Reimagining Urban Spaces: Green Spaces, Obesity, and Health Resilience in an Era of Extreme Heat.

Record-breaking heat waves intensified by climate change pose both environmental and health threats, necessitating a balance between urban sustainability and well-being. Extreme heat and limited green space access are drivers of obesity prevalence, with decreased proximity to green spaces correlating with higher rates of obesity in nearby communities. In contrast, access to such green spaces fosters physical activity, well-being, and community cohesion, especially crucial in marginalized communities facing health disparities due to historical policies like redlining and underinvestment in social gathering spaces. Despite challenges, green space investment offers healthcare savings and environmental gains, necessitating a shift in perception towards viewing green spaces as essential for urban living. As heat waves persist, integrating health and sustainability in urban planning is paramount. Health and medical communities must play an active role in advocating for equitable access to urban green spaces, as they possess influential positions to address climate-related health disparities through localized advocacy.

The Role of Racism in Childhood Obesity.

PURPOSE OF REVIEW: Obesity rates continue to rise among children and have shown persistent racial disparities. Racism plays a potentially essential and actionable role in these disparities. This report reviews some mechanisms through which racism may shape childhood obesity. RECENT FINDINGS: From the youngest ages, disparities in childhood obesity prevalence are already present. Racism may shape intergenerational and prenatal factors that affect obesity and various stressors and environments where children grow up. The relationships between clinicians and patients may also be shaped by everyday racism and legacies of past racism, which may affect obesity prevalence and treatment efficacy. Comprehensive data on the extent to which racism shapes childhood obesity is limited. However, compelling evidence suggests many ways through which racism ultimately does affect childhood obesity. Interventions to address racism at multiple points where it shapes childhood obesity, including intergenerational and prenatal mechanisms, may help to close disparities.

Equity in Obesity Review.

Obesity disproportionately affects racial and ethnic minoritized populations and those of lower socioeconomic status. Similarly, disparities exist in the development of its downstream consequences, such as type 2 diabetes and hypertension. The causes of these disparities are multifactorial and are influenced by structural factors such as segregation and healthcare access, and individual-level factors such as weight stigma. Interventions to decrease disparities in obesity should consider macro-level, community, and individual-level factors that might reduce disparities and improve equity in obesity care. Clinicians must also recognize the chronic nature of obesity, and how bias and stigma may impact patient care.

Neighborhood Social Cohesion and Obesity in the United States.

Low neighborhood social cohesion (nSC) has been associated with obesity. Still, few studies have assessed the nSC-obesity relationship among a large, nationally representative, and racially/ethnically diverse sample of the United States population. To address this literature gap, we examined cross-sectional associations among 154,480 adult participants of the National Health Interview Survey (NHIS) from 2013-2018. We also determined if associations varied by race/ethnicity, sex/gender, age, annual household income, and food security status. Based on a 4-item scale from the Project on Human Development in Chicago Neighborhoods Community Survey, we categorized nSC as low, medium, and high. Based on body mass index (BMI) recommendations, we categorized obesity as ≥30 kg/m2. We used Poisson regression with robust variance to directly estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) while adjusting for sociodemographic characteristics, such as annual household income, educational attainment, and marital status, along with other confounders. Study participants' mean age ± standard error was 47.1±0.1 years; most (69.2%) self-identified as Non-Hispanic (NH)-White, and 51.0% were women. NH-Black and Hispanic/Latinx adults comprised more of the population in neighborhoods with low nSC (14.0% NH-Black, 19.1% Hispanic/Latinx, and 61.8% NH-White) versus high nSC (7.7% NH-Black, 10.4% Hispanic/Latinx and 77.0% NH-White). Low vs. high nSC was associated with a 15% higher prevalence of obesity (PR=1.15 [95% CI: 1.12-1.18]), and the magnitude of the association was more substantial among NH-White (PR=1.21 [95% CI: 1.17-1.25]) compared to associations among Hispanic/Latinx (PR=1.04 [95% CI: 0.97-1.11]) and NH-Black (PR=1.01 [95% CI: 0.95-1.07]) adults. Low vs. high nSC was associated with a 20% higher prevalence of obesity in women (PR=1.20 [95% CI: 1.16-1.24]) compared to a 10% higher prevalence in men (PR=1.10 [95% CI: 1.06-1.14]). Low vs. high nSC was associated with a 19% higher prevalence of obesity among adults ≥50 years old (PR=1.19 [95% CI: 1.15-1.23]) compared to a 7% higher prevalence of obesity among adults <50 years old (PR=1.07 [95% CI: 1.03-1.11]). Efforts to address nSC may improve health and address health disparities.

