Built environment and obesity by urbanicity in the U.S

Built environment and childhood obesity

Childhood obesity, an escalating global health challenge, is intricately linked to the built environment in which children live, learn, and play. This review and perspective examined the multifaceted relationship between the built environment and childhood obesity, offering insights into potential interventions for prevention. Factors such as urbanization, access to unhealthy food options, sedentary behaviors, and socioeconomic disparities are critical contributors to this complex epidemic. Built environment encompasses the human-modified spaces such as homes, schools, workplaces, and urban areas. These settings can influence children's physical activity levels, dietary habits, and overall health. The built environment can be modified to prevent childhood obesity by enhancing active transportation through the development of safe walking and cycling routes, creating accessible and inviting green spaces and play areas, and promoting healthy food environments by regulating fast-food outlet density. School design is another area for intervention, with a focus on integrating outdoor spaces and facilities that promote physical activity and healthy eating. Community engagement and education in reinforcing healthy behaviors is necessary, alongside the potential of technology and innovation in encouraging physical activity among children. Policy and legislative support are crucial for sustaining these efforts. In conclusion, addressing the built environment in the fight against childhood obesity requires the need for a comprehensive, multipronged approach that leverages the built environment as a tool for promoting healthier lifestyles among children, ultimately paving the way for a healthier, more active future generation.

Associations of Historical Redlining With BMI and Waist Circumference in Coronary Artery Risk Development in Young Adults

Introduction

Historical maps of racialized evaluation of mortgage lending risk (i.e., redlined neighborhoods) have been linked to adverse health outcomes. Little research has examined whether living in historically redlined neighborhoods is associated with obesity, differentially by race or gender.

Methods

This is a cross-sectional study to examine whether living in historically redlined neighborhoods is associated with BMI and waist circumference among Black and White adults in 1985-1986. Participants' addresses were linked to the 1930s Home Owners' Loan Corporation maps that evaluated mortgage lending risk across neighborhoods. The authors used multilevel linear regression models clustered on Census tract, adjusted for confounders to estimate main effects, and stratified, and interaction models by (1) race, (2) gender, and (3) race by gender with redlining differentially for Black versus White adults and men versus women. To better understand strata differences, they compared Census tract-level median household income across race and gender groups within Home Owners' Loan Corporation grade.

Results

Black adults (n=2,103) were more likely than White adults (n=1,767) to live in historically rated hazardous areas and to have higher BMI and waist circumference. Redlining and race and redlining and gender interactions for BMI and waist circumference were statistically significant (p<0.10). However, in stratified analyses, the only statistically significant associations were among White participants. White participants living in historically rated hazardous areas had lower BMI (β = - 0.63 [95% CI= -1.11, -0.15]) and lower waist circumference (β = - 1.50 [95% CI= -2.62, -0.38]) than those living in declining areas. Within each Home Owners' Loan Corporation grade, residents in White participants' neighborhoods had higher incomes than those living in Black participants' neighborhoods (p<0.0001). The difference was largest within historically redlined areas. Covariate associations differed for men, women, Black, and White adults, explaining the difference between the interaction and the stratified models. Race by redlining interaction did not vary by gender.

Conclusions

White adults may have benefitted from historical redlining, which may have reinforced neighborhood processes that generated racial inequality in BMI and waist circumference 50 years later.

Equity in Obesity Review

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

Integrating human activity into food environments can better predict cardiometabolic diseases in the United States

The prevalence of cardiometabolic diseases in the United States is presumably linked to an obesogenic retail food environment that promotes unhealthy dietary habits. Past studies, however, have reported inconsistent findings about the relationship between the two. One underexplored area is how humans interact with food environments and how to integrate human activity into scalable measures. In this paper, we develop the retail food activity index (RFAI) at the census tract level by utilizing Global Positioning System tracking data covering over 94 million aggregated visit records to approximately 359,000 food retailers across the United States over two years. Here we show that the RFAI has significant associations with the prevalence of multiple cardiometabolic diseases. Our study indicates that the RFAI is a promising index with the potential for guiding the development of policies and health interventions aimed at curtailing the burden of cardiometabolic diseases, especially in communities characterized by obesogenic dietary behaviors.

Neighborhood Socioeconomic Status, Green Space, and Walkability and Risk for Falls Among Postmenopausal Women: The Women's Health Initiative

PURPOSE

This study estimated associations between neighborhood socioeconomic status (NSES), walkability, green space, and incident falls among postmenopausal women and evaluated modifiers of these associations, including study arm, race and ethnicity, baseline household income, baseline walking, age at enrollment, baseline low physical functioning, baseline fall history, climate region, and urban-rural residence.

METHODS

The Women's Health Initiative recruited a national sample of postmenopausal women (50-79 years) across 40 U.S. clinical centers and conducted yearly assessments from 1993 to 2005 (n = 161,808). Women reporting a history of hip fracture or walking limitations were excluded, yielding a final sample of 157,583 participants. Falling was reported annually. NSES (income/wealth, education, occupation), walkability (population density, diversity of land cover, nearby high-traffic roadways), and green space (exposure to vegetation) were calculated annually and categorized into tertiles (low, intermediate, high). Generalized estimating equations assessed longitudinal relationships.

RESULTS

NSES was associated with falling before adjustment (high vs. low, odds ratio, 1.01; 95% confidence interval, 1.00-1.01). Walkability was significantly associated with falls after adjustment (high vs. low, odds ratio, 0.99; 95% confidence interval, 0.98-0.99). Green space was not associated with falling before or after adjustment. Study arm, race and ethnicity, household income, age, low physical functioning, fall history, and climate region modified the relationship between NSES and falling. Race and ethnicity, age, fall history, and climate region modified relationships between walkability and green space and falling.

CONCLUSIONS

Our results did not show strong associations of NSES, walkability, or green space with falling. Future research should incorporate granular environmental measures that may directly relate to physical activity and outdoor engagement.

Refining 2SVCA Method for Measuring Telehealth Accessibility of Primary Care Physicians in Baton Rouge, Louisiana

Equity in health care delivery is a longstanding concern of public health policy. Telehealth is considered an important way to level the playing field by broadening health services access and improving quality of care and health outcomes. This study refines the recently developed "2-Step Virtual Catchment Area (2SVCA) method" to assess the telehealth accessibility of primary care in the Baton Rouge Metropolitan Statistical Area, Louisiana. The result is compared to that of spatial accessibility via physical visits to care providers based on the popular 2-Step Floating Catchment Area (2SFCA) method. The study shows that both spatial and telehealth accessibilities decline from urban to low-density and then rural areas. Moreover, disproportionally higher percentages of African Americans are in areas with higher spatial accessibility scores; but such an advantage is not realized in telehealth accessibility. In the study area, absence of broadband availability is mainly a rural problem and leads to a lower average telehealth accessibility than physical accessibility in rural areas. On the other side, lack of broadband affordability is a challenge across the rural-urban continuum and is disproportionally associated with high concentrations of disadvantaged population groups such as households under the poverty level and Blacks.

Explaining obesity disparities by urbanicity, 2006 to 2016: A decomposition analysis

OBJECTIVE

A large, and potentially growing, disparity in obesity prevalence exists between large central metros and less urban United States counties. This study examines its key predictors.

