Urban foodscape trends: Disparities in healthy food access in Chicago, 2007-2014

Nourishing Conversations: Using Motivational Interviewing in a Community Teaching Kitchen to Promote Healthy Eating via a Food as Medicine Intervention

It is well known that dietary choices impact both individual and global health. However, there are numerous challenges at the personal and systemic level to fostering sustainable healthy eating patterns. There is a need for innovative ways to navigate these barriers. Food as Medicine (FM) and Culinary Medicine (CM) are approaches to helping individuals achieve healthier diets that also recognize the potential to alleviate the burden of chronic diseases through healthy eating. Teaching kitchens, which offer an interactive environment for learning nutrition and cooking skills, are valuable educational tools for FM and CM interventions. Motivational interviewing (MI), a type of person-centered counseling, facilitates behavior change and may enhance FM and CM programs involving teaching kitchens. In this commentary, we share our experience with using MI in a community-based CM program at a teaching kitchen. In demonstrating our application of MI principles, we hope to offer an additional strategy for improving dietary quality and delivering nutrition education.

Food Choice and Dietary Perspectives of Young, Urban, Black Pregnant Women: A Focus Group Study

Black pregnant women in Chicago are disproportionately affected by maternal morbidity and mortality and are more likely to reside in neighborhoods that experience greater economic hardships and food apartheid than any other race/ethnicity. Addressing social determinants of health such as structural inequities, economic environment, and food apartheid issues may provide insights into eliminating Black maternal morbidity and mortality disparities. This study explores food choice determinants and dietary perspectives of young, urban, Black pregnant women. Two audio-recorded focus groups were conducted in Chicago, IL between March 2019 and June 2019 to discuss pregnancy experiences and factors affecting maternal nutrition. Thematic analysis was used to identify the codes, themes, and subthemes of the data. Data analysis was guided by the Social Ecological Model (SEM) as a theoretical framework. Eleven, young, Black women were recruited. Three major themes were discussed across the SEM levels that influenced food choice including food access, stress and family influences on eating, and the need for nutritional education during pregnancy. These choices were primarily rooted in the detrimental effects of food apartheid experienced within the participants' neighborhoods. Therefore, acknowledging, understanding, and addressing food apartheid and its impact on Black maternal health disparities is needed in clinical practice, research, and policy change.

Food environment trajectories: a sequence analysis from the CARTaGENE cohort

OBJECTIVE

The purpose of this study was to create a typology of longitudinal exposure to food environment based on socio-economic context.

DESIGN

Food environment trajectories were modelled using a sequence analysis method, followed by a logistic regression to describe those trajectories.

SETTING

The study took place in Quebec, Canada, using food environment data from 2009, 2011 and 2018 merged with participants' demographic and socio-economic characteristics.

PARTICIPANT

At recruitment, 38 627 participants between the ages of 40 and 69 years from six urban areas in Quebec were included in the CARTaGENE cohort study. The cohort was representative of the Quebec urban population within this age range.

RESULTS

Our study revealed five trajectories of food access over time: (1) limited access to food stores throughout the study period, (2) limited access improving, (3) good access diminishing, (4) good access throughout the period and (5) low access throughout the period. Logistic regression analysis showed that participants who were unable to work (OR = 1·42, CI = 1·08-1·86), lived in households with five or more persons (OR = 1·69, CI = 1·17-2·42) and those living in low-income households (OR = 1·32, CI = 1·03-1·71) had higher odds of experiencing a disadvantaged food environment trajectory. Additionally, the level of education and age of participants were associated with the odds of experiencing a disadvantaged food environment trajectory.

CONCLUSIONS

The study demonstrates that people facing socio-economic disadvantage are more likely to experience a disadvantaged food environment trajectory over time.

A Neighborhood-level analysis of mental health distress and income inequality as quasi-longitudinal risk of reported COVID-19 infection and mortality outcomes in Chicago

Extant literature investigates the impact of COVID-19 on mental health outcomes, however there is a paucity of work examining mental health distress as a risk factor for COVID-19 outcomes. While systemic variables like income inequality relate to both mental health and COVID-19, more work is needed to test theoretically informed models including such variables. Using a social-ecological framework, we aimed to address these gaps in the literature by conducting a neighborhood-level analysis of potential mental health distress and systemic- (income inequality) level predictors of reported COVID-19 infection and mortality over time in Chicago. Neighborhood-level comparisons revealed differences in mental health distress, income inequality, and reported COVID-19 mortality, but not reported COVID-19 infection. Specifically, Westside and Southside neighborhoods generally reported higher levels of mental health distress and greater concentration of poverty. The Central neighborhood showed a decline in reported mortality rates over time. Multi-level negative binomial models established that Zip-codes with greater mental health distress were at increased reported COVID-19 infection risk, yet lower mortality risk; Zip-codes with more poverty were at increased reported COVID-19 infection risk, yet lower mortality risk; and Zip-codes with the highest percentage of People of Color were at decreased risk of reported COVID-19 mortality. Taken together, these findings substantiate Chicago neighborhood-level disparities in mental health distress, income inequality, and reported COVID-19 mortality; identify unique differential associations of mental health distress and income inequality to reported COVID-19 infection and reported mortality risk; and, offer an alternative lens towards understanding COVID-19 outcomes in terms of race/ethnicity.

