Gebremariam Alemayehu Digssie, Kent Katherine, Charlton Karen
School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia.
Department of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Curr Nutr Rep. 2025 May 31;14(1):74. doi: 10.1007/s13668-025-00662-z.
Unhealthy diets are a major modifiable factor contributing to chronic noncommunicable diseases and are highly influenced by the surrounding community food environment. This review aimed to summarize and synthesize the existing published evidence on the relationship between the community food environment and health outcomes in high-income countries. RECENT FINDINGS: A systematic literature review using five databases was conducted and reported according to PRISMA guidelines (Registration number: CRD42023463886). Data were extracted from 55 studies and summarised using narrative synthesis due to heterogeneity. A harvest plot was used to depict the associations between the community food environment and health outcomes for various "healthy" and "unhealthy" food environment metrics. Among 55 included studies, the most researched health outcomes were diabetes (n = 31; 56.4%), cardiovascular diseases (n = 22; 40%) and chronic disease-associated mortality (n = 8; 14.6%). The density of fast-food outlets was predominantly positively associated with diabetes (n = 14/24 associations), cardiovascular diseases (n = 14/27), and chronic disease-associated mortality (n = 5/6). Similarly, the presence of fast-food outlets (n = 7/9), the density of convenience stores (n = 7/13), and the ratio/proportion of unhealthy food outlets (n = 4/4) were predominantly positively associated with diabetes. Conversely, the density of full-service restaurants (n = 8/12) was predominantly negatively associated with diabetes. Emerging evidence suggests an association between the community food environment and health outcomes, including diabetes, cardiovascular diseases, and chronic disease-associated mortality. A lack of consistency in metrics used to characterise the community food environment remains a significant challenge to informing evidence-based policies and programs to improve community health outcomes.
不健康饮食是导致慢性非传染性疾病的一个主要可改变因素,并且受到周边社区食物环境的极大影响。本综述旨在总结和综合高收入国家中关于社区食物环境与健康结果之间关系的现有已发表证据。
按照PRISMA指南(注册号:CRD42023463886)进行了一项使用五个数据库的系统文献综述并报告结果。由于存在异质性,从55项研究中提取数据并采用叙述性综合法进行总结。使用收获图来描绘各种“健康”和“不健康”食物环境指标下社区食物环境与健康结果之间的关联。在纳入的55项研究中,研究最多的健康结果是糖尿病(n = 31;56.4%)、心血管疾病(n = 22;40%)和慢性病相关死亡率(n = 8;14.6%)。快餐店密度主要与糖尿病(n = 14/24种关联)、心血管疾病(n = 14/27)和慢性病相关死亡率(n = 5/6)呈正相关。同样,快餐店的存在(n = 7/9)、便利店密度(n = 7/13)以及不健康食品店的比例(n = 4/4)主要与糖尿病呈正相关。相反,全套服务餐厅的密度(n = 8/12)主要与糖尿病呈负相关。新出现的证据表明社区食物环境与健康结果之间存在关联,包括糖尿病、心血管疾病和慢性病相关死亡率。用于描述社区食物环境的指标缺乏一致性仍然是为改善社区健康结果制定循证政策和计划的一个重大挑战。