METHODS

Using a rich county-year data set spanning 2006 to 2016, the authors conducted a Gelbach decomposition to examine the relative importance of demographic, socioeconomic, environmental, and behavioral factors in shaping the baseline obesity gap and the growth rate over time between large central metros and other counties.

RESULTS

Predictors included in this model explain almost the entire obesity gap between large central metros and other counties in the baseline year but can explain only ~32% of the growing gap. At baseline, demographic predictors explain more than half the obesity gap, and socioeconomic and behavioral predictors explain the other half. Behavioral and socioeconomic predictors explain more than half the growing gap over time whereas controlling for environmental and demographic predictors decreases the obesity gap by urbanicity over time.

CONCLUSIONS

Results suggest policy makers should prioritize interventions targeting health behaviors of residents in non-large central metros to slow the growth of the obesity gap between large central metros and other counties. However, to fundamentally eliminate the obesity gap, in addition to improving health behaviors, policies addressing socioeconomic inequalities are needed.

Selective Daily Mobility Bias in the Community Food Environment: Case Study of Greater Hartford, Connecticut

The community food environment has potential influences on community members' dietary health outcomes, such as obesity and Type II diabetes. However, most existing studies evaluating such health effects neglect human mobility. In food patrons' daily travels, certain locations may be preferred and patronized more frequently than others. This behavioral uncertainty, known as the selective daily mobility bias (SDMB), is less explored in community-food-environment research. In this paper, we aim to confirm the existence of the SDMB by systematically exploring the large-scale GPS-based restaurant-visit patterns in the Greater Harford region, Connecticut. Next, we explore the restaurant and neighborhood characteristics that are associated with the restaurant-visit patterns. Our primary results demonstrate that (1) most restaurant customers originate from areas outside of the census tract where the restaurant is located, and (2) restaurants located in socially vulnerable areas attract more customers in total, more customers from local areas, and more customers from other socially vulnerable areas. These results confirm the relevance of the SDMB to the community food environment, and suggest ways that the SDMB can be moderated by an uneven socio-economic landscape. The findings demonstrate the necessity of incorporating human-mobility data into the study of the community food environment.

Neighbourhood walkability and obesity among adults in rural Japan: results from a Japanese health database

BACKGROUND

Walkable neighbourhoods promote physical activity and prevent obesity, but there is limited evidence to inform urban planning strategies for public health within the context of rural Japan. This study describes associations between neighbourhood walkability and obesity in Toyama, a regional municipality in Japan.

METHODS

A cross-sectional analysis of the Toyama Prefecture National Health Insurance data (n = 3454) in 2016 using Analysis of Covariance (ANCOVA) and binary logistic regression. Walk Score® was used to estimate neighbourhood walkability.

RESULTS

Residents from highly walkable neighbourhoods generally had lower mean body mass index (BMI), but significant associations between neighbourhood walkability and BMI and prevalence of obesity were only observed in women (adjusted OR: 0.46, 95% CI: 0.26-0.80). Men below 65 years old had higher obesity prevalence (adjusted OR: 1.76, 95% CI: 1.34-2.30). Daily alcohol consumption was associated with lower odds of being obese among men (adjusted OR: 0.72, 95% CI: 0.55-0.95). Hypertension, diabetes mellitus and dyslipidaemia were associated with higher obesity prevalence among residents, regardless of gender.

CONCLUSIONS

Walkable environment may improve health outcomes for rural communities in Japan. Further studies are required to create equitable and inclusive living spaces for men and women to access healthier lifestyle choices.

Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis

Running can improve physical health and psychological wellbeing. However, the characteristics of conducive running environments are relatively unknown. This study determines neighborhood factors that attract running and explores how age and gender mediate built environment preferences. Spatial patterns of runners in Metro Vancouver were identified using crowdsourced fitness data from Strava, a popular application for tracking physical activities. The influence of socio-economic status (SES), green and/or blue space, and urbanicity on route popularity was assessed using a Generalized Linear Model (GLM). The influence of these neighborhood variables was also calculated for runners by age and gender. The results show high neighborhood SES, the presence of green and/or blue space, and high population density are associated with increased running activities in all age and gender groups. This study contributes a novel approach to understanding conducive running environments by demonstrating the utility of crowdsourced data in combination with data about urban environments. The patterns of this large group of runners can be used to inform planning for cities that promote running, as well as seek to encourage equal participation among different ages and genders.

Association between Proximity to Food Sources and Dietary Behaviors in Black and White College Graduates

OBJECTIVES

Unequal access to healthy food environments is often implicated in racial inequities in health and behaviors that are largest among college graduates. The aim of this study was to determine associations between perceived proximity to food sources and dietary behaviors between black and white college graduates.

METHODS

In a cross-sectional online survey of dietary behaviors between black and white adults who have a ≥ 4-year bachelor's degree, respondents were asked how long it typically takes for them to get to grocery stores and fast-food restaurants from home. We used ordinal logit regression models to assess associations between perceived proximity to food sources and dietary behaviors.

RESULTS

Among black men, perceiving that a grocery store was ≥ 10 minutes from their home was associated with lower fruit consumption (beta=-0.94, SE=0.48). Perceiving that a grocery store was ≥ 10 minutes from their home was associated with more frequent fast-food consumption among black men (beta=1.21, SE=0.39), Black women (beta=0.98, SE=0.34), and white men (beta=0.74, SE=0.30).

CONCLUSIONS

The associations between perceived proximity to food sources and dietary behaviors differ by race and sex among college graduates with important implications for racial disparities in diet quality and obesity across SES.

Lessons from sustainability of Play Streets in the United States

•

Sustaining Play Streets gives more children access to a health promoting program.

•

Play Streets organizers can face challenges in sustaining the program.

•

City governments can support Play Streets through funding and access to permits.

•

Engaging the community in organizing can limit resistance to programming.

•

Evaluation, with the help of local researchers, can illustrate impact to funders.

Communities around the world lack safe places for children to play and be physically active. One solution to this issue is Play Streets, which involves the temporary closure of streets for several hours to create a safe space for active play and physical activity. While the benefits of these programs are greater when they are recurring over many years, there is a dearth of literature regarding how to successfully sustain Play Streets. To understand how Play Streets can be sustained in the long term, we conducted semi-structured interviews with 24 Play Streets organizers representing 22 Play Streets programs across the United States. Four recurring sustainability challenges were highlighted from the thematic analysis: 1) securing and sustaining funding, 2) managing community and city resistance to street closures, 3) navigating government bureaucracy, and 4) retaining interest amongst organizers and volunteers. With each challenge, we describe how Play Streets organizers navigated those challenges, with a goal of generating recommendations for those wishing to sustain Play Streets programs in the long term.

An ecological study on the spatially varying association between adult obesity rates and altitude in the United States: using geographically weighted regression

In this research, we evaluated the relationship between obesity rates and altitude using a cross-county study design. We applied a geographically weighted regression (GWR) to examine the spatially varying association between adult obesity rates and altitude after adjusting for four predictor variables including physical activity. A significant negative relationship between altitude and adult obesity rates were found in the GWR model. Our GWR model fitted the data better than OLS regression (R² = 0.583), as indicated by an improved R² (average R² = 0.670; range: 0.26-0.77) and a lower Akaike Information Criteria (AIC) value (14,736.88 vs. 15,386.59 in the OLS model). These approaches, evidencing spatial varying associations, proved very useful to refine interpretations of the statistical output on adult obesity. This study underscored the geographic variation in relationships between adult obesity rates and mean county altitude in the United States. Our study confirmed a varying overall negative relationship between county-level adult obesity rates and mean county altitude after taking other confounding factors into account.

