Associations between Obesity, Obesogenic Environments, and Structural Racism Vary by County-Level Racial Composition

Weight Gain and Antiretroviral Therapy

Antiretroviral therapy (ART) agents as a determinant of body weight in ART-naïve and ART-experienced persons with human immunodeficiency virus (HIV) (PWH) has become a major focus area in research and clinical settings. Recent studies demonstrating weight-suppressing properties of efavirenz and tenofovir disoproxil fumarate led to re-evaluation of weight gain studies, and a reassessment of whether other agents are weight promoting versus weight neutral. In this review, the authors synthesize recent literature on factors related to obesity, clinical measurements of adiposity, weight gain in ART-naïve and ART-experienced PWH, metabolic consequences of ART and weight gain, and the clinical management of weight gain in PWH.

Projected Impact of Nonpharmacologic Management of Stage 1 Hypertension Among Lower-Risk US Adults

BACKGROUND

The 2017 American College of Cardiology/American Heart Association blood pressure guideline classified 31 million US adults as having stage 1 hypertension and recommended clinicians provide counseling on behavioral change to the low-risk portion of this group. However, nationwide reductions in cardiovascular disease (CVD) and associated health care expenditures achievable by nonpharmacologic therapy remain unquantified.

METHODS

We simulated interventions on a target population of US adults aged 35 to 64 years, identified from the 2015-2018 National Health and Nutrition Examination Survey, with low-risk stage 1 systolic hypertension: that is, untreated systolic blood pressure 130 to 139 mm Hg with diastolic BP <90 mm Hg; no history of CVD, diabetes, or chronic kidney disease; and a low 10-year risk of CVD. We used meta-analyses and trials to estimate the effects of population-level behavior modification on systolic blood pressure. We assessed the extent to which restricting intervention to those in regular contact with clinicians might prevent the delivery of nonpharmacologic therapy.

RESULTS

Controlling systolic blood pressure to <130 mm Hg among the 8.8 million low-risk US adults with stage 1 hypertension could prevent 26 100 CVD events, avoid 2900 deaths, and save $1.7 billion in total direct health care costs over 10 years. Adoption of the Dietary Approaches to Stop Hypertension diet could prevent 28 000 CVD events. Other nonpharmacologic interventions could avert between 3800 and 19 500 CVD events. However, only 51% of men and 75% of women regularly interacted with clinicians for counseling opportunities.

CONCLUSIONS

Among low-risk adults with stage 1 hypertension, substantial benefits to cardiovascular health could be achieved through public policy that promotes the adoption of nonpharmacologic therapy.

Assessing the Influence of Redlining on Intergenerational Wealth and Body Mass Index Through a Quasi-experimental Framework

BACKGROUND

Higher levels of body mass index (BMI), particularly for those who have obesity defined as class II and III, are correlated with excess risk of all-cause mortality in the USA, and these risks disproportionately affects marginalized communities impacted by systemic racism. Redlining, a form of structural racism, is a practice by which federal agencies and banks disincentivized mortgage investments in predominantly racialized minority neighborhoods, contributing to residential segregation. The extent to which redlining contributes to current-day wealth and health inequities, including obesity, through wealth pathways or limited access to health-promoting resources, remains unclear. Our quasi-experimental study aimed to investigate the generational impacts of redlining on wealth and body mass index (BMI) outcomes.

METHODS

We leveraged the Panel Study of Income Dynamics (PSID) and Home Owners' Loan Corporation (HOLC) maps to implement a geographical regression discontinuity design, where treatment assignment is randomly based on the boundary location of PSID grandparents in yellowlined vs. redlined areas and used outcome measures of wealth and mean BMI of grandchildren. To estimate our effects, we used a continuity-based approach and applied data-driven procedures to identify the most appropriate bandwidths for a valid estimation and inference.

RESULTS

In our fully adjusted model, grandchildren with grandparents living in redlined areas had lower average household wealth (β =  - $35,419; 95% CIrbc - $37,423, - $7615) and a notably elevated mean BMI (β = 7.47; 95% CIrbc - 4.00, 16.60), when compared to grandchildren whose grandparents resided in yellowlined regions.

CONCLUSION

Our research supports the idea that redlining, a historical policy rooted in structural racism, is a key factor contributing to disparities in wealth accumulation and, conceivably, body mass index across racial groups.

Opportunities for incorporating intersectionality into biomedical informatics

Many approaches in biomedical informatics (BMI) rely on the ability to define, gather, and manipulate biomedical data to support health through a cyclical research-practice lifecycle. Researchers within this field are often fortunate to work closely with healthcare and public health systems to influence data generation and capture and have access to a vast amount of biomedical data. Many informaticists also have the expertise to engage with stakeholders, develop new methods and applications, and influence policy. However, research and policy that explicitly seeks to address the systemic drivers of health would more effectively support health. Intersectionality is a theoretical framework that can facilitate such research. It holds that individual human experiences reflect larger socio-structural level systems of privilege and oppression, and cannot be truly understood if these systems are examined in isolation. Intersectionality explicitly accounts for the interrelated nature of systems of privilege and oppression, providing a lens through which to examine and challenge inequities. In this paper, we propose intersectionality as an intervention into how we conduct BMI research. We begin by discussing intersectionality's history and core principles as they apply to BMI. We then elaborate on the potential for intersectionality to stimulate BMI research. Specifically, we posit that our efforts in BMI to improve health should address intersectionality's five key considerations: (1) systems of privilege and oppression that shape health; (2) the interrelated nature of upstream health drivers; (3) the nuances of health outcomes within groups; (4) the problematic and power-laden nature of categories that we assign to people in research and in society; and (5) research to inform and support social change.

New insights into grocery store visits among east Los Angeles residents using mobility data

In this study, we employed spatially aggregated population mobility data, generated from mobile phone locations in 2021, to investigate patterns of grocery store visits among residents east and northeast of Downtown Los Angeles, in which 60% of the census tracts had previously been designated as "food deserts". Further, we examined whether the store visits varied with neighborhood sociodemographics and grocery store accessibility. We found that residents averaged 0.4 trips to grocery stores per week, with only 13% of these visits within home census tracts, and 40% within home and neighboring census tracts. The mean distance from home to grocery stores was 2.2 miles. We found that people visited grocery stores more frequently when they lived in neighborhoods with higher percentages of Hispanics/Latinos, renters and foreign-born residents, and a greater number of grocery stores. This research highlights the utility of mobility data in elucidating grocery store use, and factors that may facilitate or be a barrier to store access. The results point to limitations of using geographically constrained metrics of food access like food deserts.

Using the lens of trauma informed care to inform pediatric obesity management

PURPOSE OF REVIEW

Summarize the evolution of the trauma-informed care (TIC) approach in pediatrics, highlight the importance of using this lens in pediatric obesity management and treating the whole patient and family, and suggest recommendations for providers to incorporate TIC into their practice.

RECENT FINDINGS

Implementing TIC in pediatric obesity management is recommended and offers an approach to address trauma-related symptoms associated with obesity. The TIC framework creates a safe, nurturing space to have open conversations with patients and families to promote resilience and reduce stigma related to obesity without re-traumatization. Screening tools may expose symptoms related to trauma, but are limited. Provider training is available and development of TIC related skills may be improved through using the arts and humanities. Success of TIC requires a tailored, integrated healthcare system approach with commitment from all levels.

SUMMARY

The TIC approach offers providers skills to uncover trauma-related symptoms and address obesity-related health disparities while reducing stigma. Collaboration across all levels of the healthcare system and community partners is essential. Further research is warranted on the effectives of this approach in pediatric obesity prevention and management.

Projected Impact of Nonpharmacologic Management of Stage 1 Hypertension Among Lower-Risk US Adults

Background

The 2017 American College of Cardiology (ACC)/American Heart Association (AHA) guidelines newly classified 31 million US adults as having stage 1 hypertension. The ACC/AHA guidelines recommend behavioral change without pharmacology for the low-risk portion of this group. However, the nationwide reduction in cardiovascular disease (CVD) and associated healthcare expenditures achievable by evidence-based dietary improvements, sustained weight loss, adequate physical activity, and alcohol moderation remain unquantified. We estimated the effect of systolic BP (SBP) control and behavioral changes on 10-year CVD outcomes and costs.

Methods

We used the CVD Policy Model to simulate CVD events, mortality, and healthcare costs among US adults aged 35-64. We simulated interventions on a target population, identified from the 2015-2018 National Health and Nutrition Examination Survey, with low-risk stage 1 systolic hypertension: defined as untreated SBP 130-139 mmHg and diastolic BP <90 mmHg; no history of CVD, diabetes, or chronic kidney disease; and low 10-year risk of CVD. We used published meta-analyses and trials to estimate the effects of behavior modification on SBP. We assessed the extent to which intermittent healthcare utilization or partial uptake of nonpharmacologic therapy would decrease CVD events prevented.

