An Examination of Sleep as a Protective Factor for Depression and Anxiety in the Perinatal Period: Novel Causal Analyses in a Prospective Pregnancy Cohort.

Sleep problems are common in the perinatal period. But the effects of sleep health on long-term postpartum depression and anxiety are underexamined. Using marginal structural models, we estimated the effect of sustained restful sleep quality, or adequate sleep quantity, or both, on clinically significant depression and anxiety at 23- and 32-weeks gestation, and 8-weeks, 8-, and 21-months postpartum. Women (n = 9,211) in the Avon Longitudinal Study of Parents and Children cohort reported on sleep quality (difficulty falling asleep, and early morning awakening), sleep quantity (< or > 5 hours and perceived sleep adequacy), depression (Edinburgh Postnatal Depression Scale), and anxiety (Crown-Crisp Experiential Index). Analyses adjusted for fixed (maternal education, age, body mass index, parity, marital status, smoking) and time varying (alcohol use, psychosocial adversities, depression, anxiety or sleep problems at prior time periods) covariates. Descriptive analyses suggest that sleep alterations persist beyond the immediate postpartum period. Estimates of counterfactual prevalences of outcomes under restful sleep quality and adequate sleep suggest a reduction of the population burden of clinically significant depression between 2.4% - 5.9%, and anxiety by 3.4% - 8.0% for the time points assessed. Interventions for perinatal sleep problems may reduce clinically significant depression and anxiety.

A BAYESIAN HIERARCHICAL SMALL AREA POPULATION MODEL ACCOUNTING FOR DATA SOURCE SPECIFIC METHODOLOGIES FROM AMERICAN COMMUNITY SURVEY, POPULATION ESTIMATES PROGRAM, AND DECENNIAL CENSUS DATA.

Small area population counts are necessary for many epidemiological studies, yet their quality and accuracy are often not assessed. In the United States, small area population counts are published by the United States Census Bureau (USCB) in the form of the decennial census counts, intercensal population projections (PEP), and American Community Survey (ACS) estimates. Although there are significant relationships between these three data sources, there are important contrasts in data collection, data availability, and processing methodologies such that each set of reported population counts may be subject to different sources and magnitudes of error. Additionally, these data sources do not report identical small area population counts due to post-survey adjustments specific to each data source. Consequently, in public health studies, small area disease/mortality rates may differ depending on which data source is used for denominator data. To accurately estimate annual small area population counts and their associated uncertainties, we present a Bayesian population (BPop) model, which fuses information from all three USCB sources, accounting for data source specific methodologies and associated errors. We produce comprehensive small area race-stratified estimates of the true population, and associated uncertainties, given the observed trends in all three USCB population estimates. The main features of our framework are: (1) a single model integrating multiple data sources, (2) accounting for data source specific data generating mechanisms and specifically accounting for data source specific errors, and (3) prediction of population counts for years without USCB reported data. We focus our study on the Black and White only populations for 159 counties of Georgia and produce estimates for years 2006-2023. We compare BPop population estimates to decennial census counts, PEP annual counts, and ACS multi-year estimates. Additionally, we illustrate and explain the different types of data source specific errors. Lastly, we compare model performance using simulations and validation exercises. Our Bayesian population model can be extended to other applications at smaller spatial granularity and for demographic subpopulations defined further by race, age, and sex, and/or for other geographical regions.

Associations Between Food Insecurity and Diet Quality Among Graduate Students and Postdoctoral Trainees in the Health Sciences at a Private University in Boston: A Cross-Sectional Study.

Background: Food insecurity is a pivotal determinant of health outcomes. Little evidence exists on the association between food insecurity and health behaviors and outcomes, including diet quality, among graduate students or postdoctoral trainees. Objectives: This study aimed to examine the association between food insecurity and diet quality among graduate students and postdoctoral trainees at 3 health-focused graduate schools (public health, medical, and dental medicine) within Harvard University. Methods: Between April and June 2023, 1287 graduate students and 458 postdoctoral trainees at the health-focused schools within Harvard University completed a web-based survey. The primary exposure was food security status, assessed using the United States Household Food Security Survey Module. The primary outcome was diet quality, measured using the 30-day Prime Diet Quality Score screener (ranges from 0 to 126, with higher scores indicating healthier diets). The associations between food insecurity and diet quality were examined using multivariable regression models, adjusting for sociodemographic covariates. Results: Among graduate students, compared with those with high food security, diet quality was significantly lower among those experiencing marginal food security [ß: -4.7; 95% confidence interval (CI): -6.5, -2.9], low food security (ß: -5.4; 95% CI: -7.6, -3.3), and very low food security (ß: -4.4; 95% CI: -7.4, -1.4). Poor diet quality included lower intake frequencies of vegetables, fruits, beans/peas/soy products, nuts/seeds, poultry, fish, low-fat dairy, and liquid oils, and higher intake frequencies of refined grains/baked products, sugar-sweetened beverages, and fried foods. Among postdoctoral trainees, compared with those with high food security, diet quality was significantly lower among those experiencing low food security (ß: -5.1; 95% CI: -8.8, -1.4), and very low food security (ß: -5.2; 95% CI: -10.2, -0.2). Poor diet quality included lower intake frequencies of dark green leafy vegetables, other fruits, and whole grains. Conclusions: Graduate students and postdoctoral trainees who experienced degrees of food insecurity reported lower diet quality. These observations underscore the need for policies and interventions to simultaneously reduce food insecurity and improve diet quality.

Epigenetic Aging and Racialized, Economic, and Environmental Injustice: NIMHD Social Epigenomics Program.

Importance: Epigenetic age acceleration is associated with exposure to social and economic adversity and may increase the risk of premature morbidity and mortality. However, no studies have included measures of structural racism, and few have compared estimates within or across the first and second generation of epigenetic clocks. Objective: To determine whether epigenetic age acceleration is positively associated with exposures to diverse measures of racialized, economic, and environmental injustice measured at different levels and time periods. Design, Setting, and Participants: This cross-sectional study used data from the My Body My Story (MBMS) study between August 8, 2008, and December 31, 2010, and examination 5 of the Multi-Ethnic Atherosclerosis Study (MESA) from April 1, 2010, to February 29, 2012. In the MBMS, DNA extraction was performed in 2021; linkage of structural measures to the MBMS and MESA, in 2022. US-born individuals were randomly selected from 4 community health centers in Boston, Massachusetts (MBMS), and 4 field sites in Baltimore, Maryland; Forsyth County, North Carolina; New York City, New York; and St Paul, Minnesota (MESA). Data were analyzed from November 13, 2021, to August 31, 2023. Main Outcomes and Measures: Ten epigenetic clocks (6 first-generation and 4 second-generation), computed using DNA methylation data (DNAm) from blood spots (MBMS) and purified monocytes (MESA). Results: The US-born study population included 293 MBMS participants (109 men [37.2%], 184 women [62.8%]; mean [SD] age, 49.0 [8.0] years) with 224 Black non-Hispanic and 69 White non-Hispanic participants and 975 MESA participants (492 men [50.5%], 483 women [49.5%]; mean [SD] age, 70.0 [9.3] years) with 229 Black non-Hispanic, 191 Hispanic, and 555 White non-Hispanic participants. Of these, 140 (11.0%) exhibited accelerated aging for all 5 clocks whose estimates are interpretable on the age (years) scale. Among Black non-Hispanic MBMS participants, epigenetic age acceleration was associated with being born in a Jim Crow state by 0.14 (95% CI, 0.003-0.27) SDs and with birth state conservatism by 0.06 (95% CI, 0.01-0.12) SDs, pooling across all clocks. Low parental educational level was associated with epigenetic age acceleration, pooling across all clocks, for both Black non-Hispanic (0.24 [95% CI, 0.08-0.39] SDs) and White non-Hispanic (0.27 [95% CI, 0.03-0.51] SDs) MBMS participants. Adult impoverishment was positively associated with the pooled second-generation clocks among the MESA participants (Black non-Hispanic, 0.06 [95% CI, 0.01-0.12] SDs; Hispanic, 0.07 [95% CI, 0.01-0.14] SDs; White non-Hispanic, 0.05 [95% CI, 0.01-0.08] SDs). Conclusions and Relevance: The findings of this cross-sectional study of MBMS and MESA participants suggest that epigenetic age acceleration was associated with racialized and economic injustice, potentially contributing to well-documented inequities in premature mortality. Future research should test the hypothesis that epigenetic accelerated aging may be one of the biological mechanisms underlying the well-documented elevated risk of premature morbidity and mortality among social groups subjected to racialized and economic injustice.

Individual-Level Experiences of Structural Inequity and Their Association with Subjective and Objective Sleep Outcomes in the Adolescent Brain Cognitive Development Study.

PURPOSE: Research has documented that adolescent sleep is impacted by various stressors, including interpersonal experiences and structural disadvantage. This study extends existing knowledge by empirically examining interconnected individual experiences of structural inequity and assessing its association with subjective and objective sleep outcomes. METHODS: We utilized data from the Adolescent Brain and Cognitive Development Study to identify seven conceptual domains of structural inequity: perceived discrimination, low school inclusivity, neighborhood safety, unmet medical needs, legal problems, material hardship, and housing insecurity. We operationalized experiences of structural inequity as latent classes, a cumulative exposure, and each domain separately. Sleep disturbances were measured using the Sleep Disturbance Scale, and sleep duration was assessed using Fitbits. Mixed effects linear regression estimated the association between our measures of structural inequity, longitudinal sleep disturbances, and cross-sectional sleep duration. RESULTS: Latent class analysis revealed common exposure profiles (low risk, interpersonal, and systemic) of experiences of structural inequity across our sample. In longitudinal models, structural inequity was associated with higher Sleep Disturbance Scale scores, whether measured as latent classes, a cumulative exposure, or individual domains. Individuals with interpersonal exposures, those with at least one exposure, and those with legal problems, material hardship, and housing insecurity had lower mean sleep duration. DISCUSSION: Results are consistent with literature that frames structural inequity as a lifelong determinant of sleep disturbance and duration. Adolescence represents a crucial time for interventions aimed at improving sleep and redressing inequities throughout the life course; our work can inform the development of policies and interventions toward this end.

Longitudinal relationships between early-life homelessness and school-aged asthma and wheezing.

BACKGROUND: Homelessness is a disruptive life event with profound impacts on children's health. It remains unclear, however, whether homelessness in early life has an enduring association with asthma and wheezing among school-aged children. OBJECTIVE: To test whether early-life homelessness is prospectively associated with asthma and wheezing during school-aged years. METHODS: We draw on data from 9242 children from the Avon Longitudinal Study of Parents and Children. Children were categorised as 'ever' or 'never' homeless based on maternal reports from the prenatal period through age 5 years. Children were assigned a binary indicator of asthma/wheezing based on maternal reports of asthma and wheezing at ages 6.8, 7.6 and 8.6 years. We used multilevel logistic regression models to test the association of interest in both bivariate analyses and models adjusted for a broad set of potential confounders. We conducted sensitivity analyses using generalised estimating equations and considering asthma and wheezing separately to test the robustness of the results. RESULTS: Between 12.1% and 14.3% of children had asthma or wheezing at ages 6.8, 7.6 and 8.6 years, and these conditions were more common among ever homeless participants. Ever-homeless children displayed higher odds of asthma or wheezing than never-homeless children (OR: 1.59, 95% CI 1.02 to 2.48) after adjustment for child, maternal and household risk factors. Sensitivity analyses yielded similar results. CONCLUSION: Early-life homelessness is prospectively associated with asthma and wheezing among school-aged children and should be prioritised by interventions promoting healthy child development.

Seeking abortion accompaniment: experiences and self-managed abortion preferences of hotline callers after abortion legalisation in Argentina.

BACKGROUND: Until the legalisation of abortion in Argentina in 2021, the Socorristas en Red, a network of feminist collectives, provided support and information ('accompaniment') to people self-managing their abortion with medications. Following legalisation, the Socorristas continued accompanying people self-managing or accessing abortion through the healthcare system. We conducted a cross-sectional study to understand preferences, experiences and choices about abortion when contacting a Socorristas hotline after legalisation of abortion in Argentina. METHODS: We surveyed callers to the Socorristas' hotline in Neuquén, Argentina about their demographics, pregnancy history, reasons for calling, and experiences seeking abortion through the hotline and the healthcare system. We assessed overall prevalence of these experiences, and analysed differences between people who contacted the health system before calling the hotline and those who first called the hotline for services. RESULTS: Of the 755 callers in the study, the majority (63.3%) contacted the Socorristas because they trusted them, and 21.7% called because they both trusted the Socorristas and did not want to go to the healthcare system. At the end of the call, most people (95.4%) chose to self-manage their abortion with accompaniment outside the healthcare system. People who called the healthcare system prior to contacting the hotline frequently reported being referred to the Socorristas, as well as challenges scheduling appointments. CONCLUSIONS: After legalisation of abortion in Argentina there is continued demand for accompaniment. Globally, ensuring that accompaniment and self-management of abortion is legal and protected will provide individuals with the support and facilitated access to the abortion care they desire.

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.

Disparities in Postpartum Care Visits: The Dynamics of Parental Leave Duration and Postpartum Care Attendance.

OBJECTIVES: To understand differences in the relationship between parental leave duration and postpartum care across sociodemographic and income groups. METHODS: We used data from six states participating in the Center for Disease Control and Prevention's yearly PRAMS study from 2016 to 2019 with a total sample of 12,442 people. Bivariable analyses assessed demographics among those who took more or less parental leave and estimated the prevalence of not accessing postpartum care by demographics, stratified by leave length. We used propensity score weighting to estimate the predicted risk and risk ratios of not accessing postpartum care with < 7 as compared to > = 7 weeks of leave, stratified by income. RESULTS: There were significant differences in the prevalence of not accessing care stratified by leave duration, and disparities in utilization by race, ethnicity, and income. A shorter leave duration was associated with a higher risk of not accessing care (RR: 1.98 [CI 1.25-3.20] in higher income group, RR: 1.45 [CI 1.08, 1.99] in lower). The absolute risk of not accessing care was highest in the lower income group regardless of leave duration, though patterns of increased utilization with longer leave duration were consistent in both groups. CONCLUSIONS FOR PRACTICE: While shorter leave durations increased the risk of not attending postpartum care, those with lower incomes had the highest absolute risk of not attending care. Policies to support paid leave and extended leave duration are necessary, along with additional supports to increase postpartum care utilization, particularly among low-income families.

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.