Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach.

The worldwide appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has generated significant concern and posed a considerable challenge to global health. Phosphorylation is a common post-translational modification that affects many vital cellular functions and is closely associated with SARS-CoV-2 infection. Precise identification of phosphorylation sites could provide more in-depth insight into the processes underlying SARS-CoV-2 infection and help alleviate the continuing COVID-19 crisis. Currently, available computational tools for predicting these sites lack accuracy and effectiveness. In this study, we designed an innovative meta-learning model, Meta-Learning for Serine/Threonine Phosphorylation (MeL-STPhos), to precisely identify protein phosphorylation sites. We initially performed a comprehensive assessment of 29 unique sequence-derived features, establishing prediction models for each using 14 renowned machine learning methods, ranging from traditional classifiers to advanced deep learning algorithms. We then selected the most effective model for each feature by integrating the predicted values. Rigorous feature selection strategies were employed to identify the optimal base models and classifier(s) for each cell-specific dataset. To the best of our knowledge, this is the first study to report two cell-specific models and a generic model for phosphorylation site prediction by utilizing an extensive range of sequence-derived features and machine learning algorithms. Extensive cross-validation and independent testing revealed that MeL-STPhos surpasses existing state-of-the-art tools for phosphorylation site prediction. We also developed a publicly accessible platform at https://balalab-skku.org/MeL-STPhos. We believe that MeL-STPhos will serve as a valuable tool for accelerating the discovery of serine/threonine phosphorylation sites and elucidating their role in post-translational regulation.

County-level industrial composition of the labor force and drug overdose mortality rates in the United States in 2018-2021.

BACKGROUND: Drug mortality risks vary among industries, creating distinctive geographic patterns across US counties. However, less is known about how local labor market structure relates to drug overdose mortality amid the synthetic opioid era in the United States. This study investigates the relationship between industry-specific job composition and drug overdose mortality at the county level while exploring how fentanyl's presence in illicit drug supplies may moderate the relationship. METHODS: Data were derived from the National Center for Health Statistics' Multiple Cause of Death files for the rates of drug overdose mortality of any intent, linked with four other sources on industry-specific job shares, drug supply, and county-level sociodemographic characteristics and opioid prescribing rates from the US Census Bureau, the CDC, and the Drug Enforcement Administration. Negative binomial regression models were employed to examine associations between county industry-specific job composition and drug overdose mortality, with tests for moderating effects of state-level fentanyl seizure rates. RESULTS: Our models indicate negative associations between job shares of manufacturing, retail trade, and educational services industries and drug overdose mortality. Positive associations were found for arts/entertainment/recreation and public administration. State-level fentanyl seizure rates had moderating effects on administrative/support/waste management/remediation (A/S/WM/R) and educational services. CONCLUSION: Counties with a higher concentration of arts/entertainment/recreation and public administration jobs need targeted efforts to mitigate drug-related overdose risks. Additionally, areas with higher concentrations of A/S/WM/R service jobs, particularly where fentanyl seizure rates are higher, may require proactive harm reduction strategies for reducing overdose risks.

Mental Health Impact of Bullying by Ethnic Peers in Senior Housing: A Study with Older Korean American Residents in the Greater Los Angeles Area.

Using data from Korean-American residents (N = 343) in subsidized senior housing in the Los Angeles area, we examined the effect of peer bullying on mental health. About 18% of the sample had been a target of bullying, and over 31% had witnessed someone being bullied. Being a target of bullying was a significant predictor for both depressive symptoms and anxiety, whereas witnessing other residents being bullied was a significant predictor for anxiety only. Findings shed light on the adverse mental health impacts of peer bullying among ethnic minority older residents in senior housing.

Examining the Long-term Association Between Neighborhood Socioeconomic Status and Obesity and Obesity-related Unhealthy Behaviors Among Children: Results From the Fragile Families and Child Wellbeing Study.

