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Objective: This report examines associations between everyday discrimination, microaggressions, and CRP to gain insight on potential mechanisms that may underlie increased CVD risk among sexual minority male young adults.Methods: The sample consisted of 60 participants taken from the P18 cohort between the ages of 24 and 28 years. Multinomial logistic regression models were used to examine the association between perceived everyday discrimination and LGBQ microaggressions with C-reactive protein cardiovascular risk categories of low-, average-, and high-risk, as defined by the American Heart Association and Centers for Disease Control. Adjustments were made for BMI.Results: Individuals who experienced more everyday discrimination had a higher risk of being classified in the high-risk CRP group compared to the low-risk CRP group (RRR = 3.35, p = 0.02). Interpersonal LGBQ microaggressions were not associated with CRP risk category.Conclusions: Everyday discrimination, but not specific microaggression based on sexual orientation, were associated with elevated levels of CRP among young sexual minority men (YSMM). Thus, to implement culturally and age-appropriate interventions, further researcher is needed to critically examine the specific types of discrimination and the resultant impact on YSMM’s health.

The use of broad consent to store human biospecimens to be used in future research studies has increased over the years. However, it is currently unknown how young sexual minority men (YSMM) perceive broad consent in these specific types of studies. Therefore, in this study we aimed to determine the extent to which YSMM are comfortable with providing broad consent concerning their identifiable biological specimens to a variety of entities, including external researchers and pharmaceutical companies and to examine the relationship between mistrust based on racial/ethnic identity or sexual orientation and attitudes toward broad consent. YSMM (N = 239) ages 24–27 years were recruited from a prospective cohort study in New York City in 2018 to complete a survey assessing attitudes about the use of broad consent concerning biospecimens for secondary research. We found that YSMM were most willing to provide broad consent to the researcher from the study they were enrolled in (85.3%), other researchers within the same university (82.4%), and researchers at other universities (74.5%). Participants were least willing to provide broad consent to government organizations (64.4%) and pharmaceutical companies (53.8%). Further, we found that medical mistrust based on racial/ethnic identity or sexual orientation was associated with attitudes toward the use of broad consent. Research institutions should consider modifying consent procedures around the use of broad consent in order to maximize recruitment and retention, especially among minority populations. Supplementary Information The online version contains supplementary material available at 10.1007/s10508-021-01964-3.

BACKGROUND Young sexual and gender minorities (SGMs) of color may face unique experiences of discrimination based on their intersectional positions (eg, discrimination based on both racial or ethnic identity and sexual identity). Emerging evidence suggests that mindfulness practices may reduce stress from discrimination and improve overall well-being among young SGM. Moreover, the omnipresence of smartphone access among racial or ethnic and sexual minority communities provides a method through which to administer mindfulness-based interventions among young SGMs of color. OBJECTIVE This paper outlines the protocol of the Optimizing a Daily Mindfulness Intervention to Reduce Stress from Discrimination among Young Sexual and Gender Minorities of Color (REDUCE) study, a pilot optimization trial of a smartphone-based mindfulness intervention that was developed in conjunction with the Healthy Minds Program (HMP) with the aim of reducing stress from discrimination among young SGMs. METHODS In total, 80 young (ages 18-29 years) SGMs of color will be enrolled in the study. The HMP is a self-guided meditation practice, and participants will be randomized to either a control condition or an intervention that uses a neuroscience-based approach to mindfulness. We will use the multiphase optimization strategy to assess which combination of mindfulness interventions is the most effective at reducing stress from discrimination among young SGMs of color. A combination of mindfulness-based meditation intervention components will be examined, comprising mindfulness-based practices of awareness, connection, and purpose. Awareness refers to the practice of self-awareness, which reduces the mind’s ability to be distracted and instead be present in the moment. Connection refers to the practice of connection with oneself and others and emphasizes on empathy and compassion with oneself and others. Purpose encourages goal-making in accordance with one’s values and management of behavior in accordance with these goals. In addition, we will assess the feasibility and acceptability of the HMP application among young SGMs of color. RESULTS The REDUCE study was approved by the Institutional Review Board of New York University, and recruitment and enrollment began in the winter of 2021. We expect to complete enrollment by the summer of 2022. The results will be disseminated via social media, journal articles, abstracts, or presentations, as well as to participants, who will be given the opportunity to provide feedback to the researchers. CONCLUSIONS This optimization trial is designed to test the efficacy, feasibility, and acceptability of implementing an application-based, mindfulness-based intervention to reduce stress from discrimination and improve well-being among young SGMs of color. Evidence from this study will assist in the creation of a sustainable, culturally relevant mobile app–based mindfulness intervention to reduce stress from discrimination among young SGMs of color. CLINICALTRIAL Clinicaltrials.gov NCT05131360; https://clinicaltrials.gov/ct2/show/NCT05131360 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/35593

