Fast Food Restaurant Density Research Articles

Association between density of food retailers and fitness centers and gestational diabetes mellitus in Eastern Massachusetts, USA: population-based study

Few studies have investigated the relationship between the food and physical activity environment and odds of gestational diabetes mellitus (GDM). This study quantifies the association between densities of several types of food establishments and fitness centers with the odds of having GDM. The density of supermarkets, fast-food restaurants, full-service restaurants, convenience stores and fitness centers at 500, 1000 and 1500m (m) buffers was counted at residential addresses of 68,779 pregnant individuals from Eastern Massachusetts during 2000-2016. The 'healthy food index' assessed the relative availability of healthy (supermarkets) vs unhealthy (fast-food restaurants, convenience stores) food retailers. Multivariable logistic regression quantified the cross-sectional association between exposure variables and the odds of having GDM, adjusting for individual and area-level characteristics. Effect modification by area-level socioeconomic status (SES) was assessed. In fully adjusted models, pregnant individuals living in the highest density tertile of fast-food restaurants had higher GDM odds compared to those living in the lowest density tertile (500m: odds ratio (OR):1.17 95% CI: [1.04, 1.31]; 1000m: 1.33 95% CI: [1.15, 1.53]); 1500m: 1.18 95% CI: [1.01, 1.38]). Greater residential density of supermarkets was associated with lower odds of GDM (1000m: 0.86 95% CI: [0.74, 0.99]; 1500m: 0.86 95% CI: [0.72, 1.01]). Similarly, living in the highest fitness center density tertile was associated with decreased GDM odds (500m:0.87 95% CI: [0.76, 0.99]; 1500m: 0.89 95% CI: [0.79, 1.01]). There was no evidence of effect modification by SES and no association found between the healthy food index and GDM odds. In Eastern Massachusetts, living near a greater density of fast-food establishments was associated with higher GDM odds. Greater residential access to supermarkets and fitness centers was associated with lower the odds of having GDM. NIH.

Food deserts exposure, density of fast-food restaurants, and park access: Exploring the association of food and recreation environments with obesity and diabetes using global and local regression models.

To prevent obesity and diabetes environmental interventions such as eliminating food deserts, restricting proliferation of food swamps, and improving park access are essential. In the United States, however, studies that examine the food and park access relationship with obesity and diabetes using both global and local regression are lacking. To guide county, state, and federal policy in combating obesity and diabetes, there is a need for cross-scale analyses to identify that relationship at national and local levels. This study applied spatial regression and geographically weighted regression to the 3,108 counties in the contiguous United States. Global regression show food deserts exposure and density of fast-food restaurants have non-significant association with obesity and diabetes while park access has a significant inverse association with both diseases. Geographically weighted regression that takes into account spatial heterogeneity shows that, among southern states that show high prevalence of obesity and diabetes, Alabama and Mississippi stand out as having opportunity to improve park access. Results suggest food deserts exposure are positively associated with obesity and diabetes in counties close to Alabama, Georgia, and Tennessee while density of fast-food restaurants show positive association with two diseases in counties of western New York and northwestern Pennsylvania. These findings will help policymakers and public health agencies in determining which geographic areas need to be prioritized when implementing public interventions such as promoting healthy food access, limiting unhealthy food options, and increasing park access.

Abstract IA038: Neighborhood factors for adiposity change and cardiovascular health among Black breast cancer survivors