BACKGROUND: Literature has focused on neighborhood environments and their possible impacts on obesity and obesity-related behaviors. However, few longitudinal studies have examined the effect of neighborhood socioeconomic status (nSES) on childhood obesity. PURPOSE: Investigate the longitudinal association between nSES and obesity and obesity-related unhealthy behaviors. METHODS: We obtained data from the Fragile Families and Child Wellbeing Study (N = 2,072). The main exposure was nSES (measured using an index of five variables representing wealth, income, education, and occupation from the Decennial Census 2000) at ages 3, 5, and 9. The outcome was children's body mass index z-score (BMIz) at ages 5, 9, and 15. Three measures of obesity-related behaviors (i.e., child- or caregiver-reported soda/snack food intake, fast-food intake, and sedentary behaviors) at ages 5, 9, and 15 were included as mediators and outcomes. Cross-lagged path analyses were conducted. RESULTS: Higher nSES at a previous wave was associated with consuming less soda/snack foods (ßs = -0.15 to -0.11 [varying by ages], p < .05) and fast-food intake (ßs = -0.21 to -0.14 [varying by ages], p < .01), and less frequent sedentary behaviors (ßs = -0.14 to -0.06 [varying by ages], p < .01), but not with BMIz (ßs = -0.08 to 0.05 [varying by ages], p > .05). Unhealthy behaviors did not mediate the nSES-BMIz association at alpha .05. CONCLUSION: Health policies need to target low-socioeconomic neighborhoods to shape healthy lifestyles in children. To develop effective interventions, future research needs to examine comprehensive potential mediators like obesity-related parenting skills, home environments, and built and social environments on the risk of childhood obesity and obesity-related behaviors.

Neighborhood environments where children live and grow up have been shown to impact obesity and obesity-related behaviors. However, few longitudinal studies have examined the effect of neighborhood socioeconomic status on childhood obesity risk. We investigated the longitudinal association between neighborhood socioeconomic status and obesity and obesity-related unhealthy behaviors from early childhood to adolescence. Using data from the Fragile Families and Child Wellbeing Study, we conducted a statistical analysis to examine a mechanism by which neighborhood socioeconomic status at ages 3, 5, and 9 impacts childhood obesity and obesity-related unhealthy behaviors (i.e., soda/snack food intake, fast-food intake, and sedentary behaviors) at ages 5, 9, and 15. We observed that living in higher socioeconomic neighborhoods was associated with consuming less soda/snack foods and fast-food intake and engaging in sedentary behaviors less frequently. Neighborhood socioeconomic status was not significantly associated with childhood obesity. Our results indicate that community health policies targeting low socioeconomic neighborhoods are warranted to shape children's healthy lifestyle.

Bidirectional Six-Pack SiC Boost-Buck Converter Using Droop Control in DC Nano-Grid.

This paper proposes a bidirectional boost-buck converter employing a six-pack SiC intelligent power module using droop control in DC nano-grids. The topology is constructed as a cascaded structure of an interleaved boost converter and buck converter. A six-pack SiC intelligent power module (IPM), which is suitable for the proposed cascaded structure, is adopted for high efficiency and compactness. A hybrid control scheme, in which holding a particular switch always results in a turn-off or turn-on state according to the boost mode and the buck mode, is employed to reduce the switching losses. By applying the hybrid control scheme, the number of switching operations of the switches can be minimized. Since switchover of the current controller is not required, smooth transition is enabled not only from the buck mode to the boost mode but also vice versa. As a parallel control, a secondary control is employed with DC droop control, which has a trade-off relationship between voltage sag and current sharing. It is possible to enhance the accuracy of current sharing while effectively regulating the DC link voltage without voltage sag. This is verified experimentally using two modules as laboratory prototypes, of which the power rating is 20 kW each.

The Longitudinal Effect of Area Socioeconomic Changes on Obesity: a Longitudinal Cohort Study in the USA from 2003 to 2017.

Despite several dimensions of area socioeconomic status (SES), past literature has been dominated by the use of area socioeconomic position. We examined the longitudinal effect of three area SES measures (i.e., socioeconomic position, inequality, and segregation) on obesity. Using longitudinal data from the Fragile Families & Child Wellbeing Study (N = 1493), we estimated a linear mixed model to examine the effect of three time-varying area SES measures on time-varying measures of objectively measured body mass index z-score (BMIz) from ages 5 years to 15 years. Findings showed that BMIz increased steadily over time (B = 0.02, 95% CI = 0.02, 0.03). A significant interaction between time and area socioeconomic position indicates that children in areas with higher socioeconomic position had a smaller increase in BMIz than those in low socioeconomic areas (B = - 0.02, 95% CI = - 0.02, - 0.01). A non-linear relationship of area income inequality with BMIz such that BMIz was higher as area income inequality was greater, but the effect diminishes in magnitude with a higher level of area income inequality (linear term: B = 0.07; quadratic term: B = - 0.03). Area income segregation was associated with greater BMIz (B = 0.08, 95% CI = 0.03, 0.12). No time interaction effect was found for area income inequality and segregation. Results highlight a need for community health policy efforts and evidence-based interventions to address childhood obesity issues in low-SES areas.

