Built environments and obesity in disadvantaged populations

Racial and Ethnic Differences in the Prevalence of Patients With Arthritis and Severe Joint Pain and Who Received Provider Counseling About Physical Activity for Arthritis Among Adults Aged 18 Years or Older-United States, 2019

OBJECTIVE

This study examined the racial and ethnic differences in individuals with self-reported and doctor-diagnosed arthritis, severe joint pain, and provider counseling for physical activity among US adults with arthritis.

METHODS

We estimated prevalence by race and ethnicity among 31,997 adults aged ≥18 years in the 2019 National Health Interview Survey. We used multiple logistic regression models to investigate associations between outcomes and race and ethnicity.

RESULTS

Compared with non-Hispanic White adults (22.9%), we found a significantly higher age-adjusted prevalence of arthritis among American Indian/Alaska Native adults (30.3%). Among adults with arthritis, higher age-adjusted prevalence of severe joint pain among American Indian/Alaska Native (39.1%), non-Hispanic Black (36.4%), and Hispanic adults (35.7% vs 22.5% [White]) and higher provider counseling for physical activity among non-Hispanic Black adults (58.9% vs 52.1% [White]) were observed and could not be fully explained by differences in socioeconomic factors, body mass index, depression history, and comorbid conditions. Additional models also containing inability to pay medical bills and food insecurity did not explain racial and ethnic differences.

CONCLUSION

Our findings highlight a need for multilevel interventions to mitigate social and environmental barriers to physical activity and eliminate disparities in individuals with arthritis and severe joint pain.

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.

Neighborhood Walkability, Walking Difficulties, and Participation in Leisure Activities Among Older People: A Cross-Sectional Study and 4-Year Follow-Up of a Subsample

Objectives: To study cross-sectional and longitudinal associations between objectively assessed neighborhood walkability, walking difficulties, and participation in leisure activities among older people. Methods: Self-reported 2 km walking difficulty (intact, modifications, difficulties) at baseline and participating in organized group, outdoor recreation and cultural activities at baseline and follow-up were studied in community-dwelling persons (N = 848) aged 75-90. A walkability index, calculated using a geographic information system, was categorized into tertiles (lowest, middle, highest). Results: Residence in the highest walkability areas was associated with higher participation in cultural activities and lower participation in outdoor recreation, while the latter was most frequently reported by residents in the lowest walkability areas. Those reporting no difficulties were more likely than those reporting difficulties to participate in all studied activities. Residence in the middle or highest walkability areas predicted higher participation in cultural activities at follow-up. Discussion: Older persons activity profiles associate with neighborhood walkability and walking difficulties.

Where you live matters: Area deprivation predicts poor survival and liver transplant waitlisting

Social determinants of health (SDOH) are important predictors of poor clinical outcomes in chronic diseases, but their associations among the general cirrhosis population and liver transplantation (LT) are limited. We conducted a retrospective, multiinstitutional analysis of adult (≥18-years-old) patients with cirrhosis in metropolitan Chicago to determine the associations of poor neighborhood-level SDOH on decompensation complications, mortality, and LT waitlisting. Area deprivation index and covariates extracted from the American Census Survey were aspects of SDOH that were investigated. Among 15 101 patients with cirrhosis, the mean age was 57.2 years; 6414 (42.5%) were women, 6589 (43.6%) were non-Hispanic White, 3652 (24.2%) were non-Hispanic Black, and 2662 (17.6%) were Hispanic. Each quintile increase in area deprivation was associated with poor outcomes in decompensation (sHR [subdistribution hazard ratio] 1.07; 95% CI 1.05-1.10; P < .001), waitlisting (sHR 0.72; 95% CI 0.67-0.76; P < .001), and all-cause mortality (sHR 1.09; 95% CI 1.06-1.12; P < .001). Domains of SDOH associated with a lower likelihood of waitlisting and survival included low income, low education, poor household conditions, and social support (P < .001). Overall, patients with cirrhosis residing in poor neighborhood-level SDOH had higher decompensation, and mortality, and were less likely to be waitlisted for LT. Further exploration of structural barriers toward LT or optimizing health outcomes is warranted.

The moderating effects of greenspace on the association between neighbourhood disadvantage and obesity among mid-to-older aged Australian adults

This study examined whether the association between neighbourhood disadvantage and obesity was moderated by quantity and quality of greenspace. The sample included 2848 mid-to-older aged adults residing in 200 neighbourhoods in Brisbane, Australia from the HABITAT study. Self-reported height and weight were used to calculate body mass index (BMI), neighbourhood disadvantage was measured using a census-derived composite index and greenspace was measured geospatially. We found evidence of moderation by park quality: lower average BMI at higher levels of park quality was shown in the Q3 rather than the Q1 (least disadvantaged) neighbourhood disadvantage group. The findings suggest that, for reducing socioeconomic inequalities in obesity, the quality of greenspace is imperative.

Breast Cancer and Obesity: a Qualitative Analysis of a Diverse Population of Breast Cancer Patients' Perspectives on Weight Management

PURPOSE

Obesity and weight gain in breast cancer survivors leads to a greater risk of recurrence and a decreased chance of survival. A paucity of data exists regarding strengths, weaknesses, and barriers for implementing culturally sensitive, patient-centered interventions for weight management among minority communities. The objective of this study was to evaluate breast cancer patients' experience and perspectives regarding weight management in a racially diverse population.

METHODS

Semi-structured qualitative interviews were conducted with breast cancer patients with a body mass index ≥ 25 kg/m2 regarding their experience with weight management. Interviews were transcribed verbatim, and a thematic analysis was conducted.

RESULTS

Participants (n = 17) most commonly self-identified as non-Hispanic Black (70.6%). Nearly all participants felt comfortable being approached about weight management, yet less than half (41.2%) reported that they knew about the link between breast cancer and body weight prior to the interview. Four themes emerged: (1) lack of knowledge regarding the link between body weight and breast cancer risk, (2) barriers to weight management including family stressors, high cost, mental health issues, and chronic medical conditions, (3) previous attempts at weight loss including bariatric surgery, and (4) best practices for approaching weight management including discussion of weight management prior to survivorship.

CONCLUSION

There is a need for a multidisciplinary, patient-centered weight management program for minority breast cancer patients that improves awareness of the link between weight and breast cancer risk. Weight management should be introduced early on as an element of the treatment plan for breast cancer.

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

INTRODUCTION

Residential food environments are one of the important determinants of cardiovascular health. However, past literature has been limited by short-term follow-ups, time-invariant environmental measurements at baseline, and/or not investigating both healthy and unhealthy aspects of the food environment. This study examines the effects of time-varying healthy and unhealthy food environments on incident cardiovascular disease (CVD) over 10 years, extracting data from the Health and Retirement Study (2006-2016; N=10,413).

METHODS

Cox proportional hazards modeling was performed with inverse probability weighting to assess the association between time-varying food environmental measures (i.e., densities of grocery stores, supercenters/club stores, full-service restaurants, and fast-food restaurants) and incident CVD over 10 years. Education level and race/ethnicity were tested as potential moderators. Analyses were conducted in 2022-2023.

RESULTS

Race/ethnicity had a significant interaction effect with supercenters/club stores and indicated that a 1-standard-deviation increase in the density of supercenters/club stores was associated with a 6%-8% lower risk of incident CVD in non-Hispanic Black (HR=0.78, 95% CI=0.70-0.87) and Hispanic older adults (HR=0.69, 95% CI=0.50-0.96), but not non-Hispanic White older adults. Additionally, education had a significant interaction effect with full-service restaurants, indicating that a 1-standard-deviation increase in the density of full-service restaurants was associated with a 10% lower risk of incident CVD in individuals with 13+ years of schooling, but not those with 0-12 years of schooling.

CONCLUSIONS

Findings suggest that public policymakers should be aware of the benefits and nuances of varying food environment components as they can contribute to positive or negative cardiovascular health.

Indication of mixed glucose and fatty acid use by inferred brown adipose tissue activity in Samoans

OBJECTIVES

Despite the growing rates of global obesity and the known positive associations between brown adipose tissue (BAT) and cardiovascular health, little is known about the metabolic effects of BAT activity in Samoans, a population at high risk of obesity and type II diabetes. Here we assessed the potential effects of inferred BAT activity on metabolic health markers in Samoan adults exposed to mild cold.

