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. 2020 Sep 29;17(19):7143. doi: 10.3390/ijerph17197143

Table 1.

Participant demographics (N = 4305).

Variables Mean (SD) or N (%)
Sociodemographic Variables
Age 41.3 (14.3)
Gender
Male 1634 (38%)
Female 2666 (61.9%)
Household income
Lower (annual household income <50k) 2109 (49.0%)
Higher 2177 (50.7%)
Education
High school or less 861 (20.0%)
Associate’s degree or some college 1657 (38.5%)
Bachelor’s degree or higher 1777 (41.3%)
Race/Ethnicity
Non-Hispanic White 2912 (67.6%)
Non-Hispanic Black 954 (22.2%)
Non-Hispanic Asian 84 (2.0%)
Non-Hispanic other 173 (4.0%)
Hispanic 1 162 (3.8%)
Current family structure
Single without children 1050 (24.4%)
Single with children 391 (9.1%)
Married without children 309 (7.2%)
Married with children 865 (20.1%)
Life partner without children 169 (3.9%)
Life partner with children 100 (2.3%)
Vehicle ownership
Own a car or someone in my house owns a car 2513 (58.4%)
Urban/suburban/rural area
Urban 1239 (28.8%)
Suburban 2102 (48.8%)
Rural 964 (22.4%)
Region
Midwest 969 (22.5%)
Northeast 855 (19.9%)
Southeast 1313 (30.5%)
Southwest 409 (9.5%)
West 758 (17.6%)
Neighborhood Food Environment
Food desert/swamp area 2
Living in a food desert area
Living in a food swamp area
279 (6.5%)
1751 (40.7%)
Not living in a food desert/swamp area 2039 (47.4%)
Outcome Variables
Diet quality 3
Low 1335 (31.0%)
Medium 1549 (36.0%)
High 1347 (31.3%)
Perceived Health quality
Poor 202 (4.7%)
Fair 974 (22.6%)
Good 1695 (39.4%)
Very good 1029 (23.9%)
Excellent 401 (9.3%)
Perceived Weight status
Slightly underweight 317 (7.4%)
About right 1582 (36.7%)
Slightly overweight 1813 (42.1%)
Very overweight 591 (13.7%)

1 Hispanic White: 114 (2.7%); Hispanic Black: 12 (0.2%); Hispanic Asian: 4 (0.1%); Hispanic other: 29 (0.7%). 2 If 0 < the mRFEI score < the median (0.368), it was designated as a perceived food swamp area; if the mRFEI score = 0, it was designated as a perceived food desert area; otherwise, it was defined not living in a food swamp/food desert area. 3 Diet quality was measured on a 6-point scale. We collapsed categories based on the distribution of diet quality score to create a high, medium, and low category.