Understanding Barriers and Strategies to Accessing Healthy Food in Urban Agriculture for Community Residents in Predominantly Black Communities

BACKGROUND

Some residents in predominantly Black communities face significant challenges in accessing healthy food. However, urban agriculture is a growing sector that aims to increase overall food production, access to affordable and nutritious produce, and potentially improve community food security.

PURPOSE

This study aimed to provide insight into barriers and strategies that urban agriculture growers and advocates identified for accessing urban agriculture markets in their communities.

RESEARCH DESIGN AND STUDY SAMPLE

We interviewed and conducted focus groups with 17 urban growers and local food advocates that work in predominantly Black communities in Chicago.

DATA COLLECTION AND/OR ANALYSIS

Understanding the complexities of access to healthy food can be challenging; therefore, we used the concept of access - accessibility, availability, affordability, accommodation, and acceptability - to better understand these barriers.

RESULTS

Key barriers were the lack of accessibility to traditional food retailers, high availability of processed foods, and cultural acceptability of urban-produced foods.

CONCLUSION

Building urban agriculture networks to support growers, connect with consumers, and emphasize political engagement can help to diversify and grow urban agriculture.

Social Risk Factors That Increase Cardiovascular and Breast Cancer Risk

PURPOSE OF REVIEW

Cardiovascular disease (CVD) and breast cancer (BC) are significant causes of mortality globally, imposing a substantial health burden. This review article aims to examine the shared risk factors and social determinants that contribute to the high prevalence of both diseases, with a focus on social risk factors.

RECENT FINDINGS

The common risk factors for CVD and BC, such as hypertension, diabetes, obesity, aging, and physical inactivity, are discussed, emphasizing their modifiability. Adhering to ideal cardiovascular health behaviors has shown a trend toward lower BC incidence. Increased risk of CVD-related mortality is significantly impacted by age and race in BC patients, especially those over 45 years old. Additionally, racial disparities in both diseases highlight the need for targeted interventions. Social determinants of health, including socioeconomic status, education, employment, and neighborhood context, significantly impact outcomes for both CVD and BC. Addressing social factors is vital in reducing the burden of both CVD and BC and improving overall health equity.

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

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

Anemia prevalence time trends and disparities in the US population: examination of NHANES 1999-2020

While a rising prevalence of anemia in the United States was reported in older studies, recent data are lacking. To estimate the prevalence and time trends of anemia in the United States and to examine how these estimates differ by gender, age, race, and household income to poverty threshold ratio (HIPR), we used the National Health and Nutrition Examination Surveys from 1999 to 2020. The presence of anemia was determined using the World Health Organization criteria. Survey-weighted raw and adjusted prevalence ratios (PRs) were determined using generalized linear models for the overall population and by gender, age, race, and HIPR. In addition, an interaction between gender and race was explored. Complete data on anemia, age, gender, and race were available on 87,554 participants (mean age = 34.6 years, women = 49.8%, Whites = 37.3%). Anemia prevalence increased from 4.03% during the 1999-2000 survey cycle to 6.49% during 2017-2020. In adjusted analyses, anemia prevalence was higher in >65 than in 26-45 years old (PR = 2.14, 95% confidence interval (CI) = 1.95, 2.35), in Blacks than Whites (PR = 3.97, 95% CI = 3.63, 4.35), in women than men (PR = 1.98, 95% CI = 1.83, 2.13), and in those with HIPR ≤ 1 than >4 (PR = 0.68, 95% CI = 0.61, 0.75). Gender modified the relationship between anemia and race; when compared to their male counterparts, Black, Hispanic, and other women had higher anemia prevalence than White women (all interaction p values <0.05). The anemia prevalence in the United States has risen from 1999 to 2020 and remains high among the elderly, minorities, and women. The difference in anemia prevalence between men and women is larger in non-Whites.

Supermarket Proximity and Risk of Hypertension, Diabetes, and CKD: A Retrospective Cohort Study

RATIONALE & OBJECTIVE

Living in environments with low access to food may increase the risk of chronic diseases. We investigated the association of household distance to the nearest supermarket (as a measure of food access) with the incidence of hypertension, diabetes, and chronic kidney disease (CKD) in a metropolitan area of the United States.

STUDY DESIGN

Retrospective cohort study.

SETTING & PARTICIPANTS

777,994 individuals without hypertension, diabetes, or CKD at baseline within the HealthLNK Data Repository, which contains electronic health records from 7 health care institutions in Chicago, Illinois.

EXPOSURE

Zip code-level average distance between households and nearest supermarket.

OUTCOME

Incidence of hypertension, diabetes, and CKD based on presence of ICD-9 code and/or blood pressure≥140/90mm Hg, hemoglobin A1c≥6.5%, and eGFR<60mL/min/1.73m², respectively.

ANALYTICAL APPROACH

Average distance to nearest supermarket was aggregated from street-level metrics for 56 Chicagoland zip codes. The cumulative incidence of hypertension, diabetes, and CKD from 2007-2012 was calculated for each zip code in patients free of these diseases in 2006. Spatial analysis of food access and disease incidence was performed using bivariate local indicator of spatial association (BiLISA) maps and bivariate local Moran I statistics. The relationship between supermarket access and outcomes was analyzed using logistic regression.

