Table 1.
Spain | Chile | Colombia | Ecuador | Total | ANOVA p value | |
Sample size | 271 | 261 | 268 | 282 | 1082 | |
Age, mean (SD) | 43.8 (15.7) | 43.9 (14.5) | 44 (14.8) | 44 (14.8) | 43.8 (15.1) | 0.99 |
Gender, n (%) | ||||||
Female | 136 (50.2) | 127 (48.7) | 131 (48.9) | 137 (48.6) | 531 (49.1) | |
Male | 135 (49.8) | 134 (51.4) | 137 (51.1) | 145 (51.4) | 551 (50.9) | |
Psychological variables, mean (SD) | ||||||
Stress | 17.0 (6.1) | 17 (6.2) | 15.3 (6.3) | 16.2 (6.3) | 16.4 (6.4) | 0.001 |
Well-being | 30.6 (5.8) | 31.5 (5.9) | 32.6 (5.4) | 32.2 (5.7) | 31.7 (5.7) | 0.33 |
Self-care | 58.5 (9.1) | 58.2 (11) | 59.9 (9.3) | 59.1 (10.1) | 58.9 (9.9) | 0.22 |
Income level, n (%) | ||||||
No salary | 45 (16.6) | 27 (10.3) | 43 (16) | 43 (15.2) | 158 (14.6) | |
One mw | 9 (3.3) | 22 (8.4) | 37 (13.8) | 19 (6.7) | 87 (8) | |
Two mw | 30 (11) | 36 (13.8) | 37 (13.8) | 42 (15) | 145 (13.4) | |
Three mw | 50 (18.5) | 35 (13.4) | 68 (25.3) | 36 (12.7) | 189 (17.5) | |
Four mw | 59 (21.7) | 34 (13) | 30 (12) | 52 (18.4) | 175 (16.2) | |
Five mw | 78 (28.8) | 107 (41) | 53 (19.7) | 90 (32) | 328 (30.3) | |
Educational level, n (%) | ||||||
Elementary | 4 (1.48) | 4 (1.53) | 1 (0.4) | 2 (0.7) | 11 (1) | |
High school | 42 (15.5) | 28 (7.0) | 35 (13.5) | 48 (17.0) | 153 (14.1) | |
Technical | 37 (13.7) | 33 (12.7) | 40 (15.3) | 12 (4.3) | 122 (11.3) | |
University | 188 (69.3) | 196 (75.1) | 192 (74.5) | 220 (78) | 796 (73.6) | |
COVID-19 variables, n (%) | ||||||
Confinement days | 21 (4.6) | 17.5 (6.5) | 17 (4.0) | 25 (0.6) | 20.24 (5.51) | |
Front-line workers (yes) | 80 (29.5) | 80 (30.7) | 131 (48.9) | 76 (27) | 367 (33.9) | |
Health risk (yes) | 89 (32.8) | 84 (32.2) | 77 (28.7) | 87 (30.9) | 337 (31.1) | |
Employment changes (yes) | 46 (17) | 51 (19.5) | 87 (32.4) | 87 (31) | 271 (25) | |
Accompanied during lockdown (yes) | 231 (85.2) | 237 (91) | 266 (99.2) | 248 (88) | 982 (90.8) | |
Community resources (yes) | 245 (90.4) | 233 (89.2) | 225(84) | 251 (89) | 936 (85.5) | |
Children in charge (yes) | 63 (23.2) | 86 (33) | 93 (34.7) | 95 (33.6) | 337 (31.1) | |
Older people in charge (yes) | 29 (10.5) | 57 (22) | 106 (39.5) | 95 (33.6) | 287 (26.5) |
Age, stress, well-being and self-care were coded as continuous variables, gender was coded as nominal variable, and income and educational levels were coded as ordinal variables. All COVID-19 variables were nominal with the exception of the number of confinement days, which was continuous.
ANOVA, analysis of variance; mw, minimun wage.