Abstract Maintaining a healthy weight and cardiovascular health (CVH) after a breast cancer (BC) diagnosis is gaining clinical attention because they are essential for reducing the burden of cardiovascular disease, achieving optimal cancer survivorship, and possibly reducing mortality after a BC diagnosis. Individual behaviors and choices are largely influenced by the surrounding social and built environment; however, the neighborhood risk factors influencing post-diagnosis weight change and CVH are unclear among Black women, who have higher rates of obesity, unfavorable CVH and mortality than any other racial/ethnic group. To address this knowledge gap, we conducted analyses based on the Women's Circle of Health Follow-Up Study (WCHFS), a population-based prospective cohort of Black BC survivors in New Jersey. In the first analysis, adiposity changes during the period ~10 months to 2 years after diagnosis were evaluated among 785 women enrolled in the WCHFS. We found that despite a high baseline prevalence of overweight or obesity, weight gain was common. Greater density of fast-food restaurants and lower walkability were identified as neighborhood-level risk factors for weight gain. We also showed that intentional weight loss was much less common than weight gain, and its neighborhood risk factors were considerably different from unintentional weight loss. In a subsequent analysis, we aimed to capture the complex interplay between neighborhood features through neighborhood archetype analysis based on 16 social and built environment features, and to estimate their associations with CVH around 2 years after diagnosis among Black women. The CVH index used American Heart Association definition and scoring criteria for BMI, diet, smoking, physical activity, blood pressure, cholesterol, glucose, and sleep. We found that Black BC survivors, on average, reached only half of the recommended optimal CVH score, and no participant met all ideal CVH metrics. Among the four neighborhood archetypes identified, we found that the archetype associated with the most favorable post-diagnostic CVH was characterized by diverse racial and ethnic populations, a higher neighborhood socioeconomic status, greater densities of restaurants, food stores, physical activity facilities, walkable destinations, and ambulatory care. However, only 16% of our participants lived in this type of neighborhood. In summary, our work revealed that residential environments may considerably impact adiposity change and CVH among Black BC survivors. Through these studies, we provided insights into the distinct neighborhood characteristics and archetypes that may influence BC survivorship for Black women. Recognizing that social determinants of health act at multiple levels, domains, and factors, it is crucial that future research comprehensively investigates neighborhood and other multilevel determinants to identify the specific social barriers that must be addressed to achieve the most measurable improvements in BC survivorship for Black women. Citation Format: Bo Qin, Carola T. Sánchez-Díaz, Hari S. Iyer, Noreen Goldman, Nur Zeinomar, Andrew G. Rundle, Christine B. Ambrosone, Kitaw Demissie, Chi-Chen Hong, Gina S. Lovasi, Elisa V. Bandera. Neighborhood factors for adiposity change and cardiovascular health among Black breast cancer survivors [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr IA038.

The local restaurant environment in relation to eating out and sugary drink intake among Canadian children and youth.

Accessibility of food retail in communities may play a role in shaping the food choices of local residents. However, previous studies have shown mixed results. This study examined associations between the local restaurant environment and the frequency of eating food from restaurants and intake of sugary drinks among Canadian children and youth. The study cohort consisted of 23,776 participants (aged 1 to 17 years) in the 2019 Canadian Health Survey on Children and Youth who resided in large urban population centres across the Canadian provinces. Measures of geographic access to various restaurant types within walking distance of participants' residential areas came from the 2018 Canadian Food Environment Dataset. Poisson regression models with robust standard errors assessed associations between measures of absolute densities (number per km²) of full-service, fast-food and other restaurants, and the relative density of fast-food restaurants (as a percentage of total restaurants) with the frequency of eating food from fast-food or full-service restaurants and sugary drink intake in the previous seven days. After adjustment for a range of sociodemographic covariates, there were no consistent associations between absolute and relative measures of restaurant access and the frequency of eating food from restaurants or intake of sugary drinks. Results reveal no consistent relationships between local restaurant exposures and the frequency of eating food from restaurants or sugary drink intake among Canadian children and youth. Efforts to create environments that foster healthy food choices among young people will remain important but will likely need to target multiple activity spaces beyond the local neighbourhood.

County-level food insecurity to predict cancer incidence and mortality in the United States, 2015-2020.