Analysis of Spatial Distribution of CVD and Multiple Environmental Factors in Urban Residents

Cardiovascular disease (CVD) poses a serious threat to urban health with the development of urbanization. There are multifaceted and comprehensive influencing factors for CVD, so clarifying the spatial distribution characteristics of CVD and multiple environmental influencing factors is conducive to improving the active health intervention of urban environment and promoting the sustainable development of cities The spatial distribution characteristics of CVD deaths in a certain district, Bengbu City, Huaihe River Basin, China, in 2019 were explored, and the correlation between multiple environmental factors and CVD mortality was investigated in this study, to reveal the action mechanism of multiple environmental factors affecting the risk of mortality. Relevant studies have shown that (1) CVD deaths are characterized as follows: male deaths are more than females; the mortality is higher in those of higher age; most of them are unemployed; cardiocerebral infarction is the main cause of death; and the deaths are mainly distributed in the central city and near the old urban area. (2) The increased CVD mortality can be attributed to the increased density of restaurants and cigarette and wine shops around the residential area, the increased traffic volume, the dense residential and spatial forms, the low green space coverage, and the distance from rivers. Therefore, appropriate urban planning and policies can improve the active health interventions in cities and reduce CVD mortality.

Spatial clustering patterns and regional variations for food and physical activity environments across the United States

This study examined spatial patterns of obesogenic environments for US counties. We mapped the geographic dispersion of food and physical activity (PA) environments, assessed spatial clustering, and identified food and PA environment differences across U.S. regions and rurality categories. Substantial low food score clusters were located in the South and high score clusters in the Midwest and West. Low PA score clusters were located in the South and high score clusters in the Northeast and Midwest (p < .0001). For region, the South had significantly lower food and PA environment scores. For rurality, rural counties had significantly higher food environment scores and metropolitan counties had significantly higher PA environment scores (p < .0001). This study highlights geographic clustering and disparities in food and PA access nationwide. State and region-wide environmental inequalities may be targeted using structural interventions and policy initiatives to improve food and PA access.

Nonlinear relationship between nonresidential destinations and body mass index across a wide range of development

BACKGROUND

Destination accessibility is an important measure of the built environment that is associated with active transport and body mass index (BMI). In higher density settings, an inverse association has been consistently found, but in lower density settings, findings are limited. We previously found a positive relationship between the density of nonresidential destinations (NRD) and BMI in a low-density state. We sought to test the generalizability of this unexpected finding using data from six other states that include a broader range of settlement densities.

METHODS

We obtained the address, height, and weight of 16.9 million residents with a driver's license or state identification cards, as well as the location of 3.8 million NRDs in Washington, Oregon, Texas, Illinois, Michigan, and Maine from Dun & Bradstreet. We tested the association between NRDs∙ha^-1 within 1 km of the home address, and self-reported BMI (kg∙m^-2). Visualization by locally-weighted smoothing curves (LOWESS) revealed an inverted U-shape. A multivariable piecewise regression with a random intercept for state was used to assess the relationship.

RESULTS

After accounting for age, sex, year of issue, and census tract social and economic variables, BMI correlated positively with NRDs in the low-to-mid density stratum (β = +0.005 kg∙m^-2/nonresidential building∙ha^-1; 95% CI: +0.004,+0.006) and negatively in the mid-to-high density stratum (β = -0.002; 95% CI: -0.004,-0.0003); a significant difference in slopes (P < 0.001).

CONCLUSIONS

BMI peaked in the middle density, with lower values in both the low and high-density extremes. These results suggest that the mechanisms by which NRDs are associated with obesity may differ by density level.

Associations between Fast-Food Restaurants Surrounding Kindergartens and Childhood Obesity: Evidence from China

The prevalence of obesity among preschool children has risen dramatically due to the influx of Western fast food in China. In this study, we aimed to provide clear evidence on the associations between fast-food restaurants and childhood obesity. We collected and combined three unique cross-sectional datasets: physical fitness data, geographic information, and the financial data of each kindergarten. The two-stage least squares were used for empirical analyses. The final data including 75,730 children were from 785 kindergartens in 82 cities and 23 provinces in China in 2018. The mean age of participants was 4.94 ± 0.87; 34,249 (45.2%) females and 41,481 (54.8%) males. The number of fast-food restaurants within 1, 2, and 3 km radii had a significant and positive correlation with obesity, and this correlation decreased as the radius increased. Furthermore, the distance to the nearest fast-food restaurant had a significant and negative correlation with obesity. Western fast-food restaurants contributed more to obesity than the broader definition of fast-food restaurants. There was marked heterogeneity between urban and rural areas. Our findings documented that fast-food restaurants had a significant and positive association with childhood obesity, thus the restriction of fast-food restaurants surrounding kindergartens might be considered.

Neighborhood-level COVID-19 hospitalizations and mortality relationships with built environment, active and sedentary travel

Most of the existing literature concerning the links between built environment and COVID-19 outcomes is based on aggregate spatial data averaged across entire cities or counties. We present neighborhood level results linking census tract-level built environment and active/sedentary travel measures with COVID-19 hospitalization and mortality rates in King County Washington. Substantial variations in COVID-19 outcomes and built environment features existed across neighborhoods. Using rigorous simulation-assisted discrete outcome random parameter models, the results shed new lights on the direct and indirect connections between built environment, travel behavior, positivity, hospitalization, and mortality rates. More mixed land use and greater pedestrian-oriented street connectivity is correlated with lower COVID-19 hospitalization/fatality rates. Greater participation in sedentary travel correlates with higher COVID-19 hospitalization and mortality whereas the reverse is true for greater participation in active travel. COVID-19 hospitalizations strongly mediate the relationships between built environment, active travel, and COVID-19 survival. Ignoring unobserved heterogeneity even when higher resolution smaller area spatial data are harnessed leads to inaccurate conclusions.

Invisible and unequal: Unincorporated community status as a structural determinant of health

Despite increasing awareness of the importance of political determinants of health, place-based research has not interrogated one of the most common political statuses: the impact of living in a community without municipal incorporation. In 2010 an estimated 37% of the U.S. population lived in an unincorporated area; despite their ubiquity, unincorporated communities are largely absent from the public health literature. Residents of unincorporated areas typically do not have their own local (e.g., city or municipal) government. This lack of representation leads to political exclusion and diminished access to resources, especially for low-income communities of color, Furthermore, by not disaggregating health data to unincorporated communities, residents are subsumed into county or census tract data that may not be reflective of their community's composition or context. Without jurisdictional distinction in research, there is no accountability for the manufacturing of health inequities in unincorporated communities . In the absence of empirical research on unincorporated communities, this paper uses the Commission on Social Determinants of Health (CSDH) Framework of the World Health Organization to argue that lack of municipal status is a structural determinant of health responsible for social conditions which generate cumulative health risks for residents. This includes using existing evidence on social conditions typical of unincorporated communities to describe patterns of residential segregation, neighborhood disadvantage, and environmental hazards that may increase residents' exposure to unhealthy environments in unincorporated communities. Finally, we provide an agenda for future public health research that can begin to address this health and racial equity gap for low-income unincorporated communities of color who have, until now, been absent in health equity discourse.

