Table 4.
Age-stratified multivariable associations of rural–urban locality with mood disorder and obesity prevalence by county and combined counties*,+,#
| Age group | |||
|---|---|---|---|
| County | 18–45 | 46–65 | >65 |
| Mood disorder | |||
| Olmsted | 1.09 (1.03–1.17) | 1.26 (1.18–1.36) | 1.25 (1.12–1.39) |
| Dodge | 1.47 (1.28–1.68) | 1.35 (1.14–1.59) | 1.07 (0.84–1.37) |
| Wabasha | 1.10 (0.96–1.27) | 1.37 (1.17–1.61) | 0.95 (0.78–1.16) |
| Combined counties | 1.15 (1.09–1.22) | 1.29 (1.21–1.36) | 1.15 (1.05–1.25) |
| Obesity | |||
| Olmsted | 1.05 (0.96–1.16) | 1.16 (1.08–1.25) | 1.01 (0.91–1.13) |
| Dodge | 1.09 (0.92–1.29) | 1.16 (0.99–1.37) | 1.36 (1.07–1.72) |
| Wabasha | 1.08 (0.88–1.31) | 1.12 (0.94–1.33) | 0.94 (0.76–1.16) |
| Combined counties | 1.07 (0.09–1.15) | 1.15 (1.08–1.23) | 1.03 (0.94–1.13) |
*
All analyses examined the effect of rural–urban location (reference = rural) on the condition of interest within each age group. Analyses were adjusted for sex, race/ethnicity (Non-Hispanic White vs. other), and socioeconomic status (HOUSES) quartiles.
+
Two additional multivariate models included HCU (one or more general medical examination visits, and flu vaccination, respectively) which did not modify the observed effects.
#
In the analysis for combined county, the multivariable model added counties as additional adjusting factors.