Table 1.
Subjects’ demographic profiles
Professional status | Gender | Age | BMI | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HCP (n = 256) |
Lay (n = 365) |
Male (n = 314) |
Female (n = 307) |
||||||||||
(n) | % | (n) | % | (n) | % | (n) | % | (n) | μ | (σ) | μ | (σ) | |
U.S.A. | (442) | 41 | (181) | 59 | (261) | 49 | (218) | 51 | (224) | 30.8 | (11.3) | 24.4 | (4.9) |
France | (50) | 50 | (25) | 50 | (25) | 50 | (25) | 50 | (25) | 50.0 | (10.3) | 24.3 | (4.1) |
Norway | (29) | 0 | (0) | 100 | (29) | 59 | (13) | 41 | (12) | 22.1 | (2.01) | 23.2 | (3.2) |
China | (25) | 0 | (0) | 100 | (25) | 100 | (25) | 0 | (0) | 20.4 | (0.7) | 21.3 | (2.3) |
Venezuela | (25) | 0 | (0) | 100 | (25) | 28 | (7) | 72 | (18) | 38.3 | (13.5) | 25.0 | (4.6) |
India | (25) | 100 | (25) | 0 | (0) | 36 | (9) | 64 | (16) | 45.5 | (7.6) | 26.5 | (3.8) |
Sri Lanka | (25) | 100 | (25) | 0 | (0) | 52 | (13) | 48 | (12) | 36.5 | (8.4) | 23.2 | (2.0) |