuan H, et al. Comparative discrimination of Life’s Simple 7, Life’s Essential 8, and Life’s Crucial 9: Evaluating the impact of added complexity on mortality prediction. BMC Med. 2025. May 6;23(1):265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Lewis RJ, Romano KA, Ehlke SJ, Lau-Barraco C, Sandoval CM, Glenn DJ, et al. Minority stress and alcohol use in sexual minority women’s daily lives. Experimental and Clinical Psychopharmacology. 2021. Oct;29(5):501–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Fitzpatrick S, Dworkin ER, Zimmerman L, Javorka M, Kaysen D. Stressors and drinking in sexual minority women: The mediating role of emotion dysregulation. Psychology of Sexual Orientation and Gender Diversity. 2020. Mar;7(1):46–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Dyar C, Sarno EL, Newcomb ME, Whitton SW. Longitudinal associations between minority stress, internalizing symptoms, and substance use among sexual and gender minority individuals assigned female at birth. Journal of Consulting and Clinical Psychology. 2020. May;88(5):389–401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Zollweg SS, Belloir JA, Drabble LA, Everett B, Taylor JY, Hughes TL. Structural stigma and alcohol use among sexual and gender minority adults: A systematic review . Drug Alcohol Depend Rep. 2023. Sep;8:100185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Hatzenbuehler ML, Lattanner MR, McKetta S, Pachankis JE. Structural stigma and LGBTQ+ health: A narrative review of quantitative studies. Lancet Public Health. 2024. Feb;9(2):e109–27. [DOI] [PubMed] [Google Scholar]
  • 65.Li M, Chau K, Calabresi K, Wang Y, Wang J, Fritz J, et al. The effect of minority stress processes on smoking for lesbian, gay, bisexual, transgender, and queer individuals: A systematic review. LGBT Health. 2024;11(8):583–605. [DOI] [PubMed] [Google Scholar]
  • 66.Mattingly DT, Titus AR, Hirschtick JL, Fleischer NL. Sexual orientation discrimination and exclusive, dual, and polytobacco use among sexual minority adults in the United States. Int J Environ Res Public Health. 2022. May 23;19(10):6305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Gamarel KE, Watson RJ, Mouzoon R, Wheldon CW, Fish JN, Fleischer NL. Family rejection and cigarette smoking among sexual and gender minority adolescents in the USA. International Journal of Behavioral Medicine. 2020. Apr;27(2):179–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Manges ME, Jaeger JA, Doxbeck CR. Examining substance use and suicide risk among sexual minority and heterosexual youth. substance use & misuse. 2025. Apr 9;60(8):1099–108. [DOI] [PubMed] [Google Scholar]
  • 69.Hong C, Stephenson R, Santos GM, Garner A, Howell S, Holloway I. Intimate partner violence victimization during the COVID-19 pandemic among a global online sample of sexual minority men. J Fam Viol. 2023. Nov;38(8):1535–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Rusow JA, Srivastava A, Bray BC, Goldbach JT, Kipke MD. Intimate partner violence types are differentially associated with substance use among young, urban, sexual minority men of color. Dey A, editor. PLoS One. 2024. Sep 6;19(9):e0309958. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Lee DN, Stevens EM, Patterson JG, Wedel AV, Wagener TL, Keller-Hamilton B. Associations of perceived stress and social support on health behavior changes in sexual minoritized women during the COVID-19 pandemic. Women’s Health Reports. 2023. Apr 1;4(1):182–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Azagba S, Ebling T, Shan L. A double disparity: Rural sexual minorities and tobacco use among U.S. adults. Addictive Behaviors. 2023. Feb;137:107527. [DOI] [PubMed] [Google Scholar]
  • 73.Poole R, Carver H, Anagnostou D, Edwards A, Moore G, Smith P, et al. Tobacco use, smoking identities and pathways into and out of smoking among young adults: A meta-ethnography. Subst Abuse Treat Prev Policy [Internet]. 2022. Mar 28 [cited 2025 Jul 10];17(1). Available from: https://substanceabusepolicy.biomedcentral.com/articles/10.1186/s13011-022-00451-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Martin-Storey A, Prickett KC, Crosnoe R. Disparities in sleep duration and restedness among same- and different-sex couples: Findings from the American Time Use Survey. Sleep. 2018. Aug 1;41(8):zsy090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Belloir JA, Ensari I, Jackman K, Shechter A, Bhargava A, Bockting WO, et al. Day-to-day associations of intersectional minority stressors with sleep health in sexual and gender minority people of color. Health Psychology. 2024. Apr 11;43(8):591–602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Chan KKS, Fung WTW. Differential impact of experienced and anticipated discrimination on sleep and health among sexual minorities. Arch Sex Behav. 2021. Oct;50(7):3053–63. [DOI] [PubMed] [Google Scholar]