Results

Controlling SBP to <130 mmHg among the estimated 8.8 million U.S. adults (51% women) in the target population could prevent 26,100 CVD events, avoid 2,900 deaths, and save $1.6 billion in healthcare costs over 10 years. The Dietary Approaches to Stop Hypertension (DASH) diet could prevent 16,000 CVD events among men and 12,000 among women over a decade. Other nonpharmacologic interventions could avert between 3,700 and 19,500 CVD events. However, only 5.5 million (61%) of the target population regularly utilized healthcare where recommended clinician counseling could occur.

Conclusions

As only two-thirds of U.S. adults with Stage 1 hypertension regularly receive medical care, substantial benefits to cardiovascular health and associated costs may only stem from policies that promote widespread adoption and sustained adherence of nonpharmacologic therapy. Future work should quantify the population-level costs, benefits, and efficacy of improving the food system and local infrastructure on health behavior change.

Measuring Structural Racism and Its Association with Racial Disparities in Firearm Homicide

INTRODUCTION

Structural racism is strongly related to racial health disparities. However, surprisingly few studies have developed empirical tools to measure structural racism. In addition, the few measures that have been employed have only considered structural racism at the neighborhood level. To expand upon previous studies, this paper uses a novel measure to measure structural racism at the county level for the non-Hispanic Black population.

METHODS

We used confirmatory factor analysis to create a model to measure the latent construct of structural racism for 1181 US counties. The model included five indicators across five dimensions: racial segregation, incarceration, educational attainment, employment, and economic status/wealth. Structural equation modeling and factor analysis were used to generate factor scores that weighted the indicators in order to produce the best model fit. The resulting factor scores represented the level of structural racism in each county. We demonstrated the utility of this measure by demonstrating its strong correlation with Black-White disparities in firearm homicide rates.

RESULTS

Our calculations revealed striking geographic differences across counties in the magnitude of structural racism, with the highest values generally being observed in the Midwest and Northeast. Structural racism was significantly associated with higher Black firearm homicide rates, lower White homicide rates, and a higher Black-White racial disparity in firearm homicide.

CONCLUSIONS

These new measures can be utilized by researchers to relate structural racism to racial health disparities at the county level.

African Americans' perceptions of nutrition interventions: a scoping review

Nutrition education and policy, systems and environmental (PSE) change interventions may be able to address food insecurity and obesity, conditions which are disproportionately experienced by African Americans. Work that seeks to address these disparities and advance social justice should uplift and learn from participant voices, particularly from marginalised groups. This scoping review aimed to summarise the available literature describing African Americans' perceptions of and experiences participating in nutrition interventions. We conducted an electronic literature search with the assistance of a research librarian which encompassed six databases (MEDLINE, PyscINFO, Agricola, ERIC, SocINDEX and ProQuest Dissertations & Theses) and identified thirty-five sources meeting our inclusion criteria. The majority of studies assessing African Americans' satisfaction with interventions examined educational interventions alone, and about half of the included studies assessed satisfaction through quantitative methods alone. The only studies which found participants to be dissatisfied with interventions used qualitative methods and examined interventions providing education alone. Future work should evaluate African Americans' experience with nutrition-focused PSE changes, interventions which may be better able to address racial disparities in obesity and food insecurity. Nutrition educators working with African Americans should also consider evaluating future interventions using qualitative inquiry, to obtain an in-depth understanding of participant experiences with interventions.

Early life socioeconomic position contributes to adult obesity independent of adult socioeconomic factors: Findings from the sister study cohort

Low socioeconomic position (SEP) has been associated with obesity within life stages; however, life course SEP may also alter downstream obesity risk. Research is needed to understand the impact of childhood SEP, independent of adult SEP, as well as SEP trajectories over the life course on adult obesity risk. We use data from the Sister Study, a prospective U.S. cohort of women aged 35-74 years (N = 50,884; enrollment: 2003-2009). Relative risks (RR) for adult obesity associated with childhood SEP (latent variable) and five latent life course SEP profiles were estimated in overall and race and ethnicity-stratified log binomial regression models. We estimated the direct effect of childhood SEP on adult obesity and mediation by adult SEP. Lower childhood SEP was associated with greater obesity risk (RR = 1.16, 95% CI: 1.15-1.17). In stratified models, RRs were elevated across groups though lower for Black and Hispanic/Latina participants, despite greater prevalence of obesity among Black participants. The direct effect of childhood SEP on adult obesity persisted in mediation models independent of adult SEP (RR = 1.10, 95% CI: 1.08-1.12) with adult SEP mediating approximately 40% of the total effect of childhood SEP on adult obesity. Furthermore, adult obesity risk was elevated for all life course SEP profiles compared to persistent high advantage. Life course SEP profiles indicating greater advantage in adulthood than childhood were not associated with reduced adult obesity risk among those experiencing less than high advantage in childhood. In conclusion, lower childhood SEP, independent of adult SEP, may be an important risk factor for adult obesity.

Structural Racism and Adverse Pregnancy Outcomes Through the Lens of the Maternal Microbiome

Microbiome science offers a glimpse into personalized medicine by characterizing health and disease states according to an individual's microbial signatures. Without a critical examination of the use of race as a variable, microbiome studies may be susceptible to the same pitfalls as other areas of science grounded in racist biology. We will examine the use of race as a biological variable in pregnancy-related microbiome research. Emerging data from studies that investigate the intestinal microbiome in pregnancy suggest strong influence of a poor diet on adverse pregnancy outcomes. Differences in the vaginal microbiome implicated in adverse pregnancy outcomes are frequently attributed to race. We review evidence that links systemic racism to pregnancy health outcome differences with a focus on the vaginal and intestinal microbiomes as well as diet. We also review how structural racism ultimately contributes to inequitable access to healthy food and higher risk environmental exposures among pregnant people of lower socioeconomic status and exacerbates common pregnancy comorbidities.

Geographic differences in the magnitude of black-white disparities in having obesity

Background

Obesity disparities in the United States are well documented, but the limited body of research suggests that geographic factors may alter the magnitude of these disparities. A growing body of evidence has identified a "rural mortality penalty" where morbidity and mortality rates are higher in rural than urban areas, even after controlling for other factors. Black-White differences in health and mortality are more pronounced in rural areas than in urban areas.

Objective

Therefore, the purpose of this study was to explore how rural-urban status and region moderate Black-White health disparities in obesity.

Methods

Data were abstracted from the 2012 Behavioral Risk Factor Surveillance System, with the sample being restricted to Black and White respondents (n = 403,231). Respondents' county of residence was linked to US Census information to obtain the county-level Index of Relative Rurality (IRR) and Census division. Crude and adjusted logistic regression models were utilized to assess the magnitude of Black-White disparities in having obesity (yes/no) by IRR quartile and by Census division.

Results

Overall, Black-White differences in obesity were wider in rural than in urban counties, with a significant linear trend (p < 0.001). Furthermore, when stratified by US Census division, results revealed that disparities were significantly wider in rural than urban areas for respondents living in the Middle Atlantic and South Atlantic divisions. In contrast, the association was reversed for the remaining divisions (New England, East North Central, West North Central, Mountain, and Pacific), where the magnitude of the Black-White difference was the largest in urban areas.

Conclusion

Findings highlight the need to understand and account for critical place-based factors that exacerbate racial obesity disparities to develop and maximize the effectiveness of policies and programs designed to reduce racial inequalities and improve population health.

Does Operative Time Modify Obesity-related Outcomes in THA?

BACKGROUND

Most orthopaedic surgeons refuse to perform arthroplasty on patients with morbid obesity, citing the higher rate of postoperative complications. However, that recommendation does not account for the relationship of operative time (which is often longer in patients with obesity) to obesity-related arthroplasty outcomes, such as readmission, reoperation, and postoperative complications. If operative time is associated with these obesity-related outcomes, it should be accounted for and addressed to properly assess the risk of patients with obesity undergoing THA.

QUESTIONS/PURPOSES

We therefore asked: (1) Is the increased risk seen in overweight and obese patients, compared with patients in a normal BMI class, associated with increased operative time? (2) Is increased operative time independent of BMI class a risk factor for readmission, reoperation, and postoperative medical complications? (3) Does operative time modify the direction or strength of obesity-related adverse outcomes?