Spatial Behavior of Cancer Care Utilization in Distance Decay in the Northeast Region of the U.S

PURPOSE

Spatial behavior of patients in utilizing health care reflects their travel burden or mobility, accessibility for medical service, and subsequently outcomes from treatment. This paper derives the best-fitting distance decay function to capture the spatial behaviors of cancer patients in the Northeast region of the U.S., and examines and explains the spatial variability of such behaviors across sub-regions.

PRINCIPAL RESULTS

(1) 46.8%, 85.5%, and 99.6% of cancer care received was within a driving time of 30, 60 and 180 minutes, respectively. (2) The exponential distance decay function is the best in capturing the travel behavior of cancer patients in the region and across most sub-regions. (3) The friction coefficient in the distance decay function is negatively correlated with the mean travel time. (4) The best-fitting function forms are associated with network structures. (5) The variation of the friction coefficient across sub-regions is related to factors such as urbanicity, economic development level, and market competition intensity.

MAJOR CONCLUSIONS

The distance decay function offers an analytic metric to capture a full spectrum of travel behavior, and thus a more comprehensive measure than average travel time. Examining the geographic variation of travel behavior needs a reliable analysis unit such as organically defined "cancer service areas", which capture relevant health care market structure and thus are more meaningful than commonly-used geopolitical or census area units.

Associations of neighborhood physical and crime environments with obesity-related outcomes in Jamaica

OBJECTIVE

To examine whether proximity and density of public open spaces, public parks, street connectivity, and serious and violent crimes were associated with Body Mass Index (BMI) and Waist Circumference (WC) within and across levels of urbanicity, sex and socioeconomic status (SES) in Jamaica, a small island developing state (SIDS).

METHODS

Secondary analysis was conducted using data from the Jamaica Health and Lifestyle Survey 2008 (JHLS II). All respondents were geocoded to area of residence in Enumeration Districts (EDs). Intraclass correlation coefficients (ICCs) were derived and multilevel mixed effects regression models applied to 2529 participants nested within 101 EDs from all 14 parishes in Jamaica.

RESULTS

There was significant clustering across neighborhoods for mean BMI (ICC = 4.16%) and mean WC (ICC = 4.42%). In fully adjusted models statistically significant associations included: increased mean BMI among men, with increased intersection density/ km2 (β = 0.02; 95% CI = 1.96 x10-3, 0.04, p = 0.032); increased mean WC among urban residents with increased crimes/km2/yr (β = 0.09; 95% CI = 0.03, 0.16, p<0.01) and among persons in the middle class, with further distance away from public parks (β = 0.30; 95% CI = 0.08, 0.53, p<0.01).

CONCLUSIONS

Neighborhood physical and crime environments were associated with obesity-related outcomes in Jamaica. Policymakers in SIDS such as Jamaica should also note the important differences by urbanicity, sex and SES in prevention efforts designed to stem the growing obesity epidemic.

Is food environment associated with body mass index, overweight and obesity? A study with adults and elderly subjects from southern Brazil

•

Proximity to food establishments had few associations with body mass index.

•

Living near a street fair was associated with a higher body mass index.

•

Living near a convenience store was associated with a higher body mass index.

•

Living near a restaurant was associated with lower body mass index.

•

Living near a fruit shop was associated with lower body mass index.

The purpose of this article was to investigate the association of food environment variables with Body Mass Index (BMI), excess weight and obesity. This was a cross-sectional study determining the presence or absence of food establishments within a 100-m buffer zone from each sampled household. Individuals aged 18 years and older living in the urban area of Rio Grande, RS State, Brazil, in 2016, were considered eligible. A total of 1,139 individuals, with an average age of 46.5 years (SD 17.1), residing in the household for more than one year, were selected as a representative sample of the population. The mean BMI of study participants was 27.0 kg/m² (SD 4.8), and the prevalence of excess weight and obesity was 61.6% (95%CI: 58.9; 64.3) and 23.7% (95%CI: 21.3; 26.1), respectively. Living near a convenience store was associated with a higher BMI and a higher likelihood of being above normal weight and obese. In contrast, living near a restaurant was associated with a lower BMI and a lower likelihood of being above normal weight and obese. In addition, participants who lived close to fruit shops had lower BMI and a lower likelihood of being above normal weight. Concluding few associations were found between food environment and the health-related outcomes. Proximity to food establishments does not seem to significantly affect BMI, excess weight and obesity in the studied population.

Influence of the urban context on the relationship between neighbourhood deprivation and obesity

BACKGROUND

In middle- and high-income countries, obesity is positively associated with neighbourhood deprivation. However, the moderating effect of the broader urban residential context on this relationship remains poorly understood.

METHODS

In this study, we have examined the nonlinear and geographically varying relationship between neighbourhood deprivation and the likelihood of being a person with overweight among participants of the French NutriNet-Santé adult cohort study (n = 68,698), adjusted for age, gender and educational level. Ten urban residential contexts (e.g., suburbs, peri-urban or rural areas) were defined. We used a multilevel generalised additive modelling framework for analyses.

RESULTS

We found that the relationship between neighbourhood deprivation and overweight differed according to urban context, in terms of both linearity and intensity. Overall, the deprivation-overweight relationship was strongly positive (with a higher prevalence of overweight in deprived neighbourhoods) in suburban areas of Paris and of other large French cities, while weak or null in small towns and rural areas, and intermediate in inner cities. In addition, we observed in suburbs of Paris and in peri-urban belts of large cities that beyond a certain level of neighbourhood deprivation, the relationship with overweight plateaued.

DISCUSSION

In a French population from a high-income country, suburbs, as well as moderately deprived neighbourhoods of peri-urban areas of large cities, are potential targets for public health and urban planning policies aiming at preventing obesity. Our results emphasize the value of local analyses to better capture the complexity and contextual variations of socioeconomic determinants of non-communicable diseases such as obesity.

A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics

Background: Acne vulgaris is known as a commonly-seen skin disease with a considerable impact on the quality of life. At present, there have been a growing number of epidemiological, medical, demographic and sociological researches focusing on various influencing factors in the occurrence of acne. Nevertheless, the correlation between environmental factors and acne has yet to be fully investigated. Objective: To assess the impacts of individual, natural and social environmental factors on acne and to construct a framework for the potential impact of built environment on acne. Methods: A thorough review was conducted into the published social demographical, epidemiological, and environmental studies on acne through PubMed, Google Scholar and Web of Science, with reference made to the relevant literature. Results: The influencing factors in acne are classed into four major categories. The first one includes individual socio-economic and biological factors, for example, gender, age, economic level, heredity, obesity, skin type, menstrual cycle (for females), diet, smoking, cosmetics products, electronic products, sleep quality and psychological factors. The second one includes such natural environmental factors as temperature, humidity, sun exposure, air pollution and chloracne. The third one relates to social environment, including social network and social media. The last one includes built environmental factors, for example, population density, food stores, green spaces, as well as other built environment characteristics for transport. Acne can be affected negatively by family history, overweight, obesity, oily or mixed skin, irregular menstrual cycles, sugary food, greasy food, dairy products, smoking, the improper use of cosmetics, the long-term use of electronics, the poor quality of sleep, stress, high temperature, sun exposure, air pollution, mineral oils and halogenated hydrocarbons. Apart from that, there are also potential links between built environment and acne. Conclusions: It is necessary to determine the correlation between the built environment and acne based on the understanding of the impact of traditional factors (sociology of population and environment) on acne gained by multidisciplinary research teams. Moreover, more empirical studies are required to reveal the specific relationship between built environment and acne.