RESULTS

Of 777,994 participants, 408,608 developed hypertension, 51,380 developed diabetes, and 56,365 developed CKD. There was significant spatial overlap between average distance to supermarket and incidence of hypertension and diabetes but not CKD. Zip codes with large average supermarket distances and high incidence of hypertension and diabetes were clustered in southern and western neighborhoods. Models adjusted only for neighborhood factors (zip code-level racial composition, access to vehicles, median income) revealed significant associations between zip code-level average distance to supermarket and chronic disease incidence. Relative to tertile 1 (shortest distance), ORs in tertiles 2 and 3, respectively, were 1.27 (95% CI, 1.23-1.30) and 1.38 (95% CI, 1.33-1.43) for diabetes, 1.03 (95% CI, 1.02-1.05) and 1.04 (95% CI, 1.02-1.06) for hypertension, and 1.18 (95% CI, 1.15-1.21) and 1.33 (95% CI, 1.29-1.37) for CKD. Models adjusted for demographic factors and health insurance showed significant and positive association with greater odds of incident diabetes (tertile 2: 1.29 [95% CI, 1.26-1.33]; tertile 3: 1.35 [95% CI, 1.31-1.39]) but lesser odds of hypertension (tertile 2: 0.95 [95% CI, 0.94-0.97]; tertile 3: 0.91 [95% CI, 0.89-0.92]) and CKD (tertile 2: 0.80 [95% CI, 0.78-0.82]; tertile 3: 0.73 [95% CI, 0.72-0.76]). After adjusting for both neighborhood and individual covariates, supermarket distance remained significantly associated with greater odds of diabetes and lesser odds of hypertension, but there was no significant association with CKD.

LIMITATIONS

Unmeasured neighborhood and social confounding variables, zip code-level analysis, and limited individual-level information.

CONCLUSIONS

There are significant disparities in supermarket proximity and incidence of hypertension, diabetes, and CKD in Chicago, Illinois. The relationship between supermarket access and chronic disease is largely explained by individual- and neighborhood-level factors.

The Baltimore Urban Food Distribution (BUD) App: Study Protocol to Assess the Feasibility of a Food Systems Intervention

Low-income urban communities in the United States commonly lack ready access to healthy foods. This is due in part to a food distribution system that favors the provision of high-fat, high-sugar, high-sodium processed foods to small retail food stores, and impedes their healthier alternatives, such as fresh produce. The Baltimore Urban food Distribution (BUD) study is a multilevel, multicomponent systems intervention that aims to improve healthy food access in low-income neighborhoods of Baltimore, Maryland. The primary intervention is the BUD application (app), which uses the power of collective purchasing and delivery to affordably move foods from local producers and wholesalers to the city's many corner stores. We will implement the BUD app in a sample of 38 corner stores, randomized to intervention and comparison. Extensive evaluation will be conducted at each level of the intervention to assess overall feasibility and effectiveness via mixed methods, including app usage data, and process and impact measures on suppliers, corner stores, and consumers. BUD represents one of the first attempts to implement an intervention that engages multiple levels of a local food system. We anticipate that the app will provide a financially viable alternative for Baltimore corner stores to increase their stocking and sales of healthier foods, subsequently increasing healthy food access and improving diet-related health outcomes for under-resourced consumers. The design of the intervention and the evaluation plan of the BUD project are documented here, including future steps for scale-up. Trial registration #: NCT05010018.

Investigating the association between the socioeconomic environment of the service area and fast food visitation: A context-based crystal growth approach

Fast food consumption is one of the major causes of rising obesity rates. Fast food consumers are mostly residents located in the service area-the fast food outlet's surrounding area. Conventional buffer approaches may exhibit bias in measuring service areas by ignoring the local community's detailed spatial configuration and transportation preferences. This study uses fast food outlets and their visits provided by a mobile phone-based dataset named SafeGraph and applies a novel context-based crystal growth algorithm (CG) to delineate improved service areas of fast food outlets in Chicago. We also explore how socioeconomic variables in service areas by CG and buffer-based approaches are related to visits to fast food outlets. Results show that compared to conventional buffers, CG produces improved service areas as it excludes inaccessible barriers and adjusts the accessible areas by transportation preferences. Further, the model using service areas of public transport users by CG yields the best performance. Additionally, the rate of single-mother households and the number of other fast food outlets nearby are positively related to fast food visits in all models. Findings acknowledge the advantages of CG and help make policy interventions to reduce fast food consumption.

Food Acquisition during the COVID-19 Lockdown and Its Associations with the Physical-Digital Integrated Community Food Environment: A Case Study of Nanjing, China

The COVID-19 pandemic and measures such as lockdowns affect food access, dietary choices, and food security. We conducted an online survey among 517 respondents during early 2020 in Nanjing, China to explore respondents' food acquisition behaviors before and during the pandemic and associations with the community food environment. Using geographic analysis and binary logistic models, we revealed that despite inconvenience regarding food acquisition, no food security issues occurred during lockdown in Nanjing. The pandemic changed the access and frequency of obtaining food; meanwhile, pre-pandemic habits had a strong impact on food acquisition behavior. Online and in-store food acquisition showed a substitution relationship, with online food access playing a crucial role in food acquisition. Physical and digit food outlets are highly integrated in Chinese urban communities, and both objectively measured and perceived accessibility of these food outlets had a significant association with the food acquisition methods and transportation mode chosen by people during this public health crisis.

