scholarly journals Nutrition Environment Scores of Local Food Retailers and Proximity to Study Participants' Residence in Rural South (P04-157-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Melissa Goodman ◽  
Jessica Thomson ◽  
Alicia Landry

Abstract Objectives An 18-month, two-arm, randomized, controlled trial designed to evaluate the comparative impact of two home visiting programs on gestational weight gain, postpartum weight loss, and diet was conducted with rural, Southern, African American women. Although nutrition education was an experimental treatment component, the intervention was not effective at improving participants’ poor diets. To better understand the dietary choices made by these women, an examination of the food environment was conducted in the towns in which they resided. Methods Food retailers were measured with the Nutritional Environment Measures Surveys (NEMS). ArcGIS was used to geocode study participants’ residence and food retailers and to compute driving distances between participants’ residence and food retailers. Participants’ diet quality was measured with Healthy Eating Index (HEI). Associations among food retailers’ type and NEMS score, driving distances between residences and food retailers, and HEI total and component scores were examined. Results Significant differences between types of food retailers were found for % of maximum NEMS scores: grocery stores (60%), full service restaurants (42%), fast food restaurants (36%), and convenience stores (26%). Participants were closer to convenience stores (mean = .4 miles) and fast food restaurants (mean = .5 miles) than to full service restaurants (mean = 1.1 miles) and grocery stores (mean = 1.6 miles). Three-fourths of participants lived within ½ mile of a convenience store and two-thirds lived within ½ mile of a fast food restaurant, while 6% lived within ½ mile of a grocery store. Only 19% shopped at their closest grocery store while two-thirds traveled a greater distance to shop at a larger national chain grocery store. The mean distance to the closest grocery store was 1.6 miles as compared to 4.2 miles for the store where most of the food was purchased. The refined grains HEI score was negatively correlated with distances to the closest convenience store, fast food restaurant, and full service restaurant. Conclusions The food environment of these rural, Southern, African American women provided numerous, convenient opportunities for unhealthy eating. Funding Sources US Department of Agriculture, Agricultural Research Service.

Author(s):  
Ting Zhang ◽  
Bo Huang

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.


2021 ◽  
Vol 45 (2) ◽  
pp. 290-308
Author(s):  
Jessica L. Thomson ◽  
Alicia S. Landry ◽  
Tameka I. Walls ◽  
Melissa H. Goodman

Objectives: In this study, we tested for moderation by neighborhood food outlet presence on relationships between food outlet shopping or meal sources and dietary intake. Methods: We used generalized linear models to analyze parent-adolescent (12-17 years) dyad data from the 2014 Family Life, Activity, Sun, Health and Eating. Questions included food outlet presence in home (parent) and school (adolescent) neighborhoods (yes or no), shopping at food outlets (parent) (never, rarely, sometimes, often or always), and sources of food consumed away from and at home (weekly frequency). We captured food and beverage intakes via a dietary screener. Results: Relationships between adolescent added sugar intake and scratch cooked evening meals and meals away from home were found only when grocery stores and fast food restaurants, respectively, were present in adolescents' school neighborhoods. Shopping at fruit and vegetable (FV) markets and scratch cooked evening meals were associated with the largest increases in parent and adolescent FV intakes, respectively. Meals away from home at convenience stores were associated with the largest increases in parent and adolescent intakes of added sugars. Conclusions: Neighborhood grocery store and fast food restaurant presence moderated relationships between meal sources and dietary intake only in adolescents.


2019 ◽  
Vol 23 (3) ◽  
pp. 457-473 ◽  
Author(s):  
Ruopeng An ◽  
Li He ◽  
MS Jing Shen

AbstractObjective:This study systematically reviewed literature on the neighbourhood food environment in relation to diet and obesity among residents in China.Design: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.Results: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.Conclusions: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.


Author(s):  
Man Zhang ◽  
Wen Guo ◽  
Na Zhang ◽  
Hairong He ◽  
Yu Zhang ◽  
...  