Association of Built Environment with Physical Activity and Physical Fitness in Men and Women Living inside the City Wall of Xi'an, China

This study was to investigate the association of built environment (BE) with physical activity (PA) and physical fitness of residents inside the city wall of Xi'an, one of the most historic cities in China. The cross-sectional study was conducted among 728 adults in this area. BE and PA were measured by Neighborhood Environment Walkability Scale and International Physical Activity Questionnaire, respectively. Body mass index (BMI), body fat percentage, blood pressure (BP), lung capacity, curl up, sit and reach, reaction time, balance, and grip strength were also measured. The results showed, for men, aesthetics was positively associated with total and leisure-time PA, and curl-up tests, respectively. Walking/cycling facilities were positively associated with leisure-time PA. Street connectivity was negatively associated with leisure-time PA and BMI. Residential density was positively correlated with BMI. Access to service was positively associated with lung capacity. Crime safety was negatively correlated with reaction time. For women, residential density was negatively associated with transportation PA and BP. Street connectivity was positively associated with curl-up test. The results suggest some BE attributes are positively related to PA and physical fitness in this population. Creating more PA-supportive BEs is recommended in this historic area along with urban conservation.

Neighbourhood greenspace influences on childhood obesity in Sheffield, UK

BACKGROUND

One cause of childhood obesity is a reduction in the amount of unstructured time spent outdoors, resulting in less physical activity. Greenspaces have the potential to increase children's physical activity levels, so it is desirable to understand how to create spaces that promote visitation and activity.

OBJECTIVES

We investigate the relationship between rates of obesity at ages 4 to 5 and 10 to 11 in small-area census geographies, and indicators of the neighbourhood greenspace environment, in the northern English city of Sheffield.

METHODS

To capture the environment at scales relevant to children, we test the importance of overall green cover; garden size; tree density around residential addresses; and accessibility within 300 m of any greenspace, greenspaces that meet quality criteria, and greenspaces with play facilities. We use a multimodel inference approach to improve robustness.

RESULTS

The density of trees around addresses is significant at both ages, indicating the importance of the greenspace environment in the immediate vicinity of houses. For 10 to 11 year olds, accessibility of greenspaces meeting quality criteria is also significant, highlighting that the wider environment becomes important with age and independence.

CONCLUSIONS

More attention should be given to children's requirements of greenspace when considering interventions to increase physical activity or planning new residential areas.

Contribution analysis to analyze the effects of the health impact assessment at the local level: A case of urban revitalization

The health impact assessment (HIA) is a tool used to estimate the potential impact on health of non-health-related proposals prior to implementation. While it is increasingly used in Quebec, Canada, studies have not analyzed its medium-term impacts and potential long-term impacts. We conducted a contribution analysis using in-depth interviews with key stakeholders, as well as documents, observation and images related to HIA in order to analyze its impacts on the revitalization of road infrastructure, parks and green spaces, and residential housing. Our analysis not only reflects on the decision-making process through the adoption and implementation of HIA recommendations, but also on the link between actions implemented in the field and health outcomes.

Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes

A walkable environment is a crucial factor for promoting active transportation. The purpose of this study is to examine the association between neighborhood walkability and active transportation for noncommuting purposes (leisure and shopping) in Seoul, Korea. The Walkability Score is used as a measure of walkability, and a multilevel logistic regression model is employed to measure the odds of active transportation (i.e., walking and cycling; nonmotorized trips) at two levels: individual (level 1) and neighborhood (level 2). The results of the study showed that the Walkability Score was significantly correlated with higher odds of active transportation in shopping models. Specifically, every one-point increase in the Walkability Score was associated with 1.5%–1.8% higher odds of active transportation in shopping models. However, there was no significant correlation between the two in leisure models. Meanwhile, individual characteristics associated with the odds of active transportation differed in the leisure and shopping models. Older age was positively correlated with the odds of active transportation in the leisure model, while females showed a positive correlation in the shopping model. Based on the study, urban and transportation planners can recommend urban policies to promote active transportation in an urban setting.

Impact of Changes in the Food, Built, and Socioeconomic Environment on BMI in US Counties, BRFSS 2003-2012

OBJECTIVE

Researchers have linked geographic disparities in obesity to community-level characteristics, yet many prior observational studies have ignored temporality and potential for bias.

METHODS

Repeated cross-sectional data were used from the Behavioral Risk Factor Surveillance System (BRFSS) (2003-2012) to examine the influence of county-level characteristics (active commuting, unemployment, percentage of limited-service restaurants and convenience stores) on BMI. Each exposure was calculated using mean values over the 5-year period prior to BMI measurement; values were standardized; and then variables were decomposed into (1) county means from 2003 to 2012 and (2) county-mean-centered values for each year. Cross-sectional (between-county) and longitudinal (within-county) associations were estimated using a random-effects within-between model, adjusting for individual characteristics, survey method, and year, with nested random intercepts for county-years within counties within states.

RESULTS

A negative between-county association for active commuting (β = -0.19; 95% CI: -0.23 to -0.16) and positive associations for unemployment (β = 0.17; 95% CI: 0.14 to 0.19) and limited-service restaurants (β = 0.13; 95% CI: 0.11 to 0.14) were observed. An SD increase in active commuting within counties was associated with a 0.51-kg/m² (95% CI: -0.72 to -0.31) decrease in BMI over time.

CONCLUSIONS

These results suggest that community-level characteristics play an important role in shaping geographic disparities in BMI between and within communities over time.

Why Public Health Needs GIS: A Methodological Overview

The short paper provides an overview on how geographic issues have become increasingly relevant to public health research and policy, particularly through the lens of geographic information systems (GIS). It covers six themes with an emphasis on methodological issues. (1) Our health-related behavior varies across geographic settings, so should public health policy. (2) Facilities (supply) and patients (demand) in a health care market interact with each other across geopolitical borders, and measures of health care accessibility need to capture that. (3) Our health outcome is the result of joint effects of individual attributes and neighborhood characteristics, and an adequate definition of neighborhood is critical for assessing neighborhood effect. (4) Disease rates in areas of small population are unreliable, and one effective way to mitigate the problem is to construct a larger, internally-homogenous and comparable area unit. (5) Defining a scientific geographic unit for health care market is critical for researchers, practitioners, and policy makers to evaluate health care delivery, and GIS enables us to define the unit (e.g., primary care service areas, hospital service areas, and cancer service areas) automatically, efficiently and optimally. (6) Aside from various optimization objectives around "efficiency", it is as important to plan the location and allocation of health care resources toward maximum equality in health care access. Case studies are cited to illustrate each theme.

