Table 2.
Descriptive characteristics of the baseline sample (N = 261)a
| Measure | Total | MyPlate | Calorie Counting | P-value | |||
|---|---|---|---|---|---|---|---|
| N | % | n | % | n | % | ||
| Demographic measures | |||||||
| Number of respondents | 261 | 100% | 131 | 50.2% | 130 | 49.8% | |
| Sex | .54 | ||||||
| Male | 12 | 4.6% | 5 | 3.8% | 7 | 5.4% | |
| Female | 249 | 95.4% | 126 | 96.2% | 123 | 94.6% | |
| Ethnicity | .71 | ||||||
| Black or African American | 20 | 7.7% | 10 | 7.6% | 10 | 7.7% | |
| Asian or Asian American | 2 | 0.8% | 1 | 0.8% | 1 | 0.8% | |
| White/Caucasian | 10 | 3.8% | 7 | 5.3% | 3 | 2.3% | |
| Hispanic/Latino | 225 | 86.2% | 112 | 85.5% | 113 | 86.9% | |
| Native American | 1 | 0.4% | 0 | 0.0% | 1 | 0.8% | |
| Other | 3 | 1.2% | 1 | 0.8% | 2 | 1.5% | |
| Educational attainment | .43 | ||||||
| Never attended / kindergarten only | 6 | 2.3% | 3 | 2.3% | 3 | 2.3% | |
| Less than high school | 120 | 46.0% | 57 | 43.5% | 63 | 48.5% | |
| High school / GED | 76 | 29.1% | 36 | 27.5% | 40 | 30.8% | |
| Some college | 53 | 20.3% | 33 | 25.2% | 20 | 15.4% | |
| College degree | 5 | 1.9% | 2 | 1.5% | 3 | 2.3% | |
| Some grad sch/ post-college degree | 1 | 0.4% | 0 | 0.0% | 1 | 0.8% | |
| Age (years); M = 41.8 (SD = 11.5) | .98 | ||||||
| 18–29 years | 43 | 16.5% | 23 | 17.6% | 20 | 15.4% | |
| 30–39 years | 65 | 24.9% | 32 | 24.4% | 33 | 25.4% | |
| 40–49 years | 90 | 34.5% | 44 | 33.6% | 46 | 35.4% | |
| 50–59 years | 44 | 16.9% | 23 | 17.6% | 21 | 16.2% | |
| 60+ years | 19 | 7.3% | 9 | 6.9% | 10 | 7.7% | |
| Marital status | .95 | ||||||
| Living without a partner/ single | 125 | 47.9% | 63 | 48.1% | 62 | 47.7% | |
| Living as married/ married living together | 136 | 52.1% | 68 | 51.9% | 68 | 52.3% | |
| Preferred language | .92 | ||||||
| English | 67 | 25.7% | 34 | 26.0% | 33 | 25.4% | |
| Spanish | 194 | 74.3% | 97 | 74.1% | 97 | 74.6% | |
| Place of birth | .87 | ||||||
| Born in US | 47 | 18.1% | 24 | 18.5% | 23 | 17.7% | |
| Born outside US | 213 | 81.9% | 106 | 81.5% | 107 | 82.3% | |
| Key outcome measures | |||||||
| BMI (kg/m2); M = 33.3 (SD = 3.6) | .38 | ||||||
| 27 to < 30 | 54 | 20.7% | 32 | 24.4% | 22 | 16.9% | |
| 30 to < 35 | 121 | 46.4% | 60 | 45.8% | 61 | 46.9% | |
| 35 to < 40 | 73 | 28.0% | 32 | 24.4% | 41 | 31.5% | |
| 40+ | 13 | 5.0% | 7 | 5.3% | 6 | 4.6% | |
|
Waist circumference (cm); M = 102 (SD = 9.4) |
.09 | ||||||
| 80 to < 90 | 19 | 7.3% | 13 | 10.0% | 6 | 4.6% | |
| 90 to < 100 | 98 | 37.7% | 52 | 40.0% | 46 | 35.4% | |