METHODS

Using point-of-care finger prick technology we measured fasting glucose, total cholesterol, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) levels before and after 30 min of cold exposure among 61 individuals (38 females, 23 males, ages 31-54) from 'Upolu Island, Samoa. Respiratory quotient was measured by indirect calorimetry to determine substrate metabolism at room temperature and cold exposure.

RESULTS

Fasting glucose levels decreased significantly (p < .001) after cold exposure while neither total cholesterol (p = .88), HDL (p = .312), nor LDL (p = .089) changed. Respiratory quotient decreased significantly (p = .009) between exposures, suggesting an increased preference for lipid metabolism as a response to cold.

CONCLUSIONS

The observed effects of inferred BAT activity on biomarkers suggest BAT activity utilizes both glucose and lipid-derived fatty acids as fuel for thermogenesis. Our work provides evidence for the beneficial metabolic effects of BAT and emphasizes the need for the population-specific development of metabolic treatments involving BAT to ensure the successful and equitable minimization of extreme consequences of obesity and metabolic health.

Determinants of obesity in Latin America

Obesity rates are increasing almost everywhere in the world, although the pace and timing for this increase differ when populations from developed and developing countries are compared. The sharp and more recent increase in obesity rates in many Latin American countries is an example of that and results from regional characteristics that emerge from interactions between multiple factors. Aware of the complexity of enumerating these factors, we highlight eight main determinants (the physical environment, food exposure, economic and political interest, social inequity, limited access to scientific knowledge, culture, contextual behaviour and genetics) and discuss how they impact obesity rates in Latin American countries. We propose that initiatives aimed at understanding obesity and hampering obesity growth in Latin America should involve multidisciplinary, global approaches that consider these determinants to build more effective public policy and strategies, accounting for regional differences and disease complexity at the individual and systemic levels.

Associations between dimensions of the social environment and cardiometabolic risk factors: Systematic review and meta-analysis

Aim

The social environment (SE), including social contacts, norms and support, is an understudied element of the living environment which impacts health. We aim to comprehensively summarize the evidence on the association between the SE and risk factors of cardiometabolic disease (CMD).

Methods

We performed a systematic review and meta-analysis based on studies published in PubMed, Scopus and Web of Science Core Collection from inception to 16 February 2021. Studies that used a risk factor of CMD, e.g., HbA1c or blood pressure, as outcome and social environmental factors such as area-level deprivation or social network size as independent variables were included. Titles and abstracts were screened in duplicate. Study quality was assessed using the Newcastle-Ottawa Scale. Data appraisal and extraction were based on the study protocol published in PROSPERO. Data were synthesized through vote counting and meta-analyses.

Results

From the 7521 records screened, 168 studies reported 1050 associations were included in this review. Four meta-analyses based on 24 associations suggested that an unfavorable social environment was associated with increased risk of cardiometabolic risk factors, with three of them being statistically significant. For example, individuals that experienced more economic and social disadvantage had a higher "CVD risk scores" (OR = 1.54, 95%CI: 1.35 to 1.84). Of the 458 associations included in the vote counting, 323 (71%) pointed towards unfavorable social environments being associated with higher CMD risk.

Conclusion

Higher economic and social disadvantage seem to contribute to unfavorable CMD risk factor profiles, while evidence for other dimensions of the social environment is limited.

Temporal Patterns in Fruit and Vegetable Intake Among Racially and Ethnically Diverse Children and Adolescents in California

Introduction

Childhood dietary behaviors, including fruit and vegetable intake, are associated with adult health. Most children do not meet daily recommended servings of fruits and vegetables. Less is known about temporal patterns in fruit and vegetable consumption or if they vary by race and ethnicity. We investigated temporal patterns in fruit and vegetable intake among California school-age children and adolescents overall and by race and ethnicity.

Methods

We used 2-year cross-sectional datasets from the child and adolescent samples in the California Health Interview Surveys from 2011-2012 through 2019-2020 and modified Poisson regression models to estimate the likelihood of consuming 5 or more servings of fruits and vegetables in 2013-2016 and 2017-2020 compared with 2011-2012. Models controlled for age, race and ethnicity, gender, citizenship status, family income, and adult education and tested for differences by race and ethnicity. The samples included 16,125 children aged 5 to 11 years and 9,672 adolescents aged 12 to 17 years.

Results

Overall, 29.3% of children and 25.9% of adolescents reported intake of 5 or more fruits and vegetables per day. Among children, adjusted prevalence ratios (PR) of fruit and vegetable intake were higher in 2013-2016 (PR,1.25; 95% CI, 1.11-1.42) and 2017-2020 (PR,1.13; 95% CI, 0.99-1.30) compared with 2011-2012. Among adolescents, the adjusted prevalence did not differ significantly over time. We found no evidence of differential associations by race and ethnicity for children and adolescents.

Conclusion

We found favorable temporal changes in fruit and vegetable consumption among children, but not among adolescents. Monitoring temporal patterns in fruit and vegetable intake remains critical for planning population-level interventions to increase consumption.

Obesity Prevention in Early Life (OPEL) study: linking longitudinal data to capture obesity risk in the first 1000 days

To develop robust prediction models for infant obesity risk, we need data spanning multiple levels of influence, including child clinical health outcomes (eg, height and weight), information about maternal pregnancy history, detailed sociodemographic information of parents and community-level factors. Few data sources contain all of this information. This manuscript describes the creation of the Obesity Prevention in Early Life (OPEL) database, a longitudinal, population-based database that links clinical data with birth certificates and geocoded area-level indicators for 19 437 children born in Marion County, Indiana between 2004 and 2019. This brief describes the methodology of linking administrative data, the establishment of the OPEL database, and the clinical and public health implications facilitated by these data. The OPEL database provides a strong basis for further longitudinal child health outcomes studies and supports the continued development of intergenerational linked clinical-public health databases.

The Built Environment and Pediatric Health

Buildings, parks, and roads are all elements of the "built environment," which can be described as the human-made structures that comprise the neighborhoods and communities where people live, work, learn, and recreate (https://www.epa.gov/smm/basic-information-about-built-environment). The design of communities where children and adolescents live, learn, and play has a profound impact on their health. Moreover, the policies and practices that determine community design and the built environment are a root cause of disparities in the social determinants of health that contribute to health inequity. An understanding of the links between the built environment and pediatric health will help to inform pediatricians' and other pediatric health professionals' care for patients and advocacy on their behalf. This technical report describes the range of pediatric physical and mental health conditions influenced by the built environment, as well as historical and persistent effects of the built environment on health disparities. The accompanying policy statement outlines community design solutions that can improve pediatric health and health equity, including opportunities for pediatricians and the health care sector to incorporate this knowledge in patient care, as well as to play a role in advancing a health-promoting built environment for all children and families.

Systematic review of how racialized health inequities are addressed in Epidemiologic Reviews articles (1979-2021): a critical conceptual and empirical content analysis and recommendations for best practices

Critical analysis of the determinants of current and changing racialized health inequities, including the central role of racism, is an urgent priority for epidemiology, for both original research studies and epidemiologic review articles. Motivating our systematic overview review of Epidemiologic Reviews articles is the critical role of epidemiologic reviews in shaping discourse, research priorities, and policy relevant to the social patterning of population health. Our approach was first to document the number of articles published in Epidemiologic Reviews (1979-2021; n = 685) that either: (1) focused the review on racism and health, racial discrimination and health, or racialized health inequities (n = 27; 4%); (2) mentioned racialized groups but did not focus on racism or racialized health inequities (n = 399; 59%); or (3) included no mention of racialized groups or racialized health inequities (n = 250; 37%). We then conducted a critical content analysis of the 27 review articles that focused on racialized health inequities and assessed key characteristics, including (1) concepts, terms, and metrics used regarding racism and racialized groups (notably only 26% addressed the use or nonuse of measures explicitly linked to racism; 15% provided explicit definitions of racialized groups); (2) theories of disease distribution guiding (explicitly or implicitly) the review's approach; (3) interpretation of findings; and (4) recommendations offered. Guided by our results, we offer recommendations for best practices for epidemiologic review articles for addressing how epidemiologic research does or does not address ubiquitous racialized health inequities.

