Figueroa Roger, Baker Katherine, Capellan Joel, Pinheiro Laura C, Burd Laura, Lim Jane, Chiong Reah, Eboh Relicious, Phillips Erica
Division of Nutritional Sciences, College of Human Ecology, Cornell University, 244 Garden Avenue, Ithaca, NY14853, USA.
Law & Justice Studies, Rowan University, 215 Mullica Road, Glassboro, NJ08028, USA.
Public Health Nutr. 2023 Apr;26(4):877-885. doi: 10.1017/S1368980022002476. Epub 2022 Nov 17.
To assess the clustering properties of residential urban food environment indicators across neighbourhoods and to determine if clustering profiles are associated with diet outcomes among adults in Brooklyn, New York.
Cross-sectional.
Five neighbourhoods in Brooklyn, New York.
Survey data ( 1493) were collected among adults in Brooklyn, New York between April 2019 and September 2019. Data for food environment indicators (fast-food restaurants, bodegas, supermarkets, farmer's markets, community kitchens, Supplemental Nutrition Assistance Program application centres, food pantries) were drawn from New York databases. Latent profile analysis (LPA) was used to identify individuals' food access-related profiles, based on food environments measured by the availability of each outlet within each participant's 800-m buffer. Profile memberships were associated with dietary outcomes using mixed linear regression.
LPA identified four residential urban food environment profiles (with significant high clusters ranging from 17 to 57 across profiles): limited/low food access, ( 587), bodega-dense ( 140), food swamp ( 254) and high food access ( 512) profiles. Diet outcomes were not statistically different across identified profiles. Only participants in the limited/low food access profile were more likely to consume sugar-sweetened beverages (SSB) than those in the bodega-dense profile (b = 0·44, < 0·05) in adjusted models.
Individuals in limited and low food access neighbourhoods are vulnerable to consuming significant amounts of SSB compared with those in bodega-dense communities. Further research is warranted to elucidate strategies to improve fruit and vegetable consumption while reducing SSB intake within residential urban food environments.
评估城市居民区食物环境指标在各社区的聚类特性，并确定聚类特征是否与纽约布鲁克林成年人的饮食结果相关。
横断面研究。
纽约布鲁克林的五个社区。
2019年4月至2019年9月期间收集了纽约布鲁克林成年人的调查数据（1493份）。食物环境指标数据（快餐店、杂货店、超市、农贸市场、社区厨房、补充营养援助计划申请中心、食品救济站）来自纽约数据库。基于每个参与者800米缓冲区内各场所的可及性所衡量的食物环境，采用潜在剖面分析（LPA）来识别个体与食物获取相关的特征。使用混合线性回归将剖面成员身份与饮食结果相关联。
LPA识别出四种城市居民区食物环境特征（各特征中显著高聚类范围为17至57）：食物获取受限/低（587人）、杂货店密集（140人）、食物沼泽（254人）和食物获取高（512人）特征。在所识别的特征中，饮食结果在统计学上无差异。在调整模型中，只有食物获取受限/低特征组的参与者比杂货店密集特征组的参与者更有可能饮用含糖饮料（SSB）（b = 0·44，P < 0·05）。
与杂货店密集社区的居民相比，食物获取受限和低的社区居民更容易大量饮用SSB。有必要进一步开展研究，以阐明在城市居民区食物环境中改善水果和蔬菜消费同时减少SSB摄入量的策略。
