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. Author manuscript; available in PMC: 2019 Oct 1.
Published in final edited form as: J Acad Nutr Diet. 2018 Jul 24;118(10):1844–1854. doi: 10.1016/j.jand.2018.04.017

Table 3.

Differences in socioeconomic characteristics, nutrition knowledge, and perceptions of food access between the identified food acquisition and shopping patterns of 466 participants from disadvantaged communities in a study of food access, food shopping, and food security in South Carolina (2013–2014)

Characteristics Class 1e
n=163
Class 2f
n=191
Class 3g
n=112
Class 1 vs.
Class 2 (ref)
Class 1 vs.
Class 3 (ref)
Class 3 vs.
Class 2 (ref)

%/
Mean
%/
Mean
%/
Mean
OR (95%CI) OR (95%CI) OR (95%CI)
SNAPa participation, %b 77.1 68.6 41.9 1.2 (0.6–2.3) 2.3 (1.0–5.1)* 0.5 (0.3–1.1)
Marginal food security, %bc 21.6 20.8 17.1 1.2 (0.4–3.4) 5.7 (1.9–17.1)* 0.2 (0.1–0.7)*
Low food security, %bc 34.9 34.4 27.1 1.2 (0.5–3.1) 5.3 (1.8–15.1)* 0.2 (0.1–0.6)*
Very low food insecurity, %bc 35.0 33.0 13.1 1.0 (0.4–2.6) 10.4 (3.6–30.5)*h 0.1 (0.0–0.3)*h
High school education, % 35.8 40.9 37.9 0.9 (0.5–1.9) 2.0 (0.9–4.7) 0.5 (0.2–1.0)
Less than high school education, %bc 39.6 35.7 6.2 1.3 (0.7–2.7) 12.9 (2.5–66.8)*h 0.1 (0.0–0.5)*h
Less than $20,000 household annual income, %bc 91.1 82.4 55.3 1.9 (0.8–4.5) 4.6* (1.6–12.6) 0.4 (0.2–0.9)*
Household size, mean 2.4 2.3 2.3 1.0 (0.8–1.2) 1.0 (0.8–1.3) 1.0 (0.8–1.2)
Nutrition knowledge, fruit and vegetable intake <5 servings per day, % 77.8 78.4 70.1 1.2 (0.6–2.2) 1.3 (0.5–3.2) 0.9 (0.4–2.2)
Perception of access to adequate food shopping in neighborhood is a problem, %cd 75.7 59.0 72.4 2.2 (1.3–3.9)* 0.8 (0.3–2.2) 2.6 (1.1–6.4)*

Model adjusts for age, sex, and race/ethnicity.

*

for P<0.05

a

SNAP: Supplemental Nutrition Assistance Program.

b

significant difference in the prediction of class membership between Class 1 and Class 3 using multinomial logistic regression;

c

significant difference in the prediction of class membership between Class 3 and Class 2 using multinomial logistic regression.

d

significant difference in the prediction of class membership between Class 1 and Class 2 using multinomial logistic regression;

e

Class 1: those who use community food resources, are infrequent grocery shoppers, and use someone else’s car or public transportation when shopping;

f

Class 2: those who use community food resources and are more frequent and proximal shoppers;

g

Class 3: those who do not use community food resources and are distal shoppers;

h

The large point estimates and wide confidence intervals are due to the small cell for very low food insecurity (n=17) and less than high school education (n=12) in class 3.