Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Oct 20;17(20):7658.
doi: 10.3390/ijerph17207658.

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

Man Zhang  1 , Wen Guo  1 , Na Zhang  1 , Hairong He  1 , Yu Zhang  1 , Mingzhu Zhou  1 , Jianfen Zhang  1 , Muxia Li  1 , Guansheng Ma  1   2
Affiliations

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

Man Zhang et al. Int J Environ Res Public Health. .

Abstract

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.

Keywords: body mass index; food environment; obesity; older adults.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Participants’ neighborhood food environment density characteristics.
Figure 2
Figure 2
Participants’ neighborhood food environment proximity characteristics.
See this image and copyright information in PMC

References

    1. Song M.N., Cheng X., Kong J.X., Wang H.M. Prevalence and influencing factors of overweight and obesity among middle-aged and elderly people in China. Chin. J. Dis. Control Prev. 2018;22:804–808.
    1. Yan H.M., Zhang L., Mi Y.L., Liu X.P. Analysis of Health Checkup Results of the Elderly in Changying Community of Chaoyang District. Contin. Med. Educ. 2020;34:71–73.
    1. Wang H.L. Analysis on the data of health examination of aged people at a community station in Beijing. Basic Clin. Med. 2019;39:1045–1047.
    1. Shi M.M., Zhang Y., Zhang Z.G., Han L. Analysis of the results of physical examination of the elderly aged 65 and above in Yufa district of Beijing. Contin. Med. Educ. 2018;32:99–101.
    1. Swinburn B.A., Sacks G., Hall K.D., McPherson K., Finegood D.T., Moodie M.L., Gortmaker S.L. Obesity 1: The global obesity pandemic: Shaped by global drivers and local environments. Lancet. 2011;378:804–813. doi: 10.1016/S0140-6736(11)60813-1. - DOI - PubMed

LinkOut - more resources