这项研究的目的是探讨地理食物获取与食物不安全之间的关系以及种族/民族的潜在作用。收入,以及低收入人群的城市化,德克萨斯州中部的不同样本。利用横断面研究设计,现有队列的次要数据分析用于检查粮食不安全之间的关联;地理食物获取;和种族/民族的社会人口统计学因素,收入,城市化,和使用二项逻辑回归模型的其他协变量。现有队列是从特拉维斯县的低收入社区招募的,德克萨斯州。样本(N=393)主要是西班牙裔,生活在城市地区,近40%的人粮食不安全。没有发现地理上的粮食获取与粮食不安全显着相关。然而,农村居民比城市居民有更大的粮食不安全的可能性。此外,与收入低于25,000美元的参与者相比,收入在45,000-64,999美元和65,000美元以上的参与者的食物不安全几率较低.这些发现增加了有关地理粮食获取与粮食不安全之间关联的不一致文献,并导致了粮食不安全文献中的城市化和收入差距。未来的工作应该考虑城市化,收入,并利用特定社区的数据来更好地了解地理粮食获取与粮食不安全之间的联系。
The purpose of this study was to explore the association between geographic food access and food insecurity and the potential role of race/ethnicity, income, and urbanicity among a low-income, diverse sample in Central Texas. Utilizing a cross-sectional study design, secondary data analysis of an existing cohort was used to examine the association between food insecurity; geographic food access; and sociodemographic factors of race/ethnicity, income, urbanicity, and additional covariates using binomial logistic regression models. The existing cohort was recruited from lower-income communities in Travis County, Texas. The sample (N = 393) was predominantly Hispanic, lived in urban areas, and nearly 40% were food insecure. Geographic food access was not found to be significantly associated with food insecurity. However, rural residents had greater odds of being food insecure than urban residents. Also, participants who earned USD 45,000-64,999 and over USD 65,000 had lower odds of being food insecure than participants who earned under USD 25,000. These findings add to the inconsistent literature about the association between geographic food access and food insecurity and contribute to urbanicity and income disparities in food-insecurity literature. Future work should consider urbanicity, income, and utilize community-specific data to gain greater understanding of the association between geographic food access and food insecurity.