METHODS

This retrospective, comparative study examined 247,108 patients who underwent THA between January 2014 and December 2020 in the National Surgical Quality Improvement Project (NSQIP). Of those, emergency cases (1% [2404]), bilateral procedures (1% [1605]), missing and/or null data (1% [3280]), extreme BMI and operative time outliers (1% [2032]), and patients with comorbidities that are not typical of an elective procedure, such as disseminated cancer, open wounds, sepsis, and ventilator dependence (1% [2726]), were excluded, leaving 95% (235,061) of elective, unilateral THA cases for analysis. The NSQIP was selected due to its inclusion of operative time, which is not found in any other national database. BMI was subdivided into underweight, normal weight, overweight, Class I obesity, Class II obesity, and Class III obesity. Of the patients with a normal weight, 69% (30,932 of 44,556) were female and 36% (16,032 of 44,556) had at least one comorbidity, with a mean operative time of 86 ± 32 minutes and a mean age of 68 ± 12 years. Patients with obesity tend to be younger, male, more likely to have preoperative comorbidities, with longer operative times. Multivariable logistic regression models examined the effects of obesity on 30-day readmission, reoperation, and medical complications, while adjusting for age, sex, race, smoking status, and number of preoperative comorbidities. After we repeated this analysis after adjusting for operative time, an interaction model was conducted to test whether operative time changes the direction or strength of the association of BMI class and adverse outcomes. Adjusted odds ratios (AOR) and 95% confidence intervals (CIs) were calculated, and the interaction effects were plotted.

RESULTS

A comparison of patients with Class III obesity to patients with normal weight showed that the odds of readmission went from 45% (AOR 1.45 [95% CI 1.32 to 1.59]; p < 0.001) to 27% after adjusting for operative time (AOR 1.27 [95% CI 1.01 to 1.62]; p = 0.04), the odds of reoperation went from 93% (AOR 1.93 [95% CI 1.72 to 2.17]; p < 0.001) to 81% after adjusting for operative time (AOR 1.81 [95% CI 1.61 to 2.04]; p < 0.001), and the odds of a postoperative complication went from 96% (AOR 1.96 [95% CI 1.58 to 2.43]; p < 0.001) to 84% after adjusting for operative time (AOR 1.84 [95% CI 1.48 to 2.28]; p < 0.001). Each 15-minute increase in operative time was associated with a 7% increase in the odds of a readmission (AOR 1.07 [95% CI 1.06 to 1.08]; p < 0.001), a 10% increase in the odds of a reoperation (AOR 1.10 [95% CI 1.09 to 1.12]; p < 0.001), and 10% increase in the odds of a postoperative complication (AOR 1.10 [95% CI 1.08 to 1.13]; p < 0.001). There was a positive interaction effect of operative time and BMI for readmission and reoperation, which suggests that longer operations accentuate the risk that patients with obesity have for readmission and reoperation.

CONCLUSION

Operative time is likely a proxy for surgical complexity and contributes modestly to the adverse outcomes previously attributed to obesity alone. Hence, focusing on modulating the accentuated risk associated with lengthened operative times rather than obesity is imperative to increasing the accessibility and safety of THA. Surgeons may do this with specific surgical techniques, training, and practice. Future studies looking at THA outcomes related to obesity should consider the association with operative time to focus on independent associations with obesity to facilitate more equitable access.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Structural racism and geographic access to food retailers in the United States: A scoping review

This scoping review summarized findings and key measures from U.S.-based studies that 1) examined associations between geographic indicators of structural racism (e.g., redlining, racial segregation) and access to food retailers (e.g., supermarkets, convenience stores) or 2) documented disparities in access by neighborhood racial/ethnic composition. In 2022, relevant scientific literature was reviewed using Covidence software. Independent reviewers examined 13,069 citations; 163 citations advanced to the full-text review stage and 70 were selected for inclusion. Twenty-one studies (30%) linked one or more indicator of structural racism to food retailer access while 49 (70%) solely examined differences in access by neighborhood racial/ethnic composition. All studies featuring indicators of structural racism reported significant findings; however, indicators varied across studies making it difficult to make direct comparisons. Key indicators of structural racism in the food access literature included redlining (n = 3), gentrification (n = 3), and racial segregation (n = 4). Many U.S.-based studies have evaluated food retailer access by neighborhood racial/ethnic composition. Moving forward, studies should model indicators of structural racism and determine their influence on geographic access to large and small food retailers.

Embedded racism: Inequitable niche construction as a neglected evolutionary process affecting health

Racial health disparities are a pervasive feature of modern experience and structural racism is increasingly recognized as a public health crisis. Yet evolutionary medicine has not adequately addressed the racialization of health and disease, particularly the systematic embedding of social biases in biological processes leading to disparate health outcomes delineated by socially defined race. In contrast to the sheer dominance of medical publications which still assume genetic 'race' and omit mention of its social construction, we present an alternative biological framework of racialized health. We explore the unifying evolutionary-ecological principle of niche construction as it offers critical insights on internal and external biological and behavioral feedback processes environments at every level of the organization. We Integrate insights of niche construction theory in the context of human evolutionary and social history and phenotype-genotype modification, exposing the extent to which racism is an evolutionary mismatch underlying inequitable disparities in disease. We then apply ecological models of niche exclusion and exploitation to institutional and interpersonal racial constructions of population and individual health and demonstrate how discriminatory processes of health and harm apply to evolutionarily relevant disease classes and life-history processes in which socially defined race is poorly understood and evaluated. Ultimately, we call for evolutionary and biomedical scholars to recognize the salience of racism as a pathogenic process biasing health outcomes studied across disciplines and to redress the neglect of focus on research and application related to this crucial issue.

Obesity as a Main Threat to Future Improvements in Population Health: Policy Opportunities and Challenges

Policy Points Obesity has emerged as a main threat to future improvements in population health, and there is little evidence that the epidemic is retreating. The traditional model of "calories in, calories out," which has guided public health policy for decades, is increasingly viewed as far too simple a framing to explain the evolution of the epidemic or guide public policy. Advances in the science of obesity, coming from many fields, highlight the structural nature of the risk, which has provided an evidence base to justify and guide policies toward addressing the social and environmental drivers of obesity. Societies and researchers need to play the long game in that widespread reductions in obesity in the short run are unlikely. Nonetheless, there are opportunities. Policies specifically targeting the food environment such as taxing high-calorie beverages and foods, restricting the marketing of junk foods to children, enhancing food labeling, and improving the dietary environment at schools may yield long-run benefits.

Building effective intervention models utilizing big data to prevent the obesity epidemic

INTRODUCTION

The exposome consists of factors an individual is exposed to across the life course. The exposome is dynamic, meaning the factors are constantly changing, affecting each other and individuals in different ways. Our exposome dataset includes social determinants of health as well as policy, climate, environment, and economic factors that could impact obesity development. The objective was to translate spatial exposure to these factors with the presence of obesity into actionable population-based constructs that could be further explored.

METHODS

Our dataset was constructed from a combination of public-use datasets and the Center of Disease Control's Compressed Mortality File. Spatial Statistics using Queens First Order Analysis was performed to identify hot- and cold-spots of obesity prevalence; followed by Graph Analysis, Relational Analysis, and Exploratory Factor Analysis to model the multifactorial spatial connections.

RESULTS

Areas of high and low presence of obesity had different factors associated with obesity. Factors associated with obesity in areas of high obesity propensity were: poverty / unemployment; workload, comorbid conditions (diabetes, CVD) and physical activity. Conversely, factors associated in areas where obesity was rare were: smoking, lower education, poorer mental health, lower elevations, and heat.

DISCUSSION

The spatial methods described within the paper are scalable to large numbers of variables without issues of multiple comparisons lowering resolution. These types of spatial structural methods provide insights into novel variable associations or factor interactions that can then be studied further at the population or policy levels.

The relationship between state-level structural racism and disparities between the non-hispanic black and non-hispanic white populations in multiple health outcomes

AIMS

While several studies have examined the impact of individual indicators of structural racism on single health outcomes, few have explicitly modeled racial disparities in a wide range of health outcomes using a multidimensional, composite structural racism index. This paper builds on the previous research by examining the relationship between state-level structural racism and a wider array of health outcomes, focusing on racial disparities in mortality from firearm homicide, infant mortality, stroke, diabetes, hypertension, asthma, HIV, obesity, and kidney disease.

METHODS

We used a previously developed state structural racism index that consists of a composite score derived by averaging eight indicators across five domains: (1) residential segregation; (2) incarceration; (3) employment; (4) economic status/wealth; and (5) education. Indicators were obtained for each of the 50 states using Census data from 2020. We estimated the Black-White disparity in each health outcome in each state by dividing the age-adjusted mortality rate for the non-Hispanic Black population by the age-adjusted mortality rate for the non-Hispanic White population. These rates were obtained from the CDC WONDER Multiple Cause of Death database for the combined years 1999-2020. We conducted linear regression analyses to examine the relationship between the state structural racism index and the Black-White disparity in each health outcome across the states. In multiple regression analyses, we controlled for a wide range of potential confounding variables.

RESULTS

Our calculations revealed striking geographic differences in the magnitude of structural racism, with the highest values generally being observed in the Midwest and Northeast. Higher levels of structural racism were significantly associated with greater racial disparities in mortality for all but two of the health outcomes.