10539 Background: Modifiable dietary patterns incorporating inexpensive, calorie-dense, processed foods and meals low in fiber and other nutrients are associated with development of cancer. Inadequate access to quality nutrition is a crucial but underappreciated social determinant of health and predictor of poor cancer outcomes. We investigated the impact of county-level food insecurity on age-adjusted incidence and mortality rates (AAIR, AAMR) for all cancers. Methods: We linked county-level cancer incidence and mortality rates for 2015-2020 from NCI State Cancer Profiles to food insecurity measures from Feeding America and County Business Patterns. Measures included percentage of individuals experiencing food insecurity (as defined by USDA), percentage on Supplemental Nutrition Assistance Program (SNAP) benefits, average cost per meal, and density of fast-food restaurants. AAIR and AAMRs of all cancers per 100,000 individuals were compared between 1st and 4th quartiles for each measure using robust linear regression models with log transformation and population weights. Results: There was an annual average of 1,728,431 cancer diagnoses with AAIR 449 and 599,666 deaths with AAMR 149. Highest AAIRs were observed in >50y (1351), men (488), non-Hispanic Whites (467), and urban counties (459). This differed from highest AAMR groups including >50y (502), men (178), non-Hispanic Blacks (175), and rural counties (168) suggesting factors of increased disease severity or decreased access to care in the latter. Both AAIRs and AAMRs increased significantly when moving from least to most insecure counties, as defined by overall food insecurity, higher proportion of population on SNAP, higher fast-food density, and lower meal cost. AAMRs and AAIRs for lung cancer and CRC, and for rural residents were most exacerbated by changes in all measures of food insecurity, even when adjusting for screening rates for CRC in low access areas. Conclusions: Our study highlights the most food insecure counties have higher cancer incidence and even greater mortality burden. We recognize food insecurity as a proxy for socioeconomic disadvantage prior to and during cancer treatment. These results encourage prioritization of policies that optimize food assistance programs and clinical practices that incorporate food insecurity-related screenings in care delivery models. [Table: see text]

The role of built environment, personal, religious, cultural, and socioeconomic factors in increasing overweight and obesity rate in women vs men: a case study of Karachi, Pakistan

ABSTRACT Among many Asian countries, Pakistan is also facing an increase in overweight/obesity rate as an epidemic. This research explores how various built environment, personal, religious, cultural, and socioeconomic factors work differently for both sexes to contribute to increasing the Body Mass Index of female adults in all three Socioeconomic Statuses of the megacity Karachi, Pakistan. 210 random samples of 20 years or older male and female adults were selected, and the sample data, from survey questionnaires, was analyzed through Ordinary Least Square Regression in SPSS V.25. The results confirm that low-density neighborhoods, higher fast-food restaurant density, accessibility (walking distance in no. of min) to parks/playgrounds, household size, obesity running in the family, health condition of an individual, and discouraging behavior by others are positively associated with higher BMI. Whereas less junk food consumption in a week and availability of pleasant surroundings where people prefer walking are negatively associated with higher BMI. Although religious factors were not found connected to higher BMI, cultural, built environment, and religious factors combined were responsible for the choice of Physical Activity in both sexes. Walking was the most common whereas cycling was the least common PA in females in all SES.

Changes in retail food environments around schools over 12 years and associations with overweight and obesity among children and adolescents in Flanders, Belgium

BackgroundChildren are susceptible to the food environment. This research assessed changes in retail food environments near schools in Flanders between 2008 and 2020 and associations with children’s and adolescents’ weight status.MethodsThe food environment within a 500 m and 1000 m road network distance to all primary and secondary schools was mapped using spatial indicators. The commercial Locatus database, including addresses of all food retailers in Flanders, was used to calculate the density of different types of food retailers near the school perimeter, the percentage of schools with at least one food retailer of a certain type near the school perimeter and the shortest distance from the school entrance to the nearest food retailer of a certain type. A generalized linear model was used to explore associations between these indicators and the percentage of children and adolescents with overweight at the school level.ResultsFood environments near schools in Flanders were found to be unhealthy in 2020, with a significant increase in fast food restaurants and convenience stores between 2008 and 2020. The density of fast food restaurants within a 1000 m walking distance from primary and secondary schools increased from 5.3 ±0.3 to 6.3 ±0.4 and from 10.2 ±0.7 to 12.7 ±0.9 respectively between 2008 and 2020, while the density of convenience stores increased from 3.2 ±0.3 to 3.8 ±0.4 and from 6.2 ±0.6 to 7.6 ±0.8 respectively.Food environments near schools with a higher proportion of children from a poor socio-economic background were found unhealthier, regardless of the urbanization level. A significant positive association was found between the density of fast food restaurants as well as the density of convenience stores around primary schools and the percentage of children aged < 6 years and 6–12 years with overweight. A positive, not significant association was found between the density of fast food restaurants as well as the density of convenience stores around secondary schools and the percentage of adolescents, aged 13–14 and 15–18 years with overweight.ConclusionFood environments around schools in Flanders became unhealthier over time and were associated with children’s weight status.

Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix.

Type 2 Diabetes (T2D) has reached epidemic levels among the pediatric population. Furthermore, disparities in T2D among youth are distributed in a manner that reflects the social inequality between population sub-groups. Here, we investigated the neighborhood determinants of T2D risk among a sample of Latino adolescents with obesity residing in Phoenix, Arizona (n = 133). In doing so we linked together four separate contextual data sources: the American Community Survey, the United States Department of Agriculture Food Access Research Atlas, the Arizona Healthy Community Map, and the National Neighborhood Data Archive to systematically analyze how and which neighborhood characteristics were associated with T2D risk factors as measured by fasting and 2-h glucose following a 75 g oral glucose tolerance test. Using linear regression models with and without individual/household covariates, we investigated how twenty-two housing and transportation sociodemographic and built and food environment characteristics were independently and jointly associated with T2D risk. The main finding from these analyses was the strong association between the density of fast food restaurants and 2-h glucose values (b = 2.42, p < 0.01). This association was independent of individual, household, and other neighborhood characteristics. Our results contribute to an increasingly robust literature demonstrating the deleterious influence of the neighborhood food environment, especially fast food, for T2D risk among Latino youth.

Multilevel Factors for Adiposity Change in a Population-Based Prospective Study of Black Breast Cancer Survivors.

PURPOSEUnfavorable weight change after breast cancer diagnosis increases the risk of mortality, but individual and neighborhood risk factors affecting postdiagnosis weight and body fat changes are unclear among Black women, who have higher rates of obesity and mortality than any other racial/ethnic group.METHODSAdiposity changes during the period approximately 10 months-24 months after diagnosis were evaluated among 785 women diagnosed between 2012 and 2018 and enrolled in the Women's Circle of Health Follow-Up Study, a population-based prospective cohort of Black breast cancer survivors in New Jersey. Multilevel factors for weight and fat mass change (with gain or loss defined as a relative difference of 3% or more, and considering whether changes were intentional or unintentional) were estimated using multivariable polytomous logistic regressions and multilevel models.RESULTSAdiposity gain was prevalent: 28% and 47% gained weight and body fat, respectively, despite a high baseline prevalence of overweight or obesity (86%). Risk factors for fat mass gain included receiving chemotherapy (relative risk ratio: 1.59, 95% CI, 1.08 to 2.33) and residing in neighborhoods with a greater density of fast-food restaurants (relative risk ratio comparing highest with lowest tertile: 2.18, 95% CI, 1.38 to 3.46); findings were similar for weight gain. Only 9% of women had intentional weight loss, and multilevel risk factors differed vastly from unintentional loss.CONCLUSIONBoth individual and neighborhood factors were associated with adiposity change among Black breast cancer survivors. Residential environment characteristics may offer clinically meaningful information to identify cancer survivors at higher risk for unfavorable weight change and to address barriers to postdiagnosis weight management.

Public Rental Housing and Obesogenic Behaviors among Adults in Hong Kong: Mediator Role of Food and Physical Activity Environment.

Public rental housing (PRH) for low-income families has been shown in several studies to be associated with poor health status and obesity. However, the causes of this health disparity are controversial, and the associations and pathways between PRH and obesogenic behaviors remain unknown. Using cross-sectional survey data of 1977 adults living in Hong Kong (aged or over 18) together with multi-source GIS-based environmental data, we examined the associations between PRH and obesogenic behaviors and the extent to which those associations can be explained by neighborhood food and physical environment. The unhealthy food environment, which relates with infrequent fruit and vegetables consumption, was calculated based on the relative density of fast food restaurants and convenience stores to grocery stores. The physical activity environment, which relates to physical inactivity and prolonged sitting, was assessed in terms of density of sports facilities and street greenery, separately. Regressions and mediation analyses show that PRH was negatively associated with physical inactivity directly and also indirectly via higher sports facilities density; however, PRH was positively associated with unhealthy diet largely directly and positively associated with prolonged sitting indirectly via less street greenery. We advanced the international literature of PRH health impact assessment and its environmental health pathways by providing evidence from the least housing-affordable city in the world. The findings provide planning implications in formulating a healthier PRH community for these low-income PRH households and mitigating health disparities induced by housing type.

Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort

Diabetes causes substantial morbidity and mortality among adults in the US, yet its incidence varies across the country, suggesting that neighborhood factors are associated with geographical disparities in diabetes. To examine the association between neighborhood food environment and risk of incident type 2 diabetes across different community types (high-density urban, low-density urban, suburban, and rural). This is a national cohort study of 4 100 650 US veterans without type 2 diabetes. Participants entered the cohort between 2008 and 2016 and were followed up through 2018. The median (IQR) duration of follow-up was 5.5 (2.6-9.8) person-years. Data were obtained from Veterans Affairs electronic health records. Incident type 2 diabetes was defined as 2 encounters with type 2 diabetes International Classification of Diseases, Ninth Revision or Tenth Revision codes, a prescription for diabetes medication other than metformin or acarbose alone, or 1 encounter with type 2 diabetes International Classification of Diseases Ninth Revision or Tenth Revision codes and 2 instances of elevated hemoglobin A1c (≥6.5%). Data analysis was performed from October 2020 to March 2021. Five-year mean counts of fast-food restaurants and supermarkets relative to other food outlets at baseline were used to generate neighborhood food environment measures. The association between food environment and time to incident diabetes was examined using piecewise exponential models with 2-year interval of person-time and county-level random effects stratifying by community types. The mean (SD) age of cohort participants was 59.4 (17.2) years. Most of the participants were non-Hispanic White (2 783 756 participants [76.3%]) and male (3 779 555 participants [92.2%]). The relative density of fast-food restaurants was positively associated with a modestly increased risk of type 2 diabetes in all community types. The adjusted hazard ratio (aHR) was 1.01 (95% CI, 1.00-1.02) in high-density urban communities, 1.01 (95% CI, 1.01-1.01) in low-density urban communities, 1.02 (95% CI, 1.01-1.03) in suburban communities, and 1.01 (95% CI, 1.01-1.02) in rural communities. The relative density of supermarkets was associated with lower type 2 diabetes risk only in suburban (aHR, 0.97; 95% CI, 0.96-0.99) and rural (aHR, 0.99; 95% CI, 0.98-0.99) communities. These findings suggest that neighborhood food environment measures are associated with type 2 diabetes among US veterans in multiple community types and that food environments are potential avenues for action to address the burden of diabetes. Tailored interventions targeting the availability of supermarkets may be associated with reduced diabetes risk, particularly in suburban and rural communities, whereas restrictions on fast-food restaurants may help in all community types.

1109-P: The Effect of Neighborhood Food Environment on Diabetes Risk: A Multilevel Analysis of the Veterans Administration Diabetes Risk Cohort

Diabetes causes significant morbidity and mortality among adults in the US, yet incidence varies across the country, suggesting that neighborhood factors may contribute to geographic disparities in diabetes. In this longitudinal study, we examined the association between neighborhood food environment and risk of newly diagnosed (“incident”) diabetes in different communities (high density urban, low density urban, suburban, and rural). We created a retrospective dynamic, national cohort of 6,082,018 diabetes free US veterans identified from the Veterans Affairs electronic health records, enrolled between 2008 and 2016, and followed through 2018. Incident diabetes was defined as: 2 clinical encounters with diabetes ICD codes, a documented prescription for diabetes medication other than metformin or acarbose alone, or 1 clinical encounter with diabetes ICD codes and 2 elevated A1C (≥6.5%). Five-year average counts of fast-food restaurants and supermarkets relative to all other food outlets were used to generate two census tract-level neighborhood measures. We examined the association between food environment and incident diabetes using piecewise exponential survival models with county-level random effects. The average age of cohort participants was 59 years; the majority were non-Hispanic white (76.3%) and male (92.2%). Relative density of fast-food restaurants was associated with a modest increased risk of diabetes in all community types; adjusted hazard ratios (aHR) in high density urban, low density urban, and suburban communities were each 1.1, in rural communities was 1.2 (p &amp;lt; 0.05 for all). Relative density of supermarkets was associated with lower diabetes risk in suburban and rural communities only (aHR 0.7, 0.8, respectively, p &amp;lt;0.05). Neighborhood fast food and supermarkets influenced diabetes risk among US veterans in multiple community types, suggesting potential avenues for action to address the diabetes burden. Disclosure R. Kanchi: None. G. Imperatore: None. B. Elbel: None. L. Thorpe: None. P. M. Lopez: None. P. E. Rummo: None. D. C. Lee: None. S. Adhikari: Research Support; Self; Johnson &amp; Johnson. M. D. Schwartz: None. S. Avramovic: None. K. R. Siegel: None. D. B. Rolka: None. Funding Centers for Disease Control and Prevention

