scholarly journals Association between Neighborhood Food Environment and Body Mass Index among Older Adults in Beijing, China: A Cross-Sectional Study

2020 ◽  
Vol 17 (20) ◽  
pp. 7658
Author(s):  
Man Zhang ◽  
Wen Guo ◽  
Na Zhang ◽  
Hairong He ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Body Mass ◽  
Food Environment ◽  
Fast Food ◽  
Buffer Zone ◽  
Convenience Stores ◽  
Neighborhood Food Environment ◽  
Fast Food Restaurants ◽  
Beijing China

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.

Child body mass index, obesity, and proximity to fast food restaurants

2011 ◽  
Vol 6 (1) ◽  
pp. 60-68 ◽  
Author(s):  
Jennifer M. Mellor ◽  
Carrie B. Dolan ◽  
Ronald B. Rapoport
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Fast Food ◽  
Child Body Mass Index ◽  
Fast Food Restaurants

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

2018 ◽  
Vol 15 (10) ◽  
pp. 2247 ◽  
Author(s):  
Ting Zhang ◽  
Bo Huang
Keyword(s):  
Hong Kong ◽  
Food Environment ◽  
Fast Food ◽  
Vegetable Consumption ◽  
Grocery Stores ◽  
Fruit Consumption ◽  
Retail Food Environment ◽  
Convenience Stores ◽  
Fast Food Restaurants ◽  
Retail Food

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.

scholarly journals The Moderating Role of Self-Control and Financial Strain in the Relation between Exposure to the Food Environment and Obesity: The GLOBE Study

2019 ◽  
Vol 16 (4) ◽  
pp. 674 ◽  
Author(s):  
Joreintje Mackenbach ◽  
Marielle Beenackers ◽  
J. Noordzij ◽  
Joost Oude Groeniger ◽  
Jeroen Lakerveld ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Food Environment ◽  
Fast Food ◽  
Self Control ◽  
Financial Strain ◽  
Food Retailers ◽  
Low Self Control ◽  
Moderating Role

Low self-control and financial strain may limit individuals’ capacity to resist temptations in the local food environment. We investigated the moderating role of self-control and financial strain in the relation between the food environment and higher body weight. We used data from 2812 Dutch adults who participated in the population-based GLOBE study in 2014. Participants’ home addresses and the location of food retailers in 2013 were mapped using GIS. The density of fast food retailers and the totality of food retailers in Euclidean buffers of 250, 400 and 800 m around the home were linked to body mass index and overweight status. A higher density of fast food outlets (B (95% confidence interval (CI)) = −0.04 (−0.07; −0.01)) and the totality of food outlets (B (95% CI) = −0.01 (−0.01; −0.00)) were associated with a lower body mass index. Stratification showed that associations were strongest for those experiencing low self-control or great financial strain. For example, every additional fast food outlet was associated with a 0.17 point lower BMI in those with great financial strain, while not significantly associated with BMI in those with no financial strain. In conclusion, we did find support for a moderating role of self-control and financial strain, but associations between the food environment and weight status were not in the expected direction.

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

2019 ◽  
Vol 23 (3) ◽  
pp. 457-473 ◽  
Author(s):  
Ruopeng An ◽  
Li He ◽  
MS Jing Shen
Keyword(s):  
Body Weight ◽  
Food Environment ◽  
Fast Food ◽  
Weight Status ◽  
Dietary Diversity ◽  
Portion Size ◽  
Cochrane Library ◽  
Convenience Stores ◽  
Fast Food Restaurants ◽  
Local Residents

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.

scholarly journals Longitudinal state-level effects on change in body mass index among middle-aged and older adults in the USA

2017 ◽  
Vol 77 (1) ◽  
pp. 59-72
Author(s):  
Cheng-Chia Chen ◽  
Dong-Chul Seo ◽  
Hsien-Chang Lin
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Fast Food ◽  
Sample Selection ◽  
State Level ◽  
Lower State ◽  
Potential Health ◽  
Bmi Trajectories ◽  
The Usa ◽  
Fast Food Restaurants