Premiums for Residing in Unfavorable Food Environments: Are People Rational?

The most extensive research areas in the food environment literature include identifying vulnerable dietary environments and studying how these environments affect eating behaviors and health. So far, research on people’s willingness to pay (WTP) for residing in different types of food environments is limited. Therefore, this study aims to estimate WTP for different types of food environments by using spatial hedonic pricing models. The empirical application applies to the Canadian city of Edmonton. The results show that people are willing to pay a premium to live in neighborhoods with poor access to supermarkets and grocery stores (food-desert type) and neighborhoods with excessive access to fast-food restaurants and convenience stores (food-swamp type). Why do rational people prefer to live in disadvantaged food environments? The seemingly counter-intuitive result has its rationality. The premium paid to live in food-desert type environment may reflect people’s dislike of noise, traffic jams, and potential safety issues brought by supermarkets and grocery stores. The WTP for living in food-swamp type environment may reflect people’s preference for convenience and time-saving brought by fast-food consumption in modern urban society. Additionally, the inability of low-income families to afford healthy food may be a deeper reason for choosing to live in neighborhoods with excess access to fast food. To improve the eating environment and encourage healthy lifestyles, the government can encourage healthier fast-food restaurants, provide grocery shopping vouchers, and promote community garden projects.

Interconnected Clinical and Social Risk Factors in Breast Cancer and Heart Failure

Breast cancer and heart failure share several known clinical cardiovascular risk factors, including age, obesity, glucose dysregulation, cholesterol dysregulation, hypertension, atrial fibrillation and inflammation. However, to fully comprehend the complex interplay between risk of breast cancer and heart failure, factors attributed to both biological and social determinants of health must be explored in risk-assessment. There are several social factors that impede implementation of prevention strategies and treatment for breast cancer and heart failure prevention, including socioeconomic status, neighborhood disadvantage, food insecurity, access to healthcare, and social isolation. A comprehensive approach to prevention of both breast cancer and heart failure must include assessment for both traditional clinical risk factors and social determinants of health in patients to address root causes of lifestyle and modifiable risk factors. In this review, we examine clinical and social determinants of health in breast cancer and heart failure that are necessary to consider in the design and implementation of effective prevention strategies that altogether reduce the risk of both chronic diseases

Investigation of Whether People Are Willing to Pay a Premium for Living in Food Swamps: A Study of Edmonton, Canada

Extensive studies have examined how unfavorable food environments, especially food swamps (neighborhoods with oversaturated unhealthy food sources), influence people’s dietary behaviors and health. Although excess fast-food consumption may have an adverse effect on health, it also benefits consumers due to its convenience, time saving, and affordability. Therefore, people’s preference for an unhealthy food environment is not necessarily negative. Understanding how people value or disvalue unhealthy food environments is a prerequisite for developing effective policies to promote good diet habits and improve public health. Thus, this study adopts spatial hedonic pricing models to estimate people’s willingness to pay to live in food swamps. The results show that people are willing to pay a premium to live in food swamps when taking low income and low healthy-to-unhealthy food ratios into consideration. On average, a household is willing to pay a premium of C$12,309 to reside in a food swamp neighborhood. Potential reasons for the positive willingness to pay among low-income communities and households with relatively limited access to healthy food may include the unaffordability of healthy diets, preference for better tastes, and time saved in fast-food consumption. These findings can help policymakers evaluate the effectiveness of relevant policies and develop targeted strategies to improve the local food environment.

Community-Level Factors Associated With Geographic Access to Food Retailers Offering Nutrition Incentives in Chicago, Illinois

Introduction

Nutrition incentive programs provide low-income populations with a monetary resource to make healthy foods affordable and accessible. This study aimed to use geospatial analysis to evaluate availability of the Link Match nutrition incentive program in Chicago, Illinois, to determine whether underresourced communities have access.

Methods

We obtained 2018 spatial data on census tract–level sociodemographic characteristics in Chicago. Fifty-seven retailers (eg, farmers markets, food cooperatives) offered Link Match across the city’s 801 census tracts. We examined ordinary least squares and spatial lag regression models to identify census tract–level variables associated with distance (in miles) from the nearest Link Match retailer. Variables of interest included percentage of non-Hispanic Black residents, percentage of Hispanic residents, median household income, violent crime rate, per capita grocery store availability, and walkability.

Results

Most Link Match retailers were located on Chicago’s South and West sides. Ordinary least squares regression models indicated that low-income census tracts were on average closer to a Link Match retailer than higher-income tracts were (P < .001). Tracts in the highest quartile of violent crime were also significantly closer to a Link Match retailer than tracts in the lowest quartile (P < .001). After accounting for spatial dependency of census tracts, only violent crime rate was significantly associated with distance to nearest Link Match retailer.

Conclusion

Link Match retailers in Chicago appear to be in underresourced communities. However, these areas have high violent crime rates, which may negatively influence program use. Additional research is needed on how social and environmental factors influence availability and use of nutrition incentive programs.