Identifying Urban Immigrant Food-Cultivation Practices for Culturally-Tailored Garden-Based Nutrition Programs

Garden-based nutrition programs are used to address food access and nutrition in low-income communities. In urban immigrant communities, food-growing practices may be shaped by environmental and cultural factors, and may not reflect the assumptions behind these curricula. Built-environment research was adapted to develop a protocol for assessing a community's gardening practices. A random sample of census blocks was generated and mapped, observational protocols developed, iteratively tested and refined, then fieldworkers trained and deployed. Daily debriefings were conducted to identify challenges in field implementation. Nearly all (93%) sampled blocks contained evidence of food cultivation. Garden structures, land-use patterns, and plant choices reflected cultural preferences, differing substantively from USDA home gardening curricula. This tool successfully identified food-growing practices within an urban immigrant Asian and Pacific Islander community, and provides a replicable methodology for community assessment. Results support the need to culturally-tailor garden-based nutrition programs for urban immigrant populations.

Influence of Neighborhood Environment on Korean Adult Obesity Using a Bayesian Spatial Multilevel Model

Previous studies using spatial statistical modeling that account for spatial associations between geographic areas are scarce. Therefore, this study examines the association between neighborhood environment and obesity using a Bayesian spatial multilevel model. Data from 78,014 adults living in Gyeonggi province in Korea were drawn from the 2013–2014 Korean Community Health Survey. Korean government databases and ArcGIS software (version 10.1, ESRI, Redlands, CA) were used to measure the neighborhood environment for 546 administrative districts of Gyeonggi province. A Bayesian spatial multilevel model was implemented across gender and age groups. The findings indicate that women aged 19–39 years who lived in neighborhoods farthest away from parks were more likely to be obese. Men aged 40–59 years who lived in neighborhoods farther from public physical activity facilities and with lower population density were more likely to be obese. Obesity for women aged 19–39 years was the most spatially dependent, while obesity for women aged 40–59 years was the least spatially dependent. The results suggest that neighborhood environments that provide more opportunities for physical activity are negatively related to obesity. Therefore, the creation of physical activity in favorable neighborhood environments, considering gender and age, may be a valuable strategy to reduce obesity.

The Role of Built Environment on Health of Older Adults in Korea: Obesity and Gender Differences

This study examines the effect of the built environment on obesity in older adults, taking into consideration gender difference. In this regard, we ask two questions: (1) How does the built environment affect obesity in older adults? (2) Is there a gender difference in the effect of the built environment? To examine the research questions, this study uses the 2015 Korean National Health and Nutrition Survey and geographically weighted regression (GWR) analysis. The empirical analyses show that environmental factors have stronger effects on local obesity rates for older men than for older women, which indicates a gender difference in obesity. Based on these findings, we suggest that public health policies for obesity should consider the built environment as well as gender difference.

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

Obesity rates in the U.S. are associated with area-level, food-related characteristics. Studies have previously examined the role of structural racism (policies/practices that advantaged White Americans and deprived other racial/ethnic minority groups), but racial inequalities in socioeconomic status (SES) is a novel indicator. The aim of this study is to determine the associations between racial inequalities in SES with obesity and obesogenic environments. Data from 2007–2014 County Health Rankings and 2012–2016 County Business Patterns were combined to assess the associations between relative SES comparing Blacks to Whites with obesity, and number of grocery stores and fast food restaurants in U.S. counties. Random effects linear and Poisson regressions were used and stratified by county racial composition. Racial inequality in poverty, unemployment, and homeownership were associated with higher obesity rates. Racial inequality in median income, college graduates, and unemployment were associated with fewer grocery stores and more fast food restaurants. Associations varied by county racial composition. The results demonstrate that a novel indicator of structural racism on the county-level is associated with obesity and obesogenic environments. Associations vary by SES measure and county racial composition, suggesting the ability for targeted interventions to improve obesogenic environments and policies to eliminate racial inequalities in SES.

Neighborhood Social Environment and Cardiovascular Disease Risk

Purpose of review

Limited physical activity (PA) and obesity are two primary risk factors for cardiovascular disease (CVD). Within a socio-ecological framework, neighborhood social environment may play a key role in influencing PA and obesity. However, the mechanisms underlying this relationship remain ambiguous. Our goals in this review are: (1) to summarize findings from the recent studies on neighborhood social environment in relation to PA and obesity as CVD risk factors, and (2) to briefly describe several innovative approaches to assessing neighborhood social environment.

Recent findings

Almost all recent studies assessed neighborhood social environment around residential areas. There were consistent associations between neighborhood social environment and PA and obesity, with some exceptions (indicating null associations or paradoxical associations). However, a focus on residential social environment may limit results because these studies did not account for any exposures occurring away from individuals' homes. Additionally, the majority of studies utilized a cross-sectional design, which limits our ability to make inferences regarding the causality of the association between social environment and PA or obesity as CV risk factors.

Summary

The majority of the studies on neighborhood social environment characterized factors around residential areas and assessed participant activity via self-reported surveys. Future research should leverage tools to account for the spatial mismatch between environmental exposures and outcomes by using global positioning systems, ecological momentary assessments, virtual neighborhood audits, and simulation modeling. These approaches can overcome major limitations by tracking individuals' daily activity and real-time perceptions of neighborhood social environments linked to CVD events.

Are some neighborhoods bad for your waistline? A test of neighborhood exposure effects on BMI

I study the causal impact of neighborhoods on body mass index (BMI). Through exploiting variation in the number of years individuals have lived in their neighborhood, using a data set from California, I examine if there exist causal effects of exposure to neighborhoods with high potential effects on one's BMI. The identifying assumption is that there are no unobserved individual level characteristics correlated with both BMI and moving, after controlling for observables. I find evidence that suggests that neighborhoods do not have a causal impact on BMI.

Moderating Effects of Components of Resilience on Obesity Across Income Strata in the National Survey of Children's Health

OBJECTIVE

This study examined whether components of resilience at the family or child level are associated with a decreased risk of obesity in children after accounting for community-, family-, and individual-level stressors associated with an increased risk of obesity.

METHODS

Data are from the 2016 National Survey of Children's Health, using the subset of children 10 to 17 years of age with weight data. We examined whether or not components of family- or child-level resilience were associated with weight status. Community-, family-, and individual-level risk factors for obesity were examined within each income stratum. We used multinomial logistic regression to evaluate if components of resilience are associated with lower overweight or obesity.

RESULTS

The sample included 24,405 10- to 17-year-old children. Child-level but not family-level resilience components were associated with a decreased risk of child obesity across income strata. Food security and adverse childhood experiences (ACEs) were only associated with obesity within higher income strata; bullying was consistently associated across strata. Physical activity was strongly associated with increased emotional resilience. The association between higher emotional resilience and lower obesity remained after adjusting for community-level factors (parks), family-level factors (ACEs), and individual-level factors (bullying). Better maternal health was associated with increased emotional resilience and lower risk of obesity.

CONCLUSIONS

Resilience, specifically emotional resilience, may be a protective factor against obesity in children regardless of income stratum. Physical activity of the child is associated with greater emotional resilience, and better maternal health may mediate the association between this component of resilience and weight.