Contributions of Trauma and Economic Insecurity to Psychological Distress in Response to the COVID-19 Pandemic

Background

Racially minoritized women with limited socioeconomic resources are at increased risk for adverse psychological outcomes in response to the COVID-19 pandemic. Disproportionate rates of trauma exposure and economic insecurity likely heighten risk for these outcomes among socioeconomically vulnerable individuals, but the unique contributions of these factors are poorly understood. As such, we examined trauma and economic factors as predictors of pandemic-related psychological distress and symptoms.

Methods

Ninety-six women recruited for a trauma research study (91.7% Black, Mage=38.3 years, SDage=11.8 years) completed measures of trauma exposure, economic insecurity, and several items assessing psychological distress and symptoms related to the COVID-19 pandemic. We examined concern for mental and physical health impacts of COVID-19 as well as changes in self-reported levels of anxiety and anhedonia from the three months prior to the pandemic to the past two weeks. Linear regression analyses were used to assess contributions of trauma exposure and economic insecurity to COVID-19-related distress.

Results

Childhood maltreatment and lifetime trauma exposure did not predict COVID-19-related distress; however, financial concern significantly contributed to concern for the physical health impact of COVID-19 (B = .30, p < .05). Food insecurity emerged as the only significant predictor of concern for mental health impact of COVID-19 (B=.91, p < .01). Housing instability was the only significant predictor of COVID-19-related increases in anhedonia (B = -.30, p < .05).

Conclusions

Economic insecurity, namely self-reported financial concern, food insecurity, and housing instability, was related to COVID-19-related psychological distress in a sample of predominately Black American women living in under-resourced communities. Findings may help identify populations at risk for COVID-19-related psychological distress and symptoms and develop effective interventions, such as expanding access to nutritious food sources and housing support, for minoritized community members.

Hormonal Injustice: Environmental Toxicants as Drivers of Endocrine Health Disparities

The toll of multiple endocrine disorders has increased substantially in recent decades, and marginalized populations bear a disproportionate burden of disease. Because of the significant individual and societal impact of these conditions, it is essential to identify and address all modifiable risk factors contributing to these disparities. Abundant evidence now links endocrine dysfunction with exposure to endocrine-disrupting chemicals (EDCs), with greater exposures to multiple EDCs occurring among vulnerable groups, such as racial/ethnic minorities, those with low incomes, and others with high endocrine disease burdens. Identifying and eliminating EDC exposures is an essential step in achieving endocrine health equity.

University bicycle programming capacity for underrepresented student populations: Pedaling toward equitable opportunities

Purpose: Universities and colleges play a major role in facilitating the behaviors of students into adulthood. Active travel (AT; walking or bicycling for transportation) can provide substantial health benefits, though inequities among bicycling are shown in many underserved populations (racial/ethnic minorities, women, LGBTQ+, disabled, low-income). This study aimed to understand universities' capacity for underserved populations programming on campuses. Methods: Representatives from U.S. universities/colleges participated in an online survey which addressed basic information about university demographics/culture, common barriers and desired tools to reaching underserved students, priorities, and important outcomes. Results: University respondents (n = 51) indicated a lack of programming and implementation of strategies to reach underserved campus populations. Typically, universities ranked equity as a low priority and limited strategies for promoting bicycling reached/targeted underserved populations. Conclusion: There is a notable lack of programs and strategies to engage underserved populations on campus that should be addressed to better serve student health outcomes.

Obesity Management in Adults: A Review

Importance

Obesity affects approximately 42% of US adults and is associated with increased rates of type 2 diabetes, hypertension, cardiovascular disease, sleep disorders, osteoarthritis, and premature death.

Observations

A body mass index (BMI) of 25 or greater is commonly used to define overweight, and a BMI of 30 or greater to define obesity, with lower thresholds for Asian populations (BMI ≥25-27.5), although use of BMI alone is not recommended to determine individual risk. Individuals with obesity have higher rates of incident cardiovascular disease. In men with a BMI of 30 to 39, cardiovascular event rates are 20.21 per 1000 person-years compared with 13.72 per 1000 person-years in men with a normal BMI. In women with a BMI of 30 to 39.9, cardiovascular event rates are 9.97 per 1000 person-years compared with 6.37 per 1000 person-years in women with a normal BMI. Among people with obesity, 5% to 10% weight loss improves systolic blood pressure by about 3 mm Hg for those with hypertension, and may decrease hemoglobin A1c by 0.6% to 1% for those with type 2 diabetes. Evidence-based obesity treatment includes interventions addressing 5 major categories: behavioral interventions, nutrition, physical activity, pharmacotherapy, and metabolic/bariatric procedures. Comprehensive obesity care plans combine appropriate interventions for individual patients. Multicomponent behavioral interventions, ideally consisting of at least 14 sessions in 6 months to promote lifestyle changes, including components such as weight self-monitoring, dietary and physical activity counseling, and problem solving, often produce 5% to 10% weight loss, although weight regain occurs in 25% or more of participants at 2-year follow-up. Effective nutritional approaches focus on reducing total caloric intake and dietary strategies based on patient preferences. Physical activity without calorie reduction typically causes less weight loss (2-3 kg) but is important for weight-loss maintenance. Commonly prescribed medications such as antidepressants (eg, mirtazapine, amitriptyline) and antihyperglycemics such as glyburide or insulin cause weight gain, and clinicians should review and consider alternatives. Antiobesity medications are recommended for nonpregnant patients with obesity or overweight and weight-related comorbidities in conjunction with lifestyle modifications. Six medications are currently approved by the US Food and Drug Administration for long-term use: glucagon-like peptide receptor 1 (GLP-1) agonists (semaglutide and liraglutide only), tirzepatide (a glucose-dependent insulinotropic polypeptide/GLP-1 agonist), phentermine-topiramate, naltrexone-bupropion, and orlistat. Of these, tirzepatide has the greatest effect, with mean weight loss of 21% at 72 weeks. Endoscopic procedures (ie, intragastric balloon and endoscopic sleeve gastroplasty) can attain 10% to 13% weight loss at 6 months. Weight loss from metabolic and bariatric surgeries (ie, laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass) ranges from 25% to 30% at 12 months. Maintaining long-term weight loss is difficult, and clinical guidelines support the use of long-term antiobesity medications when weight maintenance is inadequate with lifestyle interventions alone.

Conclusion and Relevance

Obesity affects approximately 42% of adults in the US. Behavioral interventions can attain approximately 5% to 10% weight loss, GLP-1 agonists and glucose-dependent insulinotropic polypeptide/GLP-1 receptor agonists can attain approximately 8% to 21% weight loss, and bariatric surgery can attain approximately 25% to 30% weight loss. Comprehensive, evidence-based obesity treatment combines behavioral interventions, nutrition, physical activity, pharmacotherapy, and metabolic/bariatric procedures as appropriate for individual patients.

Success and Challenges of Community Bicycle Advocacy Organizations in Reaching Underserved Populations

INTRODUCTION

Bicycling, as forms of recreation and travel, offers many positive physical and mental health benefits, though there are still many disparities in bicycling rates among underserved populations in the United States. Community bicycling advocacy organizations/coalitions promote and advocate for increased bicycling; however, have been shown to have a lack of organizational capacity for equitable programming to diverse populations (racial/ethnic minorities, women, low-income, LGBTQ+ communities, youth). The purpose of this study was to understand the current practices for providing underserved populations bicycling programming among advocacy organizations and to find major barriers and helpful tools for equitable programming.

METHODS

This was conducted in a volunteer sample of U.S. bicycle advocacy organizations. An interview (n = 23) assessed organizational function, successful programs, and barriers to reaching underserved populations.

RESULTS

Several themes emerged from the interviews. Participants stated that the lack of organizational leadership and member diversity, along with a lack of trust with underserved communities, presented major barriers to providing equitable programming. Partnering with other community organizations that place an emphasis on serving diverse populations was noted to have potential for increasing successful programming by allocating resources and connections.