  • 77.Gibbs JJ, Fusco RA. Minority stress and sleep: How do stress perception and anxiety symptoms act as mediators for sexual minority men? Sleep Health. 2023. Apr;9(2):136–43. [DOI] [PubMed] [Google Scholar]
  • 78.Duncan DT, Hyun Park S, Al-Ajlouni YA, Hale L, Jean-Louis G, Goedel WC, et al. Association of financial hardship with poor sleep health outcomes among men who have sex with men. SSM - Population Health. 2017. Dec;3:594–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Huber BD, Kim B, Chaix B, Regan SD, Duncan DT. Objective and subjective neighborhood crime associated with poor sleep among young sexual minority men: A GPS study. J Urban Health. 2022. Dec;99(6):1115–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Duncan DT, Park SH, Goedel WC, Kreski NT, Morganstein JG, Hambrick HR, et al. Perceived neighborhood safety is associated with poor sleep health among gay, bisexual, and other men who have sex with men in Paris, France . Journal of Urban Health. 2017;94(3):399–407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Regan H, Jama A, Mantzios M, Keyte R, Egan H. Exploring the experiences of gay men with regards to eating, exercise, and mindfulness-based concepts. Am J Mens Health. 2021. May;15(3):15579883211016341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Yelland C, Tiggemann M. Muscularity and the gay ideal: Body dissatisfaction and disordered eating in homosexual men. Eat Behav. 2003. Aug;4(2):107–16. [DOI] [PubMed] [Google Scholar]
  • 83.Dillon P, Copeland J, Peters R. Exploring the relationship between male homo/bi-sexuality, body image and steroid use. Culture, Health & Sexuality. 1999. Jan;1(4):317–27. [Google Scholar]
  • 84.Garbers S, McDonnell C, Fogel SC, Eliason M, Ingraham N, McElroy JA, et al. Aging, weight, and health among adult lesbian and bisexual women: A metasynthesis of the multisite “Healthy Weight Initiative” focus groups. LGBT health. 2015. Jun;2(2):176–87. [DOI] [PubMed] [Google Scholar]
  • 85.Rollè L, Cazzini ,Erika, Santoniccolo ,Fabrizio, and Trombetta T. Homonegativity and sport: A systematic review of the literature. Journal of Gay & Lesbian Social Services. 2022. Jan 2;34(1):86–111. [Google Scholar]
  • 86.Cao Z, Cini E, Pellegrini D, Fragkos KC. The association between sexual orientation and eating disorders‐related eating behaviours in adolescents: A systematic review and meta‐analysis. Euro Eating Disorders Rev. 2023. Jan;31(1):46–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Parker LL, Harriger JA. Eating disorders and disordered eating behaviors in the LGBT population: A review of the literature. J Eat Disord. 2020. Dec;8(1):51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Ancheta AJ, Caceres BA, Zollweg SS, Heron KE, Veldhuis CB, VanKim NA, et al. Examining the associations of sexual minority stressors and past-year depression with overeating and binge eating in a diverse community sample of sexual minority women. Eating Behaviors. 2021. Dec;43:101547. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Mason TB, Lewis RJ. Minority stress and binge eating among lesbian and bisexual women. Journal of Homosexuality. 2015;62(7):971–92. [DOI] [PubMed] [Google Scholar]
  • 90.Shi Y, Davies A, Allman-Farinelli M. The association between food insecurity and dietary outcomes in university students: A systematic review. Journal of the Academy of Nutrition and Dietetics. 2021. Dec;121(12):2475–2500.e1. [DOI] [PubMed] [Google Scholar]
  • 91.Nguyen G, Bell Z, Andreae G, Scott S, Sermin‐Reed L, Lake AA, et al. Food insecurity during pregnancy in high‐income countries, and maternal weight and diet: A systematic review and meta‐analysis. Obesity Reviews. 2024. Jul;25(7):e13753. [DOI] [PubMed] [Google Scholar]
