Racial Disparities in Mental Health Disorders in Youth with Chronic Medical Conditions.

OBJECTIVE: To evaluate the association between race/ethnicity, poverty, and mental health in youth with chronic conditions. STUDY DESIGN: A cross-sectional comparative study was performed using the records of a tertiary care center from 2011 to 2015. INCLUSION CRITERIA: children aged 4-17 years with ≥1 hospitalization or emergency department visit. Exclusion criteria were those with arrhythmias or treatment with clonidine/benzodiazepines. The primary outcome variable was diagnosis or medication for anxiety, depression, or attention deficit hyperactivity disorder. The primary predictor variable was diagnosis of cystic fibrosis (CF), sickle cell disease (SCD), or congenital heart disease (CHD). RESULTS: We identified 112 313 patients, 0.2% with CF, 0.4% with SCD, and 1.0% with CHD. Patients with CF had the highest prevalence (23%) and odds (OR, 4.21; 95% CI, 3.07-5.77) of anxiety or depression, whereas patients with SCD had the lowest prevalence (7%) and odds (OR, 1.54; 95% CI, 1.11-2.14). Those with CHD had a prevalence of up to 17%, with 3-4 times higher odds of anxiety or depression (OR, 3.70; 95% CI, 2.98-4.61). All non-White participants were less likely to be diagnosed or treated for anxiety or depression and attention deficit hyperactivity disorder. Although poverty increased the probability of anxiety or depression in patients with CHD, this finding was not seen in patients with CF or SCD. CONCLUSIONS: Children with CF, SCD, and CHD are at increased risk of anxiety or depression; however non-White patients are likely being underdiagnosed and undertreated. Increased screening and recognition in minority children are needed to decrease disparities in mental health outcomes.

Emergency Food Support Preference and Usage During COVID-19: A Neighborhood Study of Low-Income Black Mothers? Use of School-Based Food Distribution and P-EBT.

COVID-19 disrupted families' food supply. Based on in-depth interviews with 45 Black low-income mothers of young children in an underserved Houston, Texas, neighborhood from April 2020 to June 2021, we compared two aid programs-Pandemic Electronic Benefits Transfer cash assistance and in-kind food distributions. We found that mothers preferred cash assistance for boosting existing food strategies, while food distributions presented new challenges for already burdened families. We argue that food assistance interventions can be more successful and equitable by integrating service user context, needs, and preferences. (Am J Public Health. 2023;113(S3):S227-S230. https://doi.org/10.2105/AJPH.2023.307458).

Where Is Air Quality Improving, and Who Benefits? A Study of PM2.5 and Ozone Over 15 Years.

In the United States, concentrations of criteria air pollutants have declined in recent decades. Questions remain regarding whether improvements in air quality are equitably distributed across subpopulations. We assessed spatial variability and temporal trends in concentrations of particulate matter with an aerodynamic diameter ≤2.5 µm (PM2.5) and ozone (O3) across North Carolina from 2002-2016, and associations with community characteristics. Estimated daily PM2.5 and O3 concentrations at 2010 Census tracts were obtained from the Fused Air Quality Surface Using Downscaling archive and averaged to create tract-level annual PM2.5 and O3 estimates. We calculated tract-level measures of: racial isolation of non-Hispanic Black individuals, educational isolation of non-college educated individuals, the neighborhood deprivation index (NDI), and percentage of the population in urban areas. We fitted hierarchical Bayesian space-time models to estimate baseline concentrations of and time trends in PM2.5 and O3 for each tract, accounting for spatial between-tract correlation. Concentrations of PM2.5 and O3 declined by 6.4 µg/m3 and 13.5 ppb, respectively. Tracts with lower educational isolation and higher urbanicity had higher PM2.5 and more pronounced declines in PM2.5. Racial isolation was associated with higher PM2.5 but not with the rate of decline in PM2.5. Despite declines in pollutant concentrations, over time, disparities in exposure increased for racially and educationally isolated communities.

Residential Racial Isolation and Spatial Patterning of Type 2 Diabetes Mellitus in Durham, North Carolina.