CONCLUSION

Although barriers exist for bicycle advocacy organizations when attempting to reach underserved and diverse populations, groups should focus on creating successful and diverse partnerships to increase the capacity for providing equitable programming.

Physical activity and sedentary behaviour of adolescents and their parents: a specific analysis by sex and socioeconomic status

BACKGROUND

The association of lifestyle habits of parents and of their children has been widely investigated as an important determinant for healthy habits in youth. Although parental sociodemographic characteristics are potential confounding factors in parent-child physical activity (PA) and sedentary behaviour (SB), it is still unclear whether these factors have a moderating role in this association. This study aimed to analyze the association of parent-child PA and SB according to parental sex and economic level in adolescents.

METHODS

The study sample was made up of 1231 adolescents (15.6 ± 1.1 years, 58.2% of girls), 1202 mothers and 871 fathers. The leisure-time and commuting PA was assessed by the Baecke questionnaire, while sedentary behaviour (SB) was assessed according to hours per week of television viewing and computer use, by both adolescents and their parents. Economic status was analyzed using a questionnaire and classified as low, medium, and high. Linear models were used to assess the association of parent-child PA and SB in the different domains according to parental sex and economic level.

RESULTS

Leisure time was associated between boys and their fathers in high (β = 0.23, p = 0.044) and low economic classes (β = 0.31, p < 0.001), and girls and their mothers in low economic class (β = 0.38, p < 0.001). Commuting PA was associated between adolescents and both parents in low economic class (fathers β = 0.21, p = 0.005; mothers (β = 0.15, p = 0.020). TV time of boys was associated with TV time of fathers in low economic class (β = 0.13, p = 0.022) and with TV time of mothers in medium economic class (β = 0.13, p = 0.046). Among girls, TV time was associated with TV time of both parents only in low economic class (fathers β = 0.28, p < 0.001; mothers β = 0.25, p < 0.001). Computer use of girls was associated with computer use of fathers in high economic class (β = 1.72, p = 0.043) and mothers in low economic class (β = 0.57, p = 0.014), while no association was observed among boys.

CONCLUSION

Economic status was shown to be an important moderator of the association between parent-child PA and SB in adolescents.

Effects of Pharmacotherapy for the Treatment of Obesity in an Urban, Safety-Net Population

OBJECTIVE

To evaluate the effect of common weight loss pharmacotherapies among low-income, racially diverse adult patients at an urban safety-net weight management clinic.

METHODS

Our retrospective review from 2015 to 2019 examined patients who took either GLP-1 analog (GL) or phentermine/topiramate (PT) for ≥90 days and patients who exclusively pursued non-pharmacologic treatment for comparison. Changes in weight, blood pressure, and hemoglobin A1c at 1-year follow-up were reported.

RESULTS

We analyzed 22 GL and 26 PT patients and included 40 patients who pursued only lifestyle modifications (LM). All three groups achieved significant weight loss at one year: GL -3.69 (interquartile range (IQR): -11.0, -1.77) kg (p=0.0004), PT -7.01 (IQR: -13.4, -1.45) kg (p<0.001), and LM -3.01 (IQR: -6.81, 1.13) kg (p=0.005). There was no significant difference in the median weight loss (p=0.11) between the three groups. We observed no significant changes in systolic blood pressure but saw a significant change of -0.75 in hemoglobin A1c (IQR: -1.35, -0.25) (p=0.01) among patients with diabetes in the GL group.

CONCLUSIONS

Our real-world applications of GLP-1 and phentermine/topiramate suggest that both are effective weight loss medication regimens in low-socioeconomic status patients.

Associations of Albumin and BMI with Colorectal Cancer Risk in the Southern Community Cohort Study: a Prospective Cohort Study

BACKGROUND

Obesity may increase colorectal cancer (CRC) risk through mechanisms of increased inflammation. Although BMI is the most used adiposity indicator, it may less accurately measure adiposity in Black populations. Herein, we investigate associations between BMI, low albumin as an inflammation biomarker, and CRC risk in a racially diverse cohort.

METHODS

Participant data arise from 71,141 participants of the Southern Community Cohort Study, including 724 incident CRC cases. Within the cohort, 69% are Black. Blood serum albumin concentrations, from samples taken at enrollment, were available for 235 cases and 567 controls. Controls matched by age, sex, and race were selected through incidence density sampling. Cox proportional hazards calculated BMI and CRC risk associations (hazard ratios [HRs]; 95% confidence intervals [CIs]. Conditional logistic regression calculated albumin and CRC risk associations (odds ratios [ORs]; 95%CIs).

RESULTS

Underweight, but not overweight or obese, compared to normal BMI was associated with increased CRC risk (HR:1.75, 95%CI:1.00-3.09). Each standard deviation increase of albumin was associated with decreased CRC risk, particularly for those who self-identified as non-Hispanic Black (OR: 0.56, 95%CI:0.34-0.91), or female (OR:0.54, 95%CI:0.30-0.98), but there was no evidence for interaction by these variables (p-interactions > 0.05). Moreover, albumin concentration was lower in Black than White participants. Mediation analysis suggested that the relation between albumin and CRC was not mediated by BMI.

CONCLUSIONS

Null associations of overweight/obesity with CRC risk demonstrates limited utility of BMI, especially among Black populations. Low albumin may indicate CRC risk. In Black individuals, albumin may better predict adiposity related risks than BMI.

Extreme Violence and Weight-Related Outcomes in Mexican Adults

Sociological research suggests that violent environments contribute to excess weight, a pressing health issue worldwide. However, this research has neglected extreme forms of violence, such as armed conflicts, a theoretically significant omission because armed conflict could reasonably lead to weight loss, not weight gain. I examine the weight-related, short-term consequences of the Mexican "War on Organized Crime." I combine body mass index (N = 3,341) and waist circumference (N = 3,509) measures from the Mexico Family Life Survey with a novel data set on aggressions, confrontations, and executions between 2009 and 2011 (CIDE-PPD database) and exploit variation in the timing of the outcome relative to violent events taking place in the same residential environment. I find a robust and large positive association between armed conflict events and weight gain in adults and suggestive evidence of the behavioral, emotional, and physiological/biochemical pathways connecting those variables.

Challenges and Opportunities in Diagnosis and Management of Cardiometabolic Risk in Adolescents

PURPOSE OF REVIEW

This review aims to elucidate the limitations of diagnosing metabolic syndrome in adolescents as well as challenges and opportunities in the identification and reduction of cardiometabolic risk in this population.

RECENT FINDINGS

There are multiple criticisms of how we define and approach obesity in clinical practice and scientific research, and weight stigma further complicates the process of making and communicating weight-related diagnoses. While the goal of diagnosing and managing metabolic syndrome in adolescents would be to identify individuals at elevated future cardiometabolic risk and intervene to reduce the modifiable component of this risk, there is evidence that identifying cardiometabolic risk factor clustering may be more useful in adolescents than establishing a cutoff-based diagnosis of metabolic syndrome. It has also become clear that many heritable factors and social and structural determinants of health contribute more to weight and body mass index than do individual behavioral choices about nutrition and physical activity. Promoting cardiometabolic health equity requires that we intervene on the obesogenic environment and mitigate the compounding effects of weight stigma and systemic racism. The existing options to diagnose and manage future cardiometabolic risk in children and adolescents are flawed and limited. While striving to improve population health through policy and societal interventions, there are opportunities to intervene at all levels of the socioecological model in order to decrease future morbidity and mortality from the chronic cardiometabolic diseases associated with central adiposity in both children and adults. More research is needed to identify the most effective interventions.

