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Identifying Neighborhoods at Potential Risk of Food Insecurity in Rural British Columbia
<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10009805" mdate="2018-10-03 00:00:00"> <author>Amirmohsen Behjat and Aleck Ostry and Christina Miewald and Bernie Pauly</author> <title>Identifying Neighborhoods at Potential Risk of Food Insecurity in Rural British Columbia</title> <pages>448 - 453</pages> <year>2018</year> <volume>12</volume> <number>11</number> <journal>International Journal of Nutrition and Food Engineering</journal> <ee>https://publications.waset.org/pdf/10009805</ee> <url>https://publications.waset.org/vol/143</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>Substantial research has indicated that socioeconomic and demographic characteristics&amp;rsquo; of neighborhoods are strong determinants of food security. The aim of this study was to develop a Food Insecurity Neighborhood Index (FINI) based on the associated socioeconomic and demographic variables to identify the areas at potential risk of food insecurity in rural British Columbia (BC). Principle Component Analysis (PCA) technique was used to calculate the FINI for each rural Dissemination Area (DA) using the food security determinant variables from Canadian Census data. Using ArcGIS, the neighborhoods with the top quartile FINI values were classified as food insecure. The results of this study indicated that the most food insecure neighborhood with the highest FINI value of 99.1 was in the BulkleyNechako (central BC) area whereas the lowest FINI with the value of 2.97 was for a rural neighborhood in the Cowichan Valley area. In total, 98.049 (19) of the rural population of British Columbians reside in high food insecure areas. Moreover, the distribution of food insecure neighborhoods was found to be strongly dependent on the degree of rurality in BC. In conclusion, the cluster of food insecure neighbourhoods was more pronounced in Central Coast, Mount Wadington, Peace River, Kootenay Boundary, and the AlberniClayoqout Regional Districts. </abstract> <index>Open Science Index 143, 2018</index> </article>