Table 3.
Variable | All participants | Cluster 11 (n = 33) |
Cluster 2 (n = 25) |
Cluster 3 (n = 71) |
Cluster 4 (n = 68) |
---|---|---|---|---|---|
N (%) | N (%) | N (%) | N (%) | N (%) | |
Age (mean) (in years) | 42.2 (16.7) | 59.6 (12.6) | 45.8 (14.5)a | 41.9 (17.7)a | 32.8 (9.9) |
Gender | |||||
Men | 106 (53.8) | 13 (39.4)a | 22 (88.0)b | 21 (29.6)a | 50 (73.5)b |
Women | 91 (46.2) | 20 (60.6) | 3 (12.0) | 50 (70.4) | 18 (26.5) |
Country of birth | |||||
France | 188 (95.4) | 31 (93.9)a | 25 (100)a | 69 (97.2)a | 63 (92.6)a |
Elsewhere | 9 (4.6) | 2 (6.1) | 0 (0) | 2 (2.8) | 5 (7.4) |
Region | |||||
Alsace-Champagne-Ardenne-Lorraine | 26 (13.2) | 8 (24.2)a | 1 (4.0)a | 10 (14.1)a | 7 (10.3)a |
Aquitaine-Limousin-Poitou–Charentes | 17 (8.6) | 3 (9.1) | 3 (12.0) | 7 (9.9) | 4 (5.9) |
Auvergne-Rhône-Alpes | 30 (15.2) | 7 (21.2) | 5 (20.0) | 10 (14.1) | 8 (11.8) |
Burgundy-Franche-Comté | 10 (5.1) | 0 (0) | 3 (12.0) | 3 (4.2) | 4 (5.9) |
Brittany | 12 (6.1) | 3 (9.1) | 2 (8.0) | 3 (4.2) | 4 (5.9) |
Centre-Val de Loire | 6 (3.0) | 1 (3.0) | 1 (4.0) | 3 (4.2) | 1 (1.5) |
Île-de-France | 32 (16.2) | 1 (3.0) | 4 (16.0) | 9 (12.7) | 18 (26.5) |
Languedoc-Roussillon-Midi-Pyrénées | 17 (8.6) | 2 (6.1) | 1 (4.0) | 9 (12.7) | 5 (7.4) |
Nord-Pas-de-Calais-Picardy | 13 (6.6) | 2 (6.1) | 0 (0) | 4 (5.6) | 7 (10.3) |
Normandy | 6 (3.0) | 1 (3.0) | 1 (4.0) | 1 (1.4) | 3 (4.4) |
Pays de la Loire | 14 (7.1) | 1 (3.0) | 3 (12.0) | 6 (8.5) | 4 (5.9) |
Provence-Alpes-Côte d'Azur | 14 (7.1) | 4 (12.1) | 1 (4.0) | 6 (8.5) | 3 (4.4) |
City size | |||||
< 2 000 inhabitants (rural area) | 49 (24.9) | 14 (42.4)a | 7 (28.0)ab | 18 (25.4)ab | 10 (14.7)b |
2 000—20 000 inhabitants | 75 (38.1) | 13 (39.4) | 10 (40.0) | 26 (36.6) | 26 (38.2) |
20 000—100 000 inhabitants | 42 (21.3) | 2 (6.1) | 6 (24.0) | 14 (19.7) | 20 (29.4) |
> 100 000 inhabitants | 31 (15.7) | 4 (12.1) | 2 (8.0) | 13 (18.3) | 12 (17.6) |
Type of professional occupation | |||||
Farmer/ craftsperson, trader or business manager/ skilled or unskilled worker | 45 (22.8) | 5 (15.2)a | 8 (32.0)a | 14 (19.7)a | 18 (26.5)a |
Executive or higher intellectual profession/ Intermediate profession | 65 (33) | 8 (24.2) | 10 (40.0) | 23 (32.4) | 24 (35.3) |
Employee | 39 (19.8) | 6 (18.2) | 3 (12.0) | 17 (23.9) | 13 (19.1) |
Pensioner | 30 (15.2) | 14 (42.4) | 1 (4.0) | 13 (18.3) | 2 (2.9) |
Other, no professional activity | 18 (9.1) | 0 (0) | 3 (12.0) | 4 (5.6) | 11 (16.2) |
Educational level | |||||
No upper secondary school certificate | 60 (30.5) | 14 (42.4) a | 10 (40.0) a | 17 (23.9) a | 19 (27.9) a |
Upper secondary school certificate | 137 (69.5) | 19 (57.6) | 15 (60.0) | 54 (76.1) | 49 (72.1) |
Dependent children | |||||
No | 121 (61.4) | 23 (69.7) a | 20 (80.0) a | 39 (54.9) a | 39 (57.4) a |
Yes | 76 (38.6) | 10 (30.3) | 5 (20.0) | 32 (45.1) | 29 (42.6) |
Difficulty paying bills2 | |||||
Easy | 123 (62.4) | 17 (51.5) a | 12 (48.0) a | 50 (70.4) a | 44 (64.7) a |
Difficult | 74 (37.6) | 16 (48.5) | 13 (52.0) | 21 (29.6) | 24 (35.3) |
Tobacco use | |||||