Weight and disordered eating among adolescents from low-income backgrounds

Disordered eating affects youth from varying socioeconomic backgrounds; however, representation of youth from low-income backgrounds within disordered eating research has been limited. The aim of the current study was to examine the association between adolescent weight and disordered eating among a sample of youth from a low-income background and to examine specific socioenvironmental factors that might moderate this association. Adolescents ages 12-17 (N = 73) from a low-income background and their parents/guardians completed self-report questionnaires. Adolescent height and weight were objectively measured to calculate BMI z-score. Adolescent weight was significantly positively associated with global disordered eating (95 % CI [0.26, 0.54]), after controlling for sex. Parental weight concern moderated the association between weight and global disordered eating, F(4, 68) = 18.44, p < .01, such that the relation between adolescent zBMI and disordered eating was no longer significant at low levels of parental weight concern. Structured family meals moderated the association between weight and global disordered eating, F(4, 68) = 11.99, p < .01, such that more frequent meals weakened the association between adolescent zBMI and disordered eating. Findings suggest that higher weight is associated with greater levels of disordered eating among adolescents from a low-income background. In addition, lower levels of parental weight concern and more frequent family meals significantly buffered the association between weight and disordered eating in this at-risk, yet understudied population. Both parental weight concern and family meals present as factors within the family environment that may serve as targets for intervention.

Associations between parenting strategies and BMI percentile among Latino children and youth with intellectual and developmental disabilities

Introduction

Maintaining healthy weight is a challenge for all children, and particularly for children with IDD compared to nondisabled children and for Latino children compared to non-Latino White children. Parenting practices related to food intake and physical activity have been found to be important in maintaining children's weight. In this study, we describe the prevalence of overweight and obesity status among Latino children with IDD and their maternal caregivers and determine the relationship between food and physical activity parenting practices and childhood obesity among Latino children with IDD.

Methods

We interviewed 94 Latino parent/child dyads and collected information about parenting practices, home environment, and parent and child height and weight using standardized measures. Parent body mass index (BMI) and child BMI percentile were calculated from height and weight.

Results

The combined overweight/obesity status for children in our sample was high (60.3%) compared to national rates among nondisabled Latino children (56%) and non-Latino White children with autism (37%). Contrary to research on nondisabled children, we found that greater parental use of controlling dietary strategies was associated with lower BMI percentile in Latino children with IDD. These findings may be indicative of the fact that children with IDD tend to have unique dietary behaviors that warrant more disability and culturally sensitive strategies.

Discussion

Our findings suggest that overweight and obesity is especially prevalent for Latino children with IDD and that more research is needed on family factors that promote health in Latino families of children with IDD.

Examining the impacts of public transit on healthy aging through a natural experiment: study protocols and lessons learned from the Active El Paso project

This paper describes protocols and experiences from a seven-year natural-experiment study in El Paso, Texas, a border city of predominantly Latino/Hispanic population. The study focuses on how Bus Rapid Transit (BRT) impacts physical activity and thus plays a role in alleviating obesity and related chronic diseases that impact healthy aging. Our protocols describe a longitudinal and case-comparison study, which compared residents exposed to new BRT stations with those who were not. This paper also introduces lessons and experiences to overcome the following challenges: delays in the BRT opening (the main intervention), the COVID-19 pandemic, methodological challenges, participant recruitment and retention, and predatory survey takers. Our transdisciplinary approach was pivotal in addressing these challenges. We also proposed and tested multi-level intervention strategies to reduce modifiable barriers to transit use. Our most important takeaway for researchers, practitioners, and policy makers is the importance of being flexible and ready to adapt to new circumstances. Future natural-experiment researchers need to become more versatile in an increasingly volatile and uncertain world.

Pedestrians' perceptions of route environments in relation to deterring or facilitating walking

Background

Every walk takes place in a route environment, and it can play an important role in deterring or facilitating walking, and will always affect the environmental unwell-well-being of pedestrians. The aim of this study is to illuminate which the important route environmental variables are in this respect. The focus is, therefore, on pedestrians' perceptions of route environmental variables and how they relate to overall appraisals of route environments as hindering-stimulating for walking and unsafe-safe for reasons of traffic.

Methods

Commuting pedestrians in the inner urban area of Stockholm, Sweden (n = 294, 49.5 ± 10.4 years, 77% women), were recruited via advertisements. They evaluated their commuting route environments using a self-report tool, the Active Commuting Route Environment Scale (ACRES). Correlation, multiple regression, and mediation analyses were used to study the relationships between the variables and the outcome variables.

Results

Aesthetics and greenery appear to strongly stimulate walking, whereas noise, a proxy for motorized traffic, hinders it. Furthermore, aesthetics is positively related to traffic safety, whereas conflicts have the opposite role. Conflicts is an intermediate outcome, representing several basic environmental variables, some of which were directly and negatively related to unsafe-safe traffic.

Conclusion

Route environmental variables appear to be potent factors in deterring or facilitating walking. This knowledge is of importance for policymakers and urban planners when designing route environments with the aim of attracting new pedestrians, and simultaneously stimulating those who already walk to keep on.

Neighborhood Built Environment and Sleep Health: A Longitudinal Study in Low-Income and Predominantly African-American Neighborhoods

In the present study, we examined the associations between physical characteristics of neighborhoods and sleep health outcomes and assessed the mediating role of physical activity in these associations. A longitudinal study (the Pittsburgh Hill/Homewood Research on Eating, Shopping, and Health (PHRESH) Zzz Study; n = 1,051) was conducted in 2 low-income, predominately African-American neighborhoods in Pittsburgh, Pennsylvania, with repeated measures of neighborhood characteristics and sleep health outcomes from 2013 to 2018. Built environment measures of walkability, urban design, and neighborhood disorder were captured from systematic field observations. Sleep health outcomes included insufficient sleep, sleep duration, wakefulness after sleep onset, and sleep efficiency measured from 7-day actigraphy data. G-computations based on structural nested mean models were used to examine the total effects of each built environment feature, and causal mediation analyses were used to evaluate direct and indirect effects operating through physical activity. Urban design features were associated with decreased wakefulness after sleep onset (risk difference (RD) = -1.26, 95% confidence interval (CI): -4.31, -0.33). Neighborhood disorder (RD = -0.46, 95% CI: -0.86, -0.07) and crime rate (RD = -0.54, 95% CI: -0.93, -0.08) were negatively associated with sleep efficiency. Neighborhood walkability was not associated with sleep outcomes. We did not find a strong and consistent mediating role of physical activity. Interventions to improve sleep should target modifiable factors, including urban design and neighborhood disorder.

Neighborhood deprivation, built environment, and overweight in adolescents in the city of Oslo

BACKGROUND

Even though the social and built environment characteristics of neighborhoods have been studied as potential determinants of social inequalities in obesity among adults, fewer studies have focused on children. Our first aim was to investigate whether there were differences in the food and physical activity environments between different neighborhood deprivation levels in the city of Oslo. We also explored whether there was an association between the prevalence of overweight (including obesity) among adolescents and (i) neighborhood deprivation levels and (ii) food and physical activity environments of the neighborhoods they live in.

METHODS

We conducted a food and physical activity environment mapping (using ArcGIS Pro) in all neighborhoods of Oslo, which were defined by administrative boundaries (sub-districts). The neighborhood deprivation score was calculated based on the percentage of households living in poverty, unemployment in the neighborhood, and residents with low education. A cross-sectional study including 802 seventh graders from 28 primary schools in Oslo residing in 75 out of 97 sub-districts in Oslo was also performed. MANCOVA and partial correlations were ran to compare the built environment distribution between different neighborhood deprivation levels, and multilevel logistic regression analyses were used to explore the effect of neighborhood deprivation and the food and physical activity environments on childhood overweight.

RESULTS

We found that deprived neighborhoods had greater availability of fast food restaurants and fewer indoor recreational facilities compared to low-deprived neighborhoods. Additionally, we observed that the residential neighborhoods of the adolescents with overweight had greater availability of grocery and convenience stores when compared to the residential neighborhoods of the adolescents without overweight. Adolescents living in neighborhoods with high deprivation had a two-fold higher odds (95% CI = 1.1-3.8) to have overweight compared to adolescents living in neighborhoods with low deprivation, regardless of participants' ethnicity and parental education. However, the built environment did not determine the relationship between neighborhood deprivation and overweight in adolescents.

CONCLUSION

The neighborhoods in Oslo with higher deprivation levels had more obesogenic characteristics than the low-deprived neighborhoods. Adolescents living in high-deprived neighborhoods were more likely to have overweight than their counterparts from low-deprived neighborhoods. Thus, preventive measures targeting adolescents from high-deprived neighborhoods should be put in place in order to reduce incidence of overweight.