CONCLUSIONS

There is a robust relationship between structural racism and Black-White disparities in multiple health outcomes across states. Programs and policies to reduce racial heath disparities must include strategies to help dismantle structural racism and its consequences.

Predictors of Overweight and Obesity in Early Care and Education Teachers during COVID-19

The purpose of this cross-sectional study was to determine individual, sociocultural, policy, and economic predictors of overweight/obesity in early care and education (ECE) teachers to identify modifiable opportunities to enhance the health of this critical workforce. ECE teachers (n = 1434) in the U.S. completed an online survey in late spring to mid-summer 2020. Teachers self-reported height and weight; body mass index (BMI) and weight status were calculated. Teachers reported micro-environment variables including age, race, gender, obesogenic lifestyle behaviors, well-being, food security, personal health, stress, job stress, type of ECE, COVID-19 teaching modality, and age of children in the classroom. Logistic regression predicting overweight/obesity and linear regression predicting BMI were conducted. Teachers with more years of teaching experience (OR: 1.022: 95% CI 1.005, 1.039) and higher consumption of fast food (2.038: 1.310, 3.169) had higher odds of overweight/obesity. Teachers with higher levels of education (0.58: 0.407, 0.828) and higher physical health (0.836: 0.775, 0.902) had lower odds of overweight/obesity. Other variables were not associated with overweight/obesity. Variables significant in logistic regression were also associated with higher BMI. Additionally, Native American race (β = 2.467 SE = 1.206) and sedentary hours/day (β = 0.152 SE = 0.075) were associated with higher BMI. Implications for enhancing workplace health for these ECE teachers are emerging.

Higher walkability associated with increased physical activity and reduced obesity among United States adults

OBJECTIVE

This study examined associations among perceived neighborhood walkability, physical activity (PA), and obesity among United States adults.

METHODS

Data from the 2020 National Health Interview Survey were analyzed. Walkability was assessed using a summative scale and was categorized as low, medium, or high. PA was categorized as insufficient (0-149 min/wk) or sufficient (150+ min/wk). Multivariable regressions estimated an association between obesity and BMI and PA/walkability. Mediation analysis was used to partition contribution of PA as a mediator. Effect modification by race and ethnicity in the association between walkability and BMI was explored.

RESULTS

The sample included N = 31,568 adults. Compared with those in low-walkability neighborhoods, participants in high-walkability neighborhoods had increased odds of sufficient PA (odds ratio [OR] = 1.48; 95% CI: 1.30-1.69) and decreased obesity odds (OR = 0.76; 95% CI: 0.66-0.87). PA partially mediated the association between walkability and BMI (23.4%; 95% CI: 14.6%-62.7%). The association between walkability and BMI was modified by race and ethnicity (F[5,567]  = 2.75; p = 0.018). Among White, Black, Hispanic, and Asian adults, BMI decreased with increasing walkability; among American Indian/Alaska Native and multiracial/other adults, BMI increased with increasing walkability.

CONCLUSIONS

The findings highlight the importance of investing in the built environment to improve perceptions of walkability and promote PA and healthy weight, as well as developing interventions to target racial and ethnic disparities in these outcomes.

Race and obesity disparities among adults living in gentrifying neighborhoods

There is a paucity of research seeking to understand race disparities in obesity among individuals living in a gentrifying neighborhood. American Community Survey data were used to identify gentrifying neighborhoods. In a cross-sectional analysis, these data were then linked to the 2014 Medical Expenditure Panel Survey, yielding an analytic sample of 887 Black and White adults. Obesity was based on body mass index ≥ 30 kg/m2. After controlling for potential confounders, Black adults living in gentrifying neighborhoods had a higher prevalence of obesity (PR: 1.39; 95% CI: 1.03, 1.88) than White adults living in gentrifying neighborhoods. Gentrification may have no impact on reducing Black-White obesity disparities in the US.

The Effects of Bariatric Surgery on Cardiovascular Outcomes and Cardiovascular Mortality: A Systematic Review and Meta-Analysis

Obesity is a major public health problem that is associated with serious comorbidities and premature mortality. Cardiovascular disease (CVD) is the major cause of morbidity and mortality associated with obesity. Lifestyle modifications, pharmacological therapy, and weight reduction surgery are the major interventions to date available for obesity management. Bariatric surgery has been increasingly utilized as a therapeutic option for obesity. In this meta-analysis, we aim to assess the effects of bariatric surgery on CVD outcomes and cardiovascular mortality. This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. PubMed, Embase, Cochrane Library, Google Scholar, and Web of Science were searched until 03/01/2022. Our search included three types of bariatric surgery: Roux-en-Y gastric bypass (RYGB), sleeve gastrectomy, and gastric banding (GB). All were searched in conjunction with "coronary artery disease," "ischemic heart disease," "myocardial infarction," "cerebrovascular accident," "stroke," "atrial fibrillation," "heart failure," "arrhythmias," and "mortality." We included 49 studies meeting the study criteria. Bariatric surgery showed a beneficial effect on coronary artery disease (CAD) (hazard ratio (HR) of 0.68 {95% confidence interval (CI): 0.52-0.91}, p = 0.008), myocardial infarction (MI) (HR of 0.53 {95% CI: 0.44-0.64}, p < 0.01) heart failure (HF) (HR of 0.45 {95% CI: 0.37-0.55}, p < 0.01), cerebrovascular accident (CVA) (HR of 0.68 {95% CI: 0.59-0.78}, p < 0.01), and cardiovascular mortality (HR of 0.48 {95% CI: 0.40-0.57}, p < 0.01). The effect on atrial fibrillation (AF) did not reach statistical significance: HR of 0.81 (95% CI: 0.65-1.01), p = 0.07. Our study, that is, an updated meta-analysis, including the three types of procedure, confirms beneficial effects on the major CVD outcomes, including coronary artery disease, myocardial infarction, cerebrovascular accident, and heart failure, and on CVD mortality. This study provides updated insights into the long-term CV effects of bariatric surgery, an increasingly common intervention for obesity.

LGBTQ+ food insufficiency in New England

As a group, LGBTQ+ people experience food insecurity at a disproportionately high rate, yet food security scholars and practitioners are only beginning to uncover patterns in how food insecurity varies by subgroups of this diverse community. In this paper, we use data from the U.S. Census Bureau's Household Pulse Survey-which added measures of gender identity and sexuality for the first time in 2021-to analyze New Englanders' food insufficiency rates by gender, sexuality, race, and ethnicity. We find that (1) in the past seven days, 13.0 percent of LGB + (lesbian, gay, bisexual, and other non-heterosexual) New Englanders experience food insufficiency-which is nearly twice the rate of heterosexual people-and 19.8 percent of transgender+ (transgender, genderqueer, gender non-binary, and other non-cisgender people) New Englanders experience food insufficiency-which is two to three times the rate of cisgender men and women. (2) Whereas cisgender New Englanders experience food insufficiency at a lower rate than their counterparts in the rest of the nation (about two percentage points lower for both cisgender men and women), transgender+ New Englanders experience no such New England advantage compared to transgender+ people in the country as a whole. (3) LGBTQ+ New Englanders of color experience devastatingly high rates of food insufficiency, with, for example, one in three Black transgender+ New Englanders not having enough food to eat in the past seven days. These findings suggest that addressing food insecurity in New England demands approaching the problem with an intersectional queer lens, with attention to the ways in which racism, cissexism, and heterosexism are creating a systemic, ongoing food crisis for LGBTQ+ New Englanders, especially those who are transgender+ and/or people of color.

State-Level Socioeconomic Racial Inequity and Food Insecurity in the U.S

INTRODUCTION

Racial inequities in food insecurity have been documented for the past 2 decades in the U.S., with the prevalence of food insecurity among Black households being 2-3 times higher than that among White households across time. The purpose of this study was to determine the association between socioeconomic indicators of structural racism at the state level and food insecurity among White and Black households in the U.S.

METHODS

This study is a secondary analysis of pooled, cross-sectional data from the Current Population Survey and the American Community Survey, 2015-2019 (N=158,551 Black and White households). Data analysis occurred in 2021-2022. The outcome was household food insecurity, and the exposure was structural racism indicators, operationalized as state-level racial inequities in income, earnings, education, unemployment, and home ownership. Individual-, household-, and state-level sociodemographic covariates were included.

RESULTS

Among Black households, state-level racial inequities in income, unemployment, and home ownership were associated with 34% (OR=1.34; 95% CI=1.05, 1.70), 14% (OR=1.14; 95% CI=1.02, 1.28), and 11% (OR=1.11; 95% CI=1.05, 1.16) higher odds of food insecurity, respectively. For White households, state-level racial inequities in income, education, unemployment, and home ownership were associated with 21% (OR=0.79; 95% CI=0.63, 0.98), 27% (OR=0.73; 95% CI=0.66, 0.85), 10% (OR=0.90; 95% CI=0.82, 0.98), and 8% (OR=0.92; 95% CI=0.89, 0.95) lower odds of food insecurity, respectively.

