ObjectivesWe examined the combination of stores where US households shop for food and sociodemographic predictors of shopping patterns.MethodsWe conducted cross‐sectional analysis of US households' shopping patterns using Nielsen Homescan. Store type was classified using 2012 information into: warehouse‐club; convenience/drug/dollar; ethnic/specialty; grocery chains (蠅10 stores); mass‐merchandisers; independent (<10 stores); and other. Cluster analysis was used to derive shopping patterns (2000, 2003, 2006, 2009 and 2012). Multinomial logistic regression was used to identify whether specific subpopulations, defined by race and income characteristics, were associated with shopping patterns in 2012.ResultsFrom 2003 onwards, we found three shopping patterns: grocery‐chain cluster, mass‐merchandise/grocery‐chain cluster and combo store cluster. The proportion of households belonging to the grocery‐chain cluster decreased from 59.6% in 2003 to 50.7% in 2012, increased from 15.6% in 2003 to 21.9% in 2012 for mass‐merchandisers/grocery‐chain cluster and remained stable for the combo store cluster. Predicted probabilities for grocery‐chain cluster membership show no race‐ethic differences amongst low‐income households; however Hispanic/low‐income households had a significantly lower probability (vs. white‐non Hispanic/low‐income) to belong to the mass‐merchandise/grocery‐chain cluster and higher probability to belong to the combo store cluster.ConclusionsContrary to research on food desserts, low income and other US households shop for food at a variety of store‐types. These complex varied patterns must be considered in policy initiatives.
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