Association Between County-Level Food Retail and Socioeconomic Environment and Nutritional Quality of Household Food Purchases, 2015

BACKGROUND

About 40 million Americans do not have easy access to affordable nutritious foods. Healthier foods are less likely to be available to those living in rural and/or lower-income communities.

OBJECTIVE

The objective of this study was to analyze the association between nutritional quality of household food purchases and county-level food retail environment; county-level demographic, health, and socioeconomic indicators; and household composition, demographic characteristics, and socioeconomic characteristics.

DESIGN

This study is a secondary analysis of the 2015 Information Resources Inc Consumer Network panel; Purchase-to-Plate Crosswalk, which links US Department of Agriculture nutrition databases to Information Resources Inc scanner data; County Health Rankings; and the Food Environment Atlas data.

PARTICIPANTS AND SETTINGS

A total of 63,285 households, representative of the contiguous US population, consistently provided food purchase scanner data from retail stores throughout 2015.

MAIN OUTCOME MEASURES

Nutritional quality of retail food purchases was assessed using the Healthy Eating Index 2015 (HEI-2015).

STATISTICAL ANALYSIS

Multivariate linear regression analysis was used to simultaneously test the relationship between the main outcome and household-level demographic and socioeconomic characteristics as well as the county-level demographic, health, socioeconomic, and retail food environment.

RESULTS

Household heads who had higher education and households with higher incomes purchased food of better nutritional quality (ie, higher HEI-2015 scores). Also, the association between retail food purchase HEI-2015 scores and the food environment was weak. Higher density of convenience stores was associated with lower retail food purchase nutritional quality for higher-income households and households living in urban counties, whereas low-income households in counties with higher specialty (including ethnic) store density purchased higher nutritional quality food. Both in the full sample and when stratified by household income or county rural vs urban status, no association was found between grocery store, supercenters, fast-food outlets, and full-service restaurant densities and retail food purchase HEI-2015 scores. HEI-2015 scores were negatively correlated with the county average number of mental health days for higher income and urban households.

CONCLUSIONS

The study findings suggest that availability of healthier food alone may not improve healthfulness of retail food purchases. Future studies examining the influence of demand-side factors/interventions, such as habits, cultural preferences, nutrition education, and cost/affordability, on household purchasing patterns could provide complementary evidence to inform effective intervention strategies.

Understanding drivers of micro-level disparities in childhood body mass index, overweight, and obesity within low-income, minority communities

The focus of childhood obesity disparities has been mainly on macro-level disparities, such as, between lower versus higher socioeconomic groups. But, less is known about micro-level disparities, that is disparities within minority and low-income populations. The present study examines individual and family level predictors of micro-level obesity disparities. We analyze data on 497 parent-child dyads living in public housing communities in Watts, Los Angeles. Cross-sectional multivariable linear and logistic regression models were estimated to examine whether individual and family level factors predict children's BMI z-scores, overweight, and obesity in the sample overall and separately by child's gender and age group. Child characteristics of our study sample included mean age 10.9 years, 74.3% Hispanic, 25.7% Non-Hispanic Black, 53.1% female, 47.5% with household income below $10,000, 53.3% with overweight or obesity, and 34.6% with obesity. Parental BMI was the strongest and most consistent predictor of child zBMI, overweight, and obesity, even after controlling for parent's diet and activity behaviors and home environment. The parenting practice of limiting children's screentime was also protective of unhealthy BMI in younger children and females. Home environment, parental diet and activity behaviors, and parenting practices related to food and bedtime routines were not significant predictors. Overall, our findings show that there is considerable heterogeneity in child BMI, overweight, and obesity even within low-income communities with similar socioeconomic and built environments in their neighborhoods. Parental factors play an important role in explaining micro-level disparities and should be an integral part of obesity prevention strategies in low-income minority communities.

Heterogeneity in place effects on health: The case of time preferences and adolescent obesity

We leverage a natural experiment in combination with data on adolescents' time preferences to assess whether there is heterogeneity in place effects on adolescent obesity. We exploit the plausibly exogenous assignment of military servicemembers, and consequently their children, to different installations to identify place effects. Adolescents' time preferences are measured by a validated survey scale. Using the obesity rate in the assigned installation county as a summary measure of its obesity-related environments, we show that exposure to counties with higher obesity rates increases the likelihood of obesity among less patient adolescents but not among their more patient counterparts.

Global human obesity and global social index: Relationship and clustering

Introduction

Obesity, a complex, multifactorial disease, is considered a global disease burden widely affecting the quality of life across different populations. Factors involved in obesity involve genetics, behavior and socioeconomic and environmental origins, each contributing to the risk of debilitating morbidity and mortality. However, the trends across the world vary due to various globalization parameters.

Methods

This article tends to identify the global social indicators, compiled into a global index, and develop a correlation between the global social index created by using the human development index, social and political globalization, the global happiness index, and the quality of infrastructure, institutions, and individuals using the internet factors and its effect on global obesity.

Results and Discussion

Our results identified a positive correlation between medium human development levels with obesity compared to low and very high human development levels. Economic stability due to rapid industrialization has increased the buying capacity and changed the global food system, which seems to be the major driver of the rise of global obesity.

Conclusion

The results decipher that global social indicators and overall social index have positively affected global obesity, which will help policymakers and governmental organizations monitor the obesity patterns across their regions by a significant contribution from globally influenced social factors.

Trends in school-neighbourhood inequalities and youth obesity: Repeated cross-sectional analyses of the public schools in the state of California

BACKGROUND

It is currently unknown whether the relationship between affluence of school neighbourhoods and prevalence of youth overweight/obesity is uniform across demographic subgroups and areal context in the United States.

METHODS

We examined association between school-neighbourhood income tertiles and school-level overweight/obesity (OVOB) prevalence, using data on body mass index of fifth, seventh, and nineth graders who attended public schools in California in 2001 and 2010 (n = 1 584 768), using multiple logistic regression models.

RESULTS

Overall, OVOB prevalence was higher in lower-income school neighbourhoods, with a steeper income-OVOB gradient for girls. Among boys, the gradient became steeper in 2010 than 2000. Among Asian and White girls, the negative gradients were steepest in rural areas. For African-American students in all areas and Latino boys in rural areas, there was less clear evidence of inverse income-OVOB gradients. Addition of fast-food restaurant availability to the models did not change the observed inverse school-neighbourhood income-obesity gradients.

CONCLUSIONS

The findings suggest the needs to investigate reasons for this variability with consideration to combinations of sociodemographic, economic, and environmental risk factors that may contribute to disparities in childhood obesity.

Differences in chronic pain care receipt among veterans from differing racialized groups and the impact of rural versus urban residence

PURPOSE

The current study aimed to identify differences in Veterans Affairs (VA) chronic pain care for Black, Asian, and Hispanic Americans, compared to non-Hispanic White Americans, and examine the intersection of race and rurality.

METHODS

Using national administrative data, all veterans who presented to the VA for chronic pain in 2018 were included. Demographic and comorbidity variables were built from 2018 data and health care utilization variables from 2019 data. Multivariate log-binomial regression models examined differences between racialized groups, and interactions with rural/urban residence, for each health care utilization variable.

FINDINGS

The full cohort included 2,135,216 veterans with chronic pain. There were no differences between racialized groups in pain-related primary care visits. Black Americans were less likely to receive pain clinic visits (aRR = 0.87, CI: 0.86-0.88). Rurality further decreased the likelihood of Black Americans visiting a pain clinic. Black, Hispanic, and Asian Americans were more likely to receive pain-related physical therapy visits relative to White Americans. Black and Hispanic Americans were more likely to present to emergency/urgent care for chronic pain. While there were no differences in pain-related primary care visits, the decreased likelihood of pain clinic visits and increased use of emergency department/urgent care among Black Americans could indicate inadequate management of chronic pain.

CONCLUSIONS

Tailored strategies are needed to provide equitable care that meets the needs of patients from racialized groups while accounting for systemic and cultural factors.

