Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study.

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH International Journal of Health Geographics Pub Date : 2023-09-20 DOI:10.1186/s12942-023-00345-4
Yasemin Algur, Pasquale E Rummo, Tara P McAlexander, S Shanika A De Silva, Gina S Lovasi, Suzanne E Judd, Victoria Ryan, Gargya Malla, Alain K Koyama, David C Lee, Lorna E Thorpe, Leslie A McClure
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Abstract

Background: Communities in the United States (US) exist on a continuum of urbanicity, which may inform how individuals interact with their food environment, and thus modify the relationship between food access and dietary behaviors.

Objective: This cross-sectional study aims to examine the modifying effect of community type in the association between the relative availability of food outlets and dietary inflammation across the US.

Methods: Using baseline data from the REasons for Geographic and Racial Differences in Stroke study (2003-2007), we calculated participants' dietary inflammation score (DIS). Higher DIS indicates greater pro-inflammatory exposure. We defined our exposures as the relative availability of supermarkets and fast-food restaurants (percentage of food outlet type out of all food stores or restaurants, respectively) using street-network buffers around the population-weighted centroid of each participant's census tract. We used 1-, 2-, 6-, and 10-mile (~ 2-, 3-, 10-, and 16 km) buffer sizes for higher density urban, lower density urban, suburban/small town, and rural community types, respectively. Using generalized estimating equations, we estimated the association between relative food outlet availability and DIS, controlling for individual and neighborhood socio-demographics and total food outlets. The percentage of supermarkets and fast-food restaurants were modeled together.

Results: Participants (n = 20,322) were distributed across all community types: higher density urban (16.7%), lower density urban (39.8%), suburban/small town (19.3%), and rural (24.2%). Across all community types, mean DIS was - 0.004 (SD = 2.5; min = - 14.2, max = 9.9). DIS was associated with relative availability of fast-food restaurants, but not supermarkets. Association between fast-food restaurants and DIS varied by community type (P for interaction = 0.02). Increases in the relative availability of fast-food restaurants were associated with higher DIS in suburban/small towns and lower density urban areas (p-values < 0.01); no significant associations were present in higher density urban or rural areas.

Conclusions: The relative availability of fast-food restaurants was associated with higher DIS among participants residing in suburban/small town and lower density urban community types, suggesting that these communities might benefit most from interventions and policies that either promote restaurant diversity or expand healthier food options.

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按社区类型评估食物环境与饮食炎症之间的关系:一项横断面REGARDS研究。
背景:美国的社区存在于城市化的连续体中,这可能会告知个体如何与食物环境互动,从而改变食物获取和饮食行为之间的关系。目的:这项横断面研究旨在检验社区类型对美国各地食物出口相对可用性和饮食炎症之间关系的改变作用。方法:使用脑卒中地理和种族差异REasons研究(2003-2007)的基线数据,我们计算了参与者的饮食炎症评分(DIS)。DIS越高,表明暴露于更大的促炎性物质。我们将我们的风险敞口定义为超市和快餐店的相对可用性(分别占所有食品店或餐馆的食品店类型的百分比),使用每个参与者人口普查区的人口加权质心周围的街道网络缓冲区。我们使用了1英里、2英里、6英里和10英里(~ 2-、3-、10-和16km)缓冲区大小。使用广义估计方程,我们估计了相对食物出口可用性与DIS之间的关联,控制了个人和社区的社会人口统计以及总食物出口。超市和快餐店的比例是一起建模的。结果:参与者(n = 20322)分布于所有社区类型:高密度城市(16.7%)、低密度城市(39.8%)、郊区/小城镇(19.3%)和农村(24.2%)。在所有社区类型中,平均DIS为-0.004(SD = 2.5;最小 = -最大14.2 = 9.9)。DIS与快餐店的相对供应有关,但与超市无关。快餐店和DIS之间的关联因社区类型而异(P代表互动 = 0.02)。快餐店相对供应量的增加与郊区/小城镇和低密度城市地区的DIS较高有关(p值 结论:在居住在郊区/小城镇和低密度城市社区类型的参与者中,快餐店的相对可用性与较高的DIS相关,这表明这些社区可能从促进餐馆多样性或扩大更健康食物选择的干预措施和政策中受益最大。
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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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