Table 2.
Estimated association between county characteristics and cluster overlapa (N = 3142), by health construct.
Relative risk ratios are reported with 95% confidence intervals in parenthesis.
| Preventive Health Behaviors | Food Related Population Health | Overall Physical Health | Overall Mental Health | |
|---|---|---|---|---|
| Favorable Overlaps: Overlapping Clusters of Good Health and Low Food Insecurity | ||||
| % Black | 0.885** (0.822, 0.952) | 0.996 (0.937, 1.06) | 0.992 (0.94, 1.046) | 0.966 (0.902, 1.034) |
| % American Indian | 0.872 (0.71,1.07) | 0.686* (0.471, 0.999) | 0.996 (0.905,1.097) | 1.083** (1.03, 1.139) |
| % Asian | 1.205* (1.045, 1.389) | 1.075 (0.979, 1.179) | 1.14** (1.037, 1.253) | 1.083 (0.976, 1.202) |
| % Native Hawaiian_Pacific Islander | 0.164 (0.006, 4.385) | 0.077 (0.003, 1.846) | 0.197 (0.025, 1.553) | 0.159+ (0.021, 1.213) |
| % other race | 0.928 (0.775, 1.112) | 0.938 (0.789, 1.115) | 0.891+ (0.784, 1.013) | 0.897+ (0.799, 1.007) |
| % Below Poverty | 0.751*** (0.685, 0.824) | 0.535*** (0.416, 0.687) | 0.764*** (0.707, 0.827) | 0.811*** (0.759, 0.866) |
| % Unemployed | 0.998** (0.997, 0.999) | 1.00 (0.998, 1.002) | 0.995*** (0.994, 0.996) | 0.995*** (0.994, 0.996) |
| % Female Headed Households | 1.001 (0.999, 1.003) | 1.001 (0.999, 1.003) | 0.999 (0.998, 1.001) | 0.999+ (0.998, 1.00) |
| % Foreign Born | 1.00 (0.998, 1.001) | 1.001** (1.00, 1.002) | 1.00 (0.999, 1.001) | 1.00 (1.00, 1.001) |
| Population Densitya | 0.999 (0.998, 1.00) | 1.00 (1.00, 1.00) | 1.00 (1.00, 1.00) | 1.00 (1.00, 1.00) |
| Unfavorable Overlaps: Overlapping Clusters of Poor Health and High Food Insecurity | ||||
| % Black | 1.046*** (1.024, 1.069) | 1.103*** (1.073, 1.134) | 1.051*** (1.028, 1.075) | 1.043*** (1.02, 1.067) |
| % American Indian | 0.936* (0.886, 0.988) | 0.937* (0.89, 0.987) | 0.99 (0.959, 1.023) | 0.973 (0.936, 1.011) |
| % Asian | 0.774 (0.408, 1.468) | 0.734 (0.375, 1.436) | 1.014 (0.713, 1.442) | 1.035 (0.703, 1.524) |
| % Native HawaiiamPacific Islander | 0.389 (0.034, 4.396) | 1.192 (0.25, 5.682) | 0.967 (0.429, 2.179) | 1.071 (0.744, 1.541) |
| % other race | 0.962 (0.854, 1.082) | 1.035 (0.955, 1.121) | 0.985 (0.902, 1.075) | 0.996 (0.924, 1.073) |
| % Below Poverty | 1.206*** (1.136, 1.281) | 1.236*** (1.159, 1.319) | 1.22*** (1.158, 1.285) | 1.246*** (1.181, 1.316) |
| % Unemployed | 0.999+ (0.998, 1.00) | 1.00 (0.999, 1.001) | 1.00 (1.00, 1.001) | 1.00 (1.00, 1.001) |
| % Female Headed Households | 1.002** (1.00, 1.003) | 1.001 (1.00, 1.002) | 1.00 (0.999, 1.002) | 1.001 (1.00, 1.002) |
| % Foreign Born | 0.998* (0.997, 1.00) | 0.997* (0.994, 1.00) | 0.999* (0.998, 1.00) | 0.998** (0.997, 1.00) |
| Population Densitya | 0.987** (0.978, 0.997) | 0.993*** (0.99, 0.997) | 0.993* (0.988, 0.998) | 0.99* (0.981, 0.999) |
**
p < 0.01.
*
p < 0.05.
+
p < 0.10.
***
p < 0.001.
a
The dependent variable for the models is a categorical variable indicating favorable cluster overlaps (dependent variable =1) and unfavorable cluster overlaps (dependent variable=2). The dependent variable takes on a value of 0 for the case when a county either does not lie in a cluster overlap or is in a mixed cluster overlap. Models were estimated using multinomial logistic regression.