Neighborhood characteristics such as racial segregation may be associated with type 2 diabetes mellitus, but studies have not examined these relationships using spatial models appropriate for geographically patterned health outcomes. We constructed a local, spatial index of racial isolation (RI) for black residents in a defined area, measuring the extent to which they are exposed only to one another, to estimate associations of diabetes with RI and examine how RI relates to spatial patterning in diabetes. We obtained electronic health records from 2007-2011 from the Duke Medicine Enterprise Data Warehouse. Patient data were linked to RI based on census block of residence. We used aspatial and spatial Bayesian models to assess spatial variation in diabetes and relationships with RI. Compared with spatial models with patient age and sex, residual geographic heterogeneity in diabetes in spatial models that also included RI was 29% and 24% lower for non-Hispanic white and black residents, respectively. A 0.20-unit increase in RI was associated with an increased risk of diabetes for white (risk ratio = 1.24, 95% credible interval: 1.17, 1.31) and black (risk ratio = 1.07, 95% credible interval: 1.05, 1.10) residents. Improved understanding of neighborhood characteristics associated with diabetes can inform development of policy interventions.

Neighborhood and Social Environmental Influences on Child Chronic Disease Prevalence.

We investigate how distinct residential environments uniquely influence chronic child disease. Aggregating over 200,000 pediatric geocoded medical records to the census tract of residence and linking them to neighborhood-level measures, we use multiple data analysis techniques to assess how heterogeneous exposures of social and environmental neighborhood conditions influence an index of child chronic disease (CCD) prevalence for the neighborhood. We find there is a graded relationship between degree of overall neighborhood disadvantage and children's chronic disease such that the highest neighborhood CCD scores reside in communities with the highest concentrated disadvantage. Finally, results show that higher levels of neighborhood concentrated disadvantage and air pollution exposure associate with higher risks of having at least one chronic condition for children after also considering their individual- and family-level characteristics. Overall, our analysis serves as a comprehensive start for future researchers interested in assessing which neighborhood factors matter most for child chronic health conditions.

Acculturation and weight change in Asian-American children: Evidence from the ECLS-K:2011.

Despite relatively low rates of overweight and obesity among Asian-American children, disparities exist based on acculturation, socioeconomic status, and Asian ethnicity. The purpose of this study was to examine the association between acculturation and weight change in Asian-American children. Secondary aims were to compare changes by Asian ethnic group and acculturation x socioeconomic status. Participants included 1200 Asian-American children from the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11, a longitudinal study of U.S. children attending kindergarten in 2010-2011. Multinomial logistic regressions were conducted to predict weight change based on body mass indices in kindergarten (spring 2011) and second grade (spring 2013): consistently healthy weight, consistently overweight/obese, healthy weight change, and unhealthy weight change. Models included demographic, household, socioeconomic status, and acculturation measures, specifically mother's English proficiency and percentage of life spent in the U.S. Overall, 72.3% of children were at healthy weights in kindergarten and second grade. Of all Asian ethnic groups, Filipino children had the highest rate of being consistently overweight/obese (24.8%) and the lowest rate of being consistently healthy weight (62.9%). In addition, mother's English proficiency predicted unhealthy weight change (OR: 0.83; 95% CI: 0.75-0.92) and healthy weight change (OR: 0.75; 95% CI: 0.65-0.86), relative to "consistently healthy weight." English proficiency also predicted being consistently overweight/obese for children with less educated mothers. Findings enhance our understanding of obesity disparities within Asian Americans and highlight the need to disaggregate the population. Obesity interventions are needed for Filipino children and families with low socioeconomic status but high English proficiency.

Comprehensive Neighborhood Portraits and Child Asthma Disparities.

Objectives Previous research has established links between child, family, and neighborhood disadvantages and child asthma. We add to this literature by first characterizing neighborhoods in Houston, TX by demographic, economic, and air quality characteristics to establish differences in pediatric asthma diagnoses across neighborhoods. Second, we identify the relative risk of social, economic, and environmental risk factors for child asthma diagnoses. Methods We geocoded and linked electronic pediatric medical records to neighborhood-level social and economic indicators. Using latent profile modeling techniques, we identified Advantaged, Middle-class, and Disadvantaged neighborhoods. We then used a modified version of the Blinder-Oaxaca regression decomposition method to examine differences in asthma diagnoses across children in these different neighborhoods. Results Both compositional (the characteristics of the children and the ambient air quality in the neighborhood) and associational (the relationship between child and air quality characteristics and asthma) differences within the distinctive neighborhood contexts influence asthma outcomes. For example, unequal exposure to PM2.5 and O3 among children in Disadvantaged and Middle-class neighborhoods contribute to asthma diagnosis disparities within these contexts. For children in Disadvantaged and Advantaged neighborhoods, associational differences between racial/ethnic and socioeconomic characteristics and asthma diagnoses explain a significant proportion of the gap. Conclusions for Practice Our results provide evidence that differential exposure to pollution and protective factors associated with non-Hispanic White children and children from affluent families contribute to asthma disparities between neighborhoods. Future researchers should consider social and racial inequalities as more proximate drivers, not merely as associated, with asthma disparities in children.

