Table 4 |
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|
Regression models predicting Low Fat Vegetable consumption |
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| Step One (Personal characteristics) |
Step Two (Step 1 + nearest environmental variables) |
Step Three (Step 1 + psychosocial variables) |
Step Five (Step 1 + nearest environmental & psychosocial variables) |
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|
|
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| Variable |
Coeff |
Z |
P |
Coeff |
Z |
P |
Std. |
Z |
P |
Coeff |
Z |
P |
|
|
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| BMI %tile |
0.003 |
0.73 |
0.464 |
0.003 |
0.77 |
0.441 |
0.003 |
0.81 |
0.418 |
0.003 |
0.85 |
0.394 |
| Age |
0.070 |
0.56 |
0.573 |
0.069 |
0.57 |
0.568 |
0.029 |
0.26 |
0.797 |
0.030 |
0.27 |
0.786 |
| PG (ref GED) |
0.593 |
0.97 |
0.330 |
0.900 |
1.48 |
0.139 |
0.423 |
0.76 |
0.444 |
0.635 |
1.13 |
0.257 |
| College (ref GED) |
0.042 |
0.07 |
0.946 |
0.348 |
0.57 |
0.569 |
-0.084 |
-0.15 |
0.880 |
0.129 |
0.23 |
0.819 |
| Tech College (ref GED) |
0.136 |
0.21 |
0.834 |
0.214 |
0.34 |
0.737 |
0.069 |
0.12 |
0.907 |
0.130 |
0.22 |
0.824 |
| Ethnicity (ref Anglo) |
0.338 |
1.09 |
0.276 |
0.205 |
0.67 |
0.506 |
0.211 |
0.75 |
0.453 |
0.131 |
0.47 |
0.641 |
| Social Desirability |
0.009 |
0.45 |
0.656 |
-0.002 |
-0.10 |
0.923 |
0.006 |
0.31 |
0.753 |
-0.001 |
-0.04 |
0.964 |
| Distance to Small Food Store |
- |
- |
- |
0.001 |
2.74 |
0.006 |
- |
- |
- |
0.000 |
1.87 |
0.060 |
| Low Fat Veg Preferences |
- |
- |
- |
- |
- |
- |
0.057 |
3.04 |
0.002 |
0.050 |
2.70 |
0.007 |
| Low Fat Veg Home Availability |
- |
- |
- |
- |
- |
- |
0.181 |
4.58 |
< 0.001 |
0.177 |
4.48 |
< 0.001 |
| Within Troop R2 |
0.0100 |
0.0447 |
0.1888 |
0.2130 |
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| Between Troop R2 |
0.1193 |
0.3366 |
0.5985 |
0.6124 |
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| Overall R2 |
0.0338 |
0.0741 |
0.2190 |
0.2348 |
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|
|
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|
Step Four: Distance to the nearest Small Food Store (SFS) was associated with low fat vegetable preferences (z = 2.32, p < 0.020) but not low fat vegetable home availability (z = 0.47, p = 0.638) Sobel test indicated that low fat vegetable preferences partially mediated (26%) the relationship between distance to nearest Small Food Store (SFS) and low fat vegetable intake (z = 2.13, p = 0.032) |
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|
Jago et al. International Journal of Behavioral Nutrition and Physical Activity 2007 4:35 doi:10.1186/1479-5868-4-35 |
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