  • 92.Sun Y, Liu B, Rong S, Du Y, Xu G, Snetselaar LG, et al. Food insecurity is associated with cardiovascular and all‐cause mortality among adults in the United States. JAHA. 2020. Oct 6;9(19):e014629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Beltrán S, Pharel M, Montgomery CT, López-Hinojosa IJ, Arenas DJ, DeLisser HM. Food insecurity and hypertension: A systematic review and meta-analysis. PLoS One. 2020. Nov 17;15(11):e0241628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Patterson JG, Russomanno J, Jabson Tree JM. Sexual orientation disparities in food insecurity and food assistance use in U.S. adult women: National Health and Nutrition Examination Survey, 2005–2014. BMC Public Health. 2020. Dec;20(1):1155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Roberts SJ, Stuart-Shor EM, Oppenheimer RA. Lesbians’ attitudes and beliefs regarding overweight and weight reduction. Journal of clinical nursing. 2010. Jul;19(13–14):1986–94. [DOI] [PubMed] [Google Scholar]
  • 96.Katz-Wise SL, Jun HJ, Corliss HL, Jackson B, Haines J, Austin SB. Child abuse as a predictor of gendered sexual orientation disparities in body mass index trajectories among U.S. youth from the Growing Up Today Study. The Journal of Adolescent Health. 2014. Jun;54(6):730–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Caceres BA, Wardecker BM, Anderson J, Hughes TL. Revictimization is associated with higher cardiometabolic risk in sexual minority women. Women’s Health Issues. 2021;31(4):341–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Caceres BA, Veldhuis CB, Hickey KT, Hughes TL. Lifetime trauma and cardiometabolic risk in sexual minority women. Journal of Women’s Health. 2019. Sep;28(9):1200–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Mason TB, Lewis RJ. Minority stress, depression, relationship quality, and alcohol use: Associations with overweight and obesity among partnered young adult lesbians. LGBT Health. 2015;2(4):333–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Mason TB. Binge eating and overweight and obesity among young adult lesbians. LGBT health. 2016;3(6):472–6. [DOI] [PubMed] [Google Scholar]
  • 101.VanKim NA, Eisenberg ME, Erickson DJ, Lust K, Laska MN. College climate and sexual orientation differences in weight status. Prev Sci. 2020. Apr;21(3):422–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Bourne A, Davey C, Hickson F, Reid D, Weatherburn P. Physical health inequalities among gay and bisexual men in England: A large community-based cross-sectional survey. J Public Health. 2016. Apr 13;fdw029. [DOI] [PubMed] [Google Scholar]
  • 103.Warren JC, Smalley KB, Barefoot KN. Differences in psychosocial predictors of obesity among LGBT subgroups. LGBT Health. 2016. Aug;3(4):283–91. [DOI] [PubMed] [Google Scholar]
  • 104.Huang YT, Liang Z, Emery C. Sexual Minority stress, adverse childhood experiences, and obesity among gay men in Taiwan: Findings from a panel study. LGBT Health. 2022. Mar 7;lgbt.2021.0110. [DOI] [PubMed] [Google Scholar]
  • 105.Laska MN, Van Kim NA, Erickson DJ, Lust K, Eisenberg ME, Rosser BRSS, et al. Disparities in weight and weight behaviors by sexual orientation in college students. American Journal of Public Health. 2015;105(1):111–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Sue DW, Capodilupo CM, Torino GC, Bucceri JM, Holder AMB, Nadal KL, et al. Racial microaggressions in everyday life: Implications for clinical practice. American Psychologist. 2007. May;62(4):271–86. [DOI] [PubMed] [Google Scholar]
  • 107.Devlin EA, Newcomb ME, Whitton S. Demographic and minority stress risk factors for obesity among sexual minority youth assigned female at birth. LGBT Health. 2024. Mar 1;11(2):103–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Molina Y, Lehavot K, Beadnell B, Simoni J. Racial disparities in health behaviors and conditions among lesbian and bisexual women: The role of internalized stigma. LGBT Health. 2014;1(2):131–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Caceres BA, Sharma Y, Levine A, Wall MM, Hughes TL. Investigating the associations of sexual minority stressors and incident hypertension in a community sample of sexual minority adults. Annals of Behavioral Medicine. 2023. Jun 12;57(12):1004–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Everett B, Mollborn S. Differences in hypertension by sexual orientation among U.S. young adults . Journal of Community Health. 2013. Jun;38(3):588–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Gillespie A, Song R, Barile JP, Okada L, Brown S, Traub K, et al. Discrimination and hypertension among a diverse sample of racial and sexual minority men living with HIV: Baseline findings of a longitudinal cohort study. J Hum Hypertens. 2024. Jun 26;38(603–610). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Gibb JK, Schrock JM, Smith MS, D’Aquila RT, McDade TW, Mustanski B. Conversion therapy exposure and elevated cardiovascular disease risk. JAMA Netw Open. 2025. May 6;8(5):e258745. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Roberts LM, Christens BD. Pathways to Well‐being among LGBT adults: Sociopolitical involvement, family support, outness, and community connectedness with race/ethnicity as a moderator. American J of Comm Psychol. 2021. Jun;67(3–4):405–18. [DOI] [PubMed] [Google Scholar]