Neighborhood level facilitators and barriers to hypertension management: A Native Hawaiian perspective

Native Hawaiians have a disproportionately high prevalence of hypertension, which is an important and modifiable risk factor for cardiovascular disease (CVD). To reduce CVD among Native Hawaiians, we must better understand facilitators and barriers to hypertension management (i.e., diet, physical activity, stress reduction) unique to Native Hawaiians. Despite evidence of neighborhood-level facilitators and barriers to hypertension management in other populations, there is limited research in Native Hawaiians. Participants from a randomized controlled trial (n = 40) were recruited for 5 focus groups. All participants were self-reported Native Hawaiians and had uncontrolled hypertension. Discussions elicited experiences and perceptions of neighborhood-level stressors as they relate to participants' hypertension management efforts. Audio recordings were transcribed and analyzed using ATLAS.ti for emergent themes. Five themes were identified: neighborhood description, community resources, neighborhood change, safety, and social connectedness. Novel barriers to hypertension control included loss of culture and loss of respect for elders, change in community feel, and over-development. Facilitators included social cohesion and collective power. These data provide a deeper understanding of how Native Hawaiians experience neighborhood factors and how those factors impact their efforts to improve their diets, physical activity, and stress management. The findings help to inform the development of multilevel CVD prevention programs. Further research is needed to explore the subtheme of social and emotional stress related to neighborhood change and CVD health risk due to cultural and historic trauma references.

The impact of social determinants of health on obesity and diabetes disparities among Latino communities in Southern California

BACKGROUND

Social determinants of health (SDoH) describe the complex network of circumstances that impact an individual before birth and across the lifespan. SDoH contextualize factors in a community that are associated with chronic disease risk and certain health disparities. The main objective of this study was to explore the impact of SDoH on the prevalence of obesity and diabetes, and whether these factors explain disparities in these health outcomes among Latinos in Southern California.

METHODS

We utilized three composite indices that encompass different SDoH: the Healthy Places Index (HPI), Social Vulnerability Index (SVI), and CalEnviroScreen (CES). Univariate linear regression models explored the associations between index scores with adult obesity, adult diabetes, and childhood obesity.

RESULTS

Communities with lower HPI scores were associated with higher prevalence of metabolic disease and a greater proportion of Latino residents. Cities in the lowest decile of HPI scores had 71% of the population identifying as Latino compared to 12% in the highest decile. HPI scores explained 61% of the variability in adult obesity (p < 0.001), 41% of the variability in childhood obesity (p < 0.001), and 47% of the variability in adult diabetes (p < 0.001). Similar results were observed when examining SVI and CES with these health outcomes.

CONCLUSIONS

These results suggest that Latinos in Southern California live in communities with adverse SDoH and face a greater burden of adult obesity, diabetes, and childhood obesity.

Mechanisms and contextual factors related to key elements of a successful integrated community-based approach aimed at reducing socioeconomic health inequalities in the Netherlands: A realist evaluation perspective

BACKGROUND

Reducing health inequalities is a challenge for policymakers and civil society. A multisectoral and multilevel approach is most promising to reduce those inequalities. Previous research showed what key elements of Zwolle Healthy City, an integrated community-based approach aimed at reducing socioeconomic health inequalities, are. To fully understand approaches that are complex and context dependent, questions as 'how does the intervention work' and 'in what context does it work' are just as important as 'what works'. The current study aimed to identify mechanisms and contextual factors associated with the key elements of Zwolle Healthy City, using a realist evaluation perspective.

METHODS

Transcripts of semi-structured interviews with a wide range of local professionals were used (n = 29). Following realist evaluation logic in the analysis of this primary data, context-mechanism-outcome configurations were identified and thereafter discussed with experts (n = 5).

RESULTS

How mechanisms (M) in certain contexts (C) were of influence on the key elements (O) of the Zwolle Healthy City approach are described. For example, how, in the context of the responsible aldermen embracing the approach (C), regular meetings with the aldermen (M) increased support for the approach among involved professionals (O). Or, how, in the context of available financial resources (C), assigning a program manager (M) contributed positively to coordination and communication (O). All 36 context-mechanism-outcome configurations can be found in the repository.

CONCLUSION

This study showed what mechanisms and contextual factors are associated with the key elements of Zwolle Healthy City. By applying realist evaluation logic in the analysis of primary qualitative data we were able to disentangle the complexity of processes of this whole system approach and show this complexity in a structured manner. Also, by describing the context in which the Zwolle Healthy City approach is implemented, we contribute to the transferability of this approach across different contexts.

Housing Insecurity Among Patients With Cancer

Social determinants of health are the economic and environmental conditions under which people are born, live, work, and age that affect health. These structural factors underlie many of the long-standing inequities in cancer care and outcomes that vary by geography, socioeconomic status, and race and ethnicity in the United States. Housing insecurity, including lack of safe, affordable, and stable housing, is a key social determinant of health that can influence-and be influenced by-cancer care across the continuum, from prevention to screening, diagnosis, treatment, and survivorship. During 2021, the National Cancer Policy Forum of the National Academies of Science, Engineering, and Medicine sponsored a series of webinars addressing social determinants of health, including food, housing, and transportation insecurity, and their associations with cancer care and patient outcomes. This dissemination commentary summarizes the formal presentations and panel discussions from the webinar devoted to housing insecurity. It provides an overview of housing insecurity and health care across the cancer control continuum, describes health system interventions to minimize the impact of housing insecurity on patients with cancer, and identifies challenges and opportunities for addressing housing insecurity and improving health equity. Systematically identifying and addressing housing insecurity to ensure equitable access to cancer care and reduce health disparities will require ongoing investment at the practice, systems, and broader policy levels.

Associations of Cumulative and Point-in-Time Neighborhood Poverty and Walkability with Body Mass from Age 30 to 39

Few studies examining the effects of neighborhood exposures have accounted for longitudinal residential history. This study examined associations of body mass index (BMI, kg/m2) with neighborhood-level walkability and poverty, both assessed concurrently and cumulatively in the years leading up to BMI assessment. Participants (N = 808) were from a cohort study of individuals originally recruited from public schools in Seattle, Washington, in fifth grade in 1985. Height and weight for BMI were obtained at four assessments at ages: 30 (in 2005), 33, 35, and 39. Participants also completed residential timelines listing each address where they lived from ages 28 to 39, creating a continuous record of addresses and moves. Neighborhood-level walkability and poverty were based on census block groups of each address. Generalized estimating equation models estimated associations of standardized neighborhood variables, both at point-in-time concurrently with assessment of BMI and cumulatively up to the time of BMI assessment. Mean BMI across observations was 28.8 (SD = 7.1). After adjusting for covariates, cumulative walkability was associated with lower BMI (b =  - 0.28; 95% CI: - 0.55, - 0.02), and cumulative neighborhood poverty was associated with higher BMI (b = 0.35; 95% CI: 0.09, 0.60). When examining point-in-time concurrent walkability and poverty with BMI, adjusted associations were close to the null and non-significant. This study provides evidence for a significant role of cumulative exposure to neighborhood built and socioeconomic environments predicting BMI. It underscores the relative strength and importance of cumulative assessments to capture neighborhood exposure not captured through point-in-time assessments.

United States' universities are forgetting about equitable bicycle programming on campus

PURPOSE

Regular participation in bicycling offers many health benefits. Universities throughout the U.S. have a large proportion of underrepresented populations among students/employees (e.g., racial/ethnic minorities, LGBTQ+, disabled) who participate in cycling at lower rates. The purpose of this study was to understand the current practices of universities for implementing equitable bicycling programming to their students/faculty/staff.

METHODS

A volunteer sample of U.S. university bicycle representatives (n = 19) were interviewed to analyze current practices, barriers, motivators, and future tools for equitable programming.

RESULTS

Multiple themes emerged from the interview, including barriers to programming such as lack of personnel and finances, as well as motivators such as partnering with off-campus organizations and connecting community/university infrastructures.

CONCLUSIONS

Although various barriers exist for universities which may present decreased equitable programming, university bicycle/alternative transportation departments should consider partnering with on and off-campus organizations rooted into underrepresented populations to better provide equitable programming to these populations.