Family poverty and neighborhood poverty: Links with children's school readiness before and after the Great Recession.

This paper examines how neighborhood and family poverty predict children's academic skills and classroom behavior at school entry, and whether associations have changed over a period of twelve years spanning the Great Recession. Utilizing the Early Childhood Longitudinal Study-Kindergarten 1998 and 2010 cohorts and combined with data from the U.S. Census and American Community Survey, we find that the proportion of kindergarten children living in moderate and high poverty neighborhoods increased from 1998 to 2010, and that these increases were most pronounced for non-poor and white children. Using OLS and fixed effects regression analyses and holding family poverty constant, we find that children in neighborhoods with higher levels of poverty start school less ready to learn than their peers. Specifically, children from the highest poverty neighborhoods start school almost a year behind children from the lowest poverty neighborhoods in terms of their academic skills. In addition, we find that the academic skills gap between poor- and non-poor children within neighborhood poverty categories grew from 1998 to 2010, particularly in high poverty neighborhoods. These findings appear to be explained both by changes in the composition of families within neighborhood poverty categories and income increases among non-poor families. The findings indicate that neighborhood poverty may be a useful proxy to identify children and families in need of additional support.

Obesity status trajectory groups among elementary school children.

BACKGROUND: Little is known about patterns in the transition from healthy weight to overweight or obesity during the elementary school years. This study examined whether there were distinct body mass index (BMI) trajectory groups among elementary school children, and predictors of trajectory group membership. METHODS: This is a secondary analysis of 1651 elementary school children with complete biannual longitudinal data from kindergarten to the beginning of 5(th) grade. Heights and weights were measured by trained school nurses using standard procedures at the beginning and end of each school year for 11 consecutive assessments. Group-based trajectory clustering and multinomial logit modeling were conducted. RESULTS: When using BMIz score, six trajectory groups were identified revealing substantial consistency in BMIz score across time. When using a categorical variable separating overweight/obese children (BMI ≥ 85%ile) from the rest, five developmental trajectories (persistently non-overweight/obese weight: 51.1 %; early-onset overweight/obese: 9.2 %; late-onset overweight/obese: 9.7 %; becoming healthy weight: 8.2 %; and chronically overweight/obese: 21.8 %) were identified. When using a categorical variable separating obese children (BMI ≥ 95%ile) from the rest, three trajectories (persistently non-obese: 74.1 %, becoming obese: 12.8 %; and chronically obese: 13.2 %) were identified. For both cutoffs (≥ BMI percentile 85 % or 95 %), girls were more likely than boys to be classified in the persistently non-overweight and/or obese group (odds ratios (OR) ranged from 0.53 to 0.67); and Hispanic children and non-Hispanic Black children were more likely to be chronically overweight and/or obese than non-Hispanic White children (OR ranged from 1.57 to 2.44). Hispanic children were also more likely to become obese (OR: 1.84) than non-Hispanic White children when ≥ BMI percentile 95 % was used. CONCLUSIONS: Boys, Hispanic and non-Hispanic Black children were at higher risk of being overweight or obese throughout their elementary school years, supporting the need for obesity treatment. Post kindergarten and post second grade summer months were times when some children transitioned into overweight/obesity. It will be important to identify which behavioral factors (e.g., diet, physical activity, sedentary behaviors, and/or sleep) predisposed children to becoming overweight/obese, and whether these factors differ by time (Kindergarten versus second grade). If behavioral predisposing factors could be identified early, targeted obesity prevention should be offered.

Assessing community-level exposure to social vulnerability and isolation: spatial patterning and urban-rural differences.

BACKGROUND: Environmental health disparity research involves the use of metrics to assess exposure to community-level vulnerabilities or inequities. While numerous vulnerability indices have been developed, there is no agreement on standardization or appropriate use, they have largely been applied in urban areas, and their interpretation and utility likely vary across different geographies. OBJECTIVE: We evaluated the spatial distribution, variability, and relationships among different metrics of social vulnerability and isolation across urban and rural settings to inform interpretation and selection of metrics for environmental disparity research. METHODS: For all census tracts in North Carolina, we conducted a principal components analysis using 23 socioeconomic/demographic variables from the 2010 United States Census and American Community Survey. We calculated or obtained the neighborhood deprivation index (NDI), residential racial isolation index (RI), educational isolation index (EI), Gini coefficient, and social vulnerability index (SVI). Statistical analyses included Moran's I for spatial clustering, t-tests for urban-rural differences, Pearson correlation coefficients, and changes in ranking of tracts across metrics. RESULTS: Social vulnerability metrics exhibited clear spatial patterning (Moran's I ≥ 0.30, p < 0.01). Greater educational isolation and more intense neighborhood deprivation was observed in rural areas and greater racial isolation in urban areas. Single-domain metrics were not highly correlated with each other (rho ≤ 0.36), while composite metrics (i.e., NDI, SVI, principal components analysis) were highly correlated (rho > 0.80). Composite metrics were more highly correlated with the racial isolation metric in urban (rho: 0.54-0.64) versus rural tracts (rho: 0.36-0.48). Census tract rankings changed considerably based on which metric was being applied. SIGNIFICANCE: High correlations between composite metrics within urban and rural tracts suggests they could be used interchangeably; single domain metrics cannot. Composite metrics capture different facets of vulnerabilities in urban and rural settings, and these complexities should be examined by researchers applying metrics to areas of diverse urban and rural forms.