  • 114.Sharma Y, Caceres BA, Taylor JY, Everett B, Makarem N, Hughes TL. Examining the associations of family-related factors with hypertension in sexual minority women. LGBT Health. 2025. Apr 14;lgbt.2024.0170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Everett BG, Agénor M. Sexual orientation-related nondiscrimination laws and maternal hypertension among Black and White U.S. women. Journal of Women’s Health. 2022. Nov 18;32(1):118–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Fredriksen-Goldsen KI, Kim HJ, Shui C, Bryan AEB. Chronic health conditions and key health indicators among lesbian, gay, and bisexual older US adults, 2013–2014. Am J Public Health. 2017. Aug;107(8):1332–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Jackson CL, Agénor M, Johnson DA, Austin SB, Kawachi I. Sexual orientation identity disparities in health behaviors, outcomes, and services use among men and women in the United States: A cross-sectional study. BMC Public Health. 2016;16(807):1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Chan RCH, Lam MS, Mao L, Prankumar SK, Wong H. Intracommunity intersectional discrimination and its impact on psychological distress and smoking behavior among sexual minority men from minority ethnic backgrounds. Social Science & Medicine. 2025. Apr;370:117723. [DOI] [PubMed] [Google Scholar]
  • 119.Barrett BW, Meanley S, Brennan-Ing M, Haberlen SA, Ware D, Detels R, et al. The relationship between posttraumatic stress disorder and alcohol misuse and smoking among aging men who have sex with men: No evidence of exercise or volunteering impact. J Aging Health. 2024. Dec;36(10):700–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Robinson T, Smith N, Obasi E, Reitzel L. Internalized homonegativity is indirectly associated with smoking status through somatic anxiety. Health Behav and Policy Rev [Internet]. 2024. Jun [cited 2025 Jun 27];11(3). Available from: https://www.ingentaconnect.com/contentone/psp/hbpr/2024/00000011/00000003/art00001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Dyar C, Dworkin ER, Pirog S, Kaysen D. Social interaction anxiety and perceived coping efficacy: Mechanisms of the association between minority stress and drinking consequences among sexual minority women. Addictive Behaviors. 2021. Mar;114:106718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Moody RL, Savarese E, Gurung S, Rendina HJ, Parsons JT. The mediating role of psychological distress in the association between harassment and alcohol use among lesbian, gay, and bisexual military personnel. Substance Use & Misuse. 2020. Sep 1;55(12):2055–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Zahran A, Dermody SS, Berlin GW, Palma PA, Skakoon-Sparling S, Noor SW, et al. Problematic alcohol use among gay, bisexual, and other men who have sex with men in Canada: The role of proximal stressors and anxiety. Subst Abuse Treat Prev Policy. 2024. Feb 28;19(1):16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Nagata JM, Lee CM, Yang JH, Kiss O, Ganson KT, Testa A, et al. Sexual orientation disparities in darly adolescent sleep: Findings from the Adolescent Brain Cognitive Development Study. LGBT Health. 2023. Jul 1;10(5):355–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Matthews AK, Cho YI, Hughes TL, Wilsnack SC, Aranda F, Johnson T. The effects of sexual orientation on the relationship between victimization experiences and smoking status among US women. Nicotine & tobacco research. 2018. Feb;20(3):332–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Wu L, Sell RL, Roth AM, Welles SL. Mental health disorders mediate association of sexual minority identity with cardiovascular disease. Preventive medicine. 2018. Jan;108:123–8. [DOI] [PubMed] [Google Scholar]