BACKGROUND Firefighters are often exposed to occupational stressors that can result in psychological distress (ie, anxiety and depression) and burnout. These occupational stressors have only intensified with the onset of the COVID-19 pandemic and will likely persist in the postpandemic world. OBJECTIVE To address occupational stressors confronting firefighters, we pilot tested a novel, cost-effective, smartphone app–based meditation intervention created by Healthy Minds Innovations that focused on mindfulness (awareness) training along with practices designed to cultivate positive relationships (connection), insight into the nature of the self (insight), and a sense of purpose in the context of challenge (purpose) with a sample of professional firefighters from a large metropolitan area in southwestern United States. METHODS A total of 35 participants were recruited from a closed online group listserv and completed the self-guided 10-unit meditation app over the course of 10 days, at 1 unit per day. We assessed anxiety symptoms, depression symptoms, burnout, and negative affect as well as saliva diurnal cortisol rhythm, an objective indicator of stress-related biology, before and after use of the meditation app. RESULTS This study demonstrated the meditation app was both feasible and acceptable for use by the majority of firefighters. We also found significant reductions in firefighters’ anxiety (P=.01), burnout (P=.05), and negative affect (P=.04), as well as changes in cortisol diurnal rhythm, such as waking cortisol (P=.02), from before to after use of the meditation app. CONCLUSIONS Our study findings call for future research to demonstrate the efficacy of this meditation app to reduce psychological distress and burnout in firefighters.

This report examines associations between everyday discrimination, microaggressions, and CRP to gain insight on potential mechanisms that may underlie increased CVD risk among sexual minority male young adults. The sample consisted of 60 participants taken from the P18 cohort between the ages of 24 and 28 years. Multinomial logistic regression models were used to examine the association between perceived everyday discrimination and LGBQ microaggressions with C-reactive protein cardiovascular risk categories of low-, average-, and high-risk, as defined by the American Heart Association and Centers for Disease Control. Adjustments were made for BMI. Individuals who experienced more everyday discrimination had a higher risk of being classified in the high-risk CRP group compared to the low-risk CRP group (RRR = 3.35, p = 0.02). Interpersonal LGBQ microaggressions were not associated with CRP risk category. Everyday discrimination, but not specific microaggressions based on sexual orientation, were associated with elevated levels of CRP among young sexual minority men (YSMM). Thus, to implement culturally and age-appropriate interventions, further researcher is needed to critically examine the specific types of discrimination and the resultant impact on YSMM's health.

Adult attachment, or the ways in which individuals develop and maintain trusting and loving relationships with peers and romantic partners, has been demonstrated to influence hypothalamic-pituitary-adrenal (HPA) axis functioning among young sexual minority men (YSMM). Theory and preliminary evidence suggest that differences in the lived experiences of White and Black sexual minority young adults may influence the way in which adult attachment influences the HPA-axis functioning. We sought to further this field of inquiry by examining if race moderates the association between adult attachment insecurity (i.e., avoidance and anxiety) and HPA-axis functioning among YSMM. Sixty-three YSMM participated in a 5-day daily diary study in which they completed a baseline survey to assess adult attachment orientation and provided saliva samples 4 times per day over a 5-day period in order to measure cortisol across the day. Three-level hierarchical linear modeling was used to examine the association between adult attachment, the cortisol awakening response (CAR), diurnal cortisol, and the moderating effect of race. We found no main effect of attachment anxiety or avoidance on HPA-axis functioning. However, we found that race moderated the association between adult attachment avoidance and the CAR such that Black YSMM with higher attachment avoidance had a lower CAR as compared to White YSMM. Results suggest that there may be key differences between White and Black YSMM men's lived experiences that should be explored in future research.