Residential Proximity to Urban Play Spaces and Childhood Overweight and Obesity in Barcelona, Spain: A Population-Based Longitudinal Study

Findings on the relationship between play spaces and childhood overweight and obesity are mixed and scarce. This study aimed to investigate the associations between residential proximity to play spaces and the risk of childhood overweight or obesity and potential effect modifiers. This longitudinal study included children living in the city of Barcelona identified in an electronic primary healthcare record database between 2011 and 2018 (N = 75,608). Overweight and obesity were defined according to the WHO standards and we used 300 m network buffers to assess residential proximity to play spaces. We calculated the risk of developing overweight or obesity using Cox proportional hazard models. A share of 29.4% of the study population developed overweight or obesity, but we did not find consistent associations between play space indicators and overweight or obesity. We did not find any consistent sign of effect modification by sex, and only some indications of the modifying role of area socioeconomic status and level of exposure. Although it is not possible to draw clear conclusions from our study, we call for cities to continue increasing and improving urban play spaces with an equitable, healthy, and child-friendly perspective.

Evaluating the Bariatric Safety Net: Analysis of Socioeconomic Factors and Outcomes at a Bariatric Safety Net Program Compared to an Affiliated Private Center

PURPOSE

Obesity is prevalent among economically disadvantaged and racially underrepresented populations. It has been suggested that socioeconomic factors, race, and lifestyle habits are important factors associated with weight loss and comorbidity remission after bariatric surgery. This study analyzes outcomes of bariatric surgery at a private hospital (PH) versus an affiliated safety-net hospital (SNH).

METHODS

Retrospective review of laparoscopic sleeve gastrectomies (LSG) performed by the same surgeons at a PH and SNH in a large metropolitan setting. Demographics, socioeconomic status, insurance status, weight metrics, and perioperative outcomes were compared. A postoperative telephone survey was conducted to study dietary and lifestyle differences between cohorts.

RESULTS

Of the 243 LSG performed, 141 (58%) occurred at PH versus 102 (42%) at SNH. Most patients at SNH were Hispanic, lower socioeconomic status, and had government-sponsored insurance. Based off the results from the postoperative telephone survey, there were no significant differences in dietary and lifestyle habits between both cohorts. Postoperative weight loss outcomes were similar across cohorts. The two groups had similar percent excess weight loss (EWL) at all time points up to 36 months and similar rates of failure to achieve 50% EWL at 12 months. However, patients at PH had greater resolution of diabetes and hypertension after surgery.

CONCLUSION

Our study demonstrates outcomes after bariatric surgery are similar at a PH and its affiliated SNH. Despite differences in race and socioeconomic factors between the two cohorts, perioperative outcomes, short-term postoperative weight loss, and weight loss failure rates were equivalent between SNH and PH patients.

Associations of four indexes of social determinants of health and two community typologies with new onset type 2 diabetes across a diverse geography in Pennsylvania

Evaluation of geographic disparities in type 2 diabetes (T2D) onset requires multidimensional approaches at a relevant spatial scale to characterize community types and features that could influence this health outcome. Using Geisinger electronic health records (2008–2016), we conducted a nested case-control study of new onset T2D in a 37-county area of Pennsylvania. The study included 15,888 incident T2D cases and 79,435 controls without diabetes, frequency-matched 1:5 on age, sex, and year of diagnosis or encounter. We characterized patients’ residential census tracts by four dimensions of social determinants of health (SDOH) and into a 7-category SDOH census tract typology previously generated for the entire United States by dimension reduction techniques. Finally, because the SDOH census tract typology classified 83% of the study region’s census tracts into two heterogeneous categories, termed rural affordable-like and suburban affluent-like, to further delineate geographies relevant to T2D, we subdivided these two typology categories by administrative community types (U.S. Census Bureau minor civil divisions of township, borough, city). We used generalized estimating equations to examine associations of 1) four SDOH indexes, 2) SDOH census tract typology, and 3) modified typology, with odds of new onset T2D, controlling for individual-level confounding variables. Two SDOH dimensions, higher socioeconomic advantage and higher mobility (tracts with fewer seniors and disabled adults) were independently associated with lower odds of T2D. Compared to rural affordable-like as the reference group, residence in tracts categorized as extreme poverty (odds ratio [95% confidence interval] = 1.11 [1.02, 1.21]) or multilingual working (1.07 [1.03, 1.23]) were associated with higher odds of new onset T2D. Suburban affluent-like was associated with lower odds of T2D (0.92 [0.87, 0.97]). With the modified typology, the strongest association (1.37 [1.15, 1.63]) was observed in cities in the suburban affluent-like category (vs. rural affordable-like–township), followed by cities in the rural affordable-like category (1.20 [1.05, 1.36]). We conclude that in evaluating geographic disparities in T2D onset, it is beneficial to conduct simultaneous evaluation of SDOH in multiple dimensions. Associations with the modified typology showed the importance of incorporating governmentally, behaviorally, and experientially relevant community definitions when evaluating geographic health disparities.

Progress in Reducing Disparities in Premature Mortality in the USA: a Descriptive Study

BACKGROUND

Eliminating health disparities among different segments of the US population is an overarching goal of the US Healthy People 2020 objectives.

OBJECTIVE

Examine changes in educational, rural-urban, and racial disparities in premature mortality during the past 10 years.

DESIGN AND PARTICIPANTS

Descriptive analysis of US mortality data from 2007 to 2017.

MAIN MEASURES

Relative and absolute rural-urban, educational attainment, and Black-White disparities in premature mortality for all-cause and top 10 causes of death among persons ages 25-74 years, estimated as rate ratios and rate differences between ≤12 and ≥16 years of education, rural versus urban, and non-Hispanic Black (Black) versus non-Hispanic White (White), respectively, in 2007 and 2017.

KEY RESULTS

During 2007-2017, mortality rates in persons aged 25-74 years in the USA increased for several leading causes of death, especially in persons with <16 years of education, rural residents, and White people. As a result, disparity in mortality between 2007 and 2017 widened on both relative and absolute scales for all-cause and for 6 of the top 10 causes of death by education and for all-cause and for 9 of the top 10 causes by rural/urban residence. In contrast, Black-White disparities narrowed for all-cause and for all 7 causes that Black people had a higher rate than White people. For all-cause mortality for example, absolute disparities in the number of deaths per 100,000 person-years between 2007 and 2017 increased from 454.0 (95%CI, 446.0-462.1) to 542.7 (535.6-549.7) for educational attainment and from 85.8 (82.8-88.8) to 140.5 (137.6-143.4) for rural versus urban; in contrast, absolute Black-White disparity decreased from 315.3 (311.0-319.7) to 221.7 (218.1-225.3).

CONCLUSIONS

Educational and rural-urban disparities in premature mortality widened, whereas Black-White disparities narrowed in the USA between 2007 and 2017, though overall rates remained considerably higher in Black people.

Micro-scale pedestrian streetscapes and physical activity in Hispanic/Latino adults: Results from HCHS/SOL

We examined associations of micro-scale environment attributes (e.g., sidewalks, street crossings) with three physical activity (PA) measures among Hispanic/Latino adults (n = 1776) living in San Diego County, CA. Systematic observation was used to quantify micro-scale environment attributes near each participant's home. Total PA was assessed with accelerometers, and PA for transportation and recreation were assessed by validated self-report. Although several statistically significant interactions between individual and neighborhood characteristics were identified, there was little evidence micro-scale attributes were related to PA. An important limitation was restricted environmental variability for this sample which lived in a small area of a single county.

Advancing Health Equity Efforts to Reduce Obesity: Changing the Course

Population-based solutions are needed to stabilize and then reverse the continued upward trends in obesity prevalence in the US population and worldwide. This review focuses on the related, urgent issue of disparities in obesity prevalence affecting US racial/ethnic minority and other socially marginalized populations. The review provides background on these disparities from a health equity perspective and highlights evidence of progress in equity-focused obesity efforts. Five recommendations for advancing equity efforts are offered as potential approaches to build on progress to date: (a) give equity issues higher priority, (b) adopt a health equity lens, (c) strengthen approaches by using health equity frameworks, (d) broaden the types of policies considered, and (e) emphasize implementation science concepts and tools. Potential challenges and opportunities are identified, including the prospect of longer-term, transformative solutions that integrate global and national initiatives to address obesity, undernutrition, and climate change.