The association between physical inactivity and obesity is modified by five domains of environmental quality in U.S. adults: A cross-sectional study

Physical inactivity is a primary contributor to the obesity epidemic, but may be promoted or hindered by environmental factors. To examine how cumulative environmental quality may modify the inactivity-obesity relationship, we conducted a cross-sectional study by linking county-level Behavioral Risk Factor Surveillance System data with the Environmental Quality Index (EQI), a composite measure of five environmental domains (air, water, land, built, sociodemographic) across all U.S. counties. We estimated the county-level association (N = 3,137 counties) between 2009 age-adjusted leisure-time physical inactivity (LTPIA) and 2010 age-adjusted obesity from BRFSS across EQI tertiles using multi-level linear regression, with a random intercept for state, adjusted for percent minority and rural-urban status. We modelled overall and sex-specific estimates, reporting prevalence differences (PD) and 95% confidence intervals (CI). In the overall population, the PD increased from best (PD = 0.341 (95% CI: 0.287, 0.396)) to worst (PD = 0.645 (95% CI: 0.599, 0.690)) EQI tertile. We observed similar trends in males from best (PD = 0.244 (95% CI: 0.194, 0.294)) to worst (PD = 0.601 (95% CI: 0.556, 0.647)) quality environments, and in females from best (PD = 0.446 (95% CI: 0.385, 0.507)) to worst (PD = 0.655 (95% CI: 0.607, 0.703)). We found that poor environmental quality exacerbates the LTPIA-obesity relationship. Efforts to improve obesity through LTPIA may benefit from considering this relationship.

Residential moves, neighbourhood walkability, and physical activity: a longitudinal pilot study in Ontario Canada

Background

Numerous cross-sectional studies have consistently demonstrated an association between attributes of urban form or ‘walkability’ and individual- and population-level physical activity (PA) patterns. However, in the absence of longitudinal research, the self-selection problem undermines the claim that a walkable built form produces more physically active people. Through a longitudinal pilot study of ‘imminent movers’ in Ontario using a quasi-experimental approach, we sought to examine the feasibility of longitudinal methods that would produce stronger evidence for a causal relationship between the built environment and PA levels.

Methods

Participants were recruited using publicly available real estate listings. Successful recruits were sent a PA diary to track their activity for a week, and were also scheduled for a 45-min phone interview that collected demographic details, neighbourhood perceptions and self-efficacy for walking, and verified the PA diary. Following their move, participants were given the same tasks and then sorted into groups based on changes in their neighbourhood walkability (measured with Walk Score) from baseline to follow-up.

Results

There were challenges in recruiting a sufficient number of participants and counter-factuals to examine the relationship between changes in walkability and PA. Our limited sample showed a substantial decrease in Walk Score over the entire sample, from an average of 45.8 to 30.6, with most participants moving to less walkable areas. From baseline to follow-up, the largest declines in reported self-efficacy for walking were to grocery stores, banks, and for entertainment. For the entire sample, utilitarian PA decreased, while recreational and job-related PA increased.

Conclusions

This pilot study highlighted the methodological challenges involved in collecting quasi-experimental evidence on the effect of walkable environments on PA. Additionally, the low sample size and the tendency for most participants to move to less walkable areas meant there were insufficient counter-factuals for study of the effect of walkability on PA. Despite these challenges, we saw important changes in self-efficacy for walking that were commensurate with changes to the built environment. In sum, while longitudinal research on health and the built environment is urgently needed, recruiting an adequate sample size for a quasi-experimental study such as this is extremely challenging.

Local Food Environments, Suburban Development, and BMI: A Mixed Methods Study

More than half the world’s population now live in urban settlements. Worldwide, cities are expanding at their fringe to accommodate population growth. Low-density residential development, urban sprawl, and car dependency are common, contributing to physical inactivity and obesity. However, urban design and planning can modify urban form and enhance health by improving access to healthy food, public transport, and services. This study used a sequential mixed methods approach to investigate associations between food outlet access and body mass index (BMI) across urban-growth and established areas of Melbourne, Australia, and identify factors that influence local food environments. Population survey data for 3141 adults were analyzed to examine associations, and 27 interviews with government, non-government, and private sector stakeholders were conducted to contextualize results. Fast food density was positively associated with BMI in established areas and negatively associated in urban-growth areas. Interrelated challenges of car dependency, poor public transport, and low-density development hampered healthy food access. This study showed how patterns of suburban development influence local food environments and health outcomes in an urbanized city context and provides insights for other rapidly growing cities. More nuanced understandings of the differential effect of food environments within cities have potential to guide intra-city planning for improving health and reducing inequities.

[Integration of sex/gender into environmental health research. Results of the interdisciplinary research network Sex/Gender-Environment-Health (GeUmGe-NET)]

The comprehensive consideration of sex/gender in health research is essential to increase relevance and validity of research results. Contrary to other areas of health research, there is no systematic summary of the current state of research on the significance of sex/gender in environmental health. Within the interdisciplinary research network Sex/Gender-Environment-Health (GeUmGe-NET) the current state of integration of sex/gender aspects or, respectively, gender theoretical concepts into research was systematically assessed within selected topics of the research areas environmental toxicology, environmental medicine, environmental epidemiology and public health research on environment and health. Knowledge gaps and research needs were identified in all research areas. Furthermore, the potential for methodological advancements by using gender theoretical concepts was depicted. A dialogue between biomedical research, public health research, and gender studies was started with the research network GeUmGe-NET. This dialogue has to be continued particularly regarding a common testing of methodological innovations in data collection and data analysis. Insights of this interdisciplinary research are relevant for practice areas such as environmental health protection, health promotion, environmental justice, and environmental health monitoring.

Mapping rural-urban disparities in late-stage cancer with high-resolution rurality index and GWR

Effects of urban/rural residence on late-stage cancer have long been explored, but remained controversial. Spatial granularity of rural definition, temporal change of rurality, and local variability of such effects may contribute to inconsistent findings, but they have not been fully addressed. We proposed a spatially resolved and temporally comparable rurality index and a geographically weighted regression approach to re-examine this question. Taking Florida as an example, our analyses show that rural effects on late-stage cancer vary dramatically over locations (600-m cells). The odds ratios range from 0.9 to 1.10, and imply that one degree of rurality can increase/decrease local risk of late-stage cancer by up to 10%. Our study is an early attempt to explore local effects of rurality on cancer at a fine spatial scale, and reveals interesting patterns hidden by global multi-level analysis. The new framework and findings can better inform precision interventions to mitigate cancer disparities.

Influence of Highly Accessible Urban Food Environment on Weight Management: A Qualitative Study in Seoul

We explored the characteristics of the food environment and its influence on weight management in Seoul, Korea. Photo elicitation interviews were conducted with 73 participants who took three photographs per topic related to their food environment and discussed these photographs in groups. Through thematic analysis, we identified four themes concerning participants’ perceptions of the food environment and weight management: (1) “convenience comes first,” (2) “tempting food environment,” (3) “alcohol and anju,” and (4) “burden of individual effort to manage weight.” A systematic change toward an environment supportive of healthy eating and weight management is recommended.