  • 127.Figueroa W, Sridhar S, Jankowski E, Ennis A, Trinh A, Seiber E, et al. Examining pathways between structural stigma and tobacco use: A comparison among young adults living in the United States by sexual orientation and gender identity. Int J Equity Health. 2025. May 8;24(1):128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Mereish EH, Goldstein CM. Minority stress and cardiovascular disease risk among sexual minorities: Mediating effects of sense of mastery. IntJ Behav Med. 2020. Dec;27(6):726–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Tabaac AR, Solazzo AL, Gordon AR, Austin SB, Guss C, Charlton BM. Sexual orientation-related disparities in healthcare access in three cohorts of U.S. adults. Prev Med. 2020. Mar;132:105999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Villemure SE, Astle K, Phan T, Wilby KJ. A scoping review of the minority stress processes experienced by sexual and gender minority individuals in pharmacy settings: Implications for health care avoidance. Journal of the American Pharmacists Association. 2023. Jan;63(1):32–38.e1. [DOI] [PubMed] [Google Scholar]
  • 131.Das RK, Gonzales G. Self-reported behaviors regarding medications to save money among sexual minority adults in the US, 2015–2018. JAMA. 2021. Dec 28;326(24):2526. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Choo S, Lee H, Yi H, Kim SS. Expectation of rejection and its association with health care avoidance and delay among 2175 Korean lesbian, gay, and bisexual adults: A nationwide cross-sectional survey. LGBT Health. 2022. Jun 1;9(4):282–6. [DOI] [PubMed] [Google Scholar]
  • 133.Damery S, Sekoni AO, Retzer A, Okafor I, Manga-Atangana B, Posaner R, et al. Impact of education and training on LGBT-specific health issues for healthcare students and professionals: A systematic review of comparative studies. BMJ Open. 2025. Jan;15(1):e090005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.McKay T, Tran NM, Barbee H, Min JK. Association of affirming care with chronic disease and preventive care outcomes among lesbian, gay, bisexual, transgender, and queer older adults. American Journal of Preventive Medicine. 2023. Mar;64(3):305–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Yu H, Flores DD, Bonett S, Bauermeister JA. LGBTQ + cultural competency training for health professionals: A systematic review. BMC Med Educ. 2023. Aug 9;23(1):558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Pratt-Chapman ML. Implementation of sexual and gender minority health curricula in health care professional schools: A qualitative study. BMC Med Educ. 2020. Dec;20(1):138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Streed CG, Michals A, Quinn E, Davis JA, Blume K, Dalke KB, et al. Sexual and gender minority content in undergraduate medical education in the United States and Canada: Current state and changes since 2011. BMC Med Educ 2024. May 1;24(1):482. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Goldstein E, Chokshi B, Melendez-Torres G, Rios A, Jelley M, Lewis-O’Connor A. Effectiveness of trauma-informed care implementation in health care settings: Systematic review of reviews and realist synthesis. TPJ. 2024. Mar 15;28(1):135–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Lewis-O’Connor A, Warren A, Lee JV, Levy-Carrick N, Grossman S, Chadwick M, et al. The state of the science on trauma inquiry. Womens Health (Lond Engl). 2019. Jan;15:174550651986123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Rosa WE, Weiss Goitiandia S, Braybrook D, Metheny N, Roberts KE, McDarby M, et al. LGBTQIA+ inclusion in the global health policy agenda: A critical discourse analysis of the Lancet Commission report archive. Madabushi J, editor. PLoS One. 2024. Oct 4;19(10):e0311506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.McQuoid J, Durazo A, Mooney E, Heffner JL, Tan ASL, Kong AY, et al. Tobacco cessation and prevention interventions for sexual and/or gender minority-identified people and the theories that underpin them: A scoping review. Nicotine and Tobacco Research. 2023. May 22;25(6):1065–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Kidd JD, Paschen-Wolff MM, Mericle AA, Caceres BA, Drabble LA, Hughes TL. A scoping review of alcohol, tobacco, and other drug use treatment interventions for sexual and gender minority populations. Journal of Substance Abuse Treatment. 2022. Feb;133:108539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.McElroy JA, Jordan JN. Sufficiently and insufficiently active lesbian, bisexual, and questioning female college students: Sociodemographic factors among two age cohorts. Women’s Health Issues. 2014;24(2):e243–9. [DOI] [PubMed] [Google Scholar]
  • 144.Layland EK, Carter JA, Perry NS, Cienfuegos-Szalay J, Nelson KM, Bonner CP, et al. A systematic review of stigma in sexual and gender minority health interventions. Translational Behavioral Medicine. 2020. Oct 12;10(5):1200–10. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES