The biological embedding of social adversity: How adolescent housing insecurity impacts inflammation over time.

BACKGROUND & PURPOSE: Adolescent housing insecurity is a dynamic form of social adversity that impacts child health outcomes worldwide. However, the means by which adolescent housing insecurity may become biologically embedded to influence health outcomes over the life course remain unclear. Therefore, we aimed to utilize life course perspectives and advanced causal inference methods to evaluate the potential for inflammation to contribute to the biological embedding of adolescent housing insecurity. MATERIALS AND METHODS: Using prospective data from the Great Smoky Mountains Study, we investigated the relationship between adolescent housing insecurity and whole-blood spot samples assayed for C-reactive protein (CRP). Adolescent housing insecurity was created based on annual measures of frequent residential moves, reduced standard of living, forced separation from the home, and foster care. Annual measures of CRP ranged from 0.001 mg/L to 13.6 mg/L (median = 0.427 mg/L) and were log10 transformed to account for positively skewed values. We used g-estimation of structural nested mean models to estimate a series of conditional average causal effects of adolescent housing insecurity on CRP levels from ages 11 to 16 years and interpreted the results within life course frameworks of accumulation, recency, and sensitive periods. PRINCIPAL RESULTS: Of the 1,334 participants, 427 [44.3 %] were female. Based on the conditional average causal effect, one exposure to adolescent housing insecurity from ages 11 to 16 years led to a 6.4 % (95 % CI = 0.69 - 12.4) increase in later CRP levels. Exposure at 14 years of age led to a 27.9 % increase in CRP levels at age 15 (95 % CI = 6.5 - 53.5). Recent exposures to adolescent housing insecurity (<3 years) suggested stronger associations with CRP levels than distant exposures (>3 years), but limited statistical power prevented causal conclusions regarding recency effects at the risk of a Type II Error. MAJOR CONCLUSIONS: These findings highlight inflammation-as indicated by increased CRP levels-as one potential mechanism for the biological embedding of adolescent housing insecurity. The results also suggest that adolescent housing insecurity-particularly recent, repeated, and mid-adolescent exposures-may increase the risk of poor health outcomes and should be considered a key intervention target.

Evaluating Methods for Mapping Historical Redlining to Census Tracts for Health Equity Research.

Neighborhood characteristics including housing status can profoundly influence health. Recently, increasing attention has been paid to present-day impacts of "redlining," or historic area classifications that indicated less desirable (redlined) areas subject to decreased investment. Scholarship of redlining and health is emerging; limited guidance exists regarding optimal approaches to measuring historic redlining in studies of present-day health outcomes. We evaluated how different redlining approaches (map alignment methods) influence associations between redlining and health outcomes. We first identified 11 existing redlining map alignment methods and their 37 logical extensions, then merged these 48 map alignment methods with census tract life expectancy data to construct 9696 linear models of each method and life expectancy for all 202 redlined cities. We evaluated each model's statistical significance and R2 values and compared changes between historical and contemporary geographies and populations using Root Mean Squared Error (RMSE). RMSE peaked with a normal distribution at 0.175, indicating persistent difference between historical and contemporary geographies and populations. Continuous methods with low thresholds provided higher neighborhood coverage. Weighting methods had more significant associations, while high threshold methods had higher R2 values. In light of these findings, we recommend continuous methods that consider contemporary population distributions and mapping overlap for studies of redlining and health. We developed an R application {holcmapr} to enable map alignment method comparison and easier method selection.

Structural Racism-Related State Laws and Healthcare Access Among Black, Latine, and White U.S. Adults.

Racialized healthcare inequities in the USA remain glaring, yet root causes are understudied. To address this gap, we created a state-level structural racism legal index (SRLI) using the Structural Racism-Related State Law Database and analyzed its association with racialized inequities in four outcomes (lacking health insurance coverage, lacking a personal doctor, avoiding care due to cost, lacking a routine check-up) from the 2013 Behavioral Risk Factor Surveillance System (N = 454,834). To obtain predicted probabilities by SRLI quartiles (Q1 = less structural racism, Q4 = more structural racism) and racialized group, we fit survey-weighted multilevel logistic models adjusted for individual- and state-level covariates. We found substantial healthcare access inequities across racialized groups within SRLI quartiles and less pronounced, but still meaningful, inequities within racialized groups across SRLI quartiles. For example, the predicted probabilities of lacking health insurance coverage across SRLI quartiles ranged from 13 to 20% among Black adults, 31 to 41% among Latine adults, and 8 to 11% among White adults. Across racialized groups in Q4 states, predicted probabilities ranged from 11% among White adults to 41% among Latine adults. Similar patterns were observed for lacking a personal doctor and avoiding care due to cost. Findings underscore the need to address structural racism in laws and policies to mitigate these inequities.

Lower levels of social support are associated with risk for future suicide attempts in a clinical sample of transgender and gender diverse adults.

PURPOSE: Transgender and gender diverse (TGD) adults are disproportionately affected by suicide. Social support and connection to the broader TGD community may help lower TGD adults' odds of having a suicide attempt (SA). The current study examined whether baseline levels of social support and community connectedness were associated with TGD adult's prospective odds of having a SA over 12 months of follow-up. METHODS: Longitudinal data for the current study came from a patient cohort of TGD adults enrolled in the LEGACY Project. Descriptive statistics and an attrition analysis were used to examine characteristics of the cohort and missingness over time. Logistic generalized estimating equation models were used to examine factors associated with patients' odds of having a past 6-month SA at 6- or 12-month follow-up. RESULTS: During the 12-month follow-up period, a total of 26 patients (3.1%; N = 830) reported having a SA. The 6-month incidence of SAs was approximately 2% at both 6- and 12-months of follow-up (6 months: N = 830; 12 months: N = 495). Baseline factors associated with increased odds of a future SA included gender identity (transfeminine vs. transmasculine: adjusted odds ratio [aOR] = 3.73, 95% confidence interval [CI] = 1.26-11.08; nonbinary vs. transmasculine: aOR = 3.09, 95% CI = 1.03-9.21), having a prior SA (aOR = 6.44, 95% CI = 2.63-15.79), and having moderate vs. high perceived social support (aOR = 4.25, 95% CI = 1.65-10.90). CONCLUSION: Lower levels of social support are associated with risk for future suicide attempts among TGD adults. Findings may inform screening practices for future suicide risk and the development of interventions to improve mental health outcomes for TGD adults.

Sexual orientation and gender identity inequities in cervical cancer screening by race and ethnicity.

BACKGROUND: In the United States, inequities in preventive health behaviors such as cervical cancer screening have been documented. Sexual orientation, gender identity, and race/ethnicity all individually contribute to such disparities. However, little work has investigated their joint impact on screening behavior. METHODS: Using sampling weighted data from the 2016 and 2018 Behavioral Risk Factor Surveillance System, we assessed differences in two metrics via chi-square statistics: 1) lifetime uptake, and 2) up-to-date cervical cancer screening by sexual orientation and gender identity, within and across racial/ethnic classifications. RESULTS: Within all races, individuals who identify as members of sexual and gender minority (SGM) communities reported higher rates of never being screened (except for Black transgender men) than straight or cisgender individuals (p < 0.0001). [*START* Across all races, the Asian/Pacific Islander transgender population (32.4%; weighted n (w.n.) = 1,313) had the lowest proportion of lifetime screening, followed by the Asian/Pacific Islander gay/lesbian (53.0%, w.n. = 21,771), Hispanic transgender (58.7%; w.n. = 24,780), Asian/Pacific Islander bisexual (61.8%, w.n. = 54,524), and Hispanic gay/lesbian (69.6%, w.n. = 125,781) populations. *END*] Straight or cisgender Non-Hispanic White (w.n. = 40,664,476) individuals had the highest proportion of lifetime screening (97.7% and 97.5%, respectively). However, among individuals who had been screened at least once in their lifetime, identifying as SGM was not associated with a decreased proportion of up-to-date screening within or between races. CONCLUSIONS: Due to small sample sizes, especially among Asian/Pacific Islander and Hispanic populations, confidence intervals were wide. Heterogeneity in screening participation by SGM status within and across racial/ethnic groups were observed. IMPACT: These screening disparities reveal the need to disaggregate data to account for intersecting identities and for studies with larger sample sizes to increase estimate reliability.

Objectively regular sleep patterns and mortality in a prospective cohort: The Multi-Ethnic Study of Atherosclerosis.

Irregular sleep and non-optimal sleep duration separately have been shown to be associated with increased disease and mortality risk. We used data from the prospective cohort Multi-Ethnic Study of Atherosclerosis sleep study (2010-2013) to investigate: do aging adults whose sleep is objectively high in regularity in timing and duration, and of sufficient duration tend to have increased survival compared with those whose sleep is lower in regularity and duration, in a diverse US sample? At baseline, sleep was measured by 7-day wrist actigraphy, concurrent with at-home polysomnography and questionnaires. Objective metrics of sleep regularity and duration from actigraphy were used for statistical clustering using sparse k-means clustering. Two sleep patterns were identified: "regular-optimal" (average duration: 7.0 ± 1.0 hr obtained regularly) and "irregular-insufficient" (duration: 5.8 ± 1.4 hr obtained with twice the irregularity). Using proportional hazard models with multivariate adjustment, we estimated all-cause mortality hazard ratios. Among 1759 participants followed for a median of 7.0 years (Q1-Q3, 6.4-7.4 years), 176 deaths were recorded. The "regular-optimal" group had a 39% lower mortality hazard than did the "irregular-insufficient" sleep group (hazard ratio [95% confidence interval]: 0.61 [0.45, 0.83]) after adjusting for socio-demographics, lifestyle, medical comorbidities and sleep disorders. In conclusion, a "regular-optimal" sleep pattern was significantly associated with a lower hazard of all-cause mortality. The regular-optimal phenotype maps behaviourally to regular bed and wake times, suggesting sleep benefits of adherence to recommended healthy sleep practices, with further potential benefits for longevity.

Culturally Tailored Anti-Smoking Messages: A Randomized Trial With U.S. Sexual Minority Young Women.

INTRODUCTION: This study evaluated effects of exposure to culturally tailored anti-smoking ads versus control ads on quitting intentions, cigarette purchase intentions, and tobacco industry perceptions among young adult, cisgender and transgender, sexual minority women (SMW). STUDY DESIGN: An online randomized controlled experiment with 1-month longitudinal follow-up was conducted. SETTING AND PARTICIPANTS: About 2,214 U.S. SMW ages 18-30 were recruited via online survey panels (The PRIDE Study and Prolific), social media ads and posts, and HER dating app ads. Data were collected in 2021-2022. INTERVENTION: Participants were randomly assigned to receive up to 20 tailored ads containing LGBTQ+ branding versus 20 control ads without LGBTQ+ branding over 4 weeks. Both conditions used identical anti-smoking statements and photographs (including several photographs of individuals who self-identified as SMW). MAIN OUTCOME MEASURES: One-month follow-up intention to purchase cigarettes, intention to quit, marketing receptivity, pro-industry attitudes, and pro-industry beliefs were measured. Analyses were conducted in 2022-2023. Linear regression models predicted outcomes at 1-month follow-up with the randomized arm, adjusted for baseline measures of each outcome and stratified by smoking status (those who currently smoked and those who did not smoke). RESULTS: Among those who smoked, follow-up intention to quit increased and intention to purchase cigarettes, marketing receptivity, pro-industry attitudes, and pro-industry beliefs decreased versus baseline in both arms. Follow-up pro-industry beliefs were significantly lower (B=-0.331, 95% CI -0.652, -0.010, p=0.043) in the tailored versus control arm, adjusted for baseline beliefs. Among those who did not smoke, marketing receptivity, pro-industry attitudes, and pro-industry beliefs decreased versus baseline in both arms. Follow-up outcomes did not differ significantly between arms. CONCLUSIONS: These findings can inform future anti-smoking campaign development to reduce cigarette smoking-related disparities among young adult, cisgender and transgender, sexual minority women and serve as the basis for developing similar ads for other LGBTQ+ audiences. TRIAL REGISTRATION: This study was registered in ClinicalTrials.gov (NCT04812795).

An epigenome-wide analysis of DNA methylation, racialized and economic inequities, and air pollution.

Importance: DNA methylation (DNAm) provides a plausible mechanism by which adverse exposures become embodied and contribute to health inequities, due to its role in genome regulation and responsiveness to social and biophysical exposures tied to societal context. However, scant epigenome-wide association studies (EWAS) have included structural and lifecourse measures of exposure, especially in relation to structural discrimination. Objective: Our study tests the hypothesis that DNAm is a mechanism by which racial discrimination, economic adversity, and air pollution become biologically embodied. Design: A series of cross-sectional EWAS, conducted in My Body My Story (MBMS, biological specimens collected 2008-2010, DNAm assayed in 2021); and the Multi Ethnic Study of Atherosclerosis (MESA; biological specimens collected 2010-2012, DNAm assayed in 2012-2013); using new georeferenced social exposure data for both studies (generated in 2022). Setting: MBMS was recruited from four community health centers in Boston; MESA was recruited from four field sites in: Baltimore, MD; Forsyth County, NC; New York City, NY; and St. Paul, MN. Participants: Two population-based samples of US-born Black non-Hispanic (Black NH), white non-Hispanic (white NH), and Hispanic individuals (MBMS; n=224 Black NH and 69 white NH) and (MESA; n=229 Black NH, n=555 white NH and n=191 Hispanic). Exposures: Eight social exposures encompassing racial discrimination, economic adversity, and air pollution. Main outcome: Genome-wide changes in DNAm, as measured using the Illumina EPIC BeadChip (MBMS; using frozen blood spots) and Illumina 450k BeadChip (MESA; using purified monocytes). Our hypothesis was formulated after data collection. Results: We observed the strongest associations with traffic-related air pollution (measured via black carbon and nitrogen oxides exposure), with evidence from both studies suggesting that air pollution exposure may induce epigenetic changes related to inflammatory processes. We also found suggestive associations of DNAm variation with measures of structural racial discrimination (e.g., for Black NH participants, born in a Jim Crow state; adult exposure to racialized economic residential segregation) situated in genes with plausible links to effects on health. Conclusions and Relevance: Overall, this work suggests that DNAm is a biological mechanism through which structural racism and air pollution become embodied and may lead to health inequities.

Legislating Inequity: Structural Racism In Groups Of State Laws And Associations With Premature Mortality Rates.

Most evaluations of health equity policy have focused on the effects of individual laws. However, multiple laws' combined effects better reflect the crosscutting nature of structurally racist legal regimes. To measure the combined effects of multiple laws, we used latent class analysis, a method for detecting unobserved "subgroups" in a population, to identify clusters of US states based on thirteen structural racism-related legal domains in 2013. We identified three classes of states: one with predominantly harmful laws ([Formula: see text]), another with predominantly protective laws ([Formula: see text]), and a third with a mix of both ([Formula: see text]). Premature mortality rates overall-defined as deaths before age seventy-five per 100,000 population-were highest in states with predominantly harmful laws, which included eighteen states with past Jim Crow laws. This study offers a new method for measuring structural racism on the basis of how groups of laws are associated with premature mortality rates.

Disparities in joint exposure to environmental and social stressors in urban households in Greater Boston.

OBJECTIVES: Understanding how environmental and social stressors cluster is critical to explaining and addressing health disparities. It remains unclear how these stressors cluster at fine spatial resolution in low to medium-income, urban households. We explored patterns of environmental and social exposures at the household-level and potential predictors of these joint exposures in two environmental justice communities in the Greater Boston area. METHODS: We recruited 150 households in Chelsea, MA and the Dorchester neighborhood of Boston, MA, between 2016 and 2019 and collected data on two domains: environmental and social stressor. For each domain, we fit Latent Class Analysis (LCA) models to exposure data to assess intra-domain variability, and cross-classified the resultant classes to identify joint exposure profiles. We compared differences in the distribution of these profiles by participants' demographic and household characteristics using χ2, Fisher's exact, Analysis of Variance, and Kruskal-Wallis tests. RESULTS: We identified two latent classes in each domain: High environmental (n = 90; 60.4%), Low environmental (n = 59; 39.6%), High Social (n = 31; 20.8%), and Low Social (n = 118; 79.2%). Cross-classification yielded four joint exposure profiles: Both Low (n = 46, 30.9%); Both High (n = 18, 12.1%); High environmental-Low Social (n = 72, 48.3%); and Low environmental-High Social (n = 13, 8.7%). Significant group differences were found by housing type (e.g., single-family vs. multi-family) (Fisher's exact p = 0.0016), housing tenure (p = 0.0007), and study site (p < 0.0001). We also observed differences by race/ethnicity, income, and education: households that were Hispanic/Latinx, below the poverty level, and with lower education were more likely to be in the Both High group. CONCLUSIONS: Our analyses confirmed that environmental and social stressors cluster in socially disadvantaged households. Housing type, housing tenure, and location of the residence were also strong predictors of cluster membership, with renter and multi-family residents at risk of high exposures to environmental and social stressors.

Use of Abortion Services in Massachusetts After the Dobbs Decision Among In-State vs Out-of-State Residents.

This cohort study compares observed vs expected abortion counts after Dobbs in Massachusetts among in-state vs out-of-state residents.

Epigenetic clocks and research implications of the lack of data on whom they have been developed: a review of reported and missing sociodemographic characteristics.

Epigenetic clocks are increasingly being used as a tool to assess the impact of a wide variety of phenotypes and exposures on healthy ageing, with a recent focus on social determinants of health. However, little attention has been paid to the sociodemographic characteristics of participants on whom these clocks have been based. Participant characteristics are important because sociodemographic and socioeconomic factors are known to be associated with both DNA methylation variation and healthy ageing. It is also well known that machine learning algorithms have the potential to exacerbate health inequities through the use of unrepresentative samples - prediction models may underperform in social groups that were poorly represented in the training data used to construct the model. To address this gap in the literature, we conducted a review of the sociodemographic characteristics of the participants whose data were used to construct 13 commonly used epigenetic clocks. We found that although some of the epigenetic clocks were created utilizing data provided by individuals from different ages, sexes/genders, and racialized groups, sociodemographic characteristics are generally poorly reported. Reported information is limited by inadequate conceptualization of the social dimensions and exposure implications of gender and racialized inequality, and socioeconomic data are infrequently reported. It is important for future work to ensure clear reporting of tangible data on the sociodemographic and socioeconomic characteristics of all the participants in the study to ensure that other researchers can make informed judgements about the appropriateness of the model for their study population.

Impacts of census differential privacy for small-area disease mapping to monitor health inequities.

The U.S. Census Bureau will implement a modernized privacy-preserving disclosure avoidance system (DAS), which includes application of differential privacy, on publicly released 2020 census data. There are concerns that the DAS may bias small-area and demographically stratified population counts, which play a critical role in public health research, serving as denominators in estimation of disease/mortality rates. Using three DAS demonstration products, we quantify errors attributable to reliance on DAS-protected denominators in standard small-area disease mapping models for characterizing health inequities. We conduct simulation studies and real data analyses of inequities in premature mortality at the census tract level in Massachusetts and Georgia. Results show that overall patterns of inequity by racialized group and economic deprivation level are not compromised by the DAS. While early versions of DAS induce errors in mortality rate estimation that are larger for Black than non-Hispanic white populations in Massachusetts, this issue is ameliorated in newer DAS versions.

Multi-dimensional sleep and mortality: The Multi-Ethnic Study of Atherosclerosis.

STUDY OBJECTIVES: Multiple sleep characteristics are informative of health, sleep characteristics cluster, and sleep health can be described as a composite of positive sleep attributes. We assessed the association between a sleep score reflecting multiple sleep dimensions, and mortality. We tested the hypothesis that more favorable sleep (higher sleep scores) is associated with lower mortality. METHODS: The Multi-Ethnic Study of Atherosclerosis (MESA) is a racially and ethnically-diverse multi-site, prospective cohort study of US adults. Sleep was measured using unattended polysomnography, 7-day wrist actigraphy, and validated questionnaires (2010-2013). 1726 participants were followed for a median of 6.9 years (Q1-Q3, 6.4-7.4 years) until death (171 deaths) or last contact. Survival models were used to estimate the association between the exposure of sleep scores and the outcome of all-cause mortality, adjusting for socio-demographics, lifestyle, and medical comorbidities; follow-up analyses examined associations between individual metrics and mortality. The exposure, a sleep score, was constructed by an empirically-based Principal Components Analysis on 13 sleep metrics, selected a priori. RESULTS: After adjusting for multiple confounders, a 1 standard deviation (sd) higher sleep score was associated with 25% lower hazard of mortality (Hazard Ratio [HR]: 0.75; 95% Confidence interval: [0.65, 0.87]). The largest drivers of this association were: night-to-night sleep regularity, total sleep time, and the Apnea-Hypopnea Index. CONCLUSION: More favorable sleep across multiple characteristics, operationalized by a sleep score, is associated with lower risk of death in a diverse US cohort of adults. Results suggest that interventions that address multiple dimensions may provide novel approaches for improving health.

In situ psycho-cognitive assessments support self-determined urban green exercise time.

Prescribed nature walks frequently yield improvements to mood and cognition as observed in experimental studies. Research that uses real life settings such as self-determined time exercising outdoors for restorative health benefits may more accurately elicit effects than time-specified study protocols. This study examined in situ psycho-cognitive outcomes of routine walks in urban greenspace to test the concept that self-set exposure duration and not context alone is related to magnitude of psycho-cognitive benefit. Pre-post measurements taken on a diverse participant pool of individuals walking in urban parks and recruited on random days over a two-week period found significant associations between outdoor activity duration and cognitive and mood improvements. Greater outdoor walking duration linearly predicted stronger processing speeds but non-linearly in tests of other cognitive domains. Results of fixed effects model for mean mood change following green exercise show outdoor walking influenced mood change at highest levels of significance, even after accounting for individual level variability in duration. Mood improved for all durations of outdoor walking under a random effects model with high significance. Untethering fixed intervals of outdoor exercise from formal study design revealed briefer but more frequent nature engagement aligned with nature affinity. The influence of unmeasured factors, e.g., nature affinity or restorative conditioning, for prescriptive durations of urban green exercise merits further investigation toward designing wellbeing interventions directed at specific urban populations.

Contextualizing Response Rates During the COVID-19 Pandemic: Experiences From a Boston-Based Community Health Centers Study.

OBJECTIVES: The focus of this study was to calculate and contextualize response rates for a community-based study conducted during the COVID-19 pandemic, a topic on which scant data exist, and to share lessons learned from recruiting and enrolling for implementation of future studies. DESIGN: The Life+Health Study, a cross-sectional population-based study designed to advance novel methods to measure and analyze multiple forms of discrimination for population health research. SETTING: The study recruited participants from 3 community health centers in Boston, Massachusetts, between May 2020 and July 2022. PARTICIPANTS: A total of 699 adult participants between the ages of 25 and 64 years who were born in the United States and had visited one of the health centers within the last 2 years. MAIN OUTCOME MEASURES: The response rate was calculated as follows: (number of completions + number of dropouts)/(dropouts + enrollments). To contextualize this response rate, we synthesized evidence pertaining to local COVID-19 case counts, sociopolitical events, pandemic-related restrictions and project protocol adjustments, and examples of interactions with patients. RESULTS: Our study had a lower-than-expected response rate (48.4%), with the lowest rates from the community health centers serving primarily low-income patients of color. Completion rates were lower during periods of higher COVID-19 case counts. We describe contextual factors that led to challenges and lessons learned from recruiting during the pandemic, including the impact of US sociopolitical events. CONCLUSIONS: The Life+Health Study concluded recruitment during the pandemic with a lower-than-expected response rate, as also reported in 4 other US publications focused on the impact of COVID-19 on response rates in community-based studies. Our results provide an example of the impact of the pandemic and related US sociopolitical events on response rates that can serve as a framework for contextualizing other research conducted during the pandemic and highlight the importance of best practices in research recruitment with underserved populations.

Interventional Effects Analysis of Dating Violence and Sexual Assault Victimization in LGBTQ + Adolescents: Quantifying the Roles of Inequities in School and Family Factors.

Lesbian, gay, bisexual, transgender/nonbinary, and queer (LGBTQ +) adolescents experience considerable disparities in dating violence and sexual assault victimization relative to heterosexual and cisgender peers. These disparities may be driven in part by the disruptive effects of heterosexism and cissexism on school-based and family relationships. To quantify the potential roles of these processes and identify priorities for prevention efforts, we estimated the extent to which dating violence and sexual assault victimization in LGBTQ + adolescents could be reduced by eliminating sexual orientation and gender modality inequities in school adult support, bullying victimization, and family adversity. We analyzed data from a cross-sectional, population-based survey of high school students in Dane County, Wisconsin (N = 15,467; 13% sexual minority; 4% transgender/nonbinary; 72% White) using interventional effects analysis, adjusting for grade, race/ethnicity, and family financial status. We found that eliminating inequities in bullying victimization and family adversity could significantly reduce dating violence and sexual assault victimization in LGBTQ + adolescents, particularly sexual minority cisgender girls and transgender/nonbinary adolescents. For instance, eliminating gender modality inequities in family adversity could reduce sexual assault victimization in transgender/nonbinary adolescents by 2.4 percentage points, representing 27% of the existing sexual assault victimization disparity between transgender/nonbinary and cisgender adolescents (P < 0.001). Results suggest that dating violence and sexual assault victimization in LGBTQ + adolescents could be meaningfully reduced by policies and practices addressing anti-LGBTQ + bullying as well as heterosexism- and cissexism-related stress in LGBTQ + adolescents' families.

Prospective Associations of Childhood Housing Insecurity With Anxiety and Depression Symptoms During Childhood and Adulthood.

Importance: Childhood housing insecurity has dramatically increased in the US in recent decades, but whether an association with adverse mental health outcomes exists after adjusting for repeated measures of childhood poverty is unclear. Objective: To test whether childhood housing insecurity is associated with later anxiety and depression symptoms after adjusting for time-varying measures of childhood poverty. Design, Setting, and Participants: This prospective cohort study included individuals aged 9, 11, and 13 years at baseline from the Great Smoky Mountains Study in western North Carolina. Participants were assessed up to 11 times from January 1993 to December 2015. Data were analyzed from October 2021 to October 2022. Exposure: Participants and their parents reported social factors annually when participants were 9 to 16 years of age. A comprehensive measure of childhood housing insecurity was constructed based on frequent residential moves, reduced standard of living, forced separation from home, and foster care status. Main Outcomes and Measures: Between ages 9 and 16 years, the Child and Adolescent Psychiatric Assessment was used up to 7 times to evaluate childhood anxiety and depression symptoms. Adult anxiety and depression symptoms were assessed at ages 19, 21, 26, and 30 years using the Young Adult Psychiatric Assessment. Results: Of the 1339 participants (mean [SD] age, 11.3 [1.63] years), 739 (55.2%; 51.1% weighted) were male; 1203 individuals assessed up to 30 years of age were included in the adulthood outcome analyses. Standardized mean (SD) baseline anxiety and depression symptom scores were higher among children who experienced housing insecurity than among those who never experienced housing insecurity (anxiety: 0.49 [1.15] vs 0.22 [1.02]; depression: 0.20 [1.08] vs -0.06 [0.82]). Individuals who experienced childhood housing insecurity had higher anxiety symptom scores (fixed effects: standardized mean difference [SMD], 0.21; 95% CI, 0.12-0.30; random effects: SMD, 0.25; 95% CI, 0.15-0.35) and higher depression symptom scores (fixed effects: SMD, 0.18; 95% CI, 0.09-0.28; random effects: SMD, 0.26; 95% CI, 0.14-0.37) during childhood. In adulthood, childhood housing insecurity was associated with higher depression symptom scores (SMD, 0.11; 95% CI, 0.00-0.21). Conclusions and Relevance: In this cohort study, housing insecurity was associated with anxiety and depression during childhood and with depression during adulthood. Because housing insecurity is a modifiable, policy-relevant factor associated with psychopathology, these results suggest that social policies that support secure housing may be an important prevention strategy.

"We're always an afterthought"- Designing tobacco control campaigns for dissemination with and to LGBTQ +-serving community organizations: a thematic analysis.

PURPOSE: Evidence-based health communication campaigns can support tobacco control and address tobacco-related inequities among lesbian, gay, bisexual, transgender, and queer (LGBTQ +) populations. Community organizations focused on LGBTQ + health (e.g., nonprofits, community centers, and community health centers) can be prime channels for delivering evidence-based health communication campaigns. However, it is unclear how to balance the goals of a) designing campaigns to support broad adoption/uptake and b) adaptation addressing the needs of diverse communities and contexts. As part of an effort to support "designing for dissemination," we explored the key challenges and opportunities staff and leaders of LGBTQ + -serving community organizations encounter when adopting or adapting evidence-based health communication campaigns. METHODS: A team of researchers and advisory committee members conducted this study, many of whom have lived, research, and/or practice experience with LGBTQ + health. We interviewed 22 staff members and leaders of community organizations serving LGBTQ + populations in the US in early 2021. We used a team-based, reflexive thematic analysis approach. RESULTS: The findings highlight the challenges of attempting to use health communication campaigns misaligned with the assets and needs of organizations and community members. The three major themes identified were as follows: (1) available evidence-based health communication campaigns typically do not sufficiently center LGBTQ + communities, (2) negotiation regarding campaign utilization places additional burden on practitioners who have to act as "gatekeepers," and (3) processes of using health communication campaigns often conflict with organizational efforts to engage community members in adoption and adaptation activities. CONCLUSIONS: We offer a set of considerations to support collaborative design and dissemination of health communication campaigns to organizations serving LGBTQ + communities: (1) develop campaigns with and for LGBTQ + populations, (2) attend to the broader structural forces impacting campaign recipients, (3) support in-house testing and adaptations, and (4) increase access to granular data for community organizations.

A multistate approach for the study of interventions on an intermediate time-to-event in health disparities research.

We propose a novel methodology to quantify the effect of stochastic interventions for a non-terminal intermediate time-to-event on a terminal time-to-event outcome. Investigating these effects is particularly important in health disparities research when we seek to quantify inequities in the timely delivery of treatment and its impact on patients' survival time. Current approaches fail to account for time-to-event intermediates and semi-competing risks arising in this setting. Under the potential outcome framework, we define causal contrasts relevant in health disparities research and provide identifiability conditions when stochastic interventions on an intermediate non-terminal time-to-event are of interest. Causal contrasts are estimated in continuous time within a multistate modeling framework and analytic formulae for the estimators of the causal contrasts are developed. We show via simulations that ignoring censoring in intermediate and/or terminal time-to-event processes or ignoring semi-competing risks may give misleading results. This work demonstrates that a rigorous definition of the causal effects and joint estimation of the terminal outcome and intermediate non-terminal time-to-event distributions are crucial for valid investigation of interventions and mechanisms in continuous time. We employ this novel methodology to investigate the role of delaying treatment uptake in explaining racial disparities in cancer survival in a cohort study of colon cancer patients.