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Table 1 Participant and small and non-traditional food store characteristicsa

From: Association between store food environment and customer purchases in small grocery stores, gas-marts, pharmacies and dollar stores

Participant characteristics (n = 594)
Dependent variables N (%)
 Purchase of a fruit or vegetable (≥1 serving) 49 (8)
 Purchase of a whole grain (≥1 serving) 50 (8)
  Mean (SD)
 HEI-2010b of purchase 31 (13)
Covariates
 Age 40 (15)
  N (%)
 Gender (male) 341 (58)
 Race/ethnicity  
  Hispanic 19 (3)
  White Non-Hispanic 285 (48)
  Black Non-Hispanic 214 (36)
  Native American 12 (2)
  Asian 22 (4)
  Other 20 (3)
  Multi-race 19 (3)
 Education  
  High school or less 214 (36)
  Some college 220 (37)
  College degree 158 (27)
 Employment  
  Employed 381 (64)
  Unemployed 149 (25)
  Other (student, retired, disability) 63 (11)
Store characteristics (n = 99)
Independent variables Median (Q1, Q3)
 Pounds of fruits/vegetables (fresh and frozen) 15 (0, 52)
 Varieties of fruits/vegetables (fresh, frozen and canned) 9 (5, 15)
 Pounds of whole grains 14 (2, 37)
 Varieties of whole grains 2 (1, 3)
 Shelf space (in feet)  
  Fresh fruit/vegetables 4 (0, 9)
  Unhealthy foods (snacks & sugar-sweetened beverages) 359 (244, 420)
  Ratio of fresh fruits/vegetables to unhealthy foods 0.01 (0, 0.03)
  Mean (SD)
 Healthy Food Supply Score (HFSS)c 11 (5)
  N (%)
 Healthy impulse buys at checkout 62 (63)
 Fruit/vegetable impulse buys at checkout 20 (20)
 Healthy ads/promos: exterior 39 (39)
 Healthy ads/promos: interior 22 (22)
 Fruit/vegetables visible from entrance 35 (35)
Covariates N (%)
 Store type
  Corner/small grocery 40 (40)
  Gas/food mart 30 (30)
  Dollar store 8 (8)
  Pharmacy 21 (21)
Number of aisles
  0–4 30 (31)
  5–8 35 (36)
  9+ 32 (33)
Number of registers
  1 35 (36)
  2–3 39 (40)
  4+ 23 (24)
  1. Q1 first quartile, Q3 third quartile, SD standard deviation
  2. aData collected in Minneapolis/St. Paul, MN in 2014
  3. bPossible range 0–100
  4. cPossible range 0–31