Multilevel Risk Factors for Weight Change after Breast Cancer Diagnosis Among Black Women

Abstract Background: Weight gain after breast cancer diagnosis increases the risk of mortality. African American/Black breast cancer survivors are more likely to have excess body weight than their White counterparts, which may contribute to their higher mortality rate. Emerging evidence suggests that post-diagnosis weight gain may result from multilevel determinants. However, no study has investigated the multilevel characteristics among Black breast cancer survivors. Objective: To evaluate associations between individual-level factors and neighborhood social and built environment factors with weight change after breast cancer diagnosis among Black women. Methods: We evaluated associations of interest among 785 women enrolled in the Women's Circle of Health Follow-Up Study (WCHFS), a longitudinal study of Black breast cancer survivors in New Jersey. Weight change was primarily based on measurements at baseline and follow-up visits (Median: 10.3 and 23.2 mo. since diagnosis, respectively). Participants were grouped into categories of stable weight (52.4%), ≥3% weight loss (20.0%), and ≥3% weight gain (27.6%). Using multivariate- adjusted multinomial logistic regression and multilevel multinomial logistic regression, we evaluated relative risk ratios (RRRs) for associations between multilevel factors and post-diagnosis weight change category. Results: Black breast cancer survivors who were older at diagnosis, had higher household income, post-menopausal status, and higher baseline BMI were less likely to gain weight compared to women with stable weight. Former smoking, higher tumor stage, and chemotherapy were associated with increased relative risk of weight gain (e.g. RRR-chemo: 1.45, 95% CI: 1.01, 2.08). Black women residing in neighborhoods in the highest tertile for density of walkable destinations had a decreased relative risk of post- diagnosis weight gain (e.g. RRR-T3 highest density vs. T1 lowest: 0.39, 95% CI: 0.20, 0.75), while those residing in neighborhoods with higher density of fast food restaurants had increased relative risk of weight gain (RRR-T3 highest density vs. T1 lowest: 1.94, 95% CI: 1.23, 3.05). Conclusion: Both individual and neighborhood factors may influence the risk of weight gain among Black women after breast cancer diagnosis.

Growing fast food consumption and obesity in Asia: Challenges and implications.

It is widely believed that better access to fast food (FF) outlets increases FF consumption and thus the risk of obesity; yet, thus far, there are limited results to support this conclusion in Asian countries. A recent study by Hall and his colleagues (in press) examined the cross-sectional relationship between FF restaurant density and the likelihood of being overweight or obese among 1388 female Filipino migrant workers living in Macao, China. It found that FF restaurant density within a 0.5-mile buffer zone around one's home was significantly associated with a 7% increase (95% CI: 1%-14%) in the odds of being overweight or obese in this population. Based on these findings, the authors suggested improving access to healthy foods as one of the means to fight the obesity epidemic. The current article examines literature 1) on the relationship between obesity, FF consumption, and access to FF outlets; 2) on different measures of access to FF outlets; 3) on potential confounders and effect modifiers such as neighborhood deprivation and transportation; and 4) on challenges and implications for researchers and policymakers. Considering the growing consumption of FF and obesity rates in many countries especially in developing countries, it is important to regulate the FF industry and help consumers improve their related knowledge and behaviors. We also recommend that government policies abate obesogenic environments and thus curb the obesity epidemic in the future.

Fast food restaurant density and weight status: A spatial analysis among Filipina migrant workers in Macao (SAR), People's Republic of China.