Retention of emerging adult sexual minority men (SMM) in longitudinal studies including biospecimens collection is often poor. To date, very few methodological examinations exist pertaining to strategies that may increase retention among potentially difficult-to-reach populations, including emerging adult SMM. This chapter describes a multifaceted financial incentive (FI) structure utilized in two daily diary study designs. First, the chapter discusses why typical FI structures may be insufficient for retaining emerging adult SMM in intensive longitudinal study designs due to factors such as increased participant burden. Second, it details two FI approaches utilized in two 5-day daily diary studies examining stress physiology and health behaviors among emerging adult SMM in the Midwest and the Northeast. Last, it discusses how the differing FI structures impacted participation and retention across the two studies. The chapter concludes by providing future directions to researchers who seek to employ intensive longitudinal study designs in emerging adult populations.

Objectives: Attachment insecurity may be more pronounced among young gay and bisexual men (YGBM). Further, attachment insecurity is associated with dysregulated patterns of emotion regulati...

Background Firefighters are often exposed to occupational stressors that can result in psychological distress (ie, anxiety and depression) and burnout. These occupational stressors have only intensified with the onset of the COVID-19 pandemic and will likely persist in the postpandemic world. Objective To address occupational stressors confronting firefighters, we pilot tested a novel, cost-effective, smartphone app–based meditation intervention created by Healthy Minds Innovations that focused on mindfulness (awareness) training along with practices designed to cultivate positive relationships (connection), insight into the nature of the self (insight), and a sense of purpose in the context of challenge (purpose) with a sample of professional firefighters from a large metropolitan area in southwestern United States. Methods A total of 35 participants were recruited from a closed online group listserv and completed the self-guided 10-unit meditation app over the course of 10 days, at 1 unit per day. We assessed anxiety symptoms, depression symptoms, burnout, and negative affect as well as saliva diurnal cortisol rhythm, an objective indicator of stress-related biology, before and after use of the meditation app. Results This study demonstrated the meditation app was both feasible and acceptable for use by the majority of firefighters. We also found significant reductions in firefighters’ anxiety (P=.01), burnout (P=.05), and negative affect (P=.04), as well as changes in cortisol diurnal rhythm, such as waking cortisol (P=.02), from before to after use of the meditation app. Conclusions Our study findings call for future research to demonstrate the efficacy of this meditation app to reduce psychological distress and burnout in firefighters.

Introduction Cardiovascular disease is the leading cause of death worldwide, and cardiovascular disease burden is increasing in low-resource settings and for lower socioeconomic groups. Machine learning algorithms are being developed rapidly and incorporated into clinical practice for cardiovascular disease prediction and treatment decisions. Significant opportunities for reducing death and disability from cardiovascular disease worldwide lie with accounting for the social determinants of cardiovascular outcomes. This study reviews how social determinants of health are being included in machine learning algorithms to inform best practices for the development of algorithms that account for social determinants. Methods A systematic review using 5 databases was conducted in 2020. English language articles from any location published from inception to April 10, 2020, which reported on the use of machine learning for cardiovascular disease prediction that incorporated social determinants of health, were included. Results Most studies that compared machine learning algorithms and regression showed increased performance of machine learning, and most studies that compared performance with or without social determinants of health showed increased performance with them. The most frequently included social determinants of health variables were gender, race/ethnicity, marital status, occupation, and income. Studies were largely from North America, Europe, and China, limiting the diversity of the included populations and variance in social determinants of health. Discussion Given their flexibility, machine learning approaches may provide an opportunity to incorporate the complex nature of social determinants of health. The limited variety of sources and data in the reviewed studies emphasize that there is an opportunity to include more social determinants of health variables, especially environmental ones, that are known to impact cardiovascular disease risk and that recording such data in electronic databases will enable their use.

SummaryBackgroundCardiovascular disease (CVD) is the number one cause of death worldwide, and CVD burden is increasing in low-resource settings and for lower socioeconomic groups worldwide. Machine learning (ML) algorithms are rapidly being developed and incorporated into clinical practice for CVD prediction and treatment decisions. Significant opportunities for reducing death and disability from cardiovascular disease worldwide lie with addressing the social determinants of cardiovascular outcomes. We sought to review how social determinants of health (SDoH) and variables along their causal pathway are being included in ML algorithms in order to develop best practices for development of future machine learning algorithms that include social determinants.MethodsWe conducted a systematic review using five databases (PubMed, Embase, Web of Science, IEEE Xplore and ACM Digital Library). We identified English language articles published from inception to April 10, 2020, which reported on the use of machine learning for cardiovascular disease prediction, that incorporated SDoH and related variables. We included studies that used data from any source or study type. Studies were excluded if they did not include the use of any machine learning algorithm, were developed for non-humans, the outcomes were bio-markers, mediators, surgery or medication of CVD, rehabilitation or mental health outcomes after CVD or cost-effective analysis of CVD, the manuscript was non-English, or was a review or meta-analysis. We also excluded articles presented at conferences as abstracts and the full texts were not obtainable. The study was registered with PROSPERO (CRD42020175466).FindingsOf 2870 articles identified, 96 were eligible for inclusion. Most studies that compared ML and regression showed increased performance of ML, and most studies that compared performance with or without SDoH/related variables showed increased performance with them. The most frequently included SDoH variables were race/ethnicity, income, education and marital status. Studies were largely from North America, Europe and China, limiting the diversity of included populations and variance in social determinants.InterpretationFindings show that machine learning models, as well as SDoH and related variables, improve CVD prediction model performance. The limited variety of sources and data in studies emphasize that there is opportunity to include more SDoH variables, especially environmental ones, that are known CVD risk factors in machine learning CVD prediction models. Given their flexibility, ML may provide opportunity to incorporate and model the complex nature of social determinants. Such data should be recorded in electronic databases to enable their use.FundingWe acknowledge funding from Blue Cross Blue Shield of Louisiana. The funder had no role in the decision to publish.

Background Young sexual and gender minorities (SGMs) of color may face unique experiences of discrimination based on their intersectional positions (eg, discrimination based on both racial or ethnic identity and sexual identity). Emerging evidence suggests that mindfulness practices may reduce stress from discrimination and improve overall well-being among young SGM. Moreover, the omnipresence of smartphone access among racial or ethnic and sexual minority communities provides a method through which to administer mindfulness-based interventions among young SGMs of color. Objective This paper outlines the protocol of the Optimizing a Daily Mindfulness Intervention to Reduce Stress from Discrimination among Young Sexual and Gender Minorities of Color (REDUCE) study, a pilot optimization trial of a smartphone-based mindfulness intervention that was developed in conjunction with the Healthy Minds Program (HMP) with the aim of reducing stress from discrimination among young SGMs. Methods In total, 80 young (ages 18-29 years) SGMs of color will be enrolled in the study. The HMP is a self-guided meditation practice, and participants will be randomized to either a control condition or an intervention that uses a neuroscience-based approach to mindfulness. We will use the multiphase optimization strategy to assess which combination of mindfulness interventions is the most effective at reducing stress from discrimination among young SGMs of color. A combination of mindfulness-based meditation intervention components will be examined, comprising mindfulness-based practices of awareness, connection, and purpose. Awareness refers to the practice of self-awareness, which reduces the mind’s ability to be distracted and instead be present in the moment. Connection refers to the practice of connection with oneself and others and emphasizes on empathy and compassion with oneself and others. Purpose encourages goal-making in accordance with one’s values and management of behavior in accordance with these goals. In addition, we will assess the feasibility and acceptability of the HMP application among young SGMs of color. Results The REDUCE study was approved by the Institutional Review Board of New York University, and recruitment and enrollment began in the winter of 2021. We expect to complete enrollment by the summer of 2022. The results will be disseminated via social media, journal articles, abstracts, or presentations, as well as to participants, who will be given the opportunity to provide feedback to the researchers. Conclusions This optimization trial is designed to test the efficacy, feasibility, and acceptability of implementing an application-based, mindfulness-based intervention to reduce stress from discrimination and improve well-being among young SGMs of color. Evidence from this study will assist in the creation of a sustainable, culturally relevant mobile app–based mindfulness intervention to reduce stress from discrimination among young SGMs of color. Trial Registration Clinicaltrials.gov NCT05131360; https://clinicaltrials.gov/ct2/show/NCT05131360 International Registered Report Identifier (IRRID) DERR1-10.2196/35593