An Association of Adverse Childhood Experiences with Binge Drinking in Adulthood: Findings from a Population-Based Study.

Background: Adverse childhood experiences (ACEs) are a major public health issue linked to negative health outcomes. Yet, few recent studies drawing on national data have examined the association between ACEs and binge drinking. Objective: The objective of this study was to examine the association between ACEs and binge drinking among adults in the United States and whether this association is dependent on sex. Methods: Data for this study were obtained from the 2019 Behavioral Risk Factor Surveillance System survey. An analytic sample of 41,322 adults aged 18-64 years (50.7% male) from 17 states was analyzed using binary logistic regression. The outcome variable was binge drinking, and the main explanatory variable was ACEs. Results: Of the 41,322 respondents, 21.3% engaged in binge drinking. About 30% of the respondents had no ACEs and 23.9% had four or more ACEs. In the multivariable logistic regression, we observed that sex moderated the association between ACEs and binge drinking. Odds were 1.36 times higher for females who experienced two ACEs (aOR = 1.36 p < .05, 95% CI = 1.04-1.77) and 1.58 times higher for females who experienced three ACEs (aOR = 1.58 p < .01, 95% CI = 1.17-2.12) to engage in binge drinking. Other factors associated with binge drinking include younger age, non-Hispanic White, higher income level, higher education, not being married, being overweight, and history of cigarette smoking. Conclusion: The findings of this study underscore the importance of developing sex-appropriate screening and intervention strategies to support individuals exposed to ACEs and potentially mitigate negative health outcomes later in life.

Interlayer engineering for enhanced ferroelectric tunnel junction operations in HfOx-based metal-ferroelectric-insulator-semiconductor stack.

Ferroelectric tunnel junction (FTJ) has been considered as a promising candidate for next-generation memory devices due to its non-destructive and low power operations. In this article, we demonstrate the interlayer (IL) engineering in the FTJs to boost device performances. Through the analysis on the material and electrical characteristics of the fabricated FTJs with engineered IL stacks, it is clearly found that the insertion of an Al2O3layer between the SiO2insulator and the pure-HfOxFE improves the read disturbance (2Vc = 2.2 V increased), the endurance characteristics (tenfold improvement), and the cell-to-cell TER variation simultaneously without the degradation of the ferroelectricity (less than 5%) and the polarization switching speeds through grain size modulation. Based on these investigations, the guidelines of IL engineering for low power ferroelectric devices were provided to obtain stable and fast memory operations.

A novel physical unclonable function (PUF) using 16 × 16 pure-HfOxferroelectric tunnel junction array for security applications.

As the computing paradigm has shifted toward edge computing, improving the security of edge devices is attracting significant attention. However, because edge devices have limited resources in terms of power and area, it is difficult to apply a conventional cryptography system to protect them. On the other hand, as a simple security application, a physical unclonable function (PUF) can be implemented without power and area problems because it provides a security key by utilizing process variations without additional external circuits. Ferroelectric tunnel junctions (FTJs) are 2-terminal devices that store information by changing the resistance of a ferroelectric material, where the resistance is determined by the polarization states of the ferroelectric domains. Because polycrystalline ferroelectric materials have a multi-domain nature, domain variation can also be used as a randomness source to induce cell-to-cell variations along with process variations. In this paper, we demonstrate PUF operations of a low-power, small area 16 × 16 hafnium oxide (pure-HfOx)-based FTJ array using certain metrics. It is clear that the proposed array consisting of scaled FTJs has adequate randomness for security applications such that the array-level PUF operations are robust against model-based machine learning attacks.

Living in High-SES Neighborhoods Is Protective against Obesity among Higher-Income Children but Not Low-Income Children: Results from the Healthy Communities Study.

Numerous studies have focused on the role of neighborhood socioeconomic status in childhood obesity and physical activity, but few studies have examined the effect of neighborhood socioeconomic changes over time and the interaction between family and neighborhood SES on childhood obesity and physical activity. This study measured neighborhood socioeconomic histories between 2000 and 2010 and examined the associations between neighborhood socioeconomic histories and childhood obesity, as well as physical activity. The moderating role of family poverty status was also examined. Using the Healthy Communities Study (2013-2015), we measured obesity indicators (objectively measured body mass index z-score and waist circumference) and a physical activity indicator (self-reported moderate-to-vigorous physical activity) for a cohort of 4114 children. Multilevel linear regression models were used to examine the associations between neighborhood socioeconomic histories between 2000 and 2009-2013 and body-mass index z-score, waist circumference, and moderate-to-vigorous physical activity. Results showed that higher-income children in consistently high socioeconomic neighborhoods had lower measured BMIz and WC and engaged in more moderate-to-vigorous physical activity than higher-income children in consistently low socioeconomic neighborhoods. Additionally, low-income children in consistently moderate socioeconomic neighborhoods reported a lower level of moderate-to-vigorous physical activity than low-income children in consistently low socioeconomic neighborhoods. The findings indicate that considering both family and neighborhood socioeconomic status may help elucidate the underlying differences in childhood obesity and physical activity levels by socioeconomic status.

Neighborhood Racial/Ethnic Composition Trajectories and Black-White Differences in Preterm Birth among Women in Texas.

The black-white disparity in preterm birth has been well documented in the USA. The racial/ethnic composition of a neighborhood, as a marker of segregation, has been considered as an underlying cause of the racial difference in preterm birth. However, past literature using cross-sectional measures of neighborhood racial/ethnic composition has shown mixed results. Neighborhoods with static racial/ethnic compositions over time may have different social, political, economic, and service environments compared to neighborhoods undergoing changing racial/ethnic compositions, which may affect maternal health. We extend the past work by examining the contribution of neighborhood racial/ethnic composition trajectories over 20 years to the black-white difference in preterm birth. We used natality files (N = 477,652) from birth certificates for all live singleton births to non-Hispanic black and non-Hispanic white women in Texas from 2009 to 2011 linked to the Neighborhood Change Database. We measured neighborhood racial/ethnic trajectories over 20 years. Hierarchical generalized linear models examined relationships between neighborhood racial/ethnic trajectories and preterm birth, overall and by mother's race. Findings showed that overall, living in neighborhoods with a steady high proportion non-Hispanic black was associated with higher odds of preterm birth, compared with neighborhoods with a steady low proportion non-Hispanic black. Furthermore, while black women's odds of preterm birth was relatively unaffected by neighborhood proportions of the Latinx or non-Hispanic white population, white women had the highest odds of preterm birth in neighborhoods characterized by a steady high proportion Latinx or a steady low proportion non-Hispanic white. Black-white differences were the highest in neighborhoods characterized by a steady high proportion white. Findings suggest that white women are most protected from preterm birth when living in neighborhoods with a steady high concentration of whites or in neighborhoods with a steady low concentration of Latinxs, whereas black women experience high rates of preterm birth regardless of proportion white or Latinx.

Familial Childhood Adversity is Associated with Chronic Disease Among Women: Data from the Geographic Research on Wellbeing (GROW) Study.

Objectives Few population-based studies on the relationship between childhood adversity and health in adulthood for women exist. Little is known about whether some social groups are more vulnerable to childhood adversity than other groups. Methods Using data from the Geographic Research on Wellbeing survey (GROW) conducted in California during 2012-2013, we examine associations between familial childhood adversities (FCAs) and a set of important chronic diseases and related conditions among women with young children, employing logistic regression models (N = 2409). Specifically, we test two measures of FCAs on the odds of reporting one or more chronic diseases or related-conditions (diabetes, hypertension, high cholesterol, heart disease). We also examine whether the associations between the two measures and the dependent variables vary by social factors (race/ethnicity, marital status, education, income). Results Both FCA measures were associated with reporting one or more chronic diseases after controlling for a set of important sociodemographic factors. Each unit increase in the number of FCAs corresponded to about a 10% increase in the odds of reporting one or more chronic disease(s). Moderating effects were also observed, with greater impacts among more socially vulnerable groups. Furthermore, ancillary analyses demonstrated that diabetes and high cholesterol were the drivers of the relationship between FCAs and chronic disease. Conclusions for Practice The social ecological model framework suggests that childhood adversity can be considered at multiple levels; that is, a sustainable reduction in the adverse health impacts of childhood adversity requires a concerted effort among policymakers and practitioners that includes both "upstream" and "downstream" approaches.

