Table 2. Regression Coefficients of Model Covariates for Estimating Predicted Risk for Childhood Obesity.
| Effect | Coefficients | SE | P Value |
|---|---|---|---|
| Variable | −3.4529 | 0.15 | <.001 |
| Age, y | |||
| 10-14 | 0.4117 | 0.03 | <.001 |
| 15-17 | Reference | ||
| Sex | |||
| Male | 0.5753 | 0.03 | <.001 |
| Female | Reference | ||
| Race | |||
| White | Reference | ||
| Black | 0.6804 | 0.05478 | <.001 |
| Hispanic | 0.5697 | 0.05 | <.001 |
| Asian | −0.1188 | 0.1714 | .49 |
| American Indian/Alaska Native | 0.7070 | 0.14 | <.001 |
| Hawaii Native/Pacific Islander | 0.7325 | 0.25 | .003 |
| Multiracial | 0.1655 | 0.12 | .16 |
| Other races | 0.0220 | 0.12 | .85 |
| Zip code, median household income, $ | |||
| 1st octile (≤36,388) | 0.8478 | 0.11 | <.001 |
| 2nd octile (36,389–42,730) | 0.7535 | 0.11 | <.001 |
| 3rd octile (42,731–47,927) | 0.6750 | 0.10 | <.001 |
| 4th octile (47,928–53,351) | 0.7204 | 0.10 | <.001 |
| 5th octile (53,352–60,371) | 0.5944 | 0.10 | <.001 |
| 6th octile (60,372–68,513) | 0.4319 | 0.08 | <.001 |
| 7th octile (68,514–81,395) | 0.3410 | 0.08 | <.001 |
| 8th octile (≥81,396) | Reference | ||
| Zip code, lifestyles ( 19 ) | |||
| High Society | 0.3810 | 0.12 | .002 |
| Upscale Avenues | 0.3063 | 0.12 | .01 |
| Metropolis | 0.3515 | 0.12 | .005 |
| Solo Acts | Reference | ||
| Senior Styles | 0.2716 | 0.13 | .03 |
| Scholars and Patriots | −0.1758 | 0.17 | .29 |
| High Hopes | 0.3312 | 0.11 | .003 |
| Global Roots | 0.4404 | 0.11 | <.0001 |
| Family Portrait | 0.4092 | 0.12 | .001 |
| Traditional Living | 0.3541 | 0.11 | .001 |
| Factories and Farms | 0.4768 | 0.13 | <.001 |
| American Quilt | 0.3711 | 0.13 | .004 |
| Zip code, urbanizationa | |||
| Principal Urban Centers I | Reference | ||
| Principal Urban Centers II | 0.0574 | 0.12 | .63 |
| Metro Cities I | −0.0739 | 0.11 | .51 |
| Metro Cities II | 0.1325 | 0.11 | .21 |
| Urban Outskirts I | 0.0561 | 0.11 | .61 |
| Urban Outskirts II | 0.1739 | 0.13 | .18 |
| Suburban Periphery I | −0.0788 | 0.11 | .49 |
| Suburban Periphery II | 0.0746 | 0.12 | .53 |
| Small Towns | 0.1453 | 0.14 | .29 |
| Rural I | 0.0458 | 0.13 | .72 |
| Rural II | 0.2242 | 0.14 | .11 |
| County, median annual household income, $ | |||
| 1st (≤40,647) | −0.1670 | 0.12 | .15 |
| 2nd (40,648–46,323) | −0.1919 | 0.11 | .08 |
| 3rd (46,324–51,075) | −0.1783 | 0.10 | .09 |
| 4th (51,076–54,755) | −0.1616 | 0.10 | .12 |
| 5th (54,756–57,898) | −0.0259 | 0.10 | .81 |
| 6th (57,890–63,046) | −0.0455 | 0.10 | .64 |
| 7th (63,047–76,686) | 0.0031 | 0.09 | .97 |
| 8th octile (≥76,687) | Reference | ||
| County National Survey of Children’s Health rural-urban status ( 20 ) | |||
| Central metro | Reference | ||
| Fringe metro | 0.0027 | 0.07 | .97 |
| Medium metro | 0.0118 | 0.06 | .83 |
| Small metro | −0.0168 | 0.07 | .80 |
| Micropolitan | −0.0136 | 0.07 | .84 |
| Noncore rural | −0.0526 | 0.08 | .51 |
a
Urbanization groupings are from ESRI (19).