Descriptive study of educated African American women successful at weight-loss maintenance through lifestyle changes.

BACKGROUND: Interventions to address obesity and weight loss maintenance among African Americans have yielded modest results. There is limited data on African Americans who have achieved successful long-term weight loss maintenance. OBJECTIVE: To identify a large sample of African American adults who intentionally achieved clinically significant weight loss of 10 %; to describe weight-loss and maintenance efforts of African Americans through a cross-sectional survey; to determine the feasibility of establishing a registry of African American adults who have successfully lost weight. DESIGN, SETTING, AND PARTICIPANTS: African American volunteers from the United States ≥ 18 years of age were invited to complete a cross-sectional survey about weight, weight-loss, weight-loss maintenance or regain. Participants were invited to submit contact information to be maintained in a secure registry. MAIN MEASURES: Percentage of participants who achieved long-term weight-loss maintenance reporting various dietary and physical activity strategies, motivations for and social-cognitive influences on weight loss and maintenance, current eating patterns, and self-monitoring practices compared to African Americans who lost weight but regained it. Participants also completed the Short International Physical Activity Questionnaire. KEY RESULTS: Of 3,414 individuals screened, 1,280 were eligible and completed surveys. Ninety-percent were women. This descriptive analysis includes 1,110 women who lost weight through non-surgical means. Over 90 % of respondents had at least some college education. Twenty-eight percent of respondents were weight-loss maintainers. Maintainers lost an average of 24 % of their body weight and had maintained ≥ 10 % weight loss for an average of 5.1 years. Maintainers were more likely to limit their fat intake, eat breakfast most days of the week, avoid fast food restaurants, engage in moderate to high levels of physical activity, and use a scale to monitor their weight. CONCLUSIONS: Influences and practices differ among educated African American women who maintain weight loss compared to those who regain it.

Neighborhoods matter; but for whom? Heterogeneity of neighborhood disadvantage on child obesity by sex.

Although evidence suggests that neighborhood context, particularly socioeconomic context, influences child obesity, little is known about how these neighborhood factors may be heterogeneous rather than monolithic. Using a novel dataset comprised of the electronic medical records for over 250,000 children aged 2-17 nested within 992 neighborhoods in the greater Houston area, we assessed whether neighborhoods influenced the obesity of children differently based on sex. Results indicated that neighborhood disadvantage, assessed using a comprehensive, multidimensional, latent profile analysis-generated measure, had a strong, positive association with the odds of obesity for both boys and girls. Interactions revealed that the relationship between disadvantage and obesity was stronger for girls, relative to boys. Our findings demonstrated the complex dynamics underlying the influence of residential neighborhood context on obesity for specific subgroups of children.

Mental Health Disorders in Children With Congenital Heart Disease.

BACKGROUND: Data on anxiety, depression, and attention-deficit/hyperactivity disorder (ADHD) are lacking for youth with congenital heart disease (CHD), particularly those with simple CHD. This study aims to characterize these disorders in youth with CHD compared to those without CHD. METHODS: A comparative cross-sectional study was conducted by using the electronic medical records of a large tertiary care hospital between 2011 and 2016. Inclusion criteria were youth aged 4 to 17 years with >1 hospitalization or emergency department visits. Exclusion criteria were patients with arrhythmias or treatment with clonidine and/or benzodiazepines. The primary predictor variable was CHD type: simple, complex nonsingle ventricle, and complex single ventricle. The primary outcome variable was a diagnosis and/or medication for anxiety and/or depression or ADHD. Data were analyzed by using logistic regression (Stata v15; Stata Corp, College Station, TX). RESULTS: We identified 118 785 patients, 1164 with CHD. Overall, 18.2% (n = 212) of patients with CHD had a diagnosis or medication for anxiety or depression, compared with 5.2% (n = 6088) of those without CHD. All youth with CHD had significantly higher odds of anxiety and/or depression or ADHD. Children aged 4 to 9 years with simple CHD had ∼5 times higher odds (odds ratio: 5.23; 95% confidence interval: 3.87-7.07) and those with complex single ventricle CHD had ∼7 times higher odds (odds ratio: 7.46; 95% confidence interval: 3.70-15.07) of diagnosis or treatment for anxiety and/or depression. Minority and uninsured youth were significantly less likely to be diagnosed or treated for anxiety and/or depression or ADHD, regardless of disease severity. CONCLUSIONS: Youth with CHD of all severities have significantly higher odds of anxiety and/or depression and ADHD compared to those without CHD. Screening for these conditions should be considered in all patients with CHD.

