Age |
|
25–34 |
392 (27.0%) |
35–44 |
427 (29.4%) |
45–54 |
410 (28.2%) |
55–64 |
225 (15.5%) |
Gender |
|
Female |
924 (63.5%) |
Male |
523 (36.0%) |
Other |
7 (0.5%) |
Health issues putting the participant at risk of a severe form of COVID-19 |
|
Obesity |
103 (7.1%) |
Hypertension |
97 (6.7%) |
Other risk factors |
259 (17.8%) |
ALD status |
189 (13.0%) |
At-risk behavior from the previous COVID pandemics |
|
Smoking (no detail on the amount) |
403 (27.7%) |
Drinking (no detail on the amount or frequency) |
1076 (74.0%) |
Diploma |
|
Less than 2 years of study after the Baccalauréat |
229 (15.7%) |
2 years of study after the Baccalauréat |
218 (15.0%) |
More than 2 years of study after the Baccalauréat |
1007 (69.3%) |
Impact of the crisis on the income |
|
Yes |
498 (34.3%) |
No |
956 (65.7%) |
Composition of the household during confinement |
|
Living alone |
287 (19.7%) |
Living with children |
615 (42.3%) |
Living with a vulnerable person |
214 (14.7%) |
Characteristics of the place of residence during confinement |
|
Overcrowded |
81 (5.6%) |
Access to a private outside place (garden, balcony, etc.) |
1163 (80.0%) |
Breakdown of the participants between groups based on the impact of COVID-19 on their territory of residence during confinement |
|
Group 1 |
601 (41.3%) |
Group 2 |
373 (25.7%) |
Group 3 |
168 (11.6%) |
Group 4 |
312 (21.5%) |
Mental state indicator |
|
0 |
150 (10.3%) |
1 |
205 (14.1%) |
2 |
381 (26.2%) |
3 |
718 (49.4%) |
Concern about COVID-19′s impact |
Mean IC 95% |
Concerns about one’s health |
4.6 (4.5–4.7) |
Concerns about one’s relatives |
6.5 (6.4–6.6) |
Concerns about one’s financial state |
4.7 (4.5–4.8) |
Total: n = 1454 |