User Perception of Public Parks: A Pilot Study Integrating Spatial Social Media Data with Park Management in the City of Chicago

User-generated content (UGC) is a relatively young field of research; however, it has been proven useful in disciplines such as hospitality and tourism, to elicit public opinions of place usage. In landscape architecture and urban planning, UGC has been used to understand people’s emotions and movement in a space, while other areas and additional functions are yet to be discovered. This paper explores the capability of UGC in revealing city-scale park management problems and the applicability of social media as a future tool in bridging visitor feedback to city parks and recreation department staff. This research analyzed the spatial characteristics and patterns of Google Maps review quantity, rating score, and review comments. The results of this pilot study indicate the spatial and structural features of the Chicago parks and demonstrate distribution problems, financial investment priority concerns, park usage characteristics, and user preferences of the park attributes. Findings affirm that user-generated online reviews can be used as an alternative and self-reporting data source to effectively assess the natural performance and users’ experience of city parks and can potentially serve as an evaluative tool for public park management.

Benchmarking Human Performance for Visual Search of Aerial Images

Aerial images are frequently used in geospatial analysis to inform responses to crises and disasters but can pose unique challenges for visual search when they contain low resolution, degraded information about color, and small object sizes. Aerial image analysis is often performed by humans, but machine learning approaches are being developed to complement manual analysis. To date, however, relatively little work has explored how humans perform visual search on these tasks, and understanding this could ultimately help enable human-machine teaming. We designed a set of studies to understand what features of an aerial image make visual search difficult for humans and what strategies humans use when performing these tasks. Across two experiments, we tested human performance on a counting task with a series of aerial images and examined the influence of features such as target size, location, color, clarity, and number of targets on accuracy and search strategies. Both experiments presented trials consisting of an aerial satellite image; participants were asked to find all instances of a search template in the image. Target size was consistently a significant predictor of performance, influencing not only accuracy of selections but the order in which participants selected target instances in the trial. Experiment 2 demonstrated that the clarity of the target instance and the match between the color of the search template and the color of the target instance also predicted accuracy. Furthermore, color also predicted the order of selecting instances in the trial. These experiments establish not only a benchmark of typical human performance on visual search of aerial images but also identify several features that can influence the task difficulty level for humans. These results have implications for understanding human visual search on real-world tasks and when humans may benefit from automated approaches.

To plant a garden is to believe in tomorrow: A case study of a Chicago community-based organization focused on health education through school gardens

Nutrition education through school-based garden programs is a promising intervention to promote youth health and development. Gardeneers is a Chicago-based nonprofit, leading garden programming across area schools. To better understanding their impact on youth health, Gardeneers aimed to define their model more clearly. Using a collective case study design, this mixed-method, formative program evaluation focused on describing program implementation variation across schools. General program design included nutrition education through hands-on garden-based learning. Stakeholder engagement was a strength for some schools and a challenge for others. Sustainability was an ongoing challenge for all schools, particularly funding. Priority student outcomes also varied between schools. Adaptability is core to Gardeneers' approach-the challenge lies in replicable program design and manageable growth, but the strength lies in the ability to meet specific school and student needs. Using these findings, Gardeneers refined their program model and identified program improvements opportunities.

A Spatial Analysis of Obesity: Interaction of Urban Food Environments and Racial Segregation in Chicago

The obesity rate in Chicago has increased up to more than 30% in the last two decades. Obesity is a major problem in Chicago, where 36% of the city's high school students and 61% of adults in the metropolitan area are overweight or obese. Simultaneously, Chicago remains highly segregated by race-a phenomenon that begs for spatial analysis of health. Extant work exploring associations between the food retail environment and obesity has provided mixed findings, and virtually, none of this work has been done with the effects of the interaction between racial segregation and the food retail environment on obesity, where obesity rates are among the highest in the segregation area for the city defined by racial segregation. This study explores whether being overweight or obese is associated with urban food environments, such as access to different types of food retail outlets, and how its associations interact with racial factors, at the community level. This study uses the 2016-2018 data from the Healthy Chicago Survey to investigate the spatial variations in obesity and their association with food environments in Chicago. Also, this study examines the moderating effects of racial segregation on associations between obesity and access to food retail outlets. Using spatial statistics and regression models with interaction terms, this study assesses how the urban food environment can interact with racial segregation to explain the spatial distribution of obesity. The results indicate that the obesity population is highly concentrated in the African American community. In Chicago, each additional convenience store in a community is associated with a 0.42% increase in the obesity rate. Fast food restaurant access is predictive of a greater obesity rate, and grocery store access is predictive of less obesity rate in a community with a higher percentage of African American population. Findings can be used to promote equitable access to food retail outlets, which may help reduce broader health inequities in Chicago.

Examining changes to food and beverage availability and marketing in a low-income community after the opening of a new supermarket

OBJECTIVE

In 2016, a Whole Foods Market© opened in the Englewood community of Chicago, IL - a predominately low-income African American community. This study aimed to examine changes to food and beverage availability and marketing in Englewood's existing food stores after the opening of this supermarket.

DESIGN

Quasi-experimental study.

SETTING

Two low-income African American communities in Chicago, IL.