CONCLUSIONS

Structural racism may be a key driver of food insecurity among Black households and may be protective against food insecurity among White households. Implementing policies addressing state-level racial inequity in socioeconomic indicators could be effective at reducing racial inequities in food insecurity.

Associations of Neighborhood Opportunity and Social Vulnerability With Trajectories of Childhood Body Mass Index and Obesity Among US Children

Importance

Physical and social neighborhood attributes may have implications for children's growth and development patterns. The extent to which these attributes are associated with body mass index (BMI) trajectories and obesity risk from childhood to adolescence remains understudied.

Objective

To examine associations of neighborhood-level measures of opportunity and social vulnerability with trajectories of BMI and obesity risk from birth to adolescence.

Design, Setting, and Participants

This cohort study used data from 54 cohorts (20 677 children) participating in the Environmental Influences on Child Health Outcomes (ECHO) program from January 1, 1995, to January 1, 2022. Participant inclusion required at least 1 geocoded residential address and anthropometric measure (taken at the same time or after the address date) from birth through adolescence. Data were analyzed from February 1 to June 30, 2022.

Exposures

Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) linked to geocoded residential addresses at birth and in infancy (age range, 0.5-1.5 years), early childhood (age range, 2.0-4.8 years), and mid-childhood (age range, 5.0-9.8 years).

Main Outcomes and Measures

BMI (calculated as weight in kilograms divided by length [if aged <2 years] or height in meters squared) and obesity (age- and sex-specific BMI ≥95th percentile). Based on nationwide distributions of the COI and SVI, Census tract rankings were grouped into 5 categories: very low (<20th percentile), low (20th percentile to <40th percentile), moderate (40th percentile to <60th percentile), high (60th percentile to <80th percentile), or very high (≥80th percentile) opportunity (COI) or vulnerability (SVI).

Results

Among 20 677 children, 10 747 (52.0%) were male; 12 463 of 20 105 (62.0%) were White, and 16 036 of 20 333 (78.9%) were non-Hispanic. (Some data for race and ethnicity were missing.) Overall, 29.9% of children in the ECHO program resided in areas with the most advantageous characteristics. For example, at birth, 26.7% of children lived in areas with very high COI, and 25.3% lived in areas with very low SVI; in mid-childhood, 30.6% lived in areas with very high COI and 28.4% lived in areas with very low SVI. Linear mixed-effects models revealed that at every life stage, children who resided in areas with higher COI (vs very low COI) had lower mean BMI trajectories and lower risk of obesity from childhood to adolescence, independent of family sociodemographic and prenatal characteristics. For example, among children with obesity at age 10 years, the risk ratio was 0.21 (95% CI, 0.12-0.34) for very high COI at birth, 0.31 (95% CI, 0.20-0.51) for high COI at birth, 0.46 (95% CI, 0.28-0.74) for moderate COI at birth, and 0.53 (95% CI, 0.32-0.86) for low COI at birth. Similar patterns of findings were observed for children who resided in areas with lower SVI (vs very high SVI). For example, among children with obesity at age 10 years, the risk ratio was 0.17 (95% CI, 0.10-0.30) for very low SVI at birth, 0.20 (95% CI, 0.11-0.35) for low SVI at birth, 0.42 (95% CI, 0.24-0.75) for moderate SVI at birth, and 0.43 (95% CI, 0.24-0.76) for high SVI at birth. For both indices, effect estimates for mean BMI difference and obesity risk were larger at an older age of outcome measurement. In addition, exposure to COI or SVI at birth was associated with the most substantial difference in subsequent mean BMI and risk of obesity compared with exposure at later life stages.

Conclusions and Relevance

In this cohort study, residing in higher-opportunity and lower-vulnerability neighborhoods in early life, especially at birth, was associated with a lower mean BMI trajectory and a lower risk of obesity from childhood to adolescence. Future research should clarify whether initiatives or policies that alter specific components of neighborhood environment would be beneficial in preventing excess weight in children.

Acanthosis nigricans in the pediatric population: a narrative review of the current approach to management in primary care

Objective

This narrative review aims to provide readers with a comprehensive overview of the current literature of acanthosis nigricans (AN) in the pediatric and adolescent population, including best practices for identifying the condition, with a focus on the recommended management in the primary care setting to enable early and enhanced intervention.

Background

AN is frequently seen in obese and overweight children and adolescents. Current research suggests an association with insulin resistance, type 2 diabetes mellitus, and obesity, and often primary care physicians are the first point of contact for individuals with this dermatologic condition. However, identifying the condition at an early stage may be difficult.

Methods

We identified case and cross-sectional studies, clinical trials, and literature reviews of pediatric AN for ages 0 to 18 years in the United States and internationally. We considered publications for background from before the year 2000 and publications for approach to management from after the year 2000.

Conclusions

AN in the pediatric population can be a harbinger for underlying metabolic syndrome and insulin resistance. A thorough investigation and appropriate screening of children at risk, with a focus on early identification of the dermatologic condition and its associated comorbidities in the primary care setting, and early treatment is recommended to prevent long term consequences and decrease the risk of cardiovascular complications.

Income Inequality, Race/Ethnicity, and Obesity in U.S. Men 20 Years and Older: 1999 to 2016

Obesity is a significant public health problem globally and within the United States. It varies by multiple factors, including but not limited to income. The literature indicates little evidence of the association between income and obesity. We examined the association between income and obesity in U.S. adult men ages 20 years and older and tested racial and ethnic differences. We used data from the 1999 to 2016 National Health and Nutrition Examination Surveys for analyses. Obesity was determined using body mass index ≥30 kg/m². We used poverty income ratio (PIR) as a proxy for income and calculated the Gini coefficient (GC) to measure income inequality. We then categorized low-, medium-, and high PIR to examine the relationship between income inequality and obesity. We used Modified Poisson regression in a sample of 17,238 adult men, including 9,511 White Non-Hispanic White (NHW), 4,166 Non-Hispanic Black (NHB), and 3,561 Mexican Americans (MA). We controlled the models for age category, racial and ethnic groups, marital status, education, health behaviors, health insurance coverage, self-reported health, comorbidity, and household structure. Results of our adjusted models suggested a positive and significant association between PIR and obesity among NHWs and NHBs in medium and high PIR; this association was not significant in MAs. Results of our analyses using GC in obese men indicate that compared with NHWs (GC: 0.306, SE: 0.004), MAs (GC: 0.368, SE: 0.005), and NHBs (GC: 0.328, SE: 0.005) had experienced higher-income inequality. In treating obesity, policymakers should consider race/ethnicity strategies to reduce inequality in income.

Relationship between the Duration of Urban Nature and a Lower Waist-Hip Ratio

Obesity is a prevalent health issue. Evidence suggests that the availability of urban nature may reduce the risks of obesity. However, several knowledge gaps remain. This study explores the relationships between the dose (distance, duration and frequency) of urban nature and demographic factors towards obesity risks among people in Thailand. A total of 111 participants in three urban and peri-urban nature locations answered a survey regarding their distance from green spaces, frequency of visits, and duration of their typical stay, as well as their socio-demographics, and waist-hip ratio (WHR). The results suggested that at least 1-2 h per typical visit to nature predicted low-risk WHR in women. Male participants are more likely to have a high-risk WHR. Increasing age predicted low-risk WHR. Spending more time in green spaces predicted lower odds of high-risk WHR, while distance did not predict the odds. This research is one of the first to study the relationship between time spent in nature and obesity, and one of the first nature and health studies conducted in Thailand. Given that Thailand is one of the countries most affected by obesity in Southeast Asia, this study is relevant and essential. Future research should explore the quality factors of the park with longer duration of stay.

Institutional Racism and Health: a Framework for Conceptualization, Measurement, and Analysis

Despite growing interest in the health-related consequences of racially discriminatory institutional policies and practices, public health scholars have yet to reach a consensus on how to measure and analyze exposure to institutional racism. The purpose of this paper is to provide an overview of the conceptualization, measurement, and analysis of institutional racism in the context of quantitative research on minority health and health disparities in the United States. We begin by providing definitions of key concepts (e.g., racialization, racism, racial inequity) and describing linkages between these ideas. Next, we discuss the hypothesized mechanisms that link exposure to institutional racism with health. We then provide a framework to advance empirical research on institutional racism and health, informed by a literature review that summarizes measures and analytic approaches used in previous studies. The framework addresses six considerations: (1) policy identification, (2) population of interest, (3) exposure measurement, (4) outcome measurement, (5) study design, and (6) analytic approach. Research utilizing the proposed framework will help inform structural interventions to promote minority health and reduce racial and ethnic health disparities.