Harnessing big data for health equity through a comprehensive public database and data collection framework.

The United States Department of Health and Human Services (HHS) pledged $90 million to help reduce health disparities with data-driven solutions. The funds are being distributed to 1400 community health centers, serving over 30 million Americans. Given these developments, our piece examines the reasons behind the delayed adoption of big data for healthcare equity, recent efforts embracing big data tools, and methods to maximize potential without overburdening physicians. We additionally propose a public database for anonymized patient data, introducing diverse metrics and equitable data collection strategies, providing valuable insights for policymakers and health systems to better serve communities.

Increasing diversity, equity, and inclusion in the fields of nutrition and obesity: A roadmap to equity in academia.

Research shows that a diverse faculty improves academic, clinical, and research outcomes in higher education. Despite that, persons in minority groups, usually categorized by race or ethnicity, are underrepresented in academia (URiA). The Nutrition Obesity Research Centers (NORCs), supported by the NIDDK, hosted workshops on five separate days in September and October 2020. NORCs convened these workshops to identify barriers and facilitators for diversity, equity, and inclusion (DEI) and provide specific recommendations to improve DEI within obesity and nutrition for individuals from URiA groups. Recognized experts on DEI presented each day, after which the NORCs conducted breakout sessions with key stakeholders who engage in nutrition and obesity research. The breakout session groups included early-career investigators, professional societies, and academic leadership. The consensus from the breakout sessions was that glaring inequities affect URiA in nutrition and obesity, particularly related to recruitment, retention, and advancement. Recommendations from the breakout sessions to improve DEI across the academe focused on six themes: (1) recruitment, (2) retention, (3) advancement, (4) intersectionality of multiple challenges (e.g., being Black and a woman), (5) funding agencies, and (6) implementation of strategies to address problems related to DEI.

Increasing diversity, equity, and inclusion in the fields of nutrition and obesity: A road map to equity in academia.

Research shows that a diverse faculty improves academic, clinical, and research outcomes in higher education. Despite that, persons in minority groups, usually categorized by race or ethnicity, are underrepresented in academia (URiA). The Nutrition Obesity Research Centers (NORCs), supported by the National Institute of Diabetes and Digestive and Kidney Diseases, hosted workshops on five separate days in September and October 2020. NORCs convened these workshops to identify barriers and facilitators for diversity, equity, and inclusion (DEI) and provide specific recommendations to improve DEI within obesity and nutrition for individuals from URiA groups. Recognized experts on DEI presented each day, after which the NORCs conducted breakout sessions with key stakeholders who engage in nutrition and obesity research. The breakout session groups included early-career investigators, professional societies, and academic leadership. The consensus from the breakout sessions was that glaring inequities affect URiA in nutrition and obesity, particularly related to recruitment, retention, and advancement. Recommendations from the breakout sessions to improve DEI across academia focused on six themes: (1) recruitment, (2) retention, (3) advancement, (4) intersectionality of multiple challenges (e.g., being Black and a woman), (5) funding agencies, and (6) implementation of strategies to address problems related to DEI.

Medicaid expansion and health care access for individuals with obesity in the United States.

