Table 3.
Description of the socio-demographic characteristics of the municipalities in the entire Bretagne region and within the higher-risk and lower-risk clusters (no. of municipalities = 1270).
| Variables | Entire Bretagne (n = 1270) | Higher-Risk Cluster ** (n = 53) | Lower-Risk Cluster ** (n = 169) | p-Value * | |
|---|---|---|---|---|---|
| SOCIO-DEMOGRAPHIC | |||||
| Occupation | Proportion of blue-collar workers in the labor force (%) | 34.1 ± 12.8 | 28.8 ± 8.9 | 28.9 ± 10.3 | 0.65 |
| Proportion of managers in the labor force (%) | 8.6 ± 5.8 | 9.1 ± 5.5 | 13.4 ± 6.6 | <0.001 | |
| Proportion of intermediary workers in the labor force (%) | 48.4 ± 11 | 50.7 ± 7.7 | 50.6 ± 7.8 | 0.11 | |
| Education | People aged 15 years or older with a higher education degree (%) | 22.5 ± 6.8 | 23.3 ± 5.4 | 28.6 ± 8.0 | <0.0001 |
| People aged 15 years or older with at least a lower tertiary education (%) | 47.5 ± 4.8 | 48.3 ± 4.1 | 45.9 ± 4.9 | 0.002 | |
| People aged 15 years or older who did not go beyond elementary education (%) | 29.9 ± 7.2 | 28.3 ± 6.3 | 25.5 ± 6 | 0.006 | |
| Unemployment | Proportion of unemployed people (%) | 10.2 ± 3.4 | 10.9 ± 2.8 | 7.8 ± 2.1 | <0.001 |
| Immigration status | Proportion of foreigners in the total population (%) | 1.9 ± 2.5 | 1.2 ± 0.7 | 1.3 ± 1.1 | 0.49 |
| Housing | Subsidized housing among all primary residences (%) | 4.9 ± 4 | 6.8 ± 3.3 | 6.6 ± 4.7 | 0.37 |
| Household with at least one car (%) | 91.9 ± 5.7 | 91.2 ± 7.4 | 93.7 ± 3.1 | 0.01 | |
| Resources | Median income per consumption unit (mean ±SD) | 19,437 ± 2029 | 19,863 ± 1046 | 20,831 ± 2129 | 0.002 |
| Residential mobility | Proportion of principal residence for less than 2 years (%) | 10 ± 3.1 | 8.6 ± 2.8 | 11.3 ± 3.4 | <0.001 |
| Proportion of principal residence for more than 10 years (%) | 56. ± 6.7 | 60.7 ± 6.7 | 51.2 ± 7.1 | <0.001 | |
* p-values are calculated from the Chi-square test or exact Fisher test except for the median income were the Wilcoxon rank test was used comparing high-risk cluster group to low-risk cluster group of municipalities in each covariate. ** The higher and lower-risk clusters were identified by SaTScan software as having significantly elevated or decreased risk of emergency first dialysis.