Table 2.
Socio-demographic characteristics of clusters.
| Cluster 1 (N = 27) |
Cluster 2 (N = 43) |
p-value | |
|---|---|---|---|
| Age Median [Q1; Q3] | 72.0 [66.5; 76.0] | 75.0 [70.0; 77.0] | 0.222 |
| Sex (female) | 12 (44%) | 25 (58%) | 0.384 |
| Years of education Median [Q1; Q3] | 13.0 [12.0; 18.0]* | 8.0 [8.0; 12.0]* | < 0.001 |
| Technological skills | |||
| None | 3 (11%)* | 15 (35%)* | 0.001 |
| Poor | 0 (0%)* | 9 (21%)* | |
| Modest | 13 (48%)* | 11 (26%)* | |
| Good | 9 (33%)* | 3 (7%)* | |
| Excellent | 2 (7%)* | 2 (5%)* | |
| Missing | 0 (0%)* | 3 (7%)* | |
| Marital status | |||
| Married/cohabitant | 22 (82%) | 33 (77%) | 0.782 |
| Widowed | 4 (15%) | 9 (21%) | |
| Divorced | 1 (4%) | 1 (2%) | |
| Offspring (yes) | 24 (89%) | 41 (95%) | 0.324 |
| Missing | 0 (0%) | 1 (2%) | |
| Current occupation | |||
| Working | 6 (22%) | 5 (12%) | 0.396 |
| Retired | 21 (78%) | 38 (88%) | |
| Past occupation | |||
| Never employed / Low skilled manual worker (e.g., agricultural worker, call center operator, etc.) | 1 (4%)* | 7 (16%)* | 0.007 |
| Skilled manual worker (e.g., craftman, nurse, barber, etc.) | 2 (7%)* | 14 (33%)* | |
| Skilled non manual worker (e.g., white-collar worker, shop keeper, sales representative, etc.) | 12 (44%)* | 16 (37%)* | |
| Professional occupation (e.g., CEO of a small company, psychologist, engineer, teacher, etc.) | 10 (37%)* | 6 (14%)* | |
| Highly responsible or intellectual occupation (e.g., CEO of large company, politicians, university professor, etc.) | 2 (7%)* | 0 (0%)* | |
Q = Quartile. * denotes significant differences across groups.