A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace

Considerable scholarly attention has been directed to the adverse health effects caused by residential segregation. We aimed to visualize the state-of-the-art residential segregation and health research to provide a reference for follow-up studies. Employing the CiteSpace software, we uncovered popular themes, research hotspots, and frontiers based on an analysis of 1211 English-language publications, including articles and reviews retrieved from the Web of Science Core Collection database from 1998 to 2022. The results revealed: (1) The Social Science & Medicine journal has published the most studies. Roland J. Thorpe, Thomas A. LaVeist, Darrell J. Gaskin, David R. Williams, and others are the leading scholars in residential segregation and health research. The University of Michigan, Columbia University, Harvard University, the Johns Hopkins School of Public Health, and the University of North Carolina play the most important role in current research. The U.S. is the main publishing country with significant academic influence. (2) Structural racism, COVID-19, mortality, multilevel modelling, and environmental justice are the top five topic clusters. (3) The research frontier of residential segregation and health has significantly shifted from focusing on community, poverty, infant mortality, and social class to residential environmental exposure, structural racism, and health care. We recommend strengthening comparative research on the health-related effects of residential segregation on minority groups in different socio-economic and cultural contexts.

Weight Status, Medication Use, and Recreational Activities of Treatment-Naïve Transgender Youth

Background: Studies of transgender/gender diverse (TGD) youth indicate a high prevalence of overweight/obesity and concern for unhealthy weight management behavior. This study describes the association of weight status with medication use and recreational activities among treatment-naïve, pediatric TGD patients. Methods: This study is a chart review of 277 patients [aged 9-18 years, 79.1% female sex assigned at birth (SAB), and 86.3% white] seen at a medical center from 2017 to 2020. BMI was calculated by age and SAB using CDC growth charts. BMI percentile (BMI%) and BMI z-score (BMIz) were used to define weight status. Results: By BMI% category, 3.6% patients were in the underweight range (BMI <5%); 50.5% had BMI >85%; and 30.3% had BMI >95%. Overweight and obesity rates were higher than national norms (χ² = 15.152, p < 0.01). Female SAB participants had higher BMIz values than male SAB participants. Youth who reported watching/listening to media (t = 3.50, p < 0.01) and parent-reported creative arts involvement (t = 1.97, p = 0.05) were associated with higher BMIz values. Conversely, spending time with friends and family was associated with a lower BMIz. Over half of the patients were prescribed medications, and those patients taking medications had higher BMIz values than those not taking medications (t = -1.96, p < 0.05). Female SAB, involvement in sedentary recreational activities, and taking medications to treat gastrointestinal conditions were associated with elevated BMIz. Conclusions: Overweight/obesity is a common problem among TGD youth. TGD youth should be considered a high-risk group and targeted in obesity prevention and treatment efforts. Interventions to decrease sedentary activities and improve connections with friends and family are promising strategies to address overweight and obesity among TGD youth.

Assessing the Influence of Food Insecurity and Retail Environments as a Proxy for Structural Racism on the COVID-19 Pandemic in an Urban Setting

A collaborative partnership launched the Great Grocer Project (GGP) in March 2021 in Detroit, Michigan where health inequities, including deaths due to COVID-19, have historically been politically determined and informed by socially entrenched norms. Institutional and structural racism has contributed to a lack of diversity in store ownership among Detroit grocers and limited access to high-quality, affordable healthy foods as well as disparate food insecurity among Detroit residents. The GGP seeks to promote Detroit's healthy grocers to improve community health and economic vitality through research, programs, and policies that have the potential to advance health equity. A cross-sectional design was used to explore relationships between scores from the Nutrition Environment Measures Surveys-Stores (NEMS-S) in 62 stores and city-level data of COVID-19 cases and deaths as well as calls to 211 for food assistance. Regression and predictive analyses were conducted at the ZIP code level throughout the city to determine a relationship between the community food environment and food insecurity on COVID-19 cases and deaths. COVID-19 cases and deaths contributed to greater food insecurity. The use of ZIP code data and the small sample size were limitations within this study. Causation could not be determined in this study; therefore, further analyses should explore the potential effects of individual grocery stores on COVID-related outcomes since a cluster of high-scoring NEMS-S stores and calls to 211 for food security resources inferred a potential protective factor. Poor nutrition has been shown to be associated with increased hospitalizations and deaths due to COVID-19. It is important to understand if a limited food environment can also have a negative effect on COVID-19 rates and deaths. Lessons learned from Detroit could have implications for other communities in using food environment improvements to prevent an uptick in food insecurity and deaths due to COVID-19 and other coronaviruses.

Individual and Neighborhood Influences on the Relationship Between Waist Circumference and Coronary Heart Disease in the REasons for Geographic and Racial Differences in Stroke Study

INTRODUCTION

The objective of this study was to describe how the relationship between waist circumference and incident coronary heart disease (CHD) is influenced by individual and neighborhood factors in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

METHODS

REGARDS is a cohort study of 30,239 US adults. The primary exposure was sex-specific quartiles of waist circumference. Individual covariates included sociodemographic characteristics, health status, health behavior, and usual source of care. Neighborhood (ie, zip code-level) covariates included access to primary care, poverty, rurality, and racial segregation. The main outcome was incident CHD from baseline (2003) through 2017. We used descriptive statistics, Kaplan-Meier curves, and Cox proportional hazard models to analyze the overall sample and race-sex subgroups.

RESULTS

During the study period, 23,042 study participants had 1,499 CHD events. We found a higher risk of incident CHD in the upper quartile of waist circumference compared with the first quartile in all 4 race-sex subgroups except African American men, among whom we found no relationship between waist circumference and incident CHD. Covariates did not attenuate these relationships.

CONCLUSION

In all groups except African American men, waist circumference in the highest quartile was associated with increased risk of incident CHD. Individual and neighborhood factors did not influence the relationship between waist circumference and development of CHD but differentially influenced incident CHD among race-sex subgroups.

Addressing Structural Racism Is Critical for Ameliorating the Childhood Obesity Epidemic in Black Youth

Racism and childhood obesity are both pervasive factors adversely affecting the health and wellbeing of children and adolescents in the United States. The association between racism and obesity has been touched upon in the literature; yet most work has focused on a few dimensions of intersectionality of these two domains at one time. The renewed focus on structural racism as the primary contributor to distress of Black individuals in the United States has highlighted the urgency of identifying the contributions of racism to the childhood obesity epidemic. The current article is not a complete review of the literature, rather, it is meant to take a broad narrative review of the myriad ways in which racism contributes to the obesity epidemic in Black youth to serve as a call to action for more research, prevention, and intervention. The current article illustrates how a number of mechanisms for the etiology and maintenance of obesity are heavily influenced by racism and how addressing racism is critical for ameliorating the childhood obesity epidemic.

Responding to Health Disparities in Behavioral Weight Loss Interventions and COVID-19 in Black Adults: Recommendations for Health Equity

COVID-19 has disproportionately impacted Black adults with high prevalence and mortality rates. Obesity is a central factor in the severity of COVID-19 and related treatment. Behavioral weight loss interventions are an efficacious treatment for obesity, but consistently, Black men and women are minimally represented, and weight loss outcomes are less than clinically significant thresholds. This commentary draws parallels between COVID-19 racial disparities, disparate obesity rates, weight loss treatment outcomes, and underlying systemic racial context. This paper also indicates paths forward to address racialized societal norms in obesity treatment to advance health equity in obesity and reduce acute disease vulnerability. Recommendations for behavioral medicine practice and policy include (1) expanding the research lens to prioritize Black scholars and institutions to generate innovative research questions, (2) creating trustworthy relationships with Black community members to bolster recruitment and retention, (3) employing qualitative methods to facilitate better intervention design and uncover influences of racialized social context, (4) centering Black adults in weight loss interventions, and (5) using multilevel approaches that integrate policy into interventions. Moving forward, this commentary aims to make plain the multilayered form and function of racism, its impact on COVID-19 and obesity, and offer pathways to improve behavioral weight loss interventions that can produce more equitable outcomes.

Racialized economic segregation and health outcomes: A systematic review of studies that use the Index of Concentration at the Extremes for race, income, and their interaction

Extensive research shows that residential segregation has severe health consequences for racial and ethnic minorities. Most research to date has operationalized segregation in terms of either poverty or race/ethnicity rather than a synergy of these factors. A novel version of the Index of Concentration at the Extremes (ICERace-Income) specifically assesses racialized economic segregation in terms of spatial concentrations of racial and economic privilege (e.g., wealthy white people) versus disadvantage (e.g., poor Black people) within a given area. This multidimensional measure advances a more comprehensive understanding of residential segregation and its consequences for racial and ethnic minorities. The aim of this paper is to critically review the evidence on the association between ICERace-Income and health outcomes. We implemented the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to conduct a rigorous search of academic databases for papers linking ICERace-Income with health. Twenty articles were included in the review. Studies focused on the association of ICERace-Income with adverse birth outcomes, cancer, premature and all-cause mortality, and communicable diseases. Most of the evidence indicates a strong association between ICERace-Income and each health outcome, underscoring income as a key mechanism by which segregation produces health inequality along racial and ethnic lines. Two of the reviewed studies examined racial disparities in comorbidities and health care access as potential explanatory factors underlying this relationship. We discuss our findings in the context of the extant literature on segregation and health and propose new directions for future research and applications of the ICERace-Income measure.