PARTICIPANTS

Fieldworkers audited all small grocery and limited service stores (e.g. convenience stores, liquor stores and dollar/discount stores) located within one-square mile of the new supermarket and a one-square mile area of a demographically comparable community that also lacked a supermarket. Stores were audited before (2016) and after (2017 and 2018) the supermarket opened.

RESULTS

Of the 78 stores audited at baseline, 71·8 % were limited service stores and 85·9 % accepted Supplemental Nutrition Assistance Program (SNAP) benefits. Overall, the availability of healthy food and beverage options in nearby small stores was low at baseline and both follow-up periods. Difference-in-difference regression models revealed a significant increase in: (1) the percentage of stores in the intervention community (i.e. Englewood) offering regular cheese and promoting salty snacks at check-out from 2016 to 2017; and (2) the percentage of stores in the comparison community with interior store promotions for other sweetened beverages from 2016 to 2018.

CONCLUSIONS

Minimal changes in food and beverage availability and marketing occurred 1 and 2 years after the opening of a new supermarket. However, the wide range of staple food items offered by the supermarket expanded healthy food retail in Chicago's Englewood community.

Impacts of the 2008 Great Recession on dietary intake: a systematic review and meta-analysis

Background

The 2008 Great Recession significantly impacted economies and individuals globally, with potential impacts on food systems and dietary intake. We systematically reviewed evidence on the impact of the Great Recession on individuals’ dietary intake globally and whether disadvantaged individuals were disproportionately affected.

Methods

We searched seven databases and relevant grey literature through June 2020. Longitudinal quantitative studies with the 2008 recession as the exposure and any measure of dietary intake (energy intake, dietary quality, and food/macronutrient consumption) as the outcome were eligible for inclusion. Eligibility was independently assessed by two reviewers. The Newcastle Ottawa Scale was used for quality and risk of bias assessment. We undertook a random effects meta-analysis for changes in energy intake. Harvest plots were used to display and summarise study results for other outcomes. The study was registered with PROSPERO (CRD42019135864).

Results

Forty-one studies including 2.6 million people met our inclusion criteria and were heterogenous in both methods and results. Ten studies reported energy intake, 11 dietary quality, 34 food intake, and 13 macronutrient consumption. The Great Recession was associated with a mean reduction of 103.0 cal per adult equivalent per day (95% Confidence Interval: − 132.1, − 73.9) in high-income countries (5 studies) and an increase of 105.5 cal per adult per day (95% Confidence Interval: 72.8, 138.2) in middle-income countries (2 studies) following random effects meta-analysis. We found reductions in fruit and vegetable intake. We also found reductions in intake of fast food, sugary products, and soft drinks. Impacts on macronutrients and dietary quality were inconclusive, though suggestive of a decrease in dietary quality. The Great Recession had greater impacts on dietary intake for disadvantaged individuals.

Conclusions

The 2008 recession was associated with diverse impacts on diets. Calorie intake decreased in high income countries but increased in middle income countries. Fruit and vegetable consumption reduced, especially for more disadvantaged individuals, which may negatively affect health. Fast food, sugary products, and soft drink consumption also decreased which may confer health benefits. Implementing effective policies to mitigate adverse nutritional changes and encourage positive changes during the COVID-19 pandemic and other major economic shocks should be prioritised.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-021-01125-8.

Evidence That Changes in Community Food Environments Lead to Changes in Children's Weight: Results from a Longitudinal Prospective Cohort Study

BACKGROUND

Strategies to improve the community food environment have been recommended for addressing childhood obesity, but evidence substantiating their effectiveness is limited.

OBJECTIVE

Our aim was to examine the impact of changes in availability of key features of the community food environment, such as supermarkets, small grocery stores, convenience stores, upgraded convenience stores, pharmacies, and limited service restaurants, on changes in children's body mass index z scores (zBMIs).

DESIGN

We conducted a longitudinal cohort study.

PARTICIPANTS/SETTING

Two cohorts of 3- to 15-year-old children living in 4 low-income New Jersey cities were followed during 2- to 5-year periods from 2009 through 2017. Data on weight status were collected at 2 time points (T1 and T2) from each cohort; data on food outlets in the 4 cities and within a 1-mile buffer around each city were collected multiple times between T1 and T2.

MAIN OUTCOME MEASURES

We measured change in children's zBMIs between T1 and T2.

STATISTICAL ANALYSIS

Changes in the food environment were conceptualized as exposure to changes in counts of food outlets across varying proximities (0.25 mile, 0.5 mile, and 1.0 mile) around a child's home, over different lengths of time a child was exposed to these changes before T2 (12 months, 18 months, and 24 months). Multivariate models examined patterns in relationships between changes in zBMI and changes in the food environment.

RESULTS

Increased zBMIs were observed in children with greater exposure to convenience stores over time, with a consistent pattern of significant associations across varying proximities and lengths of exposure. For example, exposure to an additional convenience store over 24 months within 1 mile of a child's home resulted in 11.7% higher odds (P = 0.007) of a child being in a higher zBMI change category at T2. Lower zBMIs were observed in children with increased exposure to small grocery stores selling an array of healthy items, with exposure to an additional small grocery store within 1 mile over 24 months, resulting in 37.3% lower odds (P < 0.05) of being in a higher zBMI change category at T2. No consistent patterns were observed for changes in exposure to supermarkets, limited service restaurants, or pharmacies.