No | 83 (42.6) | 26 (78.8) a | 3 (12.0) b | 48 (68.6) a | 6 (9.0) b |
Yes | 112 (57.4) | 7 (21.2) | 22 (88.0) | 22 (31.4) | 61 (91.0) |
Alcohol use3 | |||||
Never | 45 (23.0) | 7 (21.2) a | 5 (20.0) a | 19 (27.1) a | 14 (20.6) a |
Occasional | 90 (45.9) | 16 (48.5) | 10 (40.0) | 33 (47.1) | 31 (45.6) |
Regular | 61 (31.1) | 10 (30.3) | 10 (40.0) | 18 (25.7) | 23 (33.8) |
Cannabis use | |||||
No | 125 (65.8) | 33 (100) a | 15 (65.2) | 69 (100) a | 8 (12.3) |
Yes | 65 (34.2) | 0 (0) | 8 (34.8) | 0 (0) | 57 (87.7) |
Self-reported general health status4 | |||||
Good | 120 (60.9) | 5 (15.2) a | 1 (4.0) a | 60 (84.5) b | 54 (79.4) b |
Quite good | 49 (24.9) | 18 (54.5) | 16 (64.0) | 6 (8.5) | 9 (13.2) |
Poor | 28 (14.2) | 10 (30.3) | 8 (32.0) | 5 (7.0) | 5 (7.4) |
Chronic disease or health problem | |||||
No | 83 (42.1) | 4 (12.1) a | 2 (8.0) a | 43 (60.6) b | 34 (50.0) b |
One | 78 (39.6) | 24 (72.7) | 16 (64.0) | 19 (26.8) | 19 (27.9) |
More than one | 36 (18.3) | 5 (15.2) | 7 (28.0) | 9 (12.7) | 15 (22.1) |
‘Alternative medicines provide better solutions to health problems than conventional medicine’ | |||||
Disagree | 41 (20.9) | 8 (24.2) a | 15 (60.0) | 9 (12.7) a | 9 (13.4) a |
Agree | 97 (49.5) | 5 (15.2) | 2 (8.0) | 43 (60.6) | 47 (70.1) |
No opinion | 58 (29.6) | 20 (60.6) | 8 (32.0) | 19 (26.8) | 11 (16.4) |
Preferred means to obtain information | |||||
Television | 65 (33.0) | 17 (51.5) a | 11 (44.0) a | 18 (25.4) a | 19 (27.9) a |
Radio | 23 (11.7) | 4 (12.1) | 3 (12.0) | 10 (14.1) | 6 (8.8) |
Print media | 17 (8.6) | 2 (6.1) | 1 (4.0) | 3 (4.2) | 11 (16.2) |
Online media | 20 (10.2) | 2 (6.1) | 3 (12.0) | 7 (9.9) | 8 (11.8) |
Other internet5 | 38 (19.3) | 4 (12.1) | 3 (12.0) | 19 (26.8) | 12 (17.6) |
Close family members and friends | 34 (17.3) | 4 (12.1) | 4 (16.0) | 14 (19.7) | 12 (17.6) |
Cannabidiol use | |||||
Less than once a week | 100 (50.8) | 15 (45.5) a | 15 (60.0) a | 37 (52.1) a | 33 (48.5) a |
Around once a week | 32 (16.2) | 5 (15.2) | 1 (4.0) | 8 (11.3) | 18 (26.5) |
Several times a week | 34 (17.3) | 7 (21.2) | 2 (8.0) | 15 (21.1) | 10 (14.7) |
Every day or almost every day | 31 (15.7) | 6 (18.2) | 7 (28.0) | 11 (15.5) | 7 (10.3) |
‘Do you think that CBD is harmful for health?’ | |||||
Did not want to answer | 1 (0.5) | 0 a | 0 a | 1 (1.4) a | 0 a |
No opinion | 17 (8.6) | 7 (21.2) | 5 (19.2) | 3 (4.2) | 2 (2.9) |
Not at all harmful | 111 (56.3) | 18 (54.5) | 16 (61.5) | 50 (70.4) | 27 (39.1) |
Slightly harmful | 40 (20.3) | 6 (18.2) | 4 (15.4) | 8 (11.3) | 22 (31.9) |
Quite harmful | 16 (8.1) | 2 (6.1) | 0 | 4 (5.6) | 10 (14.5) |
Very harmful | 12 (6.1) | 0 | 0 | 5 (7.0) | 7 (10.1) |
1 Common superscript letters denote prevalences not statistically different between clusters. Bonferroni corrections for multiple comparisons were applied
2 Very easy or easy vs. difficult or very difficult
3 Never vs. occasional (less than once a week or around once a week) vs. regular (several times a week or every day or almost every day)
4 Very good or good vs. quite good vs. poor or very poor
5 Non-media websites and social networks