Association of Area-Level Socioeconomic Deprivation With Hypoglycemic and Hyperglycemic Crises in US Adults With Diabetes

IMPORTANCE

Social determinants of health play a role in diabetes management and outcomes, including potentially life-threatening complications of severe hypoglycemia and diabetic ketoacidosis (DKA) or hyperglycemic hyperosmolar state (HHS). Although several person-level socioeconomic factors have been associated with these complications, the implications of area-level socioeconomic deprivation are unknown.

OBJECTIVE

To examine the association between area-level deprivation and the risks of experiencing emergency department visits or hospitalizations for hypoglycemic and hyperglycemic crises (ie, DKA or HHS).

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used deidentified administrative claims data for privately insured individuals and Medicare Advantage beneficiaries across the US. The analysis included adults with diabetes who met the claims criteria for diabetes between January 1, 2016, and December 31, 2017. Data analyses were performed from November 17, 2020, to November 11, 2021.

EXPOSURES

Area deprivation index (ADI) was derived for each county for 2016 and 2017 using 17 county-level indicators from the American Community Survey. ADI values were applied to patients who were living in each county based on their index dates and were categorized according to county-level ADI quintile (with quintile 1 having the least deprivation and quintile 5 having the most deprivation).

MAIN OUTCOMES AND MEASURES

The numbers of emergency department visits or hospitalizations related to the primary diagnoses of hypoglycemia and DKA or HHS (ascertained using validated diagnosis codes in the first or primary position of emergency department or hospital claims) between 2016 and 2019 were calculated for each ADI quintile using negative binomial regression models and adjusted for patient age, sex, health plan type, comorbidities, glucose-lowering medication type, and percentage of White residents in the county.

RESULTS

The study population included 1 116 361 individuals (563 943 women [50.5%]), with a mean (SD) age of 64.9 (13.2) years. Of these patients, 343 726 (30.8%) resided in counties with the least deprivation (quintile 1) and 121 810 (10.9%) lived in counties with the most deprivation (quintile 5). Adjusted rates of severe hypoglycemia increased from 13.54 (95% CI, 12.91-14.17) per 1000 person-years in quintile 1 counties to 19.13 (95% CI, 17.62-20.63) per 1000 person-years in quintile 5 counties, corresponding to an incidence rate ratio of 1.41 (95% CI, 1.29-1.54; P < .001). Adjusted rates of DKA or HHS increased from 7.49 (95% CI, 6.96-8.02) per 1000 person-years in quintile 1 counties to 8.37 (95% CI, 7.50-9.23) per 1000 person-years in quintile 5 counties, corresponding to an incidence rate ratio of 1.12 (95% CI, 1.00-1.25; P = .049).

CONCLUSIONS AND RELEVANCE

This study found that living in counties with a high area-level deprivation was associated with an increased risk of severe hypoglycemia and DKA or HHS. The concentration of these preventable events in areas of high deprivation signals the need for interventions that target the structural barriers to optimal diabetes management and health.

Twenty Important Research Questions in Microbial Exposure and Social Equity

Social and political policy, human activities, and environmental change affect the ways in which microbial communities assemble and interact with people. These factors determine how different social groups are exposed to beneficial and/or harmful microorganisms, meaning microbial exposure has an important socioecological justice context. Therefore, greater consideration of microbial exposure and social equity in research, planning, and policy is imperative. Here, we identify 20 research questions considered fundamentally important to promoting equitable exposure to beneficial microorganisms, along with safeguarding resilient societies and ecosystems. The 20 research questions we identified span seven broad themes, including the following: (i) sociocultural interactions; (ii) Indigenous community health and well-being; (iii) humans, urban ecosystems, and environmental processes; (iv) human psychology and mental health; (v) microbiomes and infectious diseases; (vi) human health and food security; and (vii) microbiome-related planning, policy, and outreach. Our goal was to summarize this growing field and to stimulate impactful research avenues while providing focus for funders and policymakers.

Impacts of COVID-19 on a Food Security Study with the Baltimore Native Community

Urban American Indian/Alaska Native peoples experience disproportionate levels of food insecurity when compared to the general US population. Through a collaborative research partnership between Native American Lifelines of Baltimore, an Urban Indian Health Program, and a Johns Hopkins Bloomberg School of Public Health student-led research team, food security was identified as a priority issue. A sequential explanatory mixed methods study was planned to explore food security and food sovereignty in the Baltimore Native community prior to the COVID-19 pandemic. Due to the local impact of COVID-19, a community-based participatory research approach guided the community-academic team to revise the original study and increase understanding of how the pandemic impacted food security in the community. This article highlights the lessons learned and strengths of using a community-based participatory approach to guide adaptations made due to COVID-19 to this research study. By utilizing a co-learning approach and emphasizing flexibility, we were able to collaboratively collect meaningful data to drive future community solutions to food insecurity while building an evidence base for policy changes to better support urban Native food security.

Why do African-American men face higher risks for lethal prostate cancer?

PURPOSE OF REVIEW

African-American men in the USA have a higher incidence of and mortality from prostate cancer (PCa), with a longstanding debate about the cause for these worse outcomes. This review examines differences in tumour biology and socioeconomics for African-American and Non-Hispanic White (NHW) men to answer the question 'why AA men face higher risks for lethal PCa' and draw a management consensus to redress the imbalance.

RECENT FINDINGS

Recent evidence from over the past 2 years suggests the reasons why African-American men face a higher risk of lethal PCa are multifactorial, with contributions from differences in tumour biology as well as socioeconomic and healthcare access factors. Regarding tumour biology, genomic and transcriptome profiling suggests African-American men have upregulated expression of genes related to inflammatory pathways with downregulation of DNA repair genes. In contrast, NHW men have higher DNA repair pathways and metabolic pathways involving glycolysis and cell cycle activity. In addition, epidemiological evidence suggests equal healthcare access ensures equal PCa specific outcomes, implying African-American men's disease is not inherently more lethal. However, differences in tumour biology remain, which may explain specific differences in PCa incidence and the clinical findings of African-American men's increased response to immunotherapy and radiotherapy in recent trials.

SUMMARY

Regardless of racial differences in disease outcomes and the factors causing them, African-American and NHW men seem to have diseases unique to their ancestry. This supports the exploration of personalized PCa treatment approaches, leveraging translational basic science research to uncover these differences and devise specific individualized methods therapeutic regimes to address them.

Examining the influence of positive childhood experiences on childhood overweight and obesity using a national sample

Positive childhood experiences (PCEs) promote healthy social development, improve overall wellness, and help to moderate and prevent exposure to adverse childhood experiences. There has been limited research examining the association between positive childhood experiences and overweight or obesity status in children. The purpose of this study was to examine whether experiencing positive childhood experiences are associated with lower rates of overweight or obesity status in children between 10 and 17 years of age, using cross-sectional data from the 2018-2019 National Survey of Children's Health (n = 28,771), a nationally representative mail and online survey. Frequencies, proportions, and unadjusted associations for each variable were calculated using descriptive statistics and bivariate analyses. To examine the association between overweight or obesity and PCEs, multivariable regression models were used. Compared to children who were underweight or had a healthy weight, children who were overweight or obese were less likely to: participate after school activities (78.1%, p < 0.0001), volunteer in their community, school, or church (45.6%, p < 0.0001), have a mentor they feel comfortable going to for guidance (87.0%, p = 0.02), live in a safe neighborhood (61.3%, p < 0.0001), live in a supportive neighborhood (50.4%, p < 0.0001), and to live with a resilient family (78.3%; p = 0.0099). In adjusted analysis, among children exposed to two or more ACEs, children residing in a supportive neighborhood were less likely to be overweight or obese (aOR 0.87; 0.77-0.98). Our findings suggest that certain PCEs may mitigate overweight and obesity when children have experienced at least some childhood trauma.