OBJECTIVE: This study aimed to evaluate associations of Medicaid expansion with health care access for adults with obesity and to explore racial/ethnic differences in these changes in health care access. METHODS: Using 2011 to 2017 Behavioral Risk Factor Surveillance System data, the study compared health care access measures among adults who were aged ≥18 years and who had BMI ≥ 30 kg/m2 and household income ≤ 138% of the federal poverty line by state Medicaid expansion status using a difference-in-differences approach with logistic regression. The authors further stratified the main analysis by race/ethnicity. RESULTS: Medicaid expansion was associated with improvements in health care access, including lower proportions of those without a usual source of care (-3.6%, 95% confidence interval [CI]: -5.8% to -1.4%, p < 0.01) and cost as a barrier to medical care (-4.5%, 95% CI: -7.0% to -1.9%, p < 0.01). No significant changes were found in routine medical checkups in the last year (-1.8%, 95% CI: -4.4% to 0.8%, p = 0.12). However, across these measures, Medicaid expansion was consistently associated with better access among non-Hispanic White adults (-6.0% to -7.9%, p < 0.01) and not at all among non-Hispanic Black and Hispanic adults (p > 0.05). CONCLUSIONS: Medicaid expansion was associated with significant improvements in health care access among adults with obesity, but these improvements were variable across race and ethnicity.

Smartphone camera based assessment of adiposity: a validation study.

Body composition is a key component of health in both individuals and populations, and excess adiposity is associated with an increased risk of developing chronic diseases. Body mass index (BMI) and other clinical or commercially available tools for quantifying body fat (BF) such as DXA, MRI, CT, and photonic scanners (3DPS) are often inaccurate, cost prohibitive, or cumbersome to use. The aim of the current study was to evaluate the performance of a novel automated computer vision method, visual body composition (VBC), that uses two-dimensional photographs captured via a conventional smartphone camera to estimate percentage total body fat (%BF). The VBC algorithm is based on a state-of-the-art convolutional neural network (CNN). The hypothesis is that VBC yields better accuracy than other consumer-grade fat measurements devices. 134 healthy adults ranging in age (21-76 years), sex (61.2% women), race (60.4% White; 23.9% Black), and body mass index (BMI, 18.5-51.6 kg/m2) were evaluated at two clinical sites (N = 64 at MGH, N = 70 at PBRC). Each participant had %BF measured with VBC, three consumer and two professional bioimpedance analysis (BIA) systems. The PBRC participants also had air displacement plethysmography (ADP) measured. %BF measured by dual-energy x-ray absorptiometry (DXA) was set as the reference against which all other %BF measurements were compared. To test our scientific hypothesis we run multiple, pair-wise Wilcoxon signed rank tests where we compare each competing measurement tool (VBC, BIA, …) with respect to the same ground-truth (DXA). Relative to DXA, VBC had the lowest mean absolute error and standard deviation (2.16 ± 1.54%) compared to all of the other evaluated methods (p < 0.05 for all comparisons). %BF measured by VBC also had good concordance with DXA (Lin's concordance correlation coefficient, CCC: all 0.96; women 0.93; men 0.94), whereas BMI had very poor concordance (CCC: all 0.45; women 0.40; men 0.74). Bland-Altman analysis of VBC revealed the tightest limits of agreement (LOA) and absence of significant bias relative to DXA (bias -0.42%, R2 = 0.03; p = 0.062; LOA -5.5% to +4.7%), whereas all other evaluated methods had significant (p < 0.01) bias and wider limits of agreement. Bias in Bland-Altman analyses is defined as the discordance between the y = 0 axis and the regressed line computed from the data in the plot. In this first validation study of a novel, accessible, and easy-to-use system, VBC body fat estimates were accurate and without significant bias compared to DXA as the reference; VBC performance exceeded those of all other BIA and ADP methods evaluated. The wide availability of smartphones suggests that the VBC method for evaluating %BF could play an important role in quantifying adiposity levels in a wide range of settings.Trial registration: ClinicalTrials.gov Identifier: NCT04854421.

Overcoming congressional inertia on obesity requires better literacy in obesity science.

Obesity-focused health policies, including the landmark Treat and Reduce Obesity Act, have stalled at the federal level over the past decade. Congressional inaction on obesity reflects both misconceptions of obesity as a lifestyle choice and limited awareness for the burden obesity imposes on our health care system. Given these challenges, we argue that health professionals must bolster their efforts to partner with public figures with obesity and to directly educate the public. These strategies may help destigmatize obesity and build awareness of obesity as a disease. Furthermore, we suggest that these strategies may empower patients to flex their unrealized political muscle and demand more from their elected leaders. A bold, multilevel approach that elicits a public demand for change can propel obesity policy into the 21st century.