Skin color and academic achievement in young, Latino children: Impacts across gender and ethnic group.

OBJECTIVES: The present study investigates the association between skin color and academic achievement in young Latino students. METHOD: Data were drawn from a longitudinal study of the early development of Latino children that took place in 24 public elementary schools in New York City. Students included in the present analyses (N = 750) were 4 and 5 years old when they were enrolled (baseline) and were followed through the end of first grade. Structural equation models and bootstrapping mediation tests were conducted to examine the effects of skin color on academic achievement at the end of first grade, partially mediated by academic and social emotional domains of school readiness in prekindergarten or kindergarten. This study considered the intersectionality of ethnicity and gender in the models. RESULTS: The findings showed that for Dominican-origin boys, being "collectively black" was indirectly associated with lower academic achievement in first grade, mediated by lower teacher-rated adaptive behavior in prekindergarten or kindergarten. CONCLUSIONS: Discussion focuses on the need for educational policies and practices to be conscious of phenotypicality bias. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Is neighborhood poverty harmful to every child? Neighborhood poverty, family poverty, and behavioral problems among young children.

This longitudinal study investigates the association between neighborhood poverty and behavioral problems among young children. This study also examines whether social environments mediate the relationship between neighborhood poverty and behavioral problems. We used data from the third and fourth waves of the Fragile Families and Child Wellbeing study to assess behavioral problems separately for children who experienced no family poverty, moved out of family poverty, moved into family poverty, and experienced long-term family poverty. Regression models assessed the effect of neighborhood poverty on behavioral problem outcomes among children aged 5 years, after controlling for sociodemographic characteristics and earlier behavioral problems. Results showed an association between neighborhood poverty and lower social cohesion and safety, which lead to greater externalizing problems among children with long-term family poverty living in high-poverty neighborhoods compared with those in low-poverty neighborhoods. Policies and community resources need to be allocated to improve neighborhood social environments, particularly for poor children in high-poverty neighborhoods.

The Role of Authoritative and Authoritarian Parenting in the Early Academic Achievement of Latino Students.

Early academic achievement has been shown to predict high school completion, but there have been few studies of the predictors of early academic success focused on Latino students. Using longitudinal data from 750 Mexican and Dominican American families, this study examined a cultural model of parenting and early academic achievement. While Latino students were achieving in the average range as a whole, certain subgroups (e.g., Dominicans, boys) were at higher risk for underachievement. Results highlighted the protective role of authoritative parenting, which was associated with academic and social-emotional school readiness, both of which predicted higher achievement at the end of first grade. The role of respeto and authoritarian parenting practices in academic achievement at first grade differed between Mexican and Dominican American families. Findings advance understanding of early achievement and parenting among Latino families from a cultural perspective.

The role of neighborhood economic context on physical activity among children: Evidence from the Geographic Research on Wellbeing (GROW) study.

Less than half of young children in the U.S. meet physical activity recommendations. While neighborhood economic context has been shown to be associated with physical activity, it is unknown whether this association varies according to family economic context. This study thus investigates whether neighborhood economic context, measured by poverty concentration and income inequality, are associated with physical activity among poor and non-poor children using data from the Geographic Research on Wellbeing study, California, 2012-2013 (N=2670). Poor children who resided in (a) poor and equal neighborhoods or (b) non-poor and equal neighborhoods were more likely to engage in sufficient physical activity than were children residing in non-poor and unequal neighborhoods. Poor children in (a) non-poor and equal neighborhoods, (b) poor and equal neighborhoods, or (c) poor and unequal neighborhoods were less likely to report insufficient physical activity than those in non-poor and unequal neighborhoods. Neighborhood economic context was not associated with physical activity among non-poor children. Findings suggest that neighborhood economic context presents a social barrier to physical activity among poor children. Increasing physical activity among poor children in non-poor and unequal neighborhoods should be a high policy priority. Perceived social cohesion, perceived neighborhood safety, and park and walkability indicators did not mediate the associations between neighborhood economic context and physical activity. Further research needs to explore the mechanisms by which neighborhood economic context affects physical activity among children.

How Early do Social Determinants of Health Begin to Operate? Results From the Fragile Families and Child Wellbeing Study.