Earth Dreams: Reimagining ARPA for Health of People, Places and Planet

Bold new approaches are urgently needed to overcome global health challenges. The proposed Advanced Research Projects Agency for Health (ARPA-H) is intended to provide rapid health breakthroughs. While new technologies for earlier disease detection and more effective treatment are critical, we urge equal attention be given to the wider (physical, emotional, social, political, and economic) environmental ecosystems driving the non-communicable disease (NCD) crisis in the first place. This requires an integrated, cross-sectoral vision that spans the interwoven connections affecting health across the scales of people, places, and planet. This wider "exposome" perspective considers biopsychosocial factors that promote resilience and reduce vulnerabilities of individuals and communities over time-the many variables driving health disparities. Since life course health is strongly determined by early life environments, early interventions should be prioritized as a matter of effectiveness and social justice. Here, we explore the origins of the Advanced Research Project Agency and point to its potential to build integrated solutions, with wisdom and ethical value systems as a compass. Since the planned ARPA-H is anticipated to spawn international collaborations, the imagined concept is of relevance to a broad audience of researchers. With appropriate input, the quest for health equity through personalized, precision medicine while deconstructing unacceptable structural inequities may be accelerated.

Examining the impacts of neighborhood poverty on bodyweight across the BMI distribution: a quantile and MSM modeling approach

PURPOSE

Given that the relationships between higher BMI and adverse health outcomes are nonconstant and most pronounced at either ends of the BMI distribution, we assess the association between neighborhood poverty and BMI at multiple points along the BMI distribution.

METHODS

Using data from the 1999 to 2015 Panel Study of Income Dynamics of Black and White adults in the United States, we estimate quantile regression models while jointly applying a marginal structural modeling approach to account for time-varying individual-level factors that may be simultaneously mediators as well as confounders.

RESULTS

Neighborhood poverty was not found to be associated with bodyweight at any point along the BMI distribution for Black or White males. However, high neighborhood poverty, compared to low neighborhood poverty, predicted increases in bodyweight for Black females at the lower end of the BMI distribution and for White females at the higher end of the BMI distribution. No association was found between neighborhood poverty and BMI at the mean.

CONCLUSIONS

Results identify the most vulnerable subgroups, suggesting that White females at the higher end of the BMI distribution as well as Black females at the lower end of the BMI distribution are particularly sensitive to obesogenic environments.

How Income Inequality and Race/Ethnicity Drive Obesity in U.S. Adults: 1999-2016

Obesity is a major public health problem both globally and within the U.S. It varies by multiple factors, including but not limited to income and sex. After controlling for potential covariates, there is little evidence to determine the association between income and obesity and how obesity may be moderated by sex and family income. We examined the association between income and obesity in U.S. adults aged 20 years and older, and tested whether this relationship differs by race or ethnicity groups. For this analysis, we used data from the 1999-2016 National Health and Nutrition Examination Surveys (NHANES). Obesity was determined using Body Mass Index ≥ 30 kg/m2; the Gini coefficient (GC) was calculated to measure income inequality using the Poverty Income Ratio (PIR). We categorized the PIR into five quintiles to examine the relationship between income inequality and obesity. For the first set of analyses, we used a modified Poisson regression in a sample of 36,665 adults, with an almost equal number of men and women (women's ratio was 50.6%), including 17,303 white non-Hispanics (WNH), 7475 black non-Hispanics (BNHs), and 6281 Mexican Americans. The models included age, racial/ethnic groups, marital status, education, health behaviors (smoking and drinking status and physical activities), health insurance coverage, self-reported health, and household structure (live alone and size of household). Adjusting for potential confounders, our findings showed that the association between PIR and obesity was positive and significant more frequently among WNH and BNH in middle and top PIR quintiles than among lower-PIR quintiles; this association was not significant in Mexican Americans (MAs). Results of GC in obese women showed that in comparison with WNHs (GC: 0.34, S.E.: 0.002), BNHs (GC: 0.38, S.E.: 0.004) and MAs (GC: 0.41, S.E.: 0.006) experienced higher income inequality, and that BNH obese men experienced the highest income inequality (GC: 0.45, S.E.: 0.011). The association between PIR and obesity was significant among WNHs and BNHs men in the 3rd, 4th and 5th PIR quintiles. The same association was not found for women. In treating obesity, policymakers should consider not only race/ethnicity and sex, but also strategies to reduce inequality in income.

Higher Neighborhood Population Density Is Associated with Lower Potassium Intake in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

Current U.S. dietary guidelines recommend a daily potassium intake of 3400 mg/day for men and 2600 mg/day for women. Sub-optimal access to nutrient-rich foods may limit potassium intake and increase cardiometabolic risk. We examined the association of neighborhood characteristics related to food availability with potassium intake in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). 13,835 participants completed a 24-h dietary recall assessment and had complete covariates. Self-reported potassium intake was calibrated with an objective 24-h urinary potassium biomarker, using equations developed in the SOL Nutrition & Physical Activity Assessment Study (SOLNAS, N = 440). Neighborhood population density, median household income, Hispanic/Latino diversity, and a retail food environment index by census tract were obtained. Linear regression assessed associations with 24-h potassium intake, adjusting for individual-level and neighborhood confounders. Mean 24-h potassium was 2629 mg/day based on the SOLNAS biomarker and 2702 mg/day using multiple imputation and HCHS/SOL biomarker calibration. Compared with the lowest quartile of neighborhood population density, living in the highest quartile was associated with a 26% lower potassium intake in SOLNAS (adjusted fold-change 0.74, 95% CI 0.59–0.94) and a 39% lower intake in HCHS/SOL (adjusted fold-change 0.61 95% CI 0.45–0.84). Results were only partially explained by the retail food environment. The mechanisms by which population density affects potassium intake should be further studied.

Differences in U.S. Rural-Urban Trends in Diabetes ABCS, 1999-2018

OBJECTIVE

To examine changes in and the relationships between diabetes management and rural and urban residence.

RESEARCH DESIGN AND METHODS

Using National Health and Nutrition Examination Survey (1999-2018) data from 6,372 adults aged ≥18 years with self-reported diagnosed diabetes, we examined poor ABCS: A1C >9% (>75 mmol/mol), Blood pressure (BP) ≥140/90 mmHg, Cholesterol (non-HDL) ≥160 mg/dL (≥4.1 mmol/L), and current Smoking. We compared odds of urban versus rural residents (census tract population size ≥2,500 considered urban, otherwise rural) having poor ABCS across time (1999-2006, 2007-2012, and 2013-2018), overall and by sociodemographic and clinical characteristics.

RESULTS

During 1999-2018, the proportion of U.S. adults with diabetes residing in rural areas ranged between 15% and 19.5%. In 1999-2006, there were no statistically significant rural-urban differences in poor ABCS. However, from 1999-2006 to 2013-2018, there were greater improvements for urban adults with diabetes than for rural for BP ≥140/90 mmHg (relative odds ratio [OR] 0.8, 95% CI 0.6-0.9) and non-HDL ≥160 mg/dL (≥4.1 mmol/L) (relative OR 0.45, 0.4-0.5). These differences remained statistically significant after adjustment for race/ethnicity, education, poverty levels, and clinical characteristics. Yet, over the 1999-2018 time period, minority race/ethnicity, lower education attainment, poverty, and lack of health insurance coverage were factors associated with poorer A, B, C, or S in urban adults compared with their rural counterparts.

CONCLUSIONS

Over two decades, rural U.S. adults with diabetes have had less improvement in BP and cholesterol control. In addition, rural-urban differences exist across sociodemographic groups, suggesting that efforts to narrow this divide may need to address both socioeconomic and clinical aspects of care.

Obesity and Cardiovascular Disease: A Scientific Statement From the American Heart Association

The global obesity epidemic is well established, with increases in obesity prevalence for most countries since the 1980s. Obesity contributes directly to incident cardiovascular risk factors, including dyslipidemia, type 2 diabetes, hypertension, and sleep disorders. Obesity also leads to the development of cardiovascular disease and cardiovascular disease mortality independently of other cardiovascular risk factors. More recent data highlight abdominal obesity, as determined by waist circumference, as a cardiovascular disease risk marker that is independent of body mass index. There have also been significant advances in imaging modalities for characterizing body composition, including visceral adiposity. Studies that quantify fat depots, including ectopic fat, support excess visceral adiposity as an independent indicator of poor cardiovascular outcomes. Lifestyle modification and subsequent weight loss improve both metabolic syndrome and associated systemic inflammation and endothelial dysfunction. However, clinical trials of medical weight loss have not demonstrated a reduction in coronary artery disease rates. In contrast, prospective studies comparing patients undergoing bariatric surgery with nonsurgical patients with obesity have shown reduced coronary artery disease risk with surgery. In this statement, we summarize the impact of obesity on the diagnosis, clinical management, and outcomes of atherosclerotic cardiovascular disease, heart failure, and arrhythmias, especially sudden cardiac death and atrial fibrillation. In particular, we examine the influence of obesity on noninvasive and invasive diagnostic procedures for coronary artery disease. Moreover, we review the impact of obesity on cardiac function and outcomes related to heart failure with reduced and preserved ejection fraction. Finally, we describe the effects of lifestyle and surgical weight loss interventions on outcomes related to coronary artery disease, heart failure, and atrial fibrillation.