| 100 to < 110 | 89 | 34.2% | 45 | 34.6% | 44 | 33.9% | |
| 110+ | 54 | 20.8% | 20 | 15.4% | 34 | 26.2% | |
|
How much hunger did you feel yesterday? (mm)b; M = 49.1 (SD = 27.4) |
.81 | ||||||
| 0 to < 25 | 39 | 14.9% | 22 | 16.8% | 17 | 13.1% | |
| 25 to < 50 | 39 | 14.9% | 20 | 15.3% | 19 | 14.6% | |
| 50 to < 75 | 131 | 50.2% | 65 | 49.6% | 66 | 50.8% | |
| 75 to 100 | 52 | 19.9% | 24 | 18.3% | 28 | 21.5% | |
|
Meal satisfaction did you feel yesterday? (mm)b; M = 32.1 (SD = 32.9) |
.81 | ||||||
| 0 to < 25 | 124 | 47.5% | 59 | 45.0% | 65 | 50.0% | |
| 25 to < 50 | 39 | 14.9% | 20 | 15.3% | 19 | 14.6% | |
| 50 to < 75 | 54 | 20.7% | 30 | 22.9% | 24 | 18.5% | |
| 75 to 100 | 44 | 16.9% | 22 | 16.8% | 22 | 16.9% | |
|
How full did you feel after last meal yesterday (mm)b? M = 68.0 (SD = 28.9) |
.52 | ||||||
| 0 to < 25 | 106 | 40.6% | 49 | 37.4% | 57 | 43.9% | |
| 25 to < 50 | 55 | 21.1% | 26 | 19.9% | 29 | 22.3% | |
| 50 to < 75 | 67 | 25.7% | 38 | 29.0% | 29 | 22.3% | |
| 75 to 100 | 33 | 12.6% | 18 | 13.7% | 15 | 11.5% | |
| DASH dietary quality index | .008 | ||||||
| Lowest tertile | 75 | 32.6% | 48 | 41.7% | 27 | 23.5% | |
| Medium tertile | 76 | 33.0% | 36 | 31.3% | 40 | 34.8% | |
| Highest tertile | 79 | 34.4% | 31 | 27.0% | 48 | 41.7% | |
|
Mental health index; M = 77.0 (SD = 18.6) |
.48 | ||||||
| 0–64 | 69 | 26.5% | 32 | 24.8% | 37 | 28.2% | |
| 65–80 | 70 | 26.9% | 32 | 24.8% | 38 | 29.0% | |
| 81–92 | 70 | 26.9% | 35 | 27.1% | 35 | 26.7% | |
| 93–100 | 51 | 19.6% | 30 | 23.3% | 21 | 16.0% | |
|
Health-related Quality of Life; M = 74.2 (SD = 18.1) |
.16 | ||||||
| 0–59 | 57 | 21.9% | 27 | 20.9% | 30 | 22.9% | |
| 60–79 | 72 | 27.7% | 42 | 32.6% | 30 | 22.9% | |
| 80–89 | 68 | 26.2% | 27 | 20.9% | 41 | 31.3% | |
| 90–100 | 63 | 24.2% | 33 | 25.6% | 30 | 22.9% | |
| Key potential confounders | |||||||
| Acculturation | .43 | ||||||
| Lowest tertile | 86 | 33.6% | 39 | 30.5% | 47 | 36.7% | |
| Medium tertile | 85 | 33.2% | 47 | 36.7% | 38 | 29.7% | |
| Highest tertile | 85 | 33.2% | 42 | 32.8% | 43 | 33.6% | |
| Food insecurity-not enough money to buy food | .18 | ||||||
| No | 203 | 78.1% | 97 | 74.6% | 106 | 81.5% | |
| Yes | 57 | 21.9% | 33 | 25.4% | 24 | 18.5% | |
| Food insecurity-did not eat because could not afford to buy food | .49 | ||||||
| No | 225 | 86.2% | 111 | 84.7% | 114 | 87.7% | |
| Yes | 36 | 13.8% | 20 | 15.3% | 16 | 12.3% | |
aSample size = 260 for Place of birth, waist circumference and 230 for DASH dietary quality because of missing data
bmm = millimeters on a 100 mm visual analogue scale