CONCLUSIONS

Increased availability of small grocery stores near children's homes may improve children's weight status, whereas increased availability of convenience stores is likely to be detrimental.

Online biology degree program broadens access for women, first-generation to college, and low-income students, but grade disparities remain

Online education has grown rapidly in recent years with many universities now offering fully online degree programs even in STEM disciplines. These programs have the potential to broaden access to STEM degrees for people with social identities currently underrepresented in STEM. Here, we ask to what extent is that potential realized in terms of student enrollment and grades for a fully online degree program. Our analysis of data from more than 10,000 course-enrollments compares student demographics and course grades in a fully online biology degree program to demographics and grades in an equivalent in-person biology degree program at the same university. We find that women, first-generation to college students and students eligible for federal Pell grants constitute a larger proportion of students in the online program compared to the in-person mode. However, the online mode of instruction is associated with lower course grades relative to the in-person mode. Moreover, African American/Black, Hispanic/Latinx, Native American, and Pacific Islander students as well as federal Pell grant eligible students earned lower grades than white students and non-Pell grant eligible students, respectively, but the grade disparities were similar among both in-person and online student groups. Finally, we find that grade disparities between men and women are larger online compared to in-person, but that for first-generation to college women, the online mode of instruction is associated with little to no grade gap compared to continuing generation women. Our findings indicate that although this online degree program broadens access for some student populations, inequities in the experience remain and need to be addressed in order for online education to achieve its inclusive mission.

Cohort profile: the ChicagO Multiethnic Prevention and Surveillance Study (COMPASS)

PURPOSE

The ChicagO Multiethnic Prevention and Surveillance Study or 'COMPASS' is a population-based cohort study with a goal to examine the risk and determinants of cancer and chronic disease. COMPASS aims to address factors causing and/or exacerbating health disparities using a precision health approach by recruiting diverse participants in Chicago, with an emphasis on those historically underrepresented in biomedical research.

PARTICIPANTS

Nearly 8000 participants have been recruited from 72 of the 77 Chicago community areas. Enrolment entails the completion of a 1-hour long survey, consenting for past and future medical records from all sources, the collection of clinical and physical measurement data and the on-site collection of biological samples including blood, urine and saliva. Indoor air monitoring data and stool samples are being collected from a subset of participants. On collection, all biological samples are processed and aliquoted within 24 hours before long-term storage and subsequent analysis.

FINDINGS TO DATE

The cohort reported an average age of 53.7 years, while 80.5% identified as African-American, 5.7% as Hispanic and 47.8% as men. Over 50% reported earning less than US$15 000 yearly, 35% were obese and 47.8% were current smokers. Moreover, 38% self-reported having had a diagnosis of hypertension, while 66.4% were measured as hypertensive at enrolment.

FUTURE PLANS

We plan to expand recruitment up to 100 000 participants from the Chicago metropolitan area in the next decade using a hybrid community and clinic-based recruitment framework that incorporates data collection through mobile medical units. Follow-up data collection from current cohort members will include serial samples, as well as longitudinal health, lifestyle and behavioural assessment. We will supplement self-reported data with electronic medical records, expand the collection of biometrics and biosamples to facilitate increasing digital epidemiological study designs and link to state and/or national level databases to ascertain outcomes. The results and findings will inform potential opportunities for precision disease prevention and mitigation in Chicago and other urban areas with a diverse population.

REGISTRATION

NA.

Effect of Neighborhood Food Environment and Socioeconomic Status on Serum Phosphorus Level for Patients on Chronic Dialysis

BACKGROUND

Elevated blood phosphorus levels are common and associated with a greater risk of death for patients receiving chronic dialysis. Phosphorus-rich foods are prevalent in the American diet, and low-phosphorus foods, including fruits and vegetables, are often less available in areas with more poverty. The relative contributions of neighborhood food availability and socioeconomic status to phosphorus control in patients receiving dialysis are unknown.

METHODS

Using longitudinal data from a national dialysis provider, we constructed hierarchical, linear mixed-effects models to evaluate the relationships between neighborhood food environment or socioeconomic status and serum phosphorus level among patients receiving incident dialysis.

RESULTS

Our cohort included 258,510 patients receiving chronic hemodialysis in 2005-2013. Median age at dialysis initiation was 64 years, 45% were female, 32% were Black, and 15% were Hispanic. Within their residential zip code, patients had a median of 25 "less-healthy" food outlets (interquartile range, 11-40) available to them compared with a median of four "healthy" food outlets (interquartile range, 2-6). Living in a neighborhood with better availability of healthy food was not associated with a lower phosphorus level. Neighborhood income also was not associated with differences in phosphorus. Patient age, race, cause of ESKD, and mean monthly dialysis duration were most closely associated with phosphorus level.

CONCLUSIONS

Neither neighborhood availability of healthy food options nor neighborhood income was associated with phosphorus levels in patients receiving chronic dialysis. Modifying factors, such as nutrition literacy, individual-level financial resources, and adherence to diet restrictions and medications, may be more powerful contributors than food environment to elevated phosphorus.

Comparison of food and beverage products' availability, variety, price and quality in German and US supermarkets

Objective:

To assess availability, variety, price and quality of different food products in a convenience sample of supermarkets in Germany and the USA.