Geographical variation in the prevalence of obesity, metabolic syndrome, and diabetes among US adults

Cardiovascular disease (CVD) and type 2 diabetes remain significant public health concerns. Targeting of prevention efforts by geographical location has been suggested by the Institute of Medicine to coincide with the presence of area-based risk. The metabolic syndrome (MetS) is a stronger risk factor than is obesity for the prediction of future CVD and diabetes, yet its prevalence has not previously been described geographically. Our objective is to determine geographical variation in the prevalence of obesity, MetS, and diabetes among US adults. We assessed the prevalence of obesity, MetS, and diabetes by US census division, and the prevalence of obesity, MetS, and diabetes for each sex and racial/ethnic group by US region among 9826 US non-Hispanic white, non-Hispanic black, and Hispanic adults aged 20–65 years participating in the National Health and Nutrition Examination Survey 1999–2014. We also compared a sex- and race/ethnicity-specific MetS severity score by geographical area. The prevalence of obesity, MetS, and diabetes varied by US census division and region, with overall similarity by geographical area in the prevalence of each of these conditions. The prevalence of MetS was particularly high (≥35%) in the West North Central, West South Central, and East South Central and low (30%) in the Pacific, New England, and Mid-Atlantic divisions. Some of the geographical variation appeared due to differences among non-Hispanic white females, who had a high prevalence of MetS (>32%) in the Midwest and South and a low prevalence of MetS (24%) in the West and Northeast. Geographical differences in MetS imply variation in the risk for future CVD and diabetes, with more elevated risk in the center of the United States. As MetS is a stronger risk factor for prediction of CVD and T2DM than is obesity, these differences are potentially important for prompting public health efforts toward surveillance and prevention in high-risk areas.

The Uncertain Geographic Context Problem in the Analysis of the Relationships between Obesity and the Built Environment in Guangzhou

Traditionally, static units of analysis such as administrative units are used when studying obesity. However, using these fixed contextual units ignores environmental influences experienced by individuals in areas beyond their residential neighborhood and may render the results unreliable. This problem has been articulated as the uncertain geographic context problem (UGCoP). This study investigates the UGCoP through exploring the relationships between the built environment and obesity based on individuals’ activity space. First, a survey was conducted to collect individuals’ daily activity and weight information in Guangzhou in January 2016. Then, the data were used to calculate and compare the values of several built environment variables based on seven activity space delineations, including home buffers, workplace buffers (WPB), fitness place buffers (FPB), the standard deviational ellipse at two standard deviations (SDE2), the weighted standard deviational ellipse at two standard deviations (WSDE2), the minimum convex polygon (MCP), and road network buffers (RNB). Lastly, we conducted comparative analysis and regression analysis based on different activity space measures. The results indicate that significant differences exist between variables obtained with different activity space delineations. Further, regression analyses show that the activity space delineations used in the analysis have a significant influence on the results concerning the relationships between the built environment and obesity. The study sheds light on the UGCoP in analyzing the relationships between obesity and the built environment.

Disparities in Geographic Accessibility of National Cancer Institute Cancer Centers in the United States

The National Cancer Institute (NCI) Cancer Centers form the backbone of the cancer care system in the United States since their inception in the early 1970s. Most studies on their geographic accessibility used primitive measures, and did not examine the disparities across urbanicity or demographic groups. This research uses an advanced accessibility method, termed "2-step floating catchment area (2SFCA)" and implemented in Geographic Information Systems (GIS), to capture the degree of geographic access to NCI Cancer Centers by accounting for competition intensity for the services and travel time between residents and the facilities. The results indicate that urban advantage is pronounced as the average accessibility is highest in large central metro areas, declines to large fringe metro, medium metro, small metro, micropolitan and noncore rural areas. Population under the poverty line are disproportionally concentrated in lower accessibility areas. However, on average Non-Hispanic White have the lowest geographic accessibility, followed by Hispanic, Non-Hispanic Black and Asian, and the differences are statistically significant. The "reversed racial disadvantage" in NCI Cancer Center accessibility seems counterintuitive but is consistent with an influential prior study; and it is in contrast to the common observation of co-location of concentration of minority groups and people under the poverty line.

The Local Food Environment and Fruit and Vegetable Intake: A Geographically Weighted Regression Approach in the ORiEL Study

Studies that explore associations between the local food environment and diet routinely use global regression models, which assume that relationships are invariant across space, yet such stationarity assumptions have been little tested. We used global and geographically weighted regression models to explore associations between the residential food environment and fruit and vegetable intake. Analyses were performed in 4 boroughs of London, United Kingdom, using data collected between April 2012 and July 2012 from 969 adults in the Olympic Regeneration in East London Study. Exposures were assessed both as absolute densities of healthy and unhealthy outlets, taken separately, and as a relative measure (proportion of total outlets classified as healthy). Overall, local models performed better than global models (lower Akaike information criterion). Locally estimated coefficients varied across space, regardless of the type of exposure measure, although changes of sign were observed only when absolute measures were used. Despite findings from global models showing significant associations between the relative measure and fruit and vegetable intake (β = 0.022; P < 0.01) only, geographically weighted regression models using absolute measures outperformed models using relative measures. This study suggests that greater attention should be given to nonstationary relationships between the food environment and diet. It further challenges the idea that a single measure of exposure, whether relative or absolute, can reflect the many ways the food environment may shape health behaviors.

Low-Income Housing Rental Assistance, Perceptions of Neighborhood Food Environment, and Dietary Patterns among Latino Adults: the AHOME Study

INTRODUCTION

Federal rental assistance programs, in the form of the traditional public housing program and the Housing Choice Voucher Program (HCVP-formerly known as Section 8), are designed to reduce the economic rental burden for low-income residents. While residents using federal housing vouchers, which allow low-income residents in public housing to move out of public housing to rent-subsidized homes, have been found to be have better cardiovascular outcomes compared to the cardiovascular outcomes of low-income public housing residents, the mechanisms explaining these associations remains an understudied area.

PURPOSE

The aim of this study is to assess whether residents participating in HCVP or unassisted residents had greater access to healthy foods such as fruits and vegetables, and less access to unhealthy foods such as fast food and sugar sweetened beverages, when compared to residents living in public housing (referent group).

METHODS

The Affordable Housing as an Obesity Mediating Environment (AHOME) study is a cross-sectional study of Latinos residing in low-income housing in the Bronx, NY (n = 362). Participants were interviewed to assess food patterns and perceptions of neighborhood environment.

RESULTS

The analytic sample was primarily female (74.5 %) with a mean age of 46.4 years (SD = 14.68). Residents participating in HCVP had similar availability of fruits and vegetables in the home compared to residents receiving no assistance or public housing residents. HCVP participants consumed more fast food (β = 0.34; CI = 0.10-0.58) but had similar sugar sweetened beverage consumption compared to public housing residents. Unassisted residents had more fast food consumption (β = 0.25; CI = 0.01-0.49) but less sugar sweetened beverage consumption (β = -0.52; CI = -0.76--0.28) than public housing residents. Perceptions of neighborhood food environment were not significantly associated with dietary patterns.

CONCLUSION

This study shows variability in consumption of sugar sweetened beverage consumption and fast food consumption, but not in availability of fruits and vegetables, across residents participating in HCVP, public housing residents, and unassisted residents. Evaluating the health benefits associated with low-income housing mobility programs, such as HCVP, requires examining how housing may influence dietary patterns above and beyond an individual's socioeconomic position.