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Background: Motivated by concern over lack of access to nutritious food in low-income neighborhoods, healthy food financing initiatives have encouraged the introduction of new supermarkets. Extensive research on the association between the food retail environment and nutrition outcomes has shown mixed results. There has been less research specifically on food security outcomes. Objective: We assessed the association between multiple food environment measures and food security for low-income US households. Methods: By using the USDA's nationally representative 2012-2013 Food Acquisition and Purchase Survey (FoodAPS; n = 4826 households), which provides unique information about neighborhood- and household-level food retailer access, we quantified cross-sectional associations between food environment characteristics and household-level outcomes, with and without regression controls. Logistic regression analysis was used for binary household food security outcomes. Results: Most households bypassed the nearest retailer to select a primary retailer farther from home. For low-income households, distance to the nearest supermarket and to the primary retailer was not associated with food security. In comparison to shopping with households' own automobile, the odds of being food secure were lower for households that used another automobile (OR: 0.59; 95% CI: 0.38, 0.90) or other transportation (OR: 0.32; 95% CI: 0.17, 0.61) to reach the primary retailer. Conclusions: Having a closest supermarket ≤1 mile from home was not associated with household food security. In contrast, the mode of transportation used to access the primary retailer was associated with household food security. In future research, it may be valuable to not only focus on the distance to the nearest supermarket but to investigate the qualities of the food retail environment at distances >1 mile that are most strongly associated with food security outcomes.
Pubmed ID: 29955686
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THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented September 29, 2016. A workbench tool to make existing population genetic software more accessible and to facilitate the integration of new tools for analyzing patterns of DNA sequence variation, within a phylogenetic context. Collectively, SNAP tools can serve as a bridge between theoretical and applied population genetic analysis. The exploration of DNA sequence variation for making inferences on evolutionary processes in populations requires the coordinated implementation of a Suite of Nucleotide Analysis Programs (SNAP), each bound by specific assumptions and limitations.
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