Objective: To investigate the association between the neighborhood food environment and body mass index (BMI) among Chinese older adults. Methods: A multi-stage stratified random sampling method was used to recruit participants from 12 communities in Beijing, China, in 2019. Participants (n = 1764, 1034 women) in this study were older adults aged 65 to 80. We collected the participants’ basic information, measured their height and weight, and calculated their BMI. Neighborhood food environments were measured by the density of and proximity to different food outlets using the Baidu Map Application Programming Interface. Adjusted multiple linear regression was performed to estimate the association between the food environment and BMI. Results: Participants had a mean age of 69.7 ± 4.32 years old and an average BMI of 26.3 ± 3.50 kg/m2. Among the three types of stores, convenience stores had the easiest access, followed by greengrocers and supermarkets. Sit-down restaurants had the best access among different restaurants, followed by Chinese fast-food restaurants, and western fast-food restaurants had the worst access. Easier access to greengrocers (β = 0.281, p < 0.001) and sit-down restaurants (β = 0.304, p < 0.001) was associated with higher BMI in the 250 m buffer zone. More supermarkets were associated with higher BMI in the 500 m buffer zone (β = 0.593, p < 0.001). Access to convenience stores was positively associated with BMI in the 800 m buffer zone (β = 0.057, p < 0.001). Better access to Chinese fast-food restaurants was associated with higher BMI (β = 0.071, p = 0.001), and better access to western fast- food restaurants was associated with lower BMI (β = −0.400, p < 0.001) in the 1000 m buffer zone. There was a negative association between the nearest distance to greengrocers and BMI (β = −0.004, p < 0.001). Conclusion: Although we found some significant associations between the neighborhood food environment and obesity, the current results are not strong enough to draw specific conclusions. Policymakers will need to rely on more evidence to derive concrete policy recommendations.


2020 ◽  
Vol 14 ◽  
pp. 117955652093212
Author(s):  
Wenes Pereira Reis ◽  
Mark Ghamsary ◽  
Caroline Galustian ◽  
Henrik Galust ◽  
Patti Herring ◽  
...  

Obesity continues to be a health burden to society and new efforts may be needed to combat this epidemic. This study aims to investigate the contribution of parents education and level of income, food environment (grocery stores and fast food restaurants), and built environment (perceived safety, availability/quantity of parks) on childhood obesity. This cross-sectional observational study explored whether parents education and income level, built environment, and food environment can affect children with obesity. Participants were selected from 3 separate elementary schools located in an urban community with higher risk to have children with obesity in Montclair, California. Children living in families with low incomes have 2.31 times greater odds to be affected by obesity than children living in higher income homes. Children whose parents did not feel safe in their neighborhoods had odds of obesity 2.23 times greater than those who reported their neighborhoods as safe. Age also appeared to be a risk factor, and the odds of children affected by obesity among children 8 to 9 years was 0.79, and the odds of being affected by obesity among children 10 to 11 years of age was 0.36, when compared to children 6 to 7 years old. Findings suggest that low family income, perceptions of neighborhoods as unsafe, and young age are associated with higher body mass index (BMI) percentiles among children living in poor neighborhoods in Montclair, California.


Author(s):  
Mariane Alves ◽  
Maria Pinho ◽  
Elizabeth Corrêa ◽  
Janaina das Neves ◽  
Francisco de Assis Guedes de Vasconcelos

Considering the association between the neighborhood food environment and individual eating behaviors, this study aimed to assess the association between parents’ reported use of food facilities by their children, and parental perceived travel time to food facilities, with their children’s dietary patterns. Parents reported the use of supermarkets, full-service and fast-food restaurants, and perceived travel time to these food retailers. To assess school children’s food consumption, a previous day dietary recall was applied. Factor analysis was conducted to identify dietary patterns. To test the association between reported use and perceived travel time to food retailers and school children’s dietary patterns, we performed multilevel linear regression analyses. Parents’ reported use of supermarkets was associated with children’s higher score in the “Morning/Evening Meal” pattern. The use of full-service and fast-food restaurants was associated with children’s higher score in the “Fast Food” pattern. Higher parental perceived travel time to full-service and fast-food restaurants was associated with children’s lower score in the “Fast Food” pattern. Although the use of full-service and fast-food restaurants was associated with a less healthy dietary pattern, the perception of living further away from these food retailers may pose a barrier for the use of these facilities.


2020 ◽  
Author(s):  
Tim Althoff ◽  
Hamed Nilforoshan ◽  
Jenna Hua ◽  
Jure Leskovec

IMPORTANCE An unhealthy diet is a key risk factor for chronic diseases including obesity, diabetes, and heart disease. Limited access to healthy food options may contribute to unhealthy diets. However, previous studies of food environment have led to mixed results, potentially due to methodological limitations of small sample size, single location, and non-uniform design across studies. OBJECTIVE To quantify the independent impact of fast food and grocery access, income and education on food consumption and weight status. DESIGN, SETTING AND PARTICIPANTS Retrospective cohort study of 1,164,926 participants across 9,822 U.S. zip codes logging 2.3 billion consumed foods. Participants were users of the MyFitnessPal smartphone application and used the app to monitor their caloric intake for an average of 197 days each (min 10, max 1,825 days, STD=242). MAIN OUTCOMES AND MEASURES The primary outcomes were relative change in consumption of fresh fruits and vegetables, fast food, and soda, as well as relative change in likelihood of overweight/obese body mass index (BMI), based on food consumption logs. Food access measures for each zip code were computed from USDA Food Access Research Atlas and Yelp.com, and demographic, income and education measures were based on Census data. Genetic Matching-based approaches were used to create matched pairs of zip codes. RESULTS Access to grocery stores, non-fast food restaurants, income, and education were independently associated with healthier food consumption and lower prevalence of overweight/obese BMI levels. Substantial differences were observed between predominantly Black, Hispanic, and White zip codes. For instance, within predominantly Black zip codes we found that high income was associated with a decrease in healthful food consumption patterns across fresh fruits and vegetables and fast food. Further, high grocery access had a significantly larger association with increased fruit and vegetable consumption in predominantly Hispanic (7.4% increase) and Black (10.2% increase) zip codes in contrast to predominantly White zip codes (1.7% increase). CONCLUSIONS AND RELEVANCE Policy targeted at improving access to grocery stores, access to non-fast food restaurants, income and education may significantly increase healthy eating, but interventions may need to be adapted to specific subpopulations for optimal effectiveness.


2018 ◽  
Vol 21 (15) ◽  
pp. 2842-2851 ◽  
Author(s):  
Martine Shareck ◽  
Daniel Lewis ◽  
Neil R Smith ◽  
Christelle Clary ◽  
Steven Cummins

AbstractObjectiveTo examine associations between availability of fast-food restaurants and convenience stores in the home and school neighbourhoods, considered separately and together, and adolescents’ fast-food and sugar-sweetened beverage (SSB) intakes.DesignCross-sectional observational study.SettingEast London, UK.SubjectsAdolescents (n3089; aged 13–15 years) from the Olympic Regeneration in East London (ORiEL) Study self-reported their weekly frequency of fast-food and SSB consumption. We used food business addresses collected from local authority registers to derive absolute (counts) and relative (proportions) exposure measures to fast-food restaurants and convenience stores within 800 m from home, school, and home and school combined. Associations between absolute and relative measures of the food environment and fast-food and SSB intakes were assessed using Poisson regression models with robust standard errors.ResultsAbsolute exposure to fast-food restaurants or convenience stores in the home, school, or combined home and school neighbourhoods was not associated with any of the outcomes. High SSB intake was associated with relative exposure to convenience stores in the residential neighbourhood (risk ratio=1·45; 95 % CI 1·08, 1·96) and in the home and school neighbourhoods combined (risk ratio=1·69; 95 % CI 1·11, 2·57).ConclusionsWe found no evidence of an association between absolute exposure to fast-food restaurants and convenience stores around home and school and adolescents’ fast-food and SSB intakes. Relative exposure, which measures the local diversity of the neighbourhood food environment, was positively associated with SSB intake. Relative measures of the food environment may better capture the environmental risks for poor diet than absolute measures.


Author(s):  
Jason Scully ◽  
Anne Moudon ◽  
Philip Hurvitz ◽  
Anju Aggarwal ◽  
Adam Drewnowski

Exposure to food environments has mainly been limited to counting food outlets near participants’ homes. This study considers food environment exposures in time and space using global positioning systems (GPS) records and fast food restaurants (FFRs) as the environment of interest. Data came from 412 participants (median participant age of 45) in the Seattle Obesity Study II who completed a survey, wore GPS receivers, and filled out travel logs for seven days. FFR locations were obtained from Public Health Seattle King County and geocoded. Exposure was conceptualized as contact between stressors (FFRs) and receptors (participants’ mobility records from GPS data) using four proximities: 21 m, 100 m, 500 m, and ½ mile. Measures included count of proximal FFRs, time duration in proximity to ≥1 FFR, and time duration in proximity to FFRs weighted by FFR counts. Self-reported exposures (FFR visits) were excluded from these measures. Logistic regressions tested associations between one or more reported FFR visits and the three exposure measures at the four proximities. Time spent in proximity to an FFR was associated with significantly higher odds of FFR visits at all proximities. Weighted duration also showed positive associations with FFR visits at 21-m and 100-m proximities. FFR counts were not associated with FFR visits. Duration of exposure helps measure the relationship between the food environment, mobility patterns, and health behaviors. The stronger associations between exposure and outcome found at closer proximities (<100 m) need further research.


SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110319
Author(s):  
Tae Kyun Na ◽  
Jae Yeon Yang ◽  
Sun Ho Lee

The aim of this study was to derive determinants that affect the behavior associated with using self-order kiosks among fast-food restaurant consumers through the Unified Theory of Acceptance and Use of Technology model, and to analyze the moderating effect of consumers’ difference age (difference between individuals’ cognitive age and chronological age) among the variables. From December 1 to 30, 2019, a survey was conducted on 316 customers using four different fast-food restaurants in the Seoul Station. The results showed that the higher the price value, social influence, performance expectancy, and hedonic motivation, the higher the behavioral intention of ordering through the kiosk; furthermore, the higher the difference age, the higher the behavioral intention of using a kiosk. Therefore, fast-food restaurant operators need to ensure that customers who are unfamiliar with using kiosks can order and make payments through kiosks with minimal effort and reasonable price value.


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