Female migrant populations are at high risk of being overweight or obese. Beyond individual risk factors, exposure to the neighborhood food environment may contribute to their unhealthy weight status in the host region. Incorporating spatial analysis, this study examined the association between exposure to fast food restaurants and unhealthy weight status among Filipina domestic workers in Macao (SAR), China. Data were collected from 1388 Filipina domestic workers recruited using respondent-driven sampling between November 2016 to August 2017. Self-reported data on demographic characteristics, residential mailing address, and health-related behaviors were collected using tablet devices. Height and weight were objectively measured at the study site. Restaurant locations and resident addresses were geocoded and integrated into a shapefile for residential locations using ArcGIS. Nearly 64% of participants were classified as being overweight or obese, with 25.02% overweight and 38.96% obese. Adjusted multivariable logistic regression indicated that increased fast food restaurant density within a 0.5-mile buffer zone around a residential address was positively associated with higher odds of being overweight and obese (aOR=1.07; 95% CI [1.01-1.14]. Increased fast food restaurant density was associated with unhealthy weight status among Filipina domestic workers in Macao (SAR), China. Providing healthy working environment, including access to healthy food, is indicated to improve the health of this population.

Do Environmental Factors Predict Changes To Physical Activity And Sedentary Behaviour Equally?

PURPOSE: To investigate environmental determinants of change to sedentary behaviour (SB), light-intensity physical activity (LPA) and moderate-to-vigorous intensity physical activity (MVPA) in those at risk of diabetes. METHODS: Cohort of 808 adults recruited from family practice (age = 63 years, BMI = 32 kg/m2, women = 36%) followed up annually over 3 years. Participants were included based on being above the 90th percentile of the Leicester Diabetes Risk Score, indicating a high risk. SB, LPA and MVPA were measured by accelerometer (Actigraph GT3X) using the Freedson cut-points with at least 4 valid days of data. Geographical and air pollution mapping were used to link environmental data to participant’s home address. Data were analysed using a repeated measures design assessing determinants of change to SB, LPA and MVPA. Results are presented as mean (SD) or mean (95% CI). RESULTS: At baseline, accelerometers were worn for an average of 649 (83) minutes/day, during which an average of 27 (25) minutes/day, 288 (77) minutes/day and 543 (100) minutes/day were spent in MVPA, LPA and SB respectively. Across the study period, wear time did not change, whilst SB increased by 9 (7, 10) minutes /day per year, matched by a decrease in LPA and MVPA of 7 (5, 8) and 2 (1, 2) minutes/day per year respectively. Less green space, higher road connectivity (busier traffic), greater air pollution and a higher density of fast food restaurants were all determinants of increasing SB and decreasing LPA (See Table 1), but none were associated with change to MVPA. Environmental factors were stronger determinants of change to SB and LPA than an overall index of social deprivation. CONCLUSION: In this high risk population, a less healthy environment predicted greater annual increases in SB and decreases in LPA, but not MVPA. Policies and interventions aimed at improving the liveable environment may therefore act to slow the trajectory of increasing SB and decreasing LPA in populations at risk of diabetes.Table 1: Association between environmental factors and annual change to SB, LPA and MVPA.Data as mean (95% CI). Adjusted for age, sex and ethnicity. Bold indicates significance (p < 0.05).

Assessing county-level determinants of diabetes in the United States (2003-2012).

Using data from the United States Behavioral Risk Factor Surveillance System (2003-2012; N=3,397,124 adults), we estimated associations between prevalent diabetes and four county-level exposures (fast food restaurant density, convenience store density, unemployment, active commuting). All associations confirmed our a priori hypotheses in conventional multilevel analyses that pooled across years. In contrast, using a random-effects within-between model, we found weak, ambiguous evidence that within-county changes in exposures were associated with within-county change in odds of diabetes. Decomposition revealed that the pooled associations were largely driven by time-invariant, between-county factors that may be more susceptible to confounding versus within-county associations.

Impact of neighbourhood food environment on diet and obesity in China: a systematic review.