We conducted a mixed-methods study to identify factors that influence transitions in attachment style between childhood and adulthood among 28 young Black gay and bisexual men (YBGBM) in the United States. We used a phenomenological approach to data integration, with the major component to the results being garnered from the qualitative interviews. We organized our results by four attachment transition groups: stable-secure (secure attachment in childhood and young adulthood), stable-insecure (insecure attachment in childhood and young adulthood), secure-to-insecure (secure in childhood and insecure in adulthood) and insecure-to-secure (insecure in childhood and secure in adulthood). Within each of the typologies, two major themes emerged: (a) social support and (b) religion. Generally, transitions from secure-to-insecure attachment were related to experiences of perceived rejection by a parental figure during adolescence that corresponded with sexual orientation disclosure. Transitions from insecure-to-secure attachment appeared to be related to the absence of an attachment figure early in life, but with the acquisition of an attachment figure during early-to-late adolescence. The findings from our study suggest a need for attachment-based approaches to social support interventions, as well as for an increased understanding of social and cultural factors that impact attachment changes among practitioners who use attachment-based therapy models for YBGBM.

Exposure to violence during adolescence is associated with increased risk behaviors and mental health problems in adulthood. Friendship attachment during adolescence may, however, mitigate the negative effects of exposure to violence on trajectories of depression and anxiety in young adulthood. In this study, we used growth curve modeling to examine associations between exposure to violence and mental health outcomes, followed by multi-group analyses with friendship attachment as the moderator. The sample was drawn from a longitudinal study (12 waves; 1994–2012) of 676 (54% female) urban high school students. We found strong positive associations between exposure to violence during adolescence and later self-reported depressive and anxiety symptoms. Notably, securely attached adolescents reported faster decreases in mental health symptoms as a function of violence relative to their insecurely attached peers as they transitioned into adulthood.

Background Exposure to sexual orientation-related discrimination among sexual minorities may lead to elevated levels of C-reactive protein (CRP) as compared to their heterosexual counterparts. However, little is known about factors that may buffer the association between discrimination and CRP among sexual minorities versus heterosexuals. The current study examined if the association between discrimination, sexual orientation, and CRP differed across levels of social support from one's father/father-figure or mother/mother-figure between sexual minorities and heterosexuals. Methods Data came from Wave IV of the National Longitudinal Study of Adolescent to Adult Health (Add Health). The sample sizes for father support and mother support was 3167 and 3575, respectively. Participants ranged in age from 24 to 33 years. Stratified linear regression models examined if father and mother support moderated the association between discrimination and CRP among sexual minorities and heterosexuals. Results Father support significantly moderated the association between discrimination and CRP among sexual minorities but not heterosexuals. Sexual minorities with higher father support and who experienced discrimination had lower CRP as compared to those with lower father support and who experienced discrimination. Mother support did not moderate the association between discrimination and CRP among either sexual minorities or heterosexuals. Conclusion Father support may mitigate the negative effects of stress from discrimination on CRP among sexual minorities. Future research should further examine the potential differential role that father support may play in reducing cardiovascular risk among sexual minorities versus heterosexuals who experience discrimination.