Table 3.
Binary logistic regression for the relationship between demographic variables and prediabetes status for TX Sprouts participantsa.
| All TX Sprouts participants (n = 976) | Hispanic TX Sprouts participants (n = 461) | |||||||
|---|---|---|---|---|---|---|---|---|
| n (%) with prediabetesb | AOR | 95% CI | p-value | n (%) with prediabetesc | AOR | 95% CI | p-value | |
| Sex | ||||||||
| Female | 128 (27.6%) | REF | – | – | 96 (28.7%) | REF | – | – |
| Male | 128 (25.0%) | 0.88 | (0.84, 1.54) | 0.392 | 101 (31.3%) | 1.11 | (0.78, 1.57) | 0.562 |
| Age (years) | ||||||||
| 7 to 8 | 55 (26.7%) | REF | – | – | 43 (31.6%) | REF | – | – |
| 9 | 82 (23.4%) | 0.88 | (0.58, 1.32) | 0.526 | 60 (26.3%) | 0.79 | (0.49, 1.27) | 0.328 |
| 10 | 92 (26.4%) | 0.98 | (0.65, 1.47) | 0.915 | 72 (29.4%) | 0.94 | (0.59, 1.49) | 0.776 |
| 11 to 12 | 27 (38.0%) | 1.85 | (1.01, 3.38) | 0.047 | 22 (44.9%) | 1.81 | (0.91, 3.63) | 0.093 |
| Race/ethnicity | ||||||||
| Non-Hispanic White | 14 (8.4%) | REF | – | – | – | – | – | – |
| Hispanic | 197 (29.9%) | 2.82 | (1.53, 5.18) | 0.001 | – | – | – | – |
| Black | 34 (34.7%) | 4.93 | (2.42, 10.05) | <0.001 | – | – | – | – |
| Other | 11 (20.8%) | 2.13 | (0.88, 5.17) | 0.094 | – | – | – | – |
| Free/reduced-price lunch recipient | ||||||||
| No | 51 (18.1%) | REF | – | – | 42 (30.4%) | REF | – | – |
| Yes | 205 (29.5%) | 1.29 | (0.88, 1.90) | 0.192 | 155 (42.5%) | 0.91 | (0.59, 1.42) | 0.688 |
| Parent education | ||||||||
| College graduate | 27 (13.4%) | REF | – | – | 13 (17.6%) | REF | – | – |
| Some college/vocational school | 43 (19.3%) | 1.24 | (0.71, 2.15) | 0.452 | 26 (20.3%) | 1.26 | (0.59, 2.67) | 0.555 |
| High school grad/GED | 64 (31.8%) | 2.25 | (1.31, 3.86) | 0.003 | 136 (35.3%) | 2.57 | (1.26, 5.26) | 0.010 |
| Some high school | 37 (37.4%) | 2.83 | (1.52, 5.28) | 0.001 | 30 (37.0%) | 2.85 | (1.32, 6.18) | 0.008 |
| Finished 8th grade | 42 (39.6%) | 3.12 | (1.69, 5.76) | <0.001 | 38 (38.0%) | 3.02 | (1.44, 6.34) | 0.003 |
| Less than 8th grade | 42 (29.5%) | 1.89 | (1.03, 3.45) | 42 (30.2%) | 2.07 | (1.00, 4.295) | 0.050 | |
| BMI category | ||||||||
| Underweight/normal | 106 (21.7%) | REF | – | – | 77 (25.3%) | REF | – | – |
| Overweight | 57 (30.5%) | 1.4 | (0.94, 2.07) | 0.1 | 50 (36.0%) | 1.55 | (0.99, 2.42) | 0.054 |
| Obesity | 93 (31.0%) | 1.5 | (1.07, 2.12) | 0.02 | 70 (32.3%) | 1.43 | (0.96, 2.13) | 0.078 |
| Model fit: p-value: <0.001 Nagelkerke R square: 0.123 | Model fit: p-value: 0.002 Nagelkerke R square: 0.065 | |||||||
aAll variables were included in the binary logistic regression model together.
b256 of 976 children had prediabetes. This column displays percentages for those 256 within each variable’s categories.
c197 of 461 Hispanic or Latino children had prediabetes. This column displays percentages for those 197 within each variable’s categories.