Objective: The purpose of this longitudinal study was to examine the effects of state-level socioeconomic status (SES), the density of fast food restaurants and walking to work on body mass index (BMI) among US adults aged 50 years and older. The study sought further to account for the interaction effects of three different hierarchical levels of variables, including time-varying variables and time-invariant variables such as individual and state-level variables. Confounding related to environmental/neighbourhood effects was controlled for through sample selection. Methods: Data were drawn from the 2000–2010 Health and Retirement Study (HRS) and the 2010 US Census. HRS survey participants aged 50 years and older in 2000, residing in the same census tract during 2000–2010 ( N = 6,156) comprised the study sample. A three-level growth model was fitted to BMI trajectories. Results: BMI significantly increased over time showing both a linear and quadratic decelerating trajectory ( p < .001) where BMI grew faster among sampled adults in their early 50s. Women living in the US states with a lower state-level SES had higher BMIs, while men with higher state-level SES had a higher BMI ( b = −.242, p = .013). In states with a higher proportion of people who walked to work, Hispanics had higher BMIs at baseline and a lower BMI growth rate, compared with non-Hispanic whites ( b = −.033, p < .001). Conclusions: Obesity interventions specific to adults aged 50 years and older require greater emphasis. Potential health inequalities regarding weight gain can be ameliorated through tailoring interventions based on sex, environmental and state-level SES influences.

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
Keyword(s):  
African American Women ◽  
Food Environment ◽  
Fast Food ◽  
Grocery Store ◽  
Grocery Stores ◽  
Fast Food Restaurant ◽  
Convenience Stores ◽  
Food Retailers ◽  
Fast Food Restaurants ◽  
Study Participants

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.

scholarly journals The retail food environment and its association with body mass index in Mexico

2021 ◽  
Author(s):  
Elisa Pineda ◽  
Eric J. Brunner ◽  
Clare H. Llewellyn ◽  
Jennifer S. Mindell
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Food Environment ◽  
Healthy Food ◽  
Density Increase ◽  
Convenience Store ◽  
Food Outlet ◽  
Retail Food Environment ◽  
Convenience Stores ◽  
Retail Food

Abstract Background/Objective Mexico has one of the highest rates of obesity and overweight worldwide, affecting 75% of the population. The country has experienced a dietary and food retail transition involving increased availability of high-calorie-dense foods and beverages. This study aimed to assess the relationship between the retail food environment and body mass index (BMI) in Mexico. Subjects/Methods Geographical and food outlet data were obtained from official statistics; anthropometric measurements and socioeconomic characteristics of adult participants (N = 22,219) came from the nationally representative 2012 National Health and Nutrition Survey (ENSANUT). Densities (store count/census tract area (CTA)) of convenience stores, restaurants, fast-food restaurants, supermarkets and fruit and vegetable stores were calculated. The association of retail food environment variables, sociodemographic data and BMI was tested using multilevel linear regression models. Results Convenience store density was high (mean (SD) = 50.0 (36.9)/CTA) compared with other food outlets in Mexico. A unit increase in density of convenience stores was associated with a 0.003 kg/m2 (95% CI: 0.0006, 0.005, p = 0.011) increase in BMI, equivalent to 0.34 kg extra weight for an adult 1.60 m tall for every additional 10% store density increase (number of convenience stores per CTA (km2)). Metropolitan areas showed the highest density of food outlet concentration and the highest associations with BMI (β = 0.01, 95% CI: 0.004–0.01, p < 0.001). A 10% store density increase in these areas would represent a 1 kg increase in weight for an adult 1.60 m tall. Conclusions Convenience store density was associated with higher mean BMI in Mexican adults. An excessive convenience store availability, that offers unhealthy food options, coupled with low access to healthy food resources or stores retailing healthy food, including fruits and vegetables, may increase the risk of higher BMI. This is the first study to assess the association of the retail food environment and BMI at a national level in Mexico.

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