This study systematically reviewed literature on the neighbourhood food environment in relation to diet and obesity among residents in China. A keyword search of peer-reviewed articles was performed in Cochrane Library, PubMed, and Web of Science. Eligibility criteria include study designs: longitudinal/cohort studies or cross-sectional studies; study participants: people of all ages; exposures: neighbourhood food environment (e.g. restaurants, supermarkets, wet markets, fast-food restaurants, or convenience stores); outcomes: diet and/or body weight status; and country: China. Seventeen studies met all criteria and were included. Among the eight studies that assessed the neighbourhood food environment in relation to diet, six reported at least one statistically significant relationship in the expected direction, whereas the remaining two exclusively reported null effects. Among the eleven studies that assessed the neighbourhood food environment in relation to body weight or overweight/obesity, ten reported a significant association whereas the remaining one reported a null relationship. Variety, density, and proximity of food outlets were positively associated with local residents' dietary diversity, portion size, and daily caloric intake. Density and proximity of fast-food restaurants and convenience stores were positively associated with local residents' adiposity in some but not all studies. Evidence linking any specific food outlet type to diet/obesity remains lacking due to the small number of studies and heterogeneities in food environment measures, geographical locations, and population subgroups. The neighbourhood food environment may influence diet and obesity among Chinese residents but the evidence remains preliminary. Future studies adopting an experimental study design and objective/validated environment and dietary measures are warranted.

Local fast-food environment, diet and blood pressure: the moderating role of mastery

PurposeTo examine the moderating role of mastery in the association of local fast-food restaurants (FFR) with diet quality and systolic blood pressure (SBP).MethodsWe used cross-sectional data from 1543 adults participating in wave six of the Netherlands Study of Depression and Anxiety (NESDA). Data were collected between 2013 and 2016. Diet quality was defined by adherence with the dietary approaches to stop hypertension (DASH) diet. Individuals reported on their food consumption through a food frequency questionnaire and SBP was measured. Density of FFR in 1600 m, 800 m and 400 m circular buffers around the home postal code was calculated using Geographic Information Systems. We assessed the association between density of FFR, diet and SBP using linear regression analyses, testing for moderation by mastery.ResultsMean age was 52 years and 32.2% of the sample were men. Exposure to FFR ranged from 0 to 35 FFR per km2. Density of FFR was not significantly associated with DASH adherence or SBP. Only one out of the six interaction terms was significant, suggesting that for individuals with lower levels of mastery, higher density of FFR in an 800-m buffer was negatively associated with DASH adherence, while for individuals with higher levels of mastery, this association was positive.ConclusionsExposure to FFR was not associated with diet quality and SBP, and we observed little evidence for moderation by level of mastery. This research question should be further explored in a large sample of healthy adults.

Local Retail Food Environment and Consumption of Fruit and Vegetable among Adults in Hong Kong.

Outside of western countries, the study of the local food environment and evidence for its association with dietary behavior is limited. The aim of this paper was to examine the association between the local retail food environment and consumption of fruit and vegetables (FV) among adults in Hong Kong. Local retail food environment was measured by density of different types of retail food outlets (grocery stores, convenience stores, and fast food restaurants) within a 1000 m Euclidean buffer around individual’s homes using a geographic information system (GIS). The Retail Food Environment Index (RFEI) was calculated based on the relative density of fast-food restaurants and convenience stores to grocery stores. Logistic regressions were performed to examine associations using cross-sectional data of 1977 adults (18 years or older). Overall, people living in an area with the highest RFEI (Q4, >5.76) had significantly greater odds of infrequent FV consumption (<7 days/week) after covariates adjustment (infrequent fruit consumption: OR = 1.36, 95% CI 1.04–1.78; infrequent vegetable consumption: OR = 1.72, 95% CI 1.11–2.68) in comparison to the lowest RFEI (Q1, <2.25). Highest density of fast food restaurants (Q4, >53) was also significantly associated with greater odds of infrequent fruit consumption (<7 days/week) (unadjusted model: OR = 1.34, 95% CI 1.04–1.73), relative to lowest density of fast food restaurants (Q1, <13). No significant association of density of grocery stores or convenience stores was observed with infrequent FV consumption regardless of the covariates included in the model. Our results suggest that the ratio of fast-food restaurants and convenience stores to grocery stores near people’s home is an important environmental factor in meeting fruit and vegetable consumption guidelines. “Food swamps” (areas with an abundance of unhealthy foods) rather than “food deserts” (areas where there is limited access to healthy foods) seems to be more of a problem in Hong Kong’s urban areas. We advanced international literature by providing evidence in a non-western setting.