Socioeconomic gradients in health for white and Mexican-origin populations.

OBJECTIVES: We assessed whether the few findings to date suggesting weak relationships between education and health-related variables among Hispanics are indicative of a more widespread pattern. METHODS: We used logistic regression models to examine education differentials (i.e., education gradients) in health behaviors and outcomes among White and Mexican-origin adults, adolescents, and infants. We gathered information from 3 data sets: the Los Angeles Family and Neighborhood Survey, the Fragile Families and Child Wellbeing Study, and the National Health Interview Survey. RESULTS: In contrast with patterns for Whites, education was weakly associated or not associated with numerous health-related variables among the US Mexican-origin population. Among adults, Mexican immigrants were especially likely to have weaker education gradients than Whites. CONCLUSIONS: The weak relationships between education and health observed among individuals of Mexican origin may have been the result of several complex mechanisms: social gradients in health in Mexico that differ from those in the United States, selective immigration according to health and socioeconomic status, and particular patterns of integration of Mexican immigrants into US society.

Multiple contexts of exposure: Activity spaces, residential neighborhoods, and self-rated health.

Although health researchers have made progress in detecting place effects on health, existing work has largely focused on the local residential neighborhood and has lacked a temporal dimension. Little research has integrated both time and space to understand how exposure to multiple contexts - where adults live, work, shop, worship, and seek healthcare - influence and shape health and well-being. This study uses novel longitudinal data from the Los Angeles Family and Neighborhood Survey to delve deeper into the relationship between context and health by considering residential and activity space neighborhoods weighted by the amount of time spent in these contexts. Results from multilevel cross-classified logistic models indicate that contextual exposure to disadvantage, residential or non-residential, is independently associated with a higher likelihood of reporting poor or fair health. We also find support for a contextual incongruence hypothesis. For example, adults living in the most disadvantaged neighborhoods are more likely to report poor or fair health when they spend time in more advantaged neighborhoods than in more disadvantaged ones, while residents of more advantaged neighborhoods report worse health when they spend time in more disadvantaged areas. Our results suggest that certain types of place-based cumulative exposures are associated with a sense of relative neighborhood deprivation that potentially manifests in worse health ratings.

Neighborhood social capital, parenting strain, and personal mastery among female primary caregivers of children.

Neighborhood social capital-resources inherent within community networks-has been identified as a potential facilitator of personal well-being. We test hypotheses concerning how neighborhood social capital moderates the influence of parenting strain on mastery (individuals' understanding of their ability to control personal life circumstances) for female primary caregivers of children. First, we test how different forms of neighborhood social capital-social support, social leverage (information exchange), informal social control, and neighborhood organization participation-modify the association between parenting strain and mastery. Second, we test whether such moderation depends on one's access to these forms via neighbor ties. Analyses of Los Angeles Family and Neighborhood Survey data (N = 765) indicate that the negative relationship between parenting strain and mastery worsens as informal social control increases. Social support and informal social control, however, buffer this parenting strain-mastery relationship when caregivers have stronger ties to neighbors. Our findings implicate mechanisms of "negative social capital" and warrant more nuanced considerations of neighborhood social capital's health-promoting potential.

Language proficiency and health status: are bilingual immigrants healthier?

Bilingual immigrants appear to have a health advantage, and identifying the mechanisms responsible for this is of increasing interest to scholars and policy makers in the United States. Utilizing the National Latino and Asian American Study (NLAAS; n = 3,264), we investigate the associations between English and native-language proficiency and usage and self-rated health for Asian and Latino U.S. immigrants from China, the Philippines, Vietnam, Mexico, Cuba, and Puerto Rico. The findings demonstrate that across immigrant ethnic groups, being bilingual is associated with better self-rated physical and mental health relative to being proficient in only English or only a native language, and moreover, these associations are partially mediated by socioeconomic status and family support but not by acculturation, stress and discrimination, or health access and behaviors.