Design:

Cross-sectional study using an adapted version of the Bridging the Gap Food Store Observation Form.

Setting:

Information on availability, quality, price and variety of selected food products in eight German and seven US supermarkets (discount and full service) was obtained and compared by country.

Results:

A general tendency for lower prices of fruits and vegetables in Germany was observed, while produce quality and variety did not seem to differ between countries, with the exception of the variety of some vegetables such as tomatoes. Chips and cereals did not differ significantly in variety nor price. In both countries, high energy-dense foods were lower in energy costs than lower energy-dense foods.

Conclusions:

The influence of food prices and availability on consumption should be further explored, including the impact of country differences.

Google-truthing to assess hot spots of food retail change: A repeat cross-sectional Street View of food environments in the Bronx, New York

Google Street View (GSV) images can be used to "ground-truth" current and historical food retail data from approximately 2007 - when GSV was launched in a few US cities - to the present, facilitating analyses of food environments over time. A review of GSV images of all food retailers listed in a government database of licensed establishments in the Bronx, New York enabled records to be verified, businesses classified, and retail change quantified. The data revealed several trends likely to affect food access and health: increasing overall numbers of food retailers; the growth of dollar stores; and numerous openings, closings, and ownership changes across all food retail segments. Hot spot analysis identified statistically significant clusters of new dollar stores and bodegas, purveyors of less healthy processed foods, in lower-income neighborhoods in the South Bronx that face elevated rates of diet-related diseases. This article demonstrates the benefits and limitations of using GSV to conduct "virtual" food environment research.

Foodscape: A scoping review and a research agenda for food security-related studies

Since 1995, the term ‘foodscape’, a contraction of food and landscape, has been used in various research addressing social and spatial disparities in public health and food systems. This article presents a scoping review of the literature examining how this term is employed and framed. We searched publications using the term foodscape in the Web of Science Core Collection, MEDLINE, and Scopus databases. Analyzing 140 publications, we highlight four approaches to the foodscape: (i) Spatial approaches use statistics and spatial analysis to characterize the diversity of urban foodscapes and their impacts on diet and health, at city or neighborhood scales. (ii) Social and cultural approaches at the same scales show that foodscapes are socially shaped and highlight structural inequalities by combining qualitative case studies and quantitative surveys of food procurement practices. (iii) Behavioral approaches generally focus on indoor micro-scales, showing how consumer perceptions of foodscapes explain and determine food behaviors and food education. (iv) Systemic approaches contest the global corporate food regime and promote local, ethical, and sustainable food networks. Thus, although spatial analysis was the first approach to foodscapes, sociocultural, behavioral and systemic approaches are becoming more common. In the spatial approach, the term ‘foodscape’ is synonymous with ‘food environment’. In the three other approaches, ‘foodscape’ and ‘food environment’ are not synonymous. Scholars consider that the foodscape is not an environment external to individuals but a landscape including, perceived, and socially shaped by individuals and policies. They share a systemic way of thinking, considering culture and experience of food as key to improving our understanding of how food systems affect people. Foodscape studies principally address three issues: public health, social justice, and sustainability. The review concludes with a research agenda, arguing that people-based and place-based approaches need to be combined to tackle the complexity of the food-people-territory nexus.

Crowdsourced Mapping for Healthy Food Accessibility in Dallas, Texas: A Feasibility Study

Since its first use for describing a neighborhood lacking access to food in the 1990's, “food deserts” has been widely addressed by researchers and adopted as an indicator of neighborhood-level food insecurity by governmental agencies, such as USDA. However, mostly due to cost and difficulty in collecting georeferenced data and characteristics of grocery stores, the USDA Food Access Research Atlas is infrequently released, and considers only income, vehicle ownership, and distance to the nearest grocery store. In this paper, we explored the feasibility of a crowdsourced geospatial data source, coupled with additional measures, in supplementing the USDA's current designation of food deserts. We used Yelp data to map food deserts in the city of Dallas and compared them with those based on the 2015 USDA food retailer database. Although direct comparison was not possible due to time mismatch between the two data sources, the discrepancies highlighted the need of a more frequent identification of food deserts for timely policy intervention. Furthermore, we extended mapping to reveal other potential areas of concerns, by adding the Transit Score metric and Yelp's price descriptor of businesses. The resulting maps illustrated the areas with grocery stores nearby but with limited accessibility due to lack of public transit or potential financial barriers in purchasing foods due to high prices. Our findings demonstrate the current status and future potential of up-to-date crowdsourced, georeferenced data as a complement of official government data, which could serve to extend food access research and guide health policies.

Chicago supermarket data and food access analytics in census tract shapefiles for 2007-2014

Longitudinal analysis of supermarkets over time is essential to understanding the dynamics of foodscape environments for healthy living. Supermarkets for 2007, 2011, and 2014 for the City of Chicago were curated and further validated. The average distance to all supermarkets along the street network was constructed for each resident-populated census tract. These analytic results were generated with GIS software and stored as spatially enabled data files, facilitating further research and analysis. The data presented in this article are related to the research article entitled “Urban foodscape trends: Disparities in healthy food access in Chicago, 2007–2014” (Kolak et al., 2018).