PURPOSE: From a life course perspective, important insights about how social determinants of health operate can be gained by analyzing the various forms that social climate can take in different life periods. For children, a critical aspect of social climate is exposure to bullying. Bullying can serve as a proxy for power imbalance and social exclusion analogous to adult social climate of discrimination and racism. DESIGN AND METHODS: We used the Year 9 follow-up data of the Fragile Families and Child Wellbeing Study (N=3301) that, for the first time included interviews with the children. We drew on a national sample of children and their families, which allowed us to account for broader contextual variables and represented a broad range of geographic areas and schools. Multinomial logistic regression was used to estimate the effects of exposure to bullying on self-rated health among primarily 9- to 10-year-old children while controlling for socio-demographic and diagnosed health-conditions. RESULTS: Both frequency and forms of bullying were positively associated with lower odds of reporting excellent, very good or good health. The effect of forms of bullying on children's self-rated health fell on a gradient. Subgroup analysis indicated a significant effect on self-rated health for children who experienced peer rejection but not for those who experienced physical aggression. CONCLUSIONS: The results of the study provide new evidence that the harmful health consequences of power imbalance and discriminatory practices may extend to children in early development. It also accentuates the need to study social determinants of health from both an ecological/contextual and a developmental angle. PRACTICE IMPLICATIONS: Echoing a plethora of nursing literature on the critical role of psycho-social pediatric care, this study further encourages pediatric nurses to expand their assessment and intervention priorities beyond a familial and developmental perspective, and to consider the evident physical health consequence of a child's overall social climate determinants.

The formation of right-handed and left-handed chiral nanopores within a single domain during amino acid self-assembly on Au(111).

We report the formation of both right- and left-handed chiral nanopores within a single domain during the self-assembly of an amino acid derivative on an inert Au(111) surface using STM. DFT calculations employed to rationalize this unusual result identified that intermolecular interactions between chiral, windmill-shaped tetramers are crucial for self-assembly.

Food Environments and Cardiovascular Disease: Evidence From the Health and Retirement Study.

INTRODUCTION: Residential food environments are one of the important determinants of cardiovascular health. However, past literature has been limited by short-term follow-ups, time-invariant environmental measurements at baseline, and/or not investigating both healthy and unhealthy aspects of the food environment. This study examines the effects of time-varying healthy and unhealthy food environments on incident cardiovascular disease (CVD) over 10 years, extracting data from the Health and Retirement Study (2006-2016; N=10,413). METHODS: Cox proportional hazards modeling was performed with inverse probability weighting to assess the association between time-varying food environmental measures (i.e., densities of grocery stores, supercenters/club stores, full-service restaurants, and fast-food restaurants) and incident CVD over 10 years. Education level and race/ethnicity were tested as potential moderators. Analyses were conducted in 2022-2023. RESULTS: Race/ethnicity had a significant interaction effect with supercenters/club stores and indicated that a 1-standard-deviation increase in the density of supercenters/club stores was associated with a 6%-8% lower risk of incident CVD in non-Hispanic Black (HR=0.78, 95% CI=0.70-0.87) and Hispanic older adults (HR=0.69, 95% CI=0.50-0.96), but not non-Hispanic White older adults. Additionally, education had a significant interaction effect with full-service restaurants, indicating that a 1-standard-deviation increase in the density of full-service restaurants was associated with a 10% lower risk of incident CVD in individuals with 13+ years of schooling, but not those with 0-12 years of schooling. CONCLUSIONS: Findings suggest that public policymakers should be aware of the benefits and nuances of varying food environment components as they can contribute to positive or negative cardiovascular health.

Neighborhood Diversity Is Good for Your Health: An Example of Racial/Ethnic Integration and Preterm Birth in Texas.

Racial concentration of neighborhoods is often associated with the risk of preterm birth (PTB) for women. This study examined differences between racially diverse and racially concentrated neighborhoods when examining preterm birth. Individual-level data were obtained from Texas natality files for 2009-2011, and neighborhood-level (i.e., census tract) data were obtained from the decennial census in 2010 and the American Community Survey 2005-2009. We used multilevel modeling to assess the association between neighborhood racial diversity and odds of PTB, after controlling for individual characteristics, neighborhood poverty, and population density. We found that neighborhood racial diversity and concentration matter for PTB. Results suggest that systemic racism is still key to understanding PTB. Furthermore, findings support policies that prevent displacement from gentrification of diverse neighborhoods and promote equal access to health-related resources for women in predominantly Black, Hispanic, and/or immigrant neighborhoods.