. 2016 May;106(5):881–888. doi: 10.2105/AJPH.2016.303048

TABLE 2—

Descriptive Statistics of Data Compiled From IRi Consumer Panel (2008–2012), Its Associated MedProfiler Data Set (2012), and County Business Patterns (2008): United States

Variable	% or Mean ±SD
Individual level (n = 38 650)^a
BMI, kg/m²	27.54 ±7.08
Overweight, %	31.92
Obese, %	31.54
Age, y	50.81 ±20.39
Female, %	53.17
Diet feature^b	0.00 ±1.00
Fast food,^c %	3.29
Exercise,^d %	39.98
Household level (n = 18 381)
USDAScore	6.06 ±1.54
Race/ethnicity, %
Non-Hispanic White	85.18
Hispanic	3.67
Non-Hispanic Black	8.31
Asian	2.88
Other race	2.09
Household size	2.15 ±1.14
Income, $	69 141.68 ±43 366.38
Education, %
≤ high school	17.01
Some college	28.68
College graduate	35.35
Post-college graduate	18.96
Married, %	62.24
Neighborhood level^e
Supermarket and other grocery stores (n = 2 103)	2.20 ±1.24
Clubs and supercenters (n = 2 103)	0.18 ±0.18
Convenience stores (n = 2 103)	0.71 ±0.71
Specialty food stores (n = 2 103)	0.62 ±0.61
Pharmacies and drug stores (n = 2 103)	1.58 ±0.85
Full-service restaurants (n = 2 103)	7.45 ±4.12
Limited-service restaurants (n = 2 103)	6.09 ±2.19
Poverty rate^f (n = 1 583)	16.37 ±5.86
Metro area^g (n = 2 104)	47.34
Food desert tract^h (n = 14 511)	5.66

Note. We report means and standard deviations for continuous variables, and percentages of observations equal to 1 for binary variables. BMI = body mass index.

^{^a}

Sample sizes for fast food and exercise are 38 646 and 38 644, respectively.

^{^b}

Diet feature is a factor analysis score constructed from 7 MedProfiler questions related to special diets, including high-fiber, high-protein, low-calorie, low-carbohydrate, low-fat, low-salt, and low-sugar diets. All responses to these dietary features were either yes (coded as 1) or no (0).

^{^c}

“Fast food” indicates whether the person eats at a fast-food restaurant on most days of a week.

^{^d}

“Exercise” indicates whether the person exercises for at least 20 minutes per day on most days of a week.

^{^e}

Food outlets at the neighborhood level are measured as the number of food store or restaurant establishments per 10 000 county residents. All the variables are measured at the county level, with 1 exception: food desert is measured at the census tract level.

^{^f}

“Poverty rate” measures the percentage of people below the federal poverty level in each county.

^{^g}

“Metro area” indicates metropolitan counties according to the 2013 Rural–Urban Continuum Codes from the USDA.

^{^h}

“Food desert tract” indicates census tracts